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CLIMATE RESPONSIVE PLANNING AND BUDGETING IN THE MEKONG DELTA
Monitoring Climate Targets through Budget Classification
2
Abbrevations
BMZ German Ministry for Economic Cooperation and Development
CA Commitment Appropriations
CC Climate Change
CCD Climate Change Delivery
CC&GG Climate Change & Green Growth
CCVI Climate Change Vulnerability Index
CPEIR Climate Public Expenditure and Investment Review
COP Conference of Parties
DAC OECD Development Assistance Committee
DARD Provincial Department of Agriculture and Rural Development
DFAT Australian Department for Foreign Affairs and Trade
DoC Provincial Department of Construction
DoH Provincial Department of Health
DoLISA Provincial Department of Labor, Invalids and Soc. Affairs
DoNRE Provincial Department of Natural Resources and Environment
DoST Provincial Department of Science and Technology
DoT Provincial Department of Transportation
DPI Provincial Department of Planning and Investment
EC European Commission
EU European Union
GDP Gross Domestic Product
GEAP Gender Equality Action Planning
GHG Green House Gas
GIZ German International Cooperation
GoV Government of Vietnam
MARD Ministry of Agriculture and Rural Development
MoC Ministry of Construction
MoF Ministry of Finance
3
MoNRE Ministry of Natural Resources and Environment
MoIT Ministry of Industry and Trade
MoT Ministry of Transportation
MRV Measuring, Reporting, Verification
MPI Ministry of Planning and Investment
NCCS National Climate Change Strategy (Vietam)
NDC (Intended) Nationally Determined Contributions
NTP National Target Programme
ICMP Integrated Coastal Management Programme
ODA Overseas Development Assistance
OECD Organisation for Economic Cooperation and Development
PEFA Public Expenditure Framework Assessment
PG Policy and Governance
PM Prime Minister
PPC Provincial People’s Committee
SEDP Socio-Economic Development Plan
SP-RCC Sector Programme to Respond to Climate Change
ST Science Technology
UNDP United Nations Development Programme
UNFCCC United Nations Framework Convention for Climate Change
USD US Dollar
VGGS Vietnam Green Growth Strategy
VND Vietnamese Dong
Y1, 2, 3 Year 1, 2, 3
4
Contents
Abbrevations......................................................................................................... 2
1. Executive Summary.......................................................................................... 6
2. From Paris to the Mekong Delta – Climate Strategy Implementation and Reporting………………………………....................................................................
8
2.1 The Paris Agreement and Enhanced Transparency…………………….. 9
2.2 Vietnam’s Response to Climate Change…………………………………... 10
3. Methods to classify climate responsive investments…………………………… 13
3.1 OECD-DAC Climate Markers………………………………………………... 15
3.2 The CPEIR Typology in Vietnam…………………………………………… 16
3.3 Which Budget? Plan vs. Disclosure and Investment vs. Recurrent……. 24
3.4 Approaches to Classification and Cooperation in the Mekong Delta………………………………………………………………………………… 25
4. Ex-Post Classification of Investment Budget Plans in the Mekong Delta……………………………………………………………………………………... 27
4.1 Results from 4 Mekong Delta Provinces…………………………………… 28
4.2 Ca Mau province……………………………………………………………… 32
4.3 Bac Lieu province…………………………………………………………….. 37
4.4 Kien Giang province………………………………………………………….. 40
4.5 Soc Trang province…………………………………………………………… 44
4.6 Summary of Findings and Conclusions Concerning the Mekong Delta Provinces…………………………………………………………………………… 47
5. Iterative Steps and Recommendations for Future Planning……………………. 49
Bibliography……………………………………………………………………………... 54
5
List of tables
Table 1: Task to implement the Paris Agreement (NDC, 2016) 10
Table 2: Connection between Vietnam’s already existing climate change approaches and NDC tasks 11
Table 3: CPEIR and CC&GG classification and weighting criteria 18
Table 4: Merging weighting criteria with investment typology 19
Table 5: Mekong Delta Climate Change Budget Classification 2013-2015 29
Table 6: Ca Mau’s climate change responsive investments 2015 according to source 33
Table 7: Ca Mau’s TOP line item climate responsive investments 2015 34
Table 8: Bac Lieu’s climate change responsive investment 2015 according to source 37
Table 9: Bac Lieu’s TOP line item climate responsive investments 2015 38
Table 10: Kien Giang’s climate change responsive investments 2015 according to source 41
Table 11: Kien Giang’s TOP line item climate change responsive investments 2015 42
Table 12: Soc Trang’s 2015 investments according to source 44
Table 13: Soc Trang’s TOP line item investments for climate change response in 2015 46
6
1. EXECUTIVE SUMMARY
7
Vietnam is among the countries worldwide to be
most affected by climate change. The
Government of Vietnam has therefore started to
focus on appropriate strategy formulation to
focus on both adaptation and mitigation. As a
signatory to the 2015 Paris Agreement,
Vietnam’s Nationally Determined Contributions
(NDC) will be moved further in the limelight of
attention. Pressure to therefore identify
approaches to ensure a visibility and connection
between policy and implementation on the one
hand and to monitor the associated flow of
funding on the other, will grow. This survey
tries to shed more light on the question, how a
higher visibility of climate responsive funding
can be reached and potentially connected to
strategies. As the country is characterized by its
high degree of decentralization, the center piece
of the survey is the assessment of climate
change investments at provincial level. The
survey has been part of the cooperation
between the Government of Vietnam (GoV), the
German Ministry for Economic Development
and Cooperation (BMZ) and the Australian
Department for Foreign Affairs and Trade
(DFAT), embedded in the Integrated Coastal
Management Programme (ICMP), implemented
by the German International Cooperation (GIZ)
with focus on the Mekong Delta. This most
southern Vietnamese region is featured by its
high vulnerability regarding the effects of
climate change, characterized by extreme
weather events, coastal erosion, saltwater
intrusion, floods and droughts. With a
population of 17 million, it is Vietnam’s most
important agricultural region, producing rice
not only for the country itself, but large parts of
Asia.
Based on the OECD-DAC Rio marker, a UNDP
driven Climate Public Expenditure and
Investment Review (CPEIR) method to classify
climate responsive investments has been
applied. The results of the 3 year cooperation in
this field have shown that the 4 examined
coastal provinces spend amounts between
approximately US$ 20-30 million per year for
climate responsive investments. Based on the
use of the CPEIR typology, the bulk share of
climate responsive classified investments
reaches high degrees of relevance in which up to
100% of the overall amounts of single
investments are accounted for adaptation. The
investments predominantly reflect the
province’s vulnerability to sea level rise, floods,
erosion and saline intrusion. Response
investments are hence mostly planned for
dykes, dyke protection or the prevention of
saltwater intrusion. In this regard, it is
remarkable that in all provinces, mostly funds
from either national allocations or ODA and
state bonds are being used. Hence, it is a
hypothesis, that equally high real climate change
expenses in the 4 provinces are also rooted in
similar response strategies and actions at
national level.
Results are so far based on investment plans
only and apply a retrospective view. To ensure a
strengthened orientation towards the fulfilment
of the Paris Agreement, the introduction of a
newly aligned process to incorporate
classification methods during the annual
planning process on the basis of cross-sectorial
cooperation at provincial level will be a key
necessity.
The Integrated Coastal Management Programme (ICMP) is a development programme funded by the governments of Australia, Germany and Viet Nam. Its objective is to support the Vietnamese authorities in preparing the coastal area of the Mekong Delta for a changing environment and to lay the foundations for sustainable growth. The programme works in six interlinked working areas: agriculture, aquaculture, coastal protection, forest, planning and budgeting, and water management.
8
2. FROM PARIS TO THE MEKONG DELTA –
CLIMATE STRATEGY IMPLEMENTATION
AND REPORTING
9
2.1 The Paris Agreement and Enhanced Transparency
Since fall 2015 the majority of nations have
subscribed to a new global regime of climate
governance, based on the COP 21’s Paris
Agreement. Based on the U.N. Framework
Convention for Climate Change,
“[…] the Paris Agreement’s central aim is to
strengthen the global response to the threat of
climate change by keeping a global temperature
rise this century well below 2 degrees Celsius above
pre-industrial levels and to pursue efforts to limit
the temperature increase even further to 1.5
degrees Celsius. Additionally, the agreement aims
to strengthen the ability of countries to deal with
the impacts of climate change. To reach these
ambitious goals, appropriate financial flows, a new
technology framework and an enhanced capacity
building framework will be put in place, thus
supporting action by developing countries and the
most vulnerable countries, in line with their own
national objectives. The Agreement also provides
for enhanced transparency of action and support
through a more robust transparency framework
(UNFCCC, 2016).”
After the ratification of 126 countries, the Paris
Agreement came into effect in December 2016. In
contrast to the Kyoto Protocol, the agreement is
not binding by international law and highlights
its voluntarily basis through the formulation of
Nationally Determined Contributions (NDC).
Article 3 of the Agreement states that NDCs have
to be ambitious and countries have to report to
UNFCCC every 5 years, including a principal
progression of formulated targets for every new
reporting time period. In contrast to the
Agreement itself, the reporting process however,
is mandated in the so-called legally binding
“enhanced transparency framework for action and
support”, outlined in article 13 of the Agreement.
Besides an emissions inventory and the tracking
of progress, the framework also governs to
provide information related to climate change
impacts and adaptation. Regarding climate
finance, mainly developed countries are
accountable to classify their contributions while
developing countries are required to provide
information on needed capacity building as well
as needed and received financial support
(UNFCCC, 2015:17). As a signatory country,
Vietnam’s ambitious goals as formulated in its
NDC will be also subject of the reporting process
and the enhanced transparency framework for
action and support. Hence, the internationally
agreed timeline and its milestones until 2028 will
require Vietnam to align with this global regime,
not only in terms of goal formulation, but also
concerning new approaches towards strategy
formulation and implementation of action as well
as evaluation.
In 2018, a UNFCCC global facilitative dialogue is
supposed to take stock of the collective efforts
made so far. Parallel, common modalities
regarding procedures and guidelines on
Measuring, Reporting and Verification (MRV)
must be elaborated until 2018 and adopted by
2020. Until 2028 stock-taking, including financial
tracking and the formulation of new pledges will
continue. As part of this roadmap, a capacity
building initiative highlights i) to strengthen
national institutions for more transparency,
related to activities in line with national
priorities, ii) provide tools and training to meet
provisions in article 13 of the Paris Agreement, as
well as iii) to assist in the improvement of
transparency over time (UNFCCC, 2015:12).
In summary, as a signatory of the Paris
Agreement, Vietnam will face the need to align
its MRV modalities. So far, related to climate
finance, only article 13 of the Paris Agreement
imposes the duty to report on received funding
for climate change response. Nevertheless, the
requirement to also report on emission
reduction and adaptation efforts foreshadow the
necessity for better tagging and tracking of
domestic climate finance as the fulfilment of
10
ambitious goals mainly rely on public funding.
Taking the Agreement’s timeline until 2028 into
account, the need to principal progression and
the formulation of more ambitious goals over
time also implies that public spending to combat
climate change has to be increased.
2.2 Vietnam’s Response to Climate Change
For the period from 1996 until 2015, Vietnam
was ranked as the 8th most affected country in
the world related to climate change with an
average 0.62% GDP loss and with second
highest number (206) of extreme weather
events worldwide (Germanwatch, 2017:6).
Similarly, according to the Climate Change
Vulnerability Index, Vietnam is currently
considered one of 30 “extreme risk countries” in
the world (CCVI, 2016). The debate about
climate change, its consequences and
vulnerabilities for Vietnam has also influenced
the country’s policy formulation hence multiple
strategies, policies and actions plans addressing
the challenges of climate change have been
prepared by the Government of Vietnam in
recent years. The most prominent ones are the
National Climate Change Strategy (NCCS), the
Action Plan to Respond to Climate Change and
Sea Level Rise, both from 2011, and the
National/ Vietnam Green Growth Strategy
(VGGS) from 2012. Further laws on natural
Disaster Prevention or Environmental
Protection are in line with the overarching
national strategies (NCCS or VGGS) and offer
further national funding opportunities for
implementation. In most cases, especially with
regards to adaptation and more recently related
to mitigation, the above mentioned Action Plan
to Respond to Climate Change and the VGGS
have also been disseminated to the provincial
level. The 63 provinces in Vietnam function as
the second administrative tier with far reaching
responsibilities and execute about 70% of the
country’s total public budget (MPI, 2015:36). A
translation and applicability of national policies
at local level has thus gained high priority.
This stock of vastly existing approaches on all
levels in Vietnam has also paved the way to
advance Vietnam’s aspiration for a successful
contribution to the COP 21 in Paris. And indeed,
in line with the 2015 Paris Agreement, Vietnam
formulated the Intended Nationally Determined
Contributions (INDC). After the agreement’s
ratification in 2016, the INDC dropped the first
letter and are now the Nationally Determined
Contributions (NDCs). Probably the most
important outlook for Vietnam’s actions for the
future, the NDC and its annex, the “Plan for
Implementation of the Paris Agreement” (2016)
contains an annex with a list of compulsory,
priority and encouraged tasks to be
implemented until 2020 and 2030. The task
matrix has a total number of 68 tasks, split into
five main areas, as listed in table 1 below.
Tasks to implement the Paris Agreement
1. Mitigation of greenhouse gas emission 10 tasks until 2020; 6 tasks until 2030 (#1-16)
2. Adaptation to climate change 9 tasks until 2020; 13 tasks until 2030 (#17-38)
3. Preparation of resources 13 tasks (#39-51)
4. Establishment of transparency system (MRV) 8 tasks (#52-59)
5. Development and revision of policies and institutions 9 tasks (#60-68)
(Author’s own table. Adapted from Vietnam’s NDC annex “Plan for the Implementation of the Paris Agreement”)
Table 1: Task to implement the Paris Agreement (NDC, 2016)
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VIETNAMESE STRATEGY NDC TASKS
National Climate Change Strategy (NCCS)
#26 meteorological data modernization; #27 guidelines for public infrastructure; #28 SEDP climate change planning #29 prevention of natural disasters (floods, etc.) #38 complete coastal dykes, control of salinity intrusion #40 climate change curricula development #65 integrate cc into policies and plans of ministries and provinces
Action Plan to Respond to Climate Change
#30 integrated water management #31 sustainable forest development/ coastal forest #32 sustainable maintenance of agriculture #33 develop livelihoods suitable for cc conditions #34 enhance insurance for climate risk #35 ecosystems based adaptation #36 …integrated coastal management #37 resilient infrastructure, water supply, prevent flooding #66 revision of admin functions
Law on Natural Disaster Prevention
#19 risk and vulnerability assessment
MRV for mitigation of GHG emissions
#52- 57 establish MRV for relevant sectors until 2018
National Target Programme to Respond to Climate Change (NTP-RCC)
#21 implementation of the NTP to Respond to Climate Change 2020 (US$ 0.71 billion)
Sector Programme to Respond to Climate Change (SP-RCC)
#64 up-date policy matrix for the SP-RCC until 2020
PM Decision 593 on regional steering
#67 enhance coordination in handling regional response to climate change
(Author’s own table. Adapted from Vietnam’s NDC annex “Plan for the Implementation of the Paris
Agreement”)
The first 16 tasks mainly focus on road mapping
and the development of modalities to ensure the
formulation of future stages towards GHG
emission reductions, first until 2020, but also in a
medium-term perspective until 2030 and beyond.
Although connections to the VGGS seem obvious,
the first area does not highlight any direct
connections yet. The other four NDC task areas
however, show clear linkages to 8 different
Vietnamese strategies, action plans, laws and
Prime Minister decisions as listed in the table 2
below.
Table 2: Connection between Vietnam’s already existing climate change approaches and NDC tasks
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29 out of a total of 68 NDC tasks are linked with
already existing legal approaches at both
national, ministerial level and also provincial
level in Vietnam. The connectivity between the
Paris Agreement and Vietnam’s NDC does not
only highlight the country’s commitment for a
global contribution, it also emphasizes the
relevance of already existing national
approaches for climate change response. Even
provincial Action Plans to Respond to Climate
Change and Provincial Green Growth Action
Plans as well as all related NTP funds disbursed
at provincial level appear in relation to the
global agreement. The connectivity also lays the
groundwork for the need to monitor and
evaluate the implementation and last but not
least also track associated funding at all levels
and from different sources. Thus, NDC task #60
“Develop budget reports for responding to
climate change, green growth to serve periodical
evaluation of global efforts 2018, 2023, 2028”
needs to be highlighted. Although there is not
yet any decision or policy formulated, MPI in
conjunction with MoF will lead the
implementation of the task. This survey, with
the objective to track and classify climate
responsive investment at provincial level, is
therefore to be seen as a first contribution to the
establishment of a transparency system.
The following chapter will further stress the
methods and practices towards budget tracking
and classification of climate changes expenses.
13
3. METHODS TO CLASSIFY CLIMATE RESPONSIVE INVESTMENTS
14
Since the Rio Convention in the 1990s,
government strategies worldwide have been
developed to consider climate change and assign
public expenditures accordingly, whether for aid
to developing countries, to create incentives or
laws to reduce greenhouse gas emissions or
later to reduce climate related domestic
vulnerabilities of e.g. public infrastructure.
Although the environmental ministries have
taken over a lead function domestically but also
during international climate negotiations, and
especially in elaborating strategic medium and
long term approaches, the lion share of public
expenditures is mostly within the responsibility
of other sectors and government agencies. In
fact, climate change is usually a cross-cutting
issue and touches the private as much as the
public spheres. Regarding climate change,
environmental ministries are of course the main
regulators and responsible for the creation of
new legislation, which certainly affects e.g.
private households and small and large
businesses. Greenhouse gas reductions by
private emitters can also be put in a direct line
to environmental policies and laws. Thus one
question is how difficult it is to install an MRV
system, which also tracks fund flows for
response implementation? As mitigation and
adaptation reflect the public domains of energy,
traffic and transportation, construction,
agriculture, forestry and coastal protection, a
multitude of government agencies, usually at
national and sub-national level are involved and
therefore responsible for expenditures. And
there is not one single budget line, just to cover
climate change mitigation and adaptation. In
addition, many countries with stronger
subnational government levels also possess the
fiscal autonomy to decide upon the use of public
resources. As already mentioned in chapter 2, it
is estimated that up to 70% of all government
expenditures relevant for climate change in
Vietnam, are spent at provincial level.
The effectiveness of international conventions
or agreements such as the 2015 Paris
Agreement depend basically on national
contributions, which are rolled out in a number
of strategies and action plans such as the NDC
but also National Adaptation Plans (NAPs) or
actions for Green Growth and mitigation. Thus,
expenditure tracking becomes not only a
national necessity to monitor domestic efforts
but a global requirement to prove that public
spending fulfills the agreed international goals.
As a cross-cutting issue with the above outlined
multitude of different national agencies and
ministries involved, this is however a difficult
task. And it needs to be mentioned that there
has not yet been an internationally agreed
methodology to assess the exact share of
expenditures which contribute to climate
change mitigation and adaptation. A number of
different types and methods to classify climate
expenditures have been introduced in different
countries and regions. Intended to be in line
with UNFCCC objectives, OECD-DAC, EU, World
Bank and UNDP driven methods will be
summarized in the following sub-chapters.
15
3.1 OECD-DAC Climate Markers
Since 1998, the OECD Development Assistance
Committee (DAC) has monitored aid which
targeted the objectives of the 1992 Rio
Conventions. The objectives are therefore also
known as the “Rio Marker”. In 2009, OECD DAC
approved a new tagging or marker system which
tracks governmental aid to developing countries
in support of both climate change adaptation and
mitigation. Ever since, the overall idea has been
to indicate the relation between donors’ aid
expenditures in relation to their own climate
policy objectives. Since 2014, the OECD Joint
ENVIRONET/WP-STAT Task Team has worked to
improve the Rio Markers in accordance with
available environment and development finance
statistics. Main objectives have been i) the
consistency to use the Rio Marker, ii)
strengthened cooperation between OECD with
Development Banks, including data availability,
iii) the development of coherent options for the
quantification of climate markers, and iv)
strengthening trust to use the OECD method as a
global reference for international MRV and
climate reporting (OECD, 2014).
The OECD scoring system for climate markers in
diagram 1 below explains the application. The
marker system is separated into three main
categories or values: “principal objective (2)”,
“significant objective (1)” and “no target to the
policy objective (0)”.
(OECD, 2011:5)
Q1. What objectives are stated in the project/ programme document? Q2. Do any of the stated objectives match “Criteria for eligibility” of climate markers Yes No Q3. Would the activity have been undertaken without this objective?
No Yes
2 Principal 1 Significant 0 Not targeted
Diagram 1: The OECD scoring system for climate markers
16
While “principal (2)” is scored when UNFCCC
objectives are fully promoted and also
documented, the latter “significant (1)” is reached
if the investment or activity had other primary
goals, but was also formulated to meet climate
change concerns. Each investment must therefore
be assessed concerning its main objective first
and whether the given objectives match the
marker eligibility criteria. Only with positive
answers, the “principal” or “significant” value can
be applied. Aid activities for flood
prevention/control do not necessarily qualify for
the adaptation marker. However, activities which
enhance flood prevention/control in such a way
that it contributes specifically to climate change
adaptation can be marked. Examples include:
- “Restoring the function of floodplains in
combination with sound land-use
planning of watersheds and wetlands
thereby reducing the exposure to floods
and improving water availability in areas
affected by water scarcity and /or
variable rainfall patterns.
- Flood control measures in areas which are
becoming increasingly flood sensitive (e.g.
closing of estuaries, building of dikes and
protections) – wit due consideration for
the potential environmental
impacts of such measures (OECD,
2011:11).”
As mentioned before, it is also here again
important to mention that there is no
internationally agreed methodology yet.
Therefore, assessing the share of expenditures
contributing to climate change mitigation and
adaptation remains subjective and has no
intention for being exact.
Besides OECD-DAC also the European
Commission has adapted the method for
assessing programmed climate change
expenditures with the aim to devote at least 20%
of the EU budget to climate change, a sum of more
than € 200 billion. It has to be underscored
however, that classification efforts in both cases
(OECD and EU Commission) target investment
budgets only. OECD-DAC reflects ODA payments,
mostly in financial and technical programmes
while the EU Commission tracks all investment
funds under the European Structural and
Investment Fund (ESIF). Nevertheless,
throughout the OECD and EU commission use, the
method has been widely spread. Although figures
are not allowing exact quantifications, they give
indications of whether policy objectives are being
followed. Before the survey will examine the
question related to investment and recurrent
budget classification in more detail in sub-
chapter 3.3, sub-chapter 3.2 will shed more light
on the methodological debate in Vietnam and the
use of the CPEIR methodology and typology.
3.2 The CPEIR Typology in Vietnam
The Climate Public Expenditure and Investment
Review (CPEIR) is a reporting approach mainly
initiated through UNDP and respective Finance or
Planning Ministries in Asian countries. Between
2013 and 2016, a growing number of Asian and
Pacific countries have officially published the
reports, which analysed mainly the central
government institutional set-up, its
appropriateness in relation to climate policies
and the results of pilot classifications concerning
climate resilient and mitigation spending. The
Vietnamese CPEIR was approved in 2015 and
covers an analysis of selected sector ministries
such as MoNRE, MoIT, MARD, MoC and MoT as
well as three pilot provinces.
In comparison to other country CPEIRs, Vietnam
also specified a methodological approach to i)
review investments as well as to compile reports,
and ii) to tag and track expenditures, using
different coefficients to weight expenses and to
also categorize along a typology which helps to
better distinguish climate change expenses in line
17
with policies and priorities as it will be shown in
chapter 4.
Similar to the explained OECD scoring system
above, the CPEIR also follows a 3-step system, in
which objectives and outcomes within the
investment portfolios are reviewed, depended on
the relevance, different percentage values for a
weighting apply. In late 2016, the CPEIR method
in terms of weighting and criteria definition has
been adjusted for two reasons. On the one hand,
the use of weighting coefficients was supposed to
be simplified, on the other a much stronger
emphasis on adaptation and Green Growth was
seized to clearly align with Vietnam’s most
prominent climate change strategies. Table 3
below lists and compares both weighting
categories and associated criteria. The dark
columns highlight the former original CPEIR
method, clustered into 5 categories of “complete
relevance (100%)”, “high relevance (75-99%)”,
“medium relevance (50-74%)”, “low relevance
(25-49%)”, and “marginal relevance (1-24)”. The
white columns in between are part of the
adjusted new method called “Climate Change and
Green Growth (CC&GG)”. The differentiation is
less specific with only two main groups. Similar
to the CPEIR, also here Group I classifies
expenses with 100%. Below the 100% level,
Group II rates everything below 100% and
further distinguishes between high (H), medium
(M) and low (L) relevance. H makes up a
coefficient range between 51-99%, M of 50% and
L and range below 50%.
18
CPEIR/ CC&GG
CATEGORY
CLIMATE CHANGE RELATED EXPENDITURE
CRITERIA
CPEIR Complete relevance
100%
Projects which either (i) explicitly state a predominant climate change objective, or (ii) are fully dedicated to exclusively delivering climate change related benefits, or (iii) sit within a governmental programme dedicated to climate change (e.g. NTP-RCC) Projects may satisfy one or more criteria to qualify.
CC&GG Group I 100%
Projects which either (i) state predominant CC or GHG reducing objectives, or (ii) deliver concrete results/ benefits which contribute directly to benefits in A or M to CC, or (iii) sit within a governmental programme dedicated exclusively to climate change, green growth or sustainable development goals (e.g. NTP-RCC/ GG). Projects may satisfy one or more criteria to qualify.
CPEIR High relevance
75-99% Projects which have (i) one or more of the primary objectives to improve climate resilience or mitigation, or (ii) deliver significant and specific results/ outcomes that improve climate resilience or contribute to mitigation. Projects may satisfy one or both criteria to qualify.
CC&GG Group II Les 100% Projects which relate to CC – GG at certain levels (H, M L); the relevance level based on the objectives and contents of the components in project files to identify.
CC&GG Group II.1 H: 51-99% Projects which set (i) at least one goal to enhance the climate resilience or reduce GHG emission, or (ii) deliver significant and specific results to promote climate resilience or mitigation effects. Projects may satisfy one or more criteria to qualify.
CPEIR Medium relevance
50-74%
Projects which either (i) have secondary objectives related to building climate resilience or contributing to mitigation, or (ii) some results/ outcomes of the project are related to building climate resilience or contributing to mitigation, or (iii) mixed programmes with a range of activities that are not easily separated but include at least some that promote climate resilience or mitigation. Projects may satisfy one or more to qualify.
CC&GG Group II.2 M: 50%
Projects which either have (i) secondary objectives related to building climate resilience or have mitigation effects, or (ii) mixed programmes with a range of activities which are not easy to separate but include at least some activities to promote the climate resilience or mitigation effects. Projects may satisfy one or more criteria to qualify.
CC&GG Group II.3 L: Under 50%
Projects which have (i) primary or secondary objective or results/ outcomes which are irrelevant to promoting the ability to adapt or to mitigation CC but include activities which can deliver indirect benefits in the field of A or M, or (ii) activities that are indirectly or theoretically relevant to climate resilience, even benefits from response to CC are not stated explicitly in objectives or results of projects.
CPEIR Low relevance
25-49% Projects that include activities that display attributes where indirect adaptation and mitigation benefits may arise but climate change benefits are not explicitly listed in project objectives or the stated results/ outcomes.
CPEIR Marginal relevance
1-24% Projects that include activities that have indirect and theoretical links to climate resilience, although climate change benefits are not explicitly listed in projects objectives or stated results/ outcomes.
(adapted from the CPEIR methodological guidebook, 2015 and the newly adjusted weighting method 2016)
Table 3: CPEIR and CC&GG classification and weighting criteria
What completes the methodological approach is the linking of the investments not only with classification criteria (in percentage) but also with a typology. Table 4 below displays the CPEIR developed typology, divided into three parts PG (Policy and Governance), ST (Science and Technology) and CCD (Climate Change Delivery).
All three typologies on the left hand side of the table are further divided into a number of sub-typologies with giving examples. The two columns on the right hand side are the associated weightings or coefficients based on the former CPEIR classification and on the far right hand side with the newly adjusted CC&GG coefficients.
19
Typology Sub-typology Provincial investments
CPEIR coefficient CC&GG coefficient
Policy & Governance (PG)
PG 1: National Framework for adaptation and risk reduction
PG 1.1 Develop climate change adaptation guidelines and tech. regulations
e.g. Provincial Action Plan to Respond to CC
PG 1.2 Develop/ adjust policy for CC response
PG 1.3 Manage and monitor implementation
e.g. budget classification
PG 2: Comprehensive national mitigation policy framework
PG 2.1 Establish policy, tax and incentive structure for clean energy, low GHG emissions
e.g. based on P-Green Growth Action Plan
PG 2.2 Develop sectoral plans and coordinate among departments
e.g. Climate sensitive Provincial Gender and Equality Action Plan
PG 2.3 Manage and monitor implementation of mitigation policies
Monitoring of P-Green Growth Action Plans
PG 3: Action Plan Impact Assessment
PG 3.1 Action and Sector Plans
PG 3.2 Climate Change Impact assessments
PG 3.3 Climate Change capacity building
e.g. capacity building workshops
PG 4: Legal framework to implement CC policy
PG 4.1 Mitigation instruments
e.g. development of the Provincial Green Growth Action Plan
PG 4.2 Adaptation instruments
e.g. adjustment of the Action Plan to Respond to CC
Table 4: Merging weighting criteria with investment typology
20
PG 4.3 Mitigation and adaptation instruments
PG 5: International cooperation, strengthening of CC investment effectiveness
PG 5.1 Strengthen cooperation
PG 5.2 Effective management and coordination of foreign and domestic investments
e.g. through investment budget classification
Scientific, Technical and Societal Capacity (ST)
ST 1: Develop S&T as a foundation for policies
ST 1.1 Information and database development
e.g. disaster risk mapping
ST 1.2 Early warning system
ST 1.3 Biologic & genetic resource strengthening
ST 1.4 CC surveys
ST 1.5 Technology for energy efficiency
ST 2: Improve awareness of CC
ST 2.1 CC awareness in education
e.g. curriculum development
ST 2.2 post school education
ST 3: Develop community capacity for responding to CC
ST 3.1 Livelihood building for communities
21
ST 3.2 Capacity across whole community in climate change response
CC Capacity building programmes
1-24%; 25-49% Less than 50%
Climate Change Delivery (CCD)
CCD 1: Natural resources
CCD 1.1 Coastal protection and coastal dykes
Dyke construction 75-99% Less than 100%
Dyke rehabilitation 100% 100%
Wave breaker/ gabions
100% 100%
Mangrove rehabilitation
100% 100%
Sluice gates 75-99% (87%) 51-99%
Coastal resources 50% (unclear) 50%
CCD 1.2 Saline Intrusion
Anti-drought and saline intrusion programmes/ irrigation, sluice gates and alternative rice production
100% 100%
CCD 1.3 Irrigation Irrigation systems 50-74% (67%) 51-99%
CCD 1.4 River dyke embankment
River dyke construction
75-99% (87%) 51-99%
Canal/ river embankment
75-99% (87%) 51-99%
Urban embankments 75-99% (87%) 51-99%
River dredging 25-49% (37%) Less than 50%
CCD 1.5 Water quality and supply
Fresh water reservoir 100% Less than 100%
Fresh/ clean water supply
100% Less than 100%
22
CCD 1.6 Rural development and food security
Rural development and food security programmes
unclear (10%) Less than 50%
CCD 1.7 Forest development
Fire protection 25-49% (37%) Less than 50%
(Protection) Forest rehabilitation
100% Less than 100%
Nursery 75-99% 51-99%
Forest ranger equipment
50-74% (50%) 51-99%
CCD 1.8 Fisheries and aquaculture
Aquaculture irrigation
50-74% (67%) 51-99%
CCD 1.9 Biodiversity& conservation
e.g. Plant varieties projects
50-74% (50%) 51-99%
CCD 2: Resilient Society
CCD 2.1 Public Health Health support projects (CC connection)
1-24% (12%) Less than 50%
CCD 2.2 Education and Social Protection
Education projects (CC connection)
1-24% Less than 50%
CCD 2.3 City area resilience
Schools, admin. buildings, cemeteries (e.g. CC proofing)
1-24% Less than 50%
Construction site levelling (CC proofing)
25-49% (unclear) Less than 50%
Resettlements (CC relevance)
(unclear) 75-99% 51-99%
Climate proof housing support
25-49% Less than 50%
CCD 2.4 Transport Climate proof roads, streets
1-24%; 25-49% Less than 50%
Roads and drainage 25-49% Less than 50%
CCD 2.5 Waste management and treatment
Waste water treatment
25-49% (unclear) Less than 50%
23
(adapted from CPEIR Vietnam, 2015)
In this table, however, only coefficients have
been inserted wherever appropriate examples
could be found in the pilot cases in the Mekong
Delta provinces. From the table it already
becomes obvious that the main typology to be
connected with provincial climate investments
is CCD. On top of that, it is now also possible to
directly link the typology with Vietnam’s NDC.
As table 2 (chapter 2) has shown, 24 of 68 NDC
tasks are directly linked with national strategies,
laws or NTPs.
Both methodological systems clearly indicate
gaps. While the OECD-DAC classification method
has the advantage to appear as rather simple
and easy to apply, the CPEIR and adjusted
CC&GG method claim to be more accurate.
Although the use of coefficients differs, the
criteria of whether expenses are related to
climate change intervention fields are similar.
And yet, both criteria leave room for
interpretation and in some cases require precise
assessments.
The OECD-DAC method is mainly based on a
decision whether an investment is mainly, partly
or not relevant for climate change. The CPEIR/
CC&GG on the other hand has for Vietnam
developed a typology of 3 main categories and
associated sub-categories. Such a typology helps
to identify investment areas assigned to
ministries and public sectors. Of course the
CPEIR/ CC&GG typology suggests a coefficient
percentage or percentage range, indicating the
investment’s relevance for climate change. The
sub-typology “Climate Change Delivery (CCD
1.1)” on “Coastal Protection and Sea Dykes” is
e.g. rated with a 100% coefficient. It has to be
noted that many OECD or EU countries would
rather rate the up-grading or heightening (e.g.
30 cm according to sea level rise) costs to be
accounted for 100% relevant.
Solid waste treatment
1-24% Less than 50%
CCD 2.6 Disaster specific infrastructure
e.g. Storm shelter 100% Less than 100%
CCD 2.7 Strengthening disaster risk reduction
Disaster risk reduction programmes
75-99% 51-99%
CCD 3: Enterprise and production
CCD 3.1 Energy generation
CCD 3.2 Energy efficiency
CCD 3.3 Infrastructure and construction
CCD 3.4 Industry and trade
CCD 3.5 Tourism Tourism investment projects (CC relevant)
unclear Less than 50%
24
According to the CPEIR/ CC&GG this distinction
does not exist, as long as
“Projects which either (i) state predominant CC or
GHG reducing objectives, or (ii) deliver concrete
results/ benefits which contribute directly to
benefits in A or M to CC, or (iii) sit within a
governmental program dedicated exclusively to
climate change, green growth or sustainable
development goals (e.g. NTP-RCC/ GG) (MPI,
2015:55).”
In fact, most dykes in the Mekong Delta cannot
be compared with those to be found in the
Netherlands or Germany. Many coastal transects
either never had dykes or were not designed to
withstand for a longer duration and especially
not regarding the effects of climate change. In
addition to the vast inland waterways, irrigation
and population growth over the last century, all
coastal protection in the Mekong Delta can be
seen as “works of Penelope”, projects without
end (Biggs, 2012: 82). The entire CCD 1.1 thus
justifies a 100% coefficient as the majority of
interventions and investments are based on a
total continuous make over.
Another conclusion is that a less distinct
differentiation of coefficients offers greater risks
to blur or even manipulate and green wash
results. On the other hand, broader range
coefficients probably allow less special expertise
which makes the entire approach more
applicable (especially at local or provincial
level) and therefore also much faster, e.g. during
an annual budgeting process and not by
hindsight only.
3.3 Which Budget? Plan vs. Disclosure and Investment vs. Recurrent
Budgets should and can function as an indicator
of whether intended policies and strategies are
being followed and implemented. As in most
countries, Vietnamese budgets are separated into
both budget plans and budget disclosures, as well
as recurrent and capital or investment budgets.
The former are the results of the annual budget
planning process at national but also at local
level, namely province, district and commune.
These budget plans are usually approved within
the political process at the end or at the
beginning of the fiscal year, followed by its
execution between January and December of the
current fiscal year. The annual statement of
accounts is done by the Treasury Departments at
national and provincial level. The final product of
these account statements are the budget
disclosures which are, in most cases in Vietnam,
only available 2 years after the end of the actual
fiscal year period. A timely evaluation of the
execution of the planned budget and whether e.g.
provincial climate strategies were implemented
is thus difficult (PEFA, 2013).
The other important separation of budgets in
Vietnam goes along capital or investment and
recurrent budgets. The former is within the
responsibility of the Ministry of Planning and
Investment (MPI) and its provincial Departments
of Planning and Investment (DPI). Whereas in
most countries worldwide only the Ministry of
Finance (MoF) is in charge of the entire budget, in
Vietnam the MoF and its provincial Departments
of Finance (DoF) subscribe to the responsibility
for the recurrent budget, including all wages and
salaries as well as operations and running costs.
The average share of the investment budget is
currently at an average of 18% nation-wide, with
less wealthy provinces to even undercut 18%
(MPI, 2015:18).
Although it is the aim to analyze the provincial
investment budget plans in an ex-post manner, it
should be a long-term goal to also provide
appropriate recommendations which help to
better refine the actual budget planning process
in terms of its aimed climate responsive actions.
To accomplish that additional goal as also
25
described in the CPEIR, data analysis of budget
disclosures seems to be a necessary requirement.
As recurrent budgets account for an average of
80% of the overall expenditures, it seems to go
without saying that recurrent budgets can make
up a great difference in assessing the overall
climate expenditures.
However the typologies introduced in chapter 3.2
are more difficult to align with e.g. salaries and
other recurrent costs. The debate on climate
finance (with the exception of taxation) has been
Chapter 3 has so far introduced the different
classification methods, either used
internationally or in Vietnam. This sub-chapter
3.4 briefly introduces how the above explained
Map 1: Five Mekong Delta provinces
mainly steered by MPI. Hence, this survey
concentrates on the investment budget only,
captures an ex-post consideration of previous
budget plans and will forecast recommendations
to adjust the planning process for an ex-ante
climate change investment planning. It will be a
future challenge to create recurrent classification
techniques and to encourage more MoF
involvement on the other hand.
methods were introduced in the Mekong Delta
provinces of Ca Mau, Bac Lieu, Kien Giang, Soc
Trang and An Giang (as shown on the map
below).
(Source: GIZ, 2014)
3.4 Approaches to Classification and Cooperation in the Mekong Delta
26
The most southern province in the Mekong
Delta, Ca Mau, has been the first local entity in
Vietnam to be introduced to the OECD-DAC
marker classification. The method was first
applied during two training courses and another
international short-term mission in 2013 (GIZ,
2013). Back then only official budget
documents, published online by the Ministry of
Finance, were used and analyzed. However, only
a very limited number of investment examples
were shown. As the bulk share of investments
remained hidden, only a fraction of investments
could be tagged according to the OECD method.
The idea of assessing a ratio of planned climate
change investments compared with the overall
investments thus remained approximate at best.
In the aftermath of a UNDP conference in
Bangkok in 2014, where DPI Ca Mau and DPI An
Giang were also introduced to the CPEIR
method, further approaches to undertake more
refined pilot classifications of the provincial
investment budget were started. Ca Mau was
then the first province to provide the entire
investment budget plans for the years 2011
until 2015. The creation of a “task force” inside
DPI was steered by DPI’s Deputy Director. Along
the seven investment budget sources, i)
Provincial Level Budget, ii) National Budget
Allocations, iii) ODA funding, iv) State Bonds, v)
Lottery, vi) State Credits and Loans, and vii)
Other Budget Sources, the task force team
supported mainly by the planning division
inside DPI assessed each investment in
accordance with OECD-DAC marker criteria.
The DPI task force investigated all detailed
investment proposals, which were approved for
funding at the end of each budget year. Those
proposals are annually elaborated by all
provincial sector departments which seek for
rolling and multi-year investments. As the
documentation of the proposals lack pre-
determined classification regarding climate
change, the DPI experts also engaged in further
interviews with responsible officers from the
sector departments to better conclude whether
investments showed any relevance regarding
climate change as suggested in either OECD’s or
the CPEIR’s 3 step approach. As already
mentioned above, the strength of the OECD-DAC
marker method is its simplicity. Nevertheless,
DPI Ca Mau chose to further differentiate the
OECD weighting. At a later stage, the GIZ ICMP
team also synthesized the approach with the
CPEIR typology and applied both CPEIR and the
later the “CC+GG” coefficient. In 2016, Bac Lieu,
Soc Trang, Kien Giang and An Giang all followed
and were analyzed.
27
4. EX-POST CLASSIFICATION OF INVESTMENT BUDGET PLANS IN THE MEKONG DELTA
28
This chapter will first present the results from
the analysis of 4 provincial investment budget
plans for the three consecutive years from 2013
until 2015. All GIZ supported provinces were
subject to a thorough analysis using both the
CPEIR method and newly adjusted Climate
Change & Green Growth (CC&GG) weighting
method, which only differ in the use of the
coefficient, providing figures as a minimum –
maximum range.
In a first step, the figures are presented in its
highest aggregation, comparing the total
investment plan budget and its planned
expenditures for climate change (including the
percentage ratio) among all 4 provinces, for the
duration from 2013 until 2015. In a second step,
a more disaggregated analysis is being
presented. Indications are given for each
province, based on all three consecutive years,
including the interpretation of funding origins
and trends towards climate change spending.
4.1 Results from 4 Mekong Delta Provinces
Table 5 below shows the highest aggregated
results regarding the share of climate change
investments as part of the overall annual
provincial budget plan. Although 5 GIZ
supported provinces were assessed, An Giang
province does not show any complete results so
far. During the analysis it became clear that at
least the two budget sources “central
government allocations” and “state bonds” and
the respective use of the financial means were
not stated. An analysis of the ratio of climate
change adaptation and mitigation relevant
expenditures could thus not be undertaken for
the province. Future assessments for 2016
onwards, however, seem likely to conclude full
results for An Giang.
The remaining four provinces Ca Mau, Bac Lieu,
Kien Giang and Soc Trang on the other hand
provided the full investment budget plans for
the three years from 2013 until 2015. Table 5
below indicates average percentages for both,
each province for the 3 year time span on the
one hand and on the other an average
percentage for all 4 provinces within each given
year. The latter shows an increase of annual
average spending for climate change. The share
increases from 13.87% in 2013, to 17.46 % in
2014 to finally 19.42% in 2015. It has to be
noted that such kind of aggregation is rather
arbitrary as the choice of provinces only reflects
the 4 most southern provinces in the Mekong
Delta which have been supported by GIZ. As
there are 13 provinces in the Mekong Delta
which all differ in size, population but also in
terms of socio-economic and geographical
terms, the results cannot provide a general
trend for all Mekong Delta provinces or the
region as such. This difference between
provinces even becomes obvious through the
overall size of the investment budget figures
below.
29
With a population of 1.7 million and GDP of more than US$ 4 billion, Kien Giang province also bases their expenditures on a far more stable tax income power. Compared to the other 3 provinces with smaller populations and GDPs , Kien Giang thus executes investments which are almost double the amount of Ca Mau, Bac Lieu and Soc Trang. Following the investment patterns of the 4 provinces over the 3 years, however, real climate change investments all increase over the years and do not differ significantly. In fact, in 2015 all provinces planned to spend between almost US$ 20 and US$ 30 million for investments relevant for climate change, regardless of their size, socio-economic powers or overall available investment budget. It has to be pointed out that planned investment figures for the year 2015 e.g. are more important to consider than the sheer comparison of the provincial percentage figures, which obviously differ more significantly from province to province,
dependent on the different total investment budget values. The question which becomes more prominent is thus, why did Bac Lieu and Soc Trang plan to spend US$18 and US$19 million and Ca Mau and Kien Giang US$ 31 and US$ 27 million respectively? This question will be further investigated in a province by province approach, i) reflecting the geographical similarities and hence overlapping patterns of climate change vulnerabilities, ii) a continuous disaggregation of the provincial investment budgets, identifying the nature of climate change investments in each province, as well as decision making powers and investment incentives in relation to budget origins and whether investments are based on an own provincial tax bases or transfers and allocations from central government.
Table 5: Mekong Delta Climate Change Budget Classification 2013-2015
Mekong Delta Change Budget Classification 2013-2015
$1 = VND 22.500 3 year
in USD 2013 CPEIR 2014 CPEIR 2015 CPEIR provincial
Total Climate Change
% Total Climate Change
% Total Climate Change
% average %
An Giang na na na na na na
Bac Lieu $116.076.268 $ 18.636.556 16,06 $ 99.603.002 $ 19.603.002 19,78 $ 95.531.260 $ 20.072.613 21,01 18,77
Ca Mau $ 86.967.617 $ 24.924.985 28,66 $114.044.844 $ 25.174.695 22,07 $129.809.867 $ 31.822.101 24,51 24,76
Kien Giang $192.245.289 $ 7.442.232 3,87 $201.803.889 $ 15.465.619 7,66 $222.688.142 $ 27.235.874 12,23 8,13
Soc Trang $ 26.403.378 $ 7.479.624 28,33 $ 51.241.333 $ 21.160.280 41,30 $ 55.399.378 $ 18.650.862 33,67 35,55
annual annual annual
average average average
Total $421.692.552 $ 58.483.397 13,87 $466.236.444 $ 81.403.596 17,46 $503.428.646 $ 97.781.451 19,42
% % %
(Author’s calculation, based on provincial budget assessments)
1 Ca Mau – population: 1,218,821; GDP: VND 42,976 billion (US$ 1.9 billion), Bac Lieu – population: 889,109; GDP: VND
27,699 billion (US$ 1.2 billion), Soc Trang – population : 1,310,703; GDP: VND 39,998,778 million (US$ 1.77 billion)
30
GIZ – Integrated Coastal Management Programme (ICMP) Box: Survey results in accordance with ICMP’s objective and
indicator
The Integrated Coastal Management Programme (ICMP) based on the cooperation between Vietnam, Germany and Australia and
implemented through the Ministry of Agriculture and Rural Development (MARD) and GIZ, formulated an overall programme
objective for the duration of the 2nd phase from 2014 until 2018. “The government authorities at national and provincial levels
MARD and Provincial People’s Committees (PPCs) utilize their strengthened political, planning and financial capacities to foster
climate-resilient development of the Mekong Delta. "This survey provides the baseline results for the reporting towards the
programme’s indicator 2, which reads as follows: “The funds aiming at climate change adaptation allocated in the annual
budget plans of 5 provinces in the timeframe 2015-2017 amount on average to at least 20% of the respective overall
investment budgets.”
The first and most obvious question that seems striking is why 20%? Without an adequate baseline which could somewhat
indicate a trend for Vietnam and its provinces, the percentage is the random outcome of discussions between Development
Partners and the GoV during the stage of programme conceptualization for ICMP’s phase 2. And yet the discussion on ratios or
overall needed investments seem valid. The European Commission (EC) e.g. has set a target to spend 20% of all its structural
investment funds, to be allocated to European Union member countries, to tackle climate change, either adaptation or mitigation.
So far, however, there has not been any evaluation report to whether the EC’s target has been fulfilled. In its Nationally
Determined Contributions (NDC), the GoV has outlined overall estimations of needed financial resources for adaptation and
mitigation until the year 2030. This contribution to fulfill the Paris Agreement presents Vietnam’s financial capacities and also
highlights estimated funding gaps. 20% as a share for climate change response investments has however not been set as a goal,
neither for central government nor provincial funding. In fact, apart from the national CPEIR survey, based on central
government funding, a baseline for provinces has not had existed before the start of ICMP’s second phase in 2014.
The analysis covers all 5 provinces, with 4 providing accurate figures with results so far. The years 2016 and 17 have not been
covered yet. For the year 2015, the provinces Bac Lieu, Ca Mau and Soc Trang already fulfill the indicator, as their climate change
investment ratio is above 20%. Including Kien Giang province, which possess the largest total investment budget, the average
figure for the four assessed provinces drops to 19.42 %. Since 2013, the average planned investments have been increased by 5.5
percentage points or by almost USD 40 million for the four provinces over three years. Although, it cannot be automatically
concluded that this trend will be continued in a medium-term time span, a rise in ODA grants and loans for climate change
purposes such as coastal protection, mangrove rehabilitation, resilient housing and irrigation by the World Bank, France, Korea,
Japan, Germany and GCF funding will likely lead to higher rates until the year 2020. Further developments after 2020 are
however unclear as new Vietnamese loan regulations for provinces apply. Higher obstacles in terms of credit-worthiness might
limit the provinces access for investment funding.
Lessons and recommendations for future indicators: Setting a percentage target, as done by the European Commission (EC) has
to be seen as a political commitment. Many Development Partners also follow the SMART criteria for indicator formulation,
which stands for s=specific, m=measurable, a=achievable, r=relevant, t=time bound (Poister, Theodore H. (2008). Besides a
potential political commitment, the 20% indicator also fulfills all smart criteria. What remains questionable however is the “r”
for relevance. A 20% spending ratio for climate change investments does not indicate whether needs to adequately respond to
climate change are taken into account. In addition, a 20% share of investments also does not disclose cost effectiveness or
whether quality standards have been applied. Even over spending, green washing or waste e.g. for large adaptation
infrastructure investments would add and increase the potential share of climate resilient investments. It is thus rather
suggested to focus more on an orientation towards the question whether NDC tasks are reflected in provincial investment plans
and therefore a financial contribution to the implementation becomes visible.
31
The southern Mekong Delta and its vulnerability
to climate change
As mentioned before, Vietnam is among the 30
countries in the world most affected by climate
change. The Vietnamese Mekong Delta yet, is
one of the most vulnerable regions in Vietnam
and among the most vulnerable river deltas in
world with distinct differences compared to the
rest of the country. As a river delta, the region is
low lying and alluvial. It has ever since offered
great potentials for agricultural production,
such as 2 and even 3 rice crops and by now
feeding more than 245 million people in Asia
and worldwide annually. But the delta has also
always been exposed to many threats (GIZ,
2017). Historical accounts reported on land
subsidence, annual flooding and saline water
intrusion, dating back to even precolonial times,
even when first settlers arrived in the region
(Biggs, 2010:128). Intensive land use from
continuous extension of the Delta’s canal system
during French colonial times to an over
utilization of the soil and groundwater
resources until today’s construction of upstream
river dams and hydropower stations are the
human interventions and contributions to not
only increase the value of the land but also make
it more vulnerable. Climate change has not only
amplified the difficult livelihood situations of
the people, it has added to constant sea level
rise and more extreme weather events such as
storms, further floods and droughts.
Although the above mentioned geographical
features apply to the entire Mekong Delta and
thus underscore the homogeneity of the region,
various distinct sub regions are more prone to
more climate change impacts than others. While
the Mekong Delta’s upper river region (e.g. An
Giang and Dong Thap province) more often
suffers from river floods, especially during the
rainy season, the estuary region along the east
sea coast (e.g. Ben Tre, Tra Vinh and Soc Trang
province) as well as the most southern
peninsula (Ca Mau, Bac Lieu and Kien Giang) is
are more often affected by saltwater intrusion in
connection with droughts, storm surge and
coastal erosion. Governmental response thus
also differs between the sub-regions. As this
survey highlights the investment plans of four
coastal provinces, either along the east coast or
at the southern peninsula, conclusions do not
apply for the entire Mekong Delta region.
Nevertheless, the survey offers a high degree of
comparability as geographical features of the
four provinces and vulnerabilities to climate
change are very similar. Hence, it is a
hypothesis, that equally high real climate change
expenses in the four provinces are also rooted in
similar response strategies and actions. This will
be further investigated through an analysis of
individual provincial disaggregated budget lines
and an identification of whether these show
similar investment patterns.
Decision making power is inevitably connected
to financial responsibilities. Table 5 above
shows the overall investment budget for each
individual province and the share of planned
investments which are programmed for climate
change response. As the total 63 Vietnamese
provinces possess extensive fiscal autonomy,
decision-making powers are mainly with the
Provincial People’s Committees (PPCs).
Although the common feature of a communist
one party system is a high centralization of
power, Vietnam has been undergoing a number
of administrative reforms which led to higher
degrees of provincial autonomy and fiscal
decentralization. But besides more decision-
making powers for provinces, vertical financial
resource allocations from central to provincial
government level have been a vital bargaining
chip to further exercise central government
influence at subnational level. Vietnam is of
course not in unique position here, as
governments around the world, especially in
highly decentralized and federal countries use
financial allocations, e.g. as earmarked transfers
32
to gain or maintain influence. As in other
countries one part of these allocations is
supposed to fulfill balancing effects in which
provinces with a smaller tax basis and less
income are being supported. The other reason
for allocations, especially for earmarked
allocations are related to the implementation of
national policies at subnational level. Especially
National Target Programmes (NTPs) have
played a vital role to boost policy
implementation at provincial level. As
mentioned in chapter 2, Vietnam has a set of
policies developed to respond to climate change,
either through adaptation or green growth and
mitigation. The ratification of the Paris
Agreement in fall 2016 adds additional pressure
to successful climate change policy
implementation nationwide. In the following
sub-chapters all provinces will be thus analyzed
regarding the question of budget origin and
which financial sources have contributed most
to climate change related investments at
provincial level.
4.2 Ca Mau province
Table 6 shows Ca Mau’s 2015 investment plan
and is further divided into three climate change
expenditure related columns, based on three
different weighting or coefficient types. As
already described in chapter 3, all three types
are based on the same CPEIR method of
classification to categorize climate change
relevant expenditures. The new CC&GG
coefficient also uses only percentage ranges
with minimum and maximum amounts relevant
for climate change. The figures are thus
different, however follow the same pattern. The
CC&GG coefficient on the right hand side
estimates a valid range between US$ 22.6 and
almost US$ 44.8 million for climate change
related investments. DPI’s own calculations
based on slightly higher coefficients accounts for
almost US$ 35 million, while the CPEIR
coefficient accounts for almost US$ 32 million.
Both are almost exactly placed in between the
minimum and maximum values of the CC&GG
coefficient. As the pattern between the three
coefficients does not lead to any deviations, also
calculations for single budget sources and their
allocations for climate change are congruent.
For all three coefficient types, National budget
transfers include by far the highest
contributions for climate change. The National
allocations make up for almost 50% of all
climate change investments in Ca Mau, followed
by State Bond transfers with around 20% and
means from ODA with a little more than 10%.
The own provincial income base mainly
determined through Provincial taxes and
Lottery only account for around 10% with
relevance for climate change. A further
disaggregation seems necessary as to identify
single budget line items to understand the
nature of climate change investments, to
compare these among provinces and to finally
engage in tracking between actual climate
change response implementation and earlier
policy formulation.
33
Table 7 displays Ca Mau’s top line item climate
change investments only. The aim is to highlight
examples of the largest single investments
related to climate change in 2015, clustered
according to the origin of funding sources. The
results from table 6 indicated a share of 24.51%
in line with the CPEIR coefficient formula which
accounts for almost US$32 million. The largest
climate change response investments are the
“Upgrading of the west sea dike” with an annual
planned investment of more than US$ 5.3
million, followed by national park support with
US$ 2 million and irrigation, coastal resource
projects, coastal erosion prevention, fresh water
reservoir and urban climate proofing with a
share of US$ 1 million or less.
Ca Mau 2015
$1=VND 22,500
DPI coefficient CPEIR coefficient
CC&GG coefficient range
Source Total Allocated for CC Allocated CC Allocated range for CC Provincial National ODA State Bond Lottery State Credit Other Sources
$ 16.757.422 $ 23.724.444 $ 20.796.444 $ 28.225.956 $ 24.130.178 $ 7.333.333 $ 8.842.089
$ 129.809.867
%
$ 2.606.569 $ 16.831.111 $ 4.755.556 $ 7.239.529 $ 472.498 $ 1.975.111 $ 1.043.129
$ 34.923.502
26,90
$ 2.438.120 $ 15.628.711 $ 3.464.444 $ 6.937.984 $ 850.551 $ 1.532.000 $ 970.291
$ 31.822.101
24,51
min
$ 1.110.014 $ 14.414.741 $ 2.173.333 $ 4.332.748 $ 42.555 $ 639.289 $ 112.369
$ 22.610.309
17,42
max
$ 4.414.741 $ 16.869.333 $ 5.160.000 $ 11.481.207 $ 2.085.200 $ 2.525.156 $ 2.347.676
$ 44.883.313
34,58
Table 6: Ca Mau’s climate change responsive investments 2015 according to source
34
The pie diagram below summarizes the climate
change response investments with a value of
US$ 24.51 million in 2015. Investment
categories are in line with the 3 main CPEIR
classification categories Policy and Governance
(PG), Climate Change Delivery (CCD) and
Science and Technology (ST).
With more than 250 km coastline, Ca Mau
province has one of the longest shoreline in the
country. Exposure to sea level rise, coastal
`
erosion, floods and saltwater intrusion clearly
indicate a concentration of public spending for
coastal protection and dykes with 35% and
irrigation systems with 26%, totaling to almost
two thirds of the annual investment pie. In
greater distance, these investment types are
followed by forest development with 14%,
urban resilience with 7%, transportation 6%
and disaster infrastructure with 4%.
Table 7: Ca Mau’s TOP line item climate responsive investments 2015
TOP line items
Ca Mau 2015 VND×1mil USD CPEIR
% VND×1mil USD responsible nat.policy
Provincial Budget
Several projects of urban infrastructure development in Cà Mau City (in which the amount of VND 1 million allocated for construction of Tắc Thủ river bridge, ring-road No.1)
40.543 $ 1.801.911 20% 8.109 $ 360.400 DoC
National Allocations
U Minh Hạ National Park 45.000 $ 2.000.000 100% 45.000 $ 2.000.000 DARD
Upgrading of West side sea dike in Cà Mau province
42.000 $ 1.866.667 100% 42.000 $ 1.866.667 DARD NTP 667
Upgrading of West side sea dike in Cà Mau province
120.000 $ 5.333.333 100% 120.000 $ 5.333.333 DARD SP-RCC
Project of protection, rehabilitation and development of mangrove forest, phase of 2015-2020
30.000 $ 1.333.333 100% 30.000 $ 1.333.333 DARD SP-RCC
Project of anti-erosion, setting sedimentation and mangrove forestation to protect sea dike in Trần Văn Thời district
12.000 $ 533.333 100% 12.000 $ 533.333 DARD SP-RCC
Project of anti-erosion, setting sedimentation and mangrove forestation to protect shoreline in Đất Mũi commune
16.000 $ 711.111 100% 16.000 $ 711.111 DARD SP-RCC
Project for construction of fresh water reservoir on Hòn Khoai island, in Cà Mau province
13.500 $ 600.000 100% 13.500 $ 600.000 DARD
ODA
Coastal resrources for sustainable development (CRSD)
60.000 $ 2.666.667 50% 30.000 $ 1.333.333 DARD
Irrigation system for sub area X-South of Cà Mau, a project on Irrigation Management for rural development in MKD
35.000 $ 1.555.556 67% 23.450 $ 1.042.222 DARD
State Bond
Irrigation system for subregion III – Northern Cà mau
61.821 $ 2.747.600 67% 41.420 $ 1.840.892 DARD
Irrigation Sub region XVII-Southern Cà Mau 50.000 $ 2.222.222 67% 33.500 $ 1.488.889 DARD
State Credit
Investment project to construct T25 sluicegate 7.000 $ 311.111 87% 6.090 $ 270.667 DARD
35
It has to be noted that the CPEIR method so far
has not distinguished between adaptation and
mitigation or green growth. Nevertheless, from
Ca Mau’s analysis it can be also concluded that
the bulk share of investments followed
adaptation purposes, with mainly forest
development so far, offering at least combined
effects of mitigation and adaptation.
Another important question if not concern that
needs to be addressed is the accuracy of the
classification. The above chapter on the
classification methods and use of coefficients
has already highlighted the debate which comes
along all assessments. One conclusion is that a
less distinct differentiation of coefficients offers
greater risks to blur or even manipulate or
green wash results. On the other hand, broader
range coefficients probably allow less special
expertise which makes the entire approach
more applicable (especially at local or provincial
level) and therefore also much faster for the
assessment process.
Taking this potential dilemma between accuracy
and applicability into account, the provincial
analysis offers a perspective which proves that
accuracy is not at risk. Matching the above
displayed TOP item investment list with the
diagram of summarized climate change
investment categories shows that the majority
of investments are without doubt 100%
creditable for climate change response. In table
7, the center column displays the assigned
CPEIR percentage, indicating the share of the
overall investment amount to be relevant for
climate change. The list shows that more than
half of the TOP line items account for 100%
CCD1.1: Coastal protection and dykes
35%
CCD1.3: Irrigation systems
26%
CCD1.4: River embankments
1%
CCD1.5: Water quality 2% CCD1.6: Rural
development 2%
CCD1.7: Forest development
14%
CCD 2.1: Public Health 1%
CCD 2.3: Urban resilience
7%
CCD 2.4: Transportation
6% CCD 2.6: Disaster
Infrastructure 4%
other <1%
ST 3.2: Capacity 1%
Diagram 2: Ca Mau’s climate responsive investments according to CPEIR typology
36
based on the CPEIR. The other half of the biggest
investments with relevance for climate change
account for more than 50% relevance, with only
one investment rated with 20%. Comparing
these main line item investments, accounting for
climate change with the pie diagram, it becomes
obvious that most of the 100% climate change
investments are summarized as coastal
protection and dykes (CCD 1.1) as well as forest
development (CCD 1.7). Both categories CCD 1.1
and CCD 1.7 make up almost exactly 50% of the
entire budget pie on climate change. Irrigation
systems (CCD 1.3) which account for 26% of all
investments are rated with a coefficient of either
67% for actual irrigation systems or 87% for
sluice gates. In a nutshell this suggests for a
higher degree of certainty towards the accuracy
of the classification, as most investments are
without doubt a response to floods, sea level
rise and erosion as well as saltwater intrusion.
Another conclusion is that this finding of
accuracy will not be much different if the
broader CC&GG coefficient range was being
used. Still then, most coastal protection and
irrigation investments account for 100% or up
to 99% for climate change.
Nevertheless it has to be noted that this survey
has not shed light on non-coastal and hinterland
provinces in the Mekong Delta, where the
climate change investment focus will not be on
coastal protection. Also transportation and
urban infrastructure already play a very
important role in each provincial investment
portfolio. Resilience for this infrastructure will
become key for the Mekong Delta region with
growing cities, increasing industrialization and a
much better transportation networks. Higher
proportions for these investments will
automatically lead to more debate as their
climate change response functions are less clear
compared with e.g. a dyke. Climate proofing for
roads or urban sewage systems is more difficult
to calculate or might risk higher inaccuracy
levels. Future surveys which concentrate on
other Mekong Delta provinces should take this
into account. It also suggests that a stronger
emphasis is given to ex-ante tagging modalities
which would allow provincial departments (e.g.
for transportation or construction) to already
include a classification of actual costs during the
planning and implementation process, instead of
complicated and time consuming ex-post on site
visits to assess climate proofing costs of the
past.
37
4.3 Bac Lieu province
Table 8 shows that Bac Lieu spends about US$
20 million according to the CPEIR coefficient
and a range between US$ 18 and US$ 21 million
based on the CC&GG coefficient for climate
change responsiveness. For the CPEIR
coefficient, this makes up 21.01%, for the
CC&GG coefficient a range between 18.8 and
22.1% of Bac Lieu’s total US$ 95.5 million.
Similar to Ca Mau, Bac Lieu province uses the
least of its own provincial sources for climate
change related investments. E.g. only US$
799,331 out of more than US$ 35.5 million in
Table 9 is a disaggregation of Bac Lieu’s
investment budget and shows the province’s
TOP line items which account for climate
change. The list shows the 12 largest climate
response investment projects in categories such
as disaster prevention, coastal protection,
including mangrove rehabilitation, secure water
supply and embankments along inland rivers
and canals and therefore emphasizing Bac Lieu’s
high vulnerability as a coastal province. With
provincial lottery income adds to the overall US$
20 million related to climate change. Indeed the
bulk share stems from ODA funding with US$ 7.6
million, state bonds with US$ 5.1 and further
national budget allocations of US$ 4.6 million. In
addition, Bac Lieu highlights and separates NTP
funding in its aggregated overview, which
accounts for more than half a million US$ for
climate change in 2015. Overall more than 90%
of the US$ 20 million are funded from non-
provincial sources.
more than US$ 5 million, the estuary erosion
prevention project funded through state bonds
is the biggest. In the future it would be also
helpful to indicate the linkage between the
investment and the respective national policies
as part of the budget line item. As 11 out of
those 12 single investments derive from
national or ODA funding, a connection to
national policies or strategies seems obvious.
Table 8: Bac Lieu’s climate change responsive investment 2015 according to
source
Bac Lieu 2015 CPEIR coefficient CC&GG coefficient range
$1= VND 22.500
Source Total Allocated for CC Allocated for CC
min max
Budget balanced Lottery Exceeded revenue from Land-use Budget revenue Loan State Bond Basic contruction ODA NTP resources
$ 10.600.000 $ 35.555.556 $ 500.709 $ 870.622 $ 2.222.222 $ 20.032.844 $ 11.760.000 $ 10.095.378 $ 3.893.929
$ 780.344 $ 799.331 $ 82.327 $ 469.840 $ - $ 5.111.689 $ 4.680.000 $ 7.600.000 $ 549.082
$ 549.070 $ 737.660 $ 62.610 $ 351.041 $ - $ 4.555.081 $ 4.418.875 $ 6.821.496 $ 537.631
$ 827.270 $ 850.363 $ 83.257 $ 475.149 $ - $ 5.357.451 $ 5.117.884 $ 7.880.880 $ 555.287
TOTAL $ 95.531.260 $ 20.072.613 $ 18.033.463 $ 21.147.541
% 21,01 18,88 22,14
38
The pie diagram for Bac Lieu below summarizes
the climate change response investment
categories. The categories are in line with the 3
main CPEIR classification categories Policy and
Governance (PG), Science and Technology (ST)
and Climate Change Delivery (CCD). All three
main categories are further divided into sub-
categories. As the other surveyed provinces, Bac
Lieu is a coastal province. Although it possesses
less than 100km coastline, the province has
been in the media more often between 2015 and
2017 for severe damages along its shores, dykes
breaches and erosion along river embankments.
Hence, CCD 1.1 coastal protection accounts for
Table 9: Bac Lieu’s TOP line item climate responsive investments 2015
TOP line items
Bac Lieu 2015 VND×1mil USD CPEIR
% VND×1mil USD responsible nat.policy
$1=VND22.500 $1=VND22.500
Provincial
Project to construct tide prevention and innudation protection works for Bạc Liêu city and surrounding area
5.982 VND $ 265.867 87% 5.204 VND $ 231.289 DoC
National Allocations
Residential projects, resettlement of protection forest in Bac Lieu
12.000 VND $ 533.333 87% 10.440 VND $ 464.000 DoC
Construction projects for water supply system in Phuoc Long, Phuoc Long distric
10.160 VND $ 451.556 87% 8.839 VND $ 392.844 DoC
Project construction of the embankment projects to combat erosion urgently overcome the consequence of and flood disasters in the two river banks of Bac Lieu (under the investment project the river embankment in the city of Bac Lieu)
38.000 VND $ 1.688.889 87% 33.060 VND $ 1.469.333
Sub-projects for sea dyke section from the channel to the T-junction of Mui Tau and a pillar-structure dam (sluice gate combining function of bridge) through district channel of Huyen Ke
35.000 VND $ 1.555.556 100% 35.000 VND $ 1.555.556 DARD
Investment projects for storm shelters in Nha Mat
20.000 VND $ 888.889 100% 20.000 VND $ 888.889
ODA
Invest in construction of urgent, disaster prevention and response to climate changeworks in the province (Project to construct tide prevention and innundation protection works for Bạc Liêu city and surounding area)
90.000 VND $ 4.000.000 100% 90.000 VND $ 4.000.000
Project on sediment accretion and tree planting for erosion protection in Nhà Mát coastal areas
20.000 VND $ 888.889 100%
20.000 VND $ 888.889 DARD
Project on sedimentation for erosion protection, mangrove planting for erosion protection and Gành Hào sea dyke protection
15.000 VND $ 666.667 100%
15.000 VND $ 666.667 DARD
Project on sediment accretion and coastal protection mangrove rehabilitation in Bạc Liêu province
26.000 VND $ 1.155.556 100%
26.000 VND $ 1.155.556 DARD
Project on climate change adaptation through promotion of biodiversity
20.733 VND $ 921.467 100%
20.733 VND $ 921.467 DARD
State Bond
Coastal river estuary erosion protection revetment of Gành Hào town, Đông Hải
114.280 VND
$ 5.079.111 100% 114.280
VND $ 5.079.111 DARD
39
48%, very similar to the shares measured in Ca
Mau and Soc Trang province. CCD 2.6 as the
category on disaster risk comes second with
25%, followed by CCD 1.5 and CCD 1.4 related to
river embankments and water quality with each
7%. While erosion along river and canal
embankments has to be seen as a common
problem for all Mekong Delta provinces, the
need to improve water quality is again a rather
common phenomenon in either coastal or lower
Mekong river provinces. It has to be noted that
the sub-category CCD 1.5 for water quality has
been selected due to the wording characteristics
of the single investment lines. In other provinces
with similar vulnerability patterns, e.g. in Soc
Trang or Ca Mau, the wording prevention of
saline water intrusion has been used by the
DARDs. It is thus suggested to further
investigate in the use of a sub-category as
similarities might occur and might lead to
unclear result interpretation. In comparison
between the pie diagram and the TOP line item
list, it can be again concluded that for about
three-quarter of all climate responsive
investments (48% coastal protection and dykes
as well as 25 disaster prevention), a 100%
coefficient applies. As for Ca Mau, it is thus save
to say that room for interpretation concerning
climate change relevance is rather low. In fact,
investment categories such as CCD 2.3 urban
infrastructure, CCD 2.4 transportation and CCD
2.5 waste management for which climate change
is only partly relevant (less than 25%) account
for only less than 3% in relation to the overall
US$ 20 million in Bac Lieu.
40
4.4 Kien Giang province
Out of the 4 successfully surveyed provinces,
Kien Giang gains special attention. As the other
3 provinces all spend more than 20% of their
annual investment budgets in 2015 for climate
change. Kien Giang only accounts for a 12.23 %
ratio of the overall investment pie. However, as
one of the wealthier provinces of the Delta (US$
4.1 billion GDP in 2015), Kien Giang possesses
also the biggest of all 4 investment budgets with
more than US$ 222 million in 2015. With
12.23%, the share might be smaller compared to
the other three provinces, real spending
nevertheless reaches US$ 27.2 million and is
thus the second highest amount for climate
response measures. It has to be highlighted that
only about 3% of the US$ 27.2 for climate
change stem from own provincial sources such
as its own tax base and lottery income. Though
this finding makes Kien Giang an extreme case
in which almost the entire climate responsive
funding originates from central government
allocations, ODA and bonds, it is also just
another case which contributes to a pattern that
suggests the hypothesis of central government
funding to be most important for climate
response. This hypothesis might be validated
through an assessment of rich coastal provinces
with a substantial own tax bases such as Da
Nang or Ba Ria Vung Tau.
Diagram 3: Bac Lieu’s climate change responsive investments according to CPEIR typology
CCD1.1: Coastal protection and dykes
48%
CCD1.3: Irrigation systems
3%
CCD1.4: River embankments
7%
CCD1.5: Water quality 7%
CCD1.7: Forest development
3%
CCD 1.9: Biodiversity 5%
CCD 2.6: Disaster Infrastructure
25%
ST 3.2: Energy Efficiency <1%
CCD 2.5: Waste
Management <1%
CCD 2.4:
Transportation <1%
CCD 2.3:
Urban resilience 1%
41
Table 11 below displays the 16 TOP line items
relevant for climate change in Kien Giang
province in 2015. The sole investment from a
provincial source is for urban flood proofing and
is also by far the smallest, compared with
central government allocated, ODA and state
bond projects. The largest single investments
have been made for sluice gates, coastal dykes
and wave breaker, irrigation, water retention
measures and forestation with most
responsibilities assigned to DARD and DoC.
Table 10: Kien Giang’s climate change responsive investments 2015 according to source
Kien Giang 2015 CPEIR coefficient CC&GG coefficient range
$1= VND 22.500
Source Total Allocated for CC Allocated for CC
min max
Budget balanced Central Budget 1 Central Budget 2 ODA National Target Programme State Bond State Bond Counterpart ODA State Bond Rural Programme Loan Lottery Lottery Fund
$ 50.687.600 $ 41.937.778 $ 11.164.133 $ 1.546.667 $ 44.565.600 $ 1.688.889 $ 3.022.230 $ 5.555.556 $ 49.186.356 $ 13.333.333
$ 437.007 $ 12.559.689 $ 9.340.485 $ 577.778 $ 3.811.556 $ 177.778 $ - $ - $ 331.582 $ -
$ 290.653 $ 9.728.400 $ 943.556 $ 577.778 $ 2.901.333 $ 8.889 $ - $ - $ 150.376 $ -
$ 460.991 $ 15.571.600 $ 9.801.844 $ 577.778 $ 5.632.000 $ 435.556 $ - $ - $ 476.691 $ -
TOTAL $ 222.688.142 $ 27.235.874 $ 18.033.463 $ 32.956.460 % 12,23 18,88 14,80
42
Summarizing Kien Giang’s overall climate
response investment in 2015, the conclusion
also differs slightly compared with the other 3
provinces. While Ca Mau has spent 35% and Bac
Lieu and Soc Trang more 45%, Kien Giang only
budgeted 18% for coastal protection and dykes.
Kien Giang’s climate investment pie is more
balanced among coastal protection, saline
intrusion prevention, forest development and
aquaculture. Below 10% are CCD 1.4 river
embankments, CCD 1.5 water quality and also
CCD 2.6 disaster infrastructure. Special
attention should be on the other hand paid to
the province’s transportation and road
investments. With 7% for CCD 2.4 the category
is already relatively well positioned compared
with the other three provinces. Mainly central
government allocations for the up-grading and
partly climate proofing of roads can be
accounted here with a percentage coefficient
between 1-24%. But in addition to that, the
province has funded the construction of new
roads with state bond sources worth VND
672,726 million or US$ 29.9 million in 2015
alone. As for the state bond funding no
information e.g. through DoT’s investment
proposals could be disclosed, it remains unclear
whether part of the investment funding has
Table 11: Kien Giang’s TOP line item climate change responsive investments 2015
TOP line items Total investment value Climate responsive share
Kien Giang 2015 VND×1mil USD CPEIR
% VND×1mil USD responsible nat.policy
Provincial Budget
Flood proofing projects for urbans in MK delta
10.000 VND $ 444.444 100% 3.000 VND $ 133.333 DoC
National Allocations
Embankment in Giồng Riềng 38.900 VND $ 1.728.889 87% 33.843 VND $ 1.504.133
Infrastructure for aquaculture production in Vĩnh Phong – Vĩnh Thuận
5.000 VND $ 222.222 67% 3.350 VND $ 148.889 DARD
Wave breaking dyke and river dredging of Dương Đông river
17.000 VND $ 755.556 100% 17.000 VND $ 755.556 DARD
Sea dyke project in An Biên – An Minh (27 sluicegates)
13.000 VND $ 577.778 100% 13.000 VND $ 577.778 DARD
Sea dyke through Rạch Giá 50.000 VND $ 2.222.222 100% 50.000 VND $ 2.222.222 DARD
Reinforcement & upgrading sea dyke in An Biên – An Minh
10.000 VND $ 44.444 100% 10.000 VND $ 444.444 DARD
Shelters and storm shelter for fishing boats in Lình Huỳnh, Hòn Đất, Kiên Giang
17.000 VND $ 755.556 87% 14.790 VND $ 657.333
Infrastructure construction for resettlement in Gành Dầu
20.000 VND $ 888.889 80% 16.000 VND $ 711.111 DoC
Investment, restoration and protection National forest of UMT
42.000 VND $ 1.866.667 100% 42.000 VND $ 1.866.667 DARD
Water retention of Bãi Nhà, Kiên Hải (Hòn Ngang, Bãi Nhà and repairing retention of Hòn Lớn), Kiên Hải, Kiên Giang
15.000 VND $ 666.667 15.000 VND $ 666.667 DARD
ODA Allocations
Irrigation management serving agri development in MK
21.000 VND $ 933.333 100% 21.000 VND $ 933.333 DARD
Sluicegate for Sông Kiên river, Rạch Giá 115.000 VND $ 5.111.111 100% 115.000 VND $ 5.111.111 DARD
Gaining alum for mangrove forestation to protect sea dyke from Bình Sơn to Bình Giang
13.000 VND $ 577.778 100%
13.000 VND $ 577.778 DARD
Forest restoration project along the coast in Kiên Giang 2015-2020
38.000 VND $ 1.688.889 100%
38.000 VND $ 1.688.889 DARD
State Bond DARD
Adapted irrigation system for aquaculture production
128.000 VND $ 5.688.889 67%
85.760 VND $ 3.811.556 DARD
43
been used for climate proofing measures. It has
to be thus noted that the amount for
transportation from state bond sources in Kien
Giang was classified as non-relevant (0%) due to
lack of appropriate information.
It is therefore one of the key lessons of the
classification process to not only involve the
various provincial departments such as DoT, but
to identify a mechanism in which investment
proposals can highlight climate change response
in rather cross-cutting infrastructure projects
such as roads or urban infrastructure. In
addition, it is also obvious that capacity building
towards climate proofing of public and private
infrastructure has just begun and requires a
horizontal approach, involving more ministries
and departments.
Diagram 4: Kien Giang’s climate change responsive investments 2015 according to CPEIR typology
CCD1.1: Coastal protection and sea
dykes 18%
CCD1.2: Saline intrusion
22%
CCD1.4: River embankments
6%
CCD1.5: Water quality
5%
CCD1.7: Forest development
15%
CCD1.8: Aquaculture 19%
CCD 1.9: Biodiversity 1%
CCD 2.3: Urban resilience
4%
CCD 2.4: Transportation
7%
CCD 2.6: Disaster infrastructure
3%
44
4.5 Soc Trang province
Soc Trang’s results for the 2015 investment
budget plan show high percentage values for
both coefficient methods CPEIR and CC&GG (see
table 12). While the latter indicates a range
between 27% and 38%, the CPEIR almost
perfectly claims the middle with 33.67% climate
change investments. As already seen in table 5
(classification overview 2013-15), Soc Trang
shows peculiar percentage ratios for all three
consecutive years between 2013 and 2015 with
an average of 35.55%. However, what has to be
First of all, the question seems to be difficult to
answer, as Soc Trang could not provide a
funding source differentiated list. As mentioned
earlier, the formats of the all provincial
investment budget plans differ. In most cases,
annual delays e.g. with regards to ODA no
nation-wide template being used at provincial
level, many DPIs also use different formats.
While Bac Lieu province e.g. displays all
expenditures with an indication of the financial
source in one sheet, Ca Mau separates individual
pointed out is that Soc Trang has a much smaller
overall investment budget basis. With US$ 55.3
million, Soc Trang possesses only 60% of Bac
Lieu’s investment budget. And yet, the
province’s investment expenditures for climate
change are almost identical to Bac Lieu’s
investments with US$ 18.6 million vs. US$ 19.6
million. What is the reason for a much smaller
investment budget but relatively high climate
change resilient spending?
spreadsheets according to source in one excel
file. Soc Trang on the other hand lists all
investments, but without further differentiation
according to source. Compared to the other sub-
chapters, an overview to identify highest source
contributions for climate change is not provided.
What offers more insights though is a closer
look through which climate change response
expenses Soc Trang’s budget is being dominated.
Table 13 shows the TOP line items with
relevance for climate change in Soc Trang
Table 12: Soc Trang’s 2015 investments according to source
Soc Trang 2015 CPEIR coefficient CC&GG coefficient range
$1= VND 22.500
Source Total Allocated for CC Allocated for CC
min max
Provincial National NTP ODA State Bond Lottery Loans Other Sources
$ 7.384.000 $ 15.128.889 $ 1.613.333 $ 6.800.000 $ 16.568.889 $ 4.404.267 $ 2.166.667 $ 1.333.333
$ 55.399.378 $ 18.650.862 $ 15.034.085 $ 21.197.328 % 33,67 27,14 38,26
45
province. River embankments and various dyke
projects with a total of more than US$ 3 million
are followed by mangrove rehabilitation and
reforestation projects of around US$ 2 million in
total. With less than US$ 1 million irrigation,
saltwater prevention and climate proof road
construction can be accounted for climate
resilient expenses. Also like in the other
provinces, mainly DARDs are responsible for the
execution of the projects. Although funding
sources cannot be attributed to climate change
expenses in the first place, it seems very likely
that as in the other 3 surveyed provinces, the
majority of climate change funding derives from
national allocations and ODA. One conclusion is
hence, that for the 4 assessed Mekong Delta
provinces, the overall investment budget size is
not determining the amount spend for climate
change response measures. A hypothesis for
future assessments is rather suggesting a large
dependency on fund allocations from central
government for larger infrastructure projects
(dykes and embankments e.g.) or forestation,
based on national policies such as the Decision
667 for the dyke construction from Quang Ngai
to Kien Giang, NTPs or the SP-RCC.
46
The pie diagram below is also confirming the
observation from the examples given in the TOP
line item list and concenring a major attention
on coastal vulnerabilities. CCD 1.1 and CCD 1.3
on coastal protection and dykes as well as river
embankments and dykes make up more than
three-quarter of the entire climate response
funding in Soc Trang province. The overall
pattern is again very similar compared with the
other 3 provinces. Coefficients indicating a much
lower significance of up to 25% relevant for
climate change, only account for the smallest
pieces of the overall climate investment pie. As
in the other provinces, these are transportation
and mainly waste management, which require
further surveillence and methodological fine
tuning in the future. Nevertheless, as they make
up only less than 10% of all climate related
investments, potential deviations are unlikely to
distort provincial results.
Table 13: Soc Trang’s TOP line item investments for climate change response in
2015
TOP line items
Soc Trang 2015 VND×1mil USD CPEIR % VND×1mil USD responsible
Build surrounding dyke to protect low-lying areas in Ngã Năm district (Ngã Năm town at present) from flooding, Sóc Trăng province
28.000 VND $ 1.244.444 99% 27.720 VND $ 1.232.000 DoC
Build surrounding dyke to protect low-lying areas in Ngã Năm district (Ngã Năm town at present) from flooding, Sóc Trăng province
60.000 VND $ 2.666.667 99% 59.400 VND $ 2.640.000
Improve and upgrade irrigation system for aquaculture in Lai Hòa – Vĩnh Tân, Vĩnh Châu town, Sóc Trăng province
13.000 VND $ 577.778 67% 8.710 VND $ 387.111 DARD
Improve and upgrade irrigation system for aquaculture in Vĩnh Phước – Vĩnh Tân, Vĩnh Châu town, Sóc Trăng province
14.500 VND $ 644.444 67% 9.715 VND $ 431.778 DARD
Saltwater intrusion prevention system to stabilise production at Saintard river right bank area-under the irrigation management for rural production in the Mekong Delta project
14.100 VND $ 626.667 100% 14.100 VND $ 626.667 DARD
Improve and upgrade irrigation system for aquaculture in Cù Lao Dung district
17.500 VND $ 777.778 67% 11.725 VND $ 521.111 DARD
District road 50, Mỹ Xuyên district 21.700 VND $ 964.444 20% 4.340 VND $ 192.889 DoT
Rural roads for traffic and for rescue, security and defense of new rural communes in Vĩnh Châu town, Sóc Trăng province
48.750 VND $ 2.166.667 20% 9.750 VND $ 433.333 DoT
Maspero river bank embankments 77.800 VND $ 3.457.778 87% 67.686 VND $ 3.009.267 DARD
Maspero river bank embankments 14.000 VND $ 622.222 87% 12.180 VND $ 541.333 DARD
Protect from erosion, create accretion and plant mangrove trees for sea dyke protection from erosion in Vĩnh Hải commune, Vinh Chau district (Vinh Chau town at present)
20.000 VND $ 888.889 100% 20.000 VND $ 888.889 DARD
Create accretion and plant mangrove trees at sea dyke of Vĩnh Tân – Vĩnh Phước communes
20.000 VND $ 888.889 100% 20.000 VND $ 888.889 DARD
Pilot new plantation, restoration and protection of mangrove forests for climate change adaption in the coastal zone of Soc Trang province
25.000 VND $ 1.111.111 100% 25.000 VND $ 1.111.111 DARD
Vĩnh Châu embankment for river erosion protection
20.000 VND $ 888.889 87% 17.400 VND $ 773.333 DARD
Embankments to remedy river erosion in Ke Sach district
10.000 VND $ 444.444 87% 8.700 VND $ 386.667 DARD
47
4.6 Summary of Findings and Conclusions Concerning the Mekong Delta Provinces
National sources are mainly used for climate
change response investments, regardless of the
individual provincial tax base and how big
lottery incomes are. Most sources with
provincial origins are being spent for education,
health or transportation and roads. Hence the
lack of climate responsive spending from
provincial sources does not offer much room for
criticism. The finding about the lion’s share
origin of climate investment sources rather
leads to the hypothesis that investments,
especially in coastal protection and dykes, but
also inland waterway embankments and erosion
protection as well as larger irrigation and saline
water intrusion prevention projects depend on
national funding and nationally steered planning
One conclusion is hence, that for the 4 assessed
Mekong Delta provinces, the overall investment
budget size is not determining the amount spent
for climate change response measures. A
hypothesis for future assessments is rather
suggesting a large dependency on fund
allocations from central government for larger
infrastructure projects (dykes and
embankments e.g.) or forestation, based on
national policies such as the Decision 667 for
the dyke construction from Quang Ngai to Kien
Giang, NTPs or the SP-RCC.
Another major conclusion though picks up on
the finding that provincial climate change
response investments mark a significant
dependency on central government funding. Of
course dependency provides negative
associations, especially in a highly decentralized
context. Also the principal of subsidiarity states
that no higher-level public agency should
Diagram 5: Soc Trang’s climate change response investments according to CPEIR
typology
CCD 1.1: Coastal protection and sea
dykes 47%
CCD 1.2: Saline Intrusion 3%
CCD 1.4 : River dyke embankments
30%
CCD 1.5: Water quality 2%
CCD 1.8: Aquaculture 9%
CCD 1.9: Biodiversity 1%
CCD 2.4: Transport 4%
CCD 2.5: Waste Mgmt.1%
Science&Tech: 2%
48
attempt to do what a lower-level agency can do
better. And this seems to be one of the core
questions for Vietnam’s implementation of
climate change strategies. Are provinces, as the
main lower administrative level, able to handle
climate change response and related mitigation
and adaptation investments better than central
government? The nature of the majority of
climate responsive infrastructure investments
e.g. for coastal protection and inland irrigation
suggests differently for a number of reasons.
First, most infrastructure investments require
technical expertise and capacities which are
hardly to be found in every single province and
rather available at national level. Second and
probably more important however, is the fact
that the Mekong Delta proves to be a common
geographical region that shows not only a huge
number of similarities but interdependencies.
Every coastal intervention in one province can
lead to consequences in neighboring provinces
down or up the coastline or related to its fresh
and saltwater regime. To avoid negative lock-in
effects and to ensure investment prioritization
along vulnerability criteria instead of rather
equal provincial fund distribution, a more
centralized strategic approach to include the
entire coastline of the Mekong Delta is thus a
necessary condition. NTPs or the mentioned
Decision 667 for the dyke construction and
routing from Quang Ngai to Kien Giang are
examples for the needed national influence on
climate responsive planning. And yet, although
funding dependency is given, actual on-site
planning and implementation of provincial
measures is often characterized by negotiations
between national ministries and provinces. The
results are often compromising and it remains
an open question whether the national fund
allocations always follow a streamlined regional
approach. Instead experiences in the four
examined provinces also indicate piece-meal
solutions e.g. concerning coastal protection
measures, which rather lead to the hypothesis
that competition between Mekong Delta
provinces determines funding allocations more
than regional strategic views. The Prime
Minister’s Decision 593 from 2016 stresses the
importance of a regional coordination
mechanism which could incorporate both, the
national and provincial views and demands and
leads to much more efficient ways for
appropriate investment decisions. As Decision
593 is also highlighted as one of the connections
to NDC task #67, the planning and budgeting
landscape for climate responsive investments
might also change.
49
5. ITERATIVE STEPS AND RECOMMENDATIONS FOR FUTURE PLANNING
50
The findings and results of chapter 4 shed light
on the actual provincial planning figures and
commitments towards climate change response.
In the light of strengthening MRV, it has to be
noted that this ex-post analysis provides
straight answers to “R” reporting and “V”
verification. Although the above initiated
analysis leaves questions concerning the linkage
between national climate change strategy
formulation and implementation verification so
far unanswered, a follow-up to this survey
should highlight this connection. At best, such
verification would offer PPCs and technical
implementers a chance to better align
investment planning to given national
requirements. National policy makers on the
one hand would receive feedback to also
conclude whether national targets are realistic
or too ambitious for provincial implementation
or whether interfaces in the translation between
policy (e.g. laws, decisions, strategies) and the
formulation of practical guidelines are missing.
Already now, linkages between the NDC tasks
and both single line item investments and the
applied CPEIR typology (especially Climate
Change Delivery) apparently offer ways for a
much better synchronization between the Paris
Agreement and provincial implementation.
A procedural mechanism which includes the
involvement of different national and provincial
actors to cooperate on verification questions
however, is yet to be established. Another
shortcoming so far is also the lack of a
horizontal, inter-sectoral approach at provincial
level. The analysis above is a result of the
cooperation between the provincial DPIs and
GIZ. It has been mainly DPI staff to participate in
trainings and to organise internal task forces to
gather all necessary investment plan data to
ensure a classification by hindsight. Although
the DPIs are the main responsible sector
departments at provincial level to overlook the
investment planning, the initial proposal and of
course final execution of climate response
investment is mainly within the responsibility of
other sector ministries or departments at
provincial level. As the TOP line item tables in
the previous chapter show, the vast majority of
provincial TOP line item investments for climate
change response are planned by DARD.
Irrigation, agriculture but also coastal
protection and forestry are all areas for which
DARD is responsible. Other important provincial
departments are the DoC and DoT, as they
mainly subscribe to questions related to climate
proof urban infrastructure and transportation.
In general, this implies functioning iterative
loops characterized by a rather high level of
“guided change” instead of a top-down “directed
change” process (Buono; Kerber, 2009). It
remains to be analyzed whether “guided
change”, based on cooperation between actors is
feasible in Vietnam, e.g. between central
government and provincial level. Sluggish
reaction time of either central government or
provinces to adjust climate change targets or
implementation practices would of course
hamper the process. In light of the Paris
Agreement’s binding timeline, one question for
the nearer future will be whether a national
MRV system based on ex-post tagging and
tracking will allow for needed adjustments and
also create room to formulate even higher
ambitious targets and milestones in 5 year
steps.
Although climate models and down-scaling
abilities have become more accurate in recent
years, extreme weather events and the difficulty
to calculate appropriate contingencies lead to
higher uncertainty, especially at local level.
Using MRVs to also accelerate reaction time of
public serve providers has thus to be seen as a
managerial asset for the future.
This survey recommends a piecemeal approach
which focuses on a potential adjustment of the
planning procedure, based on an ex-ante budget
classification. Diagram 6 below shows the
51
hierarchy and the top-down flow of the climate
planning process. Although Vietnam’s Central
Party Committee Resolution and both the
National Climate Change Strategy as well as the
Vietnam Green Growth Strategy have been in
place since 2011 and 2012, the Paris Agreement
and Vietnam’s NDC are now internationally
recognized and will be the focus until 2030. In
the course of establishing an appropriate MRV
system, the harmonization of both levels,
international and national will be important.
This is true as all subsequent provincial climate
responsive planning and implementation efforts
are supposed to be based on the 2011 and 2012
national strategies. But besides this rather high
level synchronization, this survey emphasis on
the interface between “Provincial Action Plans
to Respond to Climate Change”/ “Provincial
Green Growth Strategies” and annual
investment budget planning.
(author’s diagram)
Diagram 6: Suggestion for future CC&GG investment planning and tracking
52
At provincial level a higher degree of horizontal
coordination with a key role for the DPIs seems
to be important for success. Already in the
aftermath of the 2011 National Climate Change
Strategy, provinces under the leadership of the
DoNREs established Provincial Task Forces or
Steering Groups to allow for mainly adaptation
action plan formulation. Many provinces did not
have an appropriate follow-up system to either
monitor or evaluate the adequacy of the action
plans, although they exist on paper. Even more
important was the fact that the Provincial Action
Plan to Respond to Climate Change and Sea
Level Rise has always seen as stand-alone
document without the necessary linkages to
other already existing sectorial plans. In
retrospect, this has made many response actions
plans toothless. As highlighted in the previous
chapter of results from the provinces, mainly
DARD, but also DoC and DoT are planning
climate responsive investments. Therefore both,
the 5 year medium-term strategy planning and
annual planning cycle must ensure the
synchronization of all relevant sector strategies
and plans with both provincial adaptation and
mitigation strategies (climate response and
Green Growth). As the lead agency for
investment planning at provincial level, DPI
could lead a facilitation role. Probably the most
important aspect of the investment planning
process after a medium-term strategy
formulation is the elaboration of the sectorial
investment proposals. Dependent on the nature
of the investment, a proposal rolls out a funding
time line for subsequent years to be followed. As
Commitment Appropriations (CA) are not
granted for a multi-year investment roll-out,
continuous funding for on-going investment
projects has to be planned and approved on an
annual basis. The proposal process is initiated
by the respective sector department,
coordinated by DPI and finally approved by the
Provincial People’s Committee and Council.
Without synchronization of the climate change
actions with the above mentioned individual
sector plans, it will be highly unlikely that
investment proposals reflect climate change and
take targets into account.
As an investment planning facilitator, DPI would
need to initiate a broader sensitization and
training approach, to include the most relevant
sector departments such as DARD, DoC, DoT,
DoNRE, DoH, DoST and DoLISA in this
harmonization effort of climate and sector
planning. With a multitude of 63 provinces in
Vietnam or 13 provinces in the Mekong Delta,
external support from MPI as well as respective
donor agencies seems decisive. Interprovincial
capacity development and training approaches
probably also increase the efficiency for up-
scaling. Experience in the Mekong Delta has
shown that many provincial departments have
not yet been sufficiently exposed to climate
change related questions and insufficiently
enabled to mainstream adaptation or mitigation
considerations into their field of work. GIZ’s
capacity development approaches e.g. have
empathized on the mainstreaming and gap
bridging e.g. with the DARDs through coastal
protection and management planning in relation
to sea level rise and erosion or even in
cooperation with DoLISA and newly developed
viewpoints to include vulnerabilities due to
climate change into Gender Equality Action
Planning (GEAP). Only this horizontal
involvement of different actors to recognize
investments e.g. in dyke upgrading and to
realize the “mainstreaming” contributions e.g.
for livelihood improvements with a special
gender and vulnerability focus or “climate
proofing” of flood risk roads will ensure a
thorough application of climate strategies at
provincial level.
As a result, sector departments will be better
equipped to formulate multi-year investment
proposals with active reference to provincial
climate strategies (adaptation or Green Growth)
53
and potentially the NDC. In addition, a “pre-
tagging” or classification could be introduced in
which the sector departments already rate their
proposed investments in line with the CPEIR
categories (PG, CCA, ST and also GG) and the
associated CC&GG coefficient. In the process of
collecting all sectoral investment proposals on
an annual basis, DPI would exercise another
check (in accordance with DoNRE) regarding all
made references and the accuracy of the “pre-
tagging”. Potentially an extra list, which
summarizes all climate relevant annual
investments, could support PPC throughout the
approval process and also during yearly
negotiations with central government for
obtaining NTP funding. A real-time monitoring
(“M”) might thus offer more action to also
improve iterative policy loops and to strengthen
interfaces between the needed quick reaction
due to extreme weather events and public
service provision to ensure appropriate
resilience.
54
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Author
Benjamin Hodick
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