1 kazi f. jalal faculty, harvard extension school lecture 6.10 10/07/10 indicators of environment...
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Kazi F. Jalal
Faculty, Harvard Extension School
Lecture 6.1010/07/10
Indicators of environment & sustainable development
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Lecture Outline 1. Introduction
2. Environmental quality indices
-Cost of remediation
-Environmental elasticity
- Environmental diamond
3. Social Development elasticity
3. Human development index (HDI)
4. Summary & conclusions
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In my policy-making I need an indicator in money terms for losses in environment and resources, as a counterweight to the indicator for production, namely national income. If a theoretically sound indicator is not possible, then think up one that is rather less theoretically sound.
A Former Indonesian Minister for Population and Environment, 1986
A concerted effort to enhance habitability of our planet is unlikely to succeed unless we know “where we are” and “where we want to go.” To answer these questions, we must first consider exactly what we include in the term “environment.” If we restrict our definition to overly simplified definitions, such as the amount of a specified pollutant in the air, we have very little difficulty in measuring the environment. However, as we broaden our definition to include all the physical components, or all the physical and biological, or all the physical, biological and cultural ones, environment becomes exponentially more difficult to describe.
W.A. Thomas, 1972
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Environmental quality indices
Cost of Remediation Environmental Elasticity Environmental Diamond
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Cost of Remediation (COR)
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Definition and Concept
COR is the cost of moving the present state of environment to a more acceptable level based on a set of pre-determined standards
Three steps... Assess existing environmental quality Establish a set of environmental standards or
targets Estimate aggregated costs of achieving
environmental standards or targets
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Advantages of COR
It is in monetary terms and can be an effective counterweight to traditional economic indicators such as GDP
Costs of remediation of different components of the environment can be added, subtracted freely and, thus, it partially avoids the weighting problem
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Targets
Air and Water
Pollutants: Five pollutants including COD, suspended solids and heavy metals (water); total suspended particulates (TSP) and sulfur (air)
Targets: 90% reduction in water and air pollutant emissions (1990 levels) in 10 years
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Targets
Land: Three Components Soil Erosion Control
– Target: 70% of eroded area will be controlled to achieve 70-95% erosion reduction within 10 years,
Forest cover– Target: 20% of total land cover within 10 years,
Municipal Solid Waste Management – Target: All municipal wastes will be collected and
disposed immediately
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Targets
Ecosystem/Biodiversity Conservation
Target: Protected areas as a % of total land area,10%
10-year plan of building national parks and conservation areas (Indonesia, e.g.)
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PRC cost data on air, water and land (soil erosion control and reforestation) pollution control are used and extrapolated to other countries.
WB’s cost estimates on solid waste management in developing countries and IUCN’s cost data for Indonesia on ecosystem management (of parks and conservation areas) are used and extrapolated to other countries.
Cost Assumptions
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Table 1. Annualized Cost of Remediation for DMCs ($million in 1990 US$)
Country Water Air Land Ecosystem COR(total)BAN 13.70 30.34 321.47 52.39 417.89
BHU 0.16 0.35 8.50 24.45 33.45
CAM 0.31 0.70 78.11 30.85 109.97
LAO 0.26 0.58 38.46 33.18 72.48
MON 5.91 13.08 2,773.26 13.39 2,805.64
MYA 3.56 7.87 260.74 65.20 337.36
NEP 0.78 1.74 115.60 48.90 167.02
PAK 53.97 119.49 867.20 36.09 1,076.76
SRI 3.50 7.76 65.12 147.86 224.24
VIE 12.97 28.71 200.75 251.48 493.91
PRC 1,430.13 3,166.07 12,657.97 299.79 17,553.96
IND 418.97 927.53 4,882.97 852.23 7,081.70
INO 100.10 221.61 953.92 296.30 1,571.93
PNG 1.73 3.82 12.94 70.44 88.92
PHI 39.59 87.65 319.67 160.67 607.57
THA 67.00 148.32 557.63 47.73 820.68
FIJ 0.52 1.16 7.48 20.37 29.53
KOR 199.84 442.41 203.24 61.71 907.19
MAL 43.15 95.52 138.78 329.48 606.93
SIN 24.42 54.07 14.65 14.55 107.70
TOTAL 2,420.58 5,358.76 24,478.44 2,857.06 35,114.83
Table 1
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Figure 1Fig 1: Annualized COR As a % of GDP
0.00% 1.00% 2.00% 3.00% 4.00% 5.00% 6.00% 7.00% 8.00%
1. Singapore
3. Thailand
5. Malaysia
7. Indonesia
9. Fiji
11. Sri Lanka
13. India
15. Nepal
17. Viet Nam
(%)
Figure 2
Figure 2 Environmental Expenditure as % of GDP for Selected OECD Countries
0 0.5 1 1.5 2 2.5
France
United Kingdom
Austria
United States
Switzerland
Netherlands
Environmental Expenditure as % of GDP
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Environmental Elasticity (EE)
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Definition and Concept
EE is a ratio : aggregate percent change in environment /
aggregate percent change in economy Principal merits:
dynamic; uses data for two points in time to capture environmental changes w.r.t economic trends
it is a trend indicator as opposed to a state indicator
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Figure 3
(0,1)
II I
Economic Aggregates
(Denominator)
(1,0)
IV
(-1,0)
III
(0,-1)
Positive Environmental change
relative to
Positive Economic change
Negative Environmental change
relative to
Positive Economic change
Negative Environmental change
relative to
Negative Economic change
Environmental Aggregates (Numerator)
Positive Environmental change
relative to
Negative Economic change
Fig. 3: Map of Environmental Elasticity
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Table 2 Table 3 Average Annual Change Rates (AACR) of Selected Environmental-Economic Indicators
Country Tot. Com. Eng. Use % Pop w S.D.W. Fertilizer Use/ha Forest Cover Env. Aggregate Total GDP
AACR (1980-93) AACR (1980-91) AACR (1980-93) AACR (1980-90) AACR (1980-early 90) AACR (1980-93)
Viet Nam 2.6% 2.91% 36.21% -1.44% -9.34% 7.10%
Nepal 8.1% 15.90% 23.31% -1.07% -4.15% 5.00%
Bangladesh 7.9% 9.45% 9.75% -2.73% -2.73% 4.20%
Lao PDR 2.6% 2.92% -2.12% -0.90% 0.39% 4.80%
India 6.7% 7.31% 2.13% -0.62% -0.53% 5.20%
Mongolia 2.2% -3.09% 4.35% -0.86% -2.62% 3.80%
Pakistan 6.8% 3.77% 6.98% -2.69% -3.18% 6.00%
P.R. China 5.1% 5.45% 7.75% -0.65% -2.01% 9.60%
Sri Lanka 1.9% 10.16% 0.72% -1.50% 1.51% 4.00%
Myanmar -0.8% 5.45% -2.38% -1.22% 1.85% 0.80%
Indonesia 7.5% 7.51% 7.01% -1.00% -2.00% 5.80%
Philippines 3.5% 7.08% 3.15% -2.91% -0.62% 1.40%
P. New Guinea 2.4% 9.84% 8.32% -0.30% -0.29% 3.10%
Thailand 10.5% 1.25% 20.21% -2.91% -8.09% 8.20%
Korea, Rep. 9.5% 0.25% 2.10% -0.15% -2.87% 9.10%
Singapore 7.7% 0.00% 0.14% 0.00% -1.96% 6.90%
AVERAGE 5.3% 5.38% 7.98% -1.40% -2.31% 5.17%
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Table 3Table 4. Environmental Elasticity (1980) -early 1990s)
+ Env
+ Env
+ Eco
+ Eco
+ Env
+ Env
+ Eco
+ Eco
+ Env
DiagramRankingValueCountry
Myanmar 2.32 1
Sri Lanka 0.38 2
Lao PDR 0.08 3
P. New Guinea -0.09 4
India -0.10 5
+ Eco
Group Characteristics
A
A
A
B
B
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+ Env
+ Env
+ Eco
+ Eco
+ Env
+ Env
+ Eco
+ Eco
+ Env
DiagramRankingValueCountry
Bangladesh -0.65 12
-0.69 13
Nepal -0.83 14
Thailand -0.99 15
Viet Nam -1.32 16
+ Eco
Group Characteristics
B
B
B
B
C
Mongolia
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Environmental Diamond (ED)
Definitions and Concepts
A graphic tool based on WB’s Development Diamond (DD)
DD: GDP per capita, life expectancy, gross primary school enrollment, access to safe drinking water
ADB Environmental Diamond (ED) ED: air, water, land, ecosystem
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100%Access to safedrinkingwater
100%100%
100%
GDP per capita
Life expectancy
Primary schoolenrollment
100%
Ecosystem100%
100%
100%
Air
Water
Land
Global Average Reg’l AverageHypothetical Country Hypothetical Country
Development Diamond Environmental Diamond
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Table 4 Selected Environmental Indicators for Environmental Diamonds
Country Energy Consumption % Pop w Safe Fertilizer Use Forest Cover (%)
kg/c (oil eq), 1993 Drinking water,1991 100g/ha,1993 1990
Viet Nam 77 50% 1347 25.0%
Nepal 22 37% 391 35.5%
Bangladesh 59 78% 1032 5.6%
Lao PDR 39 28% 42 55.7%
India 242 75% 420 15.7%
Mongolia 1089 66% 108 8.9%
Pakistan 209 50% 1015 2.4%
P.R. China 623 71% 3005 13.0%
Sri Lanka 110 60% 964 25.8%
Myanmar 39 33% 69 42.7%
Indonesia 321 42% 1147 57.5%
Philippines 328 81% 540 26.0%
Papua New Guinea 238 33% 308 77.8%
Thailand 678 72% 544 24.8%
Korea, Rep. 2863 78% 4656 65.7%
Singapore 5563 100% 5600 0.0%
AVERAGE 441 69% 1217 21%
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Table 5 Scores for Constructing Environmental Diamonds
Country Air Water Land Ecosystem
(Energy Use/c) (% Pop w/o S.D.W) (Fertilizer Use/ha) (% Land w/o Forest)
Viet Nam 17% 159% 111% 95%
Nepal 5% 200% 32% 82%
Bangladesh 13% 70% 85% 120%
Lao PDR 9% 229% 3% 56%
India 54% 79% 35% 107%
Mongolia 245% 108% 9% 115%
Pakistan 47% 159% 83% 124%
P.R. China 140% 92% 247% 110%
Sri Lanka 25% 127% 79% 94%
Myanmar 9% 213% 6% 73%
Indonesia 72% 184% 94% 54%
Philippines 74% 60% 44% 94%
Papua New Guinea 54% 213% 25% 28%
Thailand 153% 89% 45% 95%
Korea, Rep. 645% 70% 383% 43%
Singapore 1253% 0% 460% 127%
AVERAGE 100% 100% 100% 100%
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Table 6 Country Rankings Based on RMS Values
Rank Country RMS Total (eq. wt) (%) Group Characteristics
1 Philippines 70 A
2 India 74 A
3 Bangladesh 81 A
4 Sri Lanka 89 A
5 Thailand 103 B
6 Viet Nam 108 B
7 Nepal 109 B
8 Papua New Guinea 111 B
9 Pakistan 111 B
10 Myanmar 113 B
11 Indonesia 113 B
12 Lao PDR 118 B
13 Mongolia 146 B
14 PRC 159 B
First is the best. A = less than average; B = more than average.
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II: SOCIAL DEVELOPMENT INDICATORS
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Social Development Elasticity (SDE)
SDE is a ratio : percent change in ratios of income distribution /
aggregate percent change in economy Principal merits:
dynamic; uses data for two points in time to capture social changes w.r.t economic trends
it is a trend indicator as opposed to a state indicator
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Social Development Elasticity(SDE)
Cntry Year Q1 Q2 Q3 Q4 Q5 GDP %C GDP
Q5/Q1
%C Q5/Q1
SDE
PRC 1989 6.46% 11.58% 15.87% 24.06% 42.03% 15128.07
6.51-10.15 1.26
1990 7.01% 11.89% 16.14% 23.98% 40.98% 163414.99
5.85-4.22 0.28
1991 6.44% 11.40% 14.85% 31.25% 36.06% 187921.71
5.6023.56 -1.09
1992 6.02% 10.70% 15.81% 25.82% 41.65% 2287 6.92
IND 1989 9.10% 12.90% 16.60% 21.70% 39.70% 494413.03
4.36-1.51 0.12
1990 9.10% 13.10% 16.90% 21.80% 39.10% 558814.82
4.308.35 -0.56
1991 9.00% 12.50% 15.90% 20.70% 41.90% 641612.87
4.660.32 -0.02
1992 8.80% 12.50% 16.20% 21.40% 41.10% 7242 4.67
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Social Development Elasticity (SDE)SDE
SDESDE
SDE
SDE
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a) Human Development Index(HDI) Summary measure of three basic dimensions of
human development: a. Longevity as measured by life expectancy at
birth b. Knowledge as measured by adult literacy
rate(2/3) and combined primary, secondary & tertiary gross enrollment ratio(1/3)
c. Standard of living (gdp /capita in US$)
Measuring HDI a. Fix goalposts for max and min value for each b. Calculate three indices (life expectancy,
knowledge and GDP) and add them.
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Goalposts for calculating HDI**UNDP(2005): Human Development Report
Indicator Maxm. value Minm. Value
Life expectancy at birth
85 25
Adult literacy rate (%) 100 0
Combined gross enrollment ratio(%)
100 0
GDP per capita (PPP US$)
40,000 100
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Calculating HDI
1.Calculating life expectancy index (D1)
D1 =(actual value-min. value)/(max. value-min value);
2.Calculating knowledge index (D2)
D2= 2/3 adult literacy index+ 1/3 gross enrollment index
3. Calculating GDP index (D3)
D3 = (log actual value –log min. value)/ (log max. value – log. Min. value)
4. HDI = 1/3 (D1+D2+D3)
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Most and least livable countries
-High HDI(>0.8)
Iceland (0.968),Norway,Canada,Australia, Ireland
- Low HDI(<0.5)
Chad(0.389), Ethiopia, Mali, Guinea, Uganda
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Summary & Conclusions
Indicators of SD are many; like an automobile dashboard they serve many purposes.
COR indicate the amount of wealth a society has to forgo to realize environmental goals
EE expresses dynamic relationship between GDP growth and environmental degradation
ED reveals the state of the environment at a given point of time
SDE expresses dynamic relationship between GDP growth & income gap between the rich & the poor
HDI determines human well-being by measuring their longevity, knowledge and income.