lada fy17 q1 monitoring and evaluation report
TRANSCRIPT
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LADA FY17 Q1 Monitoring and Evaluation
Report
Liberia Agribusiness Development Activity (LADA)
Submitted by: Oscar Gurtor Flomo Submitted to: Daniel Gies
M&E Manager, CNFA LADA Chief of Party, CNFA LADA
Date: January 30, 2017
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Cover photos clockwise: 1. Participants of the BDS training section in Sanniquellie City, Sanniquellie
District, Nimba County 2. Rice field of the Mayor Farmers Association in Foya, Lofa County, 3.
Calculating the unit cost of processed rice in Foya, Lofa COunty, 4. Inputs Utilization Training at
Welekermah farmer cooperative in SanoyeaTown, Sanoyea District, Bong County
Table of Contents
List of Acronyms …………………………………………………………………………… 3
1. Introduction..………………………………………………………………………… 5
2. Completion of FY16 Data Collection and Reporting ……………………………….. 5
3. M&E Review and Planning Meeting ……………………………………………….. 5
4. Planning for LADA First DQA ……………………………………………………… 6
5. Development of LADA Database …………………………………………………… 6
6. Field Monitoring Activities …………………………………………………………. 6
7. Performance Summary – Q1 FY17 ………………………………………………… 6
8. Presentation of Q1 FY17 Performance Indicators Results …………..……….…….. 7
9. Indicator Performance Tracking Table FY17…….………………………………... 14
10. Activity Implementation Tracker – FY17 ………………………………………….. 18
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ACRONYMS
AIN Agribusiness Investment Network
BDS Business Development Services
BMT Business Management Training
CBO Community Based Organization
CDA Cooperative Development Agency
CNFA Cultivating New Frontiers in Agriculture
COP Chief of Party
DCA Development Credit Authority
DQA Data Quality Assessment
FBO Farm Based Organization
FGD Focus Group Discussions
FtF Feed the Future
FTFMS Feed the Future Monitoring System
FY Fiscal Year
IP Implementing Partner
IR Intermediate Result
IPMT Indicator Performance Monitoring Table
LOA Life of the Activity
M&E Monitoring and Evaluation
MT Metric Tons
NGO Non-Government Organization
PIDS Performance Indicators Database System
PIRS Performance Indicator Reference Sheet
PPP Public Private Partnership
PY Project Year
RF Results Framework
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SHF Smallholder Farmer(s)
SME Small to Medium Enterprises
TBD To be determined
USAID United States Agency for International Development
USG United States Government
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INTRODUCTION
This M&E report for Q1 of FY17 highlights keys activities undertaken be the LADA M&E team during the period October to December 2016 including data collection and reporting, M&E work planning, development of LADA database and mobile data collection application, and field monitoring of project activities. Also included in this report is the Indicator Performance Report for Q1 which is presented along with the Indicator Performance Tracking Table showing the values for quarterly indicators.
At the end of this report, a color-coded LADA Activity Tracker for Q1 of FY17 is presented.
Completion of FY16 Data Collection and Reporting In October of 2016 (beginning of Q1), the LADA M&E team completed data collection activities for FY16. In all, the team collected performance data on 20 of the 26 indicators currently in its M&E Plan. Data on 8 of the indicators was collected from sample surveys while data on 12 was collected from routine monitoring.
Through the LADA FY16 Performance Indicators Report, the M&E team reported on the results of this exercise in November, 2016. Of the 20 indicators on which data was reported, none achieved their targets, 7 under-achieved their targets and 9 over-achieved their targets. Four (4) of the indicators did not have targets for FY16. The team also completed data entry into the USAID/LSA PIDS and the FtFMS.
M&E Review and Planning Meeting The M&E Team planned and conducted an M&E Review and Planning Meeting in Ganta, Nimba County from November 24 to 27, 2016. Firstly, the purpose of the meeting was to review LADA FY16 M&E efforts including reviewing baseline planning and execution; reviewing M&E Plan development and approval process; reviewing FY16 annual data collection exercise and performance report; identifying successes, challenges and lessons learned; and making recommendations for FY17 and beyond. Secondly, the sought to review LADA data quality assurance procedures; review sample DQA reports from other projects; plan M&E filing setup for Monrovia and field offices; discuss LADA M&E Manual and timeline for its completion. Thirdly, the meeting aimed to plan and develop annual, quarterly and monthly M&E work plans covering data collection and reporting, M&E training, special studies, coordination meetings, among others.
In the end, the meeting was successful; all LADA M&E team members were in full attendance. The reasons for the gathering as mentioned above were desirably achieved. Successes, challenges, and lessons learned in FY16 were reviewed and documented. Preparation for the upcoming DQA was started and the M&E FY17 annual work plan was completed. The team agreed that such a planning and view meeting should be held continuously to help M&E identify and overcome some common challenges that could impede program implementation.
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Planning for LADA First DQA At a meeting with Dr. Samba Kawa - AOR for LADA, Daniel Gies - COP for LADA and Oscar G. Flomo - M&E Manager for LADA in December 2016, it was proposed and agreed that LADA first DQA be conducted in January 2017. This exercise would be led by the USAID/Liberia Strategic Analysis (LSA) and involve teams from LADA and USAID.
As part of plans for ensuring excellent results from this exercise, during Q1 the M&E team continued work on drafting an M&E Manual and developing a manual filing system for LADA data. Work is continuing on development the manual which principally contains protocols on data collection, storage, analysis and reporting. Sections on use of LADA database and mobile data collection application are not completed these M&E software are under development. Manual filing of M&E data for FY16 has been completed.
Development of LADA Database and Mobile Data Collection Application To enable effective and efficient data collection, analysis, storage and reporting, the LADA team has embarked on the development of an automated database and a customized mobile data collection application.
In November 2016, CNFA contracted HAK Technology – Monrovia-based technology company- to develop a thorough but simplified interactive database system for tracking LADA’s inputs, outputs and outcomes through the use of routine data collection and survey tools. The database will have the capability to generate reports including creating dynamic visualizations. This database will be able to link to the mobile data collection application to also be developed by HAK under this contract. This user-friendly monitoring and evaluation mobile data collection application will allow the field team to collect data using mobile devises with the technology to transmit the collected data to a central location in real time.
Field Monitoring of Activities The M&E team undertook routine monitoring of field activities involving all program components in Q1. The monitored and reported on agro-dealer activities and inputs utilization training under Component One; CIF and Access to Finance activities and post-harvest training under Component Two; the launch of the AIN and LADA’s participation in the 2016 MSME Conference under Component Three as well as cross-cutting activities on LADA.
Performance Summary – Q1 FY17
In December 2016 and January 2017, the LADA team collected performance data on 5 of LADA 6 quarterly (and one semi-annual) indicators currently in its M&E Plan. Data on these indicator were collected through routine monitoring. All the data came from Components One and Two; there were none from Component Three or the Goal indicators.
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As quarterly targets had not been set for these indicators, the achieved for Q1 were compared with the annual targets to measure the deviation.
Presentation of Q1 Performance Indicators Results
Indicator: Volume (in tons) of agricultural inputs sold
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 1.1.1 Outcome Location
(county); Type (not including equipment)
- 190 MT 3,100 MT
Achievement: Among LADA-assisted agro-dealers, a total of 34.1 MT of ago-inputs (excluding machinery/equipment) was sold in Q1 of FY17. This is made up of 1.28 MT of assorted plant seeds, 27.71 MT of fertilizers and 5.11 MT of agro-chemicals (pesticides, herbicides, etc). By location, Montserrado County 27.97 MT, Nimba County accounted for 4.03 MT of total sales, followed by Lofa County with 1.11 MT and then by Bong with 0.99 MT.
Type Montserrado Bong Nimba Lofa Total (MT) Seeds 1.27 0.0016 0.0068 0 1.2784
Fertilizers 22.5 0.95865 3.695 0.56 27.71365 Chemicals 4.202 0.0256 0.33311 0.55 5.11071 Total(MT) 27,972.00 0.98585 4.03491 1.11 34.10276
Deviation Narrative: The FY17 target for this indicator is set at 190MT and the achieved for Q1 of FY17 is 34.10 MT, a 17.95% achievement of this target. Poor record keeping and report
0
5
10
15
20
25
Montserrado Bong Nimba Lofa
Volume (MT) of Ag Inputs Sold Q1
Seeds Fertilizers Chemicals
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account for this low achievement even if looked at from 25%. The LADA team will step up its work with beneficiary agribusinesses to strengthen their record keeping and financial reporting systems.
Data Quality Issues: Only data backed by source documents (receipts, invoices, etc) were used by the LADA team during the Q1 data collection for this indicator. Sale volumes made which were not recorded were not included and this could indicate underestimation.
Recommendations: Keep the indicator and maintain the targets as they are.
Indicator: Number of farmers trained on the importance and use of various agro-inputs
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 1.1.2 Output Location
(county); Sex, Age
0 8,500 20,000
Achievement: For Q1 of FY17, a total of 869 farmers including 450 males and 419 females were trained by LADA on the importance and use of agro-inputs. These farmers were from Bong County (237), Nimba County (212), Lofa County (203) and Montserrado County (217).
County Male Female Total Montserrado 113 104 217
Nimba 121 91 212 Bong 100 137 237 Lofa 116 87 203 Total 450 419 869
Deviation Narrative: There is currently no official quarterly target for this indicator. However, with the FY17 target set at 8,500 farmers, the Q1 achieved of 869 is at 10.2% with a deviation of 89.8%. With an approved plan for training SHFs and three more quarters left, LADA is confident of achieving the FY17 target for this indicator.
Data Quality Issues: No data quality issues observed. All LADA counties contributed to the data.
Recommendations: Maintain indicator and targets.
8,500
869
0
2,000
4,000
6,000
8,000
10,000
FY17 Target Q1 Achieved
Farmers Trained on Ag Inputs
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Indicator: Value (in USD) of sales of agricultural inputs
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 1.2.1 Outcome Location (county)
- $1,570,000 $7,200,000
Achievement: Among LADA-assisted agro-dealers, a total of US$147,174.99 worth of ago-inputs (including small machinery/equipment) was sold in Q1 of FY17. This is made up of US$7,203.73 of assorted plant seeds, US$24,525.27 of fertilizers, US$45,542.99 of agro-chemicals (pesticides, herbicides, etc) and US$69,903.00 of small machinery/equipment. By location, Bong County accounted for US$71,379.89 of total sales, Montserrado County US$63,808.00, followed by Nimba County with US$11,358.00 and then by Lofa with US$629.00.
Type Montserrado Bong Nimba Lofa Total (USD) Seeds 4,850 202.23 2,151.50 0 7,203.73
Fertilizers 18,400 1,189.57 4,420.70 515 24,525.27 Chemicals 40,558 272.09 4,598.90 114 45,542.99 Machinery 0 69,716 187 0 69,903.00
Total(USD) 63,808.00 71,379.89 11,358.10 629.00 147,174.99
Deviation Narrative: The FY17 target for this indicator is set at US$1,570,000.00 and the achieved for Q1 of FY17 is US$147,174.99, a 90.6% deviation from the FY17 annual target. With three more quarters to go and with the farming season beginning, the LADA team is confident of achieving the annual target for this indicator. Additionally, as LADA work with beneficiaries to develop their record keeping system, it is highly lightly that this target will be achieved.
Data Quality Issues: Only data backed by source documents (receipts, invoices, etc) were used by the LADA team during the Q1 data collection for this indicator. Sales made which were not recorded were not included and this could indicate underestimation. All LADA-assisted agro-dealers did not report data to this indicator for Q1.
Recommendations: Change the disaggregation category target VC to type (seeds, fertilizers, chemicals and small machinery).
Indicator: Number of for-profit private enterprises, producers organizations, water users associations,
women's groups, trade and business associations, and community-based organizations (CBOs) receiving
USG food security related organizational development assistance
Code Type Disaggregation Baseline FY17 Target LOA Target FTF 4.5.2(11) / EG.3.2-4
Output Type of organization; (farmers, government, extension workers,
0 55 210
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private sector firms, civil society), duration (new, cont.)
Achievement: In Q1 of FY17, LADA provided organizational development assistance to 15 for-profit enterprises in Nimba, Bong, Lofa and Montserrado Counties. This group was made up of 8 aggregators and 7 agro-inputs dealer businesses. A total of 11 of these enterprises were new while the rest were continuing.
County Private Sector Firms Total Agro-Input
Dealers Aggregators
Nimba 3 2 5 Montserrado 4 2 6 Bong 1 1 2 Lofa 0 2 2 Total 8 7 15
Deviation Narrative: LADA achieved only 15 (27.27%) of the indicator annual target of 55 for FY17. It was expected that LADA would provide CIF grants and technical assistance in post-harvest handling to 20 post-harvest handling enterprises and 30 agro-inputs dealer firms between FY16 and FY17. However, slow activity start-up and delayed approval of the CIF grant process meant that this was not possible, hence the deviation of 28% of the annual target for this indicator. With approval of the CIF grant process and LADA technical assistance teams in place, it is expected that the remaining target and those for out-years will be met.
Data Quality Issues: No data quality issue observed.
Recommendations: Keep indicator and maintain the targets.
Indicator: Value (in USD) of sales of processed food products
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 2.2 Outcome Value Chain;
Location (county) - $7,300,000 $40,500,000
Achievement: Among LADA-assisted aggregators, a total of US$74,790.05 worth of processed food products was sold in Q1 of FY17. This is made up of US$48,172.00 from rice, US$17,598.05 from cassava and cassava derivatives and US$9,020.00 from the horticulture value chain including vegetables. By location, Lofa County accounted for US$47,466.15, Montserrado County US$24,902.90 of total sales, followed by Nimba County with US$2,421.00. Data on this indicator from Bong County will be added to the Q2 report.
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55
0 20 40 60
Q1 FY17 …
FY17 TARGET
Q1 Achieved Vs FY17 Target
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Deviation Narrative: This indicator is reported semi-annually. At the end of Q2, FY17, complete data will be collected and reported at which time the deviation will be calculated and narrative given.
Data Quality Issues: The M&E team did not make use of submitted data not backed by sales records.
Recommendations: Maintain indicator and targets as they are.
Indicator: Number of aggregators and agribusinesses receiving LADA assistance in improved post-
harvest handling - storage, packing, transporting and marketing services
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 2.3 Output Location
(county); Age/Sex of business owner, value chain
0 50 120
Achievement: A total of 11 aggregator and agro-inputs manufacturing businesses received direct assistance in improved post-harvest handling from LADA in Q1 of FY17. These enterprises (4 aggregators and 7 agro-input dealer) were assisted with business and financial planning to get into the LADA CIF pipeline. 4 of the businesses are headed by men and 7 by a woman. The owner/heads are all above 36 years of age.
Deviation Narrative: It was expected that LADA would provide CIF grants and technical assistance in post-harvest handling to 20 post-harvest handling enterprises and 30 agro-inputs dealer firms between FY16 and FY17. However, slow activity start-up and delayed approval of the CIF grant process meant that this was not possible, hence the deviation of 28% of the annual target for this indicator. With approval of the CIF grant process and LADA technical assistance teams in place, it is expected that the remaining target and those for out-years will be met.
Data Quality Issues: No data quality issue observed.
Recommendations: Keep indicator and maintain the targets.
Indicator: DCA utilization rate (cumulative rate of all partner banks)
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 2.1.1 Outcome Utilization rate
from partner DCA banks
55% 65% 75%
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Achievement: For Q1 of FY17, the cumulative DCA utilization rate for all partner banks was unchanged from FY16 figure of 70%. For that period, the rates for Ecobank Liberia Ltd, International Bank Liberia Ltd and Afriland First Bank were 52%, 81% and 71% respectively.
Deviation Narrative: The DCA utilization rate remained unchanged because there were no loan disbursements under the DCA framework for October, November and December 2016.
Data Quality Issues: No data quality issue observed.
Recommendations: Maintain indicator and keep the targets unchanged.
Indicator: Number of individuals who have received short-term agricultural sector productivity or food
security training
Code Type Disaggregation Baseline FY17 Target LOA Target FTF 4.5.2(7) / EG.3.2-1
Output Type of individual (farmers, government, extension workers, private sector firms, civil); sex
- 9,600 23,250
Achievement: In Q1 of FY17, LADA provided short-term agricultural sector productivity training to 869 individuals made up of 431 males and 438 females. All of these were farmers; there were no agro-dealers or GoL staff trained on agricultural sector productivity during this period.
Deviation Narrative: There is currently no official quarterly target for this indicator. However, with the FY17 target set at 9600 individuals, the Q1 achieved of 869 is at 9% with a deviation of 91%. With an approved plan for training SHFs and three more quarters left, LADA is confident of achieving the FY17 target for this indicator.
Data Quality Issues: No data quality issue observed.
Recommendations: Maintain indicator and targets as they are.
0.00%
20.00%
40.00%
60.00%
80.00%
100.00%
International Bank (Liberia) Limited
Ecobank (Liberia )Limited
Afriland First Bank
DCA Utilization Rates
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Indicator: Number of loans distributed to cooperatives and individual entrepreneurs using DFS
channels
Code Type Disaggregation Baseline FY16 Target LOA Target LADA 3.1.1 Outcome Type (agro-
dealers, aggregators, SHFs)
- 225 1,740
Achievement: No achievement for Q1 of FY17.
Deviation Narrative: Work started on the Digital Financial Services (DFS) platform in FY16 with collaboration among targeted beneficiaries, local banks, telecommunications companies and LADA culminating in the signing of an MOU among the parties in September of 2016. However, no loans were distributed to beneficiary farmers, transporters and aggregators using DFS channels in Q1 of FY17. With USAID’s approval in Q1 of a Co-investment Fund grant which would make loans available to women farmers through a DFS platform, it is the expectation that the target for FY16 added to that of FY17 would be achieved.
Data Quality Issues: No data quality issue observed.
Recommendations: Maintain this indicator and test its utility in FY17.
Indicator: Number of farmers, transporters, aggregators using DFS for payments
Code Type Disaggregation Baseline FY17 Target LOA Target LADA 3.1.2 Outcome Type (agro-
dealers, aggregators, SHFs); Sex
- 200 1,250
Achievement: No achievement for Q1 of FY17.
Deviation Narrative: Work started on the Digital Financial Services (DFS) platform in FY16 with collaboration among targeted beneficiaries, local banks, telecommunications companies and LADA culminating in the signing of an MOU among the parties in September of 2016. However, beneficiary farmers, transporters and aggregators has not started using DFS for making payments or repaying loans acquired. With USAID’s approval in Q1 of a Co-investment Fund grant which would make loans available to women farmers through a DFS platform, it is the expectation that the target for FY16 added to that of FY17 would be achieved.
Data Quality Issues: No data quality issue observed.
Recommendations: Maintain this indicator and test its utility in FY17.
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Indicator Performance Tracking Table- FY17 The Indicator Performance Tracking Table below shows data collected and cumulated for Q1. Many of LADA’s indicators are collected and reported annually and for these, N/A (Not Applicable) is used to indicator this.
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LADA Indicator Performance Tracking Table – Q1 FY17
Code Indicator FY17 Target
FY17 Achieved Total % Achieved vs Target
Comment Q1 Q2 Q3 Q4 Cumulative
LADA 0.1
Average annual agricultural income of targeted smallholder farmers
$433.73 N/A Annual indicator
EG.3-1 Number of households benefiting directly from USG assistance under Feed the Future
3,500 N/A Annual indicator
EG.3.2-19
Value of small-holder incremental sales generated with USG assistance
$847K N/A Annual indicator
EG.3.2-21
Number of firms (excluding farms) or civil society organizations (CSOs) engaged in agricultural and food security-related manufacturing and services that have increased profits or become financially self-sufficient with USG assistance
30 N/A Annual indicator
EG.3.2-22
Value of new private sector capital investment in the agriculture sector or food chain leveraged by Feed the Future implementation
$2,890K N/A Annual indicator
EG.3-9 Number of full-time equivalent (FTE) jobs created with USG assistance
100 N/A Annual indicator
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Component One LADA 1.1
Value of new private sector investment in agricultural input systems leveraged by LADA implementation
$447K N/A Annual indicator
LADA 1.1.1
Volume (in tons) of agricultural inputs sold
190MT 34.1 34.1
LADA 1.1.2
Number of farmers trained on the importance and use of various agro-inputs
8,500 869 869
LADA 1.2.1
Value (in USD) of sales of agricultural inputs
$1.57M 147,174.99 147,174.99
EG.3.2-4
Number of for-profit private enterprises, producers organizations, water users associations, women's groups, trade and business associations, and community-based organizations (CBOs) receiving USG food security related organizational development assistance
55 15 15
EG.3.2-20
Number of for-profit private enterprises, producers’ groups, water users’ associations, women’s groups, trade/business associations and community-based organizations (CBOs) that applied improved organization-level technologies or management practices with USG assistance
25 N/A Annual indicator
Component Two
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LADA 2.1
Value of new private sector investment in post-harvest agribusinesses leveraged by LADA implementation
$2.443M N/A Annual indicator
LADA 2.2
Value (in USD) of sales of processed food products
$7.3M 74,790.05 74,790.05 Semi-annual indicator
LADA 2.3
Number of aggregators and agribusinesses receiving LADA assistance in improved post-harvest handling - storage, packing, transporting and marketing services
50 11 11
EG.3.2-6
Value of agricultural and rural loans as a result of USG assistance
$1,050K N/A Annual indicator
LADA 2.1.1
DCA utilization rate (cumulative rate of all partner banks)
65% 70% 70%
EG.3.2-3
Number of micro, small, and medium enterprises (MSMEs), including farmers, receiving agricultural-related credit as a result of USG assistance
325 N/A Annual indicator
LADA 2.1.2
Number of MSMEs, including farmers, receiving business development services from LADA- assisted sources
325 N/A Annual indicator
EG.3.2-17
Number of farmers and others who have applied improved technologies or management practices with USG assistance
5,732 N/A Annual indicator
18
EG.3.2-1
Number of individuals who have received short-term agricultural sector productivity or food security training
9,600 869 869
Component Three EG.3.1-12
Number of agricultural and nutritional enabling environment policies analyzed, consulted on, drafted or revised, approved and implemented with USG assistance
1 N/A Annual indicator
EG.3.2-5
Number of public-private partnerships formed as a result of USG assistance
3 N/A Annual indicator
LADA 3.1.1
Number of loans distributed to cooperatives and individual entrepreneurs using DFS channels
225 0 Quarterly indicator; no data for Q1
LADA 3.1.2
Number of farmers, transporters, aggregators using DFS for payments
200 0 Quarterly indicator; no data for Q1
LADA 3.2.1
Number of agricultural investments sourced through the Agribusiness Investment Network
3 N/A Annual indicator
Activity Implementation Tracker - FY17
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CompletedOngoing
Not Started
Feb Mar Apr May Jun Jul Aug Sep Status Comments
Begin LADA Activity Implementation XLADA was awarded December 9, 2015.
Implementation started February 2016.
Initial Survey of Aggregators and Dealers X BSC and CNFA did this initial surveying
Prepare BSC Monrovia for AIN Formation X XThis activity started with an OCA of BSC but
there has been little movement on this.
Selection of Aggregators, Agro-dealers X X Activity is ongoing.
Value Chain Focus Areas to GoL/USAID X X XLADA completed its part of this activity.
USAID is yet to approve other value chains
Capacity Devt. Aggregators/Agro-dealers X X X X X X XActivity started for agro-dealers not yet for
aggregators
DFS Mission of DFS (Enclude) X XDFS mission by Enclude was completed.
Follow-up activities on DFS are being done
Training of Trainers for BSC X XThis activity was not implemented. There
needs to be follow-up on this activity.
Selection of Cooperatives and SHF Groups X XSelection of cooperatives and SHF groups is
ongoing.
Support to USAID/DCA Banks X X X X XActivity not done. Clarity needed on nature
of the support to DCA banks.
Training + Certification of Agro-dealers X X X XFirst training was held in FY16. How many
more training required for certification?
Technical Demonstrations for SHF X X XNo technical training in output marketing
held for SHF in FY16.
Mechanization Training X X X
No mechanization training in use of hand-
held seeders and other farm-based services
done in FY16.
Modification of Existing CNFA policies XExisting CNFA policies were modified to
facilitate implementation of CIF.
Matching Grants (CIF) Manual Finalized X CIF grant manual has been finalized.
CIF EOI Finalized and Shared X XCIF EOI has been finalized and are being
shared
GCCA Cold Storage Recommendations to
USAID and GoLX X
Activity completed. Follow-up actions
required.
CIF Grant Applications Received X Activity ongoing
CIF Application Evaluation/Scoring X X X X X Activity ongoing
Site Visits and Assessment X X Activity ongoing
CIF Grants Awarded X X X X CIF grants were not awarded in FY16.
CIF Grant and TA Implementation X X XBy the end of FY16, CIF implmentation had
begun and is ongoing.
Monitoring of CIF Performance XActivity will commence after CIF
implementation
Cost Benefit Analysis Conducted XThe CBA will be done at the end of FY17 or
early FY18.
Form Agribusiness Investment Network X X X By end of FY16, the AIN had not been formed.
Establish AIN Membership Services X XBy end of FY16, the AIN membership had not
been established.
Credit Guarantee Scheme formation X XBy end of FY16, the LADA Credit Guarantee
Scheme had not been put in place.
DFS Follow-up from Enclude Mission X X X XThis is an ongoing activity. End product of
follow-up mission not stated.
Mobile Money Coordination launched X X XIt is not clear whether a mobile money
coordination was ever launched.
Market Info platform development XNot undertaken in FY16 due to removal of .
Action needed on this activity in FY17.
Value Chain investment packages XActivity tied in to AIN's formation and
investment promotion activities.
Finalize participation in MSME conf. XActivity expected to be finalized before
conference starte on Nov 15, 2016.
Public Policy Outreach Undertaken XNot undertaken in FY16. Action needed on
this activity in FY17.
Component 2: Increase private sector investment in post harvesting handling support, storage, packaging, transporting, marketing, and auxiliary services
Component 3: Strengthen facilitation, market information, advocacy, and support
Cultivating New Frontiers in Agriculture (CNFA)
Liberia Agribusiness Development Activity (LADA)Activity Implementation Tracker - FY16
LADA's Goal: Increase Agricultural Incomes of Smallholder Farmers through Increasing Private Sector Investment in the Liberian Agribusiness Sector
Component 1: Increase private sector investment in agricultural input supply systems