lada fy17 q1 monitoring and evaluation report

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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.


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.


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.


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.


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.


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


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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


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


LADA 2.1.2

Number of MSMEs, including farmers, receiving business development services from LADA- assisted sources


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

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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


EG.3.2-5

Number of public-private partnerships formed as a result of USG assistance


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


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

lada fy17 q1 monitoring and evaluation report

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