PERFORMANCE INDICATOR REFERENCE SHEET

FFPr RESULTS FRAMEWORK 2: Expanded Trade of Agricultural Products

FFPr 2.1: Increased Value Added to Post-Production Agricultural Products

FFPr 2.1.2: Increased Efficiency of Post-Production Processes

RAIN Indicator Ref. No. 17

CI-1: PROJECTED GREENHOUSE GAS EMISSIONS REDUCED OR AVOIDED FROM CSi AS A RESULT OF USDA ASSISTANCE

Indicator Definition:

CSi technology programming enables countries to accelerate their green transitions by increasing investments in zero-carbon and carbon-reduction technologies. This supports the overall goal of encouraging countries to achieve net-zero emissions by midcentury to avoid the worst impacts of climate change.

This indicator measures the cumulative projected greenhouse gas (GHG) emissions reduced, avoided and/or sequestered, in metric tons of CO2-equivalent, over the project period, starting at the time the CSi is adopted. It is acceptable to calculate the projected emissions reductions from standard tool such as IRRI Emissions Calculator and/or a combination of accessed CSi validated by academic institution assistance.

Relevant CSi technologies include any product, process, or infrastructure supported by USG assistance that is installed or adopted which can reduce, avoid or sequester greenhouse gas emissions.

The LOP target of this indicator is estimated based on the assumption that CSi technologies involving farm fertilizer reduction may contribute to 20% reduction of nitrogen intake. The estimated target is calculated for two commodities, namely, rice and cassava through the tool titled IRRI Emissions Calculator: GHG Mitigation in Rice - SECTOR (irri.org).

Note: This indicator was derived from EG 12-7 but customized using the IRRI Emissions Calculator. 

RATIONALE: Tracks CSi contribution (in rice and cassava) to greenhouse gas reduction efforts

INDICATOR CHARACTERISTICS

UNIT OF MEASURE:

Metric tons of CO2-equivalent (tCO2e)

INDICATOR LEVEL:

Outcome

DIRECTION OF CHANGE:

Higher is better

DISAGGREGATION: None

MORNITORING PLAN:

Data Collection:

• Method: RAIN will conduct annual Beneficiary-based Survey (BBS) surveys using probability sampling. RAIN in collaboration with partners and will create sample frame from active CSi users and store it in in-house software application for Winrock Management Information Systems (MIS). RAIN will use Kobo Toolbox for mobile data collection; Microsoft Structured Query Language (SQL) server for data storage and management; and MS Access for data cleaning.
• Data Source: Beneficiary-Based Survey, farm/firm records.

• When: BBS will be conducted annually and reporting to USDA in annual report. Data will be collected close to post-harvest to optimize recall. Routine monitoring data will be collected on an ongoing basis. Following establishment of the baseline, four BBS will be conducted during the Life of Project (LOP), as follows: 

• 1st BBS: Year 2, September 2024, to cover production and sales periods September 2023 – August 2024
• 2nd BBS: Year 3, September 2025, to cover production and sales periods September 2024 – August 2025. The second BBS may be done in conjunction with the midterm evaluation data collection.
• 3rd BBS: Year 4, September 2026, to cover production and sales periods September 2025 – August 2026
• 4th BBS: Year 4, June 2027, to cover production and sales periods September 2026 – June 2027. The 4th BBS may be done in conjunction with the final evaluation data collection.

• Who: Data will be collected by outsourced data collectors under the supervision of the MEL Manager.

Data Storage and Security

MEL team in collaboration with the program team will involve in:

• Conduct data validation during entry to reduce errors,
• Conduct geographic tracking for locations and administrative divisions using a geographic information system (GIS),
• Upload data to Winrock MIS,
•  Capture screenshots of the inputs used and associated output for the IRRI emissions calculator and archive the results on SharePoint,
• Data will be stored in a manner that protects it from loss, damage, or compromises in confidentiality. Hard copies (where applicable) will be kept locked cabinets and back-up electronic files in separate servers and external drive. Confidentiality is also important and access to evaluation data or materials will be limited to authorized users. Electronic files will be password protected and responses coded instead of labeled with personal identification and stored securely on cloud based Winrock servers. Data stored on secure servers within the MIS will be access-restricted with defined user rights.

Data Analysis and Use

• In Winrock MIS, RAIN will use Power BI for data visualization and analysis; and Winrock MEL Community of Practice for learning and dissemination.
• Users: To support adaptive management, data will be communicated with COP, MEL Manage, MEL Specialist, technical staff, USDA, beneficiary farmers, key stakeholders in public and private sector.

MEASUREMENT NOTE:

The estimate of tCO2e will be based on hectares-based data from the annual Beneficiary-Based Survey. There will be limitations with this approach because the IRRI Emission Calculators do not 100% overlap with potential CSi and crops. As of 2024, using the IRRI tool, RAIN will focus on capturing estimated emissions reductions from fertilizer use changes for two target commodities - cassava and rice. 

BASELINE INFO: Baseline is zero

DATA ENTRY IN FAIS:

The indicator title must be entered into the relevant performance reporting section of FAIS VERBATIM to allow for the information to be collected correctly.

RELATIONSHIP TO THE FEED THE FUTURE (FtF) INITIATIVE

FtF INDICATOR:

Not applicable

DEFINITIONAL AND MEASURMENT NOTES:

None

HOW TO APPLY:

Applicants should apply by emailing a cover letter and resume to rain.consultant@winrock.org by September 27, 2024. Please include “GHG Consultant” in the subject line of the email. Winrock would like to thank all applicants for their interest, but only short-listed candidates will be contacted.