1. An example from the “Accelerated Food Security Project” in Tanzania
Data requirements
Model building
Output of the tool
Analysis of results
Discussion

2. DATA COLLECTION General project and area description Project title
Accelerated Food Security Project
Country
Tanzania
Project objectives
To contribute to higher food production and productivity in targeted areas by improving farmers’ access to critical agricultural inputs.
Relevant project component
Improving access to agricultural inputs (fertilizer and seeds)
Relevant project activities
Provision of input vouchers to a cumulative total of 2.5 million maize and rice producing farmers in 65 districts (Southern Highlands, Northern Highlands, and Western regions).
Benefiting farmers will obtain an input package consisting of 3 vouchers: Nitrogen (urea); Phosphorus/Nitrogen synthetic fertilizers; seeds (hybrid/open-pollinated maize and rice varieties).
Benefiting farmers will also improve agronomic and nutrient management and will abandon the practice of burning crop residues.
N.beneficiaries
2,5 million farmers (at full implementation)
Duration
Implementation phase: 7 years
Capitalization phase: 13 years
Climate
Tropical
Moisture regime
Moist

3. DATA COLLECTION Area cropped Input use
Maize total (conventional management)
Hectares
972,570
Maize conventional management, with project
260,100
Maize improved management, with project
712,470
Rice total (conventional management)
85,815
Rice conventional management, with project
22,950
Rice improved management, with project
62,865
Input use
Urea
Tons/year
83,820
Synthetic N fertilizers (maize)
12,824
Synthetic N fertilizers (non-upland rice)
2,263
Phosphorus synthetic fertilizer
38,557

4. 2. MODEL BUILDING
Maize – Definition of cropping patterns and area cropped
Rice – Definition of cropping patterns and area cropped

5. 2. MODEL BUILDING
Fertilizer use

6. 3. OUTPUT OF THE TOOL
Project C balance

7. 4. ANALYSIS OF RESULTS
Environmental benefits in terms of climate change mitigation (total C sequestered)
20.5 Mt of CO2eq.= 14 Mt (from maize) + 9 Mt (from rice). Project creates a C sink
Total economic C benefits
307.5 million US$ (at an average CO2eq. price of US$15/ton)
Sensitivity analysis: million US$ (at CO2eq. price of US$10 and US$10/ton respectively).
C “production” costs
Total project costs/total C benefits = million US$/20,5 Mt = 14.5 US$/t CO2eq.
Ratio Total benefits/total costs
Economic C benefits/Project costs = million US$/299.1 million US$ = 1.02
C sequestered/ha
20.5 Mt/775,335 ha = 26.4 t/ha
Extra-revenue (from C)/ha
396 US$/ha corresponding to19.8 US$/ha/year (at an average CO2eq. price of 15US$)
Average farm size
0.3 ha
C sequestered/farm
8.2 t
Average extra-revenue (from C)/farm
123 US$ corresponding to 6.15 US$/farm/year (at an average CO2eq. price of 15US$)

8. THANK YOU

9. 5. DISCUSSION
How to implement the outputs from EX-ACT into the economic analysis of projects?
Project-scale level: compute measures of project worth (e.g. NPV and IRR) with/without C benefits
Micro-scale level (e.g. hectare or farm): select economic indicators (e.g. farm-income)
How to proceed with pre-testing?
Desk work: use existing project docs
Field work
How to deal with peer-review and certification of the tool?