Table 2 Summary of parameters for economic surplus analysis
From: Value chain financing and plantain production in Nigeria: an ex-ante approach
Variables | Value | Description | Source |
|---|---|---|---|
Base year | 2016 | The start year for simulation | Baseline data |
Simulated period (years) | 25 | Number of projected years | Baseline data |
Discount rate (%) | 15 | Derived from lending rate of ACGS | CBN |
Price Po (USD/ton) | 292 | Average price of plantain per ton | Baseline data |
Production Q0 (tons/year) | 54,665 | Average quantity of plantain in tons | Baseline data |
Consumption (tons/year) | 54,665 | Average quantity of plantain consumed | Baseline data |
Demand elasticity (É›) | 0.52 | Assumed for plantain | Author |
Supply elasticity (Æž) | 1 | Plantain supply elasticity | Alston et al. (1995) |
Annual crop growth rate (%) | 4 | Growth rate (2015–2016) | CBN (2016) |
Consumption growth rate C0Â (%) | 2.8 | Population growth rate used as proxy | UN (2015) |
Yield at present (Ton) | 13,500 | Yield at start of simulation | Baseline data |
Percentage yield increase (∆Y) | 18 | Percentage change in yield of plantain | Baseline data |
Innovation time lag (years) | 3 | Time frame for VCF implementation | WOCCU (2009) |
Adoption lag (years) | 5 | Time frame for adoption of VCF | Baseline data |
Maximum adoption level (%) | 50 | Projected maximum adoption level | Ayanwale et al. (2011) |
Minimum adoption level (%) | 10 | Estimated minimum adoption level | Akinola et al. (2009) |
Cost of VCF (USD) | 1.3 m | Estimated cost of deploying VCF | WOCCU (2009) |