Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains
We extend the nominal rate of protection (NRP) methodology to a value chain framework. We develop our methodology for three types of value chains: a new value chain created by policy, a value chain in which a by‐product is created in the processing of a commodity, and a value chain in which processi...
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
John Wiley & Sons
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/145409 |
| _version_ | 1855525184732135424 |
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| author | Tokgoz, Simla Majeed, Fahd |
| author_browse | Majeed, Fahd Tokgoz, Simla |
| author_facet | Tokgoz, Simla Majeed, Fahd |
| author_sort | Tokgoz, Simla |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We extend the nominal rate of protection (NRP) methodology to a value chain framework. We develop our methodology for three types of value chains: a new value chain created by policy, a value chain in which a by‐product is created in the processing of a commodity, and a value chain in which processing of a commodity generates new product(s). We consider two cases of value chains: when the commodity is tradable and when it is non‐tradable. The proposed indicator, value chain NRP, allows policy‐makers to see an aggregate measure of all policy impacts on all the commodities and products in the value chain, normalised at the farm level. We apply the methodology to selected value chains in India. Our results indicate that farmers are subsidised, but at different rates. Both sugarcane producers and sugar producers are protected, but sugar producers are protected at higher rates. Producers of downstream products such as ethanol and molasses are taxed, whereas the crushing industry is subsidised. We observe that there is increasing protection along the value chain from commodity to product for the oilseeds sector, whereas the picture is less clear for the sugarcane value chain. |
| format | Journal Article |
| id | CGSpace145409 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | John Wiley & Sons |
| publisherStr | John Wiley & Sons |
| record_format | dspace |
| spelling | CGSpace1454092025-02-24T06:47:26Z Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains Tokgoz, Simla Majeed, Fahd supply chains taxes agricultural policies oilseeds incentives subsidies sugar We extend the nominal rate of protection (NRP) methodology to a value chain framework. We develop our methodology for three types of value chains: a new value chain created by policy, a value chain in which a by‐product is created in the processing of a commodity, and a value chain in which processing of a commodity generates new product(s). We consider two cases of value chains: when the commodity is tradable and when it is non‐tradable. The proposed indicator, value chain NRP, allows policy‐makers to see an aggregate measure of all policy impacts on all the commodities and products in the value chain, normalised at the farm level. We apply the methodology to selected value chains in India. Our results indicate that farmers are subsidised, but at different rates. Both sugarcane producers and sugar producers are protected, but sugar producers are protected at higher rates. Producers of downstream products such as ethanol and molasses are taxed, whereas the crushing industry is subsidised. We observe that there is increasing protection along the value chain from commodity to product for the oilseeds sector, whereas the picture is less clear for the sugarcane value chain. 2019-06 2024-06-21T09:04:28Z 2024-06-21T09:04:28Z Journal Article https://hdl.handle.net/10568/145409 en http://purl.umn.edu/236087 https://doi.org/10.1111/rode.12664 Limited Access John Wiley & Sons Tokgoz, Simla; and Majeed, Fahd. 2019. Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains. Journal of Agricultural Economics 70 (2): 275-292. https://doi.org/10.1111/1477-9552.12305 |
| spellingShingle | supply chains taxes agricultural policies oilseeds incentives subsidies sugar Tokgoz, Simla Majeed, Fahd Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title | Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title_full | Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title_fullStr | Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title_full_unstemmed | Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title_short | Measuring distortions to agricultural incentives for value chain analysis: Evidence from Indian value chains |
| title_sort | measuring distortions to agricultural incentives for value chain analysis evidence from indian value chains |
| topic | supply chains taxes agricultural policies oilseeds incentives subsidies sugar |
| url | https://hdl.handle.net/10568/145409 |
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