Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China
The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in...
| Autores principales: | , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2010
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/166051 |
Ejemplares similares: Assessing the impact of agricultural technology adoption on farmers' well-being using propensity-score matching analysis in rural China
- Farmers' adoption of improved upland rice technologies for sustainable mountain development in Southern Yunnan
- Does resource complementarity or prevention of lodging contribute to the increased productivity of rice varietal mixtures in Yunnan, China?
- Adoption and impact of tissue culture bananas in Burundi: an application of a propensity score matching approach
- Impact of the adoption of technological innovation on the credit acquisition of rice farmers in Senegal: A propensity score matching technique
- Impact assessment of agricultural research in West Africa: An application of the propensity score matching methodology
- Effect of Cost-Sharing Federal Programs on Adoption of Water Conservation Practices: Results from Propensity Score Matching Approach