Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China
Summary. This study evaluates how efficiently Anhui Province allocates resources for green agricultural technology innovation. Using a three-stage data envelopment analysis model, researchers found that overall resource allocation efficiency improved over time, but scale efficiency remained low. Technical efficiency was strong across 16 cities, yet scale efficiency varied significantly by region. Hefei and Fuyang led in allocation efficiency. The study recommends improving scale efficiency through better government-market coordination, stronger research platforms, talent development, and open knowledge-sharing mechanisms.
Cite this article
Yao, S., & Wu, G.. (2022). Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph192013683
Yao, Sheng, and Guosong Wu. “Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China.” International Journal of Environmental Research and Public Health, 2022. https://doi.org/10.3390/ijerph192013683.
Yao, Sheng, and Guosong Wu. 2022. “Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China.” International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph192013683.
@article{yao-2022-research-efficiency-green-agricultural-science,
title = {Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China},
author = {Sheng Yao and Guosong Wu},
journal = {International Journal of Environmental Research and Public Health},
year = {2022},
doi = {10.3390/ijerph192013683},
url = {https://doi.org/10.3390/ijerph192013683}
}
TY - JOUR TI - Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China AU - Sheng Yao AU - Guosong Wu JO - International Journal of Environmental Research and Public Health PY - 2022 DO - 10.3390/ijerph192013683 UR - https://doi.org/10.3390/ijerph192013683 ER -
Details
- DOI
- 10.3390/ijerph192013683
- Countries
- China
- Regions
- Asia
- Categories
- agtech, policy, climate-and-environment
- Added
- 2026-04-28