Performance Evaluation of Planting Insurance Premium Subsidies in China-Based on the dynamic DEA and the three stage DEA
Jinzheng Ren, Shisen Li
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.94How to use a DOI?
- planting insurance; performance evaluation of premium subsidies; DEA of three stage; dynamic DEA
- Using dynamic DEA and the three stage DEA method ,we evaluated the operating efficiency of the insurance premium subsidy funds in the provinces, municipalities and autonomous regions in China during 2008-2012. In the process ,we selected the 31 provinces, municipalities and autonomous regions as decision making unit (DMU) of the DEA model, and selected financial subsidies total and farmer individual capture to expend as input indicators, selected the insurance depth, insurance density, insurance and the proportion of crop reparations for as output indicators. Then, we can selected the rural household income, the average length of schooling of the rural household labor force and affected area as environmental variables. Results showed that 1) The environmental variables have a significant impact on the efficiency of subsidy, and should be studied by the method of the three stage DEA; 2) The efficiency of insurance premium subsidies for planting industry in all provinces is different; 3) Dynamic DEA calculation results show that the efficiency of the insurance premium subsidies in various provinces of the planting industry also has a significant difference. On the basis of these results, we give the relevant policy recommenda-tions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jinzheng Ren AU - Shisen Li PY - 2016/11 DA - 2016/11 TI - Performance Evaluation of Planting Insurance Premium Subsidies in China-Based on the dynamic DEA and the three stage DEA BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press SP - 583 EP - 588 SN - 1951-6851 UR - https://doi.org/10.2991/rac-16.2016.94 DO - https://doi.org/10.2991/rac-16.2016.94 ID - Ren2016/11 ER -