• 资源经济 •

### 山东省农户秸秆资源化利用绩效评价——基于三阶段DEA模型

1. 温州大学商学院,温州 325035
• 收稿日期:2020-04-11 修回日期:2021-05-01 出版日期:2021-05-25 发布日期:2021-07-25
• 作者简介:李国志,男,江西抚州人,博士,教授,研究方向为资源经济和区域经济。E-mail: ligz@sdut.edu.cn
• 基金资助:
国家社会科学基金重点项目(15AJY004);山东省自然科学基金项目(ZR2019MG024)

### Performance evaluation of farmers’ straw resource utilization in Shandong Province:Based on three-stage DEA model

LI Guozhi()

1. School of Business, Wenzhou University, Wenzhou 325035, China
• Received:2020-04-11 Revised:2021-05-01 Online:2021-05-25 Published:2021-07-25

Abstract:

Based on the straw resource utilization input-output data of 932 farmers in Shandong Province in 2018, this study evaluated the performance of straw resource utilization using three-stage data envelopment analysis (DEA) model. The study found that: (1) Before excluding the influence of external environment and random interference, the mean value of farmers’ comprehensive efficiency was 0.5422, the mean value of pure technical efficiency was 0.7048, and the mean value of scale efficiency was 0.7693. After excluding the influence of external environment and random interference, the mean value of farmers’ comprehensive efficiency was 0.5075, the mean value of pure technical efficiency was 0.9044, while the mean value of scale efficiency was 0.5611. The decrease of scale efficiency is the main reason for the decrease of comprehensive efficiency of farmers’ straw resource utilization. (2) There are some differences in the performance of farmers’ straw resource utilization between different regions. Before excluding the influence of external environment and random interference, the ranking of comprehensive efficiency of each region was Dezhou>Heze>Weifang>Liaocheng>Jining>Linyi. After excluding the influence of external environment and random interference, the ranking of comprehensive efficiency became Heze>Dezhou>Weifang>Liaocheng>Linyi>Jining. The performance of farmers’ straw resource utilization in Dezhou and Jining is more influenced by external environment and random disturbances. (3) The regression results of the stochastic frontier approach (SFA) model show that government technical training and financial subsidies, guidance from professional economic cooperatives, and farmers’ knowledge of straw resource utilization methods and technologies can significantly reduce the waste of farmers’ inputs such as direct production materials, labor, and human capital, and improve farmers’ performance of straw resource utilization. Overall, the performance of farmers’ straw resource utilization in the main straw-producing areas of Shandong Province is relatively low, and it can be improved by expanding the scale of straw utilization and improving the external environment such as technical training and financial subsidies.