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基于熵权TOPSIS模型的耕地生态补偿政策绩效评价与关联分析——以浙江省开化县为例
引用本文:张艳彬,梁颖,耿槟,顾明哲,徐保根.基于熵权TOPSIS模型的耕地生态补偿政策绩效评价与关联分析——以浙江省开化县为例[J].浙江农业学报,2022,34(12):2800.
作者姓名:张艳彬  梁颖  耿槟  顾明哲  徐保根
作者单位:1.浙江省国土整治中心,浙江 杭州 3100072.浙江财经大学东方学院 工商管理学院,浙江 嘉兴 3144083.浙江财经大学 土地与城乡发展研究院,浙江 杭州 310018
基金项目:国家自然科学基金(41401624)
摘    要:研究耕地生态补偿政策绩效对耕地生态保护具有重要意义。该研究以浙江省开化县为研究区,构建县级耕地生态补偿政策绩效评价指标体系,使用熵权法评价2007—2020年开化县耕地生态补偿政策绩效,并通过灰色关联分析方法分析耕地生态补偿政策绩效的关键影响因素。研究表明,开化县耕地生态补偿政策综合绩效在2007—2020年总体呈上升趋势,虽在2009年和2013年出现短暂下跌,但很快继续上涨,2015年开始保持稳定平缓。农户耕地生态补偿积极性和农村居民人均年收入对耕地生态补偿政策综合绩效的影响较大。该研究结果说明耕地生态补偿政策发挥了较好的效果,有继续实施的必要性。本研究关于耕地生态补偿政策绩效的评价及关联分析,对完善和创新耕地生态补偿政策具有重要意义。

关 键 词:耕地生态补偿政策  绩效评价  熵权  关联度  
收稿时间:2021-07-05

Performance evaluation and correlational analysis of cultivated land ecological compensation policy based on entropy-weight TOPSIS method: taking Kaihua County,Zhejiang Province,China as an example
ZHANG Yanbin,LIANG Ying,GENG Bin,GU Mingzhe,XU Baogen.Performance evaluation and correlational analysis of cultivated land ecological compensation policy based on entropy-weight TOPSIS method: taking Kaihua County,Zhejiang Province,China as an example[J].Acta Agriculturae Zhejiangensis,2022,34(12):2800.
Authors:ZHANG Yanbin  LIANG Ying  GENG Bin  GU Mingzhe  XU Baogen
Institution:1. Zhejiang Provincial Land Consolidation Center, Hangzhou 310007, China
2. School of Business Administration, Zhejiang University of Finance & Economics Dongfang College, Jiaxing 314408, Zhejiang, China
3. Institute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, China
Abstract:It is of great significance to study the comprehensive performance of ecological compensation policy for cultivated land ecological protection. This paper took Kaihua County, Zhejiang Province as the research area and constructed the performance evaluation index system of ecological compensation policy at the county level. Then entropy-weighted (TOPSIS) method was used to evaluate the comprehensive performance of ecological compensation policies from 2007 to 2020 and grey correlational analysis was used to calculate the correlative degree between indicators and evaluation of comprehensive levels. It was found that the comprehensive performance of ecological compensation policy was uptrend from 2007 to 2020. Although there was a brief decline in 2009 and 2013, it soon continued to rise, and maintained steady growth after 2015. farmers' enthusiasm for ecological componsation of cultivated land and annual per capita income of rural residents had the greatest impact on performance evaluation. Empirical evidence showed that ecological compensation policies played a better effect, and it was necessary to continue to implement. The evaluation and correlation analysis of the comprehensive performance of ecological compensation policy in this study was of great significance to improve and innovate the cultivated land ecological compensation policy.
Keywords:farmland ecological compensation policy  performance appraisal  entropy-weight  correlation  
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