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作 者:高涓 乔桂明[2] GAO Juan;QIAO Gui-ming
机构地区:[1]上海商学院商务经济学院,上海200235 [2]苏州大学商学院,江苏苏州215021
出 处:《苏州大学学报(哲学社会科学版)》2019年第6期103-111,200,共10页Journal of Soochow University(Philosophy & Social Science Edition)
摘 要:采用基于PM2.5非期望产出的Window-SBM超效率分析模型,进行三阶段DEA分析,研究2013-2016年间我国省级地方政府环保财政支出绩效。在剥离环境因素和随机因素后,效率评价明显改善,充分体现了地方政府的管理绩效。第二阶段SFA回归结果显示,国内专利申请授权量的提高使得投入松弛量增加,从而对于环保财政支出效率提高产生消极影响;城区面积和大城市比率两项指标的提高、第二产业增加值提高均产生相反的影响;从改进后的环保财政支出效率值的时间趋势来看,大部分地区实现了管理效能的提高,但是仍然有部分地区逆趋势,效率值不升反降。Using Window-SBM Super Efficiency model based on PM2.5 non-expected output and China’s provincial level data between 2013-20156,we adopt three-stage DEA method to study the fiscal expenditure efficiency of environmental protection. Having removed the random factors and external environment variables,the efficiency evaluation is improved obviously,which fully embodies the managing performance of the local government. The results of the second stage SFA regression show that the rising of authorized amount of domestic patent application increases the amount of input slack,thus negatively affects the efficiency. The improvement of urban area,big city ratio and added value of the second industry have the opposite effect. According to the time trend of the modified efficiency,most areas have enhanced the management efficiency,but there are still some reverse trends where the efficiency has dropped.
关 键 词:PM2.5 Window-SBM三阶段 环境保护财政支出效率
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