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长江经济带财政支农动态效率研究 被引量:1

Efficiency Evaluation and Influencing Factors of Financial Support for Agriculture in the Yangtze River Economic Belt
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摘要 利用长江经济带9省2市2008—2019年财政支农支出的面板数据,运用ML指数模型进行动态效率分析。结果表明:长江经济带财政支农支出效率总体呈下降态势,主要原因是技术衰退和投入规模不合理,其中重庆市、湖南省、江西省、上海市、江苏省和浙江省等存在农业技术衰退和投入规模不合理等多重问题。为推进长江经济带高质量发展实现乡村振兴,各地应当加大财政支农规模,优化支出结构,加强资金监管,从而促进长江经济带农业高质量发展。 This paper uses the panel data of financial expenditure on agriculture in 9 provinces and 2 cities of the Yangtze River Economic Belt from 2008 to 2019, and uses the ML index model to analyze the dynamic efficiency. The results show that the overall efficiency of financial expenditure on agriculture in the Yangtze River Economic Belt shows a downward trend, mainly due to the decline of technology and unreasonable investment scale, including Chongqing, Hunan, Jiangxi, Shanghai. There are many problems in Jiangsu Province and Zhejiang Province, such as the decline of agricultural technology and the unreasonable scale of investment. In order to promote the high-quality development of the Yangtze River Economic Belt and realize rural revitalization, all localities should increase the scale of financial support for agriculture, optimize the expenditure structure and strengthen fund supervision, so as to promote the high-quality development of agriculture in the Yangtze River Economic Belt.
作者 杨磊 余家凤 YANG Lei;YU Jia-feng(Hubei Rural Development Research Center of Yangtze University,Jingzhou,Hubei 434023;Economics and Management School of Yangtze University,Jingzhou,Hubei 434023)
出处 《安徽农业科学》 CAS 2022年第10期195-198,共4页 Journal of Anhui Agricultural Sciences
基金 教育部人文社会科学研究青年基金项目(19YJCZH190) 长江大学社科基金项目(2019sz06)。
关键词 财政支农 ML指数模型 长江经济带 Fiscal expenditure on agriculture ML index model Yangtze River Economic Belt
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