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作 者:熊翅新[1] 欧阳梨花 蔡桂云[1] 姬钰[1] XIONG Chixin;OUYANG Lihua;CAI Guiyun;JI Yu(School of Economics and Management,Jiangxi Agricultural University,Nanchang 330045,China)
机构地区:[1]江西农业大学经济管理学院,江西南昌330045
出 处:《农林经济管理学报》2023年第4期497-506,共10页Journal of Agro-Forestry Economics and Management
基 金:国家社会科学基金一般项目(19BJY112);江西省高校人文社会科学研究项目(JJ18117)。
摘 要:基于2011—2021年江西省农业投入和产出的面板数据,运用DEA-Malmquist指数测算农业全要素生产率,采用fsQCA方法探究新型城镇化、贸易开放程度、财政支农、市场化、农村居民收入和要素禀赋结构等前因变量所构建的农业全要素生产率提升路径。结果表明:农业全要素生产率提升存在显著的地区差异;江西省农业全要素生产率主要有“城镇化+信息化+农村居民收入+农业要素禀赋结构”主导型、“城镇化+信息化+对外开放程度+农村居民收入”主导型、“能源消费结构+对外开放程度+农业要素禀赋结构”主导“财政支农+市场化程度”辅助型等三条提升路径。基于此,建议政府重点扶持农业全要素生产率增长缓慢的地区、制定多元化的支农政策、提高农民收入水平等以全面提升农业全要素生产率。Based on the panel data on agricultural inputs and outputs in Jiangxi province from 2011 to 2021,the DEA-Malmquist index was used to measure agricultural total factor productivity,and the fsQCA method was used to explore the path to enhance the total factor productivity of agriculture constructed by the antecedent variables of new urbanisation,trade openness,fiscal support for agriculture,marketisation,rural residents’income and factor endowment structure.The results shows that there exist significant regional differences in the increase of agricultural total factor productivity,and that the total factor productivity of agriculture in Jiangxi province is dominated by“urbanization+informatization+rural residents’income+agricultural factor endowment structure”,“urbanization+informatization+degree of openness to the outside world+rural residents’income”,“energy consumption structure+openness to the outside world”and“fiscal support for agriculture+degree of marketization”.Based on this,it is suggested that the government should focus on supporting regions with slow growth in agricultural total factor productivity,formulate diversified agricultural support policies,and raise farmers’income levels in order to comprehensively improve total factor productivity.
关 键 词:农业全要素生产率 DEA-MALMQUIST指数 fsQCA分析 提升路径
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