乡村振兴战略背景下山西省县域农业生产效率分析——基于2015年长治市13县DEA模型分析
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摘要
农业生产效率提升是产业兴旺的支撑,是推进乡村振兴战略的基石。选取DEAC2R模型、1项产出指标和4项投入指标,运用Deap 2.1软件对长治市13个县(包含市区郊区)和长治市的农业生产效率进行定量分析。结果表明,长治市县域整体呈现规模报酬递减态势,仅市区和沁县位于生产前沿面上,其余县(区)都为DEA无效。从纯技术效率来看,襄垣县、屯留县、平顺县、黎城县、武乡县、潞城市技术效率小于1,其中,武乡县最为严重,技术效率仅为0.546;从投入产出冗余情况看,长治市县域农业产出均无冗余,襄垣县、屯留县、潞城市在农业机械总动力投入上存在明显冗余。对此提出以下建议:加速推进农业适度规模经营,加强农业机械与农业生产环境的匹配,加快先进农业技术及组织生产方式的推广,加大农业人才培养力度,优化农业产业结构。
The improvement of agricultural production efficiency is the support of the prosperity of the industry and the cornerstone of the strategy of promoting rural rejuvenation. This article selects DEAC2 R model, 1 measures of output, four input indicators, Deap 2.1 software is used to quantitatively analyze the agricultural production efficiency of 13 counties(including urban suburbs)in Changzhi and Changzhi city. The results show that the county area of Changzhi is diminishing returns of scale, and only urban and Qinxian are located on the front of production, and the rest of the county is invalid for DEA. From the perspective of pure technical efficiency, the technical efficiency is less than 1 in Xiangyuan, Tunliu, Pingshun, Licheng, Wuxiang county and Lucheng city, among them, Wuxiang county is the most serious and the technical efficiency is only 0.546. From the perspective of input-output redundancy, there is no redundancy in the agricultural output in Changzhi, and there is obvious redundancy in the total power input of agricultural machinery in Xiangyuan, Tunliu and Lucheng city. This article makes the following suggestions: accelerating the scale of agriculture, increasing the agricultural machinery and agricultural production environment, accelerating advanced agricultural technology promotion and organization mode of production,increasing cultivation strength of agricultural talent, optimizing the agricultural industry structure.
The improvement of agricultural production efficiency is the support of the prosperity of the industry and the cornerstone of the strategy of promoting rural rejuvenation. This article selects DEAC2 R model, 1 measures of output, four input indicators, Deap 2.1 software is used to quantitatively analyze the agricultural production efficiency of 13 counties(including urban suburbs)in Changzhi and Changzhi city. The results show that the county area of Changzhi is diminishing returns of scale, and only urban and Qinxian are located on the front of production, and the rest of the county is invalid for DEA. From the perspective of pure technical efficiency, the technical efficiency is less than 1 in Xiangyuan, Tunliu, Pingshun, Licheng, Wuxiang county and Lucheng city, among them, Wuxiang county is the most serious and the technical efficiency is only 0.546. From the perspective of input-output redundancy, there is no redundancy in the agricultural output in Changzhi, and there is obvious redundancy in the total power input of agricultural machinery in Xiangyuan, Tunliu and Lucheng city. This article makes the following suggestions: accelerating the scale of agriculture, increasing the agricultural machinery and agricultural production environment, accelerating advanced agricultural technology promotion and organization mode of production,increasing cultivation strength of agricultural talent, optimizing the agricultural industry structure.
引文
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[13]赵俊华,董平,范业龙.山西省县域农业生产效率时空演变[J].南京师大学报(自然科学版),2015,38(1):154-160.
[14]王兴华.山西农业生产效率分析:基于超效率DEA和Malmquist[J].山西农业大学学报(社会科学版),2016,15(9):659-664.
[15]魏权龄.评价相对有效性的数据包络分析模型:DEA和网络DEA[M].北京:中国人民大学出版社,2012.
[16]周曙东.农业技术经济学[M].北京:中国农业出版社,2012.
[17]田翠杰.基于DEA方法的天津农业技术效率分析[J].经济研究导刊,2011(23):80-82.
[18]李周,于法稳.西部地区农业生产效率的DEA分析[J].中国农村观察,2005(6):2-10.
[19]周晓时,李谷成,刘成.人力资本、耕地规模与农业生产效率[J].华中农业大学学报(社会科学版),2018(2):8-17.
[20]熊小林.聚焦乡村振兴战略探究农业农村现代化方略:“乡村振兴战略研讨会”会议综述[J].中国农村经济,2018(1):138-143.
[2]叶兴庆.新时代中国乡村振兴战略论纲[J].改革,2018(1):65-73.
[3]CHAMES A,COOPER W W,PHODES E.Easuring the efficiency of DMU[J].European Journal of Operational Research,1978,11(6):429-444.
[4]李美娟,陈国宏.数据包络分析法(DEA)的研究与应用[J].中国工程科学,2003,5(6):88-94.
[5]孟晓霞,曹洪军,焦勇.我国农业生产技术效率评价研究:基于修正的三阶段DEA模型[J].财经问题研究,2016(4):124-128.
[6]李谷成,冯中朝.中国农业全要素生产率增长:技术推进抑或效率驱动——一项基于随机前沿生产函数的行业比较研究[J].农业技术经济,2010(5):4-14.
[7]张乐,曹静.中国农业全要素生产率增长:配置效率变化的引入——基于随机前沿生产函数法的实证分析[J].中国农村经济,2013(3):4-15.
[8]陈卫平.中国农业生产率增长、技术进步与效率变化:1990—2003年[J].中国农村观察,2006(1):18-23.
[9]贺志亮,刘成玉.我国农业生产效率及效率影响因素研究:基于三阶段DEA模型的实证分析[J].农村经济,2015(6):48-51.
[10]赵春兰.基于DEA的四川省农业生产效率分析[J].经济论坛,2017(4):9-14.
[11]金梅.基于DEA模型的甘肃农业生产效率研究[J].兰州大学学报(社会科学版),2013,41(5):94-98.
[12]钱丽,肖仁桥,杨桂元.基于DEA模型的安徽省农业生产效率评价研究[J].工业技术经济,2010,29(10):121-126.
[13]赵俊华,董平,范业龙.山西省县域农业生产效率时空演变[J].南京师大学报(自然科学版),2015,38(1):154-160.
[14]王兴华.山西农业生产效率分析:基于超效率DEA和Malmquist[J].山西农业大学学报(社会科学版),2016,15(9):659-664.
[15]魏权龄.评价相对有效性的数据包络分析模型:DEA和网络DEA[M].北京:中国人民大学出版社,2012.
[16]周曙东.农业技术经济学[M].北京:中国农业出版社,2012.
[17]田翠杰.基于DEA方法的天津农业技术效率分析[J].经济研究导刊,2011(23):80-82.
[18]李周,于法稳.西部地区农业生产效率的DEA分析[J].中国农村观察,2005(6):2-10.
[19]周晓时,李谷成,刘成.人力资本、耕地规模与农业生产效率[J].华中农业大学学报(社会科学版),2018(2):8-17.
[20]熊小林.聚焦乡村振兴战略探究农业农村现代化方略:“乡村振兴战略研讨会”会议综述[J].中国农村经济,2018(1):138-143.