中国农副食品加工业效率评价及分析——基于三阶段DEA模型的测算
|
摘要
随着国民经济发展,农副食品加工业总产值不断增加,也同时提出理论上分析其产值增长背后的效率结构、以促进其产业转型升级的要求。基于2009年农副食品加工业的细分行业数据,采用三阶段DEA模型对农副食品加工业的运行效率进行了测算。结果表明:利息支付额增加不利于改善农副食品加工业效率;出口交货值对效率的影响微乎其微;存货的增加有利于改善其效率。按照纯技术效率和规模效率,将17个细分行业分为四种类型,各行业的运行状况和发展的重点不同。宜结合自身的特点发挥优势,有侧重地提高管理水平或扩大生产规模,从而提高农副食品加工业的整体效率。
With the development of society and economy,the industrial output of the agro- food processing industry is increasing,we need to know the growth pattern and power,the industrial structure. In order to understand the development,this paper uses three- stage DEA model to empirical research on the agro- food processing industry efficiency in 2009. The results show that: the increase in interest payments is not conducive to improve the efficiency of the agro- food processing industry; export delivery value of efficiency is very small,even it can be ignored; Increase in inventories will help to improve efficiency. Points in accordance with the pure technical efficiency and scale efficiency,the 17 industry segments can be divided into four types,each industry has its own characteristics,they should focus on the improvement of management level or to expand the scale of production,thereby enhancing the efficiency of the agro- food processing industry.
With the development of society and economy,the industrial output of the agro- food processing industry is increasing,we need to know the growth pattern and power,the industrial structure. In order to understand the development,this paper uses three- stage DEA model to empirical research on the agro- food processing industry efficiency in 2009. The results show that: the increase in interest payments is not conducive to improve the efficiency of the agro- food processing industry; export delivery value of efficiency is very small,even it can be ignored; Increase in inventories will help to improve efficiency. Points in accordance with the pure technical efficiency and scale efficiency,the 17 industry segments can be divided into four types,each industry has its own characteristics,they should focus on the improvement of management level or to expand the scale of production,thereby enhancing the efficiency of the agro- food processing industry.
引文
[1]赵燃,骆乐等.中国农产品加工业技术效率、技术进步与生产增长[J].中国农村经济,2008,(4):24-32.
[2]王艳华,王军等.吉林省农产品加工业全要素生产率变动及其分解分析[J].农业技术经济,2010,(10):108-114.
[3]张莉侠,刘荣茂等.中国乳制品业全要素生产率变动分析[J].中国农村观察,2006,(6):2-8.
[4]郭军华,倪明等.基于三阶段DEA模型的农业生产率研究[J].数量经济技术经济研究,2010,(12):27-38.
[5]黄金波,周先波.中国粮食生产的技术效率与全要素生产率增长:1978-2008[J].南方经济,2010,(9):40-52.
[6]田伟,柳思维.中国农业技术效率的地区差异及收敛性分析——基于随机前沿分析方法[J].农业经济问题,2012,(12):11-18.
[7]曾国平,罗航艳,曾跃群.农业效率增进、技术进步区域差异及TFP分解[J].重庆大学学报(社会科学版),2012,18(4):1-8.
[8]Fried H.O.,Lovell C.A.K.,Schmidt S.S.,et al..Accounting f or Environmental Effects and Statistical Noise in Data Envelopment Analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174.
[9]Battese G.E.,T.J.Coelli.A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data[J].Empirical Economics,1995,20(2):325-332.
[10]Jondrow James,Knox Lovell C.A.,Ivan S.Materov,et al..On the Estimation of Technical Inefficiency in the Stochastic Frontier production Function Model[J].Journal of Econometrics,1982,19(2-3):233-238.
[11]Dennis J.Aigner,C.A.Knox Lovell,P.Schmidt.Formulation and Estimation of Stochastic Frontier Production Function Models[J].Journal of Econometrics,1977,6(1):21-37.
[12]Chen K.,Wang H.C.,Zhang Y.X.,et al..Productivity change in Chinese industry 1953-1985[J].Journal of Comparative Economics,1988,12(4):570-599.
[13]李小平,朱钟棣.中国工业行业的全要素生产率测算[J].管理世界,2005,(4):56-64.
[14]陈静,雷厉.中国制造业的生产率增长、技术进步与技术效率——基于DEA的实证分析[J].当代经济科学,2010,32(4):83-89.
[15]李鹏,曾光.我国农副食品加工业全要素生产率研究——基于17个细分行业数据[J].中国农业大学学报,2010,17(4):179-184.
[16]邓波,张学军,郭军华.基于三阶段DEA模型的区域生态效率研究[J].中国软科学,2011,(1):92-99.
[17]涂正革,肖耿.中国的工业生产力革命[J].经济研究,2005,(3):4-15.
[18]李胜文,李大胜.中国工业全要素生产率的波动1986-2005——基于细分行业的三投入随机前沿生产函数分析[J].数量经济技术经济研究,2008,(5):43-54.
[19]宫俊涛,孙林岩,李刚.中国制造业省际全要素生产率变动分析——基于非参数Malmquist指数方法[J].数量经济技术经济研究,2008,(4):97-130.
[20]沈能,潘雄峰.基于三阶段DEA模型的中国工业企业创新效率评价[J].数理统计与管理,2011,(9):846-855.
[21]Léopold Simar,Paul W.Wilson.Estimation and Inference in Two-stage,Semi-parametric Models of Production Processes[J].Journal of Econometrics,2007,136(1):31-64.
[2]王艳华,王军等.吉林省农产品加工业全要素生产率变动及其分解分析[J].农业技术经济,2010,(10):108-114.
[3]张莉侠,刘荣茂等.中国乳制品业全要素生产率变动分析[J].中国农村观察,2006,(6):2-8.
[4]郭军华,倪明等.基于三阶段DEA模型的农业生产率研究[J].数量经济技术经济研究,2010,(12):27-38.
[5]黄金波,周先波.中国粮食生产的技术效率与全要素生产率增长:1978-2008[J].南方经济,2010,(9):40-52.
[6]田伟,柳思维.中国农业技术效率的地区差异及收敛性分析——基于随机前沿分析方法[J].农业经济问题,2012,(12):11-18.
[7]曾国平,罗航艳,曾跃群.农业效率增进、技术进步区域差异及TFP分解[J].重庆大学学报(社会科学版),2012,18(4):1-8.
[8]Fried H.O.,Lovell C.A.K.,Schmidt S.S.,et al..Accounting f or Environmental Effects and Statistical Noise in Data Envelopment Analysis[J].Journal of Productivity Analysis,2002,17(1-2):157-174.
[9]Battese G.E.,T.J.Coelli.A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data[J].Empirical Economics,1995,20(2):325-332.
[10]Jondrow James,Knox Lovell C.A.,Ivan S.Materov,et al..On the Estimation of Technical Inefficiency in the Stochastic Frontier production Function Model[J].Journal of Econometrics,1982,19(2-3):233-238.
[11]Dennis J.Aigner,C.A.Knox Lovell,P.Schmidt.Formulation and Estimation of Stochastic Frontier Production Function Models[J].Journal of Econometrics,1977,6(1):21-37.
[12]Chen K.,Wang H.C.,Zhang Y.X.,et al..Productivity change in Chinese industry 1953-1985[J].Journal of Comparative Economics,1988,12(4):570-599.
[13]李小平,朱钟棣.中国工业行业的全要素生产率测算[J].管理世界,2005,(4):56-64.
[14]陈静,雷厉.中国制造业的生产率增长、技术进步与技术效率——基于DEA的实证分析[J].当代经济科学,2010,32(4):83-89.
[15]李鹏,曾光.我国农副食品加工业全要素生产率研究——基于17个细分行业数据[J].中国农业大学学报,2010,17(4):179-184.
[16]邓波,张学军,郭军华.基于三阶段DEA模型的区域生态效率研究[J].中国软科学,2011,(1):92-99.
[17]涂正革,肖耿.中国的工业生产力革命[J].经济研究,2005,(3):4-15.
[18]李胜文,李大胜.中国工业全要素生产率的波动1986-2005——基于细分行业的三投入随机前沿生产函数分析[J].数量经济技术经济研究,2008,(5):43-54.
[19]宫俊涛,孙林岩,李刚.中国制造业省际全要素生产率变动分析——基于非参数Malmquist指数方法[J].数量经济技术经济研究,2008,(4):97-130.
[20]沈能,潘雄峰.基于三阶段DEA模型的中国工业企业创新效率评价[J].数理统计与管理,2011,(9):846-855.
[21]Léopold Simar,Paul W.Wilson.Estimation and Inference in Two-stage,Semi-parametric Models of Production Processes[J].Journal of Econometrics,2007,136(1):31-64.