粮食主产区农田水利投资绩效与政府干预效应分析<br/>——基于Malmquist-FGLS两阶段模型-《江苏农业科学》

参考文献/References:

［1］张培坚. 2亿人受灾［EB/OL］. (2014-01-09)［2015-02-22］. http：//www.chinanews. com/gn/2014/01-09/ 5718183. shtml.
［2］刘彦领. 2014年以来全国因旱灾造成直接经济总损失910亿元［EB/OL］. (2014-12-25)［2015-08-20］.http：//www.chinanews.com/gn/2014/12-25/6912507.shtml.
［3］Speelman S，DHaese M，Buysse J，et al. A measure for the efficiency of water use and its determinants，a case study of small-scale irrigation schemes in North-West Province，South Africa［J］. Agricultural Systems，2008，98(1)：31-39.
［4］Nsanzugwanko M D，Battese G E，Fleming E M. The technical efficiency of small agricultural producers in central Ethiopia，University of New England［R］. 1996.
［5］Binam J N，Sylla K，Diarra I，et al. Factors affecting technical efficiency among coffee farmers in Cte dIvoire：evidence from the Centre West region［J］. R&D Management，2003，15(1)：66-76.
［6］Abay C，Miran B，Gunden C. An analysis of input use efficiency in tobacco production with respect to sustainability：the case study of Turkey［J］. Journal of Sustainable Agriculture，2004，24(3)：123-143.
［7］Shafiq M，Rehman T. The extent of resource use inefficiencies in cotton production in Pakistans Punjab：an application of data envelopment analysis［J］. Agricultural Economics，2000，22(3)：321-330.
［8］Kaneko S，Tanaka K，Toyota T. Water efficiency of agricultural production in China：regional comparison from 1999 to 2002［J］. International Journal of Agricultural Resources，Governance and Ecology，2004，3(3/4)：231-251.
［9］Wang X Y. Irrigation water use efficiency of farmers and its determinants：evidence from a survey in Northwestern China［J］. Agricultural Sciences in China，2010，9(9)：1326-1337.
［10］华坚，祁智国，马殷琳. 基于超效率DEA的农村水利基础建设投入产出效率研究［J］. 经济问题探索，2013(8)：55-60.
［11］Ullah A，Perret S R. Technical- and environmental-efficiency analysis of irrigated cotton-cropping systems in Punjab，Pakistan using data envelopment analysis［J］. Environmental Management，2014，54(2)：288-300.
［12］Haji J. Production efficiency of smallholdersvegetable-dominated mixed farming system in Eastern Ethiopia：a non-parametric approach［J］. Journal of African Economies，2007，16(1)：1-27.
［13］Alene A D，Manyong V M，Gockowski J. The production efficiency of intercropping annual and perennial crops in southern Ethiopia：a comparison of distance functions and production frontiers［J］. Agricultural Systems，2006，91(1/2)：51-70.
［14］吴平，谭琼. 我国粮食主产区农田水利设施配置效率及区域差异分析——基于DEA和动态Malmquist指数的实证研究［J］. 农业现代化研究，2012，33(3)：331-335.
［15］Karagiannis G，Tzouvelekas V，Xepapadeas A. Measuring irrigation water efficiency with a stochastic production frontier［J］. Environmental and Resource Economics，2003，26(1)：57-72.
［16］Dhehibi B，Lachaal L，Elloumi M. Measuring irrigation water use efficiency using stochastic production frontier：an application on citrus producing farms in Tunisia［J］. African Journal of Agricultural and Resource Economics，2007，1(2)：1-15.
［17］何平均，刘睿. 基于DEA-Tobit模型的中国各地区农田水利基础设施投资绩效及影响因素分析［J］. 南方农村，2014(11)：59-64.
［18］张宁，陆文聪，董宏纪. 中国农田水利管理效率及其农户参与性机制研究——基于随机前沿面的实证分析［J］. 自然资源学报，2012，27(3)：353-363.
［19］Frija A，Wossink A，Buysse J，et al. Irrigation pricing policies and its impact on agricultural inputs demand in Tunisia：a DEA-based methodology［J］. Journal of Environmental Management，2011，92(9)：2109-2118.
［20］Guerrini A，Romano G，Campedelli B. Economies of scale，scope，and density in the Italian water sector：a Two-Stage data envelopment analysis approach［J］. Water Resources Management，2013，27(13)：4559-4578.
［21］Alsharif K，Feroz E H，Klemer A，et al. Governance of water supply systems in the Palestinian Territories：a data envelopment analysis approach to the management of water resources［J］. Journal of Environmental Management，2008，87(1)：80-94.
［22］Allan T. Productive efficiency and allocative efficiency：why better water management may not solve the problem［J］. Agricultural Water Management，1999，40(1)：71-75.
［23］Judge G G，Hill R C，Griffiths W E，et al. Introduction to theory and practice of econometrics［M］. New York：John Wiley&Sons，1988.

相似文献/References:

[1]刘腾谣,吴玲.我国粮食生产区域变化特征及影响因素分析[J].江苏农业科学,2016,44(04):548.
　Liu Tengyao,et al.Analysis of regional variation characteristics and influencing factors of Chinas grain production[J].Jiangsu Agricultural Sciences,2016,44(08):548.
[2]邢莹.中国省际粮食贸易中的虚拟水生态补偿——基于粮食净调出省(区)数据[J].江苏农业科学,2016,44(01):467.
　Xing Ying.Virtual water ecological compensation of Chinas provincial grain trade —Based on data of net exported provinces (autonomous regions)[J].Jiangsu Agricultural Sciences,2016,44(08):467.
[3]魏洪斌,吴克宁,赵华甫,等.我国两大粮食主产区耕地等别空间分布特征分析[J].江苏农业科学,2016,44(01):443.
　Wei Hongbin,et al.Analysis of spatial distribution characteristics of cultivated land quality gradation of Chinas two main grain production areas[J].Jiangsu Agricultural Sciences,2016,44(08):443.
[4]王娜,高瑛,金兴,等.粮食主产区农民收入结构区域差异分析[J].江苏农业科学,2017,45(02):289.
　Wang Na,et al.Regional difference analysis of farmers income structure in major grain producing areas[J].Jiangsu Agricultural Sciences,2017,45(08):289.
[5]宋振江,杨俊,李争.长江中下游粮食主产区耕地生态安全评价——基于省级面板数据[J].江苏农业科学,2017,45(20):290.
　Song Zhenjiang,et al.Study on ecological security evaluation of cultivated land of main grain production area in lower Yangtze region—Based on provincial panel data[J].Jiangsu Agricultural Sciences,2017,45(08):290.
[6]焦晋鹏.粮食主产区建立补偿机制的依据及保障措施[J].江苏农业科学,2017,45(20):337.
　Jiao Jinpeng.Basis and safeguard measures of establishing compensation mechanism in main grain producing areas[J].Jiangsu Agricultural Sciences,2017,45(08):337.
[7]沈方,郝瑞彬,尹力军,等.我国粮食主产区粮食生产变动贡献因素分解[J].江苏农业科学,2018,46(22):328.
　Shen Fang,et al.Decomposition of contributing factors for grain production changes in Chinas major grain producing areas[J].Jiangsu Agricultural Sciences,2018,46(08):328.
[8]曾志勇.粮食生产技术效率视角下耕地可持续利用的实证研究[J].江苏农业科学,2018,46(23):454.
　Zeng Zhiyong.The empirical study of sustainable utilization of cultivated land based on grain production technical efficiency perspective[J].Jiangsu Agricultural Sciences,2018,46(08):454.

《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

文章信息/Info

参考文献/References:

相似文献/References:

备注/Memo

常用功能

导航/Navigate

工具/Tools

统计/Statistics