浙江省粮食生产效率实证研究
|
摘要
粮食历来是关系我国国计民生的大问题,改革开放以来浙江省农产品市场化在不断推进,农业产业结构也在不断调整,粮食生产效率也在发生变化。市场经济条件下,粮食生产效率是判断农业结构调整是否合理和是否发挥比较优势的重要依据。在以往的粮食生产效率研究中鲜有针对浙江省各地市的粮食生产全要素生产率动态研究,尤其缺乏浙江省地区之间的效率比较。本文使用数据包络分析方法,通过利用浙江省11个地市1987-2007年的面板数据计算粮食生产非参数Malmquist指数来测算全要素生产率,从技术效率和技术进步角度分解全要素生产率变化的原因,并使用基于BCC模型的投影分析对颇具代表性的四个地市进行了松弛变量分析。
结果表明,近20年来,浙江粮食生产效率整体水平在上升,结构调整中粮食生产水平得到了改善。从各区域来看,各区域应实行不同的粮食生产发展策略:浙北地区粮食生产效率优势明显,在浙江各区域中效率优势明显,而且处于上升趋势,应着力保证生产规模,作为保障粮食安全的重点地区大力发展粮食生产;浙东地区粮食生产效率优势不足,其粮食生产力是在技术、管理、规模三方面协调发展的基础上发展而来,是较为科学的发展方式,但根据其区域特点来看,不必强求保证粮食生产规模,更应注重提高生产效率;浙西南地区粮食生产效率处于劣势,该地区在新技术、新管理手段的应用上受到了制约,而在既有粮食生产技术的推广和管理手段应用上尚有优势,资源配置相对合理,应充分利用其区域资源发展特色农业。在2001年浙江全面开放粮食购销市场以前,各地区的粮食生产投入要素冗余度不高、差异不明显,而2001年后出现了大量的投入冗余,劳动力投入和粮食播种面积投入冗余度较高,劳动力投入冗余情况最为严重,说明人力资源和粮食播种面积成为了阻碍浙江省粮食生产效率进一步提高的重要原因。为此,应着力于劳动力转移和培训以及粮食生产土地质量的提高。
Grain is always constantly an important issue about national economy and the people's livelihood in China. Both agricultural industrial structure and grain production efficiency are changing in Zhejiang Province as the process of agricultural products marketization all over China. The grain production efficiency is the essential basis of estimating the agricultural structure adjustment and comparative advantages under the market economy condition. This study firstly calculates the total factor productivity of grain production based on the approach of non-parametric Malmquist Index with the panel data of 11 districts in Zhejiang Province during 1987-2007; Secondly, this study investigates the TFP changes from technical efficiency change and technical progress approach; In the final part of empirical analysis, this study applies slack variable analysis in four cross-sectional city based on out-oriented BCC model to find the best grain production input-output proportion
This study shows that the whole efficiency of grain production in Zhejiang Province has been rising and the production level has also been improving during the agricultural structure adjustment in recent two decades. Seeing from regional results, different agriculture development strategies should advised for three regions respectively. North Zhejiang has kept great comparative advantages and should be ensured of production scale to improve grain production for grain safety. East Zhejiang has not enough comparative advantage and its TFP increasing is originated from technology improvement, management innovation and appropetive production scale. In East Zhejiang, the focus is not to make every effort to insure grain production scale but to emphasize on improving production efficiency. Southwest Zhejiang has been totally at a disadvantage in grain production.and restricted by the application of new technology and management skill. But in Southwest Zhejiang, its grain production scale is appropriate and it still has the advantages in agricultural extension and existing management methods. According to this, Southwest Zhejiang should develop characteristic agriculture by takeing advantage of its special agricultural resources. Before the year of 2001 when Zhejiang comprehensive opened both grain buying and selling market, there is no significant difference with input redundancy in three regions. But after 2001, input redundancy appealed in large quantities, especially the labor force and land input. It shows that human resource and grain-sown area are the essential obstacles to further growth of the grain production efficiency in Zhejiang Province. Accordingly, the authority should not only focus on transfer and education of rural labor but also pay attention to improve the quality of lands for grain production.
结果表明,近20年来,浙江粮食生产效率整体水平在上升,结构调整中粮食生产水平得到了改善。从各区域来看,各区域应实行不同的粮食生产发展策略:浙北地区粮食生产效率优势明显,在浙江各区域中效率优势明显,而且处于上升趋势,应着力保证生产规模,作为保障粮食安全的重点地区大力发展粮食生产;浙东地区粮食生产效率优势不足,其粮食生产力是在技术、管理、规模三方面协调发展的基础上发展而来,是较为科学的发展方式,但根据其区域特点来看,不必强求保证粮食生产规模,更应注重提高生产效率;浙西南地区粮食生产效率处于劣势,该地区在新技术、新管理手段的应用上受到了制约,而在既有粮食生产技术的推广和管理手段应用上尚有优势,资源配置相对合理,应充分利用其区域资源发展特色农业。在2001年浙江全面开放粮食购销市场以前,各地区的粮食生产投入要素冗余度不高、差异不明显,而2001年后出现了大量的投入冗余,劳动力投入和粮食播种面积投入冗余度较高,劳动力投入冗余情况最为严重,说明人力资源和粮食播种面积成为了阻碍浙江省粮食生产效率进一步提高的重要原因。为此,应着力于劳动力转移和培训以及粮食生产土地质量的提高。
Grain is always constantly an important issue about national economy and the people's livelihood in China. Both agricultural industrial structure and grain production efficiency are changing in Zhejiang Province as the process of agricultural products marketization all over China. The grain production efficiency is the essential basis of estimating the agricultural structure adjustment and comparative advantages under the market economy condition. This study firstly calculates the total factor productivity of grain production based on the approach of non-parametric Malmquist Index with the panel data of 11 districts in Zhejiang Province during 1987-2007; Secondly, this study investigates the TFP changes from technical efficiency change and technical progress approach; In the final part of empirical analysis, this study applies slack variable analysis in four cross-sectional city based on out-oriented BCC model to find the best grain production input-output proportion
This study shows that the whole efficiency of grain production in Zhejiang Province has been rising and the production level has also been improving during the agricultural structure adjustment in recent two decades. Seeing from regional results, different agriculture development strategies should advised for three regions respectively. North Zhejiang has kept great comparative advantages and should be ensured of production scale to improve grain production for grain safety. East Zhejiang has not enough comparative advantage and its TFP increasing is originated from technology improvement, management innovation and appropetive production scale. In East Zhejiang, the focus is not to make every effort to insure grain production scale but to emphasize on improving production efficiency. Southwest Zhejiang has been totally at a disadvantage in grain production.and restricted by the application of new technology and management skill. But in Southwest Zhejiang, its grain production scale is appropriate and it still has the advantages in agricultural extension and existing management methods. According to this, Southwest Zhejiang should develop characteristic agriculture by takeing advantage of its special agricultural resources. Before the year of 2001 when Zhejiang comprehensive opened both grain buying and selling market, there is no significant difference with input redundancy in three regions. But after 2001, input redundancy appealed in large quantities, especially the labor force and land input. It shows that human resource and grain-sown area are the essential obstacles to further growth of the grain production efficiency in Zhejiang Province. Accordingly, the authority should not only focus on transfer and education of rural labor but also pay attention to improve the quality of lands for grain production.
引文
[1] Ada Wossink & Zulal, S. Denaux. Environmental and Cost Efficiency of Pesticide Use in Transgenic and Conventional Cotton Production. Agricultural Systems, 2006, 90(1-3), 312-328.
[2] Aigner, D.J., Lovell, C. A., Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 1977, 6, 21-37.
[3] Ali, A. & Seiford L. M. Computational Accuracy and Infinitesimals in Data Envelopment Analysis. INFOR, 1993, 31,290-297.
[4] Alston, J. M. & Pardey, P. G. Attribution and Other Problems in Assessing the Retunrs to Agricultural R&D. Agricultural Economics, 2001, 25, 141-152.
[5] Ball, V. E. & Norton, G. W. Agricultural Productivity: Measurement and Sources. Kluwer Academic Publishers, 2000, 9-293.
[6] Banker, R. D. & Maindiratta, A. Piecewise Log-Linear Estimation of Efficient Production Surface. Management Science, 1986, 32, 126-35.
[7] Banker, R. D. & Morey, R. C. Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research, 1986a, 34(4), 513-521.
[8] Banker, R. D. & Morey, R. C. The Use of Categorical Variables in Data Development Analysis. Management Science, 1986b, 32(12), 1613-1627.
[9] Banker, R. D. & Thrall, R. M. Estimating Most Productive Scale Size Using Data Envelopment Analysis. European Journal of Operational Research, 1992, 62, 74-84.
[10] Banker, R. D. Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research, 1984, 17(1), 35-44.
[11]Banker, R. D., Charnes, A., Schinnar, A.P. A Bi-external Principle for Frontier Estimation and Efficiency Evaluations. Management Science, 1981, 27(12), 1370-1382.
[12] Banker, R. D., Charnes, A., Cooper, W. W. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 1984, 30(9), 1078-1092.
[13]Battese, G. E. & Coelli, T. J. A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics, 1995, 20(2), 325-332.
[14]Birger Vennesland. Measuring Rural Economic Development in Norway Using Data Envelopment Analysis. Forest Policy and Economics, 2005, 7(1), 109-119.
[15]Bjurek, H., Hjalmarsson, L., Forsund, F. R. Deterministic Parametric and Nonparametric Estimation of Efficiency in Service Production. Journal of Econometrics, 1990,46, 213-227.
[16]Bremner, J. M. & Keeney, D. R. Determination and Isotope-Ratio Analysis of Different Forms of Nitrogen in Soils. Soil Science Society of America Journal, 1966, 30, 577-582.
[17] Caves D. W., Christensen L. R., Diewert W. E. The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity. Econometrica, 1982, 50(6), 1393-1414.
[18]Charnes, A., Cooper, W. W., Golany, B. Foundations of data envelopment analysis for pareto-koopmans efficient empirical production functions. Journal of Econometrics, 1985, 30(1), 91-107.
[19]Charnes, A., Cooper, W. W., Rhodes, E. Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, 2(6), 429-444.
[20]Charnes, A., Cooper, W. W., Seiford, L. M. Data Envelopment Analysis: Theory, Methodology and Application. Dordrecht Kluwer Academic, 1994.
[21] Chen, T. Y. & Yeh, T. L. A Study of Efficiency Evaluation in Taiwan's Banks. International Journal of Service Industry, 1998,9(5), 402-415.
[22]Cinemre, H. A., Ceyhan, V., Bozoglu, M., Demiryurek, K. & Kilic, O. The Cost Efficiency of Trout Farms in the Black Sea Region, Turkey. Aquaculture, 2005, 251(2-4), 324-332.
[23]Coelli, T. J., Rao, D. S. P., Battese, G. E. An Introduction to Efficiency and Productivity Analysis. New York: Spinger, 2005.
[24] Cooper, W. W., Seiford, L. M., Tone, K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Academic Publishers, 2007.
[25] Cooper, W. W., Seiford, L. M., Zhu, J. Handbook on Data Envelopment Analysis. Boston: Kluwer Academic Publishers, 2004.
[26] Costanza, R. The value of the world's ecosystem services and natural capital. Nature, 1997, 387, 253-260.
[27] Evan Kraft & Dogan Tirtiroglu. Bank Efficiency in Croatia: A Stochastic-Frontier Analysis. Journal of Comparative Economics, 1998, 26(2), 283-300.
[28] Fare, R. & Lovell, C. A. Measuring the Technical Efficiency of Production, Journal of Economic Theory. 1978, 19, 150-162.
[29] Fare, R., Grosskopf, C. A., Lovell, K. Production frontiers. Cambridge University Press, 1994.
[30] Fare, R., Grosskopf, S., Norris, M., Zhang, Z. Productivity Growth, Technical Progress and Efficiency Changes in Industrialized Countries. American Economic Review, 1994, 84, 66-83.
[31]Farrell, M. J. & Fieldhouse, Estimating Efficient Production Functions Under Increasing Returns to Scale. 1962, Series A, 120(3), 253-281.
[32]Farrell, M. J. The Measurement of Productive Efficiency, Journal of the Royal Statistical Society. 1957, 120(3), 253-281.
[33]Finkler, M. D. & Wirtschafter, D. D. Cost-effectiveness and Data Envelopment Analysis. Health Care Management Review, 1993, 18(3), 81-88.
[34]Golany, B. & Roll Y. An Application Procedure for DEA. OMEGA, 1989, 17, 237-250.
[35]Gopinath, M. & Kennedy, P. L. Agricultural Trade and Productivity Growth: A State-level Analysis. American Journal of Agricultural Economies, 2000, 82(5), 1213-1218.
[36] Hang, S., Jaska, P., Semple, J. Assessing the Relative Efficiency of Agricultural Production Units in the Blackland Prairies, Texas. Applied Economics, 1992, 24(5), 559-565.
[37]Helfand, M., Steven, & Edward, S. Farm Size and the Determinants of Productive efficiency in the Brazilian Center-West. Agricultural Economics, 2003, 31, 241-249
[38]Huffman, W. E. & Evenson, C. A. Setting Efficient Incentives for Agricultural Research: Convergence in U.S. Productivity Growth for Agricultural. American Journal of Agricultural Economics, 1993, 34, 251-264.
[39]Ishaq Nadiri, M. Some Approaches to the Theory and Measurement of Total Factor Productivity: A Survey. Journal of Economic Literature, 1970, 8(4), 1137-1177.
[40]Kaplan, R. S. & Norton, D. P. The Balanced Scorecard: Measures that drive performance. Harvard Business Review, 1992, January-February, 71-79.
[41]Karagiannis, G. & Mergos G. Total Factor Productivity Growth and Technical Change in Profit Function Framework. Journal of Productivity Analysis, 2000, 14(1), 31-35.
[42]Kumbhakar, S. C. & Lovell, C. A. Stochastic Frontier Analysis. Cambridge: Cambridge University Press, 2003.
[43] Lewin, A. Y., Arie, Y., John W. M. Determining Organizational Effectiveness: Another Look and an Agenda for Research. Management Science, 1986, 32, 514-537.
[44]Lewin, A. Y., Morey R. C., Cook T. J. Evaluating the Administrative Efficiency of Courts. OMEGA, 1982, 4(10), 401-411.
[45]Makki Shiva, Luther S., Tweeten, G., Cameron, S. T. Investing in Research and Education versus Commodity Programs: Implications for Agricultural Productivity. Journal of Productivity Analysis, 1999, 12, 77-94.
[46] Martinez R. & Tadeo A. J. Analysing Farming Systems with Data Envelopment Analysis: Citrus Farming in Spain. Agricultural Systems, 2004, 82(1), 17-30
[47]McMullen, P. & Strong, R. Selection of Mutual Funds Using Data Envelopment Analysis. The Journal of Business and Economic Studies, 1998, 4(1), 1-12.
[48]MeCunn, A. L. & Huffman, W. E. Convergence in U.S. Productivity Growth for Agricultural: 19 Implications of Interstate Research Spillovers for Funding Agricultural Research.American Journal of Agricultural Economics,2000,82,370-388.
[49]Pratt,A.N.,Yu Bingxin,Fan Shenggen.The Total Factor Productivity in China and India:New Measures and Approaches.China Agricultural Economic Review,2009,1(1),9-22.
[50]Ray,R.C.& Desli,E.Productivity Growth,Technical Progress,and Efficiency Change in Industrialized Countries.American Economic Review,1997,87(5),1033-1039.
[51]Robert,O.Edmister.An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction.The Journal of Financial and Quantitative Analysis,1972,7(2),1477-1493.
[52]Shephard,R.W.Theory of Cost and Production Function.Princeton,New Jersey:Princeton University Press,1970.
[53]Solow,R.M.Technical Change and the Aggregate Production Function Review of Economics and Statistics,1957,37(3),312-330.
[54]Sueyoshi,T.Estimation of Stochastic Frontier Cost Function Using Data Envelopment Analysis:An Application to the AT&T Divestiture.The Journal of Operational Research Society.1991,42(6),463-477.
[55]Tone,K.A Slacks-Based Measure of Efficiency in Data Envelopment Analysis,European Journal of Operational Research.2001,130,498-509.
[56]Tone,K.,A Slacks-Based Measure of Super-Efficiency in Data Envelopment Analysis,European Journal Operational Research.2002,143,32-41.
[57]Valdmanis,V.Sensitivity Analysis for DEA Models:An Empirical Example Using Public versus NFP Hospitals.Journal of Public Economics,1992,48(2),185-205.
[58]White,H.A Heteroskedasticity Consistent Covariance Matrix Estimator and a Direct Test of Heteroskedasticity.Econometrica,1982,48,817-834.
[59]William,O.C.Essentials of Health Care Fiance.Ohio:Aspen Publishers,Inc.,1992,134-155.
[60]Wu,Y.Technical Efficiency in the Chinese Irion and Steel industry.International Review of Applied Economics,1996,102,235-248.
[61]陈聪道.确保浙江粮食安全.今日浙江,2008,24,44-45.
[62]陈恒,陈伟.基于DEA中外跨国公司研发效率比较分析.科技进步与对策,2006(8),7-9.
[63]陈通,王伟.基于平衡记分卡在政府绩效评估中应用的研究.三峡大学学报:人文社科版,2005,27(4),75-78.
[64]陈治亚,程清波,陈维亚.平衡记分卡和层次分析法在我国物流配送绩效评估中的应用研究.物流科技,2007,30(1),70-74.
[65]德布拉吉·瑞.发展经济学.北京,北京大学出版社,2002,1-30.
[66]丁贤劫,王成祥.浙江省粮食安全问题的战略性对策.浙江农业科学,2004(3),109-111.
[67]费景汉,古斯塔夫·拉尼斯.增长和发展:演进的观点.北京:商务印书馆,2004,4-5.
[68]郭淑敏,马帅,陈印军:我国粮食主产区粮食生产态势与发展对策研究.农业现代化研究,2006,27(1),1-6.
[69]何新安,熊启泉,刘莹丰.1993-2005年广东农业生产率的变动与分解.南方经济,2009,2,69-80.
[70]洪海玲.以资料包络分析法作制造业之营运效率分析.硕士学位论文:台湾国立成功大学,2001.
[71]胡永宏,贺思辉.综合评价方法.北京:科学出版社,2000.
[72]黄利军,胡同泽.基于数据包络法的中国西部地区农业生产效率分析.农业现代化研究,2006(11),420-423.
[73]黄雪萍.粮食生产绩效评估及政策建议.产业与科技论坛,2007,6(8),92-94.
[74]纪国成.浙江粮食生产与消费现状及发展对策.浙江农业科学,2004,1,1-18.
[75]李京文,钟学义.中国生产率分析前沿.社会科学文献出版社,1998,10.
[76]李美娟,陈国宏,数据包络分析法(DEA)的研究与应用.中国工程科学,2006,6,88-94.
[77]李爽爽,赵郁.用财务比率分析法探寻薄利多销策略.冶金财会,2004,4,33-34.
[78]李小平,朱钟棣.中国工业行业的全要素生产率测算.管理世界,2005,4,56-64
[79]李周,于法稳.西部地区农业生产效率的DEA分析.中国农村观察,2005(6),2-10.
[80]梁流涛,曲福田,王春华.基于DEA方法的耕地利用效率分析.长江流域资源与环境,2008,17(2),242-245.
[81]刘大为,马文成,赵勃等.DEA方法在农业生产效率综合评价中的应用.农业与技术,2005(4),157-161.
[82]刘李峰,武拉平,陈伟红.“粮改”对粮食生产和农民收入影响的实证分析.新疆农垦经济,2007,5,17-22.
[83]刘祥熹,林嘉玲.台电公司及其各区营业处理经营绩效之讨论,公营事业评论,2000,2(1),75-124
[84]刘雪妮,刘雪梅,席晓宇.基于Malmquist指数的农业生产效率分析.价值工程,2008(6),20-22.
[85]龙子泉,高伟.供应链绩效评估的基准平衡记分卡法.物流技术,2004,5,52-54.
[86]马文杰,冯朝中.中国粮食生产影响因素分析.陕西农业科学,2008(1),163-166.
[87]孟令杰,顾焕章.度量生产率变化的非参数方法.数量经济技术经济研究,2001,2,34-40
[88]潘越,戴亦一.抵借价值比率分析法:对抵押贷款条件下收益还原法缺陷的改进与应用.当代财经,2003,11,26-30.
[89]庞英,李树超等.中国粮食生产资源配置效率及其区域差异.经济地理,2008,28(1),113-116.
[90]乔世君.中国粮食生产技术效率的实证研究.数理统计与管理,2004,23(3),11-16.
[91]沈锡权.温州通过创新耕地流转模式稳定粮食生产.福建党史月刊,2008,11,43-44.
[92]施孟隆,黄炳文.台湾各县市农业技术效率与生产力变动之研究.林业学报,2004,53(2),185-196.
[93]苏旭霞,王秀清.农用地细碎化与农户粮食生产:以山东省莱西市为例的分析.中国农村观察,2002,3,22-28.
[94]孙巍.生产投入可处置性测度理论及其非参数方法的应用研究.数量经济技术经济研究,1999,2,72-78.
[95]孙逊.资料包络分析法理论与应用.台北:扬智文化,2004,194-197.
[96]汪旭辉,刘勇.基于DEA模型的我国农业生产效率综合评价.河北经贸大学学报,2008,29(1),53-59.
[97]王坚强.模糊多准则决策方法研究综述.控制与决策,2008,23(6),601-606.
[98]王岩明,周全.论企业业绩评价的平衡记分卡法数量.经济技术经济研究,2003,2,96-99.
[99]王跃梅.浙江粮食市场化与粮食安全研究.硕士学位论文,浙江大学,2004.
[100]魏权龄.评价相对有效性的DEA方法.北京:中国人民大学出版社,1988.
[101]魏权龄.数据包络分析.科学通报,2000,17,1793-1807.
[102]魏权龄.数量经济学.北京:中国人民大学出版社,1998,304-341.
[103]吴福象.参数与非参数前沿方法在生产率效率测度中的应用.数理统计与管理,2005,5,1-6.
[104]西奥多·舒尔茨.改造传统农业.北京:商务印书馆,1987,1-153.
[105]肖浩永,周叔扬.关于宁波市粮食生产与粮食安全的调研.宁波农业科技,2007,4,12-14
[106]谢千里,罗斯基,张轶凡.中国工业生产率的增长与收敛.经济学,2008,7(3)809-826.
[107]徐琼.基于DEA模型的技术效率实证分析宁波大学学报(理工版).2005,18(2),215-518.
[108]许美玉.台湾地区农作物生产效率之评估.台北:2004年财经学术研讨会
[109]闫彦.电力企业全要素生产率的回归分析.工业技术经济,2003,22(4),81-84.
[110]严力蛟,汪自强等.浙江省农业产业结构调整的现状与对策.浙江大学学报,2002,28(2),231-236.
[111]颜鹏飞,王兵.技术效率、技术进步与生产率增长:基于DEA的实证分析.经济研究,2004,12,55-65.
[112]杨志斌.浙江省农业结构调整与粮食安全的探讨.浙江农业科学,2002(4),155-158.
[113]易纲,樊纲,李岩.关于中国经济增长与全要素生产率的理论思考,经济研究,2003,8,47-56.
[114]余修斌,程连.前沿生产函数与企业技术非效率的测算:西安飞机制造公司的实例测算.统计研究,2000,5,44-48.
[115]张军,施少华.中国经济全要素生产率变动:1952-1998.世界经济文汇,2003,2,17-24.
[116]张宁,陆文聪.中国农村劳动力素质对农业效率影响的实证分析.农业技术经济,2006,2,74-80.
[117]张倩肖.外商直接投资、市场竞争及对我国制造业的技术外溢效应:基于随机前沿生产函数的分析.经济学家,2007,3.23-29.
[118]张永霞.中国农业生产率及实证研究.博士学位论文,中国农业科学院,2006.
[119]章仁田.前沿生产函数的模拟方法与农业应用探讨.科技通报,1994,10(3),147-152.
[120]赵家章,胡碧玉.技术进步与中国经济增长:基于全要素生产率的实证研究.开发研究,2005,6,59-62.
[121]赵伟明,鲁长根,杨新琴等.浙江省种植业结构调整的特点、经验和发展对策.浙江农业科学,2000,1,6-8.
[122]赵芝俊,张社梅.近20年中国农业技术进步贡献率的变动趋势.中国农村经济,2006,3,4-12.
[123]浙江省农业志.北京:中华书局.2005,230&278-283.
[2] Aigner, D.J., Lovell, C. A., Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 1977, 6, 21-37.
[3] Ali, A. & Seiford L. M. Computational Accuracy and Infinitesimals in Data Envelopment Analysis. INFOR, 1993, 31,290-297.
[4] Alston, J. M. & Pardey, P. G. Attribution and Other Problems in Assessing the Retunrs to Agricultural R&D. Agricultural Economics, 2001, 25, 141-152.
[5] Ball, V. E. & Norton, G. W. Agricultural Productivity: Measurement and Sources. Kluwer Academic Publishers, 2000, 9-293.
[6] Banker, R. D. & Maindiratta, A. Piecewise Log-Linear Estimation of Efficient Production Surface. Management Science, 1986, 32, 126-35.
[7] Banker, R. D. & Morey, R. C. Efficiency Analysis for Exogenously Fixed Inputs and Outputs. Operations Research, 1986a, 34(4), 513-521.
[8] Banker, R. D. & Morey, R. C. The Use of Categorical Variables in Data Development Analysis. Management Science, 1986b, 32(12), 1613-1627.
[9] Banker, R. D. & Thrall, R. M. Estimating Most Productive Scale Size Using Data Envelopment Analysis. European Journal of Operational Research, 1992, 62, 74-84.
[10] Banker, R. D. Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research, 1984, 17(1), 35-44.
[11]Banker, R. D., Charnes, A., Schinnar, A.P. A Bi-external Principle for Frontier Estimation and Efficiency Evaluations. Management Science, 1981, 27(12), 1370-1382.
[12] Banker, R. D., Charnes, A., Cooper, W. W. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 1984, 30(9), 1078-1092.
[13]Battese, G. E. & Coelli, T. J. A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Empirical Economics, 1995, 20(2), 325-332.
[14]Birger Vennesland. Measuring Rural Economic Development in Norway Using Data Envelopment Analysis. Forest Policy and Economics, 2005, 7(1), 109-119.
[15]Bjurek, H., Hjalmarsson, L., Forsund, F. R. Deterministic Parametric and Nonparametric Estimation of Efficiency in Service Production. Journal of Econometrics, 1990,46, 213-227.
[16]Bremner, J. M. & Keeney, D. R. Determination and Isotope-Ratio Analysis of Different Forms of Nitrogen in Soils. Soil Science Society of America Journal, 1966, 30, 577-582.
[17] Caves D. W., Christensen L. R., Diewert W. E. The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity. Econometrica, 1982, 50(6), 1393-1414.
[18]Charnes, A., Cooper, W. W., Golany, B. Foundations of data envelopment analysis for pareto-koopmans efficient empirical production functions. Journal of Econometrics, 1985, 30(1), 91-107.
[19]Charnes, A., Cooper, W. W., Rhodes, E. Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, 2(6), 429-444.
[20]Charnes, A., Cooper, W. W., Seiford, L. M. Data Envelopment Analysis: Theory, Methodology and Application. Dordrecht Kluwer Academic, 1994.
[21] Chen, T. Y. & Yeh, T. L. A Study of Efficiency Evaluation in Taiwan's Banks. International Journal of Service Industry, 1998,9(5), 402-415.
[22]Cinemre, H. A., Ceyhan, V., Bozoglu, M., Demiryurek, K. & Kilic, O. The Cost Efficiency of Trout Farms in the Black Sea Region, Turkey. Aquaculture, 2005, 251(2-4), 324-332.
[23]Coelli, T. J., Rao, D. S. P., Battese, G. E. An Introduction to Efficiency and Productivity Analysis. New York: Spinger, 2005.
[24] Cooper, W. W., Seiford, L. M., Tone, K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Boston: Kluwer Academic Publishers, 2007.
[25] Cooper, W. W., Seiford, L. M., Zhu, J. Handbook on Data Envelopment Analysis. Boston: Kluwer Academic Publishers, 2004.
[26] Costanza, R. The value of the world's ecosystem services and natural capital. Nature, 1997, 387, 253-260.
[27] Evan Kraft & Dogan Tirtiroglu. Bank Efficiency in Croatia: A Stochastic-Frontier Analysis. Journal of Comparative Economics, 1998, 26(2), 283-300.
[28] Fare, R. & Lovell, C. A. Measuring the Technical Efficiency of Production, Journal of Economic Theory. 1978, 19, 150-162.
[29] Fare, R., Grosskopf, C. A., Lovell, K. Production frontiers. Cambridge University Press, 1994.
[30] Fare, R., Grosskopf, S., Norris, M., Zhang, Z. Productivity Growth, Technical Progress and Efficiency Changes in Industrialized Countries. American Economic Review, 1994, 84, 66-83.
[31]Farrell, M. J. & Fieldhouse, Estimating Efficient Production Functions Under Increasing Returns to Scale. 1962, Series A, 120(3), 253-281.
[32]Farrell, M. J. The Measurement of Productive Efficiency, Journal of the Royal Statistical Society. 1957, 120(3), 253-281.
[33]Finkler, M. D. & Wirtschafter, D. D. Cost-effectiveness and Data Envelopment Analysis. Health Care Management Review, 1993, 18(3), 81-88.
[34]Golany, B. & Roll Y. An Application Procedure for DEA. OMEGA, 1989, 17, 237-250.
[35]Gopinath, M. & Kennedy, P. L. Agricultural Trade and Productivity Growth: A State-level Analysis. American Journal of Agricultural Economies, 2000, 82(5), 1213-1218.
[36] Hang, S., Jaska, P., Semple, J. Assessing the Relative Efficiency of Agricultural Production Units in the Blackland Prairies, Texas. Applied Economics, 1992, 24(5), 559-565.
[37]Helfand, M., Steven, & Edward, S. Farm Size and the Determinants of Productive efficiency in the Brazilian Center-West. Agricultural Economics, 2003, 31, 241-249
[38]Huffman, W. E. & Evenson, C. A. Setting Efficient Incentives for Agricultural Research: Convergence in U.S. Productivity Growth for Agricultural. American Journal of Agricultural Economics, 1993, 34, 251-264.
[39]Ishaq Nadiri, M. Some Approaches to the Theory and Measurement of Total Factor Productivity: A Survey. Journal of Economic Literature, 1970, 8(4), 1137-1177.
[40]Kaplan, R. S. & Norton, D. P. The Balanced Scorecard: Measures that drive performance. Harvard Business Review, 1992, January-February, 71-79.
[41]Karagiannis, G. & Mergos G. Total Factor Productivity Growth and Technical Change in Profit Function Framework. Journal of Productivity Analysis, 2000, 14(1), 31-35.
[42]Kumbhakar, S. C. & Lovell, C. A. Stochastic Frontier Analysis. Cambridge: Cambridge University Press, 2003.
[43] Lewin, A. Y., Arie, Y., John W. M. Determining Organizational Effectiveness: Another Look and an Agenda for Research. Management Science, 1986, 32, 514-537.
[44]Lewin, A. Y., Morey R. C., Cook T. J. Evaluating the Administrative Efficiency of Courts. OMEGA, 1982, 4(10), 401-411.
[45]Makki Shiva, Luther S., Tweeten, G., Cameron, S. T. Investing in Research and Education versus Commodity Programs: Implications for Agricultural Productivity. Journal of Productivity Analysis, 1999, 12, 77-94.
[46] Martinez R. & Tadeo A. J. Analysing Farming Systems with Data Envelopment Analysis: Citrus Farming in Spain. Agricultural Systems, 2004, 82(1), 17-30
[47]McMullen, P. & Strong, R. Selection of Mutual Funds Using Data Envelopment Analysis. The Journal of Business and Economic Studies, 1998, 4(1), 1-12.
[48]MeCunn, A. L. & Huffman, W. E. Convergence in U.S. Productivity Growth for Agricultural: 19 Implications of Interstate Research Spillovers for Funding Agricultural Research.American Journal of Agricultural Economics,2000,82,370-388.
[49]Pratt,A.N.,Yu Bingxin,Fan Shenggen.The Total Factor Productivity in China and India:New Measures and Approaches.China Agricultural Economic Review,2009,1(1),9-22.
[50]Ray,R.C.& Desli,E.Productivity Growth,Technical Progress,and Efficiency Change in Industrialized Countries.American Economic Review,1997,87(5),1033-1039.
[51]Robert,O.Edmister.An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction.The Journal of Financial and Quantitative Analysis,1972,7(2),1477-1493.
[52]Shephard,R.W.Theory of Cost and Production Function.Princeton,New Jersey:Princeton University Press,1970.
[53]Solow,R.M.Technical Change and the Aggregate Production Function Review of Economics and Statistics,1957,37(3),312-330.
[54]Sueyoshi,T.Estimation of Stochastic Frontier Cost Function Using Data Envelopment Analysis:An Application to the AT&T Divestiture.The Journal of Operational Research Society.1991,42(6),463-477.
[55]Tone,K.A Slacks-Based Measure of Efficiency in Data Envelopment Analysis,European Journal of Operational Research.2001,130,498-509.
[56]Tone,K.,A Slacks-Based Measure of Super-Efficiency in Data Envelopment Analysis,European Journal Operational Research.2002,143,32-41.
[57]Valdmanis,V.Sensitivity Analysis for DEA Models:An Empirical Example Using Public versus NFP Hospitals.Journal of Public Economics,1992,48(2),185-205.
[58]White,H.A Heteroskedasticity Consistent Covariance Matrix Estimator and a Direct Test of Heteroskedasticity.Econometrica,1982,48,817-834.
[59]William,O.C.Essentials of Health Care Fiance.Ohio:Aspen Publishers,Inc.,1992,134-155.
[60]Wu,Y.Technical Efficiency in the Chinese Irion and Steel industry.International Review of Applied Economics,1996,102,235-248.
[61]陈聪道.确保浙江粮食安全.今日浙江,2008,24,44-45.
[62]陈恒,陈伟.基于DEA中外跨国公司研发效率比较分析.科技进步与对策,2006(8),7-9.
[63]陈通,王伟.基于平衡记分卡在政府绩效评估中应用的研究.三峡大学学报:人文社科版,2005,27(4),75-78.
[64]陈治亚,程清波,陈维亚.平衡记分卡和层次分析法在我国物流配送绩效评估中的应用研究.物流科技,2007,30(1),70-74.
[65]德布拉吉·瑞.发展经济学.北京,北京大学出版社,2002,1-30.
[66]丁贤劫,王成祥.浙江省粮食安全问题的战略性对策.浙江农业科学,2004(3),109-111.
[67]费景汉,古斯塔夫·拉尼斯.增长和发展:演进的观点.北京:商务印书馆,2004,4-5.
[68]郭淑敏,马帅,陈印军:我国粮食主产区粮食生产态势与发展对策研究.农业现代化研究,2006,27(1),1-6.
[69]何新安,熊启泉,刘莹丰.1993-2005年广东农业生产率的变动与分解.南方经济,2009,2,69-80.
[70]洪海玲.以资料包络分析法作制造业之营运效率分析.硕士学位论文:台湾国立成功大学,2001.
[71]胡永宏,贺思辉.综合评价方法.北京:科学出版社,2000.
[72]黄利军,胡同泽.基于数据包络法的中国西部地区农业生产效率分析.农业现代化研究,2006(11),420-423.
[73]黄雪萍.粮食生产绩效评估及政策建议.产业与科技论坛,2007,6(8),92-94.
[74]纪国成.浙江粮食生产与消费现状及发展对策.浙江农业科学,2004,1,1-18.
[75]李京文,钟学义.中国生产率分析前沿.社会科学文献出版社,1998,10.
[76]李美娟,陈国宏,数据包络分析法(DEA)的研究与应用.中国工程科学,2006,6,88-94.
[77]李爽爽,赵郁.用财务比率分析法探寻薄利多销策略.冶金财会,2004,4,33-34.
[78]李小平,朱钟棣.中国工业行业的全要素生产率测算.管理世界,2005,4,56-64
[79]李周,于法稳.西部地区农业生产效率的DEA分析.中国农村观察,2005(6),2-10.
[80]梁流涛,曲福田,王春华.基于DEA方法的耕地利用效率分析.长江流域资源与环境,2008,17(2),242-245.
[81]刘大为,马文成,赵勃等.DEA方法在农业生产效率综合评价中的应用.农业与技术,2005(4),157-161.
[82]刘李峰,武拉平,陈伟红.“粮改”对粮食生产和农民收入影响的实证分析.新疆农垦经济,2007,5,17-22.
[83]刘祥熹,林嘉玲.台电公司及其各区营业处理经营绩效之讨论,公营事业评论,2000,2(1),75-124
[84]刘雪妮,刘雪梅,席晓宇.基于Malmquist指数的农业生产效率分析.价值工程,2008(6),20-22.
[85]龙子泉,高伟.供应链绩效评估的基准平衡记分卡法.物流技术,2004,5,52-54.
[86]马文杰,冯朝中.中国粮食生产影响因素分析.陕西农业科学,2008(1),163-166.
[87]孟令杰,顾焕章.度量生产率变化的非参数方法.数量经济技术经济研究,2001,2,34-40
[88]潘越,戴亦一.抵借价值比率分析法:对抵押贷款条件下收益还原法缺陷的改进与应用.当代财经,2003,11,26-30.
[89]庞英,李树超等.中国粮食生产资源配置效率及其区域差异.经济地理,2008,28(1),113-116.
[90]乔世君.中国粮食生产技术效率的实证研究.数理统计与管理,2004,23(3),11-16.
[91]沈锡权.温州通过创新耕地流转模式稳定粮食生产.福建党史月刊,2008,11,43-44.
[92]施孟隆,黄炳文.台湾各县市农业技术效率与生产力变动之研究.林业学报,2004,53(2),185-196.
[93]苏旭霞,王秀清.农用地细碎化与农户粮食生产:以山东省莱西市为例的分析.中国农村观察,2002,3,22-28.
[94]孙巍.生产投入可处置性测度理论及其非参数方法的应用研究.数量经济技术经济研究,1999,2,72-78.
[95]孙逊.资料包络分析法理论与应用.台北:扬智文化,2004,194-197.
[96]汪旭辉,刘勇.基于DEA模型的我国农业生产效率综合评价.河北经贸大学学报,2008,29(1),53-59.
[97]王坚强.模糊多准则决策方法研究综述.控制与决策,2008,23(6),601-606.
[98]王岩明,周全.论企业业绩评价的平衡记分卡法数量.经济技术经济研究,2003,2,96-99.
[99]王跃梅.浙江粮食市场化与粮食安全研究.硕士学位论文,浙江大学,2004.
[100]魏权龄.评价相对有效性的DEA方法.北京:中国人民大学出版社,1988.
[101]魏权龄.数据包络分析.科学通报,2000,17,1793-1807.
[102]魏权龄.数量经济学.北京:中国人民大学出版社,1998,304-341.
[103]吴福象.参数与非参数前沿方法在生产率效率测度中的应用.数理统计与管理,2005,5,1-6.
[104]西奥多·舒尔茨.改造传统农业.北京:商务印书馆,1987,1-153.
[105]肖浩永,周叔扬.关于宁波市粮食生产与粮食安全的调研.宁波农业科技,2007,4,12-14
[106]谢千里,罗斯基,张轶凡.中国工业生产率的增长与收敛.经济学,2008,7(3)809-826.
[107]徐琼.基于DEA模型的技术效率实证分析宁波大学学报(理工版).2005,18(2),215-518.
[108]许美玉.台湾地区农作物生产效率之评估.台北:2004年财经学术研讨会
[109]闫彦.电力企业全要素生产率的回归分析.工业技术经济,2003,22(4),81-84.
[110]严力蛟,汪自强等.浙江省农业产业结构调整的现状与对策.浙江大学学报,2002,28(2),231-236.
[111]颜鹏飞,王兵.技术效率、技术进步与生产率增长:基于DEA的实证分析.经济研究,2004,12,55-65.
[112]杨志斌.浙江省农业结构调整与粮食安全的探讨.浙江农业科学,2002(4),155-158.
[113]易纲,樊纲,李岩.关于中国经济增长与全要素生产率的理论思考,经济研究,2003,8,47-56.
[114]余修斌,程连.前沿生产函数与企业技术非效率的测算:西安飞机制造公司的实例测算.统计研究,2000,5,44-48.
[115]张军,施少华.中国经济全要素生产率变动:1952-1998.世界经济文汇,2003,2,17-24.
[116]张宁,陆文聪.中国农村劳动力素质对农业效率影响的实证分析.农业技术经济,2006,2,74-80.
[117]张倩肖.外商直接投资、市场竞争及对我国制造业的技术外溢效应:基于随机前沿生产函数的分析.经济学家,2007,3.23-29.
[118]张永霞.中国农业生产率及实证研究.博士学位论文,中国农业科学院,2006.
[119]章仁田.前沿生产函数的模拟方法与农业应用探讨.科技通报,1994,10(3),147-152.
[120]赵家章,胡碧玉.技术进步与中国经济增长:基于全要素生产率的实证研究.开发研究,2005,6,59-62.
[121]赵伟明,鲁长根,杨新琴等.浙江省种植业结构调整的特点、经验和发展对策.浙江农业科学,2000,1,6-8.
[122]赵芝俊,张社梅.近20年中国农业技术进步贡献率的变动趋势.中国农村经济,2006,3,4-12.
[123]浙江省农业志.北京:中华书局.2005,230&278-283.