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草业学报  2015 

基于随机前沿生产函数法的饲草生产技术效率测算及影响因素分析——以西藏“一江两河”地区为例

DOI: 10.11686/cyxb2014360, PP. 70-79

Keywords: 随机前沿生产函数,饲草生产技术效率,西藏“,一江两河”,地区

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Abstract:

以西藏“一江两河”地区农户调研数据为基础,运用随机前沿生产函数估算农户饲草生产技术效率及影响因素,并从饲草类别、农业规模和地区分布3个维度进一步分析技术效率的增产空间。结果显示,饲草生产存在显著效率损失,提高生产效率,单产还有近30%的增长空间;投入要素劳动、种子、燃料、农家肥、化肥和土地产出弹性分别为0.1423,0.2197,0.1309,0.2600,0.2265和0.0206;品种差异是饲草技术效率最主要影响因素,农业规模和流动资金要素对饲草生产效率提高产生间接负向影响,人力资本和农业综合生产能力要素对饲草生产效率影响不显著。释放饲草生产技术效率增产空间,可采取推广普及豆科饲草生产技术、扩大饲草种植规模、各地区(特别是拉萨地区)进一步明确适宜引种的饲草品种等策略。

References

[1]  Xin S P, Jia Y D P. Development measures of artificial grassland of Tibet river valley region. China Animal Husbandry, 2012, 6: 32-36.
[2]  Xie H, Lu J J. Thoughts on structure adjustment of Tibet agricultural and animal husbandry industries. Journal of Tibet University, 2005, 20(3): 29-32.
[3]  Zhang Y F. The role of alfalfa in the structure adjustment of three-component cropping system in Chinese agriculture. Pratacultural Science, 1999,4: 10-13.
[4]  Yue Y H, Qi X, Wang Y R, et al . Persistence of 35 Medicago sativa varieties at the 10th year after establishment. Acta Prataculturae Sinica, 2014, 23(1): 58-64. 浏览
[5]  Farrell M J. The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A (General), 1957, 120(2): 253-290.
[6]  Leibenstein H. Allocative efficiency vs. “x-efficiency”. The American Economic Review, 1966,56: 392-415.
[7]  RolfFare S G, Mary N, Zhang Z Y. Productivity growth technical progress and efficiency changes in industrialised countries. The American Economic Review, 1994, 84: 1033-1041.
[8]  Meeusen W, Broeck J. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 1977, 18: 435-444.
[9]  Lovell A, Schmidt. Formulation and estimation of stochastic frontier production function. Journal of Econometrics, 1977, 6: 21-37.
[10]  Battese G E, Coelli T J. A stochastic frontier production function incorporating, a model for technical inefficiency effects[A]. Working Papers in Econometrics and Applied Statistics, No. 69, Department of Econometrics, University of New England, 1993.
[11]  Wang G H. The estimation of stochastic frontier production function and average technical efficiency. Journal of Agrotechnical Economics, 1988, 1: 21-25.
[12]  Wang G H. The theory and application of frontier production function. Journal of Agrotechnical Economics, 1988, 1: 21-25.
[13]  Liao Y X. The discussion and survey of planting industry production technical efficiency. Technology Economics, 1994, 9: 38-42.
[14]  Su J C. Estimation and measures chosen of grain production technical efficiency of Guangdong Province. China Rural Survey, 1996, 6: 14-17.
[15]  Meng L J. The dynamic study on Chinese agricultural production technical efficiency. Journal of Agrotechnical Economics, 2000, 5: 1-4.
[16]  Liang X M. Technical efficiency and economy efficiency[N]. China Economic Times, 23th, Feb, 2004, 5.
[17]  Du W J. Policy differences of agricultural production technical efficiency, based on panal data stochastic frontier method. Journal of Quantitative & Technical Economics, 2009, 9: 107-119.
[18]  Fang H. Study on China agricultural production technical efficiency, based on province level estimation, found and explanation. Journal of Agrotechnical Economics, 2010, 1: 34-42.
[19]  Yu J B, Qiao J, Gong C G. The analysis of Chinese soybean production technical efficiency. Journal of Agrotechnical Economics, 2007, 4: 41-48.
[20]  Kang X, Li X M. The analysis of our country’ grain production technical efficiency, based on stochastic frontier method. China Rural Survey, 2005, 4: 25-33.
[21]  Meng L J, Zhang H M. Regional technical efficiency differences in wheat production in China. Journal of Nanjing Agricultural University (Social Sciences edition), 2004, 4(2): 13-17.
[22]  Cao J, Sun D Q, Tan X Y. Farmer’ cow production technical efficiency and effect factors. China Rural Economy, 2005,10: 42-49.
[23]  Mang H Y, Tang H C. The total factors productivity analysis of Chinese milk production. Chinese Rural Economy, 2007, 2: 40-48.
[24]  Qu X B. The production technical efficiency difference of different farmer sizes and effect factors. Journal of Nanjing Agricultural University (Social Sciences edition), 2009, 9(3): 27-36.
[25]  Jin F L, Wang L, Li G C. Winter rapeseed’s technical efficiency and its influence factors: Based on the model of stochastic frontier production function and 1707 micro-datas of farmers. Journal of China Agricultural University, 2013, 18(1): 210-217.
[26]  Battese G E, CoelliT J. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 1995, 20: 325-332.
[27]  Kumbhakar S C, Ghosh S, McGuckin J T. A generalized production frontier approach for estimating determinants of inefficiency in U. S. dairy farms. Journal of Business & Economics Statistics, 1991, 9: 279-286.
[28]  Lucas R EJr. On the mechanics of economic development. Journal of Monetary Economics, 1988, 22(3): 3-42.
[29]  Schultz T W.Transforming Traditional Agriculture[M]. Liang X M, Translated. Beijing: Beijing Commerical Press, 1987: 133.
[30]  Huang C J, Bagi F S. Technical efficiency on individual farms in Northwest India. Southern Economic Journal, 1984, 51: 108-115.
[31]  Coelli T J. A guide to frontier version 4.1: a computer program for stochastic frontier production and cost function estimation[A]. Working Paper, Centre for Efficiency and Productivity Analysis, University of New England, Armidale, Australia, 1996.
[32]  农业部全国草业产品质量监督检验测试中心. 到该重视草业的时候了[N]. 农民日报, 2011-08-10, 008.
[33]  马启智. 保护草原生态、建设美丽牧区. 草业学报, 2014, 23(1): 1-2. 浏览
[34]  张美艳, 薛世明, 崔玲艳, 等. 不同收种时间和收种方式对贝斯莉斯克伏生臂形草种子产量和质量的影响. 草业学报, 2014, 23(4): 351-356. 浏览
[35]  辛盛鹏, 加央旦培. 西藏河谷地带人工种草发展与对策. 中国畜牧业, 2012, 6: 32-36.
[36]  谢红, 卢金金. 关于西藏农牧业结构调整和发展的思考. 西藏大学学报, 2005, 20(3): 29-32.
[37]  张玉发. 试论苜蓿生产在我国农业三元种植结构调整中的地位和作用. 草业科学, 1999, 4: 10-13.
[38]  岳彦红, 齐晓, 王彦荣, 等. 35个10龄紫花苜蓿品种的持久性比较. 草业学报, 2014, 23(1): 58-64. 浏览
[39]  万广华. 随机边界生产函数和平均技术效率的估算. 农业技术经济, 1988, 1: 21-25.
[40]  万广华. 边界生产函数理论及其应用. 农业技术经济, 1989, 2: 25-36.
[41]  廖耀先. 种植业生产技术效率的讨论与度量. 技术经济, 1994, 9: 38-42.
[42]  苏基才. 广东省粮食生产技术效率的测定分析与政策取向. 中国农村观察, 1996, 6: 14-17.
[43]  孟令杰. 中国农业产出技术效率动态研究. 农业技术经济, 2000, 5: 1-4.
[44]  梁小民. 技术效率与经济效率[N]. 中国经济时报, 2004-02-23,05.
[45]  杜文杰. 农业生产技术效率的政策差异研究——基于时不变阈值面板随机前沿分析. 数量经济技术经济研究,2009,9: 107-119.
[46]  方鸿. 中国农业生产技术效率研究:基于省级层面的测度、发现与解释. 农业技术经济, 2010, 1: 34-42.
[47]  余建斌, 乔娟, 龚崇高. 中国大豆生产的技术效率和技术效率分析. 农业技术经济, 2007, 4: 41-48.
[48]  亢霞, 李秀梅. 我国粮食生产的技术效率分析——基于随机前沿分析方法. 中国农村观察, 2005, 4: 25-33.
[49]  孟令杰, 张红梅. 中国小麦生产的技术效率地区差异. 南京农业大学学报(社会科学版), 2004, 4(2): 13-17.
[50]  曹暕, 孙顶强, 谭向勇. 农户奶牛生产技术效率及影响因素分析. 中国农村经济, 2005, 10: 42-49.
[51]  马恒运, 唐华仓. 中国牛奶生产的全要素生产率分析. 中国农村经济, 2007, 2: 40-48.
[52]  屈小博. 不同规模农户生产技术效率差异及其影响因素分析. 南京农业大学学报(社会科学版), 2009, 9(3): 27-36.
[53]  金福良, 王璐, 李谷成, 等. 不同规模农户冬油菜生产技术效率及影响因素分析——基于随机前沿函数与1707个农户微观数据. 中国农业大学学报, 2013, 18(1): 210-217.
[54]  西奥多·W·舒尔茨. 改造传统农业[M]. 梁小民,译. 北京:北京商务印书馆, 1987: 133.
[55]  The Whole Country Grass Product Quality Supervision and Inspection Center of Agriculture Ministry. It’s time to pay attention to grass industry[N]. Farmer’s Daily, 10th, Aug, 2011(eight).
[56]  Ma Q Z. Protect grassland ecology and contribute beautiful pastoral area. Acta Prataculturae Sinica, 2014, 23(1): 1-2. 浏览
[57]  Zhang M Y, Xue S M, Cui L Y, et al . Effect of harvest time and harvest method on seed yield and quality of Brachiaria decumbens ‘basilisk’. Acta Prataculturae Sinica, 2014, 23(4): 351-356. 浏览

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