中国猪业 ›› 2024, Vol. 19 ›› Issue (1): 95-101.doi: 10.16174/j.issn.1673-4645.2024.01.014

• 猪业经济 • 上一篇    

我国大规模生猪养殖全要素生产率的时空差异——基于Malmquist指数和超效率SBM模型

鲍艳珍   

  • 出版日期:2024-02-25 发布日期:2024-03-04

  • Online:2024-02-25 Published:2024-03-04

摘要: 我国是最大的猪肉生产国,生猪养殖业是我国农业生产中的支柱产业之一,猪肉在城乡居民肉类食品消费中占据重要地位。本文基于Ma1mquist指数和超效率SBM模型,依据2011~2021年26省份的生猪生产数据,对大规模生猪养殖的生产效率和全要素生产率及其时空差异特征进行评价分析。结果表明:从生产效率和全要素生产率综合来看,10年间我国大规模生猪养殖的生产效率呈现波动上升态势,生猪养殖技术效率年均值为0.812。从全要素生产率来看,全要素生产率年均增长率为0.5%,呈现周期波动趋势,主要依赖效率变化的增长(1.3%),生猪全要素生产率具有明显的区域性差异,中西部地区适合发展规模化生猪养殖,而东部沿海不太适合大规模生猪养殖。未来中西部应不断完善基础设施并加强技术引进与创新,在东部地区发展小规模生猪养殖,优化生产要素与资源的合理配置,调整养殖结构。

关键词: 大规模生猪养殖;Malmquist指数;超效率SBM模型;时空差异

[1] 王善高, 田旭. 不同规模生猪养殖技术效率的比较与分析[J]. 统计与决策, 2022, 38(23):90-94. Wang SG, Tian X. Comparison and analysis of the technical efficiency of different scales pig farming[J]. Statistics & Decision, 2022, 38(23):90-94. [2] 章睿馨, 银西阳, 贾小娟, 等. 我国大规模生猪养殖全要素生产率的动态演进及区域差异研究[J]. 中国农业资源与区划, 2021, 42(4):74-83. Zhang RX, Yin XY, Jia XJ, et al. Dynamic evolution and regional differences of total factor productivity in large-scale pig breeding in China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2021, 42(4):74-83. [3] 薛洋. 中国大规模生猪养殖效率评价与影响因素研究[J]. 饲料研究, 2021, 44(21):119-123. Xue Y. Evaluation model construction and influencing factors of large-scale pig breeding efficiency in China [J]. Feed Research, 2021, 44(21):119-123. [4] 孟蕊, 许萍, 郑金龙, 等. 环境规制下我国大规模生猪养殖生产效率研究[J]. 中国畜牧杂志, 2019, 55(2):122-126. Meng R, Xu P, Zheng JL, et al. Research on the production efficiency of large-scale pig farming in China under environmental regulations[J]. Chinese Journal of Animal Science, 2019, 55(2):122-126. [5] Fare R, Grosskopf S, Lindgren B, et al. Productivity changes in swedish pharamacies 1980-1989[J]. The Journal of Productivity Analysis, 1992(3):85-101. [6] Fare R, Grosskopf S, Norris M, et al. Productivity growth, technical progress, and efficiency change in industrialized countries[J]. American Economic Association, 1994(84):66-83. [7] Ray SC, Desli E. Productivity growth, technical progress, and efficiency change in industrialized countries: comment[J]. American Economic Association, 1997, 87(5):1033-1039. [8] Chung Y, Fare R, Grosskopf S. Productivity and undesirable outputs: a directional distance function approach[J]. Journal of Environmental Management, 1997, 51(3):229-240. [9] Knox LCA. The decomposition of malmquist productivity indexes[J]. Journal of Productivity Analysis, 2003(20):437-458. [10] Kaoru TA. Slacks-based measure of super-efficiency in data envelopment analysis [J]. European Journal of Operational Reaerach, 2002, 143(1):32-41. [11] Tone K. A slacks-based measure of efficiency in data envelopment analysis [J]. European Journal of Operational Research, 2001, 130(3):498-509. [12] Pastor JT, Lovell K. A global malmquist productivity index[J]. Economics Letters, 2005, 88(2):266-271. [13] Zofio JL. Malmquist productivity index decompositions: a unifying framework[J]. Applied Economics, 2007(39):2371-2387. [14] 成刚. 数据包络分析方法与 MaxDEA 软件[M]. 北京: 知识产权出版社, 2014. Cheng G. Data envelopment analysis method and MaxDEA doftware[M]. Beijing: Intellectual Property Publishing House Co., Ltd., 2014. [15] Tone K. Dealing with Undesirable Outputs in DEA: A Slacks-based Measure (SBM) Approachc [C]//. In: Presentation at NAPW III, Toronto, 2003. [16] 吴学兵, 乔娟, 李谷成. 环境约束下的中国规模猪场生产率增长与分解研究[J]. 统计与决策, 2013(20):118-120. Wu XB, Qiao J, Li GC. Research on productivity growth and decomposition of large-scale pig farms in China under environmental constraints[J]. Statistics & Decision, 2013(20):118-120.
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