杨林, 李航飞. 广东省农业全要素生产率及影响因素研究[J]. 华南农业大学学报, 2024, 45(0): 1-8. DOI: 10.7671/j.issn.1001-411X.202407004
    引用本文: 杨林, 李航飞. 广东省农业全要素生产率及影响因素研究[J]. 华南农业大学学报, 2024, 45(0): 1-8. DOI: 10.7671/j.issn.1001-411X.202407004
    YANG Lin, LI Hangfei. Study on agricultural total factor productivity and its influencing factors in Guangdong Province: Based on threefold perspectives of carbon source, carbon sink and surface pollution[J]. Journal of South China Agricultural University, 2024, 45(0): 1-8. DOI: 10.7671/j.issn.1001-411X.202407004
    Citation: YANG Lin, LI Hangfei. Study on agricultural total factor productivity and its influencing factors in Guangdong Province: Based on threefold perspectives of carbon source, carbon sink and surface pollution[J]. Journal of South China Agricultural University, 2024, 45(0): 1-8. DOI: 10.7671/j.issn.1001-411X.202407004

    广东省农业全要素生产率及影响因素研究基于碳源、碳汇及面源污染三重视角

    Study on agricultural total factor productivity and its influencing factors in Guangdong Province: Based on threefold perspectives of carbon source, carbon sink and surface pollution

    • 摘要:
      目的 基于农业生产过程中的碳源、碳汇及农业面源污染三重视角,测算广东省农业全要素生产率,科学把握广东省农业高质量发展基础,助推乡村振兴。
      方法 利用DEA-Malmquist模型对2006—2021年广东省农业全要素生产率进行有效测度并分析其时空差异;运用面板回归模型探究其影响因素。
      结果 2006—2021年广东省农业全要素生产率虽年际间存在一定波动,但总体上升,年均增速为1.7%;广东省21个市农业全要素生产率差异明显,其中以珠海最高,达到1.070,潮州最低,仅为0.984;在区域上呈现出“珠三角地区>粤西地区>粤东地区>粤北山区”的格局。技术进步是广东省农业全要素生产率增长的关键。城镇化水平、农业产业结构是影响广东省农业全要素生产率的主要因素。
      结论 为提高广东省农业全要素生产率,建议加大农业科技投入,强化绿色农业科技推广应用,优化财政资金支持机制,大力培育发展高效立体生态农业,走绿色农业发展道路。

       

      Abstract:
      Objective Based on the triple perspectives of carbon source, carbon sink and non-point source pollution in the process of agricultural production, to measure the agricultural total factor productivity of Guangdong Province, scientifically grasp the basis of high-quality development of agriculture in Guangdong Province, and promote rural revitalization.
      Method The DEA-Malmquist model was used to effectively measure agricultural total factor productivity (TFP) in Guangdong Province from 2006 to 2021 and analyze its spatio-temporal differences, and the panel regression model was used to explore its influencing factors.
      Result From 2006 to 2021, the agricultural total factor productivity of Guangdong Province was in an overall growth trend, with an average annual growth rate of 1.7%, although there were some inter-year fluctuations. The difference of agricultural total factor productivity in 21 cities in Guangdong Province was obvious, among which the highest was 1.070 in Zhuhai and the lowest was only 0.984 in Chaozhou. The region difference was presented in “Pearl River Delta region > Western Guangdong region > East Guangdong region > Northern Guangdong mountainous region” pattern. Technological progress was the key to the growth of agricultural total factor productivity in Guangdong Province. The urbanization level and agricultural industrial structure were the main factors affecting the agricultural total factor productivity in Guangdong Province.
      Conclusion In order to improve the agricultural total factor productivity in Guangdong Province, it is suggested to increase the investment in agricultural science and technology, strengthen the popularization and application of green agricultural science and technology, optimize the financial support mechanism, vigorously cultivate and develop efficient three-dimensional ecological agriculture, and take the road of green agricultural development.

       

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