湖北农业科学 ›› 2023, Vol. 62 ›› Issue (7): 197-205.doi: 10.14088/j.cnki.issn0439-8114.2023.07.033

• 经济·管理 • 上一篇    下一篇

山东省粮食生产生态效率评价与驱动因素分析——基于面源污染、碳排放双重视角

朱梦凡, 李敬锁   

  1. 青岛农业大学经济管理学院,山东 青岛 266109
  • 收稿日期:2022-10-08 出版日期:2023-07-25 发布日期:2023-08-15
  • 通讯作者: 李敬锁(1978-),男,山东滕州人,教授,博士,主要从事农业科技创新与评价研究,(电话)15166675896(电子信箱)200101034@qdu.edu.cn。
  • 作者简介:朱梦凡(1997-),女,山东济宁人,在读硕士研究生,研究方向为农业科技创新,(电话)18561708359(电子信箱)ZMF09241025@163.com。
  • 基金资助:
    山东省软科学重点项目(2021RZB06025); 山东省重点研发计划项目(2021TZXD003-004)

Analysis of the eco-efficiency evaluation and driving factors of grain production in Shandong Province:Based on the dual perspective of non-point source pollution and carbon emission

ZHU Meng-fan, LI Jing-suo   

  1. School of Economics and Management, Qingdao Agricultural University, Qingdao 266109, Shandong,China
  • Received:2022-10-08 Online:2023-07-25 Published:2023-08-15

摘要: 基于非期望产出的SBM-Undesirable模型,对2000—2019年山东省16地市粮食生产生态效率水平进行测度与评价,采用ArcGIS可视化技术和莫兰指数探究其空间格局特征,并构建Tobit模型分析其驱动因素。结果表明,山东省粮食生产生态效率呈波动上升趋势,年均值为0.58,仍存在很大提升空间。空间上表现为明显的差异性,粮食生产生态效率高水平地区逐渐向鲁西北及鲁西南转移;除2002年、2006年、2008年以外,空间上具有显著的正相关性,总体呈现为“H-H”和“L-L”集聚。财政支农水平、农村居民收入水平、种植结构对山东省粮食生产生态效率具有显著的驱动作用,不同地区之间粮食生产生态效率存在溢出效应。

关键词: 粮食生态效率, SBM-Undesirable模型, 时空格局, 驱动因素, 山东省

Abstract: The SBM-Undesirable model based on non-expected output was used to measure and evaluate the eco-efficiency of grain production in 16 cities in Shandong Province from 2000 to 2019. ArcGIS visualization technology and Moran index were used to explore the characteristics of its spatial pattern, and a Tobit model was constructed to analyze its driving factors. The results showed that the eco-efficiency of grain production in Shandong Province showed a fluctuating upward trend, with an annual average value of 0.58, and there was still much room for improvement. Spatially, there were obvious differences, the areas with a high level of eco-efficiency of grain production had gradually shifted to the northwest and southwest of Shandong Province; except for 2002, 2006 and 2008, there was a significant positive spatial correlation, and the overall trend was “H-H”and “L-L”agglomeration. The level of financial support for agriculture, the income level of rural residents and the cropping structure had significant driving effects on the eco-efficiency of grain production in Shandong Province, and there were spillover effects on the eco-efficiency of grain production between different regions.

Key words: eco-efficiency of grain, SBM-Undesirable model, spatial-temporal patterns, driving factors, Shandong Province

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