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中国农机化学报

中国农机化学报 ›› 2024, Vol. 45 ›› Issue (3): 287-295.DOI: 10.13733/j.jcam.issn.2095-5553.2024.03.038

• 农业机械化综合研究 • 上一篇    下一篇

农机社会化服务绿色效率的时空动态演进及其影响因素研究

童彤,戴浩,魏君英,李爱杰   

  • 出版日期:2024-03-15 发布日期:2024-04-16
  • 基金资助:
    国家社会科学基金一般项目(23BJY259)

Research on spatiotemporal dynamic evolution and influencing factors of green efficiency of social service of agricultural machinery

Tong Tong, Dai Hao, Wei Junying, Li Aijie   

  • Online:2024-03-15 Published:2024-04-16

摘要: 提升农机社会化服务绿色效率,是破除农业环境瓶颈的关键之要,是实现农业可持续发展的治本之道。基于2007—2021年全国30个省(市、自治区),运用超效率SBM模型测算农机社会化服务绿色效率,使用Dagum基尼系数、Kernel估计法、Markov链以及固定效应模型,分析我国农机社会化服务绿色效率的时空动态演化规律及其影响因素。结果表明:我国农机社会化服务绿色效率呈上升趋势,空间上呈现中东高西部低的状态;农机社会化服务绿色效率的总体差异呈缩小趋势,地区间差异是导致总体差异的主要原因;农机社会化服务绿色效率逐步提高,近年来呈集中趋势,地区绝对差异扩大;农机社会化服务绿色效率发生转移的过程中,存在空间溢出效应,效率锁定现象显著;城镇化和人口老龄化、种植结构、化肥、农药、劳动力价格对农机社会化服务绿色效率的影响较大,且地区异质性明显。

关键词: 农机社会化服务, 绿色效率, 时空动态演化规律, Dagum基尼系数, Markov链

Abstract: To improve the green efficiency of social service of agricultural machinery is the key to breaking the bottleneck of agricultural environment, and is the fundamental way to achieve sustainable development of agriculture. Based on 30 provinces (municipalities and autonomous regions) in China from 2007 to 2021, the super efficiency SBM model was used to measure the green efficiency of agricultural machinery social service, and the Dagum Gini coefficient, Kernel estimation method, Markov chain and fixed effect model were used to analyze the spatiotemporal dynamic evolution of green efficiency of agricultural machinery social service and its influencing factors. The results show that the green efficiency of agricultural machinery socialization service in China is on the rise, which is higher in the Middle East and lower in the west. The overall difference of green efficiency of social agricultural machinery services shows a decreasing trend, and the regional difference is the main reason for the overall difference. The green efficiency of social agricultural machinery services has gradually increased, showing a centralized trend in recent years, and the absolute difference between regions has expanded. In the process of green efficiency transfer of agricultural machinery social service, there is a spatial spillover effect, and the efficiency locking phenomenon is significant. Urbanization, population aging, planting structure, fertilizer, pesticide, and labor price have a great impact on the green efficiency of social agricultural machinery services, and regional heterogeneity is obvious.

Key words: agricultural machinery socialization service, green efficiency, spatiotemporal dynamic evolution, Dagum Gini coefficient, Markov chain

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