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粮食生产技术效率时空演变与财政支农投入驱动效应
Spatial-temporal evolution of grain production technical efficiency and the driving effect of fiscal support for agriculture
【摘要】 基于2011—2020年粮食主产区180个地级市的统计数据,运用SFA-Translog模型测算粮食主产区粮食生产技术效率并刻画其时空格局,进一步利用Tobit模型分析财政支农投入对技术效率的驱动效应。研究发现:1)粮食主产区粮食生产技术效率呈稳定增长态势,年均增长率为0.35%。分流域来看,松花江流域、黄河流域和长江流域的技术效率分别增长2.75%、3.11%和4.21%。2)粮食主产区粮食生产技术效率在空间分布上存在异质性,但差异呈缩小趋势。超变密度是整体差异的主要来源,而区域间差异的贡献率最小。3)财政支农投入对粮食生产技术效率具有显著的正向驱动效应。财政支农投入每提高1%,粮食生产技术效率会相应提升3.39%。但该效应存在区域差异,相较于松花江流域,黄河流域和长江流域粮食生产技术效率的提升受财政支农投入的驱动效应更为显著。鉴于此,应持续优化财政支农政策,强化区域协调与技术创新,针对不同流域特性精准施策,推动粮食主产区粮食生产技术效率均衡提升,筑牢国家粮食安全根基。
【Abstract】 Based on the statistical data of 180 prefecture-level cities in the major grain-producing areas from 2011 to 2020, this study used the SFA-Translog model to measure the grain production technical efficiency in the major grain-producing regions and characterize its spatial-temporal pattern. Furthermore, the Tobit model was employed to analyze the driving effect of fiscal support for agriculture on grain production technical efficiency. The findings are as follows: 1) The grain production technical efficiency in the major grain-producing regions showed a stable growth trend, with an average annual growth rate of 0. 35%. The technical efficiencies of the Songhua River, Yellow River, and Yangtze River basins increased by 2. 75%, 3. 11%, and 4. 21%, respectively. 2) There is heterogeneity in the spatial distribution of grain production technical efficiency in the major grain-producing regions, but the differences are narrowing. Super-variable density is the primary source of differences, while the contribution rate of inter-regional differences is the smallest. 3) Fiscal support for agriculture has a significant positive driving effect on grain production technical efficiency. For every 1% increase in fiscal support for agriculture, the grain production technical efficiency improves by 3. 39%. However, this effect varies across regions. Compared to the Songhua River basin, the improvement in grain production technical efficiency in the Yellow River and Yangtze River basins is more significantly driven by fiscal support for agriculture. In light of these findings, it is necessary to continuously optimize fiscal support policies for agriculture, strengthen regional coordination and technological innovation, and implement targeted measures based on the characteristics of different basins to promote balanced improvements in grain production technical efficiency in major grain-producing regions and consolidate the foundation of national food security.
【Key words】 fiscal support for agriculture; grain production technical efficiency; SFA-Translog model; Dagum Gini coefficient; Tobit model; major grain-producing regions;
- 【文献出处】 中国农业大学学报 ,Journal of China Agricultural University , 编辑部邮箱 ,2025年10期
- 【分类号】F326.11;F812.8;F323.3
- 【下载频次】72