广西耕地绿色利用效率时空格局与影响因素研究
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南宁师范大学

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国家自然科学基金(41461116)


Spatio-temporal Pattern and Influencing Factors of Green Use Efficiency of Cultivated Land in Guangxi
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    摘要:

    [目的]分析广西耕地绿色利用效率时空变化特征及影响因素,揭示耕地绿色利用效率影响因子在时空上的演变特征,为推动耕地高质量发展、实现农业生产高效化提供依据。[方法]基于2010—2021年14个地市面板数据构建指标体系,利用超效率SBM模型测算耕地绿色利用效率,借助ArcGIS分析工具可视化时空分布格局与演变趋势分析,并采用GTWR模型揭示影响因子时空异质性。[结果](1)时间上,2010—2021年广西耕地绿色利用效率总体呈稳步上升态势,由2010年的0.71提升至2021年的0.96,增幅为35.21%,但尚未达到最优状态。各地市效率值曲线演变特征差异显著。(2)空间上,各市效率存在非均衡性,“南高北低”差异逐渐缩小,“东高西低”差异显著。(3)影响因子分析结果:复种指数(0.73)>农用机械投入强度(-0.39)>城乡收入差距(-0.34)>作物种植结构(-0.19)>人均GDP(0.14),复种指数对各地市均产生正向影响,人均GDP以正向影响为主,作物种植结构、城乡收入差距及农用机械投入强度以负向影响为主。[结论]广西耕地绿色利用效率存在显著时空差异,复种指数、农用机械投入强度及城乡收入差距影响强度大,建议未来应深入挖掘各地农业特色与潜力,加强区域合作与协同发展,差异化制定耕地绿色利用效率提升策略,全面提升广西耕地绿色利用效率。

    Abstract:

    [Objective] To analyze the spatio-temporal characteristics and influencing factors of green use efficiency of cultivated land in Guangxi, and reveal the spatio-temporal evolution characteristics of influencing factors of green use efficiency of cultivated land, so as to provide basis for promoting high-quality development of cultivated land and realizing high efficiency of agricultural production. [Methods] An index system was constructed based on the panel data of 14 cities and regions from 2010 to 2021. The super-efficiency SBM model was used to estimate the green use efficiency of cultivated land, and the spatiotemporal distribution pattern and evolution trend were visualized by ArcGIS analysis tool, and the spatiotemporal heterogeneity of influencing factors was revealed by GTWR model. [Results] (1) In terms of time, the green use efficiency of cultivated land in Guangxi showed a steady increase from 0.71 in 2010 to 0.96 in 2021, with an increase of 35.21%, but it had not yet reached the optimal state. There are significant differences in the evolution characteristics of efficiency curves in different cities. (2) In terms of space, the efficiency of each city is not balanced, with the difference of "high in south and low in north" gradually narrowing, and the difference of "high in east and low in west" being significant. (3) Analysis results of impact factors: Multiple cropping index (0.73) > agricultural machinery input intensity (-0.39) > urban-rural income gap (-0.34) > crop planting structure (-0.19) > per capita GDP (0.14). Multiple cropping index had a positive impact on all cities, and the per capita GDP was mainly positive. Crop planting structure, urban-rural income gap and agricultural machinery input intensity had negative effects. [Conclusion] There are significant spatio-temporal differences in the green use efficiency of cultivated land in Guangxi, and the impact of multiple cropping index, agricultural machinery input intensity and urban-rural income gap is strong. It is suggested that in the future, agricultural characteristics and potential of different regions should be deeply explored, regional cooperation and coordinated development should be strengthened, and strategies for improving green use efficiency of cultivated land should be differentiated to comprehensively improve the green use efficiency of cultivated land in Guangxi.

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  • 收稿日期:2024-11-18
  • 最后修改日期:2024-12-14
  • 录用日期:2024-12-16
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