广西壮族自治区耕地绿色利用效率时空格局与影响因素

陆燕和; 刘彦花; 蒙烨铭; 韦媛媛; 梁云菲; 张林鹏

doi:10.13961/j.cnki.stbctb.2025.02.033

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广西壮族自治区耕地绿色利用效率时空格局与影响因素

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- 广西壮族自治区耕地绿色利用效率时空格局与影响因素
- Spatiotemporal pattern and influencing factors of green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region
- 水土保持通报 2025年45卷第2期页码：325-336
- 作者机构：
  
  1. 南宁师范大学自然资源与测绘学院,广西,南宁,530100
  2. 南宁师范大学地理科学与规划学院,广西,南宁,530100
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“基于图谱分析的区域经济发展与资源环境脱钩路径研究：以广西北部湾经济区为例”(41461116)
- DOI：10.13961/j.cnki.stbctb.2025.02.033
  中图分类号： X322;F323.211
- 网络首发：2025-05-16，
  
  纸质出版：2025
- 稿件说明：
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陆燕和, 刘彦花, 蒙烨铭, 等. 广西壮族自治区耕地绿色利用效率时空格局与影响因素[J]. 水土保持通报, 2025,45(2):325-336.

Lu Yanhe, Liu Yanhua, Meng Yeming, et al. Spatiotemporal pattern and influencing factors of green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 325-336.
陆燕和, 刘彦花, 蒙烨铭, 等. 广西壮族自治区耕地绿色利用效率时空格局与影响因素[J]. 水土保持通报, 2025,45(2):325-336. DOI： 10.13961/j.cnki.stbctb.2025.02.033.

Lu Yanhe, Liu Yanhua, Meng Yeming, et al. Spatiotemporal pattern and influencing factors of green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 325-336. DOI： 10.13961/j.cnki.stbctb.2025.02.033.

摘要

[目的] 研究广西壮族自治区(简称“桂”)耕地绿色利用效率时空变化特征及影响因素，为推动耕地管理和高效利用，促进农业绿色发展提供决策依据。[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，广西壮族自治区耕地绿色利用效率历经平稳增长、缓慢增长和快速增长3个阶段，总体呈稳步上升态势，各地市效率值曲线演变特征差异显著。②空间上，呈现桂东、桂南高，桂西、桂北居中，桂中较差的分布特征，“东西”和“南北”差异呈缩小态势。③各影响因子作用机理存在显著时空异质性。正向因子起到合理分配资源、调整产业结构等作用，负向因子导致地力下降、劳动力短缺、污染加剧等问题。[结论] 广西壮族自治区耕地绿色利用效率存在显著的时空差异，复种指数、农用机械投入强度及城乡收入差距影响强度大。建议未来深入挖掘各地农业特色与潜力，差异化制定耕地绿色利用效率提升策略，推动农业区域差异化发展，全面提升广西壮族自治区耕地绿色利用效率。

Abstract

[Objective] The spatio-temporal characteristics and influencing factors of the green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region were studied

in order to provide decision-making basis for promoting the management and efficient use of cultivated land and promoting the green development of agriculture. [Methods] An index system was established using panel data from 14 cities and regions between 2010 and 2021. The super-efficiency SBM model was applied to estimate the green use efficiency of cultivated land

while the spatio-temporal distribution patterns and evolution trends were visualized using the ArcGIS analysis tool. Additionally

the GTWR model was employed to reveal the spatio-temporal heterogeneity of influencing factors. [Results] ① Temporal trends: The green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region underwent three distinct phases-steady growth

slow growth

and rapid growth-demonstrating an overall upward trend. However

notable differences were observed in the efficiency evolution curves across different cities. ② Spatial distribution: The efficiency levels were highest in Eastern and Southern Guangxi Zhuang Autonomous Region

moderate in western and Northern Guangxi Zhuang Autonomous Region

and lowest in Central Guangxi Zhuang Autonomous Region. The disparities between “east vs. west” and “north vs. south” gradually narrowed over time. ③ The impact mechanisms of various factors exhibited significant spatio-temporal heterogeneity. Positive factors contributed to rational resource allocation and industrial structure optimization

while negative factors exacerbated challenges such as soil degradation

labor shortages

and pollution intensification. [Conclusion] The green use efficiency of cultivated land in Guangxi Zhuang Autonomous Region displays substantial spatio-temporal variations. The multiple cropping index

agricultural machinery input intensity

and urban-rural income disparity exert strong influences. To enhance land use efficiency

future efforts should focus on leveraging the unique agricultural characteristics of different regions

formulating region-specific improvement strategies

and promoting differentiated agricultural development

ultimately fostering a more sustainable and efficient use of cultivated land in Guangxi Zhuang Autonomous Region.

关键词

Keywords

references

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