基于夜间灯光数据的四川省县域经济差异时空格局演变及影响因素研究OA
Study on the Evolution of Spatio-temporal Patterns for County Economic Differences and Influencing Factors in Sichuan Province Based on Night Light Data
基于四川省183个县域单元2013-2021年夜间灯光数据,采用空间自相关、重心转移、标准差椭圆分析等方法来探究四川省县域经济的时空格局演变,并利用多元线性回归模型对造成四川省县域经济差异的影响因素进行分析.研究表明:从整体上看,四川省县域经济呈现出两极分化的格局,四川盆地地区经济发展态势良好,川西高原地区经济发展则不明显;标准差椭圆总体上呈现"东北-西南"分布格局,同时四川省经济重心变动幅度较小,且变动速度呈现递减趋势;从空间关联性来看,四川省县域经济发展存在显著的正相关,空间关联程度呈现出波动上升趋势,具有较强的空间异质性和区域集聚性;根据多元线性回归模型测定影响因素,正向因素中城镇化水平是最主要的正向影响因素,而产业结构则是次要的正向影响因素,投资水平、教育水平以及市场规模是四川省县域经济发展的重要正向影响因素,政府作用力则为限制性因素.
Based on the 2013-2021 nighttime lighting data of 183 county units in Sichuan Province,this paper uses spatial auto-correlation,center of gravity shift,and standard deviation ellipse analysis to explore the evolution of the spatio-temporal pattern for the county economy in Sichuan Province,and uses multiple linear regression models to do an analysis of the influencing factors that cause the differences in the county economy in Sichuan Province.The study shows that:as a whole,the county economy of Sichuan Province shows a polarized pattern,the economic development of the Sichuan Basin area is good,while the economic development of the western Sichuan Plateau area is not obvious;the standard deviation ellipse shows a"northeast-southwest"distribution pattern in general,and at the same time,the economic center of gravity in Sichuan Province shows a small change,and the speed of change shows a gradual change.The standard deviation ellipse generally shows a"northeast-southwest"distribution pattern,while the economic center of grav-ity of Sichuan Province shows a small change in the magnitude of the change,and the rate of change shows a decreasing trend.From the point of view of spatial correlation,there is a significant positive correlation between the economic development of counties in Si-chuan Province,and the degree of spatial correlation shows a fluctuating upward trend,with strong spatial heterogeneity and regional agglomeration.Based on the multivariate linear regression model for determining the influencing factors,the urbanization level of the positive factor is the most important positive influencing factor,while the industrial structure is the secondary positive influencing fac-tor.The level of investment,the level of education and the market size are important positive influences on the economic development of the counties in Sichuan Province,while the government's power is a limiting factor.
海宜峰;陈航;张和;周佳妮;高林爽;杨帆;陈希勇;邓元杰
四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000||四川轻化工大学农业经济研究中心,四川 自贡 643000四川轻化工大学经济学院,四川 自贡 643000||四川轻化工大学农业经济研究中心,四川 自贡 643000
经济学
夜间灯光数据四川省县域经济差异时空格局
nighttime lighting dataSichuan province countieseconomic differencesspatio-temporal patterns
《四川师范大学学报(自然科学版)》 2025 (2)
231-241,11
国家自然科学基金(72303055) 四川轻化工大学2023年校级大学生创新训练计划项目(CX2023108)和成渝地区双城经济圈川南发展研究院一般项目(CYQCNY20234)对本文给予了资助,河北大学经济学院侯孟阳对本文修改提供了帮助,谨致谢意.
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