淮河生态经济带县域经济影响因素的空间异质性研究

Spatial Heterogeneity of County-Level Economic Influencing Factors in the Huaihe River Eco-Economic Belt

基于夜间灯光数据分析2013—2021年淮河生态经济带县域经济发展的时空分布特征,并运用多尺度地理加权回归模型对其影响因素的空间异质性进行分析。结果表明:(1)淮河生态经济带县域经济发展总体上不断提升,发展差异逐渐缩小,呈均衡化发展趋势,且经济发展水平存在空间正相关性。(2)产业结构、城镇化率和金融水平为局部变量,具有较强的空间异质性,对区域内部不同地区的影响差异较大。对外开放程度和地形条件为全局变量,存在的空间异质性较小。(3)从各显著变量的均值上看,产业结构、城镇化率、对外开放程度和金融水平对淮河生态经济带县域经济呈正向影响,政府作用和地形条件呈负向影响。

Based on the nighttime light data,the spatial and temporal distribution characteristics of county economic development in the Huaihe River Ecological Economic Belt from 2013 to 2021 were analyzed,and the spatial heterogeneity of its influencing factors was analyzed by using a multi-scale geographically weighted regression model.The results show that:(1)The economic development of counties in the Huaihe River Ecological Economic Belt has been continuously improved,the development difference have gradually narrowed,showing a balanced development trend,and there is a spatial positive correlation between the economic development level.(2)Industrial structure,urbanization rate and financial level are local variables,which have strong spatial heterogeneity,and impact on different regions within the region varies greatly.The degree of openness to the outside world and topographic conditions are global variables,and the spatial heterogeneity is small.(3)From the mean value of each significant variable,the industrial structure,urbanization rate,degree of opening up and financial level have a positive impact on the county economy of the Huaihe River Ecological Economic Belt,while the role of the government and topographic conditions have a negative impact.