针对高铁空间可达性对城市群经济发展影响的复杂性问题,以京津冀城市群为研究对象,基于2007年至2019年城市群高铁开通与经济发展的时空面板数据,从供需角度运用两步移动搜索法(Two-Step Floating Catchment Area method,2SFCA)测算了高...针对高铁空间可达性对城市群经济发展影响的复杂性问题,以京津冀城市群为研究对象,基于2007年至2019年城市群高铁开通与经济发展的时空面板数据,从供需角度运用两步移动搜索法(Two-Step Floating Catchment Area method,2SFCA)测算了高铁空间可达性,综合利用双固定(时间和空间)效应空间杜宾模型(Spatial Durbin Model,SDM)和时空地理加权回归模型(Geographically and Temporally Weighted Regression,GTWR)分析了高铁空间可达性对城市群经济发展影响的本地效应、溢出效应和时空非平稳性.研究结果表明:高铁空间可达性对城市群的总体经济发展具有正显著性的本地效应和负显著性的溢出效应;高铁空间可达性对城市群3次产业发展的影响效应不同,其中对第二产业的影响最为显著;高铁空间可达性对城市群总体经济发展和三次产业发展具有时空非平稳性,影响作用的分布均具有集聚化特征.研究结果反映出京津冀城市群以虹吸发展为主,无法直接享受高铁出行服务的县区,与其他县区间的高铁空间可达性差异、经济发展差异愈加明显.因此,应继续完善高铁网络和运行政策,加强其他交通网络与高铁网络的衔接,注重城市分工与优化产业布局,合理引导高铁可达性对城市群经济发展的影响.展开更多
With the help of the Theil index,this paper analyzes the regional and intra-regional disparities in the Land Economic Density(LED)of the provincial-level regions in China from 2008 to 2017.The Pearson correlation coef...With the help of the Theil index,this paper analyzes the regional and intra-regional disparities in the Land Economic Density(LED)of the provincial-level regions in China from 2008 to 2017.The Pearson correlation coefficient is also employed to reveal the relationship between influencing factors and the LED of the empirical regions,so as to further identify differences in the LED of different regions.The paper finds that firstly,the average LED on the national scale has grown gradually from about 787 million yuan/km^(2) in 2008 to around 1,396 million yuan/km^(2) in 2017.Secondly,the intra-regional disparity in LED shows a decrease trend.Conversely,the regional disparity in LED has increased year by year.Thirdly,the LED of different regions has different correlations with their influencing factors.Finally,both education and technology input have a significantly positive correlation with the LED,and a negative correlation with urban-rural consumption ratio,which indicates that improving the education and technology input could balance regional development and narrow the development gap between urban and rural areas.展开更多
文摘With the help of the Theil index,this paper analyzes the regional and intra-regional disparities in the Land Economic Density(LED)of the provincial-level regions in China from 2008 to 2017.The Pearson correlation coefficient is also employed to reveal the relationship between influencing factors and the LED of the empirical regions,so as to further identify differences in the LED of different regions.The paper finds that firstly,the average LED on the national scale has grown gradually from about 787 million yuan/km^(2) in 2008 to around 1,396 million yuan/km^(2) in 2017.Secondly,the intra-regional disparity in LED shows a decrease trend.Conversely,the regional disparity in LED has increased year by year.Thirdly,the LED of different regions has different correlations with their influencing factors.Finally,both education and technology input have a significantly positive correlation with the LED,and a negative correlation with urban-rural consumption ratio,which indicates that improving the education and technology input could balance regional development and narrow the development gap between urban and rural areas.
