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.
