1.Coupled Measurement and Spatial Differentiation of the Health Investment and Economic Growth:A Case Study of Ten Major Urban Agglomerations in China
Tianchi SONG ; Jiajia HUANG ; Zhilong SONG ; Xiangwei WU ; Jieting CHEN
Chinese Health Economics 2025;44(6):81-87
Objective:It aims to deepen the understanding of the coupled and coordinated development of health investment and economic growth,and to provide a scientific basis for the development of health policies for China's ten largest urban ag-glomerations.Methods:Based on the provincial panel data of ten major urban agglomerations from 2013 to 2022,entropy weight method,coupled coordination degree model,spatial autocorrelation model and quantile regression model are used for analysis.Results:In observation period,the level of two-system coupling and coordination grows from 0.397 in 2013 to 0.645 in 2022;the global Moran's I decreases from-0.020 to-0.357.In the dynamic leapfrog analysis,22.2%of provinces and munici-palities experience positive leapfrogging,while 16.7%of provinces and municipalities show negative leapfrogging.Baesd on lo-calised Moran Index,the quantile regression results show that the proportion of the people in higher education,the level of ur-banization and the level of labor force have a positive influence on the level of coupling and coordination between these two sys-tems,with the β coefficient showing a tendency of increasing and then decreasing;medical research institutes have a negative influence on the level of coupling and coordination between these two systems on the 0.1-0.3 quantile;the level of foreign invest-ment has a positive influence on the 0.1 quantile,and the 0.6-0.8 quartile has a negative effect.GDP per capita has a weak ef-fect on the level of coordination between these two systems.Conclusion:The two-system coupling and coordination level of the ten major urban agglomerations shows an overall increase,but there are regional differences,and it is affected by the integra-tion of science and education,economic level and human resources.
2.Coupled Measurement and Spatial Differentiation of the Health Investment and Economic Growth:A Case Study of Ten Major Urban Agglomerations in China
Tianchi SONG ; Jiajia HUANG ; Zhilong SONG ; Xiangwei WU ; Jieting CHEN
Chinese Health Economics 2025;44(6):81-87
Objective:It aims to deepen the understanding of the coupled and coordinated development of health investment and economic growth,and to provide a scientific basis for the development of health policies for China's ten largest urban ag-glomerations.Methods:Based on the provincial panel data of ten major urban agglomerations from 2013 to 2022,entropy weight method,coupled coordination degree model,spatial autocorrelation model and quantile regression model are used for analysis.Results:In observation period,the level of two-system coupling and coordination grows from 0.397 in 2013 to 0.645 in 2022;the global Moran's I decreases from-0.020 to-0.357.In the dynamic leapfrog analysis,22.2%of provinces and munici-palities experience positive leapfrogging,while 16.7%of provinces and municipalities show negative leapfrogging.Baesd on lo-calised Moran Index,the quantile regression results show that the proportion of the people in higher education,the level of ur-banization and the level of labor force have a positive influence on the level of coupling and coordination between these two sys-tems,with the β coefficient showing a tendency of increasing and then decreasing;medical research institutes have a negative influence on the level of coupling and coordination between these two systems on the 0.1-0.3 quantile;the level of foreign invest-ment has a positive influence on the 0.1 quantile,and the 0.6-0.8 quartile has a negative effect.GDP per capita has a weak ef-fect on the level of coordination between these two systems.Conclusion:The two-system coupling and coordination level of the ten major urban agglomerations shows an overall increase,but there are regional differences,and it is affected by the integra-tion of science and education,economic level and human resources.
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