Abstract
The agglomeration health output effect of the medical service industry in the era of big data is an important part of the agglomeration innovation of medical resources. This paper used the regression model of data mining to set up the fixed effect model and system GMM model to study the relationship between the agglomeration of medical service industry and resident’s health level, based on the panel data of 31 provinces of China from 2003 to 2017. The results show that the health outcome of the medical industrial agglomeration is positive and different in provinces. The influence of medical service cluster on residents’ health level in the eastern region fails the significance test, while the medical service cluster in the central and western regions can significantly improve residents’ health level. And, this effect is also related to the characteristics of medical resources, economic development, demographic characteristics, and other heterogeneous factors. On this basis, the paper puts forward policy suggestions to promote the market structure of the medical industry from the aspects of strengthening synergies and policy guidance.
Highlights
In 2018, Paul Zane Pilzer, an American economist, proposed that the healthcare industry is a star industry with a global scale of trillions after the electronic information industry
Will the level of medical industry cluster affect the health level of residents? Does it promote or inhibit the health of residents? What factors influence its performance? e regression analysis method based on data mining technology to study the health output effect of the agglomeration of China’s medical service industry will be helpful to promote the agglomeration innovation of China’s medical and health resources, which effectively solve the heterogeneous differences in the distribution of regional health resources
China’s medical service industry shows agglomeration phenomenon, which is reflected in medical funds that continue to gather in the eastern coastal areas. e medical service industry cluster has brought about lots of high-quality medical resources, which is conducive to exerting scale effect, improving the accessibility of highquality medical services for residents, and improving the health level of residents
Summary
In 2018, Paul Zane Pilzer, an American economist, proposed that the healthcare industry is a star industry with a global scale of trillions after the electronic information industry. From the development practice of all countries in the world, the health care industry has become a strong driving force for the growth of national economy. In October 2016, the “healthy China 2030” planning outline, issued by the State Council, explicitly pointed out that the total scale of China’s health service industry will reach 16 trillion yuan by 2030, and the medical and health industry will become the pillar industry of China’s national economy. E regression analysis method based on data mining technology to study the health output effect of the agglomeration of China’s medical service industry will be helpful to promote the agglomeration innovation of China’s medical and health resources, which effectively solve the heterogeneous differences in the distribution of regional health resources Will the level of medical industry cluster affect the health level of residents? Does it promote or inhibit the health of residents? What factors influence its performance? e regression analysis method based on data mining technology to study the health output effect of the agglomeration of China’s medical service industry will be helpful to promote the agglomeration innovation of China’s medical and health resources, which effectively solve the heterogeneous differences in the distribution of regional health resources
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