A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis
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...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/4020752 |
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doaj-3127fb7b34e3425b97444dcfcf0a48c32020-11-25T04:08:26ZengHindawi LimitedMathematical Problems in Engineering1563-51472020-01-01202010.1155/2020/40207524020752A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data AnalysisYan Shu0Longxin Lin1Yueqian Hu2Turkish General StaffDepartment of Industrial EngineeringDepartment of AnaesthesiaThe 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.http://dx.doi.org/10.1155/2020/4020752 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yan Shu Longxin Lin Yueqian Hu |
spellingShingle |
Yan Shu Longxin Lin Yueqian Hu A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis Mathematical Problems in Engineering |
author_facet |
Yan Shu Longxin Lin Yueqian Hu |
author_sort |
Yan Shu |
title |
A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis |
title_short |
A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis |
title_full |
A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis |
title_fullStr |
A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis |
title_full_unstemmed |
A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis |
title_sort |
study on the health output effect of chinese medical service industry agglomeration based on big data analysis |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1563-5147 |
publishDate |
2020-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2020/4020752 |
work_keys_str_mv |
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1715043442614075392 |