<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Entering the new normal of economy symbolises the innovation of growth mode and continuous optimisation and upgradation of economic structure. Using EG index, this paper measures the agglomeration degree of 31 provinces and cities and 31 manufacturing industries in China from 2012 to 2016; the results show that under the new normal, the degree of industrial agglomeration in China's manufacturing industry remains basically stable, but the overall situation is still in a state of moderate agglomeration, the regions with higher degree of concentration continue to present the pattern of ‘one pole, two domains’. To further reveal the relationship between the concentration of Chinese manufacturing industry and regional economic growth, the GMM method of dynamic panel two-stage system was used, and the results showed that industrial agglomeration and economic growth do not have simple linear relationship, but inverted U-type relationship. There was a dynamic continuation effect of regional economic growth, and external factors such as fixed asset investment and government financial expenditure can promote regional industrial economic growth. Finally, the enlightenment of the complete article is given.</p>
</abstract>

Entering the new normal of economy symbolises the innovation of growth mode and continuous optimisation and upgradation of economic structure. Using EG index, this paper measures the agglomeration degree of 31 provinces and cities and 31 manufacturing industries in China from 2012 to 2016; the results show that under the new normal, the degree of industrial agglomeration in China's manufacturing industry remains basically stable, but the overall situation is still in a state of moderate agglomeration, the regions with higher degree of concentration continue to present the pattern of ‘one pole, two domains’. To further reveal the relationship between the concentration of Chinese manufacturing industry and regional economic growth, the GMM method of dynamic panel two-stage system was used, and the results showed that industrial agglomeration and economic growth do not have simple linear relationship, but inverted U-type relationship. There was a dynamic continuation effect of regional economic growth, and external factors such as fixed asset investment and government financial expenditure can promote regional industrial economic growth. Finally, the enlightenment of the complete article is given.

Analysis of the agglomeration of Chinese manufacturing industries and its effect on economic growth in different regions after entering the new normal

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Entering the new normal of economy symbolises the innovation of growth mode and continuous optimisation and upgradation of economic structure. Using EG index,...

Analysis of the agglomeration of Chinese manufacturing industries and its effect on economic growth in different regions after entering the new normal

Data publikacji: 08 kwi 2021

Zakres stron: 89 - 98

Otrzymano: 25 lis 2020

Przyjęty: 31 sty 2021

DOI: https://doi.org/10.2478/amns.2021.1.00025

Słowa kluczowe
manufacturing industry, industrial agglomeration, economic growth, EG index, GMM analysis

© 2021 Fangxu Ren, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the agglomeration of Chinese manufacturing industries and its effect on economic growth in different regions after entering the new normal

Data publikacji: 08 kwi 2021

Zakres stron: 89 - 98

Otrzymano: 25 lis 2020

Przyjęty: 31 sty 2021

DOI: https://doi.org/10.2478/amns.2021.1.00025

Słowa kluczowemanufacturing industry, industrial agglomeration, economic growth, EG index, GMM analysis

© 2021 Fangxu Ren, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
manufacturing industry, industrial agglomeration, economic growth, EG index, GMM analysis