Regional differences of high-quality development level for manufacturing industry in China

Zhi-ying Han; Yong Liu; Xue-ge Guo; Jun-qian Xu; Zhi-ying Han; Yong Liu; Xue-ge Guo; Jun-qian Xu

doi:10.3934/mbe.2022202

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 5: 4368-4395. doi: 10.3934/mbe.2022202

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Regional differences of high-quality development level for manufacturing industry in China

1.
School of Business, Jiangnan University, Wuxi 214122, China
2.
School of accounting, Taihu University of Wuxi, Wuxi 214064, China

Academic Editor: Chiara Giulia Fontanella

Received: 18 December 2021 Revised: 28 January 2022 Accepted: 14 February 2022 Published: 28 February 2022

The development of China's manufacturing industry is still facing the challenge of regional imbalance. To solve the problem of development imbalance, it is necessary to realize regional development. First, we must analyze the development characteristics of different regions. To this end, we consider the requirements of the new development era and design an evaluation index system for the high-quality development level of the manufacturing industry from the dimensions of innovation, green, and efficiency. Then construct a novel hybrid model which combines the grey incidence clustering model and AP algorithm for panel data in this paper. According to the statistical data from 2014 to 2018, we find out the high-quality development of China's manufacturing industry is characterized by obvious regional differences, different development stages and different constraints.
- high-quality,
- development level,
- difference,
- panel data,
- grey incidence
Citation: Zhi-ying Han, Yong Liu, Xue-ge Guo, Jun-qian Xu. Regional differences of high-quality development level for manufacturing industry in China[J]. Mathematical Biosciences and Engineering, 2022, 19(5): 4368-4395. doi: 10.3934/mbe.2022202

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Abstract

The development of China's manufacturing industry is still facing the challenge of regional imbalance. To solve the problem of development imbalance, it is necessary to realize regional development. First, we must analyze the development characteristics of different regions. To this end, we consider the requirements of the new development era and design an evaluation index system for the high-quality development level of the manufacturing industry from the dimensions of innovation, green, and efficiency. Then construct a novel hybrid model which combines the grey incidence clustering model and AP algorithm for panel data in this paper. According to the statistical data from 2014 to 2018, we find out the high-quality development of China's manufacturing industry is characterized by obvious regional differences, different development stages and different constraints.

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