A study on the synergy of manufacturing development in the Nanjing Metropolitan Area based on the entropy weight method: assessment and empirical analysis
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A study on the synergy of manufacturing development in the Nanjing Metropolitan Area based on the entropy weight method: assessment and empirical analysis

Qingxin Zhu 1, Xinrui Ma 2* Di Wu 3
1 Jinling Institute of Technology, No. 99 Hongjing Avenue, Nanjing, Jiangsu Province, 211169, China
2 Jinling Institute of Technology, No. 99 Hongjing Avenue, Nanjing, Jiangsu Province, 211169, China
3 Jinling Institute of Technology, No. 99 Hongjing Avenue, Nanjing, Jiangsu Province, 211169, China
*Corresponding author: maxxr9i@outlook.com
Published on 5 September 2025
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JAEPS Vol.18 Issue 8
ISSN (Print): 2977-571X
ISSN (Online): 2977-5701
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Abstract

This study focuses on eight cities within the Nanjing Metropolitan Area (NMA) and takes the manufacturing industry of the NMA as the research object. Using data from 2015 to 2020, we apply the orderliness model and the coupling coordination model. Ten manufacturing sectors within the NMA are selected, and a two-level evaluation index system for the NMA’s manufacturing industry is established to measure the development level of the sector and to explore its development trends. The results indicate that high-level advantageous industries overlap among the cities in the NMA; the external orderliness of the metropolitan manufacturing sector exhibits heterogeneity in the secondary subsystem; and the coupling and coordination among the manufacturing industries of the cities within the metropolitan area show relatively small differences. Based on these findings and the functional positioning of the eight cities, targeted recommendations are proposed for the future development of the NMA’s manufacturing industry.

Keywords:

Nanjing Metropolitan Area, manufacturing industry, orderliness, coupling coordination degree, location quotient

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Zhu,Q.;Ma,X.;Wu,D. (2025). A study on the synergy of manufacturing development in the Nanjing Metropolitan Area based on the entropy weight method: assessment and empirical analysis. Journal of Applied Economics and Policy Studies,18(8),63-76.

References

[1]. Yin, Y., & Xu, Z. (2022). The coupling synergy effect of economic and environment in developed area: An empirical study from the Yangtze River Delta urban agglomeration in China.International Journal of Environmental Research and Public Health,19(12), 7444. https: //doi.org/10.3390/ijerph19127444

[2]. Zhu, K., & Sun, W. (2023). Collaborative agglomeration level and spatial correlation of intercity manufacturing industry: An empirical study based on the cities of the Yangtze River Delta. [Journal name not provided].

[3]. Wang, Z., Zhou, S., & Wan, F. (2024). Spatial distribution and collaborative agglomeration of manufacturing and producer services in the Nanjing metropolitan area.Yunnan Geographic and Environmental Research,36(03), 1–8+16.

[4]. Wen, Q., & Ma, H. (2022). Analysis of industrial collaborative development level in the Urumqi metropolitan area: Based on order degree and composite system synergy model.National Circulation Economy,(01), 133–136.

[5]. Zhang, J., Shan, Y., Jiang, S., Xin, B., Miao, Y., & Zhang, Y. (2024). Study on the coordinated development degree of new quality productivity and manufacturing carbon emission efficiency in provincial regions of China. [Journal name not provided].

[6]. Zeng, P., Wei, X., & Duan, Z. (2022). Coupling and coordination analysis in urban agglomerations of China: Urbanization and ecological security perspectives. https: //doi.org/10.1016/j.jclepro.2022.132730

[7]. Liu, K., & Liu, X. (2024). Spatial spillover effects of industrial collaborative agglomeration on new-type urbanization: Evidence from the Yangtze River Economic Belt.Productivity Research, (04), 12–16.

[8]. Wang, Y., Xu, J., & Liu, D. (2023). Spatiotemporal characteristics of built-up area expansion in the Nanjing metropolitan area based on industrial development big data.Tropical Geography,43(05), 821–836.

[9]. Xu, H., Li, H., & Liu, W. (2021). A 15-year study of regional green space change in the Nanjing metropolitan area.Journal of Northwest Forestry University,36(05), 215–222.

[10]. Revilla Diez, J. (1999). Innovative networks in manufacturing: Some empirical evidence from the metropolitan area of Barcelona. https: //doi.org/10.1016/S0166-4972(99)00112-1

[11]. Simachev, Y., Fedyunina, A., Yurevich, M., Kuzyk, M., & Gorodny, N. (n.d.). New strategic approaches to gaining from emerging advanced manufacturing markets. Center for Industrial Policy Studies, National Research University Higher School of Economics, Moscow, Russia.

[12]. Ge, W. J. (2022). Nanjing metropolitan area: History, development, and prospects.China Investment (Bilingual Edition), (Z3), 56–63.

[13]. Cao, D., Zhang, Y., & Yan, C. (2022). Regional development report of the Nanjing metropolitan area.Statistics Science and Practice, (09), 47–50.

[14]. Chen, F. Y. (2022). Are industrial structures complementary among cities in the Nanjing metropolitan area? An empirical study based on industrial coordination evaluation.Journal of Jinling Institute of Technology (Social Science Edition), 01, 9–16. https: //doi.org/10.16515/j.cnki.32-1745/c.2022.01.002

[15]. Wei, S., & Qian, F. (2021). Economic integration development and optimization strategies of the Nanjing metropolitan area.New Finance,(09), 24–29.

[16]. Hu, X. E. (2023). Research on coordinated development of logistics and manufacturing from the perspective of spatial agglomeration.Commercial Economic Research, (22), 180–183.

[17]. Wang, S. (2024). Effects of coordinated agglomeration of logistics and manufacturing on high-quality development of commerce and trade circulation.Commercial Economic Research,(07), 171–174.

[18]. Ding, B. Y. (2018). Pharma Industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains. https: //doi.org/10.1016/j.psep.2018.06.031

References

[1]. Yin, Y., & Xu, Z. (2022). The coupling synergy effect of economic and environment in developed area: An empirical study from the Yangtze River Delta urban agglomeration in China.International Journal of Environmental Research and Public Health,19(12), 7444. https: //doi.org/10.3390/ijerph19127444

[2]. Zhu, K., & Sun, W. (2023). Collaborative agglomeration level and spatial correlation of intercity manufacturing industry: An empirical study based on the cities of the Yangtze River Delta. [Journal name not provided].

[3]. Wang, Z., Zhou, S., & Wan, F. (2024). Spatial distribution and collaborative agglomeration of manufacturing and producer services in the Nanjing metropolitan area.Yunnan Geographic and Environmental Research,36(03), 1–8+16.

[4]. Wen, Q., & Ma, H. (2022). Analysis of industrial collaborative development level in the Urumqi metropolitan area: Based on order degree and composite system synergy model.National Circulation Economy,(01), 133–136.

[5]. Zhang, J., Shan, Y., Jiang, S., Xin, B., Miao, Y., & Zhang, Y. (2024). Study on the coordinated development degree of new quality productivity and manufacturing carbon emission efficiency in provincial regions of China. [Journal name not provided].

[6]. Zeng, P., Wei, X., & Duan, Z. (2022). Coupling and coordination analysis in urban agglomerations of China: Urbanization and ecological security perspectives. https: //doi.org/10.1016/j.jclepro.2022.132730

[7]. Liu, K., & Liu, X. (2024). Spatial spillover effects of industrial collaborative agglomeration on new-type urbanization: Evidence from the Yangtze River Economic Belt.Productivity Research, (04), 12–16.

[8]. Wang, Y., Xu, J., & Liu, D. (2023). Spatiotemporal characteristics of built-up area expansion in the Nanjing metropolitan area based on industrial development big data.Tropical Geography,43(05), 821–836.

[9]. Xu, H., Li, H., & Liu, W. (2021). A 15-year study of regional green space change in the Nanjing metropolitan area.Journal of Northwest Forestry University,36(05), 215–222.

[10]. Revilla Diez, J. (1999). Innovative networks in manufacturing: Some empirical evidence from the metropolitan area of Barcelona. https: //doi.org/10.1016/S0166-4972(99)00112-1

[11]. Simachev, Y., Fedyunina, A., Yurevich, M., Kuzyk, M., & Gorodny, N. (n.d.). New strategic approaches to gaining from emerging advanced manufacturing markets. Center for Industrial Policy Studies, National Research University Higher School of Economics, Moscow, Russia.

[12]. Ge, W. J. (2022). Nanjing metropolitan area: History, development, and prospects.China Investment (Bilingual Edition), (Z3), 56–63.

[13]. Cao, D., Zhang, Y., & Yan, C. (2022). Regional development report of the Nanjing metropolitan area.Statistics Science and Practice, (09), 47–50.

[14]. Chen, F. Y. (2022). Are industrial structures complementary among cities in the Nanjing metropolitan area? An empirical study based on industrial coordination evaluation.Journal of Jinling Institute of Technology (Social Science Edition), 01, 9–16. https: //doi.org/10.16515/j.cnki.32-1745/c.2022.01.002

[15]. Wei, S., & Qian, F. (2021). Economic integration development and optimization strategies of the Nanjing metropolitan area.New Finance,(09), 24–29.

[16]. Hu, X. E. (2023). Research on coordinated development of logistics and manufacturing from the perspective of spatial agglomeration.Commercial Economic Research, (22), 180–183.

[17]. Wang, S. (2024). Effects of coordinated agglomeration of logistics and manufacturing on high-quality development of commerce and trade circulation.Commercial Economic Research,(07), 171–174.

[18]. Ding, B. Y. (2018). Pharma Industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains. https: //doi.org/10.1016/j.psep.2018.06.031

Cite this article

Zhu,Q.;Ma,X.;Wu,D. (2025). A study on the synergy of manufacturing development in the Nanjing Metropolitan Area based on the entropy weight method: assessment and empirical analysis. Journal of Applied Economics and Policy Studies,18(8),63-76.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Journal: Journal of Applied Economics and Policy Studies

Volume number: Vol.18
Issue number: Issue 8
ISSN: 2977-5701(Print) / 2977-571X(Online)

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