Research on the coordinated development evaluation of manufacturing and logistics industry: a case study of Jiangsu province and Shandong province

Purpose The integrated and coordinated development of the manufacturing and logistics industries is crucial for promoting deep integration and innovative development between the two sectors. It aids in reducing costs and enhancing efficiency, which is significant for high-quality economic growth and the acceleration of modern industrial system construction. Design/methodology/approach This paper explores the integrated development status of the two industries in Shandong and Jiangsu provinces. Based on the relevant data of 44 indicators from the manufacturing and logistics industries in these provinces from 2010 to 2021, a comprehensive evaluation index system is constructed. The study employs coupling coordination degree and grey correlation models to comparatively analyze the integrated development status of the two industries in the provinces. Findings The findings indicate that the coupling coordination degree of Jiangsu and Shandong provinces has shown a gentle spiraling upward trend. By 2021, Jiangsu province had achieved intermediate coordination, and Shandong province had achieved good coordination. The grey correlation degree is within the moderate and strong correlation range, but the impact of efficiency indicators is weak. Research limitations/implications The research has limitations, including a focus on specific provinces, potential data constraints and a need for further exploration of the dynamic and influencing factors of the industries' coordinated development for more comprehensive conclusions. Practical implications The research provides practical significance by offering insights into the coordinated development of manufacturing and logistics industries, which can inform policymaking and strategic planning for regional economic integration and supply chain efficiency. Social implications The study’s findings offer actionable insights for policymakers, promoting regional economic synergy and supply chain optimization. It emphasizes the crucial role of industry integration in advancing high-quality economic growth, aligning with modern industrial system development goals. Originality/value This research’s innovation lies in its comprehensive evaluation index system and the application of coupling coordination degree and grey relational analysis models, offering a nuanced assessment of the integrated development between manufacturing and logistics industries in Jiangsu and Shandong provinces. It provides valuable insights for policymakers aiming to enhance regional economic integration and supply chain efficiency.

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Publication Details

Journal
Asia Pacific Journal of Marketing and Logistics
Published
2024-12-13
DOI
https://doi.org/10.1108/apjml-07-2024-0912
Citations
4
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
1.46
Controls
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article

Research on the coordinated development evaluation of manufacturing and logistics industry: a case study of Jiangsu province and Shandong province

Rongkun Liu, F. Zhao
4 citations
Asia Pacific Journal of Marketing and Logistics
Evaluation and Optimization Models
1.46
article

Research on the coordinated development evaluation of manufacturing and logistics industry: a case study of Jiangsu province and Shandong province

Rongkun Liu, F. Zhao
article en
4 citations

Abstract

Purpose The integrated and coordinated development of the manufacturing and logistics industries is crucial for promoting deep integration and innovative development between the two sectors. It aids in reducing costs and enhancing efficiency, which is significant for high-quality economic growth and the acceleration of modern industrial system construction. Design/methodology/approach This paper explores the integrated development status of the two industries in Shandong and Jiangsu provinces. Based on the relevant data of 44 indicators from the manufacturing and logistics industries in these provinces from 2010 to 2021, a comprehensive evaluation index system is constructed. The study employs coupling coordination degree and grey correlation models to comparatively analyze the integrated development status of the two industries in the provinces. Findings The findings indicate that the coupling coordination degree of Jiangsu and Shandong provinces has shown a gentle spiraling upward trend. By 2021, Jiangsu province had achieved intermediate coordination, and Shandong province had achieved good coordination. The grey correlation degree is within the moderate and strong correlation range, but the impact of efficiency indicators is weak. Research limitations/implications The research has limitations, including a focus on specific provinces, potential data constraints and a need for further exploration of the dynamic and influencing factors of the industries' coordinated development for more comprehensive conclusions. Practical implications The research provides practical significance by offering insights into the coordinated development of manufacturing and logistics industries, which can inform policymaking and strategic planning for regional economic integration and supply chain efficiency. Social implications The study’s findings offer actionable insights for policymakers, promoting regional economic synergy and supply chain optimization. It emphasizes the crucial role of industry integration in advancing high-quality economic growth, aligning with modern industrial system development goals. Originality/value This research’s innovation lies in its comprehensive evaluation index system and the application of coupling coordination degree and grey relational analysis models, offering a nuanced assessment of the integrated development between manufacturing and logistics industries in Jiangsu and Shandong provinces. It provides valuable insights for policymakers aiming to enhance regional economic integration and supply chain efficiency.

Asia Pacific Journal of Marketing and LogisticsVol. 37(7)
Shandong Normal University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Evaluation and Optimization Models
1.46
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