MEASUREMENT OF MUNICIPAL NEW-QUALITY PRODUCTIVE FORCES AND REGIONAL DIFFERENCES

Guided by the policy of developing new-quality productive forces in light of local conditions, this paper takes panel data (2015-2024) of five core cities in Jiangxi including Nanchang, Ganzhou, Jiujiang, Shangrao and Yichun as research samples. An evaluation system for municipal new-quality productive forces is constructed covering scientific-technological, green and digital dimensions. The entropy-weight improved AHP-TOPSIS model is adopted for comprehensive measurement, so as to analyze its temporal evolution and regional differentiation. The results show that the overall level of new-quality productive forces of the five cities presents a fluctuating upward trend, which can be divided into three stages: steady accumulation, accelerated improvement and adjustment-divergence. Obvious echelon gaps exist among cities. Nanchang takes the lead, Ganzhou ranks second, Shangrao shows strong late-comer momentum, while Jiujiang and Yichun suffer from remarkable fluctuation and decline. Green productivity enjoys sound intra-provincial balance yet meets promotion bottlenecks; inter-city gaps are prominent in scientific-technological and digital productivity. Most cities are confronted with insufficient S&T investment, weak digital industrial foundation and heavy pressure of industrial transformation. Targeted suggestions are put forward on consolidating industrial foundation, strengthening innovation drive, promoting digital-real economy integration, advancing differentiated green-low-carbon transition, optimizing regional coordination and institutional guarantee. It provides empirical support for fostering municipal new-quality productive forces in Jiangxi.

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Publication Details

Journal
World Journal of Management Science
Published
2026-11-07
DOI
https://doi.org/10.61784/wms3130
Primary Topic
Digital Economy and Transformation
Type
article
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MEASUREMENT OF MUNICIPAL NEW-QUALITY PRODUCTIVE FORCES AND REGIONAL DIFFERENCES

HuaiXiong Huang, HongYan Zhao
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World Journal of Management Science
Digital Economy and Transformation
article

MEASUREMENT OF MUNICIPAL NEW-QUALITY PRODUCTIVE FORCES AND REGIONAL DIFFERENCES

HuaiXiong Huang, HongYan Zhao
article en

Abstract

Guided by the policy of developing new-quality productive forces in light of local conditions, this paper takes panel data (2015-2024) of five core cities in Jiangxi including Nanchang, Ganzhou, Jiujiang, Shangrao and Yichun as research samples. An evaluation system for municipal new-quality productive forces is constructed covering scientific-technological, green and digital dimensions. The entropy-weight improved AHP-TOPSIS model is adopted for comprehensive measurement, so as to analyze its temporal evolution and regional differentiation. The results show that the overall level of new-quality productive forces of the five cities presents a fluctuating upward trend, which can be divided into three stages: steady accumulation, accelerated improvement and adjustment-divergence. Obvious echelon gaps exist among cities. Nanchang takes the lead, Ganzhou ranks second, Shangrao shows strong late-comer momentum, while Jiujiang and Yichun suffer from remarkable fluctuation and decline. Green productivity enjoys sound intra-provincial balance yet meets promotion bottlenecks; inter-city gaps are prominent in scientific-technological and digital productivity. Most cities are confronted with insufficient S&T investment, weak digital industrial foundation and heavy pressure of industrial transformation. Targeted suggestions are put forward on consolidating industrial foundation, strengthening innovation drive, promoting digital-real economy integration, advancing differentiated green-low-carbon transition, optimizing regional coordination and institutional guarantee. It provides empirical support for fostering municipal new-quality productive forces in Jiangxi.

World Journal of Management ScienceVol. 4(6)
Yichun University (CN)
Industry, innovation and infrastructure, Sustainable cities and communities
Openalex Percentile: Top 13%
Digital Economy and Transformation
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