Author(s)

AiYong Lin, YaJie Zhang^*, Xue Wu

Affiliation(s)

Business School, Suzhou University, Suzhou 234000, Jiangsu, China.

Corresponding Author

YaJie Zhang

ABSTRACT

The scientific assessment of regional industrial transfer capacity and the identification of its key determinants are crucial for fostering high-quality regional coordination and facilitating a smooth domestic economic cycle. This study proposes a data-driven framework for the comprehensive evaluation of regional industrial transfer capacity and the systematic identification of its influencing factors. Methodologically, we construct an evaluation index system based on three dimensions: industrial attraction, industrial support, and industrial development. The entropy-weighted TOPSIS model is employed to assess the development level of regional industrial transfer and analyze its evolutionary trends. Furthermore, an obstacle degree model is applied to pinpoint the key constraints hindering industrial transfer capacity, enabling the formulation of targeted policy recommendations. Empirically, we examine industrial transfer succession across cities in Anhui Province from 2015 to 2023. The results reveal a spatially heterogeneous pattern characterized by "one core with multiple nodes." Key obstacles include inefficiencies in sci-tech innovation input-output and suboptimal levels of openness to foreign markets. This study contributes a robust analytical tool for regional industrial transfer decision-making, offering both theoretical insights and practical guidance for industrial structure upgrading and agglomeration development.

KEYWORDS

Industrial transfer; Anhui province; Entropy weight TOPSIS model; Obstacle degree model

CITE THIS PAPER

AiYong Lin, YaJie Zhang, Xue Wu. Assessing and enhancing Anhui province's industrial transfer capacity: a multidimensional approach. World Journal of Economics and Business Research. 2025, 3(2): 20-32. DOI: https://doi.org/10.61784/wjebr3042.

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