Analysis of Improvement Effects in Strategic Emerging Industries Based on the Combined Coefficient Method

This paper evaluates the improvement effects of strategic emerging industries (SEIs) using the entropy weight method, coefficient of variation method, and combined coefficient method. The study highlights that the “New Energy Vehicles” sector consistently scores highest across all methods, particularly with a score of 0.5007 in the coefficient of variation method, reflecting its strong market potential and growth momentum. Conversely, the “Marine Equipment” sector shows the lowest scores, indicating challenges and a relatively weaker position within SEIs. Additionally, a text analysis of enterprise feedback emphasizes the importance of “Training,” “Improvement,” “Quality,” and “Certification” in the enhancement actions. The findings suggest that government and relevant agencies should tailor their support to address the specific needs of underperforming sectors while focusing on key areas identified by enterprises, particularly in training and policy incentives, to ensure sustainable and high-quality development.

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Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733080
Primary Topic
Regional Development and Environment
Type
article
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Analysis of Improvement Effects in Strategic Emerging Industries Based on the Combined Coefficient Method

Yunpeng Chen, Chang Liu, Xi Qianqian, Miao Chunzhang
Regional Development and Environment
article

Analysis of Improvement Effects in Strategic Emerging Industries Based on the Combined Coefficient Method

Yunpeng Chen, Chang Liu, Xi Qianqian, Miao Chunzhang
article en

Abstract

This paper evaluates the improvement effects of strategic emerging industries (SEIs) using the entropy weight method, coefficient of variation method, and combined coefficient method. The study highlights that the “New Energy Vehicles” sector consistently scores highest across all methods, particularly with a score of 0.5007 in the coefficient of variation method, reflecting its strong market potential and growth momentum. Conversely, the “Marine Equipment” sector shows the lowest scores, indicating challenges and a relatively weaker position within SEIs. Additionally, a text analysis of enterprise feedback emphasizes the importance of “Training,” “Improvement,” “Quality,” and “Certification” in the enhancement actions. The findings suggest that government and relevant agencies should tailor their support to address the specific needs of underperforming sectors while focusing on key areas identified by enterprises, particularly in training and policy incentives, to ensure sustainable and high-quality development.

Development Research Center of the State Council (CN), Communication University of China (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Regional Development and Environment
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Analysis of Improvement Effects in Strategic Emerging Industries Based on the Combined Coefficient Method — Yunpeng Chen, Chang Liu, et al. · (2024) | TGRS Research Map | TGRS