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Evaluating Pillar Industry's Transformation Capability: A Case Study of Two Chinese Steel-Based Cities.

Li Z, Marinova D, Guo X, Gao Y - PLoS ONE (2015)

Bottom Line: Many steel-based cities in China were established between the 1950s and 1960s.Using Text Mining and the Document Explorer technique as a way of extracting text features, the 200 most frequently used words are derived from 100 publications related to steel- and other resource-based cities.Using real data and expert reviews, the improved Fuzzy Relation Matrix (FRM) method is applied to two case studies in China, namely Panzhihua and Daye, and the evaluation model is developed using Fuzzy Comprehensive Evaluation (FCE).

View Article: PubMed Central - PubMed

Affiliation: School of Management, Hefei University of Technology and Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, China; Curtin University Sustainability Policy (CUSP) Institute, Curtin University, Perth, Australia.

ABSTRACT
Many steel-based cities in China were established between the 1950s and 1960s. After more than half a century of development and boom, these cities are starting to decline and industrial transformation is urgently needed. This paper focuses on evaluating the transformation capability of resource-based cities building an evaluation model. Using Text Mining and the Document Explorer technique as a way of extracting text features, the 200 most frequently used words are derived from 100 publications related to steel- and other resource-based cities. The Expert Evaluation Method (EEM) and Analytic Hierarchy Process (AHP) techniques are then applied to select 53 indicators, determine their weights and establish an index system for evaluating the transformation capability of the pillar industry of China's steel-based cities. Using real data and expert reviews, the improved Fuzzy Relation Matrix (FRM) method is applied to two case studies in China, namely Panzhihua and Daye, and the evaluation model is developed using Fuzzy Comprehensive Evaluation (FCE). The cities' abilities to carry out industrial transformation are evaluated with concerns expressed for the case of Daye. The findings have policy implications for the potential and required industrial transformation in the two selected cities and other resource-based towns.

No MeSH data available.


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Substitute Industries’ Development Capacity.
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pone.0139576.g004: Substitute Industries’ Development Capacity.

Mentions: Figs 2–4 show a comparison between Panzhihua and Daye and differences in their capacity for industrial transformation. The biggest differences between Panzhihua and Daye are in the pillar industry’s continuous improvement capacity and industry transformation capacity. Both are “good” for Panzhihua but “average” for Daye. Although the improvement capacity for the substitute industries is “good” for Panzhihua and “average” for Daye, the differences between the actual figures are small. The main indicators for these differences are mineral reserves, foreign capital investment, output of high-tech industries and rate of profit in the existing pillar industry. There is very little that a government can do in relation to mineral reserves and the profit of the existing pillar industry, however it can encourage foreign investment and high-tech industries development. The local governments of Panzhihua and Daye can support the development of high-tech industries and facilitate the flow of foreign capital by using the experience of mature cities, with the aim to improve the industry transformative capacity of these steel-based cities.


Evaluating Pillar Industry's Transformation Capability: A Case Study of Two Chinese Steel-Based Cities.

Li Z, Marinova D, Guo X, Gao Y - PLoS ONE (2015)

Substitute Industries’ Development Capacity.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4589354&req=5

pone.0139576.g004: Substitute Industries’ Development Capacity.
Mentions: Figs 2–4 show a comparison between Panzhihua and Daye and differences in their capacity for industrial transformation. The biggest differences between Panzhihua and Daye are in the pillar industry’s continuous improvement capacity and industry transformation capacity. Both are “good” for Panzhihua but “average” for Daye. Although the improvement capacity for the substitute industries is “good” for Panzhihua and “average” for Daye, the differences between the actual figures are small. The main indicators for these differences are mineral reserves, foreign capital investment, output of high-tech industries and rate of profit in the existing pillar industry. There is very little that a government can do in relation to mineral reserves and the profit of the existing pillar industry, however it can encourage foreign investment and high-tech industries development. The local governments of Panzhihua and Daye can support the development of high-tech industries and facilitate the flow of foreign capital by using the experience of mature cities, with the aim to improve the industry transformative capacity of these steel-based cities.

Bottom Line: Many steel-based cities in China were established between the 1950s and 1960s.Using Text Mining and the Document Explorer technique as a way of extracting text features, the 200 most frequently used words are derived from 100 publications related to steel- and other resource-based cities.Using real data and expert reviews, the improved Fuzzy Relation Matrix (FRM) method is applied to two case studies in China, namely Panzhihua and Daye, and the evaluation model is developed using Fuzzy Comprehensive Evaluation (FCE).

View Article: PubMed Central - PubMed

Affiliation: School of Management, Hefei University of Technology and Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, China; Curtin University Sustainability Policy (CUSP) Institute, Curtin University, Perth, Australia.

ABSTRACT
Many steel-based cities in China were established between the 1950s and 1960s. After more than half a century of development and boom, these cities are starting to decline and industrial transformation is urgently needed. This paper focuses on evaluating the transformation capability of resource-based cities building an evaluation model. Using Text Mining and the Document Explorer technique as a way of extracting text features, the 200 most frequently used words are derived from 100 publications related to steel- and other resource-based cities. The Expert Evaluation Method (EEM) and Analytic Hierarchy Process (AHP) techniques are then applied to select 53 indicators, determine their weights and establish an index system for evaluating the transformation capability of the pillar industry of China's steel-based cities. Using real data and expert reviews, the improved Fuzzy Relation Matrix (FRM) method is applied to two case studies in China, namely Panzhihua and Daye, and the evaluation model is developed using Fuzzy Comprehensive Evaluation (FCE). The cities' abilities to carry out industrial transformation are evaluated with concerns expressed for the case of Daye. The findings have policy implications for the potential and required industrial transformation in the two selected cities and other resource-based towns.

No MeSH data available.


Related in: MedlinePlus