Strategic emerging industry layout based on analytic hierarchy process and fuzzy comprehensive evaluation: A case study of Sichuan province

• Published in: PloS one Vol. 17; no. 3; p. e0264578
• Main Authors: He, Kai, Zhu, Nan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.03.2022; Public Library of Science (PLoS)
• Subjects: Analytic hierarchy process; Bioengineering; Biology and Life Sciences; Case reports; China; Computer and Information Sciences; Consumption; Decision making; Ecology and Environmental Sciences; Economic growth; Energy conservation; Energy industry; Engineering and Technology; Environmental aspects; Environmental protection; Growth; Information technology; Literature reviews; Manufacturing; Manufacturing industry; Materials conservation; Methods; People and Places; Physical Sciences; Regional development; Social change; Social Sciences; Spatial distribution; SWOT analysis; China; Canada; United Kingdom > UK; Japan
• DOI: 10.1371/journal.pone.0264578
• ISSN: 1932-6203

In the 12th Five-Year Plan period, Sichuan province has selected strategic emerging industries such as new-generation information technology, new energy, high-end equipment manufacturing, new materials, biology, energy conservation and environmental protection. However, its strategic emerging industries are still in the stage of cultivation and development, and there are some problems such as low industrial agglomeration and obvious industrial restructuring. In essence, this is because the focus of the development of strategic emerging industries is not clear enough, and the location advantages are not fully utilized to select the most suitable strategic emerging industries for the development of the region. This paper constructs a regional strategic emerging industries selection decision model, applies ARCGIS to study the spatial distribution of strategic emerging industries in Sichuan province, and uses fuzzy comprehensive evaluation method (FCEM) and analytic hierarchy process (AHP) to solve the priority of developing strategic emerging industries. Conclusions: Firstly, Sichuan province should give priority to the development of new generation information technology industry and new energy vehicle industry, then high-end equipment manufacturing industry, energy-saving and environmental protection industry and new energy industry, and finally biological industry and new material industry. The larger the coefficient of influence is, the higher the comprehensive score is, while the larger the coefficient of sensitivity is, the lower the comprehensive score is. Secondly, the number of enterprises in the new-generation information technology industry and the new energy vehicle industry is still not dominant in Sichuan province. Finally, the study found that the current development of strategic emerging industries in Sichuan province is extremely unbalanced in various regions, and the phenomenon of competition and reconstruction is obvious.