Evaluation Model and Empirical Study on the Competitiveness of the County Silicon Crystal Industry

Abstract

The silicon crystal industry is an emerging industry that uses silicon ore to obtain crystalline silicon and silicon micropower through processing. The China silicon crystal industry generally suffers from poor market supervision and low added-value products, which decreases the industry’s competitiveness and affects overall economic development. This study used the SWOT–PEST model to analyze the internal and external factors, constructed the county competitiveness evaluation index system with four dimensions and 20 variables, and used the gray correlation evaluation model to conduct empirical research on data on the competitiveness of the silicon crystal industry in Suichuan and in another three counties. Compared with the industrial competitiveness in the other three counties, the competitiveness in Suichuan County is still relatively low, but it has been increasing rapidly in recent years. The silicon crystal industry in Suichuan County has great advantages, such as resource endowment, energy, and policy support. The main factors affecting the competitiveness of the silicon crystal industry in Suichuan County are the number of brands, the situation of foreign exports, and the output of silicon products. Therefore, Suichuan County should adjust the silicon crystal industry based on these evaluation results to promote the sustainable development of this industry.

Green Mining Strategy Selection via an Integrated SWOT-PEST Analysis and Fuzzy AHP-MARCOS Approach

“…The environmental factors of traditional SWOT analysis are complex. To classify the complex factors clearly and provide a reference for subsequent strategy formulation, Dong et al [37] integrated the variables of the selected environmental factors into politics, the economy, society, and technology by introducing the PEST tool, which provides a clear direction for the analysis of SWOT environmental factors [38].…”