Quantitative Evaluation of Policy Based on PMC Index Model: A Case Study of China’s Textile Industry Policy

• Published in: Mathematical problems in engineering Vol. 2022; pp. 1 - 17
• Main Authors: Liu, Yu, Zhao, Hong
• Format: Journal Article
• Language: English
• Published: New York Hindawi 09.06.2022; John Wiley & Sons, Inc
• Subjects: Accounting; Clothing industry; Content analysis; Decision making; Economic development; Export taxes; Grounded theory; Industrial development; Industrial policy; Optimization; Quantitative analysis; Textile fibers; Textile industry; Texts; China
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2022/1870185

The intelligence information collection and analysis of textile industry policy, scientific evaluation of the effectiveness of the textile industry policy, and formulation scientific policy optimization path have practical significance to promote the development of textile industry. China’s textile and apparel exports are the largest in the world, and the healthy development of China’s textile industry not only promotes China’s economic development but also greatly affects the development of the world textile industry. However, most of the existing studies are based on content analysis of high-frequency words in policy texts and lack of quantitative evaluation of textile industrial policies. Based on 126 textile industry policy texts published from 2014 to 2020, this paper innovatively combines the grounded theory with the PMC index model to construct a policy effectiveness measurement index with the characteristics of the textile industry. Ten textile industry policy samples are selected to empirically study the PMC index policy evaluation model of textile industry policy effectiveness. Furthermore, using PMC curved surface to visualize the internal structure of textile industry policy and the measurement results of policy effectiveness. The results show that the average PMC index of 10 textile industry policy samples is 4.31, which is excellent. From the PMC scores of the nine primary variables of the sample, the content and functions of China’s textile industry policy formulation are relatively scientific and comprehensive. However, the policy nature and decision-making subject are single, and the incentive guarantee is relatively weak, which needs to be further improved. The quantitative evaluation of China’s textile industry policy provides a scientific basis for improving the content and effectiveness of the textile industry policy. This investigation offers a fresh perspective on policy evaluation research of other industries.