Improving the Sustainability Effectiveness of Traditional Arts and Crafts Using Supply–Demand and Ordered Logistic Regression Techniques in Taiyuan, China

Bo Zhu, Si-Qi Tian and Chien-Chih Wang
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Bo Zhu: School of Statistics, Shanxi University of Finance and Economics, Taiyuan 030006, China
Si-Qi Tian: School of Statistics, Shanxi University of Finance and Economics, Taiyuan 030006, China
Chien-Chih Wang: Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 243303, Taiwan

Sustainability, 2021, vol. 13, issue 21, 1-14

Abstract: The progression of time and shifts in the environment have brought significant changes to traditional arts and crafts of intangible cultural heritage. Consequently, enhancing and objectively assessing the sustainable value of traditional arts and crafts has assumed importance in developing tourism strategies. In China, few scholars have studied policy matching of traditional arts and crafts and intangible cultural heritage. The purpose of this paper is to propose supply–demand models and ordered logistical regression techniques to evaluate the quantitative efficacy of sustainability policies in traditional arts and crafts. The present study focuses on Taiyuan city; empirical study, analysis and results from assessing and analyzing policy measures show that building platforms, organizing exchanges, and hosting competitions and awards are fundamental strategies. The analysis of the efficacy of policy measures shows a positive correlation between price and the quality of arts and crafts products. For every 1% increase in the policy measure, the odds ratio of a sequential price increase is 1.04 times the original value, and the odds ratio of a sequential improvement in the manufacturing of arts and crafts is 1.06 times the original. The research results can be used as a reference to formulate accurate implementation of policies by the relevant departments, thereby accelerating the sustainability of traditional arts and crafts.

Keywords: intangible cultural heritage; cultural preservation; policy matching; questionnaire analysis; statistical techniques; case study (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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