02582nas a2200373   4500000000100000000000100001000000100002008004100003260000800044653000800052653001500060653002100075653002200096653002600118653003300144653001400177653001800191653002000209653002800229653002400257653001100281653002700292653002800319653001900347653001200366100001100378700001500389700002000404245015900424856014400583490000700727520145400734022002002188       2021                            d  cnov10aart10aCase study10acraft production10acultural heritage10aCultural preservation10aIntangible cultural heritage10alogistics10amanufacturing10aPolicy matching10aQuestionnaire analy-sis10aregression analysis10aShanxi10aStatistical techniques10asupply chain management10aSustainability10aTaiyuan1 aBo Zhu1 aSi-Qi Tian1 aChien-Chih Wang00aImproving the Sustainability Effectiveness of Traditional Arts and Crafts Using Supply-Demand and Ordered Logistic Regression Techniques in Taiyuan, China  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118136999&doi=10.3390%2fsu132111725&partnerID=40&md5=222caed014aa76b60225726b5711e3b40 v133 aThe 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.  a20711050 (ISSN)