Factors affecting the purchasing decisions of carbon label products in Muang District, Chiang Mai Province

Authors

  • อัญชณา คุ้มญาติ
  • ขนิษฐา เสถียรพีระกุล
  • วราภรณ์ ปัญญาวดี
  • เก นันทะเสน

Keywords:

Carbon label product, Purchasing decision, Logistic regression, Chiang Mai

Abstract

This study aims to present the factors which influence the decision to purchase carbon label product in Muang district, Chiang Mai province by using logistic regression model. The result of 400 consumer samples found that the majority are female, aged between 21-40 years, bachelor degree, average of monthly income 16,717 baht and the unknown carbon label product is 69.75 percent. After sampling received carbon
information, the factor analysis found that statistically significant at a confidence level of 95 percent consist of; 1) Male are likely decide to purchase carbon label product increased as compared with female 8.94 percent. 2) Consumer who has increased by one hundred baht from the average of sampling’s income are likely to decide to purchase carbon unchanged. 3) Consumer who has carbon label information are like to
decide to buy carbon label product more that unknown of information 4 percent. 4) Consumers who had positive attitude with carbon label product are likely to be a consumer who buy more of carbon label products as compared with consumer who had bad attitude of label 1.04 percent and 5) Promotion of carbon label product by pricing will influence to the decision of consumer buy more product 1.25 percent. Thus the creating of positive attitude, the knowledge of carbon label product and the promoting of carbon label product consume would be support by the government and private sector to motivate and expand product market which is friendly for environment and also reduce the greenhouse effect as along with the government policies.

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Published

2019-09-04

How to Cite

คุ้มญาติ อ., เสถียรพีระกุล ข., ปัญญาวดี ว., & นันทะเสน เ. (2019). Factors affecting the purchasing decisions of carbon label products in Muang District, Chiang Mai Province. Research and Development Journal Suan Sunandha Rajabhat University, 8(2), 151. Retrieved from https://so05.tci-thaijo.org/index.php/irdssru/article/view/214504

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