Influencing factors of consumer willingness to pay for cold chain logistics: an empirical analysis in China

被引:0
|
作者
Fang Rong
Yajuan Zhang
Zhuang Wang
Yu Li
机构
[1] Northeast Agricultural University,College of Economics and Management
[2] Northeast Agricultural University,College of Science
关键词
Cold chain logistics; Willingness to pay; Double hurdle model; Theory of planned behavior; Premium payment;
D O I
暂无
中图分类号
学科分类号
摘要
The utilization rate of cold chain logistics in China is far lower than that in developed countries. The reasons are its high cost and low social willingness to pay. However, there is little research on the willingness of Chinese consumers to pay for cold chain logistics. Here, based on the theory of planned behavior, according to the survey data of 711 consumers in 9 cities, the improved CVM estimation method and double hurdle model are used to analyze factors influencing Chinese consumer willingness to pay for cold chain logistics and the degree of the premium payment willingness. The results show that the household income and education level of consumers, government supervision of cold chain logistics and support subsidies are the most significant impacts. Family monthly income of 15,000 yuan and bachelor degree is the dividing line of consumers’ willingness from weak to strong; the maximum premium payment of consumers is 41.7% of the original price. Therefore, with the increase of income and education level in China, consumers will more and more accept to pay the cost of cold-chain logistics, and the premium of payment will be relatively high. At the same time, the government should further improve industry standards, strengthen supervision and subsidies, and ultimately increase the utilization rate of cold chain logistics in China.
引用
下载
收藏
页码:3279 / 3285
页数:6
相关论文
共 50 条
  • [21] Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China
    Liu, Rong
    Liu, Xiaojun
    Pan, Bingbing
    Zhu, Hui
    Yuan, Zhaokang
    Lu, Yuanan
    SUSTAINABILITY, 2018, 10 (05)
  • [22] The willingness to pay for agricultural irrigation water and the influencing factors in the Dujiangyan irrigation area: An empirical double-hurdle model analysis
    Tang, Hong
    Yang, Zhongjian
    Guo, Zepeng
    Yang, Chuan
    Huang, Feng
    Ran, Ruiping
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [23] Influencing Factors of Agricultural Products Cold Chain Logistics Development Based on ISM Model
    Zhao, Yuanyuan
    WIRELESS PERSONAL COMMUNICATIONS, 2023,
  • [24] Factors affecting consumer preferences and willingness to pay for artichoke products
    Segovia, M. S.
    Palma, M. A.
    Leskovar, D. I.
    IX INTERNATIONAL SYMPOSIUM ON ARTICHOKE, CARDOON AND THEIR WILD RELATIVES, 2016, 1147 : 271 - 280
  • [25] Factors influencing willingness to pay for sustainable apparel: A literature review
    Tey, Yeong Sheng
    Brindal, Mark
    Dibba, Haddy
    JOURNAL OF GLOBAL FASHION MARKETING, 2018, 9 (02) : 129 - 147
  • [26] The Influencing Factors of University Teachers' Willingness to Disclose Inventions - Empirical Study from China
    Zhou, Xianyong
    Li, Shicheng
    Tang, Zhihong
    Chen, Shuang
    REVISTA DE CERCETARE SI INTERVENTIE SOCIALA, 2020, 68 : 113 - 127
  • [27] Factors influencing the willingness to pay for on-farm water infrastructure
    Kovacs, K. F.
    Lee, J. Y.
    Henry, C.
    Krutz, L. J.
    Nayga, R. M., Jr.
    Tsiboe, F.
    JOURNAL OF SOIL AND WATER CONSERVATION, 2019, 74 (03) : 259 - 268
  • [28] Sustainable Traceability in the Food Supply Chain: The Impact of Consumer Willingness to Pay
    Sun, Shengnan
    Wang, Xinping
    Zhang, Yan
    SUSTAINABILITY, 2017, 9 (06)
  • [29] Factors influencing willingness-to-pay for the ENERGY STAR® label
    Ward, David O.
    Clark, Christopher D.
    Jensen, Kimberly L.
    Yen, Steven T.
    Russell, Clifford S.
    ENERGY POLICY, 2011, 39 (03) : 1450 - 1458
  • [30] Evaluating and Analyzing the Efficiency and Influencing Factors of Cold Chain Logistics in China's Major Urban Agglomerations under Carbon Constraints
    He, Meiling
    Yang, Mei
    Wu, Xiaohui
    Pu, Jun
    Izui, Kazuhiro
    SUSTAINABILITY, 2024, 16 (05)