4.7 Article

Queuing to refuel before price rise in China: How do gasoline price changes affect consumer responses and behaviours?

期刊

ENERGY
卷 253, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124166

关键词

Gasoline price; Consumer behaviour; MIR model; Comprehensive analysis; Energy market policy

资金

  1. Major Program of the National Fund of Philosophy and Social Science of China [17ZDA286]
  2. National Natural Science Foundation of China [71971175]

向作者/读者索取更多资源

Chinese consumers are sensitive to gasoline prices, but the sensitivity decreases with continuous price rises. Personal perceptions have a significant effect on consumer behavior and explain the queuing to refuel actions. Gasoline price rises should be no more than 20% over the short term to ensure consumer market stability. Vehicle purchasing behaviors are less sensitive to gasoline prices compared to vehicle using behaviors.
As the largest automobile market in the world, gasoline price has had a profound impact on consumers in China. However, consumers always queue to refuel when gasoline prices rise. To examine the consumer responses and behaviors to gasoline price rise, we built a Motivation-Individuality-Reaction (MIR) model with a novel comprehensive analysis approach that employed a social network-based public survey and a questionnaire-based individual survey. We found that the tax-included gasoline prices are opaque partly because of the neutral public attitude, and while Chinese consumers are sensitive to gasoline prices, the sensitivity appears to decrease when there are continuous price rises. Personal perceptions rather than social-demographics were found to have a significant effect on consumer behaviour, which also explained the queuing to refuel actions. The findings also suggested that gasoline price rises should be no more than 20% over the short term to ensure consumer market stability. Consumer vehicle purchasing behaviours were found to be less sensitive to gasoline prices than vehicle using behaviours, which verified the applicability and effectiveness of the MIR model in analyzing consumer daily behaviours. The proposed model and mixed-methods-based approach could be applied to a wider range of social science based energy research and behavioural economics analysis. (c) 2022 Elsevier Ltd. All rights reserved.

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