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What affects residents’ behavioral intentions to ban gasoline vehicles? Evidence from an emerging economy

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  • Zhang, Xiaoyun
  • Dong, Feng

Abstract

Many countries have clearly proposed a timetable for banning gasoline vehicles to achieve sustainable development of transportation industry. China, the largest emerging economy, is used as an example to explore the public's behavioral intention to bangasoline vehicles. According to the relevant literatures, this paper designs a questionnaire with TPB and ABC as a theoretical framework, which mainly includes four kind of primary variables: psychological factors, environmental concerns and experiences, social factors and product factors. Principal component analysis, Bayes regularization BP neural network, sensitivity analysis and hierarchical linear regression are used to analyze data from 476 valid questionnaires, the results show that psychological factors and social norms have the greatest impact on residents' policy support intentions, what's more, strengthening promotion of the policy and improving subsidies of new energy vehicles could also improve policy acceptance. However, the price of related products such as public transportation and automobile fuel has very little impact on residents' voluntary rejection of fuel vehicles. The results provide a theoretical reference for other countries to promote the policy of banning gasoline vehicles.

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  • Zhang, Xiaoyun & Dong, Feng, 2023. "What affects residents’ behavioral intentions to ban gasoline vehicles? Evidence from an emerging economy," Energy, Elsevier, vol. 263(PB).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222026020
    DOI: 10.1016/j.energy.2022.125716
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    3. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    4. Pan, Yuling & Dong, Feng, 2023. "The impacts of energy finance policies and renewable energy subsidy on energy vulnerability under carbon peaking scenarios," Energy, Elsevier, vol. 273(C).
    5. Liu, Yajie & Dong, Feng & Li, Guoqing & Huang, Jianheng & Yang, Shanshan & Wang, Yulong, 2023. "Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism," Energy, Elsevier, vol. 271(C).
    6. Jiaqi Wu & Wenbo Li & Wenting Xu & Lin Yuan, 2023. "Measuring Resident Participation in the Renewal of Older Residential Communities in China under Policy Change," Sustainability, MDPI, vol. 15(3), pages 1-24, February.
    7. Jiaojiao Sun & Feng Dong, 2023. "Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
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