Acceptability toward Policy Mix: Impact of Low-Carbon Travel Intention, Fairness, and Effectiveness

Author:

Wang Xue1,Feng Suwei1,Tang Tianyi2

Affiliation:

1. Department of Public Administration, School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China

2. School of Social and Political Sciences, University of Glasgow, 25 Bute Gardens, Glasgow G12 8RS, UK

Abstract

Policymakers are implementing a combination of various travel demand management (TDM) policies to effectively reduce carbon emissions. Widespread acceptance of these policy mixes by residents plays a pivotal role in ensuring their successful implementation. Drawing upon the value–belief–norm (VBN) theory and policy-specific beliefs (perceived freedom, perceived fairness, and perceived effectiveness), this study evaluates the impact of low-carbon travel psychology and policy characteristics on the acceptability of a policy mix formed by the combination of mandatory measures and guiding measures within TDM. The empirical analysis leverages survey data obtained from 839 participants and employs a structural equation model. The results indicate that low-carbon travel willingness, perceived fairness, and perceived effectiveness significantly influence acceptability. Consequently, fostering low-carbon travel willingness among residents is essential for enhancing overall policy acceptability. Moreover, policy mixes that encompass incentives for the development of new energy vehicles (NEVs) are generally considered the most acceptable among residents due to their non-restrictive impact on private car usage. Given this analysis, policymakers should consider designing policy mixes that balance acceptability and effectiveness, such as incorporating policies for the development of NEVs, to address traffic pollution.

Funder

National Natural Science Foundation of China

the Innovation Project of the Shanghai University of Finance and Economics Graduate Education

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference87 articles.

1. (2023, September 15). Information Sourced from the International Energy Agency. Available online: https://www.iea.org/.

2. Cross-Cutting Scenarios and Strategies for Designing Decarbonization Pathways in the Transport Sector toward Carbon Neutrality;Zhang;Nat. Commun.,2022

3. The Heterogeneous Effect of Driving Factors on Carbon Emission Intensity in the Chinese Transport Sector: Evidence from Dynamic Panel Quantile Regression;Huang;Sci. Total Environ.,2020

4. Steg, L., and Vlek, C. (1997). Traffic and Transport Psychology. Theory and Application, Elsevier.

5. Addressing Transport Policy Challenges through Policy-Packaging;Givoni;Transp. Res. Part Policy Pract.,2014

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