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How Does Digital Economy Influence Green Mobility for Sustainable Development? Moderating Effect of Policy Instruments

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  • Xingmin Yin

    (School of Economics, Ocean University of China, Qingdao 266100, China)

  • Jing Zhang

    (School of Economics, Ocean University of China, Qingdao 266100, China)

  • Xiaochen Zheng

    (Business School, Hunan First Normal University, Changsha 410205, China)

Abstract

The role of green mobility as a low-carbon lifestyle in carbon reduction and sustainable development cannot be ignored. The digital economy effectively promotes green mobility for sustainable energy use in the broader setting of the significant data era and sustainable development. This study utilizes the panel data of 264 cities in China from 2011 to 2021 to construct a two-way fixed-effects regression model to analyze the impact of the digital economy on residents’ green mobility and the indirect impact mechanism of the two policy tools, a low-carbon transportation pilot and carbon emissions trading, from theoretical and empirical aspects. The results show that digital economic development helps promote residents’ green mobility. In addition, the implementation of low-carbon transportation pilots and carbon trading policies has strengthened the role of the digital economy in promoting green mobility. The findings remain after introducing robustness tests such as “smart city” pilots as exogenous shock policies. A heterogeneity study suggests that the effect of the digital economy on green mobility for residents is more significant in economically developed and human capital-rich areas. This study contributes to the literature by providing empirical evidence on the role of the digital economy in promoting sustainable urban transportation and by demonstrating the moderating effects of policy instruments, thereby offering practical insights for policymakers aiming to reduce urban pollution and enhance sustainable development.

Suggested Citation

  • Xingmin Yin & Jing Zhang & Xiaochen Zheng, 2024. "How Does Digital Economy Influence Green Mobility for Sustainable Development? Moderating Effect of Policy Instruments," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:21:p:9316-:d:1507393
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    1. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Deborah L. Bleviss, 2021. "Transportation is critical to reducing greenhouse gas emissions in the United States," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(2), March.
    3. Werner, Carol M. & Brown, Barbara B. & Tribby, Calvin P. & Tharp, Doug & Flick, Kristi & Miller, Harvey J. & Smith, Ken R. & Jensen, Wyatt, 2016. "Evaluating the attractiveness of a new light rail extension: Testing simple change and displacement change hypotheses," Transport Policy, Elsevier, vol. 45(C), pages 15-23.
    4. Denis Michalina & Peter Mederly & Hans Diefenbacher & Benjamin Held, 2021. "Sustainable Urban Development: A Review of Urban Sustainability Indicator Frameworks," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    5. Reid Ewing & Shima Hamidi, 2014. "Longitudinal Analysis of Transit's Land Use Multiplier in Portland (OR)," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(2), pages 123-137, April.
    6. Diao, Mi, 2019. "Towards sustainable urban transport in Singapore: Policy instruments and mobility trends," Transport Policy, Elsevier, vol. 81(C), pages 320-330.
    7. Sarmad Ali & Adalberto Rangone & Muhammad Farooq, 2022. "Corporate Taxation and Firm-Specific Determinants of Capital Structure: Evidence from the UK and US Multinational Firms," JRFM, MDPI, vol. 15(2), pages 1-17, January.
    8. Nathan Nunn & Nancy Qian, 2014. "US Food Aid and Civil Conflict," American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
    9. Singfat Chu, 2014. "Mitigating supply and price volatilities in Singapore’s vehicle quota system," Transportation, Springer, vol. 41(5), pages 1119-1134, September.
    10. Teodoro Rafael Wendlandt Amézaga & José Luis Camarena & Roberto Celaya Figueroa & Karla Alejandra Garduño Realivazquez, 2022. "Measuring sustainable development knowledge, attitudes, and behaviors: evidence from university students in Mexico," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 765-788, January.
    11. Wu, Yang Andrew & Ng, Artie W. & Yu, Zichao & Huang, Jie & Meng, Ke & Dong, Z.Y., 2021. "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," Energy Policy, Elsevier, vol. 148(PB).
    12. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    13. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    14. Lin, Boqiang & Shi, Lei, 2022. "Do environmental quality and policy changes affect the evolution of consumers’ intentions to buy new energy vehicles," Applied Energy, Elsevier, vol. 310(C).
    15. Ma, Miaomiao & Meng, Weidong & Li, Yuyu & Huang, Bo, 2023. "Impact of dual credit policy on new energy vehicles technology innovation with information asymmetry," Applied Energy, Elsevier, vol. 332(C).
    16. Lindsey, Marshall & Schofer, Joseph L. & Durango-Cohen, Pablo & Gray, Kimberly A., 2010. "Relationship between proximity to transit and ridership for journey-to-work trips in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 697-709, November.
    17. Suwei Feng & Qiang Li, 2018. "Evaluating the car ownership control policy in Shanghai: a structural vector auto-regression approach," Transportation, Springer, vol. 45(1), pages 205-232, January.
    18. Gascon, Mireia & Marquet, Oriol & Gràcia-Lavedan, Esther & Ambròs, Albert & Götschi, Thomas & Nazelle, Audrey de & Panis, Luc Int & Gerike, Regine & Brand, Christian & Dons, Evi & Eriksson, Ulf & Iaco, 2020. "What explains public transport use? Evidence from seven European cities," Transport Policy, Elsevier, vol. 99(C), pages 362-374.
    19. Priessner, Alfons & Sposato, Robert & Hampl, Nina, 2018. "Predictors of electric vehicle adoption: An analysis of potential electric vehicle drivers in Austria," Energy Policy, Elsevier, vol. 122(C), pages 701-714.
    20. Ma, Miaomiao & Meng, Weidong & Huang, Bo & Li, Yuyu, 2023. "The influence of dual credit policy on new energy vehicle technology innovation under demand forecast information asymmetry," Energy, Elsevier, vol. 271(C).
    21. Diao, Qinghua & Sun, Wei & Yuan, Xinmei & Li, Lili & Zheng, Zhi, 2016. "Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies," Applied Energy, Elsevier, vol. 178(C), pages 567-578.
    22. Tan Yigitcanlar & Md. Kamruzzaman, 2019. "Smart Cities and Mobility: Does the Smartness of Australian Cities Lead to Sustainable Commuting Patterns?," Journal of Urban Technology, Taylor & Francis Journals, vol. 26(2), pages 21-46, April.
    23. Peraphan Jittrapirom & Valeria Caiati & Anna-Maria Feneri & Shima Ebrahimigharehbaghi & María J. Alonso González & Jishnu Narayan, 2017. "Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges," Urban Planning, Cogitatio Press, vol. 2(2), pages 13-25.
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