IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16531-d1293606.html
   My bibliography  Save this article

A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry

Author

Listed:
  • Yumeng Mao

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100091, China)

  • Xuemei Li

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100091, China)

Abstract

Green development in the transportation industry is a new type of development. As the huge energy consumption and carbon emissions generated by the transportation industry have caused many environmental problems, the healthy and environmentally friendly mode of industrial development has received more and more attention. However, the quantification of green development in the transportation industry varies in terms of boundaries, scope, and methods. Due to digital empowerment, the degree of influence and direction of the factors affecting the green development are not fixed. The prediction of future development prospects is relatively single-minded, lacking a comprehensive simulation scenario setting from multiple perspectives. This paper systematically reviews the research progress of green development of the transportation industry from three aspects: development performance assessment, influence mechanism analysis, and development path exploration. After a critical analysis, this study concludes that (1) a clear methodology is needed to assess the direct and indirect non-desired output results of the transportation industry; (2) considering the endogenization of the level of technology, the influence of the interaction between the influencing factors, etc., on the degree and direction of the role of the factors, a more scientific econometric model should be established for in-depth discussion; (3) resident travel options are an important factor affecting environmental issues in transportation. Carbon emission projections and analyses of emission reduction scenarios should integrate the multiple possibilities of residential preferences and policy incentives. The findings of this paper provide valuable references to the energy saving and emission reduction goals of the transportation industry, and the coordinated development of the industry and the economy.

Suggested Citation

  • Yumeng Mao & Xuemei Li, 2023. "A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry," Sustainability, MDPI, vol. 15(23), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16531-:d:1293606
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16531/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/23/16531/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fang, Kai & Tang, Yiqi & Zhang, Qifeng & Song, Junnian & Wen, Qi & Sun, Huaping & Ji, Chenyang & Xu, Anqi, 2019. "Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces," Applied Energy, Elsevier, vol. 255(C).
    2. Chiodi, Alessandro & Gargiulo, Maurizio & Rogan, Fionn & Deane, J.P. & Lavigne, Denis & Rout, Ullash K. & Ó Gallachóir, Brian P., 2013. "Modelling the impacts of challenging 2050 European climate mitigation targets on Ireland’s energy system," Energy Policy, Elsevier, vol. 53(C), pages 169-189.
    3. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    4. Gupta, Monika & Bandyopadhyay, Kaushik Ranjan & Singh, Sanjay K., 2019. "Measuring effectiveness of carbon tax on Indian road passenger transport: A system dynamics approach," Energy Economics, Elsevier, vol. 81(C), pages 341-354.
    5. Wang, Shaojian & Liu, Xiaoping, 2017. "China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces," Applied Energy, Elsevier, vol. 200(C), pages 204-214.
    6. Ioannis Chatziioannou & Luis Alvarez-Icaza & Efthimios Bakogiannis & Charalampos Kyriakidis & Luis Chias-Becerril, 2020. "A Structural Analysis for the Categorization of the Negative Externalities of Transport and the Hierarchical Organization of Sustainable Mobility’s Strategies," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    7. Ian W. H. Parry & Kenneth A. Small, 2009. "Should Urban Transit Subsidies Be Reduced?," American Economic Review, American Economic Association, vol. 99(3), pages 700-724, June.
    8. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    9. Kong, Deyang & Xia, Quhong & Xue, Yixi & Zhao, Xin, 2020. "Effects of multi policies on electric vehicle diffusion under subsidy policy abolishment in China: A multi-actor perspective," Applied Energy, Elsevier, vol. 266(C).
    10. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    11. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    12. Rehman, Faheem Ur & Islam, Md. Monirul & Miao, Qing, 2023. "Environmental sustainability via green transportation: A case of the top 10 energy transition nations," Transport Policy, Elsevier, vol. 137(C), pages 32-44.
    13. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    14. Hong, Sungjun & Chung, Yanghon & Kim, Jongwook & Chun, Dongphil, 2016. "Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 549-559.
    15. Shahbaz, Muhammad & Khraief, Naceur & Jemaa, Mohamed Mekki Ben, 2015. "On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: Evidence from combined cointegration tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 89-100.
    16. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    17. De Borger, Bruno & Mulalic, Ismir, 2012. "The determinants of fuel use in the trucking industry—volume, fleet characteristics and the rebound effect," Transport Policy, Elsevier, vol. 24(C), pages 284-295.
    18. Saboori, Behnaz & Sapri, Maimunah & bin Baba, Maizan, 2014. "Economic growth, energy consumption and CO2 emissions in OECD (Organization for Economic Co-operation and Development)'s transport sector: A fully modified bi-directional relationship approach," Energy, Elsevier, vol. 66(C), pages 150-161.
    19. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    20. Palmer, Karen & Paul, Anthony & Keyes, Amelia, 2018. "Changing baselines, shifting margins: How predicted impacts of pricing carbon in the electricity sector have evolved over time," Energy Economics, Elsevier, vol. 73(C), pages 371-379.
    21. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    22. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    23. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    24. Liu, Xiaoping & Ou, Jinpei & Chen, Yimin & Wang, Shaojian & Li, Xia & Jiao, Limin & Liu, Yaolin, 2019. "Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures," Applied Energy, Elsevier, vol. 238(C), pages 1163-1178.
    25. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Llorca, Manuel & Jamasb, Tooraj, 2017. "Energy efficiency and rebound effect in European road freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 98-110.
    2. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    3. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    4. Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
    5. Anwar, Ahsan & Sharif, Arshian & Fatima, Saba & Ahmad, Paiman & Sinha, Avik & Khan, Syed Abdul Rehman & Jermsittiparsert, Kittisak, 2021. "The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach," MPRA Paper 108160, University Library of Munich, Germany, revised 2021.
    6. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    7. Elena Cigu & Daniela Tatiana Agheorghiesei & Anca Florentina Gavriluță (Vatamanu) & Elena Toader, 2018. "Transport Infrastructure Development, Public Performance and Long-Run Economic Growth: A Case Study for the Eu-28 Countries," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    8. Manuel Frondel & Colin Vance, 2018. "Drivers’ response to fuel taxes and efficiency standards: evidence from Germany," Transportation, Springer, vol. 45(3), pages 989-1001, May.
    9. Yu, Xuewei & Moreno-Cruz, Juan & Crittenden, John C., 2015. "Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA," Energy Policy, Elsevier, vol. 87(C), pages 250-259.
    10. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    11. Galvin, Ray & Dütschke, Elisabeth & Weiß, Julika, 2021. "A conceptual framework for understanding rebound effects with renewable electricity: A new challenge for decarbonizing the electricity sector," Renewable Energy, Elsevier, vol. 176(C), pages 423-432.
    12. Galvin, Ray & Martulli, Alessandro & Ruzzenenti, Franco, 2021. "Does power curb energy efficiency? Evidence from two decades of European truck tests," Energy, Elsevier, vol. 232(C).
    13. Franco Ruzzenenti, 2018. "The Prism of Elasticity in Rebound Effect Modelling: An Insight from the Freight Transport Sector," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    14. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    15. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    16. Ştefan Cristian Gherghina & Mihaela Onofrei & Georgeta Vintilă & Daniel Ştefan Armeanu, 2018. "Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    17. Galvin, Ray, 2016. "Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation," Applied Energy, Elsevier, vol. 172(C), pages 207-216.
    18. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    19. Vance, Colin & Frondel, Manuel, 2015. "From fuel taxation to efficiency standards: A wrong turn in European climate protection?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113171, Verein für Socialpolitik / German Economic Association.
    20. Liu, Xingjian & Wang, Mingshu & Qiang, Wei & Wu, Kang & Wang, Xiaomi, 2020. "Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions," Applied Energy, Elsevier, vol. 261(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16531-:d:1293606. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.