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Does smart transportation matter in inhibiting carbon inequality?

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  • Dong, Kangyin
  • Ni, Guohua
  • Taghizadeh-Hesary, Farhad
  • Zhao, Congyu

Abstract

The phenomenon of carbon inequality may endanger equal and sustainable social development, which deserves our full attention. This study empirically investigates whether and how smart transportation affect carbon inequality based on a balanced penal dataset of China's 30 provinces from 2002 to 2017. We first examine the impact of smart transportation on carbon inequality using the system-generalized method of moments, and then explore their heterogeneous nexus. We also investigate the direct and indirect impacts of smart transition on carbon inequality. The main findings show that: (1) The development of smart transportation effectively mitigates carbon inequality; an increase in smart transportation by 1% can trigger a decrease in carbon inequality by 0.0119%. (2) Smart transportation has a greater inhibitory effect on carbon inequality in provinces where there are comparatively lower levels of industrial structure and residential consumption. (3) The influence of transportation technology on carbon inequality outweighs that of other sub-indicators of smart transportation; nonetheless, the transportation infrastructure aggregates carbon inequality. (4) The channels through which smart transportation works on carbon inequality include energy consumption and carbon emissions efficiency. We put forward practical policy implications for the eradication of carbon inequality and the development of smart transportation.

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  • Dong, Kangyin & Ni, Guohua & Taghizadeh-Hesary, Farhad & Zhao, Congyu, 2023. "Does smart transportation matter in inhibiting carbon inequality?," Energy Economics, Elsevier, vol. 126(C).
    • Handle: RePEc:eee:eneeco:v:126:y:2023:i:c:s0140988323004504
    DOI: 10.1016/j.eneco.2023.106952
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    as
    1. Jin, Tanhua & Cheng, Long & Wang, Kailai & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Examining equity in accessibility to multi-tier healthcare services across different income households using estimated travel time," Transport Policy, Elsevier, vol. 121(C), pages 1-13.
    2. Dadon-Golan, Zehorit & BenDavid-Hadar, Iris & Klein, Joseph, 2019. "Revisiting educational (in)equity: Measuring educational Gini coefficients for Israeli high schools during the years 2001–2011," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.
    3. Soytas, Ugur & Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "Economic and environmental implications of the nuclear power phase-out in Belgium: Insights from time-series models and a partial differential equations algorithm," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 241-256.
    4. Kangyin Dong & Jun Zhao & Xiaohang Ren & Yukun Shi, 2023. "Environmental regulation, human capital, and pollutant emissions: the case of SO2 emissions for China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 21(1), pages 111-135, January.
    5. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    6. Boyce, James K. & Zwickl, Klara & Ash, Michael, 2016. "Measuring environmental inequality," Ecological Economics, Elsevier, vol. 124(C), pages 114-123.
    7. Beattie, Graham & Ding, Iza & La Nauze, Andrea, 2022. "Is there an energy efficiency gap in China? Evidence from an information experiment," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    8. Neyapti, Bilin & Bulut-Cevik, Zeynep Burcu, 2014. "Fiscal efficiency, redistribution and welfare," Economic Modelling, Elsevier, vol. 41(C), pages 375-382.
    9. Dinggen Zhou & Yanguang Liu & Xiaohang Ren & Cheng Yan & Yukun Shi, 2022. "Economic agglomeration and product quality upgrading: evidence from China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(4), pages 377-395, October.
    10. Heran Zheng & Yin Long & Richard Wood & Daniel Moran & Zengkai Zhang & Jing Meng & Kuishuang Feng & Edgar Hertwich & Dabo Guan, 2022. "Author Correction: Ageing society in developed countries challenges carbon mitigation," Nature Climate Change, Nature, vol. 12(6), pages 593-593, June.
    11. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
    12. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LLC, vol. 9(1), pages 86-136, March.
    13. Dorfman, Robert, 1979. "A Formula for the Gini Coefficient," The Review of Economics and Statistics, MIT Press, vol. 61(1), pages 146-149, February.
    14. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    15. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    16. Cheong, Tsun Se & Wu, Yanrui, 2014. "The impacts of structural transformation and industrial upgrading on regional inequality in China," China Economic Review, Elsevier, vol. 31(C), pages 339-350.
    17. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    19. Li, Haoyang & Wu, Nan, 2022. "Emission pricing, emission rebound, and the coverage scope of incomplete regulations," Journal of Environmental Economics and Management, Elsevier, vol. 113(C).
    20. 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.
    21. Heran Zheng & Yin Long & Richard Wood & Daniel Moran & Zengkai Zhang & Jing Meng & Kuishuang Feng & Edgar Hertwich & Dabo Guan, 2022. "Ageing society in developed countries challenges carbon mitigation," Nature Climate Change, Nature, vol. 12(3), pages 241-248, March.
    22. Wang, Yihan & Xiong, Siqin & Ma, Xiaoming, 2022. "Carbon inequality in global trade: Evidence from the mismatch between embodied carbon emissions and value added," Ecological Economics, Elsevier, vol. 195(C).
    23. Che, Yi & Lu, Yi & Tao, Zhigang & Wang, Peng, 2013. "The impact of income on democracy revisited," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 159-169.
    24. Ren, Xiaohang & Zeng, Gudian & Zhao, Yang, 2023. "Digital finance and corporate ESG performance: Empirical evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    25. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    26. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    27. Ren, Yi & Tian, Yuan & Xiao, Xue, 2022. "Spatial effects of transportation infrastructure on the development of urban agglomeration integration: Evidence from the Yangtze River Economic Belt," Journal of Transport Geography, Elsevier, vol. 104(C).
    28. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
    29. Wang, Yanxia & Gan, Shaojun & Li, Kang & Chen, Yanyan, 2022. "Planning for low-carbon energy-transportation system at metropolitan scale: A case study of Beijing, China," Energy, Elsevier, vol. 246(C).
    30. Dong, Kangyin & Jiang, Qingzhe & Shahbaz, Muhammad & Zhao, Jun, 2021. "Does low-carbon energy transition mitigate energy poverty? The case of natural gas for China," Energy Economics, Elsevier, vol. 99(C).
    31. Cao, Jie & Pang, Bin & Mo, Xiaoping & Xu, Fangyan, 2016. "A new model that using transfer stations for straw collection and transportation in the rural areas of China: A case of Jinghai, Tianjin," Renewable Energy, Elsevier, vol. 99(C), pages 911-918.
    32. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    33. Ghazy, Shams & Tang, Yu Hoe & Mugumya, Kevin Luwemba & Wong, Jing Ying & Chan, Andy, 2022. "Future-proofing Klang Valley’s veins with REBET: A framework for directing transportation technologies towards infrastructure resilience," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    34. Zhao, Jun & Shahbaz, Muhammad & Dong, Xiucheng & Dong, Kangyin, 2021. "How does financial risk affect global CO2 emissions? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    35. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    36. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    37. Ma, Shaoyue & Xu, Xiangbo & Li, Chang & Zhang, Linxiu & Sun, Mingxing, 2021. "Energy consumption inequality decrease with energy consumption increase: Evidence from rural China at micro scale," Energy Policy, Elsevier, vol. 159(C).
    38. Yang, Tingru & Li, Hui & Zhang, Lingyue & Chen, Tianqi, 2022. "The impact of city gas on income inequality in China: A regional heterogeneity analysis," Energy Policy, Elsevier, vol. 169(C).
    39. Soytas, Ugur & Sari, Ramazan, 2009. "Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member," Ecological Economics, Elsevier, vol. 68(6), pages 1667-1675, April.
    40. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    41. Biresselioglu, Mehmet Efe & Kilinc, Dilara & Onater-Isberk, Esra & Yelkenci, Tezer, 2016. "Estimating the political, economic and environmental factors’ impact on the installed wind capacity development: A system GMM approach," Renewable Energy, Elsevier, vol. 96(PA), pages 636-644.
    42. Wang, Qiang & Zhang, Chen & Li, Rongrong, 2022. "Towards carbon neutrality by improving carbon efficiency - A system-GMM dynamic panel analysis for 131 countries’ carbon efficiency," Energy, Elsevier, vol. 258(C).
    43. Li, Xing & Guo, Yue & Hou, Jiani & Liu, Jun, 2021. "Human Capital Allocation and Enterprise Innovation Performance: An Example of China's Knowledge-Intensive Service Industry," Research in International Business and Finance, Elsevier, vol. 58(C).
    44. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    45. Zhao, Guangchuan & Cao, Xinbang & Ma, Chao, 2020. "Accounting for horizontal inequity in the delivery of health care: A framework for measurement and decomposition," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 13-24.
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    More about this item

    Keywords

    Carbon inequality; Smart transportation; Heterogeneous analysis; Impact mechanism; China;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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