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The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector

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  • Zhang, Yue-Jun
  • Liu, Zhao
  • Zhou, Si-Ming
  • Qin, Chang-Xiong
  • Zhang, Huan

Abstract

The Central Rise Policy has been implemented by Chinese government since 2006, which includes a series of CO2 emissions reduction measures for the road sector so as to give full play to the advantage of transportation hubs in central China, as well as to coordinate the development of economy and environment. However, the effectiveness of these measures is still obscure. This paper first adopts the spatial difference-in-differences (SDID) model to evaluate the effect of the Central Rise Policy on CO2 emissions at the stage of operation in road sector in the six provinces in central China, then explores whether there is CO2 rebound effect diminishing the effect of the Central Rise Policy based on the Linear Approximation of the Almost Ideal Demand System (LA-AIDS) model. The results show that, first, the impact of the Central Rise Policy on CO2 emissions at the stage of operation in road sector proves relatively weak during 2006–2015. Second, the energy intensity and, total turnover of the road sector, highway mileage, fuel mixture and population density produce negative spatial spillover effect, whereas the per capita CO2 emissions of the road sector shows the opposite. Finally, the CO2 rebound effect is an important factor for the effect of Central Rise Policy on CO2 emissions at the stage of operation in road sector, and the average total CO2 rebound effect for the road sector is 8.01% in the six central provinces.

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  • 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.
  • Handle: RePEc:eee:ecmode:v:71:y:2018:i:c:p:159-173
    DOI: 10.1016/j.econmod.2017.12.009
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    as
    1. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    2. Louis Beuuséjour & Gordon Lenjosek & Michael Smart, 1995. "A CGE Approach to Modelling Carbon Dioxide Emissions Control in Canada and the United States," The World Economy, Wiley Blackwell, vol. 18(3), pages 457-488, May.
    3. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.
    4. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    5. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    6. Gupta, Monika, 2016. "Willingness to pay for carbon tax: A study of Indian road passenger transport," Transport Policy, Elsevier, vol. 45(C), pages 46-54.
    7. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    8. Lin, Boqiang & Yang, Fang & Liu, Xia, 2013. "A study of the rebound effect on China's current energy conservation and emissions reduction: Measures and policy choices," Energy, Elsevier, vol. 58(C), pages 330-339.
    9. Huo, Hong & Yao, Zhiliang & He, Kebin & Yu, Xin, 2011. "Fuel consumption rates of passenger cars in China: Labels versus real-world," Energy Policy, Elsevier, vol. 39(11), pages 7130-7135.
    10. Matos, Fernando J.F. & Silva, Francisco J.F., 2011. "The rebound effect on road freight transport: Empirical evidence from Portugal," Energy Policy, Elsevier, vol. 39(5), pages 2833-2841, May.
    11. Guo, Fei & Kurdgelashvili, Lado & Bengtsson, Magnus & Akenji, Lewis, 2016. "Analysis of achievable residential energy-saving potential and its implications for effective policy interventions: A study of Xiamen city in southern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 507-520.
    12. Gebel, Michael & Voßemer, Jonas, 2014. "The impact of employment transitions on health in Germany. A difference-in-differences propensity score matching approach," Social Science & Medicine, Elsevier, vol. 108(C), pages 128-136.
    13. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    14. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    15. Hermansson, Cecilia & Song, Han-Suck, 2016. "Financial advisory services meetings and their impact on saving behavior – A difference-in-difference analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 131-139.
    16. Baltagi, Badi H. & Blien, Uwe & Wolf, Katja, 2012. "A dynamic spatial panel data approach to the German wage curve," Economic Modelling, Elsevier, vol. 29(1), pages 12-21.
    17. Lin, Boqiang & Liu, Xia, 2013. "Electricity tariff reform and rebound effect of residential electricity consumption in China," Energy, Elsevier, vol. 59(C), pages 240-247.
    18. Turner, Karen & Hanley, Nick, 2011. "Energy efficiency, rebound effects and the environmental Kuznets Curve," Energy Economics, Elsevier, vol. 33(5), pages 709-720, September.
    19. Bretschger, Lucas & Zhang, Lin, 2017. "Carbon policy in a high-growth economy: The case of China," Resource and Energy Economics, Elsevier, vol. 47(C), pages 1-19.
    20. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    21. Scheraga, Joel D. & Leary, Neil A., 1992. "Improving the efficiency of policies to reduce CO2 emissions," Energy Policy, Elsevier, vol. 20(5), pages 394-404, May.
    22. Burnett, J. Wesley & Bergstrom, John C. & Dorfman, Jeffrey H., 2013. "A spatial panel data approach to estimating U.S. state-level energy emissions," Energy Economics, Elsevier, vol. 40(C), pages 396-404.
    23. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    24. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    25. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63, Elsevier.
    26. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    27. Roy, Joyashree, 2000. "The rebound effect: some empirical evidence from India," Energy Policy, Elsevier, vol. 28(6-7), pages 433-438, June.
    28. Christopher L. Magee & Tessaleno C. Devezas, 2016. "A Simple extension of Dematerialization Theory: Incorporation of Technical Progress and the Rebound Effect," Papers 1602.00090, arXiv.org.
    29. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    30. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    31. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
    32. Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
    33. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    34. Bang, James T. & Mitra, Aniruddha & Wunnava, Phanindra V., 2016. "Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case," Economic Modelling, Elsevier, vol. 58(C), pages 394-402.
    35. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2015. "The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design," Economic Modelling, Elsevier, vol. 51(C), pages 38-52.
    36. Talbi, Besma, 2017. "CO2 emissions reduction in road transport sector in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 232-238.
    37. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.
    38. Fukasaku, Yukiko, 1995. "Energy and environment policy integration: The case of energy conservation policies and technologies in Japan," Energy Policy, Elsevier, vol. 23(12), pages 1063-1076, December.
    39. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1323-1343, June.
    40. Gippner, Olivia & Torney, Diarmuid, 2017. "Shifting policy priorities in EU-China energy relations: Implications for Chinese energy investments in Europe," Energy Policy, Elsevier, vol. 101(C), pages 649-658.
    41. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    42. 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.
    43. Pablo-Romero, M.P. & Cruz, L. & Barata, E., 2017. "Testing the transport energy-environmental Kuznets curve hypothesis in the EU27 countries," Energy Economics, Elsevier, vol. 62(C), pages 257-269.
    44. Adom, Philip Kofi & Amakye, Kwaku & Barnor, Charles & Quartey, George & Bekoe, William, 2016. "Shift in demand elasticities, road energy forecast and the persistence profile of shocks," Economic Modelling, Elsevier, vol. 55(C), pages 189-206.
    45. Barker, Terry & Ekins, Paul & Foxon, Tim, 2007. "The macro-economic rebound effect and the UK economy," Energy Policy, Elsevier, vol. 35(10), pages 4935-4946, October.
    46. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    47. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    48. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    49. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    50. Balta-Ozkan, Nazmiye & Yildirim, Julide & Connor, Peter M., 2015. "Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach," Energy Economics, Elsevier, vol. 51(C), pages 417-429.
    51. 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.
    52. Wagner, David Vance & An, Feng & Wang, Cheng, 2009. "Structure and impacts of fuel economy standards for passenger cars in China," Energy Policy, Elsevier, vol. 37(10), pages 3803-3811, October.
    53. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
    54. Zhi-Fu Mi & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2014. "Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing," CEEP-BIT Working Papers 51, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    55. 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.
    56. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    57. Mizobuchi, Kenichi, 2008. "An empirical study on the rebound effect considering capital costs," Energy Economics, Elsevier, vol. 30(5), pages 2486-2516, September.
    58. Fu, Miao & Andrew Kelly, J., 2012. "Carbon related taxation policies for road transport: Efficacy of ownership and usage taxes, and the role of public transport and motorist cost perception on policy outcomes," Transport Policy, Elsevier, vol. 22(C), pages 57-69.
    59. Hao, Yu & Liu, Yiming & Weng, Jia-Hsi & Gao, Yixuan, 2016. "Does the Environmental Kuznets Curve for coal consumption in China exist? New evidence from spatial econometric analysis," Energy, Elsevier, vol. 114(C), pages 1214-1223.
    60. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
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