Skip to main content
Log in

Carbon emissions trends with optimal balanced economic growth of China and the USA and some abatement options for China

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

It is believed that the global CO2 emissions have to begin dropping in the near future to limit the temperature increase within 2 degrees by 2100. So it is of great concern to environmentalists and national decision-makers to know how the global or national CO2 emissions would trend. This paper presented an approach to project the future CO2 emissions from the perspective of optimal economic growth, and applied this model to the cases of China and the United States, whose CO2 emissions together contributed to more than 40% of the global emissions. The projection results under the balanced and optimal economic growth path reveal that the CO2 emissions will peak in 2029 for China and 2024 for the USA owing to their empirically implied pace of energy efficiency improvement. Moreover, some abatement options are analyzed for China, which indicate that 1) putting up the energy price will decrease the emissions at a high cost; 2) enhancing the decline rate of energy intensity can significantly mitigate the emissions with a modest cost; and 3) the energy substitution policy of replacing carbon intensive energies with clean ones has considerable potential to alleviate emissions without compromising the economic development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aiyar S, Dalgaard C, 2009. Accounting for productivity: Is it OK to assume that the world is Cobb-Douglas?. Journal of Macroeconomics, 31(2): 290–303.

    Article  Google Scholar 

  • Auffhammer M, Carson R T, 2008. Forecasting the path of China’s CO2 emissions using province-level information. Journal of Environmental Economics and Management, 55: 229–247.

    Article  Google Scholar 

  • Cai W, Wang C, Chen J et al., 2008. Comparison of CO2 emission scenarios and mitigation opportunities in China’s five sectors in 2020. Energy Policy, 36: 1181–1194.

    Article  Google Scholar 

  • Chen W, 2005. The costs of mitigating carbon emissions in China: Findings from China MARKAL-MACRO modeling. Energy Policy, 33(7): 885–896.

    Article  Google Scholar 

  • Commoner B, Corr M, Stamler P, 1971. The Closing Circle: Nature, Man, and Technology. New York: Knopf.

    Google Scholar 

  • Development Research Center of the State Council (DRC), Energy Research Institute of the National Development and Reform Committee (ERI), Institute of Nuclear and New Energy Technology, 2009. 2050 China Energy and CO2 Emissions Report. Beijing: Tsinghua University Press.

    Google Scholar 

  • Dinda S, 2004. Environmental Kuznets curve hypothesis: A survey. Ecological Economics, 49: 431–455.

    Article  Google Scholar 

  • Ehrlich P, Holdren J, 1971. Impact of population growth. Science, 171: 1212–1217.

    Article  Google Scholar 

  • EIA, 2004. International Energy Annual 2002. Washington: EIA Press.

    Google Scholar 

  • EIA, 2011. International Energy Statistics. [2011-12-10]. http://www.eia.gov/cfapps/ipdbproject/IEDIndex3.cfm

    Google Scholar 

  • European Commission (EC), 2003. World Energy, Technology and Climate Policy Outlook: WETO 2030. [2004-06-01]. http://194.185.30.69/energysite/pdf/weto_final_report.pdf.

    Google Scholar 

  • Goldsmith R W, 1951. A perpetual inventory of national wealth. In: NBER Studies in Income and Wealth, National Bureau of Economic Research, New York, 5–61.

    Google Scholar 

  • Goulder H L, Schneider H S, 1999. Induced technological change and the attractiveness of CO2 abatement policies. Resource and Energy Economics, 21: 211–253.

    Article  Google Scholar 

  • Harbaugh W, Levinson A, Wilson D, 2002. Reexamining the empirical evidence for an environmental Kuznets curve. Review of Economics and Statistics, 84: 541–551.

    Article  Google Scholar 

  • IEA, 2004. World Energy Outlook 2004. Paris: OECD/IEA.

    Book  Google Scholar 

  • IEA, 2006. World Energy Outlook 2006. Paris: OECD Publication Service.

    Book  Google Scholar 

  • IEA, 2008. World Energy Outlook 2008. Paris: OECD/IEA.

    Book  Google Scholar 

  • Intergovernmental Panel on Climate Change (IPCC), 2000. Emissions Scenarios. Cambridge: Cambridge University Press.

    Google Scholar 

  • IPCC, 2007a. Climate Change 2007: The Physical Science Basis. Cambridge: Cambridge University Press.

    Google Scholar 

  • IPCC, 2007b. Climate Change 2007: Impacts, Adaptation and Vulnerability. Cambridge: Cambridge University Press.

    Google Scholar 

  • Kaya Y, 1989. Impact of carbon dioxide emission control on GNP growth: Interpretation of proposed scenarios. Paper Presented to the Energy and Industry Subgroup, Response Strategies Working Group, Intergovernmental Panel on Climate Change, Paris.

    Google Scholar 

  • Kumar U, Jain V K, 2010. Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India. Energy, 35(4): 1709–1716.

    Article  Google Scholar 

  • Lantz V, Feng Q, 2006. Assessing income, population, and technology impacts on CO2 emissions in Canada: Where’s the EKC?. Ecological Economics, 57(2): 229–238.

    Article  Google Scholar 

  • Luzzati T, Orsini M, 2009. Investigating the energy-environmental Kuznets curve. Energy, 34(3): 291–300.

    Article  Google Scholar 

  • Miah M D, Masum F H, Koike M, 2010. Global observation of EKC hypothesis for CO2, SOx and NOx emission: A policy understanding for climate change mitigation in Bangladesh. Energy Policy, 38(8): 4643–4651.

    Article  Google Scholar 

  • Moon Y S, Sonn Y H, 1996. Productive energy consumption and economic growth: An endogenous growth model and its empirical application. Resource and Energy Economics, 18: 189–200.

    Article  Google Scholar 

  • National Bureau of Statistics of China (NBSC), 2011. China Statistical Yearbook 2010. Beijing: China Statistical Press.

    Google Scholar 

  • Nordhaus W D, 2008. A Question of Balance: Weighing the Options on Global Warming Policies. New Haven: Yale University Press.

    Google Scholar 

  • Park S, Lee Y, 2011. Regional model of EKC for air pollution: Evidence from the Republic of Korea. Energy Policy, 39(10): 5840–5849.

    Article  Google Scholar 

  • Popp D, 2004. ENTICE: Endogenous technical change in the DICE model of global warming. Journal of Environmental Economics and Management, 48: 742–768.

    Article  Google Scholar 

  • Ryu H K, 2011. Subjective model selection rules versus passive model selection rules. Economic Modelling, 28: 459–472.

    Article  Google Scholar 

  • Schmalensee R, Stoker T M, Judson R A, 1998. World carbon dioxide emission: 1950–2050. The Review of Economics and Statistics, 80(1): 85–101.

    Article  Google Scholar 

  • SEI (Stockholm Environment Institute), 2005. User Guide for LEAP 2005. Boston: Tellus Institute.

    Google Scholar 

  • Stern N, 2007. The Economics of Climate Change: The Stern Review. New York: Cambridge University Press.

    Google Scholar 

  • Svirezhev Y, Brovkin V, von Bloh W et al., 1999. Optimisation of reduction of global CO2 emission based on a simple model of the carbon cycle. Environmental Modeling and Assessment, 4(1): 23–33.

    Article  Google Scholar 

  • Wang J Y, Lin L, 2006. Analysis on labor force participation rate and labor supply in the future in China. Population Journal, (4): 19–24. (in Chinese)

    Google Scholar 

  • Wang T, Watson J, 2008. Carbon Emission Scenarios for China to 2100. Tyndall Centre Working Paper 121, The Tyndall Centre for Climate Change Research.

    Google Scholar 

  • Wang T, Watson J, 2010. Scenario analysis of China’s emissions pathways in the 21st century for low carbon transition. Energy Policy, 38: 3537–3546.

    Article  Google Scholar 

  • Wang Y, 2013. Functional sensitivity of testing the environmental Kuznets curve hypothesis. Resource and Energy Economics, http://dx.doi.org/10.1016/j.reseneeco.2013.01.003.

    Google Scholar 

  • Weitzman M L, 2007. Subjective expectations and asset-return puzzles. The American Economic Review, 97: 1102–1130.

    Article  Google Scholar 

  • WRI, 2005. Navigating the Numbers: Greenhouse Gas Data and International Climate Policy. [2013-05-08]. http://www.wri.org/publication/navigating-the-numbers.

    Google Scholar 

  • Zhang J, Wu G Y, Zhang J P, 2004. The estimation of China’s provincial capital stock: 1952–2000. Economic Research Journal, 10: 35–44. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zheng Wang.

Additional information

Foundation: National Basic Research Program of China (973 Program), No.2012CB955804; National Science Foundation of China, No.41201594; CAS Strategic Priority Research Program, No.XDA05150502

Author: Wang Zheng (1954-), Ph.D and Professor, specialized in economics of climate change.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, Z., Zhu, Y. & Peng, Y. Carbon emissions trends with optimal balanced economic growth of China and the USA and some abatement options for China. J. Geogr. Sci. 23, 991–1004 (2013). https://doi.org/10.1007/s11442-013-1058-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-013-1058-y

Keywords

Navigation