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Decoupling effect and forecasting of economic growth and energy structure under the peak constraint of carbon emissions in China

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Abstract

The decoupling effect between economic growth and energy structure was quantitatively analyzed from 1999 to 2014 across China. The results showed it existed weak decoupling effects in most regions. Based on the analysis of the influence of energy structure on carbon intensity, using scenario simulation methods and Markov chain modeling, the carbon intensity was predicted for China in 2020. The impact of energy structure adjustment on the carbon intensity to meet China’s carbon target by 18 possible scenarios are calculated. Furthermore, the peak value of carbon emissions was also calculated in 2030. The results showed that the carbon intensity predicted for China in 2020 can be achieved regardless of whether the energy structure was adjusted or not when energy saving and carbon reduction policies maintained with economic growth at 6–7%. Moreover, given fixed energy structure growth, for each 1% of economic growth, the carbon intensity will decrease by about 3.5%. Given fixed economic growth, the decrease of energy intensity will be greater if the control of energy consumption is stronger. The effect of energy structure adjustment on the decreasing of carbon intensity will be 4% higher under constraints than without constraints. On average, the contribution of energy structure adjustment to achieving the carbon intensity target was calculated as 4% higher than that with constraints. In addition, given relatively fixed economic growth at 6–7%, the peak value of carbon emission in 2030 was calculated as 13.209 billion tons with constraints and 14.38 billion tons without constraints.

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References

  • Adom PK, Bekoe W, Amuakwa MF (2015) Carbon deioxide emissions, economic growth, industrial structure, and technical efficiency:empirical evidence from Ghana, Senegal, and Morocco on the causal dynamics. Energy 47:314–325

    Article  Google Scholar 

  • Alam M, Singh H, Suresh S (2017) Energy and economic analysis of Vacuum Insulation Panels (VIPs) used in non-domestic buildings. Appl Energy 188(2):1–8

    Article  CAS  Google Scholar 

  • Best RE, Flager F, Lepech MD (2015) Modeling and optimization of building mix and energy supply technology for urban districts. Appl Energy 159(12):150–177

    Google Scholar 

  • Bulut U, Durusu C, Dilek (2018) Revisiting energy intensity convergence: new evidence from OECD countries. Environ Sci Pollut Res 25(13):12391–12397

    Article  Google Scholar 

  • Cao J, Yuan XZ, Zhu HN (2011) Studies on CO2 emissions by IGT model based on energy structure. Environ Sci Manag (8):50–54

  • Chen SY, Wu RC (2011) Structural adjustment, energy intensity reduction and CO2 abatement in the course of, economic, transition: Shanghai, and, national,comparative, analysis. Shanghai Econ Res (4):10–22

  • China Energy Statistics Yearbook (2015)

  • China Energy Statistics Yearbook (2016)

  • Ding QC, Wen J, Wang C (2017) The relationships between household consumption activities and energy consumption in China—an input-output analysis from the lifestyle perspectives. Appl Energy 207(11):520–532

    Article  Google Scholar 

  • Fan Y, Liu LC, Wang G (2007) Changes in carbon intensity in China: empirical findings from 1980-2003. Ecol Econ 62(3):683–691

    Article  Google Scholar 

  • Jiang JH (2011) An evaluation and decomposition analysis of carbon emissions in China. Resour Sci (4):597–604

  • Li JC (2012) Carbon intensity target, evolution rationales and realization. Soc Sci (9):26–33

  • Li YM, Zhang L, Cheng XL (2010) A decomposition model and reduction approaches for carbon dioxide emissions in China. Resour Sci 32(2):218–222

    CAS  Google Scholar 

  • Lin BQ, Li JL (2015) Transformation of China’s energy structure under environmental governance constraints: a peak value analysis of coal and carbon dioxide. Chin Soc Sci (9):84–105

  • Lin BQ, Ouyang X (2014) A revisit of fossil-fuel subsidies in China: challenges and opportunities for energy price reform. Energy Convers Manag 82:124–134

    Article  Google Scholar 

  • Lin BQ, Sun CW (2011) How to achieve the goal of carbon emission, reduction under the premise of safeguarding China’s economic growth. Chin Soc Sci (1):64–76

  • Lin BQ, Yao X, Liu XY (2010) China’s energy strategy adjustment under the constraint of energy saving and carbon emission. Chin Soc Sci (1):58–71

  • Lu, ZN (1999) An empirical analysis of the influence of industrial structure adjustment on China’s energy consumption. Quant Econ Technol Econ Res (12):53–55

  • Mavromatidis G, Orehounig K, Jan C (2015) Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems. Appl Energy 214(3):219–238

    Google Scholar 

  • Pan RF, Chen LX (2011) Change of energy structure and realization of carbon emission reduction energy in China. Dev Res (9):85–88

  • Petri T (2005) Towards a theory of decoupling: degrees of decoupling in the EU and case of road traffic in Finland between 1970 and 2001. Transp Policy 12:137–151

    Article  Google Scholar 

  • Shao S, Yang LL, Cao JH (2010) Study on the influence factors of carbon emission reduction in industrial energy consumption—an empirical analysis of Shanghai Branch industry dynamic panel data based on STIRPAT model. Financ Res (22):16–27

  • Song ML, Wang SH (2013) Analysis of environmental regulation, technological progression and economic growth from the perspective of statistical tests. Econ Res J (3):122–134

  • Song ML, Peng J, Wang JL (2018) Environmental efficiency and economic growth of China: a ray slack-based model analysis. Eur J Oper Res 269:51–63

    Article  Google Scholar 

  • Wang SJ (2017) Impact of FDI on energy efficiency: an analysis of the regional discrepancies in China. Nat Hazards (85):1209–1222

  • Wang, F, Feng GF (2011) Contribution of improving energy mix to carbon intensity target in China: potential assessment. China Ind Econ (4):127–137

  • Wang ZH, Feng C (2015) Sources of production inefficiency and productivity growth in China: a global data envelopment analysis. Energy Econ 49:380–389

    Article  Google Scholar 

  • Wang SH, Yu WY (2013) Sensitivity analysis of primary energy consumption, structural change and carbon intensity. Resour Sci 35(7):1438–1446

    Google Scholar 

  • Wang F, Feng GF, Wu LH (2013a) Contribution decomposition of carbon intensity decline in China’s economic growth. Econ Res (8):143–155

  • Wang P, Liu ZX, Zhu BZ (2013b) Potential assessment of optimizing energy structure to carbon intensity target in Guangdong province. China Popul Resour Environ 23(4):49–54

    Google Scholar 

  • Wu ZX, Xie XJ, Wang SP (2012) The influence of economic development and industrial structure to carbon emission based on china’s provincial panel data. Chin J Manag Sci (3)161–166

  • Xiang QF, Wang WJ(2014) Energy saving and emissions reduction potential assessment of China energy structure optimization. Res Econ Manag (7):13–22

  • Yu X, Chen HB, Wang B (2018) Driving forces of CO2 emissions and mitigation strategies of China’s national low carbon pilot industrial parks. Appl Energy 212(15):1553–1562

    Article  Google Scholar 

Download references

Funding

This work is supported by a project of the National Social Science Foundation of China (approved: 16BGL140), a project of National Natural Science Foundation of China (approved: 71573110).

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Authors and Affiliations

  1. School of Business, Jiangsu Normal University, Xuzhou, China

    Shijin Wang, Cunfang Li & Lizhu Yang

Authors
  1. Shijin Wang
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  2. Cunfang Li
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  3. Lizhu Yang
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Correspondence to Shijin Wang.

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Responsible editor: Nicholas Apergis

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Wang, S., Li, C. & Yang, L. Decoupling effect and forecasting of economic growth and energy structure under the peak constraint of carbon emissions in China. Environ Sci Pollut Res 25, 25255–25268 (2018). https://doi.org/10.1007/s11356-018-2520-2

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  • DOI: https://doi.org/10.1007/s11356-018-2520-2

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