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Energy technology patents-CO2 emissions nexus: An empirical analysis from China

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  • Zhaohua Wang
  • Yixiang Zhang
  • Xian Zhang

Abstract

Energy technology innovation plays a crucial role in reducing carbon emissions. This paper investigates whether there is relationship between energy technology patents and CO2 emissions of 30 provinces in mainland China during 1997 - 2008. Gross Domestic Product (GDP) is included in the study due to its impact on CO2 emissions and energy technology innovation, thus avoiding the problem of omitted variable bias. Furthermore, we investigate three cross-regional groups, namely eastern, central and western China. The results show that domestic patents for fossil-fueled technologies have no significant effect on CO2 emissions reduction; however, domestic patents for carbon-free energy technologies appear to play an important role in reducing CO2 emissions, which is significant in eastern China, but is not significant in central, western, and national level of China. The results of this study enrich energy technology innovation theories and provide some implications for energy technology policy making.

Suggested Citation

  • Zhaohua Wang & Yixiang Zhang & Xian Zhang, 2011. "Energy technology patents-CO2 emissions nexus: An empirical analysis from China," CEEP-BIT Working Papers 21, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:21
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    Cited by:

    1. Nicolò Barbieri & Claudia Ghisetti & Marianna Gilli & Giovanni Marin & Francesco Nicolli, 2016. "A Survey Of The Literature On Environmental Innovation Based On Main Path Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 596-623, July.
    2. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    3. Zhaohua Wang & Chen Wang & Jianhua Yin, 2015. "Strategies for addressing climate change on the industrial level: affecting factors to CO 2 emissions of energy-intensive industries in China," 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. 75(2), pages 303-317, February.
    4. Santillán Soto, Néstor & García Cueto, O. Rafael & Ojeda Benítez, Sara & Lambert Arista, Alejandro Adolfo, 2014. "Photovoltaic low power systems and their environmental impact:Yuma, Arizona, U.S.A. case study and projections for Mexicali, Mexico," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 172-177.
    5. Ding Weina & Marianna Gilli & Massimiliano Mazzanti & Francesco Nicolli, 2016. "Green inventions and greenhouse gas emission dynamics: a close examination of provincial Italian data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(2), pages 247-263, April.
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    7. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    8. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    9. repec:gam:jsusta:v:9:y:2017:i:4:p:548-:d:95055 is not listed on IDEAS
    10. Sun, Dingqiang & Bai, Junfei & Qiu, Huanguang & Cai, Yaqing, 2014. "Impact of government subsidies on household biogas use in rural China," Energy Policy, Elsevier, vol. 73(C), pages 748-756.
    11. repec:spr:nathaz:v:88:y:2017:i:2:d:10.1007_s11069-017-2915-2 is not listed on IDEAS
    12. Wong, Chan-Yuan & Fatimah Mohamad, Zeeda & Keng, Zi-Xiang & Ariff Azizan, Suzana, 2014. "Examining the patterns of innovation in low carbon energy science and technology: Publications and patents of Asian emerging economies," Energy Policy, Elsevier, vol. 73(C), pages 789-802.

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    Keywords

    energy technology patents; CO2 emissions; dynamic panel data approach;

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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