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Relationships between energy technology patents and CO2 emissions in China: An empirical study

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  • Zhaohua Wang
  • Zhongmin Yang
  • Yixiang Zhang

Abstract

This paper explores dynamic relationships between energy technology patents and CO2 emissions in China during 1985-2009. Based on vector autoregression (VAR), cointegration and vector error correction model (VECM) are adopted to uncover relationships in both long-run and short-run; also dynamic interactions are identified to establish these relationships between variables through impulse response functions and variance decomposition methods. Results show that: (1) the increase of energy technology patents does not reduce CO2 emissions in both long-run and short-run; (2) in the long-run, the increase of energy technology patents helps to reduce CO2 emissions intensity; while it does not for the short term. The present empirical study clearly indicates that Chinese government should attach more importance to investigating and improving energy technology patent system and formulating related energy technology policies for CO2 emissions reduction.

Suggested Citation

  • Zhaohua Wang & Zhongmin Yang & Yixiang Zhang, 2012. "Relationships between energy technology patents and CO2 emissions in China: An empirical study," CEEP-BIT Working Papers 34, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:34
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181011135503549095.pdf
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    References listed on IDEAS

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    1. Garrone, Paola & Grilli, Luca, 2010. "Is there a relationship between public expenditures in energy R&D and carbon emissions per GDP? An empirical investigation," Energy Policy, Elsevier, vol. 38(10), pages 5600-5613, October.
    2. Fisher-Vanden, Karen & Sue Wing, Ian, 2008. "Accounting for quality: Issues with modeling the impact of R&D on economic growth and carbon emissions in developing economies," Energy Economics, Elsevier, vol. 30(6), pages 2771-2784, November.
    3. Margolis, Robert M. & Kammen, Daniel M., 1999. "Evidence of under-investment in energy R&D in the United States and the impact of Federal policy," Energy Policy, Elsevier, vol. 27(10), pages 575-584, October.
    4. Bernstein, Paul M. & Montgomery, W. David & Tuladhar, Sugandha D., 2006. "Potential for reducing carbon emissions from non-Annex B countries through changes in technology," Energy Economics, Elsevier, vol. 28(5-6), pages 742-762, November.
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    Citations

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    Cited by:

    1. 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.
    2. Hao, Yu & Zhang, Tianli & Jing, Leijie & Xiao, Linqi, 2019. "Would the decoupling of electricity occur along with economic growth? Empirical evidence from the panel data analysis for 100 Chinese cities," Energy, Elsevier, vol. 180(C), pages 615-625.
    3. Zhang, Gupeng & Duan, Hongbo & Wang, Shouyang & Zhang, Qianlong, 2018. "Comparative technological advantages between China and developed areas in respect of energy production: Quantitative and qualitative measurements based on patents," Energy, Elsevier, vol. 162(C), pages 1223-1233.
    4. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.
    5. 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.
    6. 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.

    More about this item

    Keywords

    CO2 emissions; CO2 emission intensity; energy technology patents; GDP; VAR/VECM;

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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