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

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  • Wang, Zhaohua
  • Yang, Zhongmin
  • Zhang, Yixiang
  • Yin, Jianhua

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

  • Wang, Zhaohua & Yang, Zhongmin & Zhang, Yixiang & Yin, Jianhua, 2012. "Energy technology patents–CO2 emissions nexus: An empirical analysis from China," Energy Policy, Elsevier, vol. 42(C), pages 248-260.
    • Handle: RePEc:eee:enepol:v:42:y:2012:i:c:p:248-260
    DOI: 10.1016/j.enpol.2011.11.082
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    as
    1. Jamasb, Tooraj & Pollitt, Michael G., 2011. "Electricity sector liberalisation and innovation: An analysis of the UK's patenting activities," Research Policy, Elsevier, vol. 40(2), pages 309-324, March.
    2. Taylor, Margaret, 2008. "Beyond technology-push and demand-pull: Lessons from California's solar policy," Energy Economics, Elsevier, vol. 30(6), pages 2829-2854, November.
    3. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    4. Auerswald, Philip E & Branscomb, Lewis M, 2003. "Valleys of Death and Darwinian Seas: Financing the Invention to Innovation Transition in the United States," The Journal of Technology Transfer, Springer, vol. 28(3-4), pages 227-239, August.
    5. Dechezlepretre, Antoine & Glachant, Matthieu & Hascic, Ivan & Johnstone, Nick & Meniere, Yann, 2009. "Invention and Transfer of Climate Change Mitigation Technologies on a Global Scale: A Study Drawing on Patent Data," Sustainable Development Papers 54361, Fondazione Eni Enrico Mattei (FEEM).
    6. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.
    7. Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010. "Energy, the Environment, and Technological Change," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 873-937, Elsevier.
    8. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    9. repec:fth:harver:1473 is not listed on IDEAS
    10. Fischer, Carolyn & Newell, Richard G., 2008. "Environmental and technology policies for climate mitigation," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 142-162, March.
    11. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    12. 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.
    13. 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.
    14. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    15. Karsten Neuhoff, 2005. "Large-Scale Deployment of Renewables for Electricity Generation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(1), pages 88-110, Spring.
    16. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    17. Popp, David, 2006. "International innovation and diffusion of air pollution control technologies: the effects of NOX and SO2 regulation in the US, Japan, and Germany," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 46-71, January.
    18. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    19. Ang, James B., 2009. "CO2 emissions, research and technology transfer in China," Ecological Economics, Elsevier, vol. 68(10), pages 2658-2665, August.
    20. Wang, Qiang & Chen, Yong, 2010. "Status and outlook of China's free-carbon electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1014-1025, April.
    21. Schroeder, Miriam, 2009. "Utilizing the clean development mechanism for the deployment of renewable energies in China," Applied Energy, Elsevier, vol. 86(2), pages 237-242, February.
    22. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    23. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    24. T Randolph Beard & George S Ford & Thomas M Koutsky & Lawrence J Spiwak, 2009. "A Valley of Death in the innovation sequence: an economic investigation," Research Evaluation, Oxford University Press, vol. 18(5), pages 343-356, December.
    25. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    26. Chen, Qixin & Kang, Chongqing & Xia, Qing & Guan, Dabo, 2011. "Preliminary exploration on low-carbon technology roadmap of China’s power sector," Energy, Elsevier, vol. 36(3), pages 1500-1512.
    27. Gnansounou, Edgard & Dong, Jun & Bedniaguine, Denis, 2004. "The strategic technology options for mitigating CO2 emissions in power sector: assessment of Shanghai electricity-generating system," Ecological Economics, Elsevier, vol. 50(1-2), pages 117-133, September.
    28. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    29. Lanjouw, Jean Olson & Mody, Ashoka, 1996. "Innovation and the international diffusion of environmentally responsive technology," Research Policy, Elsevier, vol. 25(4), pages 549-571, June.
    30. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    31. 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.
    32. Sagar, A. D. & Holdren, J. P., 2002. "Assessing the global energy innovation system: some key issues," Energy Policy, Elsevier, vol. 30(6), pages 465-469, May.
    33. Nemet, Gregory F., 2009. "Demand-pull, technology-push, and government-led incentives for non-incremental technical change," Research Policy, Elsevier, vol. 38(5), pages 700-709, June.
    34. Popp, David & Hascic, Ivan & Medhi, Neelakshi, 2011. "Technology and the diffusion of renewable energy," Energy Economics, Elsevier, vol. 33(4), pages 648-662, July.
    35. Lüthi, Sonja & Prässler, Thomas, 2011. "Analyzing policy support instruments and regulatory risk factors for wind energy deployment--A developers' perspective," Energy Policy, Elsevier, vol. 39(9), pages 4876-4892, September.
    36. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    37. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    38. van Vuuren, Detlef & Fengqi, Zhou & Vries, Bert de & Kejun, Jiang & Graveland, Cor & Yun, Li, 2003. "Energy and emission scenarios for China in the 21st century--exploration of baseline development and mitigation options," Energy Policy, Elsevier, vol. 31(4), pages 369-387, March.
    39. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    40. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    41. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    42. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    43. 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.
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    More about this item

    Keywords

    Energy technology patents; CO2 emissions; Dynamic panel data approach;
    All these keywords.

    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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