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The heterogeneous impacts of interregional green technology spillover on energy intensity in China

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  • Pan, Xiuzhen
  • Wei, Zixiang
  • Han, Botang
  • Shahbaz, Muhammad

Abstract

The purpose of this study is to empirically investigate the effects of interregional green technology spillover (GTS) on energy intensity, with a special emphasis on the heterogeneous effect caused by absorptive capacity. Based on the panel data of China's 30 provinces from 2000 to 2016, this paper uses R&D investment intensity (RDI) and intraregional transportation convenience (TRA) to represent regional absorptive capacity and applies a panel smooth transition regression (PSTR) model to investigate how absorptive capacity affect the way interregional GTS have an impact on energy intensity. The linear panel regression model is first estimated, and its results demonstrate that the interregional GTS can decrease energy intensity in China. However, the results of further estimation with PSTR model show that there is a threshold effect of GTS on energy intensity in China. GTS contributes greatly to the reduction of energy intensity for provinces with higher technology absorptive capacity. This effect, however, is insignificant for provinces with lower absorptive capacity. The time-variant individual effects of GTS on energy intensity, which indicates the heterogeneity of the dataset, also are derived. Overall, the effect of GTS on the reduction of energy intensity shows a positive and increasing trend throughout the period; nevertheless, it shows a divergence over the sample provinces, indicating the decreasing effect of GTS on energy intensity depends on the absorptive capacity of each province and the time period. In light of these findings, this paper also provides several policy suggestions.

Suggested Citation

  • Pan, Xiuzhen & Wei, Zixiang & Han, Botang & Shahbaz, Muhammad, 2021. "The heterogeneous impacts of interregional green technology spillover on energy intensity in China," Energy Economics, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:eneeco:v:96:y:2021:i:c:s0140988321000384
    DOI: 10.1016/j.eneco.2021.105133
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Wang, Zhaohua & Zhang, Bin & Liu, Tongfan, 2016. "Empirical analysis on the factors influencing national and regional carbon intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 34-42.
    3. Fei Fan & Huan Lian & Song Wang, 2020. "Can regional collaborative innovation improve innovation efficiency? An empirical study of Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(1), pages 440-463, March.
    4. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    5. Ockwell, David G. & Watson, Jim & MacKerron, Gordon & Pal, Prosanto & Yamin, Farhana, 2008. "Key policy considerations for facilitating low carbon technology transfer to developing countries," Energy Policy, Elsevier, vol. 36(11), pages 4104-4115, November.
    6. Nick Johnstone & Ivan Haščič & David Popp, 2017. "Erratum to: Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 441-444, October.
    7. repec:fth:harver:1473 is not listed on IDEAS
    8. Fadly, Dalia & Fontes, Francisco, 2019. "Geographical proximity and renewable energy diffusion: An empirical approach," Energy Policy, Elsevier, vol. 129(C), pages 422-435.
    9. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    10. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    11. 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.
    12. Antoine Dechezleprêtre & Matthieu Glachant & Yann Ménière, 2013. "What Drives the International Transfer of Climate Change Mitigation Technologies? Empirical Evidence from Patent Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 161-178, February.
    13. Teräsvirta, Timo, 1996. "Modelling Economic Relationships with Smooth Transition Regressions," SSE/EFI Working Paper Series in Economics and Finance 131, Stockholm School of Economics.
    14. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    15. Huijie Yan, 2015. "Provincial energy intensity in China: The role of urbanization," Post-Print hal-01457329, HAL.
    16. Halleck Vega, Solmaria & Mandel, Antoine, 2018. "Technology Diffusion and Climate Policy: A Network Approach and its Application to Wind Energy," Ecological Economics, Elsevier, vol. 145(C), pages 461-471.
    17. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    18. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    19. Pan, Xiongfeng & Guo, Shucen & Han, Cuicui & Wang, Mengyang & Song, Jinbo & Liao, Xianchun, 2020. "Influence of FDI quality on energy efficiency in China based on seemingly unrelated regression method," Energy, Elsevier, vol. 192(C).
    20. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
    21. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    22. Popp, David C., 2001. "The effect of new technology on energy consumption," Resource and Energy Economics, Elsevier, vol. 23(3), pages 215-239, July.
    23. 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.
    24. Wu, Yanrui, 2012. "Energy intensity and its determinants in China's regional economies," Energy Policy, Elsevier, vol. 41(C), pages 703-711.
    25. Yanchun Chen & Botang Han & Wenmei Liu, 2016. "Green technology innovation and energy intensity 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. 84(1), pages 317-332, November.
    26. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuloğlu, Ayhan, 2017. "The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity," Energy, Elsevier, vol. 133(C), pages 242-256.
    27. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    28. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LLC, vol. 7(3), pages 281-312, September.
    29. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
    30. Jiao, Jianling & Jiang, Guili & Yang, Ranran, 2018. "Impact of R&D technology spillovers on carbon emissions between China’s regions," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 35-45.
    31. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 490-497, August.
    32. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    33. Tamazian, Artur & Chousa, Juan Piñeiro & Vadlamannati, Krishna Chaitanya, 2009. "Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries," Energy Policy, Elsevier, vol. 37(1), pages 246-253, January.
    34. Yann Ménière & Antoine Dechezleprêtre & Matthieu Glachant & Ivan Hascic & N. Johnstone, 2011. "Invention and transfer of climate change mitigation technologies: a study drawing on patent data," Post-Print hal-00869795, HAL.
    35. Schmidt-Ehmcke, Jens & Zloczysti, Petra & Braun, Frauke G, 2010. "Innovative Activity in Wind and Solar Technology: Empirical Evidence on Knowledge Spillovers Using Patent Data," CEPR Discussion Papers 7865, C.E.P.R. Discussion Papers.
    36. 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.
    37. 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.
    38. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    39. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    40. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    41. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    42. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    43. Dechezleprêtre, Antoine & Neumayer, Eric & Perkins, Richard, 2015. "Environmental regulation and the cross-border diffusion of new technology: Evidence from automobile patents," Research Policy, Elsevier, vol. 44(1), pages 244-257.
    44. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    45. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    46. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    47. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    48. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    49. Shang, Qingyan & Poon, Jessie P.H. & Yue, Qingtang, 2012. "The role of regional knowledge spillovers on China's innovation," China Economic Review, Elsevier, vol. 23(4), pages 1164-1175.
    50. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    51. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment: Reply," American Economic Review, American Economic Association, vol. 95(1), pages 465-466, March.
    52. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    53. Elliott, Robert J.R. & Sun, Puyang & Zhu, Tong, 2017. "The direct and indirect effect of urbanization on energy intensity: A province-level study for China," Energy, Elsevier, vol. 123(C), pages 677-692.
    54. Arens, M. & Worrell, E., 2014. "Diffusion of energy efficient technologies in the German steel industry and their impact on energy consumption," Energy, Elsevier, vol. 73(C), pages 968-977.
    55. Peter Thompson & Melanie Fox-Kean, 2005. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," American Economic Review, American Economic Association, vol. 95(1), pages 450-460, March.
    56. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    57. Costantini, Valeria & Mazzanti, Massimiliano & Montini, Anna, 2013. "Environmental performance, innovation and spillovers. Evidence from a regional NAMEA," Ecological Economics, Elsevier, vol. 89(C), pages 101-114.
    58. Chakraborty, Saptorshee Kanto & Mazzanti, Massimiliano, 2020. "Energy intensity and green energy innovation: Checking heterogeneous country effects in the OECD," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 328-343.
    59. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    60. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
    61. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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