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The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data

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  • Zhai, Xueqi
  • An, Yunfei

Abstract

Challenged by climate change and severe damage of the ecological environment caused by carbon emissions, the process of green transformation in the world has to be urgently accelerated. This study adopted the super-efficiency DEA method to calculate the green transformation efficiency (GTE) of 30 provinces of China (except for Tibet) from 2009 to 2018. From the perspective of the technological innovation process, a spatial Durbin model is further proposed to investigate the impacts of technology research and development (TERD) and technology commercialization (TECO) on GTEs. The results showed that: (1) both TERD and TECO exerted significant positive effects on GTEs in local provinces, while the TERD coefficient was higher than that of TECO. (2) The spillover effect of TERD on GTEs in neighboring provinces was significantly negative, while the spillover effect of TERD was significantly positive. (3) Although the interaction between TERD and TECO positively affected GTEs, it also exerted a negative spillover effect on GTE. These findings indicate that the government should include the spatial spillover effects of TERD and TECO on GTEs when designing policies in support of technological innovation activities that contribute to green transformation.

Suggested Citation

  • Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20313014
    DOI: 10.1016/j.techsoc.2020.101498
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    1. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    2. Tientao, A. & Legros, D. & Pichery, M.C., 2016. "Technology spillover and TFP growth: A spatial Durbin model," International Economics, Elsevier, vol. 145(C), pages 21-31.
    3. Jiayu Wang & Ke Wang & Xunpeng Shi & Yi-Ming Wei, 2019. "Spatial heterogeneity and driving forces of environmental productivity growth in China: Would it help to switch pollutant discharge fees to environmental taxes?," CEEP-BIT Working Papers 123, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Wen-Cheng Lu & Jong-Rong Chen & Chia-Ling Wang, 2006. "Granger causality test on R&D spatial spillovers and productivity growth," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 857-861.
    6. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    7. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    8. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake K. & Smith, Tony E., 2020. "Localized knowledge spillovers: Evidence from the spatial clustering of R&D labs and patent citations," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    9. Xiong, Ailun & Xia, Senmao & Ye, Zhen Peter & Cao, Dongmei & Jing, Yanguo & Li, Hongyi, 2020. "Can innovation really bring economic growth? The role of social filter in China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 50-61.
    10. Li, Ke & Lin, Boqiang, 2017. "Economic growth model, structural transformation, and green productivity in China," Applied Energy, Elsevier, vol. 187(C), pages 489-500.
    11. Li, Guangpei & Wang, Xiaoyu & Su, Shibin & Su, Yuan, 2019. "How green technological innovation ability influences enterprise competitiveness," Technology in Society, Elsevier, vol. 59(C).
    12. Xiaohui Liu & Peter Burridge & P. J. N. Sinclair, 2002. "Relationships between economic growth, foreign direct investment and trade: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1433-1440.
    13. Aparicio, Sebastian & Urbano, David & Audretsch, David, 2016. "Institutional factors, opportunity entrepreneurship and economic growth: Panel data evidence," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 45-61.
    14. Ye, Chusheng & Ye, Qin & Shi, Xunpeng & Sun, Yongping, 2020. "Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries," Energy Policy, Elsevier, vol. 137(C).
    15. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    16. René Kemp & Babette Never, 2017. "Green transition, industrial policy, and economic development," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(1), pages 66-84.
    17. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    18. 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.
    19. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    20. Lung‐fei Lee & Jihai Yu, 2016. "Identification of Spatial Durbin Panel Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 133-162, January.
    21. Jesús Mur & Ana Angulo, 2006. "The Spatial Durbin Model and the Common Factor Tests," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 207-226.
    22. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    23. Hasan, Iftekhar & Tucci, Christopher L., 2010. "The innovation-economic growth nexus: Global evidence," Research Policy, Elsevier, vol. 39(10), pages 1264-1276, December.
    24. Ferreira, João J.M. & Fernandes, Cristina I. & Ferreira, Fernando A.F., 2020. "Technology transfer, climate change mitigation, and environmental patent impact on sustainability and economic growth: A comparison of European countries," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    25. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    26. Aligui Tientao & Diego Legros & Marie Claude Pichery, 2016. "Technology spillover and TFP growth: A spatial Durbin model," International Economics, CEPII research center, issue 145, pages 21-31.
    27. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    28. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    29. Ringel, Marc & Schlomann, Barbara & Krail, Michael & Rohde, Clemens, 2016. "Towards a green economy in Germany? The role of energy efficiency policies," Applied Energy, Elsevier, vol. 179(C), pages 1293-1303.
    30. Li, Yanfei & Ji, Qiang & Zhang, Dayong, 2020. "Technological catching up and innovation policies in China: What is behind this largely successful story?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    31. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
    32. Walrave, Bob & Raven, Rob, 2016. "Modelling the dynamics of technological innovation systems," Research Policy, Elsevier, vol. 45(9), pages 1833-1844.
    33. Markard, Jochen, 2020. "The life cycle of technological innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
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