Abstract
Understanding the influencing factors of carbon dioxide emissions is an essential prerequisite for policy makers to maintain sustainable low-carbon economic growth. Based on the autoregressive distributed lag model (ARDL) and error correction model (ECM), this paper investigates the causal relationships between economic growth, carbon emission, financial development, renewable energy consumption, and technology innovation in the case of China for the period 1965–2018. Our empirical results confirm the presence of a long-run relationship among the underlying variables. Our long-run estimates show that financial development has negative significant impacts on carbon emissions, whereas renewable energy and technology innovation have limited impacts on carbon mitigations. In addition, the short-run Granger causality analysis reveals that renewable energy consumption has a bidirectional Granger causality with carbon emissions and technology innovations. In the short run, we find that financial development can positively affect China’s carbon mitigation efforts indirectly via the channels of renewable energy sources and technology innovations. Our results have three following policy implications for Chinese policy makers to maintain sustainable low carbon economic development: (i) establish a green finance market to mobilize the social capital into green industry; (ii) continue the environmental law enforcement to control for carbon emissions among energy intensive industries; (iii) provide government fiscal incentives to promote renewable energy sources on both supply and demand sides of the market.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ang, J. B. (2009). CO2 emissions, research and technology transfer in China. Ecological Economics, 68(10), 2658–2665.
Bhattacharya, M., Churchill, S. A., & Paramati, S. R. (2017). The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions. Renewable Energy, 111, 157–167.
Blanford, G. J. (2009). R&D investment strategy for climate change. Energy Economics, 31, S27–S36.
BP. (2019). BP Energy Outlook 2019 Edition. BP.
Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B: Methodological, 37(2), 149–163.
Cetin, M., Ecevit, E., & Yucel, A. G. (2018). The impact of economic growth, energy consumption, trade openness, and financial development on carbon emissions: Empirical evidence from Turkey. Environmental Science and Pollution Research, 25(36), 36589–36603.
Chen, Y., Wang, Z., & Zhong, Z. (2019). CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China. Renewable Energy, 131, 208–216.
Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renewable and Sustainable Energy Reviews, 60, 1074–1085.
Irandoust, M. (2016). The renewable energy-growth nexus with carbon emissions and technological innovation: Evidence from the Nordic countries. Ecological Indicators, 69, 118–125.
Jalil, A., & Feridun, M. (2011). The impact of growth, energy and financial development on the environment in China: A cointegration analysis. Energy Economics, 33(2), 284–291.
Janda, K., & Zhang, B. (2020). The impact of renewable energy and technology innovation on Chinese carbon dioxide emissions. FFA Working Paper 3/2020, FFA, University of Economics.
Javid, M., & Sharif, F. (2016). Environmental Kuznets curve and financial development in Pakistan. Renewable and Sustainable Energy Reviews, 54, 406–414.
Jiao, J., Jiang, G., & Yang, R. (2018). Impact of R&D technology spillovers on carbon emissions between China’s regions. Structural Change and Economic Dynamics, 47, 35–45.
Kasman, A., & Duman, Y. S. (2015). CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis. Economic Modelling, 44, 97–103.
Kim, J., & Park, K. (2016). Financial development and deployment of renewable energy technologies. Energy Economics, 59, 238–250.
Li, T., Wang, Y., & Zhao, D. (2016). Environmental Kuznets curve in China: New evidence from dynamic panel analysis. Energy Policy, 91, 138–147.
Nasreen, S., Anwar, S., & Ozturk, I. (2017). Financial stability, energy consumption and environmental quality: Evidence from South Asian economies. Renewable and Sustainable Energy Reviews, 67, 1105–1122.
National Bureau of Statistics of China (NBSC). (2019). China energy statistical yearbook 2018. China Statistics Press.
National Development and Reformation Commission (NRDC). (2018). Energy production and consumption revolution strategy (2016–2030). NRDC.
Ozcan, B. (2013). The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis. Energy Policy, 62, 1138–1147.
Pao, H.-T., Yu, H.-C., & Yang, Y.-H. (2011). Modeling the CO2 emissions, energy use, and economic growth in Russia. Energy, 36(8), 5094–5100.
Pesaran, M. H., & Shin, Y. (1998). An autoregressive distributed-lag modelling approach to cointegration analysis. Econometric Society Monographs, 31, 371–413.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
Reboredo, J. C., & Wen, X. (2015). Are China’s new energy stock prices driven by new energy policies? Renewable and Sustainable Energy Reviews, 45, 624–636.
Saboori, B., & Sulaiman, J. (2013). CO2 emissions, energy consumption and economic growth in Association of Southeast Asian Nations (ASEAN) countries: A cointegration approach. Energy, 55, 813–822.
Sadorsky, P. (2010). The impact of financial development on energy consumption in emerging economies. Energy Policy, 38(5), 2528–2535.
Shahbaz, M., Solarin, S. A., Mahmood, H., & Arouri, M. (2013). Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis. Economic Modelling, 35, 145–152.
Tamazian, A., Rao, B.B (2010). Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies. Energy Economics 32(1), 137–145.
Tang, C. F., & Tan, E. C. (2013). Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia. Applied Energy, 104, 297–305.
Zhang, Y.-J. (2011). The impact of financial development on carbon emissions: An empirical analysis in China. Energy Policy, 39(4), 2197–2203.
Zhang, G., & Du, Z. (2017). Co-movements among the stock prices of new energy, high-technology and fossil fuel companies in China. Energy, 135, 249–256.
Acknowledgments
This paper is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation program under Marie Sklodowska-Curie grant agreement No. 870245. Binyi Zhang acknowledges support from the Charles University Grant Agency (GAUK) under grant No. 862119. Karel Janda acknowledges support from the Czech Science Foundation (grant No.22-19617S). The views expressed here are those of the authors and not necessarily those of our institutions. All remaining errors are solely our responsibility. (I changed there the numbers both for EU grant and GACR grant).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Janda, K., Zhang, B. (2022). The Impact of Renewable Energy and Technology Innovation on Chinese Carbon Dioxide Emissions. In: Procházka, D. (eds) Regulation of Finance and Accounting. ACFA ACFA 2021 2020. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-99873-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-99873-8_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-99872-1
Online ISBN: 978-3-030-99873-8
eBook Packages: Economics and FinanceEconomics and Finance (R0)