Skip to main content

Advertisement

Log in

Revisiting financial expansion and energy efficiency nexus with environment: empirical evidence from RCEP countries

  • Original Article
  • Published:
Energy Efficiency Aims and scope Submit manuscript

Abstract

The global economies are rapidly taking action to reduce climate change issues. However, RCEP economies are still paying attention to economic stability, while efforts are needed to explore their influencing factors of environmental quality, which are hardly explored in the literature. To fill the gap, this study examines the influence of financial expansion and energy efficiency on carbon emissions in RCEP countries. Covering the extended period from 1990 to 2021, this study employs various diagnostic tests such as the normality test, slope homogeneity, and panel cross-section dependency. The cointegration of all the variables is found to exist. By applying the non-parametric techniques (method of moment quantile regression), the results indicate that economic growth is the only significant factor of environmental deterioration in the region. Whereas, energy efficiency and technological advancement significantly reduce the carbon emissions level. On the contrary, the financial expansion is found asymmetrically affecting the emissions level, which reduces emissions in the lower and medium quantiles while increasing the carbon level in the higher quantiles. The robustness of the results is validated by using quantile regression. This study suggests increased investment in energy efficiency and technological innovation. Also, the results suggested the expansion of the green financial system, which could be a promising tool for the environment and sustainable development.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

The data that support the findings of this study are available from World Bank (2022). It can be accessed via https://databank.worldbank.org/source/world-development-indicators#advancedDownloadOptions

Abbreviations

ARDL:

Autoregressive distributed lag

EKC:

Environmental Kuznets curve

CO2 :

Carbon dioxide

RCEP:

Regional Comprehensive Economic Partnership

GDP:

Gross domestic product

FE:

Financial expansion

ENEF:

Energy efficiency

TI:

Technological innovation

MMQR:

Method of moment quantile regression

SCH:

Slope coefficient heterogeneity

PCD:

Panel cross-section dependence

References

  • Abbasi, K. R., Shahbaz, M., Zhang, J., Irfan, M., & Lv, K. (2022). Analyze the environmental sustainability factors of China: The role of fossil fuel energy and renewable energy. Renewable Energy, 187, 390–402.

  • Adeel-Farooq, R. M., Raji, J. O., & Qamri, G. M. (2022). Does financial development influence the overall natural environment? An environmental performance index (EPI) based insight from the ASEAN countries. Environment, Development and Sustainability, 25, 5123–5139.

  • Ahmad, M., Hengyi, H., Rahman, Z. U., Khan, Z. U., Khan, S., & Khan, Z. (2018). Carbon emissions, energy use, gross domestic product and total population in China. Ekonomia i Środowisko-Economics and Environment, 65(2), 13–13.

    Google Scholar 

  • Akadiri, S. S., & Adebayo, T. S. (2021). Asymmetric nexus among financial globalization, non-renewable energy, renewable energy use, economic growth, and carbon emissions: Impact on environmental sustainability targets in India. Environmental Science and Pollution Research, 29, 16311–16323.

  • Akahori, H., Sawauchi, D., & Yamamoto, Y. (2016). The regional comprehensive economic partnership and its potential impact on greenhouse gas emissions. Journal of Environmental Protection, 7(09), 1183.

    Article  CAS  Google Scholar 

  • Akram, R., Chen, F., Khalid, F., Ye, Z., & Majeed, M. T. (2020a). Heterogeneous effects of energy efficiency and renewable energy on carbon emissions: Evidence from developing countries. Journal of Cleaner Production, 247, 119122.

    Article  Google Scholar 

  • Akram, R., Majeed, M. T., Fareed, Z., Khalid, F., & Ye, C. (2020b). Asymmetric effects of energy efficiency and renewable energy on carbon emissions of BRICS economies: Evidence from nonlinear panel autoregressive distributed lag model. Environmental science and pollution research, 27(15), 18254–18268.

    Article  CAS  PubMed  Google Scholar 

  • Akram, R., Umar, M., Xiaoli, G., & Chen, F. (2022). Dynamic linkages between energy efficiency, renewable energy along with economic growth and carbon emission. A case of MINT countries an asymmetric analysis. Energy Reports, 8, 2119–2130.

    Article  Google Scholar 

  • Amin, M., Zhou, S., & Safi, A. (2022). The nexus between consumption-based carbon emissions, trade, eco-innovation, and energy productivity: Empirical evidence from N-11 economies. Environmental Science and Pollution Research, 29(26), 39239–39248.

    Article  PubMed  Google Scholar 

  • Baxter, G. (2021). Mitigating an airport’s carbon footprint through the use of “green” technologies: The case of Brisbane and Melbourne airports, Australia. International Journal of Environment, Agriculture and Biotechnology, 6(6), 29–39.

    Article  Google Scholar 

  • Cheng, S., Meng, L., & Xing, L. (2021). Energy technological innovation and carbon emissions mitigation: Evidence from China. Kybernetes.

    Google Scholar 

  • Chew, V. (2016). Singapore green plan. Singap. Infopedia.

    Google Scholar 

  • Chishti, M. Z., & Sinha, A. (2022). Do the shocks in technological and financial innovation influence the environmental quality? Evidence from BRICS economies. Technology in Society, 68, 101828.

    Article  Google Scholar 

  • Dai, X., Qian, S., & Zhang, J. (2022). Sustainable financial inclusion as a source of green environment? Evidence from selected regional comprehensive economic partnership countries. Economic Research-Ekonomska Istraživanja, 36(1), 51–72.

  • Deka, A., Ozdeser, H., & Seraj, M. (2023). The effect of GDP, renewable energy and total energy supply on carbon emissions in the EU-27: New evidence from panel GMM. Environmental Science and Pollution Research, 30, 28206–28216.

  • Emenekwe, C. C., Onyeneke, R. U., & Nwajiuba, C. U. (2022). Financial development and carbon emissions in Sub-Saharan Africa. Environmental Science and Pollution Research, 29(13), 19624–19641.

    Article  PubMed  Google Scholar 

  • Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review/Revue Internationale de Statistique, 55(2), 163–172.

  • Jiang, C., & Ma, X. (2019). The impact of financial development on carbon emissions: A global perspective. Sustainability, 11(19), 5241.

    Article  Google Scholar 

  • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44.

    Article  MathSciNet  Google Scholar 

  • Khan, Z., Murshed, M., Dong, K., & Yang, S. (2021). The roles of export diversification and composite country risks in carbon emissions abatement: Evidence from the signatories of the Regional Comprehensive Economic Partnership agreement. Applied Economics, 53(41), 4769–4787.

    Article  Google Scholar 

  • Kirikkaleli, D., Güngör, H., & Adebayo, T. S. (2022). Consumption-based carbon emissions, renewable energy consumption, financial development and economic growth in Chile. Business Strategy and the Environment, 31(3), 1123–1137.

    Article  Google Scholar 

  • Koenker, R., & Bassett, G. Jr. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society 46(1), 33–50.

  • Lei, W., Xie, Y., Hafeez, M., & Ullah, S. (2022). Assessing the dynamic linkage between energy efficiency, renewable energy consumption, and CO2 emissions in China. Environmental Science and Pollution Research, 29(13), 19540–19552.

    Article  CAS  PubMed  Google Scholar 

  • Li, S., Siu, Y. W., & Zhao, G. (2021). Driving factors of CO2 emissions: Further study based on machine learning. Frontiers in Environmental Science, 9, 721517.

  • Liu, H., & Gong, G. (2022). Heterogeneous impacts of financial development on carbon emissions: Evidence from China’s provincial data. Environmental Science and Pollution Research, 29(25), 37565–37581.

    Article  PubMed  Google Scholar 

  • Liu, X., & Liu, X. (2021). Can financial development curb carbon emissions? Empirical test based on spatial perspective. Sustainability, 13(21), 11912.

    Article  CAS  Google Scholar 

  • Machado, J. A., & Silva, J. S. (2019). Quantiles via moments. Journal of Econometrics, 213(1), 145–173.

    Article  MathSciNet  Google Scholar 

  • Mahapatra, B., & Irfan, M. (2021). Asymmetric impacts of energy efficiency on carbon emissions: A comparative analysis between developed and developing economies. Energy, 227, 120485.

    Article  Google Scholar 

  • Martawardaya, B., Rakatama, A., Junifta, D. Y., & Maharani, D. A. (2022). Green economy post COVID-19: Insights from Indonesia. Development in Practice, 32(1), 98–106.

    Article  Google Scholar 

  • Mirza, F. M., Sinha, A., Khan, J. R., Kalugina, O. A., & Zafar, M. W. (2022). Impact of energy efficiency on CO2 emissions: Empirical evidence from developing countries. Gondwana Research, 106, 64–77.

    Article  ADS  Google Scholar 

  • Narayan, P. K., Saboori, B., & Soleymani, A. (2016). Economic growth and carbon emissions. Economic Modelling, 53, 388–397.

    Article  Google Scholar 

  • OECD, 2022. Organization for Economic Cooperation and Development. Available at: https://stats.oecd.org/

  • Ostic, D., Twum, A. K., Agyemang, A. O., & Boahen, H. A. (2022). Assessing the impact of oil and gas trading, foreign direct investment inflows, and economic growth on carbon emissions for OPEC member countries. Environmental Science and Pollution Research, 29(28), 43089–43101.

    Article  PubMed  Google Scholar 

  • Pesaran, M. H. (2004). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60, 13–50.

    Article  Google Scholar 

  • Pesaran, M. H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, 74(4), 967–1012.

    Article  MathSciNet  Google Scholar 

  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312.

    Article  MathSciNet  Google Scholar 

  • Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93.

    Article  MathSciNet  Google Scholar 

  • Razzaq, A., Fatima, T., & Murshed, M. (2021). Asymmetric effects of tourism development and green innovation on economic growth and carbon emissions in Top 10 GDP countries. Journal of Environmental Planning and Management, 66(3), 471–500.

  • Salem, S., Arshed, N., Anwar, A., Iqbal, M., & Sattar, N. (2021). Renewable energy consumption and carbon emissions—testing nonlinearity for highly carbon-emitting countries. Sustainability, 13(21), 11930.

    Article  CAS  Google Scholar 

  • Salman, M., Long, X., Dauda, L., & Mensah, C. N. (2019). The impact of institutional quality on economic growth and carbon emissions: Evidence from Indonesia, South Korea, and Thailand. Journal of Cleaner Production, 241, 118331.

    Article  Google Scholar 

  • Sarkodie, S. A., & Strezov, V. (2019). A review on environmental Kuznets curve hypothesis using bibliometric and meta-analysis. Science of the Total Environment, 649, 128–145.

    Article  CAS  PubMed  ADS  Google Scholar 

  • Sharif Ali, S. S., Razman, M. R., & Awang, A. (2020). The nexus of population, growth domestic product growth, electricity generation, electricity consumption, and carbon emissions output in Malaysia. International Journal of Energy Economics and Policy, 10(3), 84–89.

    Article  Google Scholar 

  • Shen, Y., Su, Z. W., Malik, M. Y., Umar, M., Khan, Z., & Khan, M. (2021). Does green investment, financial development, and natural resources rent limit carbon emissions? A provincial panel analysis of China. Science of the Total Environment, 755, 142538.

    Article  CAS  PubMed  ADS  Google Scholar 

  • Sheraz, M., Deyi, X., Mumtaz, M. Z., & Ullah, A. (2022). Exploring the dynamic relationship between financial development, renewable energy, and carbon emissions: A new evidence from belt and road countries. Environmental Science and Pollution Research, 29(10), 14930–14947.

    Article  PubMed  Google Scholar 

  • Sufyanullah, K., Ahmad, K. A., & Ali, M. A. S. (2022). Does the emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth, and carbon emissions-Using the ARDL bound testing approach. Energy Policy, 164, 112908.

    Article  CAS  Google Scholar 

  • Sunday Adebayo, T., Saint Akadiri, S., Haouas, I., & Rjoub, H. (2022). A time-varying analysis between financial development and carbon emissions: Evidence from the MINT countries. Energy & Environment34(5), 1207–1227.

  • Szymczyk, K., Şahin, D., Bağcı, H., & Kaygın, C. Y. (2021). The effect of energy usage, economic growth, and financial development on CO2 emission management: An analysis of OECD countries with a High environmental performance index. Energies, 14(15), 4671.

    Article  CAS  Google Scholar 

  • Tanveer, Z., Ahmad, W., Asghar, N., & ur Rehman, H. (2022). Is the impact of technological innovations on environment quality symmetric or asymmetric? Vietnam and Switzerland Evidence. iRASD Journal of Economics, 4(2), 215–231.

    Article  Google Scholar 

  • Tian, K., Zhang, Y., Li, Y., Ming, X., Jiang, S., Duan, H., Yang, C., & Wang, S. (2022). Regional trade agreement burdens global carbon emissions mitigation. Nature Communications, 13(1), 1–12.

    Google Scholar 

  • Wei, J., Rahim, S., & Wang, S. (2022). Role of environmental degradation, institutional quality and government health expenditures for human health: Evidence from emerging seven countries. Frontiers in Public Health10, 870767.

  • World Bank. (2022). World development indicators. DataBank Available at: https://databank.worldbank.org/source/world-development-indicators#

    Google Scholar 

  • Yao, X., Yasmeen, R., Hussain, J., & Shah, W. U. H. (2021). The repercussions of financial development and corruption on energy efficiency and ecological footprint: Evidence from BRICS and next 11 countries. Energy, 223, 120063.

    Article  Google Scholar 

  • Zahoor, Z., Khan, I., & Hou, F. (2022). Clean energy investment and financial development as determinants of environment and sustainable economic growth: Evidence from China. Environmental Science and Pollution Research, 29(11), 16006–16016.

    Article  PubMed  Google Scholar 

  • Zaidi, S. A. H., Zafar, M. W., Shahbaz, M., & Hou, F. (2019). Dynamic linkages between globalization, financial development, and carbon emissions: Evidence from Asia Pacific Economic Cooperation countries. Journal of Cleaner Production, 228, 533–543.

    Article  Google Scholar 

  • Zain, M. K., Otsuyama, M. S., & Shaw, R. (2022). Climate change adaptation in Myanmar. In Climate Change Adaptation in Southeast Asia (pp. 117–127). Springer.

    Chapter  Google Scholar 

  • Zhang, J., Dai, Y., Su, C. W., Kirikkaleli, D., & Umar, M. (2021). Intertemporal change in the effect of economic growth on carbon emission in China. Energy & Environment, 32(7), 1207–1225.

    Article  Google Scholar 

  • Zhao, J., Shahbaz, M., Dong, X., & Dong, K. (2021). How does financial risk affect global CO2 emissions? The role of technological innovation. Technological Forecasting and Social Change, 168, 120751.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

The idea of the original draft belongs to Su Lin and Haijun Kang. Su Lin designed the experiment and collect the dataset. The introduction and literature review sections are written by Haijun Kang.

Corresponding author

Correspondence to Su Lin.

Ethics declarations

Ethics approval

We confirmed that this manuscript has not been published elsewhere and is not under consideration by another journal. Ethical approval and Informed consent do not applicable for this study.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lin, S., Kang, H. Revisiting financial expansion and energy efficiency nexus with environment: empirical evidence from RCEP countries. Energy Efficiency 17, 7 (2024). https://doi.org/10.1007/s12053-024-10186-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12053-024-10186-0

Keywords

Navigation