Skip to main content

Advertisement

Log in

An investigation of the environmental Kuznets relationship in BRICS countries at a sectoral economic level

  • Original Paper
  • Published:
Energy Systems Aims and scope Submit manuscript

Abstract

The nexus between economic growth and environmental conditions in BRICS countries for the period 2005–2018, using a Panel Corrected Standard Errors methodology considering cross-sectional dependence, heterogeneous slope coefficients, and aggregate data on four sectors of the economy: agriculture and forestry, industries (including construction), commercial and public services, and transportation, were studied. The study employs a set of covariates such as per sector electricity, coal, oil consumption, sectoral Gross Value Added, and carbon dioxide (CO2) emissions to account for sectoral income and environmental degradation. This study further contributes to the literature by being one of the pioneering works that examine the environmental Kuznets relationship at the sectoral level in the BRICS countries. It was revealed that sectoral income has a positive and statistically significant effect on CO2 emissions for the industrial sector and a negative and statistically significant effect on CO2 emissions for the commercial and public utilities sectors. It was confirmed for Russia that the relationship between income growth in the transportation sector is a U-shaped Kuznets curve. So as income growth, this will result in further environmental damage. The Russian and South African agriculture and forestry sector and the Chinese commercial and public services sector revealed an inverted U-shaped curve.

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

Similar content being viewed by others

Availability of data and materials

Not applicable.

References

  1. Ozturk, I.: Sustainability in the food-energy-water nexus: Evidence from BRICS (Brazil, the Russian Federation, India, China, and South Africa) countries. Energy 93, 999–1010 (2015)

    Article  Google Scholar 

  2. Williamson, S.D.: Macroeconomics (Fifth Edition, International Edition). Pearson, London (2014)

    Google Scholar 

  3. OECD: OECD Economic Outlook, Vol 2012/2. OECD Publishing, Durham (2012)

    Book  Google Scholar 

  4. The World Bank.: World Development Indicators. Washington, D.C.: The World Bank (producer and distributor). Available at: https://data.worldbank.org/indicator (2019). Accessed 06 Jan 2020

  5. BP Statistical Review of World Energy (2019). Available at: https://www.bp.com/content/dam/bp/businesssites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2019-full-report.pdf. Accessed 10 Jan 2020

  6. Grossman, G., Krueger, A.: Economic growth and the environment, WP-4634. National Bureau of Economic Research, Cambridge (1994)

    Google Scholar 

  7. Ummalla, M., Samal, A.: The impact of natural gas and renewable energy consumption on CO2 emissions andeconomic growth in two major emerging market economies. Environ Sci Pollut Res 26, 20893–20907 (2019)

    Article  Google Scholar 

  8. Jorgenson, A.K., Clark, B.: Are the economy and the environment decoupling? A comparative international study, 1960–2005. Am. J. Sociol. 118, 1–44 (2012)

    Article  Google Scholar 

  9. York, R., Rosa, E.A., Dietz, T.: A rift in modernity? Assessing the anthropogenic sources of global climate change with the STIRPAT model. Int. J. Sociol. Soc. Policy 23, 31–51 (2003)

    Article  Google Scholar 

  10. Granados, J.A.T., Carpintero, O.: Dispelling the smoke: CO2 emissions and economic growth from a global perspective. Working Paper, University of Michigan (2009). http://sitemaker.umich.edu/tapia_granados/files/co2_emissions_and_gdp_growth_-_dec_2009_-_f2.pdf. Accessed 5 Jan 2014

  11. Piaggio, M., Padilla, E.: CO2 emissions and economic activity: Heterogeneity across countries and non-stationary series. Energy Policy 46, 370–381 (2012)

    Article  Google Scholar 

  12. Rosa, E.A., Dietz, T.: Human drivers of national greenhouse-gas emissions. Nat. Clim. Change 2, 581–586 (2012)

    Article  Google Scholar 

  13. Knight, K.W., Schor, J.B.: Economic growth and climate change: a cross-national analysis of territorial and consumption-based carbon emissions in high-income countries. Sustainability 6, 3722–3731 (2014)

    Article  Google Scholar 

  14. Bölük, G., Mert, M.: The renewable energy, growth and environmental Kuznets curve in Turkey: An ARDL approach. Renew. Sustain. Energy Rev. 52, 587–595 (2013)

    Article  Google Scholar 

  15. Dogan, E., Seker, F.: Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy. Renew. Energy 94, 429–439 (2016)

    Article  Google Scholar 

  16. Aslanidis, N., Iranzo, S.: Environment and development: Is there a Kuznets curve for CO2 emissions? Appl. Econ. 41(6), 803–810 (2009)

    Article  Google Scholar 

  17. Chiu, Y.: Deforestation and the environmental Kuznets Curve in developing countries: A panel smooth transition regression approach. Can. J. Agric. Econ. 60(2), 177–194 (2012)

    Article  Google Scholar 

  18. Hossain, S.: Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries. Energy Policy 39(11), 6991–6999 (2011)

    Article  Google Scholar 

  19. Aye, G.C., Edoja, P.E.: Effect of economic growth on CO2 emission in developing countries: Evidence from a dynamic panel threshold model. Cogent Econ. Fin. 5, 1 (2017). https://doi.org/10.1080/23322039.2017.1379239

    Article  Google Scholar 

  20. Beyene, S.D., Kotosz, B.: Testing the environmental Kuznets curve hypothesis: An empirical study for East African countries. Int. J. Environ. Stud. (2019). https://doi.org/10.1080/00207233.2019.1695445

    Article  Google Scholar 

  21. Abokyi, E., Appiah-Konadu, P., Abokyi, F., Oteng-Abayie, E.F.: Industrial growth and emissions of CO2 in Ghana: The role of financial development and fossil fuel consumption. Energy Rep. 5, 1339–1353 (2019)

    Article  Google Scholar 

  22. Alam, J.: Impact of agriculture, industry and service sector’s value added in the GDP on CO2 emissions of selected South Asian countries. World Rev. Bus. Res. 5(2), 39–59 (2015)

    Google Scholar 

  23. Nordhaus, W.: Economic aspects of global warming in a post-Copenhagen environment. Proc. Natl. Acad. Sci. 107(26), 11721–11726 (2010). https://doi.org/10.1073/pnas.1005985107

    Article  Google Scholar 

  24. Stern, D., van Dijk, J.: Economic growth and global particulate pollution concentrations. Clim. Change 142(3), 391–406 (2017)

    Article  Google Scholar 

  25. Ru, M., Shindell, D.T., Seltzer, K.M., Tao, S., Zhong, Q.: The long-term relationship between emissions and economic growth for SO2, CO2, and BC. Environ. Res. Lett. 13, 124021 (2018)

    Article  Google Scholar 

  26. Sohag, K., Al Mamun, M., Uddin, G.S., Ahmed, A.M.: Sectoral output, energy use, and CO2 emission in middle-income countries. Environ. Sci. Pollut. Res. 24, 9754–9764 (2017)

    Article  Google Scholar 

  27. Liddle, B.: The energy, economic growth, urbanization nexus across development: evidence from heterogeneous panel estimates robust to cross-sectional dependence. Energy J. 34(2), 223–244 (2013)

    Article  Google Scholar 

  28. Driscoll, J.C., Kraay, A.C.: Consistent covariance matrix estimation with spatially dependent panel data. Rev. Econ. Stat. 80, 549–560 (1998)

    Article  Google Scholar 

  29. Pesaran, M.H.: A simple panel unit root test in the presence of cross-section dependence. J. Appl. Econom. 22(2), 265–312 (2007)

    Article  MathSciNet  Google Scholar 

  30. Hoechle, D.: Robust standard errors for panel regressions with cross-sectional dependence. Stata J. 7(3), 281–312 (2007)

    Article  Google Scholar 

  31. Parks, R.: Efficient estimation of a system of regression equations when disturbances are both serially and contemporaneously correlated. J. Am. Stat. Assoc. 62, 500–509 (1967)

    Article  MathSciNet  MATH  Google Scholar 

  32. Beck, N., Katz, J.N.: What to do (and not to do) with Time-Series Cross-Section Data. Am. Polit. Sci. Rev. 89(3), 634–647 (1995)

    Article  Google Scholar 

  33. Greene, W.H.: Econometric Analysis. Prentice-Hall, Upper Saddle River (2003).. (ISBN 0-13-066189-9)

    Google Scholar 

  34. Sasana, H., Ghozali, I.: The impact of fossil and renewable energy consumption on the economic growth in Brazil, Russia, India, China and South Africa. Int. J. Energy Econ. Policy 7(3), 194–200 (2017)

    Google Scholar 

  35. Ruggiero, S., Lehkonen, H.: Renewable energy growth and the financial performance of electric utilities: a panel data study. J. Clean. Prod. 142(4), 3676–3688 (2017)

    Article  Google Scholar 

  36. Gu, J., Renwick, N., Xue, L.: The BRICS and Africa’s search for green growth, clean energy and sustainable development. Energy Policy 120, 675–683 (2018)

    Article  Google Scholar 

  37. Simonova, M., Zakrahov, V.E., Mamiy, I.: Prospects of renewable energy sources: The case study of the BRICS countries. Int. J. Energy Econ. Policy 9(5), 186–193 (2019)

    Article  Google Scholar 

  38. Zhou, A., Li, J.: Heterogeneous role of renewable energy consumption in economic growth and emissions reduction: Evidence from a panel quantile regression. Environ. Sci. Pollut. Res. 26(22), 22575–22595 (2019)

    Article  Google Scholar 

  39. Zhang, Y.J., Jin, Y.L., Shen, B.: Measuring the energy saving and CO2 emissions reduction potential under China’s Belt and Road Initiative. Comput. Econ. 55, 1095–1116 (2020). https://doi.org/10.1007/s10614-018-9839-0

    Article  Google Scholar 

Download references

Funding

CeBER R&D unit funded by national funds through FCT–Fundação para a Ciência e a Tecnologia, I.P., project UIDB/05037/2020; NECE, R&D unit funded by national funds through FCT–Fundação para a Ciência e a Tecnologia, I.P., project UIDB/04630/2020.

Author information

Authors and Affiliations

Authors

Contributions

EF: Conceptualization, Writing-Original draft preparation, Supervision, Validation. JAF: Formal analysis, Visualization, Writing-Reviewing and Editing. VM: Data curation, Methodology, Investigation.

Corresponding author

Correspondence to José Alberto Fuinhas.

Ethics declarations

Conflict of interest

Not applicable.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ferreira, E., Fuinhas, J.A. & Moutinho, V. An investigation of the environmental Kuznets relationship in BRICS countries at a sectoral economic level. Energy Syst 13, 1031–1054 (2022). https://doi.org/10.1007/s12667-021-00459-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12667-021-00459-3

Keywords

Navigation