Eurasian Economic Review

, Volume 6, Issue 1, pp 97–110 | Cite as

CO2 emissions and human development in OECD countries: granger causality analysis with a panel data approach

Original Paper

Abstract

Carbon dioxide (CO2) is a major greenhouse gas emitted through human activities resulting from energy use. This study examines the causal relation between the logarithms of the human development index and CO2 emissions in 33 Organization for Economic Co-operation and Development countries for 1992–2011. Moreover, it applies a new panel data approach developed by Konya (2006). This approach is based on the seemingly unrelated regression system and Wald tests with country-specific bootstrap critical values. The results obtained from the Granger causality analysis support the growth hypothesis for Denmark, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Poland, Spain, Slovakia, Turkey, and the U.S. In addition, they support the conservation hypothesis for Chile, Czech Republic, Estonia, Finland, France, Greece, New Zealand, and Mexico. The feedback hypothesis is observed for Iceland, Norway, Portugal, and Switzerland as well as the neutrality hypothesis of the other countries (Australia, Austria, Belgium, Canada, Hungary, Netherlands, Slovenia, Sweden, and the UK). This implies that conservation policies that are related to coal, gas, electricity, and oil consumption can reduce CO2 emissions but may simultaneously hinder economic growth and human living standards. However, if conservation policies are not implemented, the detrimental effects of environmental degradation could also affect human living standards. Therefore, policymakers must develop strategic plans to reduce carbon emissions that do not negatively impact their constituents. One possible way to achieve this is by increasing the efficiency of energy use.

Keywords

CO2 emissions Human development Granger causality Konya methods 

Notes

Acknowledgments

We are grateful to anonymous reviewers for their constructive and valuable comments that helped us to improve the paper. We also would like to thank Laszló Kónya and Şaban Nazlıoğlu for providing us with TSP codes.

References

  1. Acaravci, A., & Ozturk, I. (2010). Electricity consumption-growth nexus: Evidence from panel data for transition countries. Energy Economics, 32, 604–608.CrossRefGoogle Scholar
  2. Alam, M., Begum, I., Buysse, J., & Huylenbroeck, G. (2012). Energy consumption, carbonemissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis. Energy Policy, 45, 217–225.CrossRefGoogle Scholar
  3. Alkhathlan, K., & Javid, M. (2013). Energy consumption, carbon emissions and economic growth in Saudi Arabia: An aggregate and disaggregate analysis. Energy Policy, 62, 1525–1532.CrossRefGoogle Scholar
  4. Apergis, N., & Payne, J. (2009). Energy consumption and economic growth: Evidence form the commonwealth of independent states. Energy Economics, 31, 641–647.CrossRefGoogle Scholar
  5. Apergis, N., & Payne, J. (2010). The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states. Energy Policy, 38, 650–655.CrossRefGoogle Scholar
  6. Apergis, N., & Payne, J. (2011). A dynamic panel study of economic development and the electricity consumption-growth nexus. Energy Economics, 33, 770–781.CrossRefGoogle Scholar
  7. Breusch, T., & Pagan, A. (1980). The Lagrange multiplier test and its application to model specifications in econometrics. Reviews of Economics Studies, 47, 239–253.Google Scholar
  8. Cil Yavuz, N. (2014). CO2 emission, energy consumption, and economic growth for Turkey: Evidence from a cointegration test with a structural break. Energy Sources (Part B), 9, 229–235.CrossRefGoogle Scholar
  9. Cowan, W., Chang, T., Inglesi-Lotz, R., & Gupta, R. (2014). The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries. Energy Policy, 66, 359–368.CrossRefGoogle Scholar
  10. Dritsaki, C., & Dritsaki, M. (2014). Causal relationship between energy consumption, economic growth and CO2 emissions: A dynamic panel data approach. International Journal of Energy Economics and Policy, 4(2), 125–136.Google Scholar
  11. Hsueh, S., Hu, Y., & Tu, C. (2013). Economic growth and financial development in Asian countries: A boostrap panel Granger causality analysis. Economic Modelling, 32, 294–301.Google Scholar
  12. Hurlin, C. (2008). Testing for Granger Non‐causality in Heterogeneous Panels. halshs-00224434, version 1–30 Jan 2008.Google Scholar
  13. Kar, M., Nazlıoğlu, Ş., & Ağır, H. (2011). Financial development and economic growth nexus in the MENA countries: boostrap panel Granger causality analysis. Economic Modelling, 28, 685–693.CrossRefGoogle Scholar
  14. Kim, S., Lee, K., & Nam, K. (2010). The relationship between CO2 emissions and economic growth: the case of Korea with nonlinear evidence. Energy Policy, 38, 5938–5946.CrossRefGoogle Scholar
  15. Konya, L. (2005). Saving and growth: Granger causality analysis with bootstrapping on panels of countries. Journal of Economic Research, 10, 231–260.Google Scholar
  16. Konya, L. (2006). Export and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23, 978–992.Google Scholar
  17. Kraft, J., & Kraft, A. (1978). On the relationship between energy and GNP. Journal of Energy and Development, 3, 401–403.Google Scholar
  18. Lee, C.-C. (2005). Energy consumption and GDP in developing countries: A cointegrated panel analysis. Energy Economics, 27, 415–427.CrossRefGoogle Scholar
  19. Martinez, D. M., & Ebenhack, B. W. (2008). Understanding the role of energy consumption in human development through the use of saturation phenomena. Energy Policy, 36, 1430–1435.CrossRefGoogle Scholar
  20. Mehrara, M. (2007). Energy consumption and economic growth: The case of oilEnergy consumption and economic growth: The case of oil exporting countries. Energy Policy, 35, 2939–2945.CrossRefGoogle Scholar
  21. Narayan, P. K., & Smyth, R. (2009). Multivariate granger causality between electricity consumption, exports and GDP: Evidence from a panel of Middle Eastern countries. Energy Policy, 37, 229–236.CrossRefGoogle Scholar
  22. Nazlioglu, S., Lebe, F., & Kayhan, S. (2011). Nuclear energy consumption and economic growth in OECD countries: Cross‐sectionally dependent heterogeneous panel causality analysis. Energy Policy, 39, 6615–6621.Google Scholar
  23. Niu, S., Ding, Y., Niu, Y., Li, Y., & Luo, G. (2011). Economic growth, energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries. Energy Policy, 39, 2121–2131.CrossRefGoogle Scholar
  24. Niu, S., Jia, Y., Wang, W., He, R., Hu, L., & Liu, Y. (2013). Electricity consumption and human development level: A comparative analysis based on panel data for 50 countries. Electrical Power and Energy Systems, 53, 338–347.CrossRefGoogle Scholar
  25. Ouedraogo, N. (2013). Energy consumption and human development: evidence from a panel. Energy, 63, 28–41.CrossRefGoogle Scholar
  26. 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.CrossRefGoogle Scholar
  27. Pesaran, M. (2004). General diagnostic tests for cross section dependence in panels. CESifo Working Paper 1229; IZA Discussing Paper 1240.(970).Google Scholar
  28. Pesaran, M. (2006). Estimation and inference in large heterogenous panel with a multifactor error structure. Econometrica, 74(4), 967–1012.CrossRefGoogle Scholar
  29. Pesaran, M., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142, 50–93.CrossRefGoogle Scholar
  30. Pesaran, M., Shin, Y., & Smith, R. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634.CrossRefGoogle Scholar
  31. Saboori, B., & Sulaiman, J. (2013). Environmental degradation, economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia. Energy Policy, 60, 892–905.CrossRefGoogle Scholar
  32. Shahbaz, M., & Lean, H. H. (2012). The dynamics of electricity consumption and economic growth: A revisit study of their causality in Pakistan. Energy, 39, 146–153.CrossRefGoogle Scholar
  33. Soytas, U., & Sari, R. (2009). Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member. Ecological Economics, 68, 1667–1675.CrossRefGoogle Scholar
  34. Soytas, U., Sari, R., & Ewing, B. (2007). Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62, 482–489.CrossRefGoogle Scholar
  35. Steinberger, J. K., & Roberts, J. (2010). From constraint to sufficiency: The decoupling of energy and carbon from human needs, 1975–2005. Ecological Economics, 70, 425–433.CrossRefGoogle Scholar
  36. UNDP. (1990). Human development report. New York: UNDP, Oxford University Press.Google Scholar
  37. UNDP. (2014). Human development report, 2014 sustaining human progress: Reducing vulnerabilities and building resilience. New York: Oxford University Press.CrossRefGoogle Scholar
  38. Wang, S., Zhou, D., Zhou, P., & Wang, Q. (2011). CO2 emissions, energy consumption and economic growth in China: A panel data analysis. Energy Policy, 39, 4870–4875.CrossRefGoogle Scholar
  39. Warr, B., Ayres, R., & Williams, E. (2009). Increase supplies, increase efficiency: Evidence of causality between the quantity and quality of energy consumption and economic growth. INSEAD working paper Google Scholar
  40. Wolde-Rufael, Y. (2009). Energy consumption and economic growth: The experience of African countries revisited. Energy Economics, 31, 217–224.CrossRefGoogle Scholar
  41. Zellner, A. (1962). An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias. Journal of the American Statistical Association, 57, 348–368.CrossRefGoogle Scholar

Copyright information

© Eurasia Business and Economics Society 2015

Authors and Affiliations

  1. 1.Erzurum Technical UniversityErzurumTurkey

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