The Relationship between GDP, Labor, Capital, and Total Energy Consumption: The Case of European Union

Abstract

This study investigates the long-run relationship between GDP, energy consumption, capital stock, and labor in the European Union (EU) from 2003 to 2023 using panel data analysis. The research aims to contribute to the literature by focusing on bidirectional causality among these variables. After conducting cross-sectional dependence and unit root tests, the Westerlund panel cointegration test was applied, while the Driscoll-Kraay estimator—accounting for cross-sectional dependence and heterogeneity-was employed to estimate coefficients. The empirical findings indicate that capital stock accumulation exerts a statistically significant and strong positive impact on GDP. Conversely, energy consumption demonstrates a negative and significant effect on economic growth, suggesting that the EU's energy efficiency and green transformation policies may align with long-term economic performance. Changes in labor force, however, show no statistically significant effect. The Dumitrescu-Hurlin panel causality test reveals strong bidirectional relationships between GDP and both capital and energy consumption, confirming the dynamic interdependence among these variables.

Keywords

• Panel data analysis
• Driscoll-Kraay estimator
• Causality relationship

GSYH, Emek, Sermaye ve Toplam Enerji Tüketimi Arasındaki İlişki: Avrupa Birliği Örneği

Öz

Bu çalışma, 2003-2023 döneminde Avrupa Birliği’de (AB) gayrisafi yurtiçi hasıla (GSYH), enerji tüketimi, sermaye stoğu ve işgücü arasındaki uzun dönemli ilişkiyi panel veri analiziyle incelemektedir. Araştırma, söz konusu değişkenler arasındaki karşılıklı nedensellik ilişkisine odaklanarak literatüre katkı sağlamayı amaçlamaktadır. Yatay kesit bağımlılığı ve birim kök testlerinin ardından, Westerlund panel eşbütünleşme testi uygulanmış, uzun ve kısa dönem katsayı tahminleri için ise yatay kesit bağımlılığını ve heterojeniteyi dikkate alan Driscoll-Kraay tahmincisi kullanılmıştır. Ampirik bulgular, sermaye stokundaki artışın GSYH üzerinde istatistiksel olarak anlamlı ve güçlü bir pozitif etkiye sahip olduğunu göstermektedir. Buna karşın, enerji tüketiminin ekonomik büyüme üzerindeki etkisi negatif ve anlamlı bulunmuştur. Bu sonuç, AB'nin enerji verimliliği ve yeşil dönüşüm politikalarının uzun vadede ekonomik performansla uyumlu olabileceğine işaret etmektedir. İşgücü miktarındaki değişimlerin ise anlamlı bir etkisi tespit edilememiştir. Dumitrescu-Hurlin panel nedensellik testi, GSYH ile hem sermaye hem de enerji tüketimi arasında çift yönlü güçlü ilişkiler olduğunu ortaya koyarak değişkenler arasındaki dinamik bağımlılığı teyit etmektedir.

Anahtar Kelimeler

• Panel veri analizi
• Driscoll-Kraay hahmincisi
• Nedensellik ilişkisi

References

1. Akçay, S. ve Tulu, M. (2017). İş gücü verimliliği ve sermaye yatırımlarının ekonomik büyümeye etkisi: Gelişen piyasa ekonomileri üzerine bir inceleme. İktisat ve Finans Dergisi, 32(4), 45-62.
2. Altınay, G. ve Karagol, E. (2005). Electricity consumption and economic growth: Evidence from Turkey. Energy Economics, 27(6), 849-856.
3. Apergis, N., and Payne, J. E. (2010). Energy consumption and economic growth: Evidence from the Commonwealth of Independent States. Energy Economics, 32(3), 541-547.
4. Ang, J. B. (2008). Economic development, pollutant emissions and energy consumption in Malaysia. Journal of Policy Modeling, 30(2), 271-278.
5. Babatunde, M. A., and Öztürk, İ. (2018). Energy consumption and economic growth in developing countries: Evidence from panel cointegration analysis. Energy Sources, Part B: Economics, Planning, and Policy, 13(2), 105-112.
6. Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer.
7. Barro, R. J., and Sala-i-Martin, X. (1995). Economic growth. McGraw-Hill.
8. Bayer, E., Frondel, M., and Schmidt, C. M. (2020). The economic impact of renewable energy development in the European Union. ZEW Discussion Paper, No. 20-045.

9. Bayer, E., Frondel, M., and Schmidt, C. M. (2021). Energy efficiency and economic growth in Germany: A sectoral analysis. Energy Policy, 149, 112-125.
10. Bayer, E., Frondel, M., and Schmidt, C. M. (2024). Renewable energy and economic stability in the European Union. Energy Economics, 115, 106-118.
11. Breusch, T. S., and Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. Review of Economic Studies, 47(1), 239–253.
12. Chien, F., and Hu, J. L. (2022). The impact of energy consumption on economic growth in Asia-Pacific region: A panel data analysis. Energy Reports, 8, 135-142.
13. Chudik, A., and Pesaran, M. H. (2015). Large panel data models with cross-sectional dependence: A survey. CAFE Research Paper, No. 15.13.
14. Driscoll, J. C., and Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80(4), 549-560.
15. Dumitrescu, E.-I., and Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.
16. Filippini, M. (2004). Energy consumption and economic growth in European countries: A panel data analysis. Energy Economics, 26(5), 685-695.
17. Gholizadeh, Y., ve Narin, M. (2020). Seçilmiş Avrupa Birliği ülkelerinde yenilenebilir enerjinin GSYH üzerine etkisi: Cobb-Douglas üretim fonksiyonu yaklaşımı. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(1), 249-270.
18. Ghosh, S. (2002). Electricity consumption and economic growth in India. Energy Policy, 30(2), 125-129. Greene, W. H. (2018). Econometric analysis (8th ed.). Pearson Education.
19. Güngör, H., Dündar, S., ve Özdemir, A. (2020). Enerji tüketimi ve ekonomik büyüme ilişkisi: Gelişmekte olan ülkeler için panel veri analizi. Ekonometri ve İstatistik Dergisi, (32), 45-60.
20. Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251-1271. Hoechle, D. (2007). Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal, 7(3), 281-312.
21. Krause, T., and Lüthje, H. (2021). Energy consumption, renewable energy and economic growth in European countries. Energy Economics, 93, 105-117.
22. Lee, C. C. (2005). Energy consumption and GDP in developing countries: A cointegrated panel analysis. Energy Economics, 27(3), 415-427.
23. Levin, A., Lin, C. F., and Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
24. Liang, W., Wang, Y., and Wei, Y. (2023). Low-carbon growth strategies and long-term economic effects: Evidence from panel data analysis. Journal of Cleaner Production, 382, 135-147.
25. Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3-42. Mankiw, N. G., Romer, D., and Weil, D. N. (1992). A contribution to the empirics of economic growth. The Quarterly Journal of Economics, 107(2), 407-437.
26. Moras, J., Bolivar, M., and Cardona, C. (2022). Renewable energy and economic growth in Latin America and the Caribbean. Energy Economics, 112, 106-118.
27. Narayan, P. K., and Smyth, R. (2008). Energy consumption and real GDP in G7 countries: New evidence from panel cointegration with structural breaks. Energy Economics, 30(5), 2331-2341.
28. OECD. (2023). Regions in industrial transition: Regional outlook 2023. Organisation for Economic Co-operation and Development.
29. Öztürk, İ. (2010). A literature survey on energy-growth nexus. Energy Policy, 38(1), 340-349.
30. Persyn, D., and Westerlund, J. (2008). Error-correction–based cointegration tests for panel data. The Stata Journal, 8(2), 232–241.
31. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics No. 0435.
32. 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.
33. Pesaran, M. H., Shin, Y., and Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621-634.
34. Sadorsky, P. (2009). Renewable energy consumption and income in emerging economies. Energy Policy, 37(10), 4021-4028.
35. Sarı, R., and Soytaş, U. (2007). Energy consumption and economic growth in Turkey: Evidence from cointegration and causality tests. Energy Policy, 35(11), 542-549.
36. Soytaş, U., Sari, R., and Ewing, B. T. (2007). Energy consumption, income, and carbon emissions in the United States. Ecological Economics, 62(3-4), 482-489.
37. Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65-94.
38. Stern, D. I. (2011). The role of energy in economic growth. Annals of the New York Academy of Sciences, 1219(1), 26-51.
39. Swamy, P. A. V. B. (1970). Efficient ınference in a random coefficient regression model. Econometrica, 38(2), 311-323.
40. Usta, C. (2016). Türkiye’de enerji tüketimi ekonomik büyüme ilişkisinin bölgesel analizi. Uluslararası Ekonomi ve Yenilik Dergisi, 2(2), 181-201.
41. Wooldridge, J. M. (2019). Introductory econometrics: A modern approach (7th ed.). Cengage Learning.
42. Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
43. World Bank. (2023). World development report 2023: Migrants, refugees, and societies. Washington, DC: World Bank.