Journals / Ekonomi Politika ve Finans Araştırmaları Dergisi / 2020 / Cilt: 5 Sayı: 3

Internet Usage, Economic Growth and Electricity Consumption: The Case of EU-15

İnternet Kullanımı, Ekonomik Büyüme ve Elektrik Tüketimi: EU-15 Örneği

Mustafa Kırca(DÜZCE ÜNİVERSİTESİ)0000-0002-5630-7525
Ömer Akkuş(SAMSUN ÜNİVERSİTESİ)0000-0003-4738-2694
Pages
576–594
Publication Date
2020-12-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The long-run coefficient results demonstrate that a change in internet usage for all EU-15 countries can reduce electricity consumption at a very low rate, but a change in economic growth increases electricity consumption.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to examine the impacts of internet usage and economic growth on electricity consumption in EU-15 countries.
📊
Key Findings & Data:In this study using panel cointegration test developed by Westerlund and Edgerton (2007), the existence of a cointegration relationship in both the constant model and the constant and trend model is proved.
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Conclusion & Impact:The long-run coefficient results demonstrate that a change in internet usage for all EU-15 countries can reduce electricity consumption at a very low rate, but a change in economic growth increases electricity consumption.
🔬Design:Modeling & Simulation
📍Scope:2007 Verileri
⚙️Variables:Elektrik Tüketimi · İnternet Kullanımı · AB-15 Ülkeleri

Abstract

The purpose of this study is to examine the impacts of internet usage and economic growth on electricity consumption in EU-15 countries. In this study using panel cointegration test developed by Westerlund and Edgerton (2007), the existence of a cointegration relationship in both the constant model and the constant and trend model is proved. The findings obtained by using the panel cointegration method indicate that internet usage and economic growth have a significant impact on electricity consumption in the long run. After identifying the existence of a panel cointegration relationship in EU-15 countries, the long-run cointegration coefficients were obtained with the Augmented Mean Group estimators developed by Eberhard and Bond (2009), Eberhardt and Teal (2010). The long-run coefficient results demonstrate that a change in internet usage for all EU-15 countries can reduce electricity consumption at a very low rate, but a change in economic growth increases electricity consumption. The country-based empirical findings suggest that the impact of internet usage and economic growth on electricity consumption varies in different countries.

Özet

Bu çalışmanın amacı EU-15 ülkelerinde internet kullanımı ve ekonomik büyümenin elektrik tüketimi üzerindeki etkilerini araştırmaktadır. Westerlund ve Edgerton (2007) tarafından geliştirilen panel eşbütünleşme testinin kullanıldığı bu çalışmada hem sabitli model hem de sabitli ve trendli modelde bir eşbütünleşme ilişkisinin varlığı kanıtlanmaktadır. Panel eşbütünleşme analiz yönteminden yararlanılarak elde edilen bulgular uzun dönemde internet kullanımı ve ekonomik büyümenin elektrik tüketimi üzerinde anlamlı bir etkisinin olduğunu göstermektedir. EU-15 ülkelerinde panel eşbütünleşme ilişkisinin varlığı belirlendikten sonra uzun dönem eşbütünleşme katsayıları Eberhard ve Bond (2009), Eberhardt ve Teal (2010) tarafından geliştirilen Genelleştirilmiş Ortalama Grup tahmincileri ile elde edilmiştir. Uzun dönem katsayı sonuçları EU-15 ülkelerinin tamamı için internet kullanımında meydana gelen bir değişimin elektrik tüketimini çok küçük bir oranda da olsa azaltabileceği ancak ekonomik büyümede meydana gelen bir değişimin ise elektrik tüketimini arttırdığını göstermektedir. Elde edilen ülke bazlı ampirik bulgular internet kullanımı ve ekonomik büyümenin elektrik tüketimi üzerindeki etkisinin ülkeden ülkeye farklılıklar içerdiğini göstermektedir.

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Cite This Article

Kırca, M., Akkuş, Ö. (2020). Internet Usage, Economic Growth and Electricity Consumption: The Case of EU-15. Ekonomi Politika ve Finans Araştırmaları Dergisi, Cilt: 5 Sayı: 3, 576–594. https://doi.org/10.30784/epfad.755639

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References (53)

  1. Aghion, P. and Howitt, P. (1998). Endogenous growth theory (Rev.ed.). The United States of America: The MIT Press.
  2. Aydin, M. (2019). Renewable and non-renewable electricity consumption-economic growth nexus: Evidence from OECD countries. Renewable Energy, 136(June), 599-606. https://doi.org/10.1016/j.renene.2019.01.008
  3. Balcilar, M., Bekun, F. and Uzuner, G. (2019). Revisiting the economic growth and electricity consumption nexus in Pakistan. Environmental Science and Pollution Research, 26, 12158–12170. doi:10.1007/s11356-019-04598-0
  4. Baltagi, B. H., Feng, Q. and Kao, C. (2012). A Lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164–177. doi:10.1016/j.jeconom.2012.04.004
  5. Breusch, T. S. and Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253. doi:10.2307/2297111
  6. Ciarreta, A. and Zarraga, A. (2010). Electricity consumption and economic growth in Spain. Applied Economics Letters, 17(14), 1417–1421. https://doi.org/10.1080/13504850903018689
  7. Collard, F., Feve, P. and Portier, F. (2005). Electricity consumption and ICT in the French service sector. Energy Economics, 27(3), 541-550. https://doi.org/10.1016/j.eneco.2004.12.002
  8. Dewan, S. and Kraemer, K. (1998). International dimensions of the productivity paradox. Communications of the ACM, 41(4), 56-62. https://doi.org/10.1145/280324.280333
  9. Eberhardt, M. and Bond, S. (2009). Cross-section dependence in nonstationary panel models: A novel estimator (MPRA Paper No.17692). Retrieved from https://mpra.ub.unimuenchen.de/17692/1/MPRA_paper_17692.pdf
  10. Eberhardt, M. and Teal, F. J. (2010). Productivity analysis in global manufacturing production (University of Oxford Department of Economics Discussion Paper Series No.515). Retrieved from https://www.economics.ox.ac.uk/materials/papers/4729/paper515
  11. Engle, R. F. and Granger, C. W. J. (1987). Co-Integration and error correction: representation, estimation, and testing. Econometrica, 55(2), 251. doi:10.2307/1913236
  12. Freeman, C. and Soete, L. (1997). The economics of industrial innovation (3. ed.). The United States of America: The MIT Press.
  13. Ghosh, S. (2002). Electricity consumption and economic growth in India. Energy Policy, 30(2), 125–129. https://doi.org/10.1016/S0301-4215(01)00078-7
  14. Greenhalgh, C. and Rogers, M. (2010). Innovation, intellectual property and economic growth (1. ed.). Princeton: Princeton University Press.
  15. Haacker, M. and Morsink, J. (2002). You say you want a revolution: Information technology and growth (IMF Working Paper Series No. WP0270). Retrieved from https://www.imf.org/en/Publications/WP/Issues/2016/12/30/You-Say-You-Want-A-RevolutionInformation-Technology-and-Growth-15787
  16. Hargreaves, T., Wilson, C. and Hauxwell-Baldwin, R. (2018). Learning to live in a smart home. Building Research and Information, 46(1), 127-139. doi:10.1080/09613218.2017.1286882
  17. Heddeghem, W., Lambert, S., Lannoo, B., Colle, D., Pickavet, M. and Demeester, P. (2014). Trends in worldwide ICT electricity consumption from 2007 to 2012. Computer Communications, 50(1 September), 64-76. https://doi.org/10.1016/j.comcom.2014.02.008
  18. Jorgenson, D. and Stiroh, K. (1995). Computers and growth. Economics of Innovation and New Technology, 3(3-4), 295-316. https://doi.org/10.1080/10438599500000008
  19. Kraft, J. and Kraft, A. (1978). On the relationship between energy and GNP. The Journal of Energy and Development, 3(2), 401-403. Retrieved from http://www.jstor.org/
  20. Laitner, J. (2002). Information technology and U.S. energy consumption: Energy hog, productivity tool, or both?. Journal of Industrial Ecology, 6(2), 13-24.doi:10.1162/108819802763471753
  21. Lin, B. and Wang, Y. (2019). Inconsistency of economic growth and electricity consumption in China: A panel VAR approach. Journal of Cleaner Production, 229, 144-156. https://doi.org/10.1016/j.jclepro.2019.04.396
  22. Liu, D., Ruan, L., Liu, J., Huan, H., Zhang, G., Feng, Y. and Li, Y. (2018). Electricity consumption and economic growth nexus in Beijing: A causal analysis of quarterly sectoral data. Renewable and Sustainable Energy Reviews, 82(P3), 2498-2503. doi:10.1016/j.rser.2017.09.016
  23. Mago, S. and Mago, S. (2015). Information and communications technologies (ICTs) and livelihoods enhancement in agro-rural communities in Zimbabwe: connections using the capabilities approach. J Communication, 6(1), 93-103. doi:10.1080/0976691X.2015.11884851
  24. McCoskey, S. and Kao, C. (1998). A residual-based test of the null of cointegration in panel data. Econometric Reviews, 17(1), 57–84. doi:10.1080/07474939808800403
  25. Morley, J., Widdicks, K. and Hazas, M. (2018). Digitalisation, energy and data demand: The impact of internet traffic on overall and peak electricity consumption. Energy Research and Social Science, 38(April), 128-137. https://doi.org/10.1016/j.erss.2018.01.018
  26. Moyer, J. and Hughes, B. (2012). ICTs: Do they contribute to increased carbon emissions? Technological Forecasting and Social Change, 79(5), 919-931. https://doi.org/10.1016/j.techfore.2011.12.005
  27. Narayan, P. K., Narayan, S. and Popp, S. (2010). Does electricity consumption panel Granger cause GDP? A new global evidence. Applied Energy, 87(10), 3294-3298. doi:10.1016/j.apenergy.2010.03.021
  28. Nasir, S. and Kalirajan, K. (2016). Information and communication technology-enabled modern services export performances of Asian economies. Asian Development Review, 33(1), 1–27. https://doi.org/10.1162/ADEV_a_00059
  29. Niebel, T. (2018). ICT and economic growth – comparing developing, emerging and. World Development, 104, 197-211. https://doi.org/10.1016/j.worlddev.2017.11.024
  30. Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels (Cambridge Working Papers in Economics). doi:10.17863/CAM.5113
  31. Pesaran, M. H., Ullah, A. and Yamagata, T. (2008). A bias-adjusted LM test of error cross-section independence. The Econometrics Journal, 11(1), 105–127. doi:10.1111/j.1368- 423X.2007.00227.x
  32. Pesaran, M. H. and Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. doi:10.1016/j.jeconom.2007.05.010
  33. Pothitou, M., Hanna, R. and Chalvatzis, K. (2017). ICT entertainment appliances’ impact on domestic electricity consumption. Renewable and Sustainable Energy Reviews, 69(March), 843-853. doi:10.1016/j.rser.2016.11.100
  34. Røpke, I. (2012). The unsustainable directionality of innovation – The example of the broadband transition. Research Policy, 41(9), 1631–1642. https://doi.org/10.1016/j.respol.2012.04.002
  35. Røpke, I., Christensen, T. and Jensen, J. (2010). Information and communication technologies – A new round of household electrification. Energy Policy, 38(4), 1764-1773. https://doi.org/10.1016/j.enpol.2009.11.052
  36. Sadorsky, P. (2012). Information communication technology and electricity consumption in emerging economies. Energy Policy, 48(September), 130-136. doi:10.1016/j.enpol.2012.04.064
  37. Saidi, K., Toumi, H. and Zaidi, S. (2017). Impact of information communication technology and economic growth on the electricity consumption: Empirical evidence from 67 countries. Journal of the Knowledge Economy, 8(3), 789-803. doi:10.1007/s13132-015-0276-1
  38. Salahuddin, M. and Alam, K. (2015). Internet usage, electricity consumption and economic growth in Australia: A time series evidence. Telematics and Informatics, 32(2015), 862-878. https://doi.org/10.1016/j.tele.2015.04.011
  39. Salahuddin, M. and Alam, K. (2016). Information and communication technology, electricity consumption and economic growth in OECD countries: A panel data analysis. International Journal of Electrical Power and Energy Systems, 76(March), 185-193. doi:10.1016/j.ijepes.2015.11.005
  40. Salahuddin, M., Alam, K. and Ozturk, I. (2016). The effects of internet usage and economic growth on CO2. Renewable and Sustainable Energy Reviews, 62, 1226–1235. https://doi.org/10.1016/j.rser.2016.04.018
  41. Satti, S. and Nour, O. (2002). The impact of ICT on economic development in the Arab World: A comparative study of Egypt and The Gulf Countries (ERF Working Papers Series No.237). Retrieved from https://erf.org.eg/wp-content/uploads/2017/05/0237
  42. Shiu, A. and Lam, P. (2004). Electricity consumption and economic growth in China. Energy Policy, 32(1), 47–54. https://doi.org/10.1016/S0301-4215(02)00250-1
  43. Smith, L. V., Leybourne, S., Kim, T.-H. and Newbold, P. (2004). More powerful panel data unit root tests with an application to mean reversion in real exchange rates. Journal of Applied Econometrics, 19(2), 147–170. doi:10.1002/jae.723
  44. Sredojević, D., Cvetanović, S. and Bošković, G. (2016). Technological changes in economic growth theory: neoclassical, endogenous, and evolutionary-institutional approach. Economic Themes, 54(2), 177-194. https://doi.org/10.1515/ethemes-2016-0009
  45. Stanley, T., Doucouliagos, H. and Steel, P. (2018). Does ICT generate economic growth? A metaregression analysis. Journal of Economic Surveys, 32(3), 705-726. https://doi.org/10.1111/joes.12211
  46. Swamy, P. A. V. B. (1970). Efficient inference in a random coefficient regression model. Econometrica, 38(2), 311. doi:10.2307/1913012
  47. Westerlund, J. (2005). A panel CUSUM test of the null of cointegration. Oxford Bulletin of Economics and Statistics, 67(2), 231–262. doi:10.1111/j.1468-0084.2004.00118.x
  48. Westerlund, J. (2006). Reducing the size distortions of the panel LM Test for cointegration. Economics Letters, 90(3), 384–389. doi:10.1016/j.econlet.2005.09.002
  49. Westerlund, J. and Edgerton, D. L. (2007). A panel bootstrap cointegration test. Economics Letters, 97(3), 185–190. doi:10.1016/j.econlet.2007.03.003
  50. Wolde-Rufael, Y. (2014). Electricity consumption and economic growth in transition countries: A revisit using bootstrap panel Granger causality analysis. Energy Economics, 44, 325-330. https://doi.org/10.1016/j.eneco.2014.04.019
  51. Yan, Z., Shi, R. and Yang, Z. (2018). ICT development and sustainable energy consumption: A perspective of energy productivity. Sustainability, 10(7), 2568. doi:10.3390/su10072568
  52. Yang, H. (2000). A note on the causal relationship between energy and GDP in Taiwan. Energy Economics, 22(3), 309-317. https://doi.org/10.1016/S0140-9883(99)00044-4
  53. Yoo, S. (2005). Electricity consumption and economic growth: Evidence from Korea. Energy Policy, 33(12), 1627–1632. https://doi.org/10.1016/j.enpol.2004.02.002