Journals / Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi / 2013 / Cilt: 1 - Sayı: 1

The Impact of Electricity Consumption on Economic Development in Turkey: A Geographically Weighted Regression Approach

Türkiye’de Elektrik Tüketiminin Ekonomik Gelişmeye Etkisi: Coğrafi Ağırlıklı Regresyon Yöntemi

Pages
31–48
Publication Date
2013-01-01
DOI
—
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AI Summary & Key Takeaways

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

The lowest effect was in the provinces located in the eastern and especially in the Southern East

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, for NUTS 3 level region of Turkey, the relation between economic development level and electricity consumption in 2000 has been reviewed.
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Key Findings & Data:The geographically weighted regression GWR that deals with interregional differences was used in this study.
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Conclusion & Impact:The lowest effect was in the provinces located in the eastern and especially in the Southern East
🔬Design:Review & Systematic Survey
📍Scope:2000 Verileri
⚙️Variables:Coğrafi Ağırlıklı Regresyon · Elektrik Tüketimi · Ekonomik Gelişme

Abstract

In this study, for NUTS 3 level region of Turkey, the relation between economic development level and electricity consumption in 2000 has been reviewed. The geographically weighted regression GWR that deals with interregional differences was used in this study. Empirical analyses carried out in this paper indicate that the electricity consumption affected the economic development positively both in local and global level. When the indicators of production factors and human capital were included in the model, all of them affected the economic development positively, both in local and global level. When the spatial distribution of local parameters has reviewed, the largest effect of electricity consumption on the economic development level was seen in the provinces which are located in the middle section that close to the western side of Turkey. The lowest effect was in the provinces located in the eastern and especially in the Southern East

Özet

Bu çalışmada Türkiye’nin 2000 yılındaki NUTS 3 düzey bölgeleri için ekonomik büyüme ve elektrik tüketimi arasındaki ilişki incelenmiştir. Bölgeler arası farklılık arz eden ilişkileri modelleyen Coğrafi Ağırlıklı Regresyon CAR kullanılmıştır. Amprik analiz sonucunda elektrik tüketimin ekonomik gelişmeyi hem local hem de global düzeyde pozitif olarak etkilediği belirlenmiştir. Modele dahil edilen üretim faktörleri ve beşeri sermaye göstergelerinin de ekonomik gelişmeyi hem local hemde global düzeyde pozitif yönde etkilediği tespit edilmiştir. Local parametrelerin mekansal dağılımı incelendiğinde elektrik tüketiminin ekonomik gelişmeyi en çok etkilediği illerin Türkiye’nin batısına doğru orta yerde konumlanan illerdir. En düşük etki ise doğu ve güneydoğu bölgesindeki illerdir.

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Cite This Article

ASLAN, T., ARI, A., ZEREN, F. (2013). The Impact of Electricity Consumption on Economic Development in Turkey: A Geographically Weighted Regression Approach. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, Cilt: 1 - Sayı: 1, 31–48. https://ajindex.com/articles/173821

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References (9)

  1. Altınay G and Karagöl E (2005), “Electricity Consumption and Economic Growth: Evidence from Turkey”, Energy Economics 27, p. 849-856.
  2. Ağır H and Kar M (2010), “Türkiye’de Elektrik Tüketimi ve Ekonomik Gelişmişlik Düzeyi İlişkisi: Yatay-Kesit Analizi (Relationship Between Electrical Consumption and Economic Development in Turkey: A Cross-Section Analysis)”, Sosyo-Ekonomi 12/2010, ISSN 1305-5577, http://www.sosyoekonomi.hacettepe.edu.tr/10EN07.pdf. Devlet Planlama Teşkilatı-DPT (State Planning Organization) (1996). İllerin Sosyo-Ekonomik Gelişmişlik Sıralaması Araştırması (Research Of Social-Economic Of The Provinces And Regions), Ankara, http://ekutup.dpt.gov.tr/bolgesel/dincerb/il/1.pdf. Devlet Planlama Teşkilatı-DPT (State Planning Organization) (2003), İllerin ve Bölgelerin Sosyo-Ekonomik Gelişmişlik Sıralaması Araştırması (Research Of Social-Economic of the Provinces and Regions), Ankara, www.dpt.gov.tr/DocObjects/./3116/2003-05.pdf. Eckey HF, Reinhold K and Matthias T. (2007), “Regional Convergence in Germany: A Geographically Weighted Regression Approach”, Spatial Economic Analysis 2(1), p. 45-64.
  3. Erol E. (2007), Türkiye'de Elektrik Enerjisinin Tarihi Gelişimi: 1902-2000,
  4. İstanbul University, Institution of Social Science, Department of Economy science, (Unpublished doctoral thesis). Erbaykal E. (2008), “Disaggregate Energy Consumption and Economic Growth: Evidence from Turkey”, International Research Journal of Finance and Economics, Issue 20, p.172-179.
  5. Erdal G, Erdal H and Esengun K. (2008), “The Causality between Energy Consumption and Economic Growth in,Turkey”, Energy Policy 36, p. 3838–3842.
  6. Fotheringham A S, Charlton M E and Brunsdon C. (1998), “Geographically Weighted Regression. A Natural Evolution of the Expansion Method for Spatial Data”, Environment and Planning A 30(11), p. 1905- 1927.
  7. Fotheringham A S, Brunsdon C and Charlton M E. (2002), Geographically Weighted Regression: The Analysis of Spatial Varying Relationships, Jon Wiley & Sons. Ghosh S. (2002), “Electricity Consumption and Economic Growth in India”, Energy Policy 30, p. 125-129.
  8. Jumbe CBL. (2004), “Cointegration and Causality Between Electricity Consumption and GDP: Empirical Evidence from Malawi”, Energy Economics 26, p. 61–68.
  9. Kar M and E Kınık. (2008), “An Econometric Analysis of the Relationship Between the Types of Electricity Consumption and Economic Growth in Turkey”, Afyon Kocatepe Universitesi, İktisadi ve İdari Bilimler Fakültesi Dergisi 10(2), p. 333-353. Karaca