Journals / Gaziantep Üniversitesi Sosyal Bilimler Dergisi / 2019 / Cilt: 18 - Sayı: 4

An Investigation on the Impact of Income Distribution on Environmental Pollution

Türkiye’de Gelir Dağılımının Çevre Kirliliği Üzerindeki Etkileri Üzerine Bir İnceleme

Pages
1477–1488
Publication Date
2019-10-18
DOI
—
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AI Summary & Key Takeaways

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

In addition, it is concluded that increasing income inequality deteriorates the environmental quality in the short-run while inequality reduces the environmental pollution in the long-run.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper aims to examine the impact of income distribution on environmental pollution for the period of 1990-2015 in Turkey.
📊
Key Findings & Data:The results reveal that increasing income level and energy intensity increases environmental pollution both for the short and the long-run.
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Conclusion & Impact:In addition, it is concluded that increasing income inequality deteriorates the environmental quality in the short-run while inequality reduces the environmental pollution in the long-run.
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:Gelir dağılımı · Çevre kirliliği · Ekonomik büyüme

Abstract

This paper aims to examine the impact of income distribution on environmental pollution for the period of 1990-2015 in Turkey. For this purpose, the relationship between real income, energy intensity, income inequality and carbon dioxide emissions are investigated with ARDL bound test and bootstrap causality method. In addition, three empirical model are constructed to observe the relative effects of the value added of industry sector, manufacturing sector and service sector on environmental pollution. The results reveal that increasing income level and energy intensity increases environmental pollution both for the short and the long-run. In addition, it is concluded that increasing income inequality deteriorates the environmental quality in the short-run while inequality reduces the environmental pollution in the long-run. Moreover, increasing industrial value-added increases carbon dioxide emissions while increasing the value added of service sector reduces the pollution.

Özet

Bu çalışmada Türkiye’de gelir dağılımının çevre kirliliği üzerindeki etkilerinin 1990-2015 gözlem aralığı için incelenmesi amaçlanmaktadır. Bu amaç doğrultusunda, reel milli gelir, enerji yoğunluğu, gelir eşitsizliği ve karbondioksit emisyonu arasındaki ilişki ARDL sınır testi ve bootstrap nedensellik testi aracılığıyla incelenmiştir. Ayrıca, sırasıyla sanayi sektörü, imalat sektörü ve hizmet sektörü katma değerlerinin çevre kirliliği üzerindeki etkilerini karşılaştırmak amacıyla da üç farklı ampirik model oluşturulmuştur. Elde edilen sonuçlara göre milli gelirdeki ve enerji yoğunluğundaki artışın hem kısa dönemde hem de uzun dönemde çevre kirliliğini arttırdığı görülmektedir. Gelir eşitsizliğindeki artışın ise kısa dönemde çevresel kaliteyi bozmasına rağmen uzun dönemde çevre kirliliğini azalttığı bulgularına ulaşılmıştır. Ayrıca, sanayi sektörü katma değerindeki artışın çevre kirliliğini arttırdığı buna karşın hizmet sektörü katma değerindeki artışın çevre kirliliğini azalttığı yönünde bulgulara ulaşılmıştır.

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Cite This Article

DESTEK, M. (2019). An Investigation on the Impact of Income Distribution on Environmental Pollution. Gaziantep Üniversitesi Sosyal Bilimler Dergisi, Cilt: 18 - Sayı: 4, 1477–1488. https://ajindex.com/articles/112440

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References (13)

  1. Baek, J., & Gweisah, G. (2013). Does income inequality harm the environment?: Empirical evidence from the United States. Energy Policy, 62, 1434-1437.
  2. BP (2018). British Petroleum Statistical Review of World Energy. Charfeddine, L., & Mrabet, Z. (2017). The impact of economic development and social-political factors on ecological footprint: A panel data analysis for 15 MENA countries. Renewable and Sustainable Energy Reviews, 76, 138-154.
  3. Clement, M., & Meunie, A. (2010). Is inequality harmful for the environment? An empirical analysis applied to developing and transition countries. Review of social economy, 68(4), 413-445.
  4. Grunewald, N., Harteisen, M., Lay, J., Minx, J., & Renner, S. (2012). The carbon footprint of Indian households. In 32nd General Conference of The International Association for Research in Income and Wealth (pp. 5-11).
  5. Grunewald, N., Klasen, S., Martínez-Zarzoso, I., & Muris, C. (2017). The trade-off between income inequality and carbon dioxide emissions. Ecological Economics, 142, 249-256.
  6. Guo, L. (2014). CO 2 emissions and regional income disparity: Evidence from China. The Singapore Economic Review, 59(01), 1450007. Hacker, S., & Hatemi-J, A. (2012). A bootstrap test for causality with endogenous lag length choice: theory and application in finance. Journal of Economic Studies, 39(2), 144-160.
  7. Hailemariam, A., Dzhumashev, R., & Shahbaz, M. (2019). Carbon emissions, income inequality and economic development. Empirical Economics, 1-21.
  8. Hao, Y., Chen, H., & Zhang, Q. (2016). Will income inequality affect environmental quality? Analysis based on China's provincial panel data. Ecological indicators, 67, 533-542.
  9. Jorgenson, A., Schor, J., & Huang, X. (2017). Income inequality and carbon emissions in the United States: a state-level analysis, 1997–2012. Ecological Economics, 134, 40-48.
  10. Kasuga, H., & Takaya, M. (2017). Does inequality affect environmental quality? Evidence from major Japanese cities. Journal of cleaner production, 142, 3689-3701.
  11. Liu, C., Jiang, Y., & Xie, R. (2019). Does income inequality facilitate carbon emission reduction in the US?. Journal of Cleaner Production, 217, 380-387.
  12. Pesaran, M. H., & Shin, Y. (1997). An autoregressive distributed-lag modelling approach to cointegration analysis. Econometric Society Monographs, 31, 371-413.
  13. Qu, B., & Zhang, Y. (2011). Effect of income distribution on the environmental Kuznets curve. Pacific Economic Review, 16(3), 349-370. Solt, (2019). Measuring Income Inequality Across Cou