Immiserizing Growth: A Panel Data Approach for Selected Countries

Abstract

In the study, using panel data analysis, the relationship between GDP and global iron, global cotton, global oil, and global copper prices were analyzed under the impoverishing growth hypothesis. The countries analyzed in this study are developing countries such as China, Chile, Czechia, Greece, Hungary, India, South Korea, Malaysia, Pakistan, Peru, Philippines, Poland, Thailand, and Turkey. The data covers the period 2003-2018. The analysis results show that the increase in global cotton and oil prices decreases the GDP of these countries, and the increase in global iron and copper prices increases the GDPs of these countries. Therefore, policymakers should support investment in renewable energy, domestic agriculture, and mining sectors.

Keywords

• Immiserizing growth hypothesis
• GDP
• Panel data analysis

Yoksullaştıran Büyüme: Seçilmiş Ülkeler İçin Bir Panel Veri Yaklaşımı

Abstract

Çalışmada, panel veri analizi kullanılarak, yoksullaştıran büyüme hipotezi kapsamında GSYİH ile küresel demir, küresel pamuk, küresel petrol ve küresel bakır fiyatları arasındaki ilişki analiz edilmiştir. Bu çalışmada analizi yapılan ülkeler Çin, Şili, Çekya, Yunanistan, Macaristan, Hindistan, Güney Kore, Malezya, Pakistan, Peru, Filipinler, Polonya, Tayland ve Türkiye gibi gelişmekte olan ülkelerdir. Veriler 2003-2018 dönemini kapsamaktadır. Analiz sonuçları küresel pamuk ve petrol fiyatlarındaki artışın bu ülkelerin GSYİH’lerini düşürdüğünü, küresel demir ve bakır fiyatlarındaki artışın bu ülkelerin GSYİH’lerini artırdığını göstermektedir. Bu nedenle politika yapıcılar yenilenebilir enerji, yerli tarım ve madencilik sektörlerine yatırımı desteklemelidirler.

Keywords

• Yoksullaştıran büyüme hipotezi
• GSYİH
• Panel data analizi

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