Kirlilik Cenneti Hipotezi: BRICS’ten Düzleştirilmiş Kantil Kanıtlar

Year 2024, , 48 - 58, 31.03.2024

İbrahim Özmen , Selçuk Balı

https://doi.org/10.54821/uiecd.1434322

Cited By: 1

Abstract

Her şey gibi kirlilik de küreselleşmeyle birlikte taşınabilir. Sermayenin taşıdığı kirliliği ifade eden bu yaklaşım, kirlilik cenneti hipotezidir. Bu çalışma, 1992-2020 dönemi için BRICS ülkelerindeki doğrudan yabancı yatırımın (DYY) karbondioksit (Co2) emisyonları üzerindeki etkilerini araştırmaktadır. Çalışmamızda panel ekonometrisinde yeni olan araçsal değişkenli düzleştirilmiş kantil regresyon (SIV-QR) yöntemini kullandık. Kişi başına düşen gelirin, tüm tahmincilerde ve kantillerde karbon emisyonları üzerinde artırıcı bir etkiye sahip olduğunu bulduk. Ayrıca bulgularımız doğrudan yabancı yatırım akışlarının yüksek oranlarda Co2 üzerinde azaltıcı bir etkiye sahip olduğunu göstermektedir. Ancak eş zamanlı kantil regresyonun DYY grafiği tahminleri, bunun düşük kantil dilimlerde artan bir etkiye sahip olduğunu göstermektedir. Bu, düşük kantillerde kirlilik cenneti hipotezinin geçerli olduğu anlamına gelir. Bu bulgular, paranın rotası ile karbondioksit emisyonları arasındaki olası ilişkilerin ortaya çıkarılmasında yardımcı olabilir.

Keywords

Kirlilik Cenneti, Carbon Dioksit Emisyonları, Düzleştirilmiş Kantil Regresyon

Pollution Haven Hypothesis: Smooth Quantile Evidence from BRICS

Abstract

Pollution, like everything else, can be carried along with globalization. This approach, which refers to the pollution carried by the capital, is the pollution haven hypothesis. This study investigates the effects of foreign direct investment (FDI) on carbon dioxide (Co2) emissions in the BRICS countries from 1992 to 2020. We employed the instrumental variables smooth quantile regression (SIV-QR) method, which is novel in panel econometry. We found that per capita income has an increasing effect on carbon emissions in all estimators with all quantiles. In addition, our findings indicate that FDI flows have a decreasing effect on Co2 in high quantiles. However, the FDI plot estimates of the simultaneous quantile regression show that this has an increasing effect in low quantiles. This means that, at low quantiles, the pollution hypothesis is valid. This can help uncover possible relationships between the routes of money and carbon dioxide emissions.

Keywords

Pollution Haven, Carbon Dioxide Emission, Smooth Quantile Regression

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