4.7 Article

Revisiting the determinants of carbon emissions for Turkey: the role of construction sector

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 31, 页码 42325-42338

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-13722-y

关键词

Construction Sector; CO2 emissions; Environmental Kuznets Curve; Environmental pollution; ARDL bounds test; Turkey

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This study investigates the relationship among carbon dioxide emissions, real GDP, energy usage, trade, financial development, and construction sector activities in Turkey within the Environmental Kuznets Curve framework. The findings suggest that an increase in construction sector activities has a positive impact on CO2 emissions, while real GDP and energy usage increases lead to a statistically significant rise in carbon emissions. Trade openness contributes positively to carbon emissions, but financial development does not explain environmental pollution in the long term.
This study intends to consider the link among carbon dioxide (CO2) emissions, real GDP, energy usage, trade, financial development, and construction sector activities in Turkey within the Environmental Kuznets Curve (EKC) framework by employing an autoregressive distributed lag (ARDL) bounds test procedure. The analysis includes the period of 1970-2015 in keeping with available data. The findings of the study show that an increase in construction sector activities plays a positive role in CO2 emissions. The results also argue that CO2 emissions have risen statistically significantly with real GDP and energy usage increases. Furthermore, trade openness positively contributes to carbon emissions, while financial development does not explain environmental pollution in the long term. The study also reveals that the EKC hypothesis holds for Turkey both in the long term and short term. The long-run findings of the study are supported through robustness analysis by applying the dynamic ordinary least square (DOLS), the fully modified ordinary least square (FMOLS), and the canonical cointegrating regression (CCR) methods. The study suggests that the government should take action against environmental deterioration with efficient policies that save energy and reduce emissions regarding the construction and residential sectors' activities, such as providing financial support and tax cuts for relevant companies.

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