Empirical Analysis Of Environmental Kuznets Curve Hypothesis: The Example Of Turkish Economy

This study explores the impact of natural resource exploitation, trade openness, and economic growth on carbon emissions in a sample of oil‐exporting nations for the period 1971–2014. To examine this relationship, we used the panel autoregressive distributed lag model and a set of econometric techniques accounting for cross‐sectional dependence. Our results indicate that the exploitation of natural resources and trade openness have a long‐term negative impact on environmental quality. Furthermore, our analysis confirms the validity of the Kuznets Environmental Curve for oil‐exporting countries. An assessment of causality reveals a bidirectional link between natural resources, economic growth, and CO2 emissions, as well as a unidirectional link between trade openness and CO2 emissions. In the light of our findings, appropriate policies could include the imposition of more stringent regulations on the exploitation of natural resources, the application of taxes on carbon emissions, and the promotion of clean and renewable technologies. Greater international cooperation is also needed to address these environmental issues on a global scale.

Section: Review Of the Literaturementioning

confidence: 99%

Impact of natural resources, trade openness, and economic growth on CO₂ emissions in oil‐exporting countries: A panel autoregressive distributed lag analysis

Ghazouani

Maktouf

2023

“…The authors have surveyed the interaction degree between GDP and carbon emissions. Indeed, Kuznets (1955) hypnotized the inverted U-shaped assumption (Çetin & Saygin, 2019). The existing literature reported in Table 1 examines the bond between CO 2 -GDP growth for the EKC assumption.…”

Section: Literature Reviewmentioning

confidence: 99%

How renewable energy and service growth influence environmental quality: Evidence from a sustainable development perspective

Chaouali

Jebli

Strielkowski

2023

The present study inspects the relationships between the carbon dioxide (CO2) emissions, real GDP, renewable and non‐renewable energy consumption, as well as the service growth for top ten countries (TTC) in service activities. The empirical modeling used in the study involves the procedures of cointegration and tests of Granger causality to inspect the dynamic interaction between the variables during the period from 1980 to 2018. The results of the present study suggest that the variables are cross‐sectionally dependent. In addition, the variables appear to be cointegrated based on several tests. The long‐run outcomes revealed an inversed U‐shaped form between emissions‐GDP proving the validity of the environmental Kuznets curve assumption. The fully modified ordinary least squares and dynamic OLS estimates show that the non‐renewable energy and economic growth contribute to the increase of CO2 emissions, while service value‐added leads to decrease emissions. Furthermore, the renewable energy coefficient comes through as negative but insignificant for the selected panel. The TTC in service should stimulate the usage of renewable energy in various service events for following the path of sustainable development. Devising the investment plans associated with the use of renewable energies is quite essential for the advancement of the service sector leading to mitigating emissions portion.

“…The environment theory can be defined as an inverted U‐shaped EKC. Many researchers used this approach for different areas with different variables to check the efficacy of growth and the environment (Çetin & Saygin, 2019; Demir et al, 2022). Rahman et al (2015) found a negative linkage among nonrenewable energy consumption and income growth.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous effects of urbanization and environment Kuznets curve hypothesis in Africa

Hussain

Yang

2023

This work explores the heterogeneous effect of urbanization and nonrenewable energy consumption on the environment in 54 African nations. Panel data were used from 1996 to 2019. For estimation, panel quantile regression analysis, augmented mean group, panel threshold regression, and the environment Kuznets curve hypothesis were applied to check the relationship between income and carbon emissions. The study's outcome demonstrates that urbanization and nonrenewable energy consumption degrade the environment in Africa. Furthermore, an inverted U‐shape relationship exists between economic growth and CO2 emissions, confirming the environmental Kuznets curve hypothesis. The findings indicate that urbanization should be planned; otherwise, urbanization can cause environmental degradation. African countries must adopt green urbanization and use renewable energy and clean manufacturing technologies. The institutions are encouraged to execute the standard, regulatory environment, and policies to reduce carbon emissions. Countries throughout the African continent should actively respond to the issues by charting a separate and diverse route for urban development.