Addressing the Nexus between Economic Growth and Environmental Pollution in a Small Petroleum-Exporting Transition Economy

Sadik‐Zada, Elkhan Richard; Gatto, Andrea; Mammadli, Mubariz

doi:10.4324/9781003336563-10

Economic Growth and Environmental Quality in a Post-Pandemic World 2023

DOI: 10.4324/9781003336563-10

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Addressing the Nexus between Economic Growth and Environmental Pollution in a Small Petroleum-Exporting Transition Economy

Elkhan Richard Sadik‐Zada¹,

Andrea Gatto²,

Mubariz Mammadli³

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Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

Ullah,

Gatto,

Radulescu

et al. 2024

Geological Journal

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This study evaluates the factors contributing to carbon emissions in China between 2002 and 2021, considering the impact of GDP growth, shocks in oil prices, trade liberalization and energy use. Using the dynamic simulated ARDL (SARDL) model, we indicate a long‐term link between trade liberalization, oil prices (WTI) shocks, GDP growth, energy use and CO2. The novel SARDL revealed a direct relationship between trade liberalization and CO2 in China in the long term. However, the results show a negative impact of WTI shocks on CO2 emissions. The study suggests that renewable energy (RE) significantly and negatively affects China's CO2 emissions. In addition, the findings conclude that, in the case of China, GDP has an insignificant long‐run relationship with CO2 emissions. The outcomes provide valuable insights for policymakers, researchers and industry stakeholders to enhance RE and promote sustainable energy practices.

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Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

Ullah,

Gatto,

Radulescu

et al. 2024

Geological Journal

View full text Add to dashboard Cite

show abstract

The green GDP accounting system based on the BP neural network: an environmental pollution perspective

Zhu,

Xu,

Luo

2023

Front. Environ. Sci.

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Introduction: The green GDP accounting system has become the focus of sustainable development, but a comprehensive accounting of environmental pollution cost and resource depletion cost has not yet been formed.Methods: This study measures environmental pollution cost and resource loss cost, and establishes the green GDP accounting system based on the SEEA-2012. To analyze the environmental effects brought by the adoption of green GDP accounting system, a BP neural network model including green GDP, traditional GDP and global climate indicators is constructed to predict the global climate changes.Results: The empirical results show that after the adoption of the green GDP accounting system, the global climate extreme weather can be reduced, the sea level will be lowered, and the climate problem is thus alleviated.

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Addressing the Nexus between Economic Growth and Environmental Pollution in a Small Petroleum-Exporting Transition Economy

Cited by 2 publications

References 0 publications

Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

Analysing Oil Prices Fluctuations, Carbon Emissions and Renewable Energy Trends in Uncovering the Eco‐Economic Interplay in China's Trade Liberalization

The green GDP accounting system based on the BP neural network: an environmental pollution perspective

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