Growth vs. green: unpacking the economic–environmental dilemma in major carbon emitters with panel ARDL analysis DOI Creative Commons

Shikha Daga,

Kiran Yadav,

Vijay Lakshmi

и другие.

Discover Environment, Год журнала: 2024, Номер 2(1)

Опубликована: Дек. 9, 2024

Today's world is facing a criticalglobal challenge of rising temperatures and disrupted ecosystems, primarily driven by increased carbon emissions. The study aims to determine the major factors leading emissions in five carbon-emitting countries: China, United States, India, Russia, Japan. Specifically, it explores interplay between economic growth, natural resource rent (Natural Resource Rent: benefit country gains from its resources, such as oil or minerals, after subtracting cost extracting using them), technological change, renewable energy use, postulates that growth extraction bear substantial interaction contributes At same time, change usage could probably become imperative alleviate This research, therefore, provides good insight into determinants CO2 these key economies probable pathways toward emission reduction through innovation harnessing sources energy. Utilizing comprehensive dataset 1990 2021 employing ARDL [Panel (Autoregressive Distributed Lag): A statistical method used analyze how different affect each other over time includes multiple subjects (e.g., countries)] model on panel data, this examines both short- long-term effects variables emissions, considering cross-country heterogeneity. results underscore significance related guidelines for sustainable development practices necessity lead shift towards sustainability. By identifying can mitigate enhance resilience, research useful inputs policymakers who intend promote along with upgrades. study's contribute existing literature making significant future policy formulation academic field mitigating climate change.

Язык: Английский

Macroeconomic Determinants of Circular Economy Investments: An ECM Approach DOI Open Access
Branimir Kalaš, Boris Radovanov, Nada Milenković

и другие.

Sustainability, Год журнала: 2024, Номер 16(15), С. 6666 - 6666

Опубликована: Авг. 4, 2024

The study aims to identify which main macroeconomic determinants affect investment in a circular economy. purpose of the economy is determine how such as real GDP per capita, government expenditure, unemployment, inflation, tax revenue, and interest rate an European Union for period 2004–2022. Using error correction model, empirical findings confirmed that revenue have positive effects on short run long run. Conversely, unemployment negatively both term term. contribution paper providing valuable insights into driving economy, may help with developing sustainable business policies practices Union.

Язык: Английский

Процитировано

0

Establishment of Environmental Courts and Corporate Green Innovation DOI

Xiping Zhang,

Aimin Fu,

Guang Hu

и другие.

Finance research letters, Год журнала: 2024, Номер unknown, С. 106192 - 106192

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

0

Growth vs. green: unpacking the economic–environmental dilemma in major carbon emitters with panel ARDL analysis DOI Creative Commons

Shikha Daga,

Kiran Yadav,

Vijay Lakshmi

и другие.

Discover Environment, Год журнала: 2024, Номер 2(1)

Опубликована: Дек. 9, 2024

Today's world is facing a criticalglobal challenge of rising temperatures and disrupted ecosystems, primarily driven by increased carbon emissions. The study aims to determine the major factors leading emissions in five carbon-emitting countries: China, United States, India, Russia, Japan. Specifically, it explores interplay between economic growth, natural resource rent (Natural Resource Rent: benefit country gains from its resources, such as oil or minerals, after subtracting cost extracting using them), technological change, renewable energy use, postulates that growth extraction bear substantial interaction contributes At same time, change usage could probably become imperative alleviate This research, therefore, provides good insight into determinants CO2 these key economies probable pathways toward emission reduction through innovation harnessing sources energy. Utilizing comprehensive dataset 1990 2021 employing ARDL [Panel (Autoregressive Distributed Lag): A statistical method used analyze how different affect each other over time includes multiple subjects (e.g., countries)] model on panel data, this examines both short- long-term effects variables emissions, considering cross-country heterogeneity. results underscore significance related guidelines for sustainable development practices necessity lead shift towards sustainability. By identifying can mitigate enhance resilience, research useful inputs policymakers who intend promote along with upgrades. study's contribute existing literature making significant future policy formulation academic field mitigating climate change.

Язык: Английский

Процитировано

0