
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Investigating the Impact of Globalization on Environmental Degradation in Kazakhstan

As a consequence of globalization, the world’s economies are merging; nonetheless, concerns about how globalization trends may harm the environment locally and worldwide are growing. The globalization-environment nexus has now become a contentious issue among policymakers. As a result, several empirical research studies on the globalization-environment nexus have been conducted. In the context of the environmental Kuznets curve theory, this study explores the influence of globalization on environmental deterioration in Kazakhstan (EKC). Furthermore, energy is a control variable in this research. Unit roots and structural break are used to solve the issue of non-stationarity in time series. The autoregressive distributed lagged (ARDL) model is used in this research for long run relationships between variables as well as to estimate long run and short run coefficients. Income, energy, and globalization are discovered to have a long-term link. Furthermore, the findings revealed that long-term environmental deterioration was exacerbated by economic, political, and social globalization, since these factors were shown to have a positive impact on carbon emissions in Kazakhstan. Energy is to blame for environmental damage both in the short and long term. Furthermore, this research reveals that the EKC theory exists in Kazakhstan. On the basis of the findings, policy suggestions are made.
- Hunan Women'S University China (People's Republic of)
- UNIVERSITA DEGLI STUDI DI SIENA Italy
- Tashkent State University of Economics Uzbekistan
- UNIVERSITA' DEGLI STUDI DI SIENA Italy
- UNIVERSITA DEGLI STUDI DI SIENA Italy
Economics, FOS: Political science, environmental degradation, Macroeconomics, Social Sciences, Economic Impact of Environmental Policies and Resources, Context (archaeology), Engineering, Market economy, Kuznets curve, Rebound Effect on Energy Efficiency and Consumption, Political science, Development economics, time serie analysis, Energy, Geography, Ecology, Economics, Econometrics and Finance, income, Archaeology, Physical Sciences, Economics and Econometrics, Environmental Engineering, Economic system, FOS: Law, General Works, energy consumption, A, Life Cycle Assessment and Environmental Impact Analysis, Embedded system, Biology, Economic growth, Renewable Energy, Sustainability and the Environment, FOS: Environmental engineering, Harm, Environmental degradation, FOS: Biological sciences, Environmental Science, Kuznets Curve, Nexus (standard), Globalization, Law, globalization
Economics, FOS: Political science, environmental degradation, Macroeconomics, Social Sciences, Economic Impact of Environmental Policies and Resources, Context (archaeology), Engineering, Market economy, Kuznets curve, Rebound Effect on Energy Efficiency and Consumption, Political science, Development economics, time serie analysis, Energy, Geography, Ecology, Economics, Econometrics and Finance, income, Archaeology, Physical Sciences, Economics and Econometrics, Environmental Engineering, Economic system, FOS: Law, General Works, energy consumption, A, Life Cycle Assessment and Environmental Impact Analysis, Embedded system, Biology, Economic growth, Renewable Energy, Sustainability and the Environment, FOS: Environmental engineering, Harm, Environmental degradation, FOS: Biological sciences, Environmental Science, Kuznets Curve, Nexus (standard), Globalization, Law, globalization
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
