Countries' participation in the global value chain is significant since it offers them economic benefits. However, the sustainability of life on Earth depends on figuring out how participation in the global value chain affects the environment. Therefore, examining the environmental effects of participation in the global value chain is crucial for the formation, development, or modification of policies concerning nations' participation in the global value chain. This study aims to examine the influence of variables such as participation in global value chains, technological eco-innovation, natural resource rents, GDP, and population growth on the degradation of the environment in the EU-14 nations. Indicators of environmental deterioration in the research included carbon emissions and ecological footprint. Data on population growth, economic development, carbon emissions, and natural resource rents were all taken from the World Bank database and utilized in the research. Data on ecological footprints, global value chain involvement, and technical eco-innovation were gathered from the Global Footprint Network, the UIBE GVC Laboratory, and the OECD database, respectively. The MMQR approach was used in the research to analyze yearly data for EU-14 nations spanning the years 2007-2021. KRLS and Driscoll-Kraay techniques were also used in the research to assess robustness. The findings indicate that participation in the global value chain across EU-14 nations leads to a decrease in carbon emissions and ecological footprint, resulting in enhanced environmental quality within these countries. Once again, research indicates that in EU-14 nations, technological eco-innovation lowers carbon emissions and ecological footprint. At all quantile levels, it is also discovered that natural resource rents raise carbon emissions and ecological footprint. Additionally, it was discovered that the outcomes of the robustness test agreed with the conclusions drawn. According to the study's findings, the EU-14 countries should give priority to eco-friendly value chain management techniques in order to maintain environmental quality.

The prime objective of this study is to examine the heterogenous impacts of money supply, commodity prices, and trade balance on the greener energy growth in BRICS economies. The BRICS economies are the leading trade block and have huge investments on greener energy projects. In doing so, we employ the data from January 2010 to May 2021 and employed panel fixed regression methods. The findings mention that change in inflation, export, import, industrial production, foreign direct investment (FDI), price of commodities, and money supply significantly affect greener energy growth. Notably, we observe that foreign investments, commodity prices, and money supply are the key factors for greener growth in BRICS economies. Overall, the study concludes interesting conclusions and implications in context of sustainability.

In the last few decades, the world has faced some natural issues, due to which economic growth faces a severe threat. Natural disasters like pandemic outbreaks and man-made disasters like pollution emissions are very frequent in the current times, which also influenced the economic growth, where the institutes could play a primary role in economic growth stimulation. This study aims to analyze the association of public health expenditures, institutional quality, renewable energy, and economic performance in China. This study uses quarterly data covering the period from 1996Q1 to 2020Q4 and employs various time-series estimating approaches. The Augmented Dickey-Fuller estimates asserted that all the variables are stationary at first difference. Also, the Bayer-Hanck combined cointegration validates that all the variables are cointegrated. Employing the three long-run estimators, i.e., Fully Modified Ordinary Least Square, Dynamic Ordinary Least Square, and canonical cointegrating regression, the results asserted public health expenditures and institutional quality (including government efficiency and political stability) significantly enhances economic performance in China. Whereas two indicators of corruption control and regulatory quality do not play any significant role in promoting the economic performance of China. On the contrary, renewable energy is found negatively associated with economic performance. Also, the Pair-wise Granger causality validates mixed causal associations between the study variables. As a developing and fossil energy-dependent economy, this study provides relevant policy implications for maintaining economic growth and rebalancing economic performance in China.