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India has remarkably achieved some level of decline in infant mortality rate and increase in aged person through increase in life expectancy due to improvement on its health care sector but still remain amongst the countries with the highest rate of infant mortality within the Asian countries. Literature on environmental implication remains scarce, and for this we utilised India's data from 1975 to 2020 to research on this topic. Relevant scientific methods (residual Augmented Least Squares — RALS, Engle and Granger — EG, and its newly augmented version — RALS-EG) are adopted in this study. Further, to estimate the long-run elasticities of the regressors, the symmetric analyses, i.e., dynamic ordinary least squares (DOLS) and Engle and Granger causality test techniques, are employed. Findings according to DOLS revealed that renewable energy sources and social (GDP per capita) and public subsidies (general government final consumption expenditure) have lessening effect on infant mortality in India, whilst the private subsidies (gross capital formation), fossil fuels, and carbon dioxide cause an increase in infant mortality in India. This exposes renewable energy source as a mitigating factor in Indian environmental degradation which as well lessen the infant mortality level in India; hence, policy is suggested to be framed on improving renewable energy and health sectors. The graphical presentation of the abstract is done with the diagram below. The graph shows the interactions amongst the selected variables in this study. The impacts of the explanatory variables on the dependent variable are shown with different colours showing positive (green) and negative (red) impacts. [ABSTRACT FROM AUTHOR]

The transition to renewable energy sources has been identified as crucial to combating climate change on a global scale. India's future energy vision is becoming increasingly focused on renewable markets, particularly solar and wind power, which would improve energy efficiency and allow the country to shift from a coal-based economy to a renewable-based economy by 2030. In this context, the present study intends to investigate the impact of India's considerable investments in solar and wind power plants on mitigating environmental degradation by reducing reliance on coal-fired power. To this end, this study adopts the Fourier Autoregressive Distributive Lag (ADL) cointegration test and Fully Modified Ordinary Least Square (FMOLS) to assess the relationship between coal consumption, solar power, wind power, and ecological footprint in India using data from 1995 to 2018. The empirical results show that solar and wind power are significant and negatively related to ecological footprint, indicating that they lessen the environmental degradation. However, coal consumption is significant and positively related to ecological footprint. The study findings confirm the constructive role of solar and wind power in mitigating environmental degradation that is caused by the domination of coal-fired power generation in India, and solar and wind power are cleaner alternatives to replace coal-fired power. [ABSTRACT FROM AUTHOR]

This study is anchored on the global best practice policies for achieving sustainable goals for Malaysia. Malaysia is among the countries that made commitment at 2015 United Nations Climate Change Conference to reduce its carbon emissions by 2030. This is expected to contribute to the country's sustainable development. Malaysian quarterly data of 1992Q1–2019Q4 with relevant policy-based instruments (renewable energy policy, technological innovations, financial development, and entrepreneur activities) are adopted in our study for explicit and clear insight on the subject. Different scientific and analytical methods are equally applied in this study, but the focus and emphasis are laid on the findings from linear (dynamic ordinary least square, DOLS) and non-linear autoregressive distributed lag (NARDL) and Granger causality. Findings from both NARDL and DOLS confirmed the positive shocks of renewable energy policy, technological innovations, financial development, and entrepreneur activities are mitigating carbon emissions. Also, inverted U shape of EKC hypothesis is found for Malaysia. Findings from Granger causality support the findings from both estimates by establishing both feedback and unidirectional causal nexus among the instruments. From the finding myms, policy-based instruments are mitigating carbon emissions in Malaysia; thus, it will be a very good idea to frame policies around these instruments. [ABSTRACT FROM AUTHOR]

We researched China's climate and sustainable development goal with relevant and susceptible instruments capable of inducing and mitigating carbon emissions. Amidst the contributor to the global carbon emissions, China is caught in between mitigating its carbon emission and aiming towards placing its national contribution of emissions to the acceptable levels of 1.5 °C and below 2 °C. Following the intricacies surrounding China's sustainable development as it contains its economic and environmental performance, we adopt China's data of 1980 and 2018 with different scientific approaches (nonlinear autoregressive distributed lag (NARDL), dynamic ordinary least square test, and bootstrap Granger causality) with different instruments (such as economic growth, financial development, renewable energy, and innovation policies) to research China's sustainable development. For clear exposition and insight into our findings with policies attached, we draw a conclusion from the outcomes of the mentioned approaches. From NARDL and dynamic ordinary least squares (DOLS), we find that economic growth through economic activities is statistically significant in determining the trend (increase) of carbon emissions in China in both periods (short run and long run). However, other selected instruments (financial, renewable, and innovation policies) tend towards controlling and moderating the carbon emissions in China. Thus, China has good prospects to mitigate its carbon emissions if considered tailoring its policies towards favorable instruments. From bootstrap Granger causality, we find similar inferential results that support previous findings thereby confirming the positive implication of the selected instruments to China's sustainable development. Hence, the nexus that is established among the selected instruments clearly show the importance of technological innovation and renewable energy in mitigating carbon emissions. [ABSTRACT FROM AUTHOR]

This is dual analysis of Turkish sustainable development amidst some high industrial and economic activities. Turkey is currently prioritizing the economic growth to the environmental sustainability and trying to achieve its 2023 goals and place in top 10 economies by date. This action might spark increase in emission level and decrease the environmental quality for both term. For effective and clear analysis, we apply the empirical analyses with both symmetric (dynamic ordinary least square-DOLS) and asymmetric (nonlinear autoregressive distributed lag-NARDL) approaches in short run and the long run periods for policy inferences through forecast. We apply the economic features (entrepreneurs, FDI, technological innovation proxy by R&D, renewable energy and economic growth) of Turkey that are important in determining both economic and environment development of the country to investigate its ability to achieve its climate goals. Turkey's data of 1985–2018 were adopted. Findings from both approaches (symmetric and asymmetric) show that carbon emission can be reduced and good environmental quality obtained through the instruments of renewable energy, technological innovation, FDI and entrepreneurial activities. A nexus is established among the instruments (renewable energy, technological innovation, entrepreneur activities and FDI) pointing towards carbon mitigation for Turkey, and this gives support to the findings from both symmetric and asymmetric approaches. Also, from symmetric analysis with dynamic ordinary least square, EKC is found for the case of Turkey which shows the ability of Turkey achieving its climate goal if right policies are implemented. [ABSTRACT FROM AUTHOR]

We studied Malaysia's ability to achieve its climate goal amidst high rate of entrepreneurial activities and influx of people from rural to urban cities (urbanization) due to massive and prospective economic activities in the cities. For this, we investigate the impact of urbanization, entrepreneurial activities, and economic growth on its environmental performance. Renewable energy and financial development were also incorporated in the analyses to see if they have mitigating effect on the country's carbon emissions. Malaysian data of 1992Q1 to 2017Q4 were adopted for this study, and we also adopted both linear (dynamic ordinary least square-DOLS) and non-linear (nonlinear autoregressive distributed lag-NARDL) scientific and analytical approaches for better and clear insight from our study. Granger causality is equally applied as a robust check to the findings from DOLS and NARDL through direct inference from the selected variables. Findings from NARDL exposed significant impacts of the selected variables on the carbon emissions. Specifically, entrepreneurial activities, urbanization, financial development and renewables are mitigating carbon emissions, while economic growth is increasing emissions. Findings from DOLS and granger causality support the findings from the NARDL with more light on the trend of impact from economic growth to the Malaysia environment through inverted U-Shape EKC hypothesis. From granger causality nexus is established among the variable of interest in this study. From the findings, policy to mitigate carbon emissions can be framed with renewables, urbanization, entrepreneurial activities and financial activities. Authorities can initiate subsidising policies that will enable both private and public players to invest in energy sector strictly for the purpose of expanding renewable energy source. [ABSTRACT FROM AUTHOR]

Digitalization has emerged as a crucial factor in reducing pollution and holds significant potential for facilitating the transition to a low-carbon economy. Nevertheless, the environmental impact of digitalization hinges on the strategies for collaboration with various economic actors and, as a result, their engagement with digitalization. In light of this, the present study seeks to examine the externality effect of digitalization on green innovation, renewable energy, and financial development in relation to environmental sustainability. The analysis employs the System Generalized Method of Moments (SYS-GMM) for 36 OECD countries over the period of 2000–2018. The empirical findings indicate that digitalization, green innovation, renewable energy, and financial development substantially promote environmental sustainability. Moreover, the interaction between digitalization, green innovation, renewable energy utilization, and financial development enhances the ecological footprint-mitigating effect of digitalization. In view of these results, merging digitalization and environmental policies may yield more robust outcomes and improved environmental quality compared to implementing a single policy in isolation. • Countries make commitments to achieve environmental sustainability, and digitalization holds great promise in this regard. • This study investigates the potential environmental impact of digitalization in collaborating with diverse factors. • Digitalization significantly contributes to environmental sustainability in OECD countries. • Digitalization and its interaction with other factors exhibit ecological footprint-mitigating effects. [ABSTRACT FROM AUTHOR]