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We study the determinants of India's carbon emissions. India is identified as the third in ranking of global carbon emissions. India's source of energy is mainly fossil fuels of which above average of the energy mix in the country is coal. Considering the position of India in the world emissions, it is paramount to examine the determinants of carbon emissions in the country. We adopt the relevant variables (such as economic growth, coal, agriculture, trade and innovation) and India's data of 1981 to 2019 for clear insight on the key drivers of carbon emissions in India. Our emphasis with regards to the conclusion and policy framing is on the findings from DOLS and granger causality. Findings from DOLS approach show that all the selected variables except the innovation are contributing toward environmental dilapidation through the increase in carbon emissions. Findings from granger causality affirm the findings from DOLS with nexus among the selected variables. This proves that, all explanatory variables are statistically significant determinants of environment and should be considered why framing policies to mitigate pollutions and enhance the environmental state and sustainability. [ABSTRACT FROM AUTHOR]

This study is intended to expose the connectedness of green financing and other green policies like renewable energy and technological progress towards identifying the best practice to achieve climate goal cum sustainable environmental development for China within the period 1985–2021. Amid the increased utilization of fossil fuels in China's economic activities and its position as the highest carbon emitting country in the world, China is considered a financial stable economy with access to renewable energy source such as hydroelectric power. For effective research into the objective of this study, the study builds on mechanism of the green finance—renewable—technology and emission nexus with the help of linear dynamics of ARDL bound and VECM granger causality methods. Empirical results from both approaches have given insight to the selected objectives of this study. According to ARDL dynamics: (i) the coefficients of linear (1.802) and non-linear(− 1.860) (i.e. square term) of financial development are positively and negatively connected to the carbon emissions. This confirms the presence of inverted U-shape relationship between the financial development and carbon emissions. (ii) the relationship between hydroelectric power representing renewable energy and CO2 is negative—(− 0.19) and significant at 1% level. This results depicts the reduction power of hydroelectric power on CO2, (iii) also, a negative (− 0.000982) linkage between number of patent application representing technological innovation and environmental development through carbon emissions responses is established. Also, findings from VECM granger causality approach back the findings from ARDL through a nexus between the variables of interest (finance, hydroelectric power, and technology and carbon emissions). Findings point to the ability of green financing to reduce carbon emissions if green financing policies are utilized effectively in regulating carbon emissions. [ABSTRACT FROM AUTHOR]

Algeria is one of the North African countries endowed with abundant natural resource mostly on oil and gas. Because of its richness in natural resource, most of its economic activities and development (including economic and environment) are dependent and determined by its natural resources. Due to Algeria's rising dependence on natural resource rents, the country's long-term development and environmental policy toward its sustainable development goals (SDGs) have been seriously questioned. For this reason, the objective of this study is to examine the Algeria's sustainable development goals amidst its heavy dependence on natural resources. We applied Algeria's data of 1980 to 2019 with a dual and novel scientific approaches (linear/dynamic ordinary least square—DOLS, and nonlinear autoregressive distributed lag—NARDL) for insightful analysis of this subject. A trio indicator of natural resources, technological innovation and financial development is utilized in this study for a direct overview of their impact on Algeria inclusive sustainable development goals. Findings from the two approaches showed that technological innovation, financial development and natural resources reduce carbon emission and increase economic growth, respectively. Hence, sustainable development goals are achievable for the case of Algeria if policy is framed around innovation, financial development and natural resource. With this, policy framing toward sustainable development goals should focus on increasing technological innovation through financial development which will transcend to improvement on both environment and economic situation of Algeria. Some financial policies such as subsidy from government in financing research projects, and lifting embargo on loan through reduction in interest rate and increase on financial literacy through sensitization on how to go about securing loans are to be considered when framing lasting policies targeting the Algeria's SDGs. [ABSTRACT FROM AUTHOR]

Even though China has mapped out different policies targeting the mitigation of its environmental degradation, the country still occupies the 1st position in the ranking of carbon emissions due to excessive utilization of non-renewable energy sources in its domestic economic activities. From a theoretical and empirical point of view, factors like economic growth, financial development, export diversification, technological innovation, and renewable energy can be considered to play a vital role in environmental quality. Therefore, this study exposes the environmental performance of China amidst export diversification, financial development, innovation, and clean energy use. Due to the non-availability of data, the annual data of China are converted to quarterly data from 1995Q1 to 2018Q4, and autoregressive distributed lag-(ARDL) and Granger causality approaches are adopted in this study for quantitative and insightful analysis. The findings from both approaches expose the environmental implications of the selected variables (renewable energy, financial development, technological innovation, and export diversification) to China's sustainable development. ARDL approach has confirmed the inverted U-shaped link between financial development and emissions of carbon for China, a negative link between renewables, technologies, and carbon emissions, and a direct association exists between the diversification of export, economic growth, and emissions of carbon. This pattern points toward mitigating environmental dilapidation with renewable energy, technology, and financial development. The Granger causality output lends support to the ARDL findings; hence, a policy initiative that will promote the renewable energy sector and technological innovation through financial programs is advised. [ABSTRACT FROM AUTHOR]

This study examines India's sustainable development with respect to economic and environment development. India is among the largest emerging countries with good economic development prospects. Nevertheless, its environmental development is poor coupled with its position as third in global carbon emission ranking. This peculiarity of Indian economy with increasing emissions has prompted the need for this research into the country's sustainability. Considering the leading role of government in curbing the environmental problems, this study aims to ascertain the India's sustainable development by investigating the role of institutional quality in mitigating its carbon emissions. India's data of 1996Q1 2018Q4 are utilized to investigate the country's sustainable development. Short-run and long-run autoregressive distribution lag (ARDL) dynamic and bound test for cointegration with Granger causality are adopted in this study for better insight on India's sustainable development. Findings from ARDL revealed positive impact of Institutions on environment quality through reduction in carbon emission; however, effect of foreign direct investment (FDI) and fossil fuels shows negative effect on India's environment through increase in carbon emissions. Findings from Granger causality exposed direction of impacts among the variables; hence, nexus is formed among the variables in determining the cause of carbon emissions and environmental damage. The findings from Granger causality give support to the findings from the ARDL analysis pointing towards the need to frame policies capable of mitigating carbon emission and enhances energy transition through institutions. [ABSTRACT FROM AUTHOR]

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]

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 study is premised on Indonesia's climate goal amidst good economic performance. To test the environmental implication of this macroeconomic performance of Indonesia, we adopt Indonesian quarterly data of 1990Q1–2018Q4 for empirical analysis. Relevant instruments in the economic performance of Indonesia such as urbanization, foreign direct investment (FDI), and renewable energy source are all adopted for accurate estimations and analysis of this topic. Different approaches (structural break test, autoregressive distributed lag (ARDL)-bounds testing and Granger causality) are all adopted in this study. Our analysis and policy recommendations are based on the short-run and long-run ARDL dynamics and Granger causality. Findings from ARDL confirmed negative relationship between carbon emission and renewable energy source, FDI, and urbanization. Also, a U-shape instead of inverted U-shaped EKC is found confirming the impeding implication of Indonesian economic growth to its environmental performance if not checkmate. From Granger causality analysis, all the variables are seen transmitting to urbanization in a one-way causal relationship. Also, FDI and renewable energy prove to be essential determinants of the country's environment development; hence, FDI is seen transmitting to both energy sources (fossil fuels and renewables) in a one-way causal relationship. Renewable energy is as well seen having two ways causal relationship with both carbon emission and fossil fuels. This result has equally exposed the significant position of the three instruments (urbanization, FDI, and renewable energy source) in Indonesian environment development. [ABSTRACT FROM AUTHOR]

The tourism industry is undoubtedly among the largest contributors to economic growth and employment generation in most economies of the world, and Africa is not an exception as outlined by World Tourism Organization (UNWTO). Thus, many countries in sub-Saharan Africa (SSA) are paying more attention to tourism development as alternative growth path to boost their economies. However, the tourism-induced growth is not void of its environmental issues. To this end, this study using recent econometrics analysis explored the nexus between tourism arrival GDP growth, urbanization, carbon dioxide emission, and foreign direct investment for oil and non-oil sub-Saharan Africa (SSA) countries, that is, to ascertain the real impacts of tourism and FDI on the environmental performance of the regions. Empirical results show that tourism, GDP growth, and FDI dampen the quality of the environment. For instance, a 1% increase in tourism activities worsens the quality of the environment by 1.09%. Interestingly, renewable energy shows statistical strength to improve environmental quality. The causality analysis resonates with the outcomes of the regression by giving credence to one-way causality between tourism and carbon dioxide emission. A similar trend of causality is seen between FDI and carbon dioxide emission and urbanization and carbon dioxide emission. Thus, as a policy prescription, strict environmental guidelines and regulations are necessary for controlling the unhealthy and undue economic activities that are suspected to impact environment negatively. [ABSTRACT FROM AUTHOR]

The economic structure of countries can influence economic growth, energy demand, and environmental footprints. However, the literature on economic complexity and ecological footprint (EFP) nexus is scarce. Besides, democracy is an important factor that may affect environmental policies and environmental sustainability. Hence, this paper investigates the effect of democracy, economic complexity, and renewable energy technology budgets on the EFP in G7 countries controlling income and financial development from 1985 to 2017. The findings from Westerlund (J Appl Econ 23:193–233, 2008) and other cointegration methods depict cointegration among variables. The long-run estimates from the continuously updated fully modified method unfold that economic complexity contributes to reducing the EFP. However, greater democratic accountability boosts the EFP figures rather than reducing them. On the flipside, renewable energy technology budgets and financial development are evidenced to mitigate EFP. Moreover, the study unveils a U-shaped linkage between economic growth and EFP, which indicates that an increase in income level will boost EFP. Further, the study found causality from economic complexity, democracy, and renewable energy budgets to EFP. Based on these findings, it is pertinent for the G7 countries to increase the manufacturing of sophisticated and complex products. In addition, enhancing renewable energy technology budgets is essential to ensure environmental well-being. [ABSTRACT FROM AUTHOR]

This current study seeks to investigate the policy implication of Turkey's recent energy policies on its sustainable development. This study uses Turkey's country-specific data and series of 1974 to 2018 for effective investigation and justification of the findings of this study with emphasis on both short-run and long-run implications. Three models were fitted to achieve study objectives to accommodate both environmental sustainability and economic impacts. Ecological footprint was considered better measure and used as proxy for the environment related model. In summary, with environment models, the selected series (per capita GDP, industrialization, agriculture, coal as a single energy use, and mixed energy use) except per capita GDP2 were found positively and significantly related to ecological footprint in both short run and long run which translates to poor performance of Turkey's environment. Also, using economic growth model, the selected series (industrialization, energy use, and agriculture) were all confirmed positively and significantly related to the economic growth (per capita GDP). Additionally, environmental Kuznets curve (EKC) was established for Turkey's environment and economic performance. Furthermore, using Granger causality as robust check to these findings, a nexus was found among the series confirming the validity of the cointegration (short- and long-run policies) estimations and results. In congruence with literature and hypotheses, the results from cointegration estimation shows that the twin polices may be good to the economic performance but will spark off adverse effect on environment. [ABSTRACT FROM AUTHOR]

In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies have considered consumption-based carbon emissions, even though a clear understanding of the impact of consumption patterns is essential for redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL technique for Chilefrom 1990 to 2018. To the best understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the data series' stationary level. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. According to the results, there is no symmetric cointegration among the variables; however, the empirical estimates reveal a long-run asymmetric connection between the indicators and CCO2 emissions. The novel results from the asymmetric ARDL indicate that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth makes a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of Chile's environment, inferring that the country can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found that technological innovation is ineffective in reducing consumption-based carbon emissions, which implies that Chile's technological innovation is not directed towards manufacturing green technology. Finally, the policy implications are discussed with respect to reducing consumption-based carbon emissions. [ABSTRACT FROM AUTHOR]

Chile is currently rated among the performing countries towards the achievement of the global goals of reducing carbon emission. It is on recorded that Chile as a country has moved from highly insufficient to insufficient and still working towards conforming to recommend the region of 2°C in quest of controlling climate change through carbon emission reduction. From this development, it is essential to investigate on the country's strategies in achieving this success and equally make recommendation for other countries to adopt Chile's strategy as a blue print in controlling carbon emission. To effectively do this and achieve the objective of this study, I adopt nonlinear and asymmetric approaches to have a combined (positive and negative) view of the reactions of the selected variable towards determining the impact of each variable towards curbing emission in Chile. Also, a careful selection of variable which includes economic growth (GDP per capita-Y), institutional quality, foreign direct investment (FDI), fossil fuels, and renewable energy consumption was undertaken in this study. The focus was on the interaction of institutional quality and FDI towards ascertainment of environment performance. Chile's quarterly data of 1996Q1 to 2018Q4 was utilized, and the following findings were made: positive and negative shocks to the economic growth, institutional quality, and renewable energy impacted favorably and negatively on Chile's environment through reduction and promotion of emission, respectively. In contrast, positive and negative shocks to FDI and fossil fuels impact both negatively on the Chile's environment through increase in carbon emission. So institutional quality is vital in controlling the negative impact from FDI and fossil fuels. [ABSTRACT FROM AUTHOR]

Carbon neutral is among the possible ways of solving the problem of climate change. Many scholars have utilized different single indicators such as CO2 and methane with different variables to mitigate the possible ways of solving the problem of global warming. The present study employs a specific country (UAE) approach to investigate the possible way of solving climate change. The author utilized 1980–2018 annual data of the UAE to investigate the possibility of carbon neutral in the UAE as to suggest ways of limiting climate change. Both linear and non-linear (squared) foreign direct investment (FDI) and GDP per capita were added to the study and considered as the variables of interest and other control variables (energy use and population). Among the findings of this study are inverted U-shaped relationship between economic growth (GDP per capita) and ecological footprint which confirms EKC for the UAE, positive relationship between energy use and ecological footprint, negative relationship between FDI and ecological footprint in all stages which established a flat pattern of relationship, and a positive relationship between the population and ecological footprint. Findings from causal analyses exposed a two-way direction or feedback (bidirectional) between economic growth (GDP) and urban population, and between energy use and urban population both in the short and long run. Also, a one-way transmission (unidirectional) is found transmitting from ecological footprint and FDI to population both in the short run and long run; from the ecological footprint, energy use, and FDI to economic growth; from the ecological footprint and FDI to energy use in the long run; and from ecological footprint to FDI and energy use in the short run. The policy focus should be towards the improvement on the urban population. FDI pattern suggests the pollution halo hypothesis which is a pointer towards its (FDI) crucial contribution to environmental performance. Hence, FDI should be encouraged through relaxing of some laws that are preventive in nature towards FDI so as to maintain this positive trend towards sustainable development. [ABSTRACT FROM AUTHOR]