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Sustainable development goals (SDG) incorporate multiple dimensions to measure the progress made by nations in consolidating their economic and human development. Consequently, the main objective of this study is to explore the structures of variation and covariation between the SDGs indicators interpreting and describing their current status by countries and regions of the world. This study assessed 40 SDG indicators reported by 125 countries in the 2021 Sustainable Development Report, using the HJ-Biplot multivariate technique, through which it is possible to analyze the existing relationships between indicators and countries in a multidimensional way. The results indicate that the global North countries currently display solid sustainability characteristics that favor economic growth, though more work is required to protect the environment and promote responsible production and consumption. On the other hand, the countries of the global South with less purchasing power must still work on policies and strategies to promote the health and well-being of their populations, enable access to essential household services (water, sanitation, electricity, and internet, among others), and promote equality. [ABSTRACT FROM AUTHOR]

In the recent years, the trend of environmental sustainability is rapidly increasing by adopting renewable energy resources. However, the main concern is that whether renewable energy consumption contributes to economic growth. To investigate the issue, this study analyzes renewable energy led economic growth hypothesis in the Next-11 economies over the period 1990–2020. Also, this study aims to examine the influence of industry value added, gross national expenditure, and trade openness on economic growth of these economies. Along with the second-generation panel unit root test, this study employed the non-parametric panel data approach, i.e., quantile method of moments regression. The estimated results reveal the slopes coefficients are heterogeneous and cross-sectional dependency is present in the panel. The non-parametric approach reveals that validity of renewable energy led growth hypothesis. Also, the industry value added, gross national expenditure, and trade openness are found positively affecting economic growth of these economies. The panel causality test gives indication of the two way causal association between the variables. Based on the obtained results, policy implications are also provided for governors and researchers. [ABSTRACT FROM AUTHOR]

The objective of this study was to identify the pattern of economic growth of China by identifying the factors that are contributing to sustainability and reducing inequality in the Chinese communities. The role of sustainable development goals has become critical for even the non- democratic country because inequality is also found in China which is rapidly increasing due to overpopulation and other factors. In this study, the questionnaire was developed on the Likert scale to collect the data from the economists to test the relationship between the hypotheses. The sample size for this study was 330 from the selected population of 800 people with a response rate of 45%. The study concludes that there is a critical role of sustainable development goals, sustainable economic policy, and labor productivity in the growth of China's economy. Further, this study also demonstrates that the Chinese government must focus on sustainability to reduce inequality in society. Significantly, this study provides a detailed insight into the relationship of factors that are contributing to China's economic growth that was not discussed earlier in the Chinese economic context. [ABSTRACT FROM AUTHOR]

Current research investigates the role of green investment, information, and communication technology development growth in the Chinese economy's carbon emissions from 1985-2015. This study has applied the quantile autoregressive distributed lagged (QARDL) approach and the Granger-causality in the quantiles to examine the causal linkage between the variables of interest. The findings through QARDL estimation confirm that there is an existence of significant reversion to the long-run equilibrium association between the explanatory variables and CO2. More specifically, the outcomes under long-run estimation confirm that GIN and ICT development plays a significant role in combating the issues like higher CO2 in China. At the same time, more economic growth leads to the destruction of the natural environment with higher carbon emissions. However, the square of economic growth shows some fruitful results towards fighting environmental pollution but not in all the quantiles of the study. Besides, the Granger-causality outcomes confirm the presence of a bi-directional association between green investment, ICT development, economic growth, and its square value. Based on the study findings, some policy implications are also provided. Besides, various limitations are also linked with this study. Firstly, the current study only examines the trends in CO2 emission from the context of China, whereas other regional economies are entirely neglected. Secondly, the factors like governmental influence in controlling carbon emission, environmental regulations, and governance mechanisms are entirely neglected in this research. Thirdly, the robust checking of the empirical findings is also missing in this study. Fourthly, economic uncertainty would also contribute to environmental pollution like CO2. Therefore, it is suggested that future studies should focus on these limitations to provide some meaningful suggestions and literature contributions. [ABSTRACT FROM AUTHOR]

Africa's pursuit of inclusive and sustainable economic growth is impeded by many challenges, including climate change, whose effect is most apparent in the continent's tropical regions. To this end, this study investigates the impact of climate change on achieving pro-poor economic growth in Africa. Predicated on poverty-inequality-climate analysis, the Augmented Mean Group (AMG) estimator is used to analyse data from 1996 to 2020 covering 51 African countries. The results reveal that climate change significantly impedes inclusive growth. Furthermore, evidence of a long-lasting negative effect of climate change on inclusive growth, which could be attributed to a lack of coping mechanisms among the poor and vulnerable groups, is found. Finally, the findings show a marginal impact of institutional quality and government spending on inclusive growth in the face of climate change. The study recommends more climate mitigation efforts and enhanced adaptation mechanisms, especially for the poor, as they are most vulnerable to the adverse effects of climate change. [ABSTRACT FROM AUTHOR]

Science symbolises education as an integral element in attaining environmental sustainability. Even after having elite-level human intelligence, this universe faces adverse effects of ecological deprivation. Therefore, this study specifically investigates the role of ecological innovation and economic growth on educational performance in BRICS nations. The present study selected the recent year's data of BRICS nations to explore the repercussions of ecological innovation and the countries' GDP income, and chooses the potential statistical technique name CS-ARDL method. In addition, this study uses other testing tools such as the CD test, unit root analysis tests, Westerlund and Edgerton test, and Bai and Silvestre-I-Carrion cointegration test to explore the role of these variables on educational performance. The estimated outcomes of the unit root test and CD test signify the structural breaks and heterogeneity in the data, but later Pesaran and Yamagata (2008) test resolved the relative issues. Therefore, long-run and short-run analyses of the CS-ARDL method identified the positive and significant affluence of ecological innovation (GIN) and economic growth (GDP) on educational performance (EDU). Thus, some dynamic policies are introduced in the below section to nourish the educational system of BRICS countries with the help of ecological innovation and economic progression. [ABSTRACT FROM AUTHOR]

In Africa, socio-economic inclusion is often predicated on the degree of access to finance that individuals have to consummate economic activities. This study is centered on this interlink with a focus on Nigeria and South Africa. From the 17 years of data (2004–2020) sourced from the Emissions Database for Global Atmospheric Research (EDGAR), International Monetary Fund (IMF) financial statistics, and the World Bank Development Indicator, the study attempted to empirically validate the existence or absence of a long-run significance of the variables used. Result confirmed that proximity to bank branches and access to credit by the private sector are vital ingredients of sustainable economic growth in both countries, while automated teller machine does not. Thus, this concluding evidence provides an avenue for expansionary policy drive for concerned authorities. [ABSTRACT FROM AUTHOR]

Green growth is deliberated as an effective way for attaining environmental sustainability, but the nexus between fiscal spending and green growth is ignored in highly polluted Asian economies. To fill this gap, this study attempts to investigate the impact of public sector education and research and development expenditures on green economic growth for selected Asian economies for the period 1991–2019. The study employed FMOLS and DOLS methods to assess the association between public expenditures on education and research and development sectors and green economic growth. The study found that education and research and development expenditures both contribute significantly to enhancing green economic growth in most of the selected Asian economies. The study proposed some important policy implications for fostering green economic growth and environmental sustainability by mitigation of pollution emissions. [ABSTRACT FROM AUTHOR]

The present study investigates the dynamic and asymmetric impacts of eco-innovation and human capital development on ambient pollution by validating the Environment Kuznets Curve (EKC) hypothesis in China from 1988Q1 to 2018Q4. The findings confirm non-normality and structural breaks in data. Thus, Quantile Autoregressive Distributive Lag (QARDL) model and Granger Causality-in-Quantiles are applied to address non-linearity and structural breaks. The long-run results exhibit that eco-innovation and human capital have a significant negative relationship with carbon emissions, mainly from lower (0.05) to medium (0.5) quantiles and medium (0.50) to higher (0.95) emissions quantile. Moreover, economic growth contributes to higher emissions across all quantiles. In contrast, the square of economic growth has a significant negative association with emissions, confirming the validity of EKC from medium (0.40) to higher (0.95) quantiles. Lastly, Granger causality confirms a two-way causality between eco-innovation, human capital, and carbon emissions, and a one-way causality from human capital, economic growth to carbon emissions. These findings offer valuable policy recommendations. [ABSTRACT FROM AUTHOR]

The influence of external debt on the environment is a rising issue in the rapidly developing climate crisis. This study analyzes the relationship between carbon dioxide emissions per capita, gross domestic product per capita and ecological footprint per capita by applying an autoregressive distributed lag model for the Republic of Turkey. According to the results of this study there is an inverted U relationship between carbon dioxide emissions and external debt. There is no inverted U relationship between ecological footprint per capita and external debt while there is bidirectional causal relationship between external debt and economic growth. In addition, the results reveal that economic growth has a significant impact on ecological footprint per capita in the long run. There is causal relationship from external debt to emissions. This study recommends that further analysis be done for other countries that have high foreign debt to investigate the relationship between external debt and emissions. Similar analysis may be carried out for the external debt and ecological footprint per capita nexus for future studies. [ABSTRACT FROM AUTHOR]

This study examines the short- and long-run of the causal correlation between economic growth (G.R.) and renewable electricity generation sources for a panel of 25 developing nations over the period 1990–2017. To do so, second-generation cross-sectional dependence (C.D.) test Im, K.S., Pesaran and Augmented Dickey-Fuller panel unit root test, panel cointegration, autoregressive distributed lag in view of the pooled mean group estimation and panel heterogeneous Dumitrescu Hurlin (2012) causality methods are utilised. The main findings indicate that the positive and significant impact of renewable electricity generation on G.R. shows that renewable electricity generation sources stimulate G.R. in the long run for these selected countries. It is also demonstrated that there is bidirectional causality between renewable electricity generation and G.R. both in the short run and long run. Based on our findings, the feedback hypothesis is valid for developing countries. [ABSTRACT FROM AUTHOR]

The Big Push for Sustainability centers investments that lead to decoupling, on the one hand, economic growth and job creation - necessary to raise living standards and reduce inequalities - and, on the other hand, greenhouse gas emissions. In sum, the Big Push for Sustainability can be defined as a set of complementary sustainable investments thatproduce avirtuous cycle of economic growth, job creation, development of production chains, and reduction of environmental impacts, while recovering the productive capacity of natural capital - all together and at the same time. Like the Big Push for Sustainability, these reports also propose Keynesian elements, such as green stimulus packages for sustainable investments, which can simultaneously boost the economy and protect the environment. [Extracted from the article]