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The global economy is growing very fast, and it is also facing environmental challenges. Due to increased economic activities, global warming is rising as a result of greenhouse gas emissions. Concepts like green finance and green investments are emerging to battle climate issues. The present study empirically examines the impact of green bonds on carbon dioxide (CO₂) emissions in developing countries, as these countries are producing 63% of CO₂ emissions around the globe.

To check this impact, pooled ordinary least squares (OLS), fixed effect and generalized method of moments (GMM) techniques are applied using the annual data of 65 developing countries from 2008 through 2021.

The results indicate that the overall effect of green bonds on CO₂ emissions is negative, as more issuance of green bonds reduces CO₂ emissions, confirming results from the existing empirical literature. The study found that more foreign direct investment (FDI) and urbanization lead to more CO₂ emissions, while increase in trade openness helps reduce CO₂ emissions. It was found that promoting green bonds will help to promote environmentally friendly projects that will help to reduce CO₂ emissions. Rapid urbanization has led to more energy demand for various industries like manufacturing, transportation and residential sectors, which leads to more CO₂ emissions.

The policymakers in these countries should make policies that help in reducing carbon emission by increasing green bonds and FDI in supporting projects that are environmentally friendly. Therefore, to mitigate such current and future issues, policymakers in developing countries need to give serious attention to this area to fulfill sustainable development goals.

This study presents a pioneering examination of green bonds and CO₂ emissions in 65 lower- and middle-income countries (developing countries). We have tried to cover all developing countries that are causing more greenhouse gas emissions and need to shift to green finance strategies. It will be a contribution to the body of knowledge regarding the role of green bonds in reducing CO₂ emissions. The present study will help in assessing the importance of green bonds in bringing low-carbon economies.

This paper aims to conduct an empirical investigation of how financial inclusion impacts women empowerment. Then, it examines the overall effect of various dimensions of financial inclusion on women empowerment in developing countries using the panel data for the time period of 2004–2019.

To overcome the problem of endogeneity, the study has used a fixed-effect model, two-stage least square GMM estimation techniques. Secondary data was collected from various websites such as WDI, UNICEF and UNESCO.

The results show that generally, the influence of financial inclusion on women empowerment is positive, confirming previous empirical literature results. The study found evidence that if there is more financial inclusion in the country, it will benefit women by enabling them to see their qualities and skills, which make them strong and dominant. Proper development and enhancement of those skills are only possible if proper education, awareness and space are given to express oneself. According to the results, financial development, gender parity index and women's employment positively affects women empowerment, while gender discrimination has a negative impact on women empowerment. The study highlights that to encourage women empowerment in developing countries. Governments and policymakers have to carefully check and reconsider that what are the most optimal financial inclusion programs that will help to improve the women empowerment in the country.

The study highlights that to encourage women empowerment in developing countries, governments and policymakers have to carefully check and reconsider what are the most optimal financial inclusion programs that will help to improve women empowerment in the country.

The literature does not clearly show the impact of financial inclusion dimensions on women empowerment in developing countries. Therefore, there is a need to use all the dimensions of financial inclusion to check the overall impact on women empowerment in developing countries. For this purpose, the financial inclusion index is developed. A new dimension of non-life insurance is introduced, which has not been used previously by any researcher to check financial inclusion impact.

This study aims to empirically examine the influence of financial constraints on firm carbon emissions. In addition to the role of financial constraints in firm-level carbon emissions, this study also examines this influence in the presence of governance, environmental orientation and firm-level attributes.

Using pooled ordinary least square, this study examines the impact of financial constraints on firm-level carbon emissions using a panel of 1,536 US firm-year observations from 2008 to 2019. This study also used two-step generalized method of moment–based dynamic panel data and two-stage least square approaches to address potential endogeneity. The results are robust to endogeneity and collinearity issues.

The results suggest that financial constraints enhance the carbon emissions of the firms. The economic significance of financial constraints on carbon emissions is more pronounced for the firms that do not report environment-related expenditure investment and those that are highly leveraged. The authors further document that firms with a nondiverse gender board signify a statistically significant impact of financial constraints on carbon emissions. These results are also economically significant, as one standard deviation increase in financial constraints is associated with a 3.340% increase in carbon emissions at the firm level.

Some implicit and explicit factors like corporate emissions policy and culture may condition the relationship of financial constraints with carbon emissions. Therefore, it would be worthwhile to consider these factors for future research. In addition, it is beneficial to identify the thresholds and/or quantiles at which financial constraints may significantly make a difference in enhancing carbon emissions.

The findings offer policy implications for investment in stakeholder engagement for capital acquisitions, thereby effectively enforcing environmental innovation and leading to a reduction in carbon emissions.

This study integrated governance and environment-oriented variables in the model to empirically examine the role of financial constraints on the carbon emissions of the firms in the USA over and above what has already been documented in the earlier literature.

The paper empirically investigates the impact of financial inclusion on food security. Subsequently, it examines the overall effect of various dimensions of financial inclusion on food security of developing countries using the panel data for the time period of 2004–2019.

To overcome the problem of endogeneity, the study has used a fixed-effect model, two-stage least-square and system generalized method of moments estimation techniques. Secondary data was collected from various websites such as WDI, FAO, UNICEF and UNESCO.

It was found in the study that there is a significant effect of financial inclusion on food security. The evidence shows that if there is more financial inclusion in the country, it will help poor people to cope with difficult situations they face and provide them food security. Financial development, per capita income, agriculture growth and education positively affect food security, while militarization and urbanization have a negative impact on food security. The crux of the analysis is that any country's financial sector is an integral part of any country that supports food security.

The literature does not clearly show the impact of financial inclusion dimensions on developing countries' food security. Therefore, there is a need to use all the dimensions of financial inclusion to check the overall impact on food security. For this purpose, the financial inclusion index is developed. A new dimension of non-life insurance is introduced that has not been used previously by any researcher to check financial inclusion impact.