The interaction between remittance, FDI, renewable energy, and environmental quality: a panel data analysis for the top remittance-receiving countries.

A country's financing system is essential in addressing sustainable development requirements. National sources and international financial flows contribute to economic growth and environmental quality in many ways, and their impact can be critical. This paper applied panel data analysis using a comparative approach of Pooled Mean Group Auto Regressive Distribute Lags (PMG-ARDL) and Cross Sectionally ARDL (CS-ARDL) to estimate the effects of FDI, renewable energy, and remittance on environmental quality in the top remittance-receiving countries, during 2000-2021. The study emphasized the positive relationship between FDI and carbon emissions. Moreover, renewable energy and remittances revealed an inverted U-shaped relationship with carbon emissions. In the case of developing countries from the panel, remittance improves environmental quality after reaching the threshold. Moreover, for some of the developing countries included in the panel, we found that they do not achieve the desired carbon mitigation effect in their early stages of renewable energy implementation. However, renewable energy becomes a key factor for tackling environmental pollution after a certain threshold. The mixed results determined diverse policy recommendations for various stakeholders.

Sustainable pathways for attaining net-zero emissions in European emerging countries - the nexus between renewable energy sources and ecological footprint.

This study aims to investigate the relationship between renewable energy and ecological footprint during the period of 1994-2018 from selected developing countries in Europe (Czechia, Croatia, Poland, Romania, Romania, and Turkey). In this context, the ecological footprint (EF), which has recently been the most widely used environmental indicator in the literature and is known as the most comprehensive because it includes many environmental factors, has been determined as the dependent variable. As independent variables, renewable energy consumption (REC), energy-related tax revenue (ETR), and energy productivity (EP) are included in the model. GDP and development of environment-related technologies (DET), which affect the ecological footprint in the model, are determined as control variables. As a result of the panel data analysis, according to the Durbin-Hausman cointegration test result, a long-term relationship between the variables was determined. According to the CCE estimator analysis, it can be said that there is a positive relationship between ETR and GDP variables and EF. For the AMG estimator analysis, it can be said that there is a positive relationship between GDP and EP variables and EF. Finally, according to the results of the Konya Causality test, a unidirectional causality relationship is detected from environmental technologies to the ecological footprint in Turkey, and a unidirectional causality relationship from the ecological footprint to GDP in Czechia, Romania, and Turkey. Furthermore, no causality relationship is detected between other variables. Based on the results, several policy implications are suggested.

Digital transformation: fresh insights to implement green supply chain management, eco-technological innovation, and collaborative capability in manufacturing sector of an emerging economy.

The increasing significance of green supply chain management in developing countries' manufacturing sector is primarily driven by the deteriorating environment, signified by decreasing raw material resources, a surplus of waste sites, and rising pollution levels. Green supply chain management can provide competitiveness while boosting a company's environmental sustainability if implemented effectively. Therefore, it is necessary to determine the effect of green supply chain management practices on the firm performance of the manufacturing sector. This research aims to determine the moderating effect of collaborative capability and the mediating influence of eco-technological innovation and environmental strategy on the relationship between green supply chain management and firm performance. Five hundred fifty survey questionnaires are gathered from manufacturing firms of China. Utilizing structural equation modeling (SEM), the proposed hypotheses have been analyzed and investigated. The results show that green supply chain management indirectly affects the firm performance. Moreover, green supply chain management is positively related to environmental strategy and eco-technological innovation, which effectively enhance firm performance. The findings further indicate that environmental strategy and eco-technological innovation significantly mediate the association between green supply chain management and firm performance. Furthermore, collaborative capability significantly and positively moderates the relationship between green supply chain management and firm performance. As a result, the adoption of these factors influences firm performance positively and will assist the manufacturing sector in meeting diverse yet radically changing requirements and overcoming obstacles originating from a dynamic global business environment. Consequently, it is of the utmost importance that businesses must utilize green practices with relatively low environmental impacts. Companies can considerably maintain and improve their firm performance by reducing the environmental impact if they have effective collaborative capabilities, eco-technological innovation, and environmental strategies.