Search

The study aims to explore the asymmetric impact of financial globalisation on renewable CO2 emissions for selected Asian economies for a time span from 1990 to 2019. A sample of 35 economies is selected on the basis of the availability of data. To get the estimates of the variables, the analysis has applied FMOLS and DOLS estimation methods. The linear estimate of financial globalisation in the FMOLS model is negative and significant but positive and insignificant in the DOLS model. The estimates attached to positive financial globalisation are negatively significant in both FMOLS and DOLS models, implying that an increase in financial globalisation causes the environmental quality to improve. Similarly, the estimates attached to negative financial globalisation in both FMOLS and DOLS are negative and suggest that a fall in financial globalisation causes the environmental quality to deteriorate. The magnitudes of positive and negative changes are different; hence, they have a significantly different impact on environmental quality. The robust results clearly indicate that the effects of financial globalisation on CO2 emissions are asymmetric. Therefore, the policymakers should focus on positive as well as negative changes in financial globalisation while considering the impact of financial globalisation on CO2 emissions in Asian regions. [ABSTRACT FROM AUTHOR]

Logistics performance is considered an important determinant of supply chain performance that results in carbon neutrality. The main aim of this study is to investigate the influence of logistics performance and green innovation on carbon emissions for selected Asian economies over the period 2007–2020. The 2SLS approach has been employed for empirical tasks, and the robustness of results has been confirmed through the GMM approach. The results indicate that logistics performance significantly reduces carbon emissions. Besides the logistics performance index, five other indicators of logistics performance have been used in the analysis. These indicators include quality of logistics services, tracking and tracing capability, logistics infrastructure quality, cargo transportation timelines, and customs clearance efficiency. All these indicators are negatively correlated with carbon emissions. The results further indicate that green innovation leads to a significant reduction in carbon emissions. Thus, our results emphasize the priorities of green innovation, logistics performance, and environmental sustainability in Asian economies. [ABSTRACT FROM AUTHOR]

In recent times, financial development and industrial progression accrue energy demand. Therefore, the present research is investigating the nexuses of energy consumption-financial development indicators for 32 Asian economies including the FDI, economic growth, and urban sprawl. The long-run marginal impacts and causal linkage are estimated through the dynamic seemingly unrelated regression and the heterogeneous causality respectively. The estimates infer that financial development indicators are deteriorating the energy consumption in the Asian region, while both FDI and urban sprawl accrue energy consumption. However, economy-wise estimates infer the heterogeneous impacts on energy consumption. Heterogenous causality infers a bidirectional causality among the financial development indicators and energy consumption. There is a need to devise the energy policies related to the financial sector for sustainable usage energy and a clean environment. [ABSTRACT FROM AUTHOR]

Additional energy demand is needed to accomplish the mega-projects of the Belt & Road Initiative (BRI). As energy consumption is one of the prime determinants of environmental degradation, the present study investigates the impact of energy inequalities on environmental degradation along with financial development. The entropy approach is applied to quantify the three energy consumption inequalities; average, between, and total energy consumption inequality respectively. The energy consumption inequality of BRI economies follows an uprising temporal trend. The estimates reveal that East Asia and South Asia have the highest and lowest energy consumption inequality among the BRI regions. Within regions, it is found that Central Asia has the lowest, and East Asia has the highest energy inequality among the BRI regions, respectively. Based on bootstrapping, the generalized least square (GLS) is applied to quantify the impact of energy consumption inequalities on environmental degradation along financial development. The energy inequalities have a statistically positive impact on environmental degradation in BRI regions, East Asia, Central Asia, the Middle East and North African region (MENA), and Southeast Asia respectively. In contrast, South Asian economies are sustaining environmental quality despite the energy consumption inequalities. Financial development also has a significantly major impact on environmental degradation in BRI, and its regions except for Central Asia, and MENA. [ABSTRACT FROM AUTHOR]

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China's nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO 2 emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO 2 emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.

The theme of paper is to explore the trade-environment relationship and the role of institutions for 117 countries from global standpoint and five regions: Sub Saharan, European, Middle East and North Africa, Asia and Pacific, and Latin America and Caribbean, using the panel data span 2002-2014. By considering the endogeneity problem, to validate the nature of trade-environment nexuses, we applied the GMM first difference model in two steps. Likewise, Dumitrescu-Hurlin panel causality analysis is employed to affirm the causal relationship among the concern variables. The empirical findings of this study validate that the overall trade is significantly good to environment for sample countries (117) of the entire World, Europe, Asia, and Pacific regions. In further assessment, we incorporate interactive terms of institutions with trade, scale effect, and scale-technique effect. The estimated results confirm that institution is the persistent instrument for resolving the environmental problems. Furthermore, we find the evidence of inverted u shape EKC in overall selected sample of the World, Sub-Saharan, Europe, Asia, and Pacific regions. In contrast, there is no confirmation of inverted u shape EKC hypothesis in Middle East and North Africa regions. Similarly, no strong evidence of inverted u-shaped EKC hypothesis is observed in Latin-America and Caribbean region.