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This empirical work analyzes the impact of tourism arrivals, tourist receipts, tourist expenditure, active population, and population density on environmental quality. Unlike previous studies, this study employed a consumption-based indicator of environmental quality, which is the material footprint. Given the significance of major tourist destination countries, a sample of the top ten tourist destinations has been selected for the analysis over the period 1995–2018. The study applies econometric tools that consider the issues of cross-sectional dependence and heterogeneity. The findings of cointegration show a significant long-run relationship between the variables. Similarly, pooled mean group results indicate a positive impact of tourist arrivals, tourist expenditure, and active population on the material footprint, while a negative impact is observed in the case of tourist receipts and population density. The robustness of long-run results has been examined with the help of Panel corrected standard errors. Moreover, the Dumitrescu-Hurlin panel causality test shows unidirectional causality from tourist arrivals and tourist receipt to the material footprint and unidirectional causality from the material footprint to tourist expenditure in the long run. According to our results, some policy implications have also been highlighted. [ABSTRACT FROM AUTHOR]

This study intends to empirically evaluate the effects of economic globalization and its components (i.e. trade and financial openness) on unemployment in high‐, middle‐ and low‐income countries from 1991 to 2020. Further, it considers real GDP per capita (sectoral divisions of income, i.e. agriculture, industry and service sector) and urbanization as control variables in the unemployment function. On the empirical front, this study employs the Panel Dynamic Simulated ARDL model and the Kernel‐Based Regularized Least Squares for long‐run influence estimations. The emanating outcome of these analyses states that economic globalization destroys employment opportunities for low‐income countries as it enhances unemployment in the long run. However, in high‐ and middle‐income countries, economic globalization creates employment, which implies reducing unemployment in the long run. The result also indicates that trade and financial openness destroy employment opportunities in low‐income countries. Although trade openness in middle‐income countries shows the same effect, financial openness does not mimic the same. For high‐income countries, trade openness reduces unemployment, but financial openness fosters it. Therefore, these findings indicate that to keep unemployment at a low level, policies related to the opening up of the economy in terms of factor mobility, offshoring, outsourcing and international trade need to be implemented in low‐income countries. Moreover, a similar consideration is needed for high and middle‐income countries to avoid faraway repercussions on unemployment due to becoming a peripheral country. [ABSTRACT FROM AUTHOR]

This study aims to examine the impact of energy poverty on the aggregate and disaggregate material footprint components such as biomass, fossil fuel, metal ores and non-metallic minerals while considering the economic growth and tourism development during 2000–2014 for the BRICS countries (Brazil, Russia, India, China, and South Africa). By applying econometric tools, the study confirms a positive and significant impact of energy poverty on aggregate material footprint and its components. The same finding has been reached for tourism development. Moreover, this study finds a U-shaped Environmental Kuznets Curve (EKC) for all indicators used for material footprints. Based on the findings, this study proposes a set of policies for energy poverty alleviation to attain a sustainable environment and inclusive economic growth in the BRICS region. [ABSTRACT FROM AUTHOR]

Motivated by the necessity of attaining carbon neutrality and striking a balance between clean and conventional energy sources, the emphasis is on how urgent it is to combat climate change and make the switch to sustainable energy systems. In this context, the current study aims to examine the effects of energy diversification on green growth, considering such complementary factors as green technology, human capital, remittance inflows, foreign direct investment inflows, trade openness, and gross fixed capital formation. An empirical analysis is conducted by framing a green growth function in the panel data framework which is analyzed using the dynamic standard correlated model for the BRICS nations (Brazil, Russia, India, China, and South Africa) for the period between 1995 and 2020. The results show that (i) energy diversification exerts a dampening effect on the trajectory of green growth, (ii) the process of green growth was affected due to green technology and foreign direct investment inflows, (iii) underscores the pivotal role of human capital and gross fixed capital formation in bolstering the green growth trajectory, (iv) despite their potential relevance, remittance inflows and trade openness exhibit negligible impact within the framework of the green growth function, thus underscoring their limited contribution to the overarching sustainable development. The practical policy recommendations and invaluable insights provided by these empirical findings are instrumental in fostering green growth among the BRICS countries. Moreover, it contributes to the discourse on sustainable development by providing a solid foothold for informing the development of relevant policies in similar situations around the world. [ABSTRACT FROM AUTHOR]

This study explores the complex interactions between renewable energy production, innovation, economic growth, institutional quality, economic globalization, and CO2 emissions in OECD countries and emerging economies from 1996 to 2021. Results from Driscoll–Kraay standard error and feasible generalized least square reveal distinct trends: renewable energy production leads to increased CO2 emissions in emerging economies but significantly reduces emissions in OECD countries. Besides, residential and non‐residential innovation, along with total innovation, show similar effects. Notably, technology‐moderated renewable energy production effectively lowers CO2 emissions in both country groups. Similarly, economic growth enhances environmental quality in both sets of countries. However, institutional quality needs improvement in emerging economies, while current levels suffice in OECD nations to maintain environmental quality. Moreover, the study emphasizes the importance of considering globalization's impact on CO2 emissions, advocating for international agreements to leverage globalization for environmental benefits. Overall, these findings provide valuable insights for shaping renewable energy policies, fostering innovation, promoting economic growth, enhancing institutional quality, and harnessing globalization efforts to reduce CO2 emissions and enhance environmental quality. [ABSTRACT FROM AUTHOR]

This study aims to investigate the impact of eco‐friendly technology on environmental degradation indicated using the load capacity factor (LCF) with the framework of the Load Capacity Curve (LCC) hypothesis. In this regard, an environmental degradation function is formed and analyzed using the Augmented Autoregressive Distributed Lag (AARDL) approach during the period spanning from 1975 to 2021 for India. The outcome indicates that eco‐friendly technology reduces the LCF, thereby fostering environmental degradation in the long run, but the relationship is not significant in the short run. Further, an N‐shaped LCC hypothesis has been observed in both long and short runs. Besides, energy consumption exhibits a LCF reducing or environmental degradation boosting role in the short run and long run. These findings are consistent with other models that are used to check the robustness of AARDL‐based results. Thus, the study recommends policies for promoting eco‐friendly technology, judicious economic growth, and cautious energy consumption to attain sustainable development by increasing the LCF in India. [ABSTRACT FROM AUTHOR]