Search

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]

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]

The nexus between technological innovations and environmental quality has been much discussed in the field of energy economics and policy. However, the role of overseas eco‐friendly innovation collaboration on environmental quality in India remains unaddressed. In such a line, our study raises the question of whether overseas eco‐friendly innovation collaboration and total technological innovations collaboration are important towards health protection of the natural environment in India. This motivates us to study their effects on India's carbon dioxide emissions function in the presence of energy consumption and economic growth as important control variables. The usage of annual data from 1985 to 2016 permits us to use traditional and structural break unit root tests before the application of ARDL model to evaluate the long‐run relationship between the variables. Besides confirming the long‐run relationship among the variables, we find that eco‐friendly innovation and total innovation collaborations drive health of the natural environment while energy consumption impedes it. The adverse effect of economic growth on environmental quality becomes ineffective. These findings are robust to the usage of alternative techniques, urging climate policymakers in India to house greater overseas eco‐friendly innovation collaboration with other advanced and emerging economies to drive environmental quality sustainability in the long run. [ABSTRACT FROM AUTHOR]

This article examines the relationships between technological innovation and environmental quality in India relying on the availability of annual data from 1980 to 2018. Both inward remittances and economic growth are also considered as key determinants in CO2 emissions and technological innovation functions. The result from utilizing autoregressive distributed lag (ARDL) bounds testing cointegration approach indicates the existence of long‐run relationship between the series. The combined cointegration test is also used as a result robust checking and validating the long‐run relationship. While considering the carbon dioxide emissions function, the findings document that technological innovation and economic growth degrade environmental quality in India via promoting atmospheric emissions in the long‐run, whereas U‐shaped relationship between inward remittances and carbon dioxide emissions is established. Further considering the technological innovation function, findings clearly indicate that both carbon dioxide emissions and economic growth promote the new technological innovation in the long‐run and also fails to confirm the inverted U‐shaped relationship between remittances inflows and technological innovation. On the policy front, we suggest that technological innovation should be made eco‐friendly and heavy utilization of inward remittances on pollution‐driving households' appliances need to be discouraged in India for mitigating both climate change and global warming in the long‐run. [ABSTRACT FROM AUTHOR]