Abdul Haseeb

The industrial structure plays a key role in economic and sustainable development, global competitiveness, and prosperity. Hence, it is crucial to understand the current industrial structure and technological trade in the top‐ten high‐income countries. Therefore, the aspiration of this research is to unpack the stance of upgradation of industrial structure, technological trade, and sustainable development. To this end, the second‐generation estimation approaches were adopted for the Top‐ten high‐per‐capita high‐income countries, namely, Australia, Belgium, Denmark, Germany, France, Luxembourg, Singapore, Norway, Sweden, and the United States from 2001 to 2018. The results drawn from the Driscoll–Kraay standard errors suggest that the current industrial structure contributes to carbon footprint and increases environmental degradation. In the same way, financial development increases environmental degradation and poses a threat to sustainable development. Contrarily, trade is negatively related to carbon footprint and curbing environmental degradation. Globalization and renewable energy mitigate carbon footprint and bring sustainable development. The HDI has a positive but insignificant relationship with carbon footprint. Additionally, the causation illustrates a reciprocal interaction between carbon footprint and trade; however, no causal link was detected between industrialization and carbon footprint. The findings provide valuable insights for policymakers and practitioners to formulate effective policies.

In the era of globalization, financial development plays a key role in socioeconomic and environmental development. However, its adverse consequences on human life, environmental hazards, and high energy consumption cannot be ignored. Thus, this study investigates the non-linear relationship between globalization, financial development, and energy consumption for BRICS economies. In doing so, we have applied second-generation tests to identify cross-sectional dependence in the data. Cross-sectional augmented Dickey-Fuller (CADF) and Cross-sectional Im-Pesaran Shin (CIPS) have been performed to find the stationary level of variables. The long-term equilibrium link between the investigated variables has been established in continuance using the Westerlund Cointegration test. The Dynamic Seemingly Unrelated Regression (DSUR) indicates that U-shaped relationships exist for financial development and globalization with energy consumption. Conversely, there is an inverted U-shaped relationship exist between economic growth and energy consumption in BRICS. The Dumitrescu-Hurlin panel causality test findings show that a unidirectional link runs from energy consumption to financial development, economic growth to energy consumption, and globalization towards energy usage. Important policy implications have also been discussed.

Since the end of the twentieth century, the world has observed a considerable upsurge in carbon emissions as several countries have surfaced as industrial centers and production monsters worldwide. The present study contributes to the existing literature examining the effects of carbon-based emissions, industrial value added, trade openness, transport services, railway lines, and globalization index on per capita GDP growth in China. The study covers a period of 40 years, from 1982 to 2021, introducing the impact of railway transport on GDP growth in contemporary environmental empirics. A vector error correction model (VECM) was applied to achieve the study’s envisaged objectives. The findings of this study reveal that carbon emissions are responsible for the reduction of per capita GDP growth in China. On the contrary, industrial value added, transport services, railway lines, and globalization index positively support the per capita GDP growth-dependent variable. The study proposes that pragmatic policies are needed to control pollution resulting from carbon emissions. The eventual effect of maintaining greenhouse gases is expected to assist in achieving sustainable growth of per capita GDP leading to the accomplishment of sustainable development goals in the economy.

In the current era of globalization, cross-listing literature has been growing as a tool to achieve sustainable growth and provide policy implications for multinationals, international investors, and regulators. This research explores the three themes—influential aspects, intellectual structure, and conceptual structure—that underpin the growing cross-listing-based literature published in the Web of Sciences until July 2020. This study used bibliometric coupling to segregate the research front of cross-listing and then studied each theme’s conceptual structure and influential aspects separately. The analysis revealed that the cross-listing literature could be divided into three clusters: (1) price discrepancies and stock returns related to asymmetric information and market efficiencies, (2) earnings quality, earnings management, and the adoption of accounting standards, and (3) cross-listing benefits covering the growth, informativeness, and liquidity. For instance, our analysis identifies the impact of cross-listing on local market developments regarding trading volume and liquidity, secondly the benefits of financial market liberalization for cross-listing, particularly regarding the cost of capital, and thirdly the variation in abnormal returns after cross-listing with changing risk exposure, shareholding base, and amount of money raised. This research also proposes a future research agenda for the advancement of each cluster of cross-listing identified. The outcomes of this literature review will provide valuable information to practitioners and researchers and help them to further understand the broad perspective and prospects of cross-listing.

Global warming and greenhouse gas emissions pose severe threats to environmental sustainability. A sustainable environment is a prerequisite for long‐term socioeconomic growth and human survival. Green technology is brought about by a country's economic and financial openness, and education provides knowledge to the public and labor, contributing to environmental sustainability. Thus, this research aims to unveil the liaison between human capital, trade openness, and environmental quality for Russia, Brazil, India, China, and South Africa (BRICS) countries from 1998 to 2018. Several econometric methods, including the Driscoll–Kraay standard errors and the Dumitrescu–Hurlin causality approaches, reveal long‐run and causal relationships among the modelled indicators. The Driscoll–Kraay standard error results show that human capital is negatively related to carbon dioxide emissions (CO₂ emissions). Imposing high tariffs and excise duties, changing tax structures, discouraging the inflow of polluted commodities, and encouraging green trade can help BRICS combat high environmental pollution. The results show that a one‐point increase in human capital in models 1 and 2 can reduce CO₂ emissions by 1.5279 and 0.1538 points, respectively. In contrast, a 1% growth in trade can lead to a rise in CO₂ emissions of 0.3731% and 0.2384%, respectively. Similarly, financial development and energy consumption result in high CO₂ emissions in the long run. Moreover, a feedback effect of the human capital index on CO₂ emissions is discovered. As a result of the findings, the government and responsible authorities should provide financial support and encourage investments in the region's energy‐resourceful and sustainable green projects.

The objective of this study is to examine the main constraints experienced in the online mode of education during this pandemic at higher education level in Pakistan. The COVID-19 pandemic credibly transformed the method of learning and teaching from face to face to online. In unexpected sudden septicity, universities in Pakistan have started online education without proper instructional provision and relevant experience. For this purpose, the data is collected from 750 students and teachers across all over the regions in Pakistan. The study has used partial least square structural equation modeling (PLS-SEM). The findings show that technological bottlenecks, institutional preparedness, and digital divide are significant challenges. The differences in perceptions of rural and urban areas are also very important referring to several policies implications, implementing information communication technology (ICT), friendly curriculums, enhancing online accessibility and infrastructure development. This study contributes to help universities for developing effective e-learning policies for students in the situation of COVID-19.

Global climate change brings environmental quality sensitivity, especially in European countries. In this context, European countries are striving to achieve carbon neutrality by 2050. Renewable energy use can be an effective way to curtail the increasing environmental degradation. How the oil prices shape the energy use pattern and environmental quality remains unclear to date. Therefore, the present research examines the linkage between energy use (non-renewable and renewable energy), oil prices, and CO₂ emissions in 30 European countries between 1997 and 2017. The study applied fully modified ordinary least squares (FMOLS), Westerlund (2007) cointegration and the Driscoll-Kraay Regression tests to explore these associations. The result of individual samples and the full sample provides the same intimations for the use of energy in Europe. The outcomes of the research ratify the existence of a long-run relationship among variables and found that non-renewable energy consumption increases CO₂ emissions, while renewable energy consumption mitigates CO₂ emissions. Furthermore, when the oil prices rise, people switch towards substitute energy sources that reduce CO₂ emissions. Based on the results, the study suggests that European countries should increase the share of renewable energy, promote the use of clean energy resources, and discourage fossil fuel energy consumption to ensure sustainability.