Turning Lemons into Lemonade: Social Support as a Moderator of the Relationship Between Technostress and Quality of Life Among University Students.

Purpose: The overuse of internet-based technologies as a means of coping with the stress they generate has resulted in an alarming level of addiction, adversely impacting the quality of life and overall health of younger individuals. This social detachment, in turn, contributes to both physical and mental health deterioration. The potential remedy for this predicament lies in the application of social support as an antidote to internet addiction. In this context, our present study employs the Stress-Strain-Outcome model to explore the indirect effects of internet addiction and the moderating role of social support in relation to the influence of technostress on the quality of life of adults. Methods: We adopted a time-lagged design to collect data from university graduates and evaluated our study hypotheses using Mplus. Results: Our empirical findings highlight the significant influence of technostress on internet addiction, with the latter significantly mediating the relationship between technostress and quality of life. Furthermore, our results reveal that social support effectively moderates the indirect effects of technostress on quality of life through its impact on internet addiction. Conclusion: These findings can help researchers and educators better understand the underlying mechanisms between technostress and quality of life with social support as the silver lining. This form of social support holds the potential not only to alleviate internet addiction but also to positively enhance the quality of life and overall wellbeing of individuals facing these challenges. The implications of these findings and avenues for future research are also discussed.

Electric vehicles' choice behaviour: An emerging market scenario.

Worldwide, the adoption of electric automobiles is gaining momentum, owing to a steady rise in customers' sustainability consciousness. So far, electric vehicle-related studies have investigated consumer motives, attitudes, and intentions toward adoption. However, empirical research on enablers and inhibitors of electric vehicle choice behaviour has not been fully explored, particularly in an emerging market context, (e.g., India). The present study employed a judicious mix of three notable theoretical lenses of dual-factor theory, innovation resistance theory, and the stimulus-organism-response model to empirically scrutinize electric vehicle adoption enablers and inhibitors by analysing data collected from 391 young Indian sustainability-oriented electric vehicle users. The sample was gathered via the purposive sampling method, and the data was analysed employing structural equation and PROCESS macro modelling. The research posits that consumer sustainability consciousness (CSC) is a stimulus with a positive influence on enablers (e.g., personal motives, social motives, and incentive policy) as well as inhibitors (e.g., usage, value, and risk barriers). Additionally, product involvement and perceived marketplace influence significantly moderate the relationship between choice behaviour and facilitators and inhibitors. The research offers a few useful strategic decision-making insights for electric vehicle manufacturers, green marketers, and policymakers from emerging markets.

Review of measurement of sustainable development goals: a comprehensive bibliometric and visualized analysis.

The global focus on evaluating environmental performance means that sustainable development goals must be prioritized to preserve environmental sustainability. In order to accomplish the SDGs, it is crucial that activities be preferred and that methods be developed to assess their effectiveness. As a result, the techniques used for the measurement and assessment of the SDGs have increased in significance for all countries. Researchers and academics create these technologies through research and invention. By undertaking a bibliometric analysis, this study aims to identify the scholarship in the area of SDG assessment and measurement. The analysis was produced by collecting the related studies from the Web of Science database. The information was retrieved, and a thorough and organized analysis was done to give crucial insights on the chosen issue. The analysis revealed the most often cited articles, important institutions that contributed, leading research-involved nations, and institutions. To evaluate the varied collection of techniques accessible for the goal of evaluating SDGs, a thorough review of the most cited works is conducted and provides a bird's eye view of research on mechanisms for measuring the outcomes of SDGs.

Does energy consumption reinforce environmental pollution? Evidence from emerging Asian economies.

Steadily improving per capita income level, energy consumption, and delivery of financial services in South and Southeast Asian countries has remained a subject of discussion among policymakers. Because these endeavors have not only elevated their growth trajectory but also widened the scope for carbon emissions, especially in the preceding two decades. In order to confirm this argument, therefore, in the present study, we intended to examine their dynamic impacts on carbon emissions. In this pursuit, by using the second-generation unit-root test, cointegration test, and panel regression procedures, we investigated the moderating impact of energy solutions on the association between per capita income and CO2 emissions and financial development and CO2 emissions from 1976 to 2015. The computed results revealed that the energy's interaction with the linear per capita income significantly escalated carbon emissions in the long run. However, the impact of energy's interaction with the squared per capita income on carbon emissions is found insignificant but positive in the long run. On the other hand, the interaction of energy with financial development provided a negative but insignificant coefficient. Based on the outcomes, we can ascertain that, at the lower level of income, energy consumption leads to environmental pollution, whereas at the higher level of income, its harmful effect on carbon emissions becomes weak in the given regions. By taking a cue from the computed results, we proposed a policy framework that might help these regions to navigate the energy-led environmental challenges in the coming years.

Examining the nexus between export diversification and environmental pollution: evidence from BRICS nations.

In recent years, industrial growth has enabled the BRICS nations to increase their export earnings from both traditional and new products. However, in terms of modernization of industries, these nations can be considered as laggards, because the present production processes appear to be carbon-intensive and energy-inefficient. In this backdrop, the present study, by using the second-generation econometric procedures, is intended to examine the impact of industrialization, export diversification, technological innovation, income inequality, and resource rents on the carbon dioxide emissions in the BRICS nations from 1990 to 2018. The long-run coefficients revealed that the industrial expansion, reduction in export diversification, low concentration on traditional exports, and high concentration on new exports exacerbated the air quality in the BRICS nations. On the other hand, technological advancement contributed to restoring environmental quality during the study period. Furthermore, it is observed that the present research endeavors in the BRICS nations are insufficient in circumventing industrial pollution, as the value of the joint coefficient of technological advancement and industrialization is found insignificant but negative. Hence, based on the computed results, a multipronged policy framework is proposed, so that these nations can achieve the targeted sustainable development goals (SDGs) in the coming years.

Does financial development reinforce environmental footprints? Evidence from emerging Asian countries.

In the preceding two decades, the expansion of financial services has played a vital role in pursuing economic growth agendas in the developing Asian nations. However, its harmful effect on environmental quality cannot be denied. In this backdrop, in the present study, we investigated whether the financial sector development moderated the ecological footprint, carbon footprint, and land footprint in the eight developing nations of South and Southeast Asia from 1990 to 2015. In doing so, we included the per capita income, energy solutions, and trade expansions as determinants of the ecological indicators. The results of the second-generation unit root tests and Westerlund's cointegration test reported the long-run stability and cointegration, respectively. To navigate the possible cross-country dependency, we employed the cross-sectional augmented autoregressive distributed lag approach (CS-ARDL). The results confirmed that per capita income, energy solutions, trade expansion, and financial sector development invigorated the ecological footprint, carbon footprint, and land footprint in the long run. Further, it is reported that the development in the financial sector has a significant moderating impact on the nexus between energy and environmental footprints. In other words, the financial sector development drove the association between the overall environmental quality and energy solutions in the long run. Similarly, we observed that the financial sector development worked as a significant mediator between environmental proxies and trade expansion. By including the ecological footprint, carbon footprint, and land footprint as environmental proxies, the study provides the wider environmental spectrum. Based on the outcomes of the study, we proposed a novel scheme, which may help to address the harmful environmental impacts of the financial sector development in the selected developing nations.

Examining the impacts of economic and demographic aspects on the ecological footprint in South and Southeast Asian countries.

The re-examination of the existing economic and environmental policies in the South and Southeast Asian countries seems to be necessary, as these countries are struggling to achieve the goals of sustainable development. For designing a long-term environmental policy, we intended to examine whether the selected economic and demographic indicators have influenced the ecological footprint in the eight developing countries of Asia from 1990 to 2015. The use of pooled mean group (PMG) approach allowed driving the long-run common coefficients, which may facilitate us to develop a common policy framework for fortifying the environmental quality. The computed results confirmed that the selected variables are cointegrated in the long run, and the variables, i.e., per capita income, nonrenewable energy usage, urbanization, fertility rate, and population density are observed as the significant drivers of the environmental pollution. Moreover, the consumption of renewable energy restored the environmental quality in these countries. Based on the results, we recommended the need for the diversification of the energy-basket for enhancement of the use of renewable energy resources. Further, through sensitization of the necessity of environmental conservation, the governments should promote less carbon-intense economic and demographic practices across the industries and sectors.