Phool Hussain

Purpose: The scarcity of research in the nursing profession underscores the need for healthcare organizations to actively employ neurodivergent nurses. Based on signalling theory, this research investigates how the neurodiversity framework influences neurodiversity recognition and how this awareness fosters work collaboration, affective obligation and flourishing at work. Moreover, it explores the impact of flourishing at work on turnover intention. The mediating functions of neurodiversity awareness, work collaboration, affective obligation and thriving at work are also examined. Furthermore, the moderating role of responsible leadership in the correlation between neurodiversity awareness and work collaboration and affective commitment is assessed. Design/methodology/approach: This quantitative research used structural equations modelling for analysis. 622 complete questionnaires were gathered in two-time lags from nurses exhibiting neurodivergent traits. SPSS 29 and Smart PLS 4.1.1.4 were used for preliminary and SEM analysis, respectively. Findings: Results indicate that hypotheses regarding direct and mediating effects are confirmed. However, one hypothesis was not confirmed for the moderating effect. Results confirm the theoretical model of the research. Practical implications: Outcomes describe a positive relationship between neurodiversity adjustments and policies with neurodiversity awareness. Similarly, results also find that neurodiversity awareness enhances work engagement and affective commitment. Hence, these results provide a possible remedy for the shortage of research about neurodiversity in the nursing sector. In the nursing sector, management struggles to recognize practical examples regarding diversity practices and policies (Dobbin and Kalev, 2016). Similarly, work engagement and affective commitment increase thriving at work. It provides evidence that the nursing sector has a better level of neurodiversity policies, adjustments and awareness, which ensure the positive connection between work engagement and affective commitment with thriving at work. Moreover, the current study also examined a similar kind of neurodiversity adjustment compared to neurodiversity policies with other variables. This means that for the development of a better level of work engagement, affective commitment and reducing turnover intention. Originality/value: This study authenticates and expands the body of knowledge for signalling. The current study describes knowledge gaps regarding the concept of neurodiversity among nurses. The current research offers unprecedented facts in the nursing sector for the consequences of neurodiversity adjustments and policies. The results can help management control and manage neurodiversity effectively and explain its consequences via direct and indirect relationships.

Energy poverty remains a pressing issue in developing countries, intensified by inadequate energy policies and ongoing socio‐economic and political crises. This study examines the long‐run empirical nexuses among political stability, female employment, corruption, trade deficit, income disparity, urbanization, and energy poverty in six SAARC countries (Pakistan, India, Bangladesh, Sri Lanka, Bhutan, and Nepal) from 2000 to 2020, within the context of the SDGs, specifically SDG‐7 (Affordable and Clean Energy). We applied four econometric approaches for empirical analysis: the Westerlund LM bootstrap, the PMG‐ARDL, robustness analysis, and the Dumitrescu‐Hurlin causality tests. The Westerlund LM bootstrap test validates the presence of long‐run co‐integration among variables. The long‐run PMG‐ARDL model results reveal that all the factors, including corruption, trade deficit, income disparities, and urbanization, boost energy poverty except for political stability and female employment. These results indicate that political stability and female employment are critical for achieving SDG‐7. A widening trade deficit, increasing income inequality, and rapid urbanization hinder SDG‐7 and energy poverty alleviation. Moreover, the Dumitrescu‐Hurlin causality results reveal bi‐directional causality among income disparity, corruption, political stability, and energy poverty, while female employment, urbanization, and trade deficit exhibit uni‐directional causality towards energy poverty. Based on these findings, the study suggests that policymakers should focus on improving political stability, promoting female employment, and implementing targeted interventions to decrease income disparity, combat corruption, and manage urbanization through solid policies to diminish energy poverty and ensure progress toward the 2030 SDG‐7 targets.

Green finance, innovation, and resource efficiency have gained significant traction recently, particularly in resource-rich countries. This study investigates the role of green finance and innovation in resource efficiency with the mediating lens of environmental regulations and market rules. The study employs a structural equation model on a panel of 15 resource-rich countries from 1995 to 2023. The findings illustrate a complicated interplay between the variables. First, the findings show that green financing positively and negatively affects resource efficiency. In contrast, green innovation constantly improves resource efficiency. Market rules have a favorable impact on resource efficiency. Environmental laws, however, hurt resource efficiency. Furthermore, the study reveals that green financing favors market regulations, implying that financial expenditures in green initiatives might strengthen regulatory frameworks that promote market efficiency. In contrast, green finance harms environmental rules, and green innovation harms both market and environmental regulations. In addition, we divided the sample into developed and developing nations and offered a sub-group analysis to take into consideration the variations in the degree of national development and green advances to further improve the analysis. Overall, the study emphasizes the multifaceted role of green finance and innovation in increasing resource efficiency within regulatory frameworks. These findings are critical for policymakers and stakeholders in resource-rich countries seeking to reconcile economic growth with sustainable development.

Public welfare and macroeconomic stability should be the main objectives of fiscal and monetary policy cooperation. Monetary and fiscal policy should be coordinated better to maintain sustainable economic development. To implement fiscal measures and monetary controls, a balanced budget is necessary. This study uses data from 1976 to 2022. A macroeconomic stability check uses real GDP, current account balance, exports, real effective exchange rate, broad money (M2), foreign exchange reserves, consumer price index (CPI), nominal exchange rate, government expenditures, and government tax revenue. The VAR models we use are Impulse Response Functions (IRFs) and Variance Decompositions (VDs). CMR feels a negative impact, TRY, whereas M2G, GY, and others feel a positive impact. Achieving output and price stability requires higher call money rates, more tax revenues, and reduced government spending. Output gaps should be negative.M2G and CABY are negatively correlated, whereas CABY and CMR are positively correlated. If there is a negative output gap, monetary aggregates and taxes conflict with price and production stability; however, policy should aim to increase the current account balance. We recommend strict fiscal and monetary policy measures to stabilize output and limit inflation whenever there is a positive output gap. In addition to strengthening trade and foreign exchange reserves, reduced government spending will stabilize exchange rates; however, increasing tax revenue will counteract these benefits by strengthening the current account.

The present study has explored socioeconomic determinants of sports performance among the world's countries. The countries' sports performance has been measured using the total number of gold, silver, and bronze medals. The weights of gold, silver, and bronze medals have been assigned 4, 2, and 1, respectively. Gross domestic product (GDP) per capita, health, education, and population determine sports performance. The education and health index proposed by the United Nations Development Program (UNDP) has been used as a proxy for education and health. The influence of regions was captured by using dummy variables. Balanced panel data of 113 countries that participated in all Olympic events from 1972 to 2022 with four-year intervals have been used. However, a separate empirical analysis has been made for 80 countries that attained at least one gold, silver, or bronze medal from 1972 to 2022. Three econometric models have been estimated for each case by applying a fixed and random effect approach. Hausman test has been applied to identify the appropriation of fixed effect and random effect models. Using descriptive statistics, we have found that GDP per capita, education, health, and population are positively and significantly associated with sports performance. Results of dummy variables indicate that the European region has better sports performance than Asia, Australia, America, and Africa. Improvement in GDP per capita, education, and health has been suggested as a strategy to improve sports performance.