Farrukh Shahzad

This study investigates the dynamic relationship between fiscal decentralization (FD), renewable energy intensity (REI), and carbon footprints (CFs) in the ten most highly decentralized OECD countries. Employing the cross-sectional autoregressive distributed lag (CS-ARDL) bound test, the analysis captures both short- and long-term effects of FD and its key determinants. Additionally, the Dumitrescu–Hurlin causality test examines the directional causal relationships among these variables. The findings indicate that FD serves as an effective mechanism for mitigating CFs by enhancing environmental quality. Consequently, local governments in highly decentralized regions should prioritize adopting renewable energy sources. Furthermore, carbon reduction initiatives contribute to energy efficiency and emission reduction targets. A statistically significant negative interaction between REI and CFs suggests that countries with high FD but low REI do not achieve substantial environmental benefits. The Dumitrescu–Hurlin causality test reveals a unidirectional causal relationship from revenue decentralization (REVD), expenditure decentralization (EXPD), composite fiscal decentralization (CFD), REI, gross domestic product (GDP), population size, and environment-friendly technological innovation (EnFTI) to CFs. Despite its contributions, this study has certain limitations. The analysis is restricted to highly decentralized OECD countries, which limits the generalizability of the findings. Additionally, while the CS-ARDL model captures short- and long-term dynamics, it does not account for potential spatial dependencies that may influence environmental outcomes. Future research could incorporate spatial econometric techniques or case-specific studies to enhance robustness.

Employees’ negative outcomes have continued to be the logical position emphasized by service-oriented organizations that ‘the customer is always right’ and organizational policies that require employees to make customers happy, even in situations involving a customer’s uncivil behavior. The current study builds and evaluates a research model that analyzes the associations among customer incivility, employees’ emotional exhaustion, employees’ intentions to quit the workplace, and employees’ satisfaction at the workplace using the conservation of resources theory. Employees from four- and five-star hotels in Pakistan. The data shows that customers’ incivility boosts employees’ emotional exhaustion and employees’ intentions to quit the workplace, but intentions have no effect on employees’ satisfaction at the workplace when using structural equation modeling. The results show that employees’ emotional exhaustion slightly mediates customers’ incivility influence on employees’ intentions to quit the workplace while totally mediating customers’ incivility effect on employees’ satisfaction at the workplace. The findings’ implications, limitations, and future directions are examined.

Climate change traps heat, affecting various species in previously dry areas. Climate change brought on by emissions of greenhouse gases exacerbates problems such as severe storms, earthquakes, epidemics, and food distribution. The group of developed and developing countries, the world’s biggest carbon emitters and most significant economies, is expertly planning to lessen its environmental challenges and contribute to achieving Sustainable Development Goals 7 and 13 set by the United Nations. This study uses the novel econometric methodologies of the dynamic ordinary least square (DOLS) estimator, the augmented mean group (AMG) estimator, and the fully modified ordinary least square (FMOLS) estimate to examine the influence of economic policy uncertainty, renewable energy consumption, geopolitical risk, non-renewable energy consumption, and economic growth on ecological footprint from 2000 to 2021. The results reveal that the variables are co-integrated; REC reduces carbon emissions, EPU, geopolitical risk, and economic growth contribute to increasing carbon emissions, while urbanization improves carbon emission. Finally, the results suggest that the developed and developing economies can progress toward SDGs 7 and 13 by using renewable energy, lowering the geopolitical risk, effectively handling policy uncertainty, and reducing urbanization.

Espousing the theoretical framework of singling theory and social exchange theory, the current study examines the less explored topic of paternalistic leadership. This study contributed by scrutinizing the relationship between paternalistic leadership, personality characteristics, alienation, and organizational climate through the mediating role of cohesiveness. A convenience sampling technique was applied for this study. Data was collected through an adopted questionnaire from 723 respondents. A variance-based structural equation modeling (PLS-SEM) was used for testing the proposed structural model. Results revealed that paternalistic leadership and personality characteristics significantly and positively impact alienation and organizational climate. Furthermore, cohesiveness mediates the relationship between personality characteristics, paternalistic leadership, alienation, and organizational climate. Based on research findings, essential theoretical and managerial aspects with major policy-making implications are discussed in the study.

This study intended to provide and test a unique model describing how abusive supervision increases workers’ turnover intentions, with a mediating role of emotional exhaustion and moderating role of self-esteem. We argued that emotional exhaustion exacerbates the association between abusive supervision and turnover intentions of the workers, while self-esteem buffers this relationship, based on the unfolding model of voluntary turnover as an overarching theory. The study design reflected that abusive supervision and turnover intentions are mediated by emotional exhaustion, while the relationship between abusive supervision and emotional exhaustion is further moderated by self-esteem. A well-structured and self-administered questionnaire was used to collect data from 290 respondents. The data were analyzed, and hypotheses were tested using PLS-SEM. The study findings confirmed that there exists a positive and significant link between abusive supervision and turnover intentions through the indirect effect of emotional exhaustion. On the other hand, the findings regarding moderating effect indicates that self-esteem has a significant impact among abusive supervision and emotional exhaustion. This research identified a feasible way for supervisors to grasp how diverse the responses of various workers may be using the unfolding model. These research findings have important academic and practical implications for government representatives, policymakers, and entrepreneurial educational institutes that can use these findings.

Current paper studies the nexus between fiscal decentralization, renewable energy intensity, and carbon footprints in Canada. Preliminary empirical findings strictly reject the preposition of data normality and highlight that the observed nexus is quantile dependent. Additionally, our test looks for systematic deviations from zero in the causality at a certain quantile and frequency. In particular, we consider the bootstrap Fourier Granger causality test in quantile. At each frequency, we test the sample causality against the distribution of the median causality across frequencies estimated for that process, which may disclose the misleading causal link in previous studies using only traditional Granger causality. Our results show a negative one-way Granger causality from fiscal decentralization to carbon footprints (quantiles: 0.1–0.9) and renewable energy intensity to carbon footprints, respectively (quantiles: 0.1–0.9). Herein, results show a positive one-way Granger causality through fiscal decentralization to renewable energy intensity (quantiles: 0.3–0.7). These conclusions are used to formulate policy suggestions.

This is a perspective, about the future climate policy of Pakistan, to improve the harvest of Green Climate Funds (GCF). This paper takes upon the calculation of climate financing potential in the context of the energy sector of Pakistan by estimating the potential of becoming a net-zero sector in Pakistan’s Economy. The study has identified several options for the government to reallocate the energy mix and tie the energy demand targets with climate targets for a green future of Pakistan. The study has used basic excel tools to calculate facts from the available data sets in Pakistan. The study found that, if Pakistan chooses to shift from dirty sources of energy production to the use of cleaner inputs for energy production, Pakistan can generate a significant amount of climate finance by reducing the emissions from energy production, which are recordable, traceable, and can be evaluated by any of the third-party evaluating organization. The initial cost for Pakistan will cause some discrepancies in some of the macroeconomic indicators and may also cause budget imbalances it will surely help the economy to achieve the targets of becoming a net-zero economy and be able to harvest Green Climate Funds in long term with much faster rate, which can overpass the investments made or being made in this sector and will create a significant amount jobs in the economy, which will be green jobs, promoting environmental friendly output and sustainable growth.