Public health issues are a global focus, but recent research on the links between fossil energy consumption, pollutant emissions, and public health in different regions have presented inconsistent conclusions. In order to quantify the effect of fossil energy use and pollutant emissions on public health from the global perspective, this paper investigates 33 countries with high GDP and fossil energy consumption from 1995 to 2015 using a fixed effect model. Further, this paper utilizes heterogeneity analysis to characterize the disparity of countries with different features. Empirical results indicate that total fossil energy consumption is beneficial to the life expectancy of the population (LEP), but pollutant emissions (PM10 concentration and greenhouse gas scale) have a negative effect on LEP. Moreover, the heterogeneity test indicates that pollutant emissions lowers LEP in net energy importers more than in net energy exporters, and the effect of such emissions in low- and middle-income countries on public health is more harmful than that in high-income countries. These findings suggest that it is a greater priority for governments to strengthen the control of pollutant emissions through enhancing the efficiency of energy consumption, rather than by reducing its scale of use in low- and middle-income, and net energy importing countries. Additionally, governments also need to focus on the volatility of pollutant emissions in high-income countries with necessary control measures.

Purpose: As a typical creative behavior, creative process engagement (CPE) has received increased attention in recent years. Leadership behaviors such as leader–member exchange (LMX) and leader creativity expectations (LCE) have been found as two key predictive factors of CPE. However, the mechanism underlying this relationship is not well understood. This study aims to clarify how LMX influences follower CPE by considering the interplay among LCE, decision autonomy and task interdependence from an interactionist perspective.Design/methodology/approach: Using a sample of 371 leader–employee dyads from eight enterprises in mainland China, this study conducts a hierarchical regression analysis to test the hypotheses for the proposed model.Findings: Results reveal that the significant two- and three-way interactions where LCE, decision autonomy and task interdependence moderate the relationship between LMX and follower CPE. The relationship between LMX and follower CPE is not significant as expected, but the moderating role of LCE is positive and significant, and the relationship is strongest when conducted with either low task interdependence or high decision autonomy.Originality/value: Different from previous research that only investigated one certain leadership factor’ effect on employees' innovative behaviors, this study comprehensively considered the combined influence of two related but significantly different connotation leadership factors on follower CPE and found the contingency effect of LCE on the relationship between LMX and follower CPE. Furthermore, the authors found the regional effectiveness of the leadership factor. The effect of leadership factors on follower CPE varies under the influence of different job characteristics, and is conducive to enrich the interactionist view on follower CPE.