The recent perennial spate of flooding in Ghana has over the years caused hemorrhagic loss to lives and properties. In view of the inundation phenomenon, issues of waste management have been shot into prominence. The key among dominant suggestions to counteracting the situation has essentially converged around waste separation, which is an under researched area in Ghana. Against this background, the research seeks to investigate household waste separation behavior using an integrated theory of planned behavior and the norm activation model as the theoretical framework. Data were drawn using the questionnaire survey method and further analyzed using the structural equation modeling technique. The empirical results of data analysis drawn from 707 households confirmed a significant relationship between awareness of consequences and attitude, and subjective and personal norms. Subjective norm is significantly related to attitude and perceived behavior control. Moreover, attitude has a positive relationship with behavioral intention, whereas the relationship between perceived behavior control and behavioral intention is not significant. Finally, personal norm has a significant relationship with behavioral intention. The results also confirmed that the integrated model is useful and appropriate for predicting behavior. From the results, implications for pursuing and forging household waste separation behavior and suggestions for future research are outlined.

This paper aims to analyze how the digital economy affects industrial restructuring and examine the mediating role of the relevant factors. Based on the analysis of the effect mechanism of the digital economy development on industrial restructuring, this paper constructs an improved measuring index system of digital economy covering digital infrastructure, digital industrialization, and industrial digitalization, and measures regional digital economic growth based on provincial panel data in China from 2013 to 2020 by using the entropy TOPSIS method, empirical analyses on the impact of the digital economy on industrial restructuring, and verifies the mediating effect of human capital, technological innovation, and financial development in this process. Research findings are as follows: (i) Digital economic growth demonstrates a considerable positive effect of the speed, efficiency of industrial restructuring, and industrial structure rationalization. (ii) Digital economy indirectly boosts industrial restructuring by affecting human capital, technological innovation, and financial development. The findings in this study are of theoretical significance to interpret the effect of digital economic growth on industrial restructuring, facilitating relevant economies in the decision-making of industrial restructuring and upgrading.