Environmental commitment to sustainability is one of the most critical issues in the “emerging contaminants”, few studies have examined the role of commitment to pro-environmental behavior and environmental concerns. This study aimed to explore the relationship between environmental commitment and three forms of emotional association: place attachment and social identity, connectedness and concerned about nature. Using 1288 respondents and a structural equation modeling approach, results show that connection to nature enhanced social identity, place attachment, and environmental concern, which in turn increased environmental commitment to sustainability. Place attachment was not related to environmental commitment to sustainability. Further analysis suggested that the theoretical model relationship between connection to nature and environmental commitment to sustainability was mediated by social identity and environmental concern. The findings of this research can offer guidelines for policy makers and green educators who evaluate an environmental commitment so as to provide proper beliefs association with nature and promote social identity and place attachment by emerging contaminants in educational activities. This demonstrates the importance of using a series of robustness of social identity and place attachment instruments and more environmental concern to promote environmental commitment to sustainability. Interpretation of the findings reveals the potential role that environmental commitment to sustainability can play as a hub and catalyst for major emerging contaminants change by fostering recognition of environmental commitment as a way of change and combine schools and government sectors to connect the micro- and macro-levels.

Sustainable development has become the biggest concern of the semiconductor industry, which plays a vital role not only in technology breakthroughs, but also by serving as an enabler for sustainability. This study combines Analytic Hierarchy Process (AHP) and additive network Data Envelopment Analysis (DEA) to measure the sustainable performance which are derived from business growth stage and energy utilization stage through the parametric linear program. Meanwhile, this method makes up the disadvantage of the weighting technique used additive decomposition approach to the two-stage network and avoids biasing toward the second stage. The findings demonstrate that Taiwan’s semiconductor manufacturing sector has exhibited a steady increase in its overall trend of sustainability performance. According to the stage-level performance results, the performance of business growth is better than energy utilization. However, the changing trend of overall sustainability performance is through a steady increase from environmental efficiency and not from economic efficiency.