Causal complexity of environmental pollution in China: a province-level fuzzy-set qualitative comparative analysis.

Environmental problems are endowed with the causal complexity of multiple factors. Traditional quantitative research on the influencing mechanism of environmental pollution has tended to focus on the marginal effects of specific influencing factors but generally neglected the multiple interaction effects between factors (especially three or more). Based on the panel data of 30 Chinese provinces between 2011 and 2020, this study employs fuzzy set qualitative comparative analysis (fsQCA) - which can provide a fine-grained insight into the causal complexity of environmental issues - to shed light on the influencing mechanism of environmental pollution.

Sustainability accounting of neighborhood metabolism and its applications for urban renewal based on emergy analysis and SBM-DEA.

Rapid urbanization exacerbates urban metabolic activities associated with irreversible environmental degradation. Evaluating urban metabolic performance is an effective method to meet targets for sustainable development in contemporary urban areas. Neighborhoods, which are regarded as the basic parts of cities, can detail the metabolic structure and interactions from a bottom-up perspective.