Element Matching and Configuration Path of Corporate Social Responsibility Performance

Is Policy the Necessary or Sufficient Driving Force of Construction and Demolition Waste Recycling Industry Development? Experience from China

Policies have long been considered the essential driving force in promoting construction and demolition waste (CDW) recycling. However, the policy instruments adopted in different economies have varied greatly, which contributes to the difficulty in quantitative discernment of their effect. This study aims to examine whether the holistic employment of policy measures determines the development of CDW recycling around China. To accurately measure the holistic adoption of CDW policies, this study assessed policy strength via a proposed three-dimensional evaluation model. The spatiotemporal differences in policy strength among the 52 sample cities were further defined using K-means clustering and the Gini coefficient. Next, the driving effect of policy on the initial establishment of CDW recycling industry practices was examined by event history analysis (EHA). Finally, fuzzy set qualitative comparative analysis (fsQCA) was used to analyze the sufficiency and necessity of policy for the initial establishment of CDW recycling practices. The results indicated that the establishment of a first CDW recycling plant is only slightly correlated with policy measures, whereas it is highly correlated with the pilot city and per capita GDP. Furthermore, application of policy is neither a necessary nor sufficient condition for the establishment of a CDW recycling industry facility.

How to Embrace Sustainable Performance via Green Learning Orientation: A Moderated Mediating Model

Manufacturing enterprises have realized that organizational learning is conducive to the development of environmental and economic sustainability. However, prior literature has paid less attention to how green learning orientation affects sustainable performance. Based on organizational learning theory, this article constructs a moderated mediating model of the impact of green learning orientation on sustainable performance, using green innovation behavior as the mediating variable and corporate social responsibility (CSR) as the moderating variable. Through the empirical analysis of 193 valid questionnaires from middle and senior managers in Chinese manufacturing enterprises, the results show that green learning orientation positively affects green innovation behavior and sustainable performance, green innovation behavior plays a partial mediating role between green learning orientation and sustainable performance, the relationship between green learning orientation and green innovation behavior depends on CSR, and the mediating effect of green innovation behavior is moderated by CSR. The results provide a theoretical basis and practical implications for promoting green learning and improving sustainable performance of enterprises.

The Transition of Cities towards Innovations in Mobility: Searching for a Global Perspective

The growing concentration of the population in urban areas presents great challenges for sustainability. Within this process, mobility emerges as one of the main generators of externalities that hinder the achievement of the Sustainable Development Goals. The transition of cities towards innovations in sustainable mobility requires progress in different dimensions, whose interaction requires research. Likewise, it is necessary to establish whether the experiences developed between cities with different contexts can be extrapolated. Therefore, the purpose of this study was to identify how the conditions that determine a city’s readiness to implement urban mobility innovations could be combined. For this, qualitative comparative analysis was applied to a model developed using the multi-level perspective, analyzing 60 cities from different geographical areas and with a different gross domestic product per capita. The R package Set Methods was used. The explanation of the readiness of cities to implement mobility innovations is different to the explanation of the readiness negation. While readiness is explained by two solutions, in which only regime elements appear, the negation of readiness is explained by five possible solutions, showing the interaction between the landscape and regimen elements and enacting the negation of innovations as a necessary condition. The cluster analysis shows us that the results can be extrapolated between cities with different contexts.