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Over the past few decades, companies have shown growing concerns in relation to the environmental impact of their manufacturing activities. Green supply chain management (GSCM) has been considered by the manufacturers as a feasible option to reduce the environmental impact of operations while simultaneously improving their operational performance. The literature suggests that further research on institutional pressures, performance, and environmental practices are needed, especially in the case of developing countries. The present paper explores the GSCM pressures, practices, and performance observed in suppliers of a Brazilian automotive supply chain. The data were treated using partial least squares structural equation modeling (PLS-SEM) provided by SmartPLS software. The results show that the economic and environmental performance of the studied supply chain is positively related to the adoption of GSCM practices. In addition, the present research also identified the institutional pressures that influence this supply chain to pursue green supply chain management practices. The results of this study provide managerial and theoretical approaches for different industries in Brazil to focus on environmental awareness by adopting GSCM practices. In addition, this study helps increase confidence among managers and policy makers of Brazilian companies in the adoption of GSCM practices to improve firm performance. [ABSTRACT FROM AUTHOR]

Cleaner Production (CP) is defined as a continuous application of an integrated environmental strategy applied to production, processes and services to increase production efficiency and reduce risks to the environment and people. A lot of survey research has been investigating the adoption level of CP practices around the globe. Despite their contributions, these works do not use a clear and validated construct to represent CP. Also, most of them use only a few constructs to represent CP or do not take into account the CP multi-dimensional structure recognised by the UNEP, the primary international reference in this field. The objective of this article is to contribute to filling this gap by proposing a scale to measure CP. The methodological approach includes specification of theoretical domains and operational definition of constructs, generation of items, face validation, pre-test and scale purification, reliability and validity analysis of the scale. The study is based on responses from 499 researchers and managers obtained in over two successive surveys. Psychometric properties were assessed using Exploratory Factor Analysis and Confirmatory Factor Analysis. The proposed scale comprises eight constructs and twenty-five practices. The scale was validated in terms of construct reliability, convergent validity and discriminant validity. In practical terms, this research is relevant because it provides companies with an instrument to measure their efforts towards CP. The scale can be useful as a benchmarking tool between companies and industry sectors and also can be used by public policy managers seeking to create or improve environmental regulations. • Proposition of a multi-dimensional scale to measure Cleaner Production. • The scale follows the structure proposed by the UNEP. • It incorporates supply chain management practices. • The study is based on responses from 499 researchers and managers. • Psychometric properties were assessed using Exploratoty Factor Analysis and Confirmatory Factor Analysis. [ABSTRACT FROM AUTHOR]