Rapid industrialization, increasing population urbanization, and improved living standards have all contributed to greatly increasing greenhouse gas (GHG) emissions in urban areas of developing countries. This situation is especially true for China, where fossil fuel depletion is a critical...

In this paper, we introduce a multi-stage multiple criteria latent class model within a Bayesian framework that can be used to evaluate and rank-order objects based on multiple performance criteria. The latent variable extraction in our methodology relies on Bayesian analysis and Monte Carlo...

The greening of organizational transportation fleets, especially trucks and automobiles, has gained increasing attention by companies in a variety of industrial sectors. The reasons for this concern and attention are due to regulatory and competitive pressures, but also increasing costs of...

Green supply chain management (GSCM) has become an emergent ecological modernization tool amongst Chinese manufacturers to balance environmental performance with productivity and business performance gains. Ecological modernization at the society level is influenced by restructuring policies and...

This paper explores and illustrates an analytical framework to assess an organization's logistics strategy. The optimum logistical system is evaluated based on three primary levels: the organizational/supply chain relationship involved, the principles of logistics required, and the attributes of...

In this paper we report on results from a cross-sectional survey with manufacturers in four typical Chinese industries, i.e., power generating, chemical/petroleum, electrical/electronic and automobile, to evaluate their perceived green supply chain management (GSCM) practices and relate them to...