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The purpose of this study is to analyze the effect of low carbon product design on firm's competitiveness and economic performance. It also examines the mediating role of the proactive environmental strategy and eco-innovation on low carbon product design, competitiveness and economic performance.

Through a questionnaire-based survey, the data were collected from 69 Indian manufacturing firms and analyzed using a variance-based structural equation modeling (SEM) technique to test the proposed hypotheses.

The results show that the low carbon product design significantly improves firm's competitiveness and economic performance, and proactive environmental strategy significantly mediates the relationship between low carbon product design and firm's competitiveness.

This study provides a framework for the adoption of low carbon product design. It demonstrates how manufacturing firms can implement environmental friendly product design. It also analyses the contextual factors that ensure a successful low carbon product design.

This article investigates the economic benefit of low carbon product design, thus filling lacuna in existing research.

This study aims to analyze the relationships between knowledge management and co-evolvement to green product and process design and green manufacturing and logistics. Besides, this study also analyses the direct and indirect effects of corporate environmental strategy, knowledge management and co-evolvement.

The data used in this study were collected by a survey of Indian manufacturing firms and analyzed by a variance-based structural equation modeling technique to test the hypotheses.

The results suggested that knowledge management and co-evolvement have significant positive relationships to green product and process design and green manufacturing and logistics. Likewise, corporate environmental strategy has positive effects on knowledge management and co-evolvement.

Manufacturing firms should invest and deploy corporate environmental strategies to develop knowledge management and co-evolvement capability that foster green product and process design and manufacturing and logistics.

This study investigates the role of knowledge management and co-evolvement to improve green product and process design and green manufacturing and logistics. The uniqueness of this study is that it investigates novel direct and indirect relationships between corporate environmental strategy and knowledge management and co-evolvement.

The purpose of this paper is to provide an analytical model for low carbon supplier development. This study is focused on the level of investment and collaboration decisions pertaining to emission reduction.

The authors’ model includes a fuzzy c-means (FCM) clustering algorithm and a fuzzy formal concept analysis. First, a set of suppliers were classified according to their carbon performances through the FCM clustering algorithm. Then, the fuzzy formal concepts were derived from a set of fuzzy formal contexts through an intersection-based method. These fuzzy formal concepts provide the relative level of investments and collaboration decisions for each identified supplier cluster. A case from the Indian renewable energy sector was used for illustration of the proposed analytical model.

The proposed model and case illustration may help manufacturing firms to collaborate with their suppliers for improving their carbon performances.

The study contributes to the low carbon supply chain management literature by identifying the decision criteria of investments toward low carbon supplier development. It also provides an analytical model of collaboration for low carbon supplier development. Though the purpose of the study is to illustrate the proposed analytical model, it would have been better if the model was empirically validated.

Though the earlier studies on green supplier development program evaluation have considered a set of criteria to decide whether or not to invest on suppliers, these are silent on the relative level of investment required for a given set of suppliers. This study aims to fulfill this gap by providing an analytical model that will help a manufacturing firm to invest and collaborate with its suppliers for improving their carbon performance.

The purpose of this paper is to empirically examine the relationships between low carbon supply chain practices and their relationships with environmental sustainability (ES) and the economic performances (EP) of firms. The study also includes an examination of the low carbon supply chain practices that are utilized by Indian manufacturing firms.

Through a questionnaire-based survey, the data received from 83 Indian manufacturing firms was analyzed using a variance-based structural equation modeling technique to test the proposed hypotheses.

The study indicates that carbon governance is a strategic imperative for the adoption of low carbon supply chain practices. Similarly, low carbon product and process design (LCPPD), manufacturing and logistics lead to improved ES. In addition, low carbon purchasing is positively related to the adoption of LCPPD, manufacturing and logistics. No significant relationship was found between the adoption of low carbon supply chain practices and the EP of a firm.

The findings of this study may assist manufacturing managers in prioritizing operational practices for the reduction of emissions.

This study provides two major contributions to green supply chain management. First, it provides comprehensive empirical evidence on low carbon supply chain practices that are being followed by Indian manufacturing firms. Second, this study also empirically validated a structural model of low carbon supply chain practices.

The purpose of this study is to model a vehicle routing problem with integrated picking and delivery under carbon cap and trade policy. This study also provides sensitivity analyses of carbon cap and price to the total cost.

A mixed integer linear programming (MILP) model is formulated to model the vehicle routing with integrated order picking and delivery constraints. The model is then solved by using the CPLEX solver. Carbon footprint is estimated by a fuel consumption function that is dependent on two factors, distance and vehicle speed. The model is analyzed by considering 10 suppliers and 20 customers. The distance and vehicle speed data are generated using simulation with random numbers.

Significant amount of carbon footprint can be reduced through the adoption of eco-efficient vehicle routing with a marginal increase in total transportation cost. Sensitivity analysis indicates that compared to carbon cap, carbon price has more influence on the total cost.

The model considers mid-sized problem instances. To analyze large size problems, heuristics and meta-heuristics may be used.

This study provides an analysis of carbon cap and price model that would assist practitioners and policymakers in formulating their policy in the context of carbon emissions.

This study provides two significant contributions to low carbon supply chain management. First, it provides a vehicle routing model under carbon cap and trade policy. Second, it provides a sensitivity analysis of carbon cap and price in the model.

The purpose of this paper is to review the relevant literature on low carbon supply chain management (LCSCM) and classify it on contextual base. It also aims at identifying key decision-making issues in LCSCM. This paper also highlights some of the future challenges and scope of research in this domain.

A content analysis is carried out by systematically collecting the literature from major academic sources over a period of 18 years (2000-2017), identifying structural dimensions and classifying it on contextual base.

There is an increasing trend of research on LCSCM, but this research is still in a nascent stage. All supply chain functions such as supplier selection, inventory planning, network design and logistic decisions have been redefined by integrating emissions-related issues.

Limitation of this study is inherent in its unit of analysis. Only peer-reviewed journal articles published in English language have been considered in this study.

Findings of prior studies on low carbon inventory control, transportation planning, facility allocation, location selection and supply chain coordination have been highlighted in this study. This will help supply chain practitioners in decision making.

Though there are an increasing number of studies about carbon emission-related issues in supply chain management, the present literature lacks to provide a review of the overarching publications. This paper addresses this gap by providing a comprehensive review of literature on emissions-related issues in supply chain management.