Investigating the effect of carbon tax on sharing network participation

Purpose - The purpose of this paper is to investigate the effect of current carbon tax (CT) policy on organizations involved in a sharing network relation. Design/methodology/approach - For finding the Cr and economic value of the industries connected in a sharing network model a multi-objective multi-integer linear model has been formulated. The data set of the case organization is used for computation. The formulated mathematical model is computed with the aid of GAMS optimization program. Findings - This research paper demonstrates the effectiveness of the sharing network strategy in increasing the economic value and decreasing the Cr for industries involved in sharing network. The Cr value INIR 3,012.694 for the industries in Scenario II which incorporates the sharing network is less than the Cr MR 3,580.167 for industries in Scenario I without sharing network. Research limitations/implications - The data used for the computation is based on a particular sharing network under investigation. The formulated mathematical model can be checked with similar sharing networks by varying the parameters. Practical implications - This work can aid in gaining complete knowledge on the sharing network strategy which can uplift the resources and the monetary value of the non-efficient industries moving them towards sustainable and greener supply chain practices. Social implications - The presented work can impact various industries in developing countries providing them with a strategy to enhance their resources and economic value by maintaining an amicable relation. Originality/value - This work uniquely was able to validate economic feasibility and Cr in accordance with the carbon footprint involved in sharing network. This sharing network also incorporates the concepts of circular economy and reverse logistics for showcasing a better strategy.