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Carbon Emission Reduction and Pricing Strategies of Supply Chain under Various Demand Forecasting Scenarios

Juanjuan Qin (), Liguo Ren () and Liangjie Xia
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Juanjuan Qin: School of Business, Tianjin University of Finance and Economics, Tianjin 300222, P. R. China
Liguo Ren: School of Business, Tianjin University of Finance and Economics, Tianjin 300222, P. R. China
Liangjie Xia: School of Business, Tianjin University of Finance and Economics, Tianjin 300222, P. R. China

Asia-Pacific Journal of Operational Research (APJOR), 2017, vol. 34, issue 01, 1-27

Abstract: This study incorporates consumer’s low carbon awareness (CLA) and demand forecasting into supply chains that adopt the cap-and-trade system. Three demand forecasting scenarios are discussed, namely, information sharing, full information sharing, and retailer-only forecasting. Strategies for pricing and reduction of equilibrium of carbon emission are derived. We also compare the decisions and profits in the three cases and present numerical analysis.

Keywords: Cap-and-trade; consumer’s low carbon awareness; demand forecasting (search for similar items in EconPapers)
Date: 2017
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