Equilibrium Optimization with Multi-Energy-Efficiency-Grade Products: Government and Market Perspective

This paper studies the multi-level supply chain network equilibrium optimization problem of multi-energy-efficiency products under different government subsidies and demand scales. In the equilibrium optimization problem, manufacturers determine the production volume of the energy-saving products; retailers decide the transaction volume with manufacturers, distribution volume for markets, and marketing efforts of energy-saving products; markets determine the transaction price. Firstly, the optimal decision-making behaviors of manufacturers, retailers, and markets are described. Simultaneously, the global optimization problem is transformed into a finite-dimensional variational inequality formulation. Then, the equilibrium conditions of the whole supply chain network are derived by the Euler method. Finally, a case study verifies the effectiveness of the proposed method. Interestingly, we found that energy-saving subsidies and demand scales were negatively correlated with the marketing efforts of the subsidized retailers for high energy-efficient products and positively correlated with the marketing efforts of non-subsidized retailers for high energy-efficient products in the same market; the development of retailers in the same market tended to be consistent, and the differentiation of the demand scale eliminated the retailers without a competitive advantage.

[1]  Hao Wang,et al.  The Impact of Government Subsidies on Single-Channel Recycling Based on Recycling Propaganda , 2021, Energies.

[2]  Dongyan Chen,et al.  Dynamic model of a supply chain network with sticky price , 2020, Oper. Res..

[3]  E. Santibanez-Gonzalez,et al.  Designing an environmental supply chain network in the mining industry to reduce carbon emissions , 2020 .

[4]  M. Goh,et al.  Short- and long-term repeated game behaviours of two parallel supply chains based on government subsidy in the vehicle market , 2020, Int. J. Prod. Res..

[5]  Young Dae Ko,et al.  Redesign of reverse logistics network with managerial decisions on the minimum quality level and remanufacturing policy , 2020, J. Oper. Res. Soc..

[6]  Hao Zhang,et al.  Design investment and advertising decisions in direct-sales closed-loop supply chains , 2020 .

[7]  F. Jolai,et al.  Bioethanol supply chain network design considering land characteristics , 2020 .

[8]  Namhun Kim,et al.  A cooperative advertising collaboration policy in supply chain management under uncertain conditions , 2020, Appl. Soft Comput..

[9]  José Rui Figueira,et al.  Sustainable supply chain network design: An application to the wine industry in Southern Portugal , 2020, J. Oper. Res. Soc..

[10]  Jun Ma,et al.  A supply chain network economic model with time-based competition , 2020, Eur. J. Oper. Res..

[11]  Ahmad Makui,et al.  Forward and reverse supply chain network design for consumer medical supplies considering biological risk , 2020, Comput. Ind. Eng..

[12]  Ping He,et al.  Production and pricing decisions in a dual-channel supply chain under remanufacturing subsidy policy and carbon tax policy , 2019, J. Oper. Res. Soc..

[13]  Jiguang Chen,et al.  The government’s optimal subsidy scheme under Manufacturers’ competition of price and product energy efficiency , 2019, Omega.

[14]  Erdal Aydin,et al.  The impact of policy on residential energy consumption , 2019, Energy.

[15]  Jia Wang,et al.  Supply chain network equilibrium with strategic financial hedging using futures , 2019, Eur. J. Oper. Res..

[16]  Yi Yu-yin,et al.  The effect of governmental policies of carbon taxes and energy-saving subsidies on enterprise decisions in a two-echelon supply chain , 2018 .

[17]  Qiying Hu,et al.  Subsidizing strategies in a sustainable supply chain , 2018, J. Oper. Res. Soc..

[18]  Min Zhang,et al.  Subsidy scheme or price discount scheme? Mass adoption of electric vehicles under different market structures , 2017, Eur. J. Oper. Res..

[19]  Desheng Dash Wu,et al.  Supply chain coordination through integration of innovation effort and advertising support , 2017 .

[20]  Gongbing Bi,et al.  Environmental subsidy and the choice of green technology in the presence of green consumers , 2017, Ann. Oper. Res..

[21]  Xiang Li,et al.  On green market segmentation under subsidy regulation , 2017 .

[22]  Morteza Rasti Barzoki,et al.  Sustainable supply chain management with pricing, greening and governmental tariffs determining strategies: A game-theoretic approach , 2017, Comput. Ind. Eng..

[23]  K. Lo,et al.  Industrial Energy Consumption in Northeast China under the Revitalisation Strategy: A Decomposition and Policy Analysis , 2016 .

[24]  A. Nagurney,et al.  A General Multitiered Supply Chain Network Model of Quality Competition with Suppliers , 2015 .

[25]  Jeremy J. Michalek,et al.  Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China , 2015 .

[26]  Huiming Zhang,et al.  Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China , 2014 .

[27]  Dmitry Krass,et al.  Environmental Taxes and the Choice of Green Technology , 2013 .

[28]  Trisha D. Anderson,et al.  The closed-loop supply chain network with competition, distribution channel investment, and uncertainties , 2013 .

[29]  Anna Nagurney,et al.  Competitive Food Supply Chain Networks with Application to Fresh Produce , 2012, Eur. J. Oper. Res..

[30]  Qiang Qiang,et al.  Multi-product supply chain horizontal network integration: models, theory, and computational results , 2010, Int. Trans. Oper. Res..

[31]  Patrick Beullens,et al.  Closed-loop supply chain network equilibrium under legislation , 2007, Eur. J. Oper. Res..

[32]  Terry A. Taylor,et al.  Supply Chain Coordination Under Channel Rebates with Sales Effort Effects , 2002, Manag. Sci..

[33]  Anna Nagurney,et al.  A MULTICLASS, MULTICRITERIA TRAFFIC NETWORK EQUILIBRIUM MODEL WITH ELASTIC DEMAND , 2002 .

[34]  A. Nagurney,et al.  Projected Dynamical Systems and Variational Inequalities with Applications , 1995 .

[35]  A. Nagurney Network Economics: A Variational Inequality Approach , 1992 .

[36]  D. Wright,et al.  American Capitalism: The Concept of Countervailing Power , 1957 .

[37]  Anna Nagurney,et al.  Production , Manufacturing and Logistics A competitive multiperiod supply chain network model with freight carriers and green technology investment option , 2018 .

[38]  Jose M. Cruz,et al.  Production, Manufacturing and Logistics Supply chain networks, electronic commerce, and supply side and demand side risk , 2005 .