An Optimal Energy Efficiency Investment and Product Pricing Strategy in a Two-Market Framework

Energy efficiency (EE) level has become an essential environmental index of products and can be improved by EE innovation. With consideration of EE level evolution and market differentiation, an optimal control model under a two-market framework is proposed to investigate EE innovation and two-stage pricing strategies. Impacts of consumer environmental awareness (CEA) and EE standard on optimal investment and pricing strategies are discussed. Results indicate that environmental awareness and standard result in strategy shift. As environmental awareness increases, the EE level driven by investment strategy may switch from staying in traditional market, to expanding markets by entering the green market and remaining at the standard, till capturing the green market and keeping above that standard. Impacts of standard on strategy shift exhibit a tricky trend. For loose and appropriate standards, the producer prefers to invest more to expand market by entering the green market with the increase of standard. However, a stringent standard may prevent the producer from entering the green market. In addition, optimal prices in both stages are positively impacted by the CEA and the standard.

[1]  Suresh P. Sethi,et al.  Deterministic and Stochastic Optimization of a Dynamic Advertising Model , 1982 .

[2]  A. Hadj-Alouane,et al.  Optimization of manufacturing systems under environmental considerations for a greenness-dependent demand , 2014 .

[3]  Chialin Chen,et al.  Design for the Environment: A Quality-Based Model for Green Product Development , 2001, Manag. Sci..

[4]  Ata Allah Taleizadeh,et al.  The Effect of Marketing Effort on Dual-Channel Closed-Loop Supply Chain Systems , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Tsan-Ming Choi,et al.  Price Wall or War: The Pricing Strategies for Retailers , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  Gang Xie,et al.  Modeling decision processes of a green supply chain with regulation on energy saving level , 2015, Comput. Oper. Res..

[7]  Wansheng Tang,et al.  Pricing, service and preservation technology investments policy for deteriorating items under common resource constraints , 2016, Comput. Ind. Eng..

[8]  Zugang Liu,et al.  Consumer environmental awareness and competition in two-stage supply chains , 2012, Eur. J. Oper. Res..

[9]  Venkata L. Raju Chinthalapati,et al.  Learning dynamic prices in MultiSeller electronic retail markets with price sensitive customers, stochastic demands, and inventory replenishments , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[10]  Tsan-Ming Choi,et al.  Competitive Capacity and Price Decisions for Two Build-to-Order Manufacturers Facing Time-Dependent Demands , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[11]  M. Patterson What is energy efficiency?: Concepts, indicators and methodological issues , 1996 .

[12]  Jitesh H. Panchal,et al.  Decision-Making in Energy Systems With Multiple Technologies and Uncertain Preferences , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

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

[14]  Andrea Mantovani,et al.  Process and product innovation by a multiproduct monopolist: A dynamic approach , 2009 .

[15]  Régis Chenavaz,et al.  Dynamic pricing, product and process innovation , 2012, Eur. J. Oper. Res..

[16]  Zhi-Yu Xu,et al.  Virtual Power Plant-Based Pricing Control for Wind/Thermal Cooperated Generation in China , 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[17]  Charles J. Corbett,et al.  Shared-Savings Contracts for Indirect Materials in Supply Chains: Channel Profits and Environmental Impacts , 2001, Manag. Sci..

[18]  Kanako Tanaka,et al.  Review of policies and measures for energy efficiency in industry sector , 2011 .

[19]  Andreas Löschel,et al.  EU climate policy up to 2020: An economic impact assessment , 2009 .

[20]  Joseph Sarkis A STRATEGIC DECISION FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT , 2003 .

[21]  Haitao Yin,et al.  Net private benefits of purchasing eco-labeled air conditioners and subsidization policies in China , 2014 .

[22]  Jianxin You,et al.  Production , Manufacturing and Logistics Consumer environmental awareness and channel coordination with two substitutable products , 2014 .

[23]  Wei-yu Kevin Chiang,et al.  Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution , 2012, Manuf. Serv. Oper. Manag..

[24]  Janat Shah,et al.  A comparative analysis of greening policies across supply chain structures , 2012 .

[25]  Stephan Biller,et al.  Market Demand Oriented Data-Driven Modeling for Dynamic Manufacturing System Control , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[26]  Zeyi Sun,et al.  Dynamic Energy Control for Energy Efficiency Improvement of Sustainable Manufacturing Systems Using Markov Decision Process , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[27]  Anna Nagurney,et al.  Sustainable supply chain network design: a multicriteria perspective , 2010 .

[28]  Michael Siegrist,et al.  The misleading effect of energy efficiency information on perceived energy friendliness of electric goods , 2015 .

[29]  G. Thompson,et al.  Optimal Control Theory: Applications to Management Science and Economics , 2000 .

[30]  Lei Zhang,et al.  Market segmentation and willingness to pay for green electricity among urban residents in China: The case of Jiangsu Province , 2012 .

[31]  Philippine de T’Serclaes,et al.  The 25 IEA energy efficiency policy recommendations to the G8 Gleneagles Plan of Action , 2010 .

[32]  Zhi-You Wu,et al.  Hidden Convex Minimization , 2005, J. Glob. Optim..