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author:

Zhu, Xiaoxi (Zhu, Xiaoxi.) [1] | Chiong, Raymond (Chiong, Raymond.) [2] | Liu, Kai (Liu, Kai.) [3] | Ren, Minglun (Ren, Minglun.) [4]

Indexed by:

EI

Abstract:

External factors, such as the increasing environmental awareness among consumers and introduction of environmental regulations by governments, have stimulated manufacturers to produce new green products. Cost factors, on the other hand, encourage the continuation of older generation products and hinder the launch of new green products. To study this dilemma, we consider a single manufacturer with the ability of cost learning from the production of an older generation product, and it intends to launch a new green product. We first derive the optimal pricing and production strategies of the manufacturer based on accumulated cost learning using dynamic programming techniques. Then, we identify the threshold conditions for producing the new green product and the Pareto area that can increase both the profit of the manufacturer and surplus of consumers. For comparison purposes, we also study the impact of external regulations such as environmental taxes on the introduction of a new green product – with results suggesting that the implementation of environmental taxes promotes the accessibility of green products and reduces the Pareto area of profit and consumer surplus. We also find that, under the influence of cost learning, the introduction of new greener products and the implementation of environmental taxes serve to reduce the total environmental damage done by the manufacturer. Results of our models should provide instructive managerial insights for the introduction of new greener products. © 2020 Elsevier Inc.

Keyword:

Costs Dynamic programming Environmental regulations Green manufacturing Profitability

Community:

  • [ 1 ] [Zhu, Xiaoxi]School of Management, Hefei University of Technology, Hefei; 230009, China
  • [ 2 ] [Zhu, Xiaoxi]Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei; 230009, China
  • [ 3 ] [Chiong, Raymond]School of Electrical Engineering and Computing, The University of Newcastle, Callaghan; NSW; 2308, Australia
  • [ 4 ] [Chiong, Raymond]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Liu, Kai]School of Management, Hefei University of Technology, Hefei; 230009, China
  • [ 6 ] [Ren, Minglun]School of Management, Hefei University of Technology, Hefei; 230009, China
  • [ 7 ] [Ren, Minglun]Key Laboratory of Process Optimization and Intelligent Decision-making of Ministry of Education, Hefei; 230009, China

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Source :

Applied Mathematical Modelling

ISSN: 0307-904X

Year: 2021

Volume: 92

Page: 829-847

5 . 3 3 6

JCR@2021

4 . 4 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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