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Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization.
Zheng, Haoxuan; Li, Xingwei; Zhu, Xiaowen; Huang, Yicheng; Liu, Zhili; Liu, Yuxin; Liu, Jiaxin; Li, Xiangye; Li, Yuejia; Li, Chunhui.
Afiliação
  • Zheng H; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Li X; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Zhu X; School of Management, Jiangsu University, Zhenjiang 212013, China.
  • Huang Y; Centre for Design, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK.
  • Liu Z; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Liu Y; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Liu J; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Li X; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Li Y; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
  • Li C; College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China.
Article em En | MEDLINE | ID: mdl-35409554
ABSTRACT
In recent years, the generation of a large amount of construction and demolition waste (CDW) has threatened the public environment and human health. The inefficient supply chain of CDW resource utilization hinders the green development of countries around the world, including China. This study aims to reveal the impact of information sharing regarding recyclers' market demand forecast on the performance of CDW resource utilization supply chains. Therefore, this paper uses the incomplete information dynamic game method to establish and solve the decision-making model of the construction and demolition waste resource utilization supply chain under the conditions of recyclers sharing and not sharing their information. The paper then obtains the Bayesian equilibrium solution and the optimal expected profit for each party. Finally, a numerical simulation was used in order to verify the validity of the model and conclusions. The main conclusions are as follows. In the CDW resource utilization supply chain, if the recycler is more pessimistic about the market's demand forecast, their information sharing makes the remanufacturer more motivated to improve their level of environmental responsibility. In addition, information sharing by recyclers is always beneficial in increasing the profit of the remanufacturer, but it also may make the recycler lose profit. When the efficiency of the environmental responsibility investment of remanufacturers is in a high range, information sharing increases the profits of recyclers. Conversely, information sharing has no significant effect on the profits of recyclers. The impact on the profits of the entire CDW resource utilization supply chain depends on the intensity of competition among channels, the market share of offline recycling channels and the efficiency of environmental responsibility investments.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Indústria da Construção / Gerenciamento de Resíduos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Indústria da Construção / Gerenciamento de Resíduos Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article