Your browser doesn't support javascript.
loading
Interaction between product strategy selection and the carbon quota allocation policy.
Li, Xuzhao; Lan, Xiangying; Jin, Yongbo.
Afiliação
  • Li X; China Post Group Corporation Limited Training Center, Shijiazhuang, 050021, China.
  • Lan X; China Post Group Corporation Limited Training Center, Shijiazhuang, 050021, China. XY_Lan611@163.com.
  • Jin Y; China Post Group Corporation Limited Training Center, Shijiazhuang, 050021, China.
Sci Rep ; 14(1): 22482, 2024 Sep 28.
Article em En | MEDLINE | ID: mdl-39341823
ABSTRACT
The interaction between the government's carbon reduction policy and a firm's product strategy has not been well studied in the literature. This paper considers the government's two different carbon quota allocation policies for the cap-and-trade scheme and the firm's two product strategies and investigates the interaction between them by establishing a theoretical model and deriving the optimal decisions. This paper first examines the firms' selection of low-carbon products or ordinary product strategies under the government's two carbon quota allocation policies and then studies the government's optimal carbon quota allocation policy for overall social welfare, which is based on the firm's two product strategies. Our analysis reveals that (i) when the government allocates carbon quotas aimed at reducing the firm's total carbon emissions, the firm will choose the low-carbon product strategy. When the government allocates a carbon quota aimed at optimal total social welfare, the firm's decision depends on the impact of total carbon emissions. (ii) To achieve optimal social welfare, the government will formulate different carbon quota allocation policies on the basis of firms' different product strategies.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido