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Effects of emission trading schemes on corporate carbon productivity and implications for firm-level responses.
Jung, Hail; Song, Seyeong; Ahn, Young-Hwan; Hwang, Ha; Song, Chang-Keun.
Afiliação
  • Jung H; Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
  • Song S; Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea.
  • Ahn YH; Sookmyung Women's University, Seoul, 04310, Republic of Korea.
  • Hwang H; The Korea Institute of Public Administration, Seoul, 03367, Republic of Korea.
  • Song CK; Ulsan National Institute of Science and Technology, Ulsan, 44919, Republic of Korea. cksong@unist.ac.kr.
Sci Rep ; 11(1): 11679, 2021 06 03.
Article em En | MEDLINE | ID: mdl-34083656
Since the South Korean government enacted the Emission Trading Scheme (ETS), companies have been striving to simultaneously improve productivity and reduce carbon emissions, which represent conflicting goals. We used firm-level emissions and corporate variables to investigate how ETS enactment has affected carbon productivity, which is a firm-level revenue created per unit of carbon emission. Results showed that firm-level carbon productivity increased significantly under the ETS, and such a trend was more evident for high-emission industries. We also found that companies with high carbon productivity were (1) profitable, (2) innovative, and (3) managed by CEOs with experience in environmental fields. These findings suggest that to achieve the conflicting goals of increasing corporate profits while reducing emissions, firms have to invest in green technologies, and such decisions are supported by green leadership. Our findings also have implications for corporate leadership; data highlight the importance of managing human resources and deploying investment policies to respond to ETS.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article
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