Air pollution, water pollution, and robots: Is technology the panacea.


Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
15 Mar 2023
Historique:
received: 23 10 2022
revised: 17 12 2022
accepted: 26 12 2022
pubmed: 1 1 2023
medline: 2 2 2023
entrez: 31 12 2022
Statut: ppublish

Résumé

The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this pressing question, we constructed a micro-level longitudinal dataset containing 41,419 firms with 148,877 observations during 2000-2013 to develop a fine-grained understanding of the environmental implications as firms closely follow the recent technology trend in automation and intelligence. Our findings strongly support business environmental management strategies of using autonomous and intelligent technologies as a response to more rigorous environmental regulations, while caution has to be made on the notion that "technology is everything." The increasing level of robot adoption contributes to pollution abatement in an intensive form mediated by productivity change, change-in-process, and end-of-pipe interventions. A further decomposition of the productivity effect implies that the drop in the emission intensity of the exhaust gas is due to the rise in total outputs and the decline in air pollution level. In contrast, the drop in the emission intensity for exhaust water is because of the rise of total outputs exceeding the rise of water pollution level. Furthermore, the heterogeneity analyses provide rich implications to guide environmental management practices.

Identifiants

pubmed: 36586364
pii: S0301-4797(22)02743-8
doi: 10.1016/j.jenvman.2022.117170
pii:
doi:

Substances chimiques

Vehicle Emissions 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117170

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jian Song (J)

School of Economics, Nanjing Audit University, China.

Yang Chen (Y)

International Business School Suzhou, Xi'an Jiaotong-Liverpool University, China.

Fushu Luan (F)

School of Economics, Nanjing Audit University, China. Electronic address: fushu.luan@nau.edu.cn.

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