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空气污染、水污染与机器人:技术是万灵药吗?

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

作者信息

Song Jian, Chen Yang, Luan Fushu

机构信息

School of Economics, Nanjing Audit University, China.

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

出版信息

J Environ Manage. 2023 Mar 15;330:117170. doi: 10.1016/j.jenvman.2022.117170. Epub 2022 Dec 30.

Abstract

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.

摘要

工业化导致的生态环境退化给政策制定者带来了重大挑战,因为他们的目标是实现可持续发展。有没有办法在工业增长和环境可持续性之间取得平衡?为了回答这个紧迫的问题,我们构建了一个微观层面的纵向数据集,其中包含2000年至2013年期间的41419家公司和148877条观测数据,以便在企业密切追随自动化和智能化最新技术趋势的情况下,对环境影响有更细致的了解。我们的研究结果有力地支持了企业将自主和智能技术用作应对更严格环境法规的环境管理策略,同时对于“技术万能”这一观点必须谨慎看待。机器人采用水平的提高以生产力变化、过程变化和末端治理干预为媒介,以集约形式促进了污染减排。对生产力效应的进一步分解表明,废气排放强度的下降是由于总产出增加和空气污染水平下降。相比之下,废水排放强度的下降是因为总产出的增加超过了水污染水平的上升。此外,异质性分析为指导环境管理实践提供了丰富的启示。

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