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Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China

Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the impact of artificial intelligence on the energy effic...

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Detalles Bibliográficos
Autores principales: Liu, Jun, Qian, Yu, Yang, Yuanjun, Yang, Zhidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871889/
https://www.ncbi.nlm.nih.gov/pubmed/35206280
http://dx.doi.org/10.3390/ijerph19042091
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author Liu, Jun
Qian, Yu
Yang, Yuanjun
Yang, Zhidan
author_facet Liu, Jun
Qian, Yu
Yang, Yuanjun
Yang, Zhidan
author_sort Liu, Jun
collection PubMed
description Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the impact of artificial intelligence on the energy efficiency of manufacturing enterprises. The results show that: (1) artificial intelligence, as measured by the use of industrial robots, has significantly improved the energy efficiency of manufacturing enterprises. This conclusion is still robust after introducing data on industrial robots in the United States over the same time period as the instrumental variable for the endogeneity test. (2) The mechanism test shows that artificial intelligence mainly promotes the improvement in energy efficiency by promoting technological progress; the impact of artificial intelligence on the technological efficiency of enterprises is not significant. (3) Heterogeneity analysis shows that the age of the manufacturing enterprises inhibits a promoting effect of artificial intelligence on energy efficiency; manufacturing enterprises’ performance can enhance the promoting effect of artificial intelligence on energy efficiency, but this promoting effect can only be shown when the enterprise performance is positive. The paper clarifies both the impact of artificial intelligence on the energy efficiency of manufacturing enterprises and its mechanism of action; this will help provide a reference for future decision-making designed to improve manufacturing enterprises’ energy efficiency.
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spelling pubmed-88718892022-02-25 Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China Liu, Jun Qian, Yu Yang, Yuanjun Yang, Zhidan Int J Environ Res Public Health Article Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the impact of artificial intelligence on the energy efficiency of manufacturing enterprises. The results show that: (1) artificial intelligence, as measured by the use of industrial robots, has significantly improved the energy efficiency of manufacturing enterprises. This conclusion is still robust after introducing data on industrial robots in the United States over the same time period as the instrumental variable for the endogeneity test. (2) The mechanism test shows that artificial intelligence mainly promotes the improvement in energy efficiency by promoting technological progress; the impact of artificial intelligence on the technological efficiency of enterprises is not significant. (3) Heterogeneity analysis shows that the age of the manufacturing enterprises inhibits a promoting effect of artificial intelligence on energy efficiency; manufacturing enterprises’ performance can enhance the promoting effect of artificial intelligence on energy efficiency, but this promoting effect can only be shown when the enterprise performance is positive. The paper clarifies both the impact of artificial intelligence on the energy efficiency of manufacturing enterprises and its mechanism of action; this will help provide a reference for future decision-making designed to improve manufacturing enterprises’ energy efficiency. MDPI 2022-02-13 /pmc/articles/PMC8871889/ /pubmed/35206280 http://dx.doi.org/10.3390/ijerph19042091 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Jun
Qian, Yu
Yang, Yuanjun
Yang, Zhidan
Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title_full Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title_fullStr Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title_full_unstemmed Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title_short Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
title_sort can artificial intelligence improve the energy efficiency of manufacturing companies? evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871889/
https://www.ncbi.nlm.nih.gov/pubmed/35206280
http://dx.doi.org/10.3390/ijerph19042091
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