The impact of digital transformation on the total factor productivity of heavily polluting enterprises
Abstract In the digital economy, the relationship between digital transformation and a company's total factor productivity has profound implications for high-quality business development. Heavy polluters are given more environmental responsibility because of their high pollution and emission ch...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-33553-w |
| _version_ | 1797841090491973632 |
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| author | Jinqi Su Yinying Wei Shubin Wang Qilei Liu |
| author_facet | Jinqi Su Yinying Wei Shubin Wang Qilei Liu |
| author_sort | Jinqi Su |
| collection | DOAJ |
| description | Abstract In the digital economy, the relationship between digital transformation and a company's total factor productivity has profound implications for high-quality business development. Heavy polluters are given more environmental responsibility because of their high pollution and emission characteristics. This paper analyses the theoretical framework for the impact of digital transformation on the total factor productivity of heavily polluting firms. Using a sample of Shanghai and Shenzhen A-share heavy polluters from 2010 to 2020, we explore how the digital transformation of heavy polluters affects the total factor productivity of firms. The study found that the digital transformation of heavily polluting companies can effectively improve total factor productivity, internally by increasing their level of green technology innovation and externally by increasing their willingness and capacity for corporate social responsibility. At the same time, digital transformation can improve total factor productivity by reducing cost stickiness, revealing the "black box" in which digital transformation affects the total factor productivity of an enterprise. It was further found that the digital transformation of companies with high levels of environmental investment, large enterprises, those in non-manufacturing industries, and heavy polluters of a state-owned nature had a more significant impact on total factor productivity. The findings of the study provide empirical evidence for the digital transformation of heavily polluting companies to improve productivity and the green transformation of the economy for companies under the low carbon goal. |
| first_indexed | 2024-04-09T16:25:24Z |
| format | Article |
| id | doaj.art-9b7268192df44970a3f9d8b438c21d0c |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T16:25:24Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-9b7268192df44970a3f9d8b438c21d0c2023-04-23T11:15:04ZengNature PortfolioScientific Reports2045-23222023-04-0113112110.1038/s41598-023-33553-wThe impact of digital transformation on the total factor productivity of heavily polluting enterprisesJinqi Su0Yinying Wei1Shubin Wang2Qilei Liu3School of Economics and Management, Xi’an University of Posts & TelecommunicationsSchool of Economics and Management, Xi’an University of Posts & TelecommunicationsSchool of Economics and Management, Xi’an University of Posts & TelecommunicationsSchool of Economics and Management, Xi’an University of Posts & TelecommunicationsAbstract In the digital economy, the relationship between digital transformation and a company's total factor productivity has profound implications for high-quality business development. Heavy polluters are given more environmental responsibility because of their high pollution and emission characteristics. This paper analyses the theoretical framework for the impact of digital transformation on the total factor productivity of heavily polluting firms. Using a sample of Shanghai and Shenzhen A-share heavy polluters from 2010 to 2020, we explore how the digital transformation of heavy polluters affects the total factor productivity of firms. The study found that the digital transformation of heavily polluting companies can effectively improve total factor productivity, internally by increasing their level of green technology innovation and externally by increasing their willingness and capacity for corporate social responsibility. At the same time, digital transformation can improve total factor productivity by reducing cost stickiness, revealing the "black box" in which digital transformation affects the total factor productivity of an enterprise. It was further found that the digital transformation of companies with high levels of environmental investment, large enterprises, those in non-manufacturing industries, and heavy polluters of a state-owned nature had a more significant impact on total factor productivity. The findings of the study provide empirical evidence for the digital transformation of heavily polluting companies to improve productivity and the green transformation of the economy for companies under the low carbon goal.https://doi.org/10.1038/s41598-023-33553-w |
| spellingShingle | Jinqi Su Yinying Wei Shubin Wang Qilei Liu The impact of digital transformation on the total factor productivity of heavily polluting enterprises Scientific Reports |
| title | The impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| title_full | The impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| title_fullStr | The impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| title_full_unstemmed | The impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| title_short | The impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| title_sort | impact of digital transformation on the total factor productivity of heavily polluting enterprises |
| url | https://doi.org/10.1038/s41598-023-33553-w |
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