• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

欧洲地区“绿色”与数字“双转型”的环境影响。

The environmental effects of the "twin" green and digital transition in European regions.

作者信息

Bianchini Stefano, Damioli Giacomo, Ghisetti Claudia

机构信息

BETA, Université de Strasbourg, Strasbourg, France.

Joint Research Centre, European Commission, Ispra, Italy.

出版信息

Environ Resour Econ (Dordr). 2023;84(4):877-918. doi: 10.1007/s10640-022-00741-7. Epub 2022 Dec 9.

DOI:10.1007/s10640-022-00741-7
PMID:36532702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9734596/
Abstract

This study explores the nexus between digital and green transformations-the so-called "twin" transition-in European regions in an effort to identify the impact of digital and environmental technologies on the greenhouse gas (GHG) emissions originating from industrial production. We conduct an empirical analysis based on an original dataset that combines information on environmental and digital patent applications with information on GHG emissions from highly polluting plants for the period 2007-2016 at the metropolitan region level in the European Union and the UK. Results show that the local development of environmental technologies reduces GHG emissions, while the local development of digital technologies increases them, albeit in the latter case different technologies seem to have different impacts on the environment, with big data and computing infrastructures being the most detrimental. We also find differential impacts across regions depending on local endowment levels of the respective technologies: the beneficial effect of environmental technologies is stronger in regions with large digital technology endowments and, conversely, the detrimental effect of digital technologies is weaker in regions with large green technology endowments. Policy actions promoting the "twin" transition should take this evidence into account, in light of the potential downside of the digital transformation when not combined with the green transformation.

摘要

本研究探讨了欧洲地区数字转型与绿色转型(即所谓的“双重”转型)之间的联系,旨在确定数字技术和环境技术对工业生产产生的温室气体(GHG)排放的影响。我们基于一个原始数据集进行了实证分析,该数据集将环境和数字专利申请信息与2007年至2016年期间欧盟和英国大都市地区高污染工厂的温室气体排放信息相结合。结果表明,环境技术的本地发展减少了温室气体排放,而数字技术的本地发展增加了排放,尽管在后一种情况下,不同的技术似乎对环境有不同的影响,大数据和计算基础设施的影响最为不利。我们还发现,根据各地区相应技术的本地禀赋水平,影响存在差异:在数字技术禀赋较高的地区,环境技术的有益影响更强;相反,在绿色技术禀赋较高的地区,数字技术的不利影响较弱。鉴于数字转型在未与绿色转型相结合时可能存在的负面影响,促进“双重”转型的政策行动应考虑到这一证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/2667670509ae/10640_2022_741_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/166631bf3120/10640_2022_741_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/ef612221bea3/10640_2022_741_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/c743ae976e97/10640_2022_741_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/96d8e7bb6877/10640_2022_741_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/270b2aa44124/10640_2022_741_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/52a898fa98a7/10640_2022_741_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/631dca13021c/10640_2022_741_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/e556dd2f3947/10640_2022_741_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/2667670509ae/10640_2022_741_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/166631bf3120/10640_2022_741_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/ef612221bea3/10640_2022_741_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/c743ae976e97/10640_2022_741_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/96d8e7bb6877/10640_2022_741_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/270b2aa44124/10640_2022_741_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/52a898fa98a7/10640_2022_741_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/631dca13021c/10640_2022_741_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/e556dd2f3947/10640_2022_741_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4015/9734596/2667670509ae/10640_2022_741_Fig9_HTML.jpg

相似文献

1
The environmental effects of the "twin" green and digital transition in European regions.欧洲地区“绿色”与数字“双转型”的环境影响。
Environ Resour Econ (Dordr). 2023;84(4):877-918. doi: 10.1007/s10640-022-00741-7. Epub 2022 Dec 9.
2
Asymmetric role of green energy, innovation, and technology in mitigating greenhouse gas emissions: evidence from India.绿色能源、创新和技术在缓解温室气体排放方面的非对称作用:来自印度的证据。
Environ Sci Pollut Res Int. 2024 Mar;31(15):23146-23161. doi: 10.1007/s11356-024-32582-w. Epub 2024 Feb 28.
3
Is smart carbon emission reduction justified in China? Evidence from national big data comprehensive pilot zones.中国的智能碳减排是否合理?来自国家大数据综合试验区的证据。
Heliyon. 2023 Jun 28;9(7):e17744. doi: 10.1016/j.heliyon.2023.e17744. eCollection 2023 Jul.
4
The Minderoo-Monaco Commission on Plastics and Human Health.美诺集团-摩纳哥基金会塑料与人体健康委员会
Ann Glob Health. 2023 Mar 21;89(1):23. doi: 10.5334/aogh.4056. eCollection 2023.
5
Can Digital Finance Promote Peak Carbon Dioxide Emissions? Evidence from China.数字金融能否促进二氧化碳排放峰值?来自中国的证据。
Int J Environ Res Public Health. 2022 Nov 1;19(21):14276. doi: 10.3390/ijerph192114276.
6
Mitigating the environmental impacts of milk production via anaerobic digestion of manure: case study of a dairy farm in the Po Valley.通过粪污厌氧消化缓解牛奶生产的环境影响:以波河谷的一个奶牛场为例。
Sci Total Environ. 2014 May 15;481:196-208. doi: 10.1016/j.scitotenv.2014.02.038. Epub 2014 Mar 2.
7
Can Digital Financial Inclusion Promote Green Innovation in Heavily Polluting Companies?数字金融包容性能否促进重污染企业的绿色创新?
Int J Environ Res Public Health. 2022 Jun 15;19(12):7323. doi: 10.3390/ijerph19127323.
8
A Longitudinal Analysis of the Impact of Digital Technologies on Sustainable Food Production and Consumption in the European Union.数字技术对欧盟可持续粮食生产和消费影响的纵向分析
Foods. 2024 Apr 22;13(8):1281. doi: 10.3390/foods13081281.
9
The impact of digital transformation on green total factor productivity of heavily polluting enterprises.数字转型对重污染企业绿色全要素生产率的影响
Front Psychol. 2023 Nov 3;14:1265391. doi: 10.3389/fpsyg.2023.1265391. eCollection 2023.
10
The 2023 Latin America report of the Countdown on health and climate change: the imperative for health-centred climate-resilient development.《2023年健康与气候变化倒计时拉丁美洲报告:以健康为中心的气候适应型发展的必要性》
Lancet Reg Health Am. 2024 Apr 23;33:100746. doi: 10.1016/j.lana.2024.100746. eCollection 2024 May.

引用本文的文献

1
Impact of computing infrastructure on carbon emissions in China.计算基础设施对中国碳排放的影响。
Sci Rep. 2024 Nov 30;14(1):29814. doi: 10.1038/s41598-024-81677-4.
2
Institutional Quality in Green and Digital Transition of EU Regions - A Recovery and Resilience Analysis.欧盟地区绿色与数字转型中的制度质量——一项复苏与韧性分析
Glob Chall. 2024 Aug 20;8(9):2400031. doi: 10.1002/gch2.202400031. eCollection 2024 Sep.
3
Influence of blockchain and artificial intelligence on audit quality: Evidence from Turkey.区块链和人工智能对审计质量的影响:来自土耳其的证据。

本文引用的文献

1
Do energy technology innovations contribute to CO emissions abatement? A spatial perspective.能源技术创新是否有助于减少 CO 排放?空间视角。
Sci Total Environ. 2020 Jul 15;726:138574. doi: 10.1016/j.scitotenv.2020.138574. Epub 2020 Apr 11.
2
Exploring the impact of innovation, renewable energy consumption, and income on CO2 emissions: new evidence from the BRICS economies.探讨创新、可再生能源消费和收入对二氧化碳排放的影响:来自金砖国家经济体的新证据。
Environ Sci Pollut Res Int. 2020 Apr;27(12):13866-13881. doi: 10.1007/s11356-020-07876-4. Epub 2020 Feb 8.
3
The role of artificial intelligence in achieving the Sustainable Development Goals.
Heliyon. 2024 Apr 27;10(9):e30166. doi: 10.1016/j.heliyon.2024.e30166. eCollection 2024 May 15.
4
Research and innovation paving the way for climate neutrality in urban transport: Analysis of 362 cities on their journey to zero emissions.研究与创新为城市交通的气候中和铺平道路:对362个城市实现零排放征程的分析。
Transp Policy (Oxf). 2024 Mar;148:107-123. doi: 10.1016/j.tranpol.2024.01.008.
人工智能在实现可持续发展目标中的作用。
Nat Commun. 2020 Jan 13;11(1):233. doi: 10.1038/s41467-019-14108-y.
4
Domestic R&D, technology acquisition, technology assimilation and China's industrial carbon intensity: Evidence from a dynamic panel threshold model.国内研发、技术获取、技术同化与中国工业碳强度:基于动态面板门槛模型的证据。
Sci Total Environ. 2019 Nov 25;693:133436. doi: 10.1016/j.scitotenv.2019.07.242. Epub 2019 Jul 27.
5
Different impacts of export and import on carbon emissions across 7 ASEAN countries: A panel quantile regression approach.东盟7国进出口对碳排放的不同影响:面板分位数回归方法
Sci Total Environ. 2019 Oct 10;686:1019-1029. doi: 10.1016/j.scitotenv.2019.06.019. Epub 2019 Jun 6.
6
The role of renewable energy technological innovation on climate change: Empirical evidence from China.可再生能源技术创新对气候变化的作用:来自中国的实证证据。
Sci Total Environ. 2019 Apr 1;659:1505-1512. doi: 10.1016/j.scitotenv.2018.12.449. Epub 2019 Jan 2.
7
Spatial econometric analysis of carbon emission intensity in Chinese provinces from the perspective of innovation-driven.从创新驱动视角对中国各省碳排放量强度的空间计量分析。
Environ Sci Pollut Res Int. 2019 May;26(14):13878-13895. doi: 10.1007/s11356-019-04131-3. Epub 2019 Jan 15.
8
How to stop data centres from gobbling up the world's electricity.如何阻止数据中心消耗全球电力。
Nature. 2018 Sep;561(7722):163-166. doi: 10.1038/d41586-018-06610-y.
9
Deep learning for biology.用于生物学的深度学习
Nature. 2018 Feb 22;554(7693):555-557. doi: 10.1038/d41586-018-02174-z.
10
What can machine learning do? Workforce implications.机器学习能做什么?对劳动力的影响。
Science. 2017 Dec 22;358(6370):1530-1534. doi: 10.1126/science.aap8062.