亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Digital technologies and eco-innovation. Evidence of the twin transition from Italian firms

产业组织 业务 生产(经济) 样品(材料) 新兴技术 工作(物理) 营销 商业 经济 微观经济学 计算机科学 工程类 色谱法 机械工程 人工智能 化学
作者
Sandro Montresor,Antonio Vezzani
出处
期刊:Industry and Innovation [Taylor & Francis]
卷期号:30 (7): 766-800 被引量:37
标识
DOI:10.1080/13662716.2023.2213179
摘要

ABSTRACTABSTRACTThis paper investigates how the twin transition (digital & green) unfolds within firms by relating investments in digital technologies to the propensity of eco-innovating production processes and models. Drawing on a heterogeneous theoretical background, digital technologies can be hypothesised to enable eco-innovation across the board. However, a greater eco-innovation impact is expected from Artificial Intelligence and from bundling digital investments. Using the new Permanent Census of Firms of the Italian National Statistical Office, these hypotheses are tested on a large sample of more than 150,000 firms. Results confirm that the contribution of digital technologies to a firm's eco-innovation is mainly driven by investments in AI application areas, while investments in other digital technologies work more selectively. Moreover, new eco-innovative production processes and models benefit from bundling investments in different digital technologies, but with differences among firms of different size.KEYWORDS: Twin transitiondigital technologieseco-innovationartificial intelligenceIndustry 4.0JEL CODES: 030O32Q55Q57 AcknowledgementsThe data used in this work are from ISTAT sources and related to the survey: 'Censimento permanente delle Imprese' The elaborations were performed at the Laboratory for the Analysis of Elementary Data (ADELE) of ISTAT and in compliance with the legislation on the protection of statistical confidentiality and the protection of personal data. The results and opinions expressed are the sole responsibility of the authors and do not constitute official statistics. Where not expressly mentioned, the analyses are performed without using sample (population) weights.Disclosure statementNo potential conflict of interest was reported by the authors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
冰魂应助我爱科研采纳,获得20
2秒前
3秒前
李新光完成签到 ,获得积分10
5秒前
6秒前
8秒前
研友_nER2JZ发布了新的文献求助200
9秒前
cindy完成签到,获得积分10
12秒前
科研通AI5应助毛不二采纳,获得10
13秒前
研友_Lw43on发布了新的文献求助10
13秒前
QiongYin_123完成签到 ,获得积分10
16秒前
17秒前
Vincent1990完成签到,获得积分10
18秒前
MechaniKer发布了新的文献求助10
20秒前
研友_5Y9Z75完成签到 ,获得积分0
24秒前
矮小的向雪完成签到 ,获得积分10
24秒前
26秒前
26秒前
怡然的友容完成签到,获得积分10
30秒前
33秒前
打打应助李李采纳,获得10
35秒前
zgx完成签到 ,获得积分10
35秒前
MechaniKer完成签到,获得积分10
38秒前
毛不二发布了新的文献求助10
39秒前
wanci应助科研通管家采纳,获得10
39秒前
七慕凉完成签到,获得积分10
41秒前
肉脸小鱼完成签到 ,获得积分10
43秒前
52秒前
Vicki完成签到,获得积分20
53秒前
54秒前
CipherSage应助精明的眼神采纳,获得10
58秒前
1分钟前
熊一只发布了新的文献求助10
1分钟前
1分钟前
shimhjy应助机灵柚子采纳,获得20
1分钟前
脑洞疼应助Vicki采纳,获得30
1分钟前
LiuChuannan完成签到 ,获得积分10
1分钟前
1分钟前
osel完成签到,获得积分10
1分钟前
李李发布了新的文献求助10
1分钟前
丘比特应助熊一只采纳,获得10
1分钟前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Introduction to Strong Mixing Conditions Volumes 1-3 500
Tip60 complex regulates eggshell formation and oviposition in the white-backed planthopper, providing effective targets for pest control 400
Optical and electric properties of monocrystalline synthetic diamond irradiated by neutrons 320
共融服務學習指南 300
Essentials of Pharmacoeconomics: Health Economics and Outcomes Research 3rd Edition. by Karen Rascati 300
Peking Blues // Liao San 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3800880
求助须知:如何正确求助?哪些是违规求助? 3346386
关于积分的说明 10329180
捐赠科研通 3062834
什么是DOI,文献DOI怎么找? 1681207
邀请新用户注册赠送积分活动 807462
科研通“疑难数据库(出版商)”最低求助积分说明 763702