Labour-saving heuristics in green patents: A natural language processing analysis

IF 6.6 2区 经济学 Q1 ECOLOGY Ecological Economics Pub Date : 2024-12-14 DOI:10.1016/j.ecolecon.2024.108497
Tommaso Rughi, Jacopo Staccioli, Maria Enrica Virgillito
{"title":"Labour-saving heuristics in green patents: A natural language processing analysis","authors":"Tommaso Rughi, Jacopo Staccioli, Maria Enrica Virgillito","doi":"10.1016/j.ecolecon.2024.108497","DOIUrl":null,"url":null,"abstract":"This paper provides a direct understanding of the labour-saving threats embedded in decarbonisation pathways. It starts with a mapping of the technological innovations characterised by both climate change mitigation/adaptation (green) and labour-saving attributes. To accomplish this, we draw on the universe of patent grants in the USPTO since 1976 to 2021 reporting the Y02-Y04S tagging scheme and we identify those patents embedding an explicit labour-saving heuristic via a dependency parsing algorithm. We characterise their technological, sectoral and time evolution. Finally, after constructing an index of sectoral penetration of LS and non-LS green patents, we explore its correlation with employment share growth at the state level in the US. Our evidence shows that employment shares in sectors characterised by a higher exposure to LS (non-LS) technologies present an overall negative (positive) growth dynamics.","PeriodicalId":51021,"journal":{"name":"Ecological Economics","volume":"242 1","pages":""},"PeriodicalIF":6.6000,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.ecolecon.2024.108497","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

This paper provides a direct understanding of the labour-saving threats embedded in decarbonisation pathways. It starts with a mapping of the technological innovations characterised by both climate change mitigation/adaptation (green) and labour-saving attributes. To accomplish this, we draw on the universe of patent grants in the USPTO since 1976 to 2021 reporting the Y02-Y04S tagging scheme and we identify those patents embedding an explicit labour-saving heuristic via a dependency parsing algorithm. We characterise their technological, sectoral and time evolution. Finally, after constructing an index of sectoral penetration of LS and non-LS green patents, we explore its correlation with employment share growth at the state level in the US. Our evidence shows that employment shares in sectors characterised by a higher exposure to LS (non-LS) technologies present an overall negative (positive) growth dynamics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
本文提供了对去碳化途径中蕴含的节省劳动力威胁的直接理解。本文首先描绘了同时具有减缓/适应气候变化(绿色)和节省劳动力属性的技术创新。为此,我们利用了美国专利商标局自 1976 年至 2021 年报告 Y02-Y04S 标记方案的专利授权范围,并通过依赖性解析算法识别出那些包含明确的节省劳动力启发式的专利。我们描述了这些专利的技术、部门和时间演变特征。最后,在构建了 LS 和非 LS 绿色专利的行业渗透指数后,我们探讨了其与美国各州就业份额增长的相关性。我们的研究结果表明,在较多接触 LS(非 LS)技术的行业中,就业份额呈现出总体负(正)增长态势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Ecological Economics
Ecological Economics 环境科学-环境科学
CiteScore
12.00
自引率
5.70%
发文量
313
审稿时长
6 months
期刊介绍: Ecological Economics is concerned with extending and integrating the understanding of the interfaces and interplay between "nature''s household" (ecosystems) and "humanity''s household" (the economy). Ecological economics is an interdisciplinary field defined by a set of concrete problems or challenges related to governing economic activity in a way that promotes human well-being, sustainability, and justice. The journal thus emphasizes critical work that draws on and integrates elements of ecological science, economics, and the analysis of values, behaviors, cultural practices, institutional structures, and societal dynamics. The journal is transdisciplinary in spirit and methodologically open, drawing on the insights offered by a variety of intellectual traditions, and appealing to a diverse readership. Specific research areas covered include: valuation of natural resources, sustainable agriculture and development, ecologically integrated technology, integrated ecologic-economic modelling at scales from local to regional to global, implications of thermodynamics for economics and ecology, renewable resource management and conservation, critical assessments of the basic assumptions underlying current economic and ecological paradigms and the implications of alternative assumptions, economic and ecological consequences of genetically engineered organisms, and gene pool inventory and management, alternative principles for valuing natural wealth, integrating natural resources and environmental services into national income and wealth accounts, methods of implementing efficient environmental policies, case studies of economic-ecologic conflict or harmony, etc. New issues in this area are rapidly emerging and will find a ready forum in Ecological Economics.
期刊最新文献
Conservation auctions for landscape-scale environmental management: Does spatial configuration matter for economic and ecological outcomes? Economic valuation of groundwater over-exploitation in the Maghreb The rise and fall of neoliberalism: Evidences from an ecological and regulationist analysis of France (1960–2020) Towards a sustainable mobility lifestyle: Exploring the flight to rail shift through model-based behavioural change scenarios Multiple hazards and residential rents in Switzerland: Who pays the price of extreme natural events?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1