绿色专利和绿色代码:不同的方法如何导致不同的结果

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
Marinella Favot , Leyla Vesnic , Riccardo Priore , Andrea Bincoletto , Fabio Morea
{"title":"绿色专利和绿色代码:不同的方法如何导致不同的结果","authors":"Marinella Favot ,&nbsp;Leyla Vesnic ,&nbsp;Riccardo Priore ,&nbsp;Andrea Bincoletto ,&nbsp;Fabio Morea","doi":"10.1016/j.rcradv.2023.200132","DOIUrl":null,"url":null,"abstract":"<div><p>Green patents are valid instruments to measure eco-innovation which aims at reducing the negative impact on the environment and providing an efficient use of resources. There are three methodologies available to identify green patents based on the code classification: ENV-TECH (developed by OECD), IPC Green Inventory (WIPO) and Y02/Y04S Tagging scheme (EPO). Our results are: the systematic organisation of green codes for each methodology and the development of algorithms for their periodic update; the application of these methodologies to two large datasets; the comparison of the three methodologies. The relevant findings are that ENV-TECH and IPC Green Inventory should be used in combination to identify more green patents, with the inclusion of the \"CPC\" ENV-TECH green codes when applicable. The Tagging scheme identifies fewer green patents than the combination of the other two methodologies. The three methodologies overlap only partially (in 22.47% of cases) and their mutual integration is recommended.</p></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"18 ","pages":"Article 200132"},"PeriodicalIF":5.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Green patents and green codes: How different methodologies lead to different results\",\"authors\":\"Marinella Favot ,&nbsp;Leyla Vesnic ,&nbsp;Riccardo Priore ,&nbsp;Andrea Bincoletto ,&nbsp;Fabio Morea\",\"doi\":\"10.1016/j.rcradv.2023.200132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Green patents are valid instruments to measure eco-innovation which aims at reducing the negative impact on the environment and providing an efficient use of resources. There are three methodologies available to identify green patents based on the code classification: ENV-TECH (developed by OECD), IPC Green Inventory (WIPO) and Y02/Y04S Tagging scheme (EPO). Our results are: the systematic organisation of green codes for each methodology and the development of algorithms for their periodic update; the application of these methodologies to two large datasets; the comparison of the three methodologies. The relevant findings are that ENV-TECH and IPC Green Inventory should be used in combination to identify more green patents, with the inclusion of the \\\"CPC\\\" ENV-TECH green codes when applicable. The Tagging scheme identifies fewer green patents than the combination of the other two methodologies. The three methodologies overlap only partially (in 22.47% of cases) and their mutual integration is recommended.</p></div>\",\"PeriodicalId\":74689,\"journal\":{\"name\":\"Resources, conservation & recycling advances\",\"volume\":\"18 \",\"pages\":\"Article 200132\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resources, conservation & recycling advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667378923000044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources, conservation & recycling advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667378923000044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 3

摘要

绿色专利是衡量生态创新的有效工具,旨在减少对环境的负面影响并有效利用资源。根据代码分类,有三种方法可用于识别绿色专利:ENV-TECH(由经合组织开发)、IPC绿色清单(WIPO)和Y02/Y04S标记方案(EPO)。我们的结果是:系统地组织了每种方法的绿色代码,并开发了定期更新的算法;将这些方法应用于两个大型数据集;三种方法的比较。相关研究结果表明,ENV-TECH和IPC绿色清单应结合使用,以确定更多的绿色专利,并在适用时纳入“CPC”ENV-TECH绿色代码。与其他两种方法的结合相比,标记方案识别的绿色专利更少。这三种方法仅部分重叠(在22.47%的情况下),建议将其相互整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green patents and green codes: How different methodologies lead to different results

Green patents are valid instruments to measure eco-innovation which aims at reducing the negative impact on the environment and providing an efficient use of resources. There are three methodologies available to identify green patents based on the code classification: ENV-TECH (developed by OECD), IPC Green Inventory (WIPO) and Y02/Y04S Tagging scheme (EPO). Our results are: the systematic organisation of green codes for each methodology and the development of algorithms for their periodic update; the application of these methodologies to two large datasets; the comparison of the three methodologies. The relevant findings are that ENV-TECH and IPC Green Inventory should be used in combination to identify more green patents, with the inclusion of the "CPC" ENV-TECH green codes when applicable. The Tagging scheme identifies fewer green patents than the combination of the other two methodologies. The three methodologies overlap only partially (in 22.47% of cases) and their mutual integration is recommended.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Resources, conservation & recycling advances
Resources, conservation & recycling advances Environmental Science (General)
CiteScore
11.70
自引率
0.00%
发文量
0
审稿时长
76 days
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信