The return of industrial policy in data

Simon Evenett, Adam Jakubik, Fernando Martín, Michele Ruta
{"title":"The return of industrial policy in data","authors":"Simon Evenett, Adam Jakubik, Fernando Martín, Michele Ruta","doi":"10.1111/twec.13608","DOIUrl":null,"url":null,"abstract":"This paper introduces the New Industrial Policy Observatory (NIPO) data set and documents emergent patterns of policy intervention during 2023 associated with the return of industrial policy. The data show that the recent wave of new industrial policy activity is primarily driven by advanced economies and that subsidies are the most employed instrument. Trade restrictions on imports and exports are more frequently used by emerging market and developing economies. Strategic competitiveness is the dominant motive governments give for these measures, but other objectives such as climate change, resilience and national security are on the rise. In exploratory regressions, we find that implemented measures are correlated with the past use of measures by other governments in the same sector, pointing to the tit‐for‐tat nature of industrial policy. Furthermore, domestic political economy factors and macroeconomic conditions correlate with the use of industrial policy measures. We intend for the NIPO to be a publicly available resource to help monitor the evolution and effects of industrial policies.","PeriodicalId":75211,"journal":{"name":"The World economy","volume":"77 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The World economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/twec.13608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper introduces the New Industrial Policy Observatory (NIPO) data set and documents emergent patterns of policy intervention during 2023 associated with the return of industrial policy. The data show that the recent wave of new industrial policy activity is primarily driven by advanced economies and that subsidies are the most employed instrument. Trade restrictions on imports and exports are more frequently used by emerging market and developing economies. Strategic competitiveness is the dominant motive governments give for these measures, but other objectives such as climate change, resilience and national security are on the rise. In exploratory regressions, we find that implemented measures are correlated with the past use of measures by other governments in the same sector, pointing to the tit‐for‐tat nature of industrial policy. Furthermore, domestic political economy factors and macroeconomic conditions correlate with the use of industrial policy measures. We intend for the NIPO to be a publicly available resource to help monitor the evolution and effects of industrial policies.
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
工业政策在数据中的回归
本文介绍了新产业政策观察站(NIPO)的数据集,并记录了 2023 年期间与产业政策回归相关的政策干预新模式。数据显示,最近一波新的产业政策活动主要由发达经济体推动,补贴是使用最多的手段。新兴市场和发展中经济体更频繁地使用进出口贸易限制。战略竞争力是政府采取这些措施的主要动机,但气候变化、复原力和国家安全等其他目标也在增加。在探索性回归中,我们发现已实施的措施与其他国家政府过去在同一领域采取的措施相关,这表明产业政策具有针锋相对的性质。此外,国内政治经济因素和宏观经济条件也与产业政策措施的使用相关。我们希望国家工业政策办公室成为一个可公开获取的资源,以帮助监测工业政策的演变和效果。
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
自引率
0.00%
发文量
0
期刊最新文献
The role of global value chains for worker tasks and wage inequality Bank wholesale funding in an era of rising geopolitical risk Trade openness and growth in a small economy: Evidence from Malawi Global value chains and inward FDI: An empirical investigation of European firms Regional inequalities in the age of nearshoring
×
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