这要看情况:确定增长依赖性的各种方法

Anja JanischewskiFaculty of Economics and Business Administration, Chemnitz University of Technology, Katharina BohnenbergerGerman Institute for Interdisciplinary Social Policy Research, University of Bremen, SOCIUM and Institute for Socio-Economics, University of Duisburg-Essen, Matthias KrankeFreiburg Institute for Advanced Studies, Tobias VogelDepartment for Philosophy, Politics and Economics, Faculty of Economy and Society, Witten/Herdecke University, Riwan DriouichInstitut de Ciència i Tecnologia Ambientals, Tobias FroeseChair for Corporate Sustainability, ESCP Business School, Stefanie GeroldInstitute of Philosophy and Social Science, Brandenburg University of Technology Cottbus-Senftenberg, Raphael KaufmannZOE Institute for Future-Fit Economies, Lorenz KeyßerInstitute of Geography and Sustainability, Faculty of Geosciences and Environment, University of Lausanne, Jannis NiethammerICLEI European Secretariat, Christopher OlkOtto Suhr Institute for Political Science, Freie Universität Berlin, Matthias SchmelzerNorbert-Elias-Center for Transformation Design and Research, University of Flensburg, Germany and Friedrich-Schiller-University Jena, Aslı YürükUrban Transformation and Global Change Laboratory, Steffen LangeCentre for Pluralist Economics, University of Siegen
{"title":"这要看情况:确定增长依赖性的各种方法","authors":"Anja JanischewskiFaculty of Economics and Business Administration, Chemnitz University of Technology, Katharina BohnenbergerGerman Institute for Interdisciplinary Social Policy Research, University of Bremen, SOCIUM and Institute for Socio-Economics, University of Duisburg-Essen, Matthias KrankeFreiburg Institute for Advanced Studies, Tobias VogelDepartment for Philosophy, Politics and Economics, Faculty of Economy and Society, Witten/Herdecke University, Riwan DriouichInstitut de Ciència i Tecnologia Ambientals, Tobias FroeseChair for Corporate Sustainability, ESCP Business School, Stefanie GeroldInstitute of Philosophy and Social Science, Brandenburg University of Technology Cottbus-Senftenberg, Raphael KaufmannZOE Institute for Future-Fit Economies, Lorenz KeyßerInstitute of Geography and Sustainability, Faculty of Geosciences and Environment, University of Lausanne, Jannis NiethammerICLEI European Secretariat, Christopher OlkOtto Suhr Institute for Political Science, Freie Universität Berlin, Matthias SchmelzerNorbert-Elias-Center for Transformation Design and Research, University of Flensburg, Germany and Friedrich-Schiller-University Jena, Aslı YürükUrban Transformation and Global Change Laboratory, Steffen LangeCentre for Pluralist Economics, University of Siegen","doi":"arxiv-2409.12109","DOIUrl":null,"url":null,"abstract":"Many socio-economic systems require positive economic growth rates to\nfunction properly. Given uncertainty about future growth rates and increasing\nevidence that economic growth is a driver of social and environmental crises,\nthese growth dependencies pose serious societal challenges. In recent years,\nmore and more researchers have thus tried to identify growth-dependent systems\nand develop policies to reduce their growth dependence. However, the concept of\n'growth dependence' still lacks a consistent definition and operationalization,\nwhich impedes more systematic empirical and theoretical research. This article\nproposes a simple but powerful framework for defining and operationalizing the\nconcept of 'growth dependence' across socio-economic systems. We provide a\ngeneral definition consisting of four components that can be specified for\ndifferent empirical cases: (1) the system under investigation, (2) the unit of\nmeasurement of growth, (3) the level of growth and (4) the relevant functions\nor properties of the system under investigation. According to our general\ndefinition, a socio-economic system is growth-dependent if it requires a\nlong-term positive growth rate in terms of a unit of economic measurement to\nmaintain all its functions or properties that are relevant within the chosen\nnormative framework. To illustrate the usefulness of our scheme, we apply it to\nthree areas at the heart of the existing literature on growth dependence:\nemployment, social insurance systems and public finance. These case studies\ndemonstrate that whether or not a system is growth-dependent hinges not only on\nthe empirical properties of the system itself but also on the specification of\nthe concept of growth dependence. Our framework enables coherent, robust and\neffective definitions and research questions, fostering comparability of\nfindings across different cases and disciplines.","PeriodicalId":501273,"journal":{"name":"arXiv - ECON - General Economics","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"It depends: Varieties of defining growth dependence\",\"authors\":\"Anja JanischewskiFaculty of Economics and Business Administration, Chemnitz University of Technology, Katharina BohnenbergerGerman Institute for Interdisciplinary Social Policy Research, University of Bremen, SOCIUM and Institute for Socio-Economics, University of Duisburg-Essen, Matthias KrankeFreiburg Institute for Advanced Studies, Tobias VogelDepartment for Philosophy, Politics and Economics, Faculty of Economy and Society, Witten/Herdecke University, Riwan DriouichInstitut de Ciència i Tecnologia Ambientals, Tobias FroeseChair for Corporate Sustainability, ESCP Business School, Stefanie GeroldInstitute of Philosophy and Social Science, Brandenburg University of Technology Cottbus-Senftenberg, Raphael KaufmannZOE Institute for Future-Fit Economies, Lorenz KeyßerInstitute of Geography and Sustainability, Faculty of Geosciences and Environment, University of Lausanne, Jannis NiethammerICLEI European Secretariat, Christopher OlkOtto Suhr Institute for Political Science, Freie Universität Berlin, Matthias SchmelzerNorbert-Elias-Center for Transformation Design and Research, University of Flensburg, Germany and Friedrich-Schiller-University Jena, Aslı YürükUrban Transformation and Global Change Laboratory, Steffen LangeCentre for Pluralist Economics, University of Siegen\",\"doi\":\"arxiv-2409.12109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many socio-economic systems require positive economic growth rates to\\nfunction properly. Given uncertainty about future growth rates and increasing\\nevidence that economic growth is a driver of social and environmental crises,\\nthese growth dependencies pose serious societal challenges. In recent years,\\nmore and more researchers have thus tried to identify growth-dependent systems\\nand develop policies to reduce their growth dependence. However, the concept of\\n'growth dependence' still lacks a consistent definition and operationalization,\\nwhich impedes more systematic empirical and theoretical research. This article\\nproposes a simple but powerful framework for defining and operationalizing the\\nconcept of 'growth dependence' across socio-economic systems. We provide a\\ngeneral definition consisting of four components that can be specified for\\ndifferent empirical cases: (1) the system under investigation, (2) the unit of\\nmeasurement of growth, (3) the level of growth and (4) the relevant functions\\nor properties of the system under investigation. According to our general\\ndefinition, a socio-economic system is growth-dependent if it requires a\\nlong-term positive growth rate in terms of a unit of economic measurement to\\nmaintain all its functions or properties that are relevant within the chosen\\nnormative framework. To illustrate the usefulness of our scheme, we apply it to\\nthree areas at the heart of the existing literature on growth dependence:\\nemployment, social insurance systems and public finance. These case studies\\ndemonstrate that whether or not a system is growth-dependent hinges not only on\\nthe empirical properties of the system itself but also on the specification of\\nthe concept of growth dependence. Our framework enables coherent, robust and\\neffective definitions and research questions, fostering comparability of\\nfindings across different cases and disciplines.\",\"PeriodicalId\":501273,\"journal\":{\"name\":\"arXiv - ECON - General Economics\",\"volume\":\"45 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - ECON - General Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.12109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - General Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.12109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

许多社会经济体系需要正经济增长率才能正常运转。鉴于未来增长率的不确定性,以及越来越多的证据表明经济增长是社会和环境危机的驱动力,这些增长依赖性构成了严峻的社会挑战。因此,近年来,越来越多的研究人员试图找出依赖增长的系统,并制定政策来降低其增长依赖性。然而,"增长依赖 "这一概念仍然缺乏统一的定义和操作方法,这阻碍了更系统的实证和理论研究。本文提出了一个简单而有力的框架,用于定义和操作跨社会经济体系的 "增长依赖性 "概念。我们提供了一个由四个部分组成的一般定义,可针对不同的经验案例加以具体化:(1) 所研究的系统;(2) 增长的测量单位;(3) 增长水平;(4) 所研究系统的相关功能或属性。根据我们的一般定义,如果一个社会经济系统需要经济计量单位的长期正增长率来维持其在所选规范框架内的所有相关功能或属性,那么该系统就是依赖于增长的。为了说明我们的方案的实用性,我们将其应用于有关增长依赖性的现有文献的三个核心领域:就业、社会保险制度和公共财政。这些案例研究表明,一个制度是否依赖于增长,不仅取决于制度本身的经验属性,还取决于增长依赖性概念的具体化。我们的框架使定义和研究问题更加连贯、稳健和有效,从而提高了不同案例和学科研究结果的可比性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
It depends: Varieties of defining growth dependence
Many socio-economic systems require positive economic growth rates to function properly. Given uncertainty about future growth rates and increasing evidence that economic growth is a driver of social and environmental crises, these growth dependencies pose serious societal challenges. In recent years, more and more researchers have thus tried to identify growth-dependent systems and develop policies to reduce their growth dependence. However, the concept of 'growth dependence' still lacks a consistent definition and operationalization, which impedes more systematic empirical and theoretical research. This article proposes a simple but powerful framework for defining and operationalizing the concept of 'growth dependence' across socio-economic systems. We provide a general definition consisting of four components that can be specified for different empirical cases: (1) the system under investigation, (2) the unit of measurement of growth, (3) the level of growth and (4) the relevant functions or properties of the system under investigation. According to our general definition, a socio-economic system is growth-dependent if it requires a long-term positive growth rate in terms of a unit of economic measurement to maintain all its functions or properties that are relevant within the chosen normative framework. To illustrate the usefulness of our scheme, we apply it to three areas at the heart of the existing literature on growth dependence: employment, social insurance systems and public finance. These case studies demonstrate that whether or not a system is growth-dependent hinges not only on the empirical properties of the system itself but also on the specification of the concept of growth dependence. Our framework enables coherent, robust and effective definitions and research questions, fostering comparability of findings across different cases and disciplines.
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
自引率
0.00%
发文量
0
期刊最新文献
It depends: Varieties of defining growth dependence Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection Cognitive Hierarchy in Day-to-day Network Flow Dynamics The long-term human capital and health impacts of a pollution reduction programme What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts
×
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