Methodology of the narrative analysis in economics: The case of the entrepreneurial networks

IF 0.7 Q3 ECONOMICS Voprosy Ekonomiki Pub Date : 2023-07-10 DOI:10.32609/0042-8736-2023-7-81-99
V. Tambovtsev, E. Buzulukova, L. Valitova, J. Deng, D. Sitkevich, A. M. Turabaeva
{"title":"Methodology of the narrative analysis in economics: The case of the entrepreneurial networks","authors":"V. Tambovtsev, E. Buzulukova, L. Valitova, J. Deng, D. Sitkevich, A. M. Turabaeva","doi":"10.32609/0042-8736-2023-7-81-99","DOIUrl":null,"url":null,"abstract":"The  purpose  of  the  article is to provide   theoretical and  empirical evidence  that narrative analysis  in economics  is not an integral part of qualitative research  and  is quite compatible with  the  methodology of quantitative research. The development of methods for collecting and  processing data is one of the significant directions in the development of both  empirical and theoretical research  in economics. Of  particular importance to this  direction is the  consistent expansion of the  consideration of social  factors in the  study of decision-making  processes, both  at the micro  and  macro  levels. Narrative economics, which  has  emerged  and  developed in  the  last decade, is an  integral part of this  trend. The article proposes  and  substantiates a methodology for empirical analysis  of narratives considered as sources  of quantitative information used in decision  making. This  distinguishes it from  the  methods of narrative analysis used in qualitative research  in the  social  sciences, although they  are not always distinguished in the literature. The technique combines  the search  for the frequency  of occurrence of various  phrases  on the Internet with  interview analysis, which  significantly reduces  the  time and  effort required to search  and  analyze the necessary  information about social  factors. The  effectiveness of the  proposed  methodology is tested on the  example  of the  analysis  of narratives that characterize personal entrepreneurial networks, no statistical information about which  is collected, although the  networks  themselves play  an important role in the  formation of new small  businesses. The presented results of the  analysis show that the  technique makes it possible  to obtain useful  quantitative data on such objects of economic  research.","PeriodicalId":45534,"journal":{"name":"Voprosy Ekonomiki","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Voprosy Ekonomiki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32609/0042-8736-2023-7-81-99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

The  purpose  of  the  article is to provide   theoretical and  empirical evidence  that narrative analysis  in economics  is not an integral part of qualitative research  and  is quite compatible with  the  methodology of quantitative research. The development of methods for collecting and  processing data is one of the significant directions in the development of both  empirical and theoretical research  in economics. Of  particular importance to this  direction is the  consistent expansion of the  consideration of social  factors in the  study of decision-making  processes, both  at the micro  and  macro  levels. Narrative economics, which  has  emerged  and  developed in  the  last decade, is an  integral part of this  trend. The article proposes  and  substantiates a methodology for empirical analysis  of narratives considered as sources  of quantitative information used in decision  making. This  distinguishes it from  the  methods of narrative analysis used in qualitative research  in the  social  sciences, although they  are not always distinguished in the literature. The technique combines  the search  for the frequency  of occurrence of various  phrases  on the Internet with  interview analysis, which  significantly reduces  the  time and  effort required to search  and  analyze the necessary  information about social  factors. The  effectiveness of the  proposed  methodology is tested on the  example  of the  analysis  of narratives that characterize personal entrepreneurial networks, no statistical information about which  is collected, although the  networks  themselves play  an important role in the  formation of new small  businesses. The presented results of the  analysis show that the  technique makes it possible  to obtain useful  quantitative data on such objects of economic  research.
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
经济学叙事分析的方法论:以创业网络为例
本文的目的是提供理论和实证证据,证明经济学中的叙事分析不是定性研究的一个组成部分,而是与定量研究的方法论相当兼容。数据收集和处理方法的发展是经济学实证研究和理论研究发展的重要方向之一。对这一方向特别重要的是,在微观和宏观两级研究决策过程时不断扩大对社会因素的考虑。叙事经济学是近十年来兴起和发展起来的,是这一趋势的重要组成部分。本文提出并证实了一种方法的实证分析的叙述被认为是定量信息的来源,用于决策。这将其与社会科学定性研究中使用的叙事分析方法区分开来,尽管它们在文献中并不总是得到区分。该技术将搜索互联网上各种短语的出现频率与访谈分析相结合,大大减少了搜索和分析社会因素必要信息所需的时间和精力。所提议的方法的有效性是在分析个人创业网络特征的叙述的例子上进行检验的,虽然这些网络本身在形成新的小型企业方面起着重要作用,但没有收集有关这些叙述的统计资料。所提出的分析结果表明,该技术可以获得有关这类经济研究对象的有用的定量数据。
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
Voprosy Ekonomiki
Voprosy Ekonomiki ECONOMICS-
CiteScore
1.80
自引率
25.00%
发文量
86
期刊最新文献
The world in the maze of sanctions: Ambiguity of empirical evidence How does bank lending affect small and medium-sized businesses? Reform of capital adequacy regulation in the world Islamic banking market Talents and their professors: What and how to teach? Reform of economic education or reform of economic knowledge?
×
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