voprecotestВопросы экономикиVoprosy Ekonomiki0042-8736Voprosy Ekonomiki, NP10.32609/0042-8736-2023-7-81-99voprecotest-4469Research ArticleВОПРОСЫ ТЕОРИИISSUES OF THEORYМетодология нарративного анализа в экономике: случай предпринимательских сетейMethodology of the narrative analysis in economics: The case of the entrepreneurial networkshttps://orcid.org/0000-0002-0667-3391ТамбовцевВ. Л.TambovtsevV. L.

Тамбовцев Виталий Леонидович – доктор экономических наук, профессор, главный научный сотрудник лаборатории институционального анализа экономического факультета МГУ.

Москва

Vitaly L. Tambovtsev.

Moscow

tambovtsev@econ.msu.ruhttps://orcid.org/0000-0001-9825-4719БузулуковаЕ. В.BuzulukovaE. V.

Бузулукова Екатерина Валерьевна - кандидат экономических наук, старший научный сотрудник лаборатории институционального анализа экономического факультета МГУ.

Москва

Ekaterina V. Buzulukova.

Moscow

buzulukovaev@yandex.ruhttps://orcid.org/0000-0002-0486-9155ВалитоваЛ. А.ValitovaL. A.

Валитова Лилия Аскаровна - кандидат экономических наук, старший научный сотрудник лаборатории институционального анализа экономического факультета МГУ.

Москва

Lilia A. Valitova.

Moscow

lvalit@gmail.comhttps://orcid.org/0000-0003-2248-6964ДэнЦ.DengJ.

Дэн Цзюньчжи - аспирант  кафедры маркетинга экономического факультета  МГУ.

Москва

Junzhi Deng.

Moscow

deng.junzhi@yandex.ruhttps://orcid.org/0000-0002-6498-1747СиткевичД. А.SitkevichD. A.

Ситкевич Даниил Андреевич – кандидат экономических наук, научный сотрудник Центра региональных исследований и урбанистики Института прикладных  экономических исследований (ИПЭИ) РАНХиГС; научный сотрудник лаборатории институционального анализа экономического факультета МГУ.

Москва

Daniil A. Sitkevich.

Moscow

dasitkevich@gmail.comhttps://orcid.org/0000-0002-5657-0534ТурабаеваА. М.TurabaevaA. M.

Турабаева Айжана Маратовна - аспирант  кафедры прикладной институциональной экономики  экономического факультета МГУ.

Москва

Aizhana M. Turabaeva.

Moscow

fleif@mail.ruМосковский государственный университет имени М.В. ЛомоносоваРоссияLomonosov Moscow State UniversityRussian FederationМосковский государственный университет имени М.В. Ломоносова; Российская академия народного хозяйства и государственной службы при Президенте РФРоссияLomonosov Moscow State University; Russian Presidential Academy of National Economy and Public AdministrationRussian Federation202310072023078199Copyright © Voprosy Ekonomiki, NP, 20232023Voprosy Ekonomiki, NPVoprosy Ekonomiki, NPhttps://www.vopreco.ru/jour/about/submissions#copyrightNoticehttps://www.vopreco.ru/jour/article/view/4469

Представлены теоретические и эмпирические свидетельства того, что нарративный анализ  в экономике  не является составной частью качественных исследований и совместим  с методологией  количественных исследований. Развитие методов  сбора  и обработки  данных  является одним из значимых направлений как эмпирических, так и теоретических исследований в экономической  науке. Особую  важность  этому направлению придает  последовательное расширение учета социальных факторов в изучении  процессов  принятия решений  на микро- и макроуровне. Нарративная экономическая теория, возникшая и развивающаяся в последнее  десятилетие, является составной частью этого направления. Предложена и обоснована  методика эмпирического анализа нарративов, рассматриваемых как источники  количественной информации, которая  используется при  принятии решений. Это отличает  ее от методов нарративного анализа, применяемого в качественных исследованиях в социальных науках, хотя  в литературе они не всегда  разграничиваются. Методика предполагает поиск частоты встречаемости различных словосочетаний  в интернете  с анализом интервью, что существенно  сокращает время и усилия, необходимые для  поиска  и анализа информации о социальных факторах. Методика опробована на примере анализа нарративов, характеризующих персональные предпринимательские сети, какая-либо статистическая информация о которых  не собирается, хотя  сами сети играют  важную  роль в формировании новых малых предприятий. Результаты анализа показывают, что методика  позволяет получать  полезные  количественные данные о такого рода  объектах  экономического исследования.

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.

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The authors declare that there are no conflicts of interest present.