Polese, Abel, Moise, Gian Marco
ORCID: 0000-0001-5221-8106, Tokyzhanova, Talshyn, Aguzzi, Tommaso, Kerikmae, Tanel, Sagynbaeva, Ainoura, Sauka, Arnis and Seliverstova, Oleksandra
(2022)
Informality versus shadow economy: reflecting on the first results of a manager’s survey in Kyrgyzstan.
Central Asian Survey, 42
(1).
pp. 149-170.
ISSN 0263-4937
Abstract
This article is the rst attempt to apply Putnis and Sauka’s approach
to direct measurement of the shadow economy through a survey
of company managers in Central Asia. The results of the survey
are used to calculate a shadow economy index for 2017 and 2018
in Kyrgyzstan, and to discuss the di erence between direct and
indirect methods in calculating the size of a shadow economy.
We also propose a distinction between shadow economies and
informality in general. While a shadow economy is usually
understood to arise as a consequence of underreporting of
income, we argue that informality is best understood as the
aggregate of non-monetary and non-economic practices used in
society. Applying this distinction to our case, we suggest that the
origins of Kyrgyzstan’s shadow economy are not only economic;
rather social and cultural processes have had signi cant e ects.
This has implications for policy responses that address shadow
economic activities.
Metadata
| Item Type: | Article (Published) |
|---|---|
| Refereed: | Yes |
| Uncontrolled Keywords: | Shadow economy; informality; Kyrgyzstan; survey |
| Subjects: | Social Sciences > Geography Social Sciences > Sociology |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Humanities and Social Science DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Law and Government |
| Publisher: | Taylor & Francis |
| Official URL: | https://www.tandfonline.com/doi/full/10.1080/02634... |
| Copyright Information: | Authors |
| ID Code: | 31812 |
| Deposited On: | 10 Nov 2025 14:29 by Abel Polese . Last Modified 10 Nov 2025 14:29 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0 2MB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record