ANALYSIS OF THE MAIN DETERMINANTS OF THE SHADOW ECONOMY BASED ON SELECTED COUNTRIES OF CENTRAL ASIA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11220%2F23%3A10467241" target="_blank" >RIV/00216208:11220/23:10467241 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0X6d0w3uCE" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=0X6d0w3uCE</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.52783/rlj.v11i3.1439" target="_blank" >10.52783/rlj.v11i3.1439</a>
Alternative languages
Result language
angličtina
Original language name
ANALYSIS OF THE MAIN DETERMINANTS OF THE SHADOW ECONOMY BASED ON SELECTED COUNTRIES OF CENTRAL ASIA
Original language description
This article focuses on assessing the determinants of the shadow economy in Kazakhstan, Kyrgyzstan, and Uzbekistan from 2010 to 2020. Examining the experience of these countries reveals the full range of problems associated with the shadow economy and its impact on economic growth. One of the objectives of the article was to examine the causes of the shadow economy and highlight the highest-income but most vulnerable sectors of the economy. Three Central Asian countries were selected to determine the importance of some factors on the shadow economy in developing countries. To assess the importance of the factors, data for these countries were collected from www.data.worldbank.org and www.theglobaleconomy.com. Empirical research shows that more than 80% of the size of the shadow economy in these countries can be explained by factors such as the total number of employees, the tax rate as a percentage of commercial profits, GDP per capita and imports of goods and services as a percentage of GDP. At the same time, the correlation analysis proves that the increase and active participation of young people of working age reduces the volume of the shadow economy.
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
50501 - Law
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Russian Law Journal
ISSN
2309-8678
e-ISSN
2312-3605
Volume of the periodical
11
Issue of the periodical within the volume
3
Country of publishing house
RU - RUSSIAN FEDERATION
Number of pages
12
Pages from-to
1090-1101
UT code for WoS article
—
EID of the result in the Scopus database
—