J 2022

Determinants of corruption: a panel data analysis of Visegrad countries

LINHARTOVÁ, Veronika a Martina HALÁSKOVÁ

Základní údaje

Originální název

Determinants of corruption: a panel data analysis of Visegrad countries

Název česky

Determinanty korupce: analýza panelových dat zemí Visegrádu

Autoři

LINHARTOVÁ, Veronika (203 Česká republika, garant, domácí) a Martina HALÁSKOVÁ

Vydání

EQUILIBRIUM-QUARTERLY JOURNAL OF ECONOMICS AND ECONOMIC POLICY, Poland, INST ECONOMIC RESEARCH, 2022, 1689-765X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50202 Applied Economics, Econometrics

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 5.700

Organizační jednotka

AMBIS vysoká škola, a.s.

DOI

https://doi.org/10.24136/eq.2022.003

UT WoS

000806215900003

Klíčová slova česky

korupce; kontrola korupce; determinanty; analýza panelových dat; země Visegrádu

Klíčová slova anglicky

corruption; control of corruption; determinants; panel data analysis; Visegrad countries

Štítky

RIV_2022

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 3. 2. 2023 16:12, Bc. Olga Puldová

Anotace

V originále

Research background: Corruption is a phenomenon that has no borders, thus hindering the proper functioning of the social, economic, and legal systems of a given state. As the rankings assessing the level of corruption in various countries show, transition economies are more vulnerable to corruption than countries that have not undergone changes in the political and economic order. The Visegrad group is an example of such countries. Despite their efforts, these countries' governments have yet to match the evaluation of corruption indices for developed European countries. Purpose of the article: This study analyses the determinants of corruption in Visegrad countries to identify which determinants are the most impactful and thus should be the focus of Visegrad countries' governments when creating anti-corruption policies. Methods: Data for the period 1996-2019 from the databases of the World Bank, Transparency International. and the European Central Bank were used for panel data analysis. The study uses a comprehensive set of economic, socio-cultural, and political determinants that can influence corruption. The purpose of this large set of variables is to prevent possible distortion owing to omitted variables. Findings & value added: The results of the analysis of panel data show the main determinants of corruption in Visegrad countries are economic, political, and socio-cultural (phase of economic development, openness of the economy, size of the public sector, degree of urbanization, and women's share in the labour force). A significant effect was also demonstrated in the case of regulatory quality and public sector wages. The findings can serve as a valuable resource for policymakers to develop government policies in individual countries and to implement effective anti-corruption tools.
Zobrazeno: 9. 10. 2025 04:49