2022
Determinants of corruption: a panel data analysis of Visegrad countries
LINHARTOVÁ, Veronika a Martina HALÁSKOVÁZákladní 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
Impakt faktor
Impact factor: 5.700
Organizační jednotka
AMBIS vysoká škola, a.s.
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
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.