J 2022

Determinants of corruption: a panel data analysis of Visegrad countries

LINHARTOVÁ, Veronika and Martina HALÁSKOVÁ

Basic information

Original name

Determinants of corruption: a panel data analysis of Visegrad countries

Name in Czech

Determinanty korupce: analýza panelových dat zemí Visegrádu

Authors

LINHARTOVÁ, Veronika (203 Czech Republic, guarantor, belonging to the institution) and Martina HALÁSKOVÁ

Edition

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

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50202 Applied Economics, Econometrics

Country of publisher

Poland

Confidentiality degree

is not subject to a state or trade secret

References:

Impact factor

Impact factor: 5.700

Organization unit

AMBIS University

UT WoS

000806215900003

Keywords (in Czech)

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

Keywords in English

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

Tags

Tags

International impact, Reviewed
Changed: 3/2/2023 16:12, Bc. Olga Puldová

Abstract

In the original language

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.