The Components of the International Property Rights Index that Matter for Economic Growth
• Author(s): Arton Hajdari, Nexhat Shkodra & Xhevat Sopi
• Published: December 2024
• Pages in paper: 16
Abstract
The International Property Rights Index (IPRI) is considered a credible source of information for the public and policymakers, focusing on its components’ impact on economic growth. The study analysed the GDP per capita of 13 EU countries over 13 years (2009–2021) to assess the significance of IPRI components on economic growth. The research utilized correlation and regression analyses, particularly the Hausman-Taylor method, to evaluate the relationship between IPRI components and economic growth. The study found a positive correlation between IPRI and GDP per capita, highlighting the crucial role of IPRI components in driving economic growth.
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Legal Determinants That Impact Economic Growth
Economic growth, as a leading macroeconomic objective, is supposed to be determined by different types of variables and indicators, including legal ones. Therefore, through panel data analysis of the 20 EU countries for 2013-2021 years, this research article came across legal determinants that impact economic growth. Data covered in the examination were from secondary sources, i.e., from two credible international institutions, the World Justice Project and the World Bank. This study, conducted through a quantitative scientific approach, i.e., the robust fixed effects model of regression analysis, found the following six legal determinants that impact economic growth: 1) Effectiveness of keeping crime under control; 2) Effectiveness of enforcement of civil justice; 3) People do not use violence to redress personal grievances; 4) Laws and government data are publicised properly (transparency); 5) Government officials in the judicial branch do not utilise their office for personal gain. 6) Civil justice is accessed and afforded by people. The robust fixed effects model was not a subjective choice, but a decision made through the respective tests of pooled OLS, random effects and fixed effects.
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