Affiliation:
1. Babeș-Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca, Romania
Abstract
In this paper are considered a large number of indicators for measuring wellbeing at the Romanian counties level. The paper attempts to add the following contributions: a) analyses the shape of the distribution of wellbeing indicators using the kernel density estimation b) uses the factor analysis to identify the wellbeing dimensions that GDP well represents and quantify to what extent. Results show persistent disparities in time, with a few exceptions. It is worth mentioning that, for economic indicators, there is a small group of counties leading ahead of the rest of the country. A part of wellbeing information is captured by GDP, namely the wage, access to utilities, jobs, housing, and health dimensions, but the GDP does not incorporate at least the information related to education, environment, and security.
Reference16 articles.
1. "1. Barrington-Leigh, C. and Escande, A., 2018. Measuring progress and wellbeing: A comparative review of indicators. Social Indicators Research, 135(3) pp.893-925. https://doi.org/10.1007/s11205-016-1505-0.
2. 2. Benedek, J. and Lembcke, A.C., 2017. Characteristics of recovery and resilience in the Romanian regions. Eastern Journal of European Studies, 8(2), pp.95-126.
3. 3. Bleys, B., 2012. Beyond GDP: Classifying alternative measures for progress. Social Indicators Research, 109 (3), pp 355-376.
4. 4. Goschin, Z., 2015. Territorial inequalities and economic growth in Romania. A multi-factor approach. Procedia Economics and Finance, 22, pp.690-698. https://doi.org/10.1016/S2212-5671(15)00285-3.
5. 5. Goschin, Z., 2017. Exploring regional economic convergence in Romania. A spatial modeling approach. Eastern Journal of European Studies, 8(2), pp.127-146.