Deliverable 3 – Data analysis and modeling
In the third phase of this project, our research team analyzed the psycho-cultural data collected in the 41 counties of Romania and in the Municipality of Bucharest and tested new methods for identifying and calculating social and economic inequalities and polarization. The full report of our activity for 2019-2020 can be downloaded HERE.
Research report: The Modernity Index of Romania
In this Report we present a Modernity Index of Romania, through a dynamic and generational analysis. The Modernity Index was computed based on four dimensions: (1) Collectivism/Autonomy (Individualism), (2) Trust/Mistrust, (3) Duty/Joy and (4) Life satisfaction. The results showed that between 1993 and 2018 the Modernity Index of Romania increased by approximately 9 points. The changes of this index indicate opportunities for a better integration of Romanian institutions into the western geopolitical space of the European Union and NATO. The full report can be downloaded HERE.
Research report: The psychological and psychocultural profile of Romania’s regions
The research team has collected and extensive set of data regarding the psychocultural characteristics of the administrative regions of Romania. In this report we present the psychocultural profiles of these administrative regions and conduct a preliminary comparison between the profiles. The results have indicated that there is a high degree of homogeneity between regions, at most levels of the analysis. However, there are some differences that might be considered as ecologically relevant (e.g., trust, rational beliefs, positive emotions), especially when comparing the regions across NUTS II. There are also other smaller differences which are significant and might have an impact on PESH [Political/Economic/Social/Health] indicators and will be used in complex models in the final stages of the project. The full report can be downloaded HERE.
Research report: The impact of the psychological and cultural profile on the mobility of Romanian citizens during the COVID-19 lockdown
Based on the data collected as part of this project, our research team has analyzed the relationship between the psychological and cultural profile of the administrative counties of Romania and the mobility of the citizens, as reported by the Google COVID-19 Community Mobility Reports. The results have indicated that higher Autonomy/Individualism and higher Power Distance were both associated with lower mobility in public places and higher mobility at home during the lockdown in Romania, between the 16th of March and 14th of May 2020. The full report (in Romanian language) can be downloaded HERE.
The overall objective of the project is to analyse spatial-temporal developmental inequalities and polarisation in relation to psychological characteristics on the territory of Romania. The premise behind the project is that the patterns of geographical distribution of psychological characteristics underlie the observable differences in the political, economic, social, and health indicators (PESH) between different psychological and physical regions of the country. More specifically, these psychological variables act as mechanisms involved in generating the individual level behaviours, which in turn are expressed in terms of macro-PESH indicators. The project will analyse these relationships in a trans-disciplinary fashion, integrating psychological features with socio-economic disparities.
The objectives of the first phase of the project are the following:
(1) the documentation of the psychological, geographical, social, and economic variables related to socio-economic disparities and polarizations;
(2) the selection and preparation of the measurement instruments used for data collection;
(3) the dissemination of the project (at this stage through this website, which will provide a platform for the dissemination of future scientific results).
The first deliverable (available in Romanian language) contains a synthesis of the relevant scientific literature in the field of (1) psychology, (2) geography, (3) political sciences, (4) econophysics, and (5) economy as well as a selection of the indicators included in the data collection process that will take place in the next stages of the project.