The 26th NISPAcee Annual Conference

Conference photos available

Conference photos available

In the conference participated 317 participants

Conference programme published

Almost 250 conference participants from 36 countries participated

Conference Report

The 28th NISPAcee Annual Conference cancelled

The 29th NISPAcee Annual Conference, Ljubljana, Slovenia, October 21 - October 23, 2021

The 2020 NISPAcee On-line Conference

The 30th NISPAcee Annual Conference, Bucharest, Romania, June 2 - June 4, 2022

An opportunity to learn from other researchers and other countries' experiences on certain topics.

G.A.C., Hungary, 25th Conference 2017, Kazan

Very well organised, excellent programme and fruitful discussions.

M.M.S., Slovakia, 25th Conference 2017, Kazan

The NISPAcee conference remains a very interesting conference.

M.D.V., Netherlands, 25th Conference 2017, Kazan

Thank you for the opportunity to be there, and for the work of the organisers.

D.Z., Hungary, 24th Conference 2016, Zagreb

Well organized, as always. Excellent conference topic and paper selection.

M.S., Serbia, 23rd Conference 2015, Georgia

Perfect conference. Well organised. Very informative.

M.deV., Netherlands, 22nd Conference 2014, Hungary

Excellent conference. Congratulations!

S. C., United States, 20th Conference 2012, Republic of Macedonia

Thanks for organising the pre-conference activity. I benefited significantly!

R. U., Uzbekistan, 19th Conference, Varna 2011

Each information I got, was received perfectly in time!

L. S., Latvia, 21st Conference 2013, Serbia

The Conference was very academically fruitful!

M. K., Republic of Macedonia, 20th Conference 2012, Republic of Macedonia

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 Paper/Speech Details of Conference Program  

for the  17th NISPAcee Annual Conference
  Program Overview
Main Conference Theme
Author(s)  Marius Profiroiu 
  Bucharest University of Economic Studies
Bucharest  Romania
Tudorel ANDREI, Ph.D. Professor, Faculty of Cibernetics ,Statistics and Economic Computation, Statistics and Econometrics Department, Academy of Economic Studies, Bucharest, Romania Marius PROFIROIU, Ph.D. Professor, Faculty of Management , Administration and Public Management Department, Academy of Economic Studies, Bucharest, Romania Alina PROFIROIU, Ph.D. Associate Professor, Faculty of Management , Administration and Public Management Department, Academy of Economic Studies, Bucharest, Romania Monica NEDELCU, Ph.D. Associate Professor, Faculty of Management , Management Department, Academy of Economic Studies, Bucharest, Romania 
 
 Title  Estimation of corruption and non-academic behavior in the Romania publiv sector: public administration, health and educarion sector
File   Paper files are available only for conference participants, please login first. 
Presenter 
Abstract  
  
Due to the impact corruption has on the political stability and economic development of a country, the quantitative research of this negative phenomenon plays an important role in the contemporany economic research.
Most studies use national indices in order to analyse corruption. One example is the corruption index, calculated by the International Country Risk Guide (ICRG) and the Corruption Perceptions Index calculated by Transparency International (TI).
An important aspect in the study of the level of corruption is choosing the most appropriate econometric models in order to estimate the effects of the corruption on various sectors.
In the study we carried out in Romania, we assess the perception of corruption at the level of important sectors of the society, such as local and central public administration, education and health sector. The results obtained after processing the data series allowed us to make several comments related to the following aspects:
1. Evaluation of a sector`s level of corruption from the perspective of the employees (autoevaluation of the sectorial corruption level and the dimensions of the non- academic behaviour);
2. Evaluation of corruption at national level and the comparison of the obtained results with the ones reported by Transparency International (TI);
3. Estimations of the effects corruption has on the public sector;
4. Estimations of the quality of the reform process in the local and central public administration and health sector and its impact on the level of corruption.

The data series user for assessing the above mentioned aspects were collected through statistical surveys carried out in Romania between 2005 and 2008. In order to investigate the data series we made use of econometric methods, such as regression models, simultaneous equation models and binary variable models, etc. All of them helped us evaluate the impact of corruption on important aspects related to the selected public sector domains.

In order to guarantee the comparability of the data obtained during the analysis with the data used to measure the corruption through the Corruption Perceptions Index calculated by Transparency International, we used the following transformation:
[1]

The corruption index, calculated using the data from the sample and based on the results reported by each of the five institutions has the following characteristics:
• The corruption index evaluated using the IT scale is equal to 3,52, value which is included in the trust interval of the Corruption Perceptions Index calculated by Transparency International.
• The distribution of corruption, defined on the basis of the COR variable data series is a simetrical one.
There are significant differences between the distributions of the variable used to calculate the corruption in different activity fields. Rather similar profiles have resulted in the case of the data series for education and heath, as well as for public administration and politics. Moreover, both education and health as well as public administration and politics register quite close scores.