Research 2012

Here you can find all thematic analyses included in "Regional Profiles: Indicators of Development 2012".

The summary of the study is avaiable here.

Thematic Analysis 2012:

Local Tax Policy		Main Trends in Primary and Secondary Education
The legal thresholds of taxation adopted by local authorities have widened somewhat in recent years, allowing also for a reduction in tax rates. It has already helped establishing an actual tax policy and even competition between municipalities, but the effect on the level and breakdown of revenues was not great. \| Full text \|		The educational trends presented above are the natural result of negative demographic processes developing in most districts. The absence of real competition between schools in some smaller settlements certainly does not help in improving the quality of education. \| Full text \|
Business Surveys		Citizen Surveys
Corruption and Poor Administration Go Hand in Hand In May, a number of surveys were conducted among businesses and citizens in all 28 districts of the country for the purposes of this study. The aim of the surveys was to supplement the statistical information available with the subjective perceptions of the business environment and living conditions in separate districts. The results show a strong positive connection between corruption perceptions and the assessment of local administration's performance. \| Full text \|		Factors Determining Life Satisfaction in Different Districts The analysis of the survey conducted among 1,952 citizens of the 28 administrative districts was focused on three indicators: score on the performance of institutions, quality of life, and corruption. Their results show an interesting contrast at the district level that is largely in line with the perceptions of the business community. \| Full text \|

Clusterisation according to the Socio-Economic Condition and Development of Districts (2012)

Alexander Tsvetkov, Ph.D

The aim of clustering the districts is to identify, describe and identify specific groups of districts whose regional profiles are similar.

As described in the methodology, this process is carried out simultaneously for all indicators characterizing the socio-economic situation and the development of districts by using neural networks.

The types of regional profiles identified may be used by different users according to their specific goals and objectives: from analysts to decision-makers who have to make informed management decisions.

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