The main aim of the paper is to offer a statistical identification of differences in efficiency between Serbian regions. The regional resources covered by the analysis are presented in the form of infrastructure, investment in new fixed assets and employment levels. For the researching purpose, data envelopment method (DEA) is used as a major component in identifying regions that use their resources effectively. This approach of mathematical programming optimization tends to evaluate the efficiency of the analyzed regional spatial aspects. Moreover, studying regional differences and generally spatial efficiency creates a significant basis for mapping key problems of regional development in Serbia and provides important guidelines for the creation and implementation of regional policies.
The study aims to identify and describe the most relevant professional skill patterns among the digital platform workers from the selected Southeastern European (SEE) countries. Such orientation is based on the relatively modest presence of SEE countries in large pan-European studies, and on the lack of information regarding the applicability of existing online job taxonomies in observed countries. Applying a topic approach as a natural language processing technique, we analyzed the sets of self-reported skills provided by digital platform workers registered at the Upwork platform. Seven distinctive skill profiles were extracted, which only partly overlapped with the standard Oxford?s Online Labour Index of digital job taxonomy. Results are indicating clear distinctions between highly specialized and general job categories, and between creative and technical professions. Mapping of the skills and national affiliations reveal differences between EU and non-EU countries in the region regarding professional inclinations. Partly in line with the findings of previous studies, the results pave the way for future research on this topic.
In this paper, on the basis of relevant statistical tests, the influence of the electoral process on the trajectory of fiscal indicators in the transition countries is analyzed. The aim of the research is to identify the political manipulation of certain fiscal policy mechanisms in transition countries.The focus of the survey is on the growth of general government spending, the reduction of general government revenues and the creation of budget deficits as the coherent consequences of fiscal expansion in the pre-election period. By testing, there is no relevant evidence of the use of tax incentives as a form of political action on the economic sphere. On the other hand, the results of the survey indicate that in the observed countries, there really is a rise in government spending in the period before the election process and, consequently, the growth of budget deficits. However, according to the same findings, in the post-election period there is no reduction in consumption. Growth in general governments consumption continues, but to a lesser degree, which in turn leads to the correction of the budgetary balance.
The primary objective of the article is to examine the nexus between inflation, R&D, patents, and economic growth within a group of Central and Eastern European countries (CEECs). The examination is conducted in two parts. First, the impact of total R&D expenditures on economic growth is observed, as well as the influence of growth on private and public R&D investments. Second, the conversion from private and public R&D investment to innovation, measured by the number of patents, is observed. Throughout the analysis, economic growth and inflation are representative of macroeconomic stability. The outcomes of the panel auto-regressive distributed lag estimation indicate that total R&D expenditures are essential and positively significant for economic growth in the observed countries. The results also show that output growth has a remarkably positive impact on generating private R&D expenditures. Such an influence is also found, but at a weaker level, in the case of public R&D expenditures. In this part of the analysis, inflation has demonstrated a harmful influence on R&D expenditures. The results of the second part indicate that public and private R&D expenditures, at a significant level, generate innovation activities, while the impact of inflation has proven to be unimportant.
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