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Abstract
The purpose of this article is to study the impact of fiscal policy on economic growth in Bulgaria for the period 1995–2018. The descriptive analysis is focused on the general trends in fiscal policy and tax structure. The influence of government spending and taxation on economic growth is studied through regressions on time-series data. The empirical estimates prove that taxation is a more reliable instrument of fiscal policy than government spending in terms of a small open emerging-market economy. The dilution of the effect of public spending is probably caused by the high negative values of the current account balance that have been maintained for long periods. Thus, when domestic supply is weak, government expenditure cannot stimulate domestic production, as supply is dominated by import goods. Public investments demonstrate a negative effect on economic growth, which suggests a low productivity of investment spending. A factor of great importance is the level of corruption, which is strongly correlated with government investments, but is harmful to their efficiency. The Bulgarian tax system demonstrates consistency with economic growth. The receipts from value-added tax seems growth-conductive. The decrease of the corporate income tax rate exerts a positive impact on economc performance during the analyzed period, while personal income taxation demonstrates a negative effect. Property taxation has no significant relation with the growth of the Bulgarian economy.
Abstract
The growth impact of tax reforms is probably one of the most controversial issues in economic policy discussions, reflecting deep beliefs in the way economic agents are expected to react to policy changes. The optimal tax theory literature provides a wide array of arguments to identify the mechanisms through which tax reforms might influence growth, depending on the tax category considered and the circumstances under which tax reforms are implemented. The empirical literature has relied on the use of cross-country growth regressions and provided general results leading to normative conclusions on the desirability of specific tax reform options. However, recent research has shown that this approach yields inconclusive results, notably due to identification and endogeneity issues, and the difficulty to account for the true determinants of governments' actions. The dynamic scoring approach combining microsimulation and macro models proves more useful in this respect, especially in order to draw policy recommendations while accounting for the second-round effects of tax reforms. I illustrate these arguments by analysing the growth impact of a hypothetical change from the current flat personal income tax (PIT) rates to progressive taxes in Central and Eastern European (CEE) countries. I find that the estimated impact of such a reform would be rather small but positive when using the dynamic scoring method, while the less-reliable traditional growth regressions would suggest adverse growth effects.
Abstract
This article concentrates on the transformative potential of the Millennial generation within the framework of the political landscapes of the United States, several European countries and Russia. Generational experiences frame the context for the comparative examination of the democratic order and the perspectives for democratic transition. In Western countries, the group is a potentially powerful political force, yet its members do not pursue traditional forms of civic engagement – they are sceptical about institutional forms of participation and have little trust in public authority. Embedded in a youth-marginalization discourse, the public identities of the Millennials are seen rather as a manifestation of the failures of democratic representation, rather than as forms of agency seeking new ways of political expression. The orientations of this distinct group also present a puzzle when the future of authoritarian regimes is discussed: Millennials’ openness to political change is often questioned, despite the prominent role they play in the rise of the opposition forces that gained influence during Vladimir Putin’s third term. Nevertheless, in both contexts, the ongoing generational shift has become an increasingly important area for social-scientific investigation and it is being directly related to broader arguments about the nature of political change.
Abstract
Although Ethiopia is one of the Heavily Indebted Poor Countries (HIPC), there is a lack of empirical studies about the determinants of its external indebtedness. This paper aims to fill this gap by examining the macroeconomic determinants of the external indebtedness of Ethiopia between 1981 and 2016, using the two- and three-gap models as a theoretical framework and an autoregressive distributed lag bound testing approach. The result shows that in the long run, the savings-investment gap, trade deficit, fiscal deficit, and debt service have a positive and significant impact on external indebtedness. However, the growth rate of gross domestic product, trade openness, and inflation negatively and significantly affect the external indebtedness of the country. These results coincide with the predictions of the two- and three-gap models of the theoretical framework. The study argues that appropriate macroeconomic, social, and supply-side policies are essential to reducing the external indebtedness of Ethiopia.
Abstract
The South African Ministry of Health has recognized experiences of care as key to strengthen patient-centred care. This case study aims to measure patient-reported experiences of care at a clinic in South Africa, and its associations with the respondents' sociodemographic characteristics. A survey was conducted in 2019 on a convenience sample of 179 respondents. Questions on experiences of care were based on a standardised set of questions by the Organization for Economic Co-operation and Development (OECD). Logistic regression was used to examine the effects of respondents' characteristics on their experiences. The proportion of respondents who reported that a nurse spent adequate time with them during consultation was significantly higher among literate respondents (92.3 vs. 79.5%). Those who reported past negative experiences were significantly more likely to report a positive experience in regard to perceiving adequate consulting time (odds ratio = 3.865, with a 95% confidence interval between 1.555 and 9.607), receiving easy-to-understand explanations (4.308; 1.665–11.145), being given the opportunity to ask questions (2.156; 1.013–4.589) and shared decision–making (3.822; 1.728–8.457). The results can spur comparisons with other clinics in a similar setting and inform key stakeholders on aspects of the care experience that need greater improvement within the national framework for quality and safety assurance and patient experience measurement.
Abstract
The expected future impact of the fourth industrial revolution is a hotly debated issue in the literature. The majority of papers focus on quantifying the expected impacts on labour demand, or on a specific country, or on huge macro-regions – and the estimates differ widely. Our paper focuses on the impact assessment of Industry 4.0 on the expected structure of employment, wages and inequalities in Hungary. We built a static microsimulation model for our analysis, where the “EU Survey of Income and Living Conditions Hungary 2017” dataset was used as a starting point. Projections by the European Centre for the Development of Vocational Training (CEDEFOP) were used for policy simulations on future employment by sector and by occupational group for each European Union (EU) member state. The analysis also elaborates our own augmented vision about the expected labour demand changes and expected wage trends. Based on this information, the spill-over effects were calculated regarding wage structure and inequalities by sector, region and the highest educational attainment.
Abstract
The main characteristics of intra-EU labour mobility are well documented. There is less focus, however, on the pattern of mobility of the East European (EU-13) EU-mobile citizens. This group constitutes more than half (57%) of all the EU movers and show, to some extent, other features than the rest of the EU mobile citizens (EU-15). The first part of this paper gives a brief overview of some key demographic and labour market characteristics of the East European mobile citizens in the most important destination countries. The perspectives of the sending countries are not analysed frequently enough, and thus the second part of the paper focuses on this issue in the case of Hungary, by asking to what extent the serious labour shortages, ensuing from the outflow of Hungarians, could be compensated by the recent increase of immigration of third country nationals. Using OECD data, the paper quantifies the balance of labour gains and losses for Hungary and compares this with Czechia, Poland, and Slovakia. The analysis concludes that despite the substantial recent inflow of third country nationals into Hungary, it remains to be seen whether this has a real substitution effect for the lost domestic labour force.
Abstract
The aim of this paper is to analyse the relationship between unemployment benefits and durations of unemployment with respect to different approaches in social policy. The hypothesis of the research is that unemployment benefits negatively affect the duration of unemployment. An analysis of the relationship concerning unemployment benefits and duration of unemployment within the European Union Member States (EU-28) between 2006–2018 using panel data regression approach was conducted. The sample was split into sub-samples in order to get more homogeneous groups of EU-28 countries. Estimation results suggest that the more generous a social policy, the more prevalent the negative relationship between unemployment duration and unemployment benefits. Our results also revealed that the better the economic situation, the less pressure is put on unemployment benefits and on the duration of unemployment.
Abstract
Rating the reliability of banks has always been an important practical problem for businesses and the economic policy makers. The best way to do this is the CAMEL analysis. The aim of this paper was to create a bank-rating indicator from the five fields of the CAMEL analysis using two-two indicators for each field for the Turkish Islamic banking system. According to the results of the analysis, we could rank the Turkish Islamic banks. Beside the widespread use of the CAMEL analysis, we applied the Similarity Analysis as a new method. We compared the results from the two methods and came to the conclusion that the CAMEL analysis does not adequately provide a fairly shaded picture about the banks. The Component-based Object Comparison for Objectivity (COCO) method gave us the yearly results in time series form. The comparison of the time series data leads to the problem of deciding about what is more important for us – average, standard deviation or the slope. For handling this problem, we used Analytic Hierarchy Process, which gave weights to these indicators.
