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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.
The sustainability of an unfunded pension system depends highly on demographic and labour market trends, i.e. how fertility, mortality, and employment rates change. In this paper we provide a brief summary of recent developments in these fields in Hungary and draw up a picture of the current situation. Then, we forecast the path of the economic old-age dependency ratio, i.e. the ratio of the elderly and employed populations. We make different alternative assumptions about fertility, mortality, and employment rates. According to our baseline scenario the dependency ratio is expected to rise from 40.6% to 77% by 2050. Such a sharp increase makes policy intervention inevitable. Based on our sensitivity analysis, the only viable remedy is increasing the retirement age.
Free movement of persons is one of the fundamental values and achievements of the European Union, however, intentions towards mobility vary across and within the member states. Economic literature has remarkable theories to explain migration flows and individual selection factors of potential migrants, but it ignores major achievements of other social sciences. This paper builds an economic framework to incorporate the Hirschmanian concept of loyalty into the microeconomic (human capital) model of international migration by using interdependent preferences. Hirschman assumes that even after exiting, loyal people care about their previous communities, thus it imposes a certain psychological ‘exit tax’ on them. Based on this concept, it is hypothesized that people with altruistic motives have weaker intentions to migrate, so the presence of loyalty towards others makes international migration less likely, conveying that loyalty towards local or national community may be responsible for moderate labor mobility among EU member states. Results show that attachment to one's country makes one's intention to move abroad in the near future less likely, while loyalty towards one's city has more moderate impact on their intentions.
Abstract
We present an application preference, list-based framework to Hungarian universities, which allows different type of flexible aggregation, and hence, analysis and clustering of application data. A novel mathematical method is developed by which preference lists can be converted into scored rankings. The proposed approach is demonstrated in the case of Hungary covering the period of 2006–2015. Our method reveals that the efforts to leverage the geographical center–periphery differences did not fulfil the expectations of policy makers. Also, it turns out that a student's top preference is very difficult to influence, while recruiters may build their strategy on the information of the first but one choice.
The paper provides a brief description of the Active Ageing Index (AAI). This indicator, introduced in 2012, aims to measure the potential of older people for active and healthy ageing. The indicator is constructed from European Union survey data, and these results are weighted with coefficients determined by experts. One of the variables from the surveys measures the proportion of older people using the internet at least once a week. We argue that such regular internet usage does not show too much variation in this era of the ubiquitous internet, so a more sophisticated definition of internet usage must be taken into consideration. Our discussion contains three different AAI variants: the original expert-based, the Djurovic et al. (2017) I-distance indicator, and our factor-based index.
