7 resultados para the non-central chi-square chart

em Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest


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The paper examines the main characteristics of the (re)emerging foreign aid policies of the Visegrád countries (the Czech Republic, Hungary, Poland, Slovakia), concentrating on the allocation of their aid resources. We adopt an econometric approach, similar to the ones used in the literature for analyzing the aid allocation of the OECD DAC donors. Using this approach, we examine the various factors that influence aid allocation of the Visegrád countries, using data for the years between 2001 and 2008. Our most important conclusion is that the amount of aid a partner county gets from the four emerging donors is not influenced by the level of poverty or the previous performance (measured by the level of economic growth or the quality of institutions) of the recipients. The main determining factor seems to be geographic proximity, as countries in the Western-Balkans and the Post-Soviet region receive much more aid from the Visegrád countries than other recipients. Historical ties (pre-1989 development relations) and international obligations in the case of Afghanistan and Iraq are also found to be significant explanatory factors. This allocation is in line with the foreign political and economic interests of these new donors. While there are clear similarities between the four donors, the paper also identifies some individual country characteristics.

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The paper examines the main characteristics of the (re)emerging foreign aid policies of the Visegrád countries (the Czech Republic, Hungary, Poland, Slovakia), concentrating on the allocation of their aid resources. We adopt an econometric approach, similar to the ones used in the literature for analyzing the aid allocation of the OECD DAC donors. Using this approach, we examine the various factors that influence aid allocation of the Visegrád countries, using data for the years between 2001 and 2008. Our most important conclusion is that the amount of aid a partner county gets from the four emerging donors is not influenced by the level of poverty or the previous performance (measured by the level of economic growth or the quality of institutions) of the recipients. The main determining factor seems to be geographic proximity, as countries in the Western-Balkans and the Post-Soviet region receive much more aid from the Visegrád countries than other recipients. Historical ties (pre-1989 development relations) and international obligations in the case of Afghanistan and Iraq are also found to be significant explanatory factors. This allocation is in line with the foreign political and economic interests of these new donors. While there are clear similarities between the four donors, the paper also identifies some individual country characteristics.

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The concept of types was introduced by Harsányi[8]. In the literature there are two approaches for formalizing types, type spaces: the purely measurable and the topological models. In the former framework Heifetz and Samet [11] showed that the universal type space exists and later Meier[13] proved that it is complete. In this paper we examine the topological approach and conclude that there is no universal topological type space in the category of topological type spaces.

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In the past decade, the East-Central European countries were provided significant external capacity building assistance in order to help their emergence as donors of foreign aid. This paper aims to map these capacity development programs and identify where they have helped and what challenges remain for the new donors. The main conclusion is that while capacity building has been instrumental in building organizational structures, working procedures and training staff, deeper underlying problems such as low levels of financing, lacking political will, the need for visibility and low staff numbers continue to hinder the new international development policies.

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In this paper the behavior of economic actors shown in the uncertain quality goods markets is examined from the perspective of the sociology of markets. The analysis uses the findings of in-depth interviews conducted in 2011 and 2012 respectively amongst small and medium size entrepreneurs working in construction industry. In the Hungarian construction industry neither formal rules, nor vocational chambers, are able to create a safe environment for entrepreneurs. Nevertheless, networks created as a result of micro-selection steps might be able to enforce the quality of services, observe deadlines and what is more, ensure payment discipline. In this market, the typical high risk can be reduced by relationships. Networks reduce also the cost of transactions, since the important part of the services in this field could only be standardized at significant costs.

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The Analytic Hierarchy Process (AHP) is one of the most popular methods used in Multi-Attribute Decision Making. It provides with ratio-scale measurements of the prioirities of elements on the various leveles of a hierarchy. These priorities are obtained through the pairwise comparisons of elements on one level with reference to each element on the immediate higher level. The Eigenvector Method (EM) and some distance minimizing methods such as the Least Squares Method (LSM), Logarithmic Least Squares Method (LLSM), Weighted Least Squares Method (WLSM) and Chi Squares Method (X2M) are of the tools for computing the priorities of the alternatives. This paper studies a method for generating all the solutions of the LSM problems for 3 × 3 matrices. We observe non-uniqueness and rank reversals by presenting numerical results.

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This paper reviews the expected effects of the current financial crisis and subsequent recession on the rural landscape, in particular the agri-food sector in Europe and Central Asia (ECA) on the basis of the structure of the rural economy and of different organisations and institutions. Empirical evidence suggests that the crisis has hit the ECA region the hardest. Agriculture contributes about 9% to gross domestic product (GDP) for the ECA region as a whole with 16% of the population being employed in the agricultural sector. As far as the impact of the financial crisis on the agri-food sector is concerned, there are a few interconnected issues: (1) reduction in income elastic food demand and commodity price decline, (2) loss of employment and earnings of rural people working in urban centres, implying also costly labour reallocation, (3) rising rural poverty originating mainly from lack of opportunities in the non-farm sector and a sizable decline of international remittances, (4) tightening of agricultural credit markets, and the (5) collapse of sectoral government support programs and social safety-net measures in many countries. The paper reveals how the crisis hit farming and broader agri-business differently in general and in the ECA sub-regions.