Aid Allocation of the Emerging Central and Eastern European Donors

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.

Aid Allocation of the Emerging Central and Eastern European Donors

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.

Europe’s Growth Emergency

Highlights: • The European Union growth agenda has become even more pressing because growth is needed to support public and private sector deleveraging, reduce the fragility of the banking sector, counter the falling behind of southern European countries and prove that Europe is still a worthwhile place to invest. • The crisis has had a similar impact on most European countries and the US: a persistent drop in output level and a growth slowdown. This contrasts sharply with the experience of the emerging countries of Asia and Latin America. • Productivity improvement was immediate in the US, but Europe hoarded labour and productivity improvements were in general delayed. Southern European countries have hardly adjusted so far. • There is a negative feedback loop between the crisis and growth, and without effective solutions to deal with the crisis, growth is unlikely to resume. National and EU-level policies should aim to foster reforms and adjustment and should not risk medium-term objectives under the pressure of events. A more hands-on approach, including industrial policies, should be considered.

A nemzetgazdasági versenyképesség sportszakmai és gazdasági aspektusai = Sport and economic aspects of competitiveness on national level

Tanulmányunk a gazdasági versenyképességgel, kiemelten annak nemzetgazdasági szintű vetületével és a sport esetében történő értelmezésével foglakozik. A gazdasági versenyképesség esetén kiemelten kezeljük az IMD és a WEF versenyképességi rangsorait, a sport esetén pedig szétválasztjuk a hivatásos és a szabadidősportot. A hivatásos sport esetén bemutatjuk a sportszakmai versenyképességet indikáló és a sportszakmai versenyképességre hatással lévő gazdasági és társadalmi mutatókat egyaránt. Összehasonlítási csoportot képeztünk, amelyben Magyarország és a környező országok szerepelnek és a komparatív elemzés kiterjed a gazdasági és a sportszakmai versenyképességre, valamint a sportszakmai versenyképességre ható gazdasági és társadalmi tényezőkre egyaránt. A sportszakmai versenyképességet az olimpiai érmek számával és azok pontértékével mérjük, amit az olimpiák teljes történelmére és az elmúlt 20 év különböző szakaszaira egyaránt vizsgálunk, míg a gazdasági és társadalmi tényezőket csak a mondanivalónk szempontjából legrelevánsabb évekre, az új évezredre vizsgálunk. A hivatásos sporttal kapcsolatos versenyképességi kérdésekből azt a következtetést vontuk le, hogy Magyarország történelmi sportszakmai eredményességének fenntartását a jelen gazdasági és társadalmi tényezők nem igazolják, sőt az elmúlt időszak visszaesését támasztják alá és a Londoni olimpián való szereplésünkkel kapcsolatban inkább az összehasonlítási csoporton belüli további visszacsúszást, mintsem az eredmény javulását támogatják. A tanulmányban azt állítjuk, hogy egyéni, vállalati és makrogazdasági versenyképességet is javíthat a szabadidősport. Mikro szinten, majd makrogazdasági szinten elemeztük a szabadidősport hatásait, valamint próbáltunk választ keresni arra a kérdésre, hogy hogyan válhat az egyén, a vállalat és végső célként a gazdaság versenyképesebbé a fizikai aktivitás által. A kevesebb betegség és egészségügyi kiadás, vagy éppen a kedvezőbb várható élettartami mutatók mellett termelékenység-növekedés, a versenyképességi rangsorokban pedig előkelőbb helyezések érhetők el. ______ Our paper tackles the concept of competitiveness in the national level and interprets it also in the field of sport as well. In the economics field we focus on the competitiveness rankings of IMD and WEF and in the sport field we differentiate between professional and leisure sport. In the case of professional sport we introduce the measures of sport competitiveness and its influencing economic and social factors as well. We have made a peer group which contains Hungary and its neighboring countries and the comparative study tackles the sport competitiveness and the influencing economic and social factors as well. We measure sport competitiveness with the Olympic medal count and the medals point value, which is counted in the whole Olympic history, and different phases of the last 20 years. The economic and social factors are compared only in the new millennia as this is the most relevant time frame of this study. From the competitiveness analysis of professional sport we concluded that the maintenance of Hungary’s historical sport successes is not proved by nowadays economic and social factors, however they support the past years decline. These factors also indicate that in London (2012)we would rather slip one more position back in the peer group, than rise again from our ashes. In our opinion leisure sport could enhance the competitiveness of individuals, companies, and economy also. We analysed the effects of leisure sport on the microeconomic and macroeconomic level, and tried to find answer to that question how could be individuals, companies, and economy more competitive through leisure sport. Besides less illness and health care expenditures, longer life expectancy, productivity growth, countries could be well placed in competitiveness’ rankings.

Simulations of Theoretical Ecosystem Growth Model (TEGM) during various climate conditions

Climate change has a great impact on the build and the work of natural ecosystems. Disappearance of some population or growth of the number in some species can be already caused by little change in temperature. A Theoretical Ecosystem Growth Model was investigated in order to examine the effects of various climate patterns on the ecological equilibrium. The answers of the ecosystems which are given to the climate change could be described by means of global climate modelling and dynamic vegetation models. The examination of the operation of the ecosystems is only possible in huge centres on supercomputers because of the number and the complexity of the calculation. The number of the calculation could be decreased to the level of a PC by considering the temperature and the reproduction during the modelling of a theoretical ecosystem and several important theoretical questions could be answered.

Simulation modeling of phytoplankton dynamics in a large eutrophic river, Hungary – Danubian Phytoplankton Growth Model (DPGM)

Ecological models have often been used in order to answer questions that are in the limelight of recent researches such as the possible effects of climate change. The methodology of tactical models is a very useful tool comparison to those complex models requiring relatively large set of input parameters. In this study, a theoretical strategic model (TEGM ) was adapted to the field data on the basis of a 24-year long monitoring database of phytoplankton in the Danube River at the station of G¨od, Hungary (at 1669 river kilometer – hereafter referred to as “rkm”). The Danubian Phytoplankton Growth Model (DPGM) is able to describe the seasonal dynamics of phytoplankton biomass (mg L−1) based on daily temperature, but takes the availability of light into consideration as well. In order to improve fitting, the 24-year long database was split in two parts in accordance with environmental sustainability. The period of 1979–1990 has a higher level of nutrient excess compared with that of the 1991–2002. The authors assume that, in the above-mentioned periods, phytoplankton responded to temperature in two different ways, thus two submodels were developed, DPGM-sA and DPGMsB. Observed and simulated data correlated quite well. Findings suggest that linear temperature rise brings drastic change to phytoplankton only in case of high nutrient load and it is mostly realized through the increase of yearly total biomass.