Deep determinants of economic growth – empirical verification with panel data models

We verify the impact of the so-called deep determinants on the level of economic real GDP per capita for an unbalanced panel of 207 economies within the period 1996-2004 using the Hausman-Taylor method of estimation. Institutional variables are detected to be endogenous. The results confirmed the assumed impact of deep determinants on the observed disparities in economic development. In most cases the basic specification of the model suggested by the empirical literature (log of openness, rule of law, distance from equator) is statistically significant and the impact of the variables has the anticipated direction. Several other specifications are tested and they perform pretty well. As the distance from equator has been detected not to be statistically insignificant in several specifications (for Asia and Europe) a combination of exogenous geographical variables enters the model with positive results. The basic specification of the model fits well the context of Africa and South America. It however performs badly for Asia. The quality of institutions is of prime importance for southern hemisphere economies as well as for former (currently economies in transition) and current socialist economies. The permanent improvement in the quality of institutions is the key determinant of success of economic transformation – underperformance in this area leads to smaller gains in terms of GDP per capita levels attained.economic growth, economic development, institutions, geography, openness, panel data models, Hausman-Taylor estimator

Spatial econometric analysis of the determinants of location of manufacturing industry and market services sectors in Poland

The paper comprises econometric analysis of location determinants of manufacturing industry and market services in Poland. A wide range of location determinants are analyzed taking into account exogenous and semi-endogenous region-specific aspects, sector-specific aspects (such as labor and capital intensity, economies of scale, intensity of forward and backward linkages, wage rates, knowledge intensity and technology level) as well as interactions between sector-specific and region-specific aspects. The analysis is carried out for an unbalanced data panel of manufacturing industry and market services sectors at the level of 3-digit NACE at the NUTS 2 level (16 voivodeships). The data cover the period from 1995 to 2006. We perform the estimation using Restricted Maximum Likelihood method (REML). The results point to positive spatial autocorrelation both for manufacturing industry and market services sectors. Sector-specific and region-specific effects as proxied by sectoral dummies are important.location, industrial manufacturing, market services, Poland, spatial panel, Restricted Maximum Likelihood method

Driven waves in a two-fluid plasma

We study the physics of wave propagation in a weakly ionised plasma, as it applies to the formation of multifluid, MHD shock waves. We model the plasma as separate charged and neutral fluids which are coupled by ion-neutral friction. At times much less than the ion-neutral drag time, the fluids are decoupled and so evolve independently. At later times, the evolution is determined by the large inertial mismatch between the charged and neutral particles. The neutral flow continues to evolve independently; the charged flow is driven by and slaved to the neutral flow by friction. We calculate this driven flow analytically by considering the special but realistic case where the charged fluid obeys linearized equations of motion. We carry out an extensive analysis of linear, driven, MHD waves. The physics of driven MHD waves is embodied in certain Green functions which describe wave propagation on short time scales, ambipolar diffusion on long time scales, and transitional behavior at intermediate times. By way of illustration, we give an approximate solution for the formation of a multifluid shock during the collision of two identical interstellar clouds. The collision produces forward- and reverse J shocks in the neutral fluid and a transient in the charged fluid. The latter rapidly evolves into a pair of magnetic precursors on the J shocks, wherein the ions undergo force free motion and the magnetic field grows monotonically with time. The flow appears to be self similar at the time when linear analysis ceases to be valid.Comment: 18 pages including 24 figures, accepted by MNRA

Metody identyfikacji efektow zewnetrznych funkcjonowania klastrów przemyslowych

Methods of identification of external effects of functioning of industrial clusters. The aim of the paper is to present methods used to identify the external effects of the industrial clusters. One of them is to evaluate a regional growth regression with a cluster index as one of the explanatory variables. Such regression should also implement a concept of a spatial character of regional growth what means that condition of the region depends also on the situation of the neighborhood. The second suggestion for testing the effects of clusters is to verify an agglomeration effects in total economy.klaster przemys³owy, efekty zewnêtrzne, metody iloœciowe

Meeting the Challenges of Met Data with Mysql

The objective of this project is to develop a relational database housing meteorological data used in direct support of emergency response activities for an atmospheric consulting firm, hereon referred to by the pseudonym WindInc. The intent is to demonstrate to WindInc how a relational database system would be superior to their present flat-file approach by providing the flexibility, performance, and reliability needed to meet their ever-increasing business demands, while simultaneously boosting the performance of their atmospheric dispersion modeling system

The Initial Core Mass Function due to Ambipolar Diffusion in Molecular Clouds

We show that the ambipolar-diffusion--initiated fragmentation of molecular clouds leads simply and naturally to an initial core mass function (CMF) which is very similar to the initial stellar mass function (IMF) and in excellent agreement with existing observations. This agreement is robust provided that the three (input) free parameters remain within their range of values suggested by observations. Other, observationally testable, predictions are made.Comment: 5 pages, 4 figures, accepted by MNRAS-

Au service de la recherche. L'Institut de l'Information Scientifique et Technique du CNRS

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