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Transition Model (transition + model)

Distribution by Scientific Domains
Humanities and Social Sciences40%

Selected Abstracts

The New Retail Economy of Shanghai

GROWTH AND CHANGE, Issue 1 2005
SHUGUANG WANG
ABSTRACT As Shanghai strives to build itself into an international center of finance, trade, and commerce, a new retail economy has evolved accordingly. In the past two decades, its retail sector has been transformed from a simple and inefficient distribution system to a much more complex and highly competitive market-oriented economy. The new retail economy in many ways resembles the contemporary capitalist retail economy in the Western cities, but it also exhibits significant differences with Chinese characteristics. While the affluent consumer market is the necessary condition for sustained retail growth, it is the retail deregulation that has been the fundamental driving force for the structural changes in Shanghai's retail sector. Its liberal policies attracted major international retailers to either choose Shanghai as the gateway city to enter the China market, or locate their China headquarters offices in Shanghai to command their operations throughout the country. Indeed, the retail transformation in post-reform Shanghai is a clear testimony of the Economic Transition Model. The main data sources for this empirical study are the 1999 Census of Commercial Activity in Shanghai and the Shanghai Statistical Yearbook. They are supplemented by data collected from reputable Web sites and through field work in Shanghai. [source]

A fractal forecasting model for financial time series

JOURNAL OF FORECASTING, Issue 8 2004
Gordon R. Richards
Abstract Financial market time series exhibit high degrees of non-linear variability, and frequently have fractal properties. When the fractal dimension of a time series is non-integer, this is associated with two features: (1) inhomogeneity,extreme fluctuations at irregular intervals, and (2) scaling symmetries,proportionality relationships between fluctuations over different separation distances. In multivariate systems such as financial markets, fractality is stochastic rather than deterministic, and generally originates as a result of multiplicative interactions. Volatility diffusion models with multiple stochastic factors can generate fractal structures. In some cases, such as exchange rates, the underlying structural equation also gives rise to fractality. Fractal principles can be used to develop forecasting algorithms. The forecasting method that yields the best results here is the state transition-fitted residual scale ratio (ST-FRSR) model. A state transition model is used to predict the conditional probability of extreme events. Ratios of rates of change at proximate separation distances are used to parameterize the scaling symmetries. Forecasting experiments are run using intraday exchange rate futures contracts measured at 15-minute intervals. The overall forecast error is reduced on average by up to 7% and in one instance by nearly a quarter. However, the forecast error during the outlying events is reduced by 39% to 57%. The ST-FRSR reduces the predictive error primarily by capturing extreme fluctuations more accurately. Copyright © 2004 John Wiley & Sons, Ltd. [source]

NEIGHBORHOOD DYNAMICS AND PRICE EFFECTS OF SUPERFUND SITE CLEAN-UP,

JOURNAL OF REGIONAL SCIENCE, Issue 4 2007
Douglas S. Noonan
ABSTRACT Numerous hedonic price analyses estimate price effects associated with hazardous waste site remediation or other environmental variation. This paper estimates a neighborhood transition model to capture the direct price effect from Superfund site clean-up and the indirect price effects arising from residential sorting and changes in investment in the housing stock following clean-up. First-difference models of neighborhood change and a national sample are used. This approach fails to find consistent positive direct price effects. Positive indirect effects, however, may arise through residential sorting and neighborhood investment spurred by remediation. The findings can be sensitive to policy endogeneity and model specification. [source]

Existence of solutions to a phase transition model with microscopic movements

MATHEMATICAL METHODS IN THE APPLIED SCIENCES, Issue 11 2009
Eduard Feireisl
Abstract We prove the existence of weak solutions for a 3D phase change model introduced by Michel Frémond in (Non-smooth Thermomechanics. Springer: Berlin, 2002) showing, via a priori estimates, the weak sequential stability property in the sense already used by the first author in (Comput. Math. Appl. 2007; 53:461,490). The result follows by passing to the limit in an approximate problem obtained adding a superlinear part (in terms of the gradient of the temperature) in the heat flux law. We first prove well posedness for this last problem and then,using proper a priori estimates,we pass to the limit showing that the total energy is conserved during the evolution process and proving the non-negativity of the entropy production rate in a suitable sense. Finally, these weak solutions turn out to be the classical solution to the original Frémond's model provided all quantities in question are smooth enough. Copyright © 2008 John Wiley & Sons, Ltd. [source]

Lattice distortion (Peierls Transition) caused by spin interaction in the chaotic impurity system of a semiconductor

ANNALEN DER PHYSIK, Issue 12 2009
A. Zabrodskii
Abstract The effect of an elastic spontaneous distortion of the crystal lattice of a doped semiconductor Ge:As near the insulator,metal (IM) phase transition has been discovered. The effect is manifested in the electron spin resonance (ESR) of neutral As atoms as a splitting of the single resonance absorption line. It observed at electron concentrations in the range 0.8 < n/nC < 1 at low temperatures T < 100 K (nC = 3.7 × 1017 cm -3 is the critical electron concentration for the IM phase transition). The splitting is the strongest along each of the six [110] directions, which indicates that the local lattice distortion occurs just in these directions. As a result, a sample is possibly divided into separate domains differing in the directions of compressive or tensile deformations. A study of concentration, temperature, and angular dependences of the effect has shown that the phenomenon discovered can be understood in terms of the Peierls spin transition model. [source]