The purpose of the article was a space-time analysis of the unemployment rate in polish poviats. In the research we use a model in which spatial dependence is represented in the exponential form, based on the neighborhood matrix. This model, called the Matrix Exponential model, was proposed by...

Research background: Local development is a harmonized and systematic activity of the local community, local authorities and other entities operating in a municipality, aimed at creating and improving the usability of existing municipalities. The primary factor in the local development is...

Credit default is a dramatic consequence of disadvantageous private financial decisions. Using regression methods which eliminate spatial autocorrelation at the level of 1 km2 grids and further identification problems, we observe considerable and reinforcing residential segregation between...

In order to allocate resources and formulate policies effectively, governments and enterprises often need accurate geographical information on profit-seeking enterprises. This study explores the impact of local fiscal expenditure and environmental regulation on the number of profit-seeking...

In this paper, we use provincial panel data on China for the 2002-19 period to conduct a spatial autocorrelation analysis of household saving rates as well as a dynamic panel analysis of the determinants of household saving rates using a spatial Durbin model. To summarize our main findings, we...

Using sigma and beta convergence methods, this study tests economic convergence in Turkish NUTS-2 regions between 2004-2011. The findings of sigma convergence analysis show that the interregional income gap decreases during economic recession periods and increases during economic expansion...

Die Buchungsplattform Airbnb ist zu einem relevanten Buchungskanal im Tourismus weltweit geworden. Mit Blick auf die vielfältigen sozio-ökonomischen Auswirkungen der Plattform ist die Kenntnis über die räumliche Lage des Airbnb-Angebots von hoher Bedeutung. Für Deutschland gibt es bisher...

Hungary is one of the five countries in the world most affected by the pandemic in terms of registered COVID-19 mortality up to 2023. Our research aims to identify those socioeconomic variables that explain the geographical distribution of the registered district-level mortality burden of the...

Using Dortmund as a case study we analyse whether rents and housing prices responded to local demographic change in a German city between 2007 and 2016. In a two-step analysis based on a spatial autoregressive hedonic pricing model and a discrete choice model of housing location we find that...

This paper investigates how important measurement issues such as the modifiable areal unit problem (MAUP), random unevenness and spatial autocorrelation affect cross-sectional studies of ethnic segregation. We use geocoded data for German cities to investigate the impact of these measurement...