We provide explorative insights on how farms which manage strong and successful growth affect farms in their neighbourhoods through spatial competition for land. The study is based on an exploratory analysis of repeated framed experiments within the business game FarmAgriPoliS (Appel & Balmann,...

We re-examine the Systemic Cycles of Accumulation (SCA) of Arrighi (2010) and Arrighi and Silver (1999) which provide a framework for the analysis of the cyclical patterns of geographical expansion of trade and production and the related shifts of hegemonic power within the world capitalist...

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...

This paper studies how the strength of social ties are affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction...

Cross-border, transnational regional development in the Rhine-Alpine EU transport corridor represents an ongoing challenge. With 18 partners from five countries, the Rhine-Neckar regional association (Verband Region Rhein-Neckar, VRRN) therefore initiated an EU-funded project along the corridor...

Purpose This study proposes spatial origin-destination threshold Tobit to address spatial interdependence among bilateral trade flows while accounting for zero trade volumes. Design/methodology/approach This model is designed to capture multiple forms of spatial autocorrelation embedded in...

This paper proposes a new spatial lag regression model which addresses global spatial autocorrelation arising from cross-sectional dependence between counts. Our approach offers an intuitive interpretation of the spatial correlation parameter as a measurement of the impact of neighbouring...

The purpose of the article is to carry out the analysis of interrelatedness of cities in the territorial space of Russia. The evaluation method is based on the calculation of global and local Moran's indexes for determination of interrelatedness of the adjacent territories by the following...

We extend LeSage and Pace's (2008) spatial autoregressive model for origin-destination flows by accommodating two-way fixed effects. Those fixed effects represent unobserved characteristics of origin and destination units. A partial likelihood approach is used to remove fixed effects in the...

I propose Robust Rao’s Score (RS) test statistic to determine endogeneity of spatial weights matrices in a spatial dynamic panel data (SDPD) model (Qu, Lee, and Yu, 2017). I firstly introduce the bias-corrected score function since the score function is not centered around zero due to the...

How likely is financial contagion when banks anticipate an aggregate liquidity shock and what are the consequences for bank choices, welfare, and regulation? We study an economy with two regional banks that insure risk-averse consumers against their idiosyncratic liquidity shocks and hold...

We propose a model of sequential spatial search with learning. There is a mapping from a space of technologies (or products) to qualities that is unknown to the searcher. The searcher can learn various points on this mapping through costly experimentation. She cares both about the technology...

This paper aims analysis spatial interaction of Romanian Cities from 1948 until 2021 trying to perceive if along seven decades of quite different political regimes – from Central Planning to Market Interaction– there have been changes in the features of spatial interaction. The analysis...

We propose a new unified approach to identifying and estimating spatio-temporal dependence structures in large panels. The model accommodates global crosssectional dependence due to global dynamic factors as well as local cross-sectional dependence, which may arise from local network structures....

This article presents a spatio-temporal panel vector-autoregressive approach (SptpVAR) as an extended spatial econometric method for analysing spillover effects of regional economic change in time and space. The approach aims to extend the spatial dimension of SpVAR models by capturing the...

How does interconnectedness affect the course of a pandemic? What are the optimal withinand between-state containment policies? We embed a spatial SIR model into a multi-sector quantitative trade model. We calibrate it to US states and the COVID-19 pandemic and find that interconnectedness...

In a recent paper Juodis and Reese (2021) (JR) show that the application of the CD test proposed by Pesaran (2004) to residuals from panels with latent factors results in over-rejection and propose a randomized test statistic to correct for over-rejection, and add a screening component to...