Given the changing landscape of fuel retailing, this study explores the impact of spatial competition and market concentration on diesel prices in Germany. The question of how population density and gas station density, i.e. the equilibrium pattern of locations of firms, are related is examined....

Health care systems rely on geographical boundaries that secure financial stability and adequate planning. Quality differences across regions often arise for efficiency reasons, causing patient flows if mobility is free. In this paper, a theoretical spatial competition model is developed to...

We develop a model of spatial competition with two heterogeneous in their market access chains, choosing between third-degree price discrimination in their local markets (flexible pricing) and a unified chain-level price (uniform pricing). The markets are interconnected with each other via...

Much of the land economics literature has largely ignored the spatial nature of competition and related differences between farmland rental and sales markets. In this note we propose a model for price formation in both markets under a spatial competition framework. We demonstrate that price...

This study provides a test for measurement of spatial competition in residential real estate markets. Several alternative spatial competition measures are tested. We employ a Bertrand oligopoly model with differentiated products and adopt a Spatial Autoregressive model using a two stage least...

Given the changing landscape of fuel retailing, this study explores the impact of spatial competition and market concentration on diesel prices in Germany. The question of how population density and gas station density, i.e. the equilibrium pattern of locations of firms, are related is examined....

Health care systems rely on geographical boundaries that secure financial stability and adequate planning. Quality differences across regions often arise for efficiency reasons, causing patient flows if mobility is free. In this paper, a theoretical spatial competition model is developed to...

Background: Access to healthy food in emerging-economy cities is challenged by last-mile constraints and poor infrastructure. Aligned with the UN SDGs on Zero Hunger and Sustainable Cities, this study examines how a strategically located nanostores network can help close these gaps while...

In this article, we analyze competition for agricultural land as an important, scarce and immobile input. The cost of cultivating a parcel of land depends strongly on the distance from the farmer to the plot, leading to spatially small land markets. To investigate this issue, we are able to use...

This study provides a test for measurement of spatial competition in residential real estate markets. Several alternative spatial competition measures are tested. We employ a Bertrand oligopoly model with differentiated products and adopt a Spatial Autoregressive model using a two stage least...

We develop a model of spatial competition with two heterogeneous in their market access chains, choosing between third-degree price discrimination in their local markets (flexible pricing) and a unified chain-level price (uniform pricing). The markets are interconnected with each other via...

Much of the land economics literature has largely ignored the spatial nature of competition and related differences between farmland rental and sales markets when assessing return rates from farming, the capitalization of agricultural, environmental and energy policy into land values, and...

Much of the land economics literature has largely ignored the spatial nature of competition and related differences between farmland rental and sales markets when assessing return rates from farming, the capitalization of agricultural, environmental and energy policy into land values, and...

Much of the land economics literature has largely ignored the spatial nature of competition and related differences between farmland rental and sales markets. In this note we propose a model for price formation in both markets under a spatial competition framework. We demonstrate that price...

This paper analyses the pass-through rates and their determinants of the temporary German fuel discount in 2022 at its start and its termination. Based on a unique dataset of fuel station characteristics and prices, we employ a Regression Discontinuity in Time (RDiT) methodology to estimate...

This study examines the dynamics of the exploitation of a natural resource distributed among and flowing between several nodes connected via a weighted, directed network. The network represents the locations and interactions of the resource nodes. A regulator decides to designate some of the...

The spatial distribution of production is a defining characteristic of agriculture, and the location choice in geographic space and the spatial pricing policies adopted by agricultural processing/packing firms are key determinants of the competitiveness and efficiency of agricultural product...

Motivated by ride-hailing marketplaces, we present a model of two-sided matching platforms that participate in a duopoly market with spatial frictions. Both platforms face disjoint streams of service requests, but they share the same resources on the supply side, i.e., suppliers multi-home. Due...

We examine the effect of inter-group fiscal competition on within-group violent conflict. Using a triple difference design, we exploit exogenous variation in the degree to which villages in sub-districts compete for public funds. We find that higher competition between villages reduces conflict...

This paper proposes a two-player spatial competition model where each player controls multiple nodes and studies the equilibrium dynamics. Specifically, the model studies the case where players sell goods of the same utility but have different ability to continue attracting customers. The paper...

The retail industry is one of the top spenders in advertising, and retailers are keen to design an effective ad campaign targeting a relevant audience. We study how the effects of retail advertising on store traffic depend on customer location, ad content, and behavioral attributes using...