Environmental policies such as the European Union Emissions Trading System (EU ETS) raise concerns about their impact on local employment and competitiveness. Yet, existing EU ETS studies focus on firm-level outcomes during the initial phases of the program. We construct a panel dataset of about...

We study the regional distribution of primary care physicians in Germany to learn about the extent and possible reasons of geographic maldistribution. For this aim, we apply a greedy capacitated algorithm on very fine spatial data. We compare this reference allocation of primary care physicians...

This paper provides quantitative evidence on the geography of regional readiness to tackle climate change using data from France, Germany, Italy, Poland, and Spain. Following Cappellano et al. (2022), we estimate a composite indicator that reports the situation of regions in these countries...

The direction of the relationship between economic growth and income (social) inequality remains an open area of research, with theoretical models suggesting the possibility of positive or negative covariations. This study contributes to the debate by examining the case of Mexico, a country...

Environmental policies such as the European Union Emissions Trading System (EU ETS) raise concerns about their impact on local employment and competitiveness. Yet, existing EU ETS studies focus on firm-level outcomes during the initial phases of the program. We construct a panel dataset of about...

The spatial distribution of future renewable capacities is a key determinant for developing appropriate grid expansion plans. This is particularly relevant for onshore wind energy. Existing studies mostly extrapolate future installations based on existing capacities and available sites. As wind...

The article focuses on properties generalised to the multidimensional case of known coefficients of spatial correlation. The main result of the work is the decomposition of the introduced generalised autocorrelation coefficients into the sum of ordinary autocorrelation coefficients, but...

This study investigates the effect of electricity consumption on air pollution in Türkiye at the provincial level through spatial analyses. Using SO2 and PM10 measurements as indicators of air pollution, this study incorporates income, population density, and electricity consumption as...

This paper proposes that spatial policies improve economic outcomes by reducing barriers to supplying labour, with heterogeneous effects across demographic groups. Using quasi-experimental variation in Germany's fiscal transfer system, we estimate higher employment elasticities for female...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in Müller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...

Purpose This research investigates the effect of accessibility to points of tourist interest (buffer) and direct and indirect spatial spillover effects of agglomeration economies on tourism industry revenues in Spain. Design/methodology/approach Data were collected from the Bureau van Dijk's...

Ensuring a harmonious coexistence between man and nature is crucial for China's economic and social development. However, with increasing industrialization and urbanization, there is a growing mismatch between China's ecological resilience (ER) and economic level (EL) of development, which poses...

As the governance modernization and new-type urbanization deepens, China's urbanization process is gradually entering the "second half". Understanding the policy practices and transformation logic of China's urban spatial growth in a systematic perspective is significant in clarifying the...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6.000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6.000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

This document clusters the findings from Living Spaces, demonstrating that building and planning for everyone improves cohesion, attractiveness, and the sustainability of our cities and regions. It reports on local solutions to implement architecture principles laid out in the Davos Declaration....

This document clusters the findings from Living Spaces, demonstrating that building and planning for everyone improves cohesion, attractiveness, and the sustainability of our cities and regions. It reports on local solutions to implement architecture principles laid out in the Davos Declaration....

In the recent past, a growing number of voices within the spatial sciences have called for a departure from traditional economic considerations related to the current market and growth paradigm. Instead, they favour a post-growth economy approach. This can convey the impression that there is an...

Spatially resolved modelling of local hydrogen ecosystems can help to identify optimal sizing and locations for plants and infrastructure along the value chain. Spatial clustering to identify the subregions can lead to a better representation of important features compared to administrative...

This paper investigates the role of banking networks in the transmission of shocks across borders. Combining banking deregulation in the US with state-level idiosyncratic demand shocks, we show that geographically diversified banks reallocate funds from economies experiencing negative shocks to...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

We introduce a new time-varying parameter spatial matrix autoregressive model that integrates matrix-valued time series, heterogeneous spillover effects, outlier robustness, and time-varying parameters in one unified framework. The model allows for separate dynamic spatial spillover effects...

This paper investigates the role of banking networks in the transmission of shocks across borders. Combining banking deregulation in the US with state-level idiosyncratic demand shocks, we show that geographically diversified banks reallocate funds from economies experiencing negative shocks to...

This paper explores the role of Standard Essential Patents (SEPs) in shaping technological development and regional innovation in Europe's telecommunications sector. Results reveal strong geographic concentration, particularly in Helsinki and Stockholm, which account for one-third of...

This study aims to analyze the spatial effects triggered by dollar liquidity by constructing a multidimensional spatial matrix that modifies the traditional monetary spatial framework. We utilized a three-level spatial econometric model (Spatial Lag, Durbin, and Generalized Nested Space) to...

With the economic upheaval brought by COVID-19, it was very difficult to understand economic events as they unfolded in real time, during unprecedented pandemic conditions. Since existing methods did not adequately address the rapid changes to the economy on a statewide basis, we felt compelled...

We investigate the effects of the 2014-20 European structural funds with a general equilibrium model calibrated on the NUTS 1 regions of the EU. We assume forward-looking agents to account for expectations and long-lasting effects of the policy. The almost €260 billion of investments lead the...