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 causal relationship between living in a peripheral area and real estate investment decisions is currently unexplored in empirical literature. Using survey data on 2711 Italian respondents collected between 2022 and 2023, we show that living in a peripheral area has a negative impact on the...

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...

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...

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...

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...

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...

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...

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 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...

As urbanization accelerates globally, higher education agglomeration (HEA) emerges as a critical mechanism for integrating regional economic theories with practical strategies, driving innovation and sustainable development. This paper examines how HEA promotes innovation, human capital...

This paper investigates the role of regional specialization in ICT in fostering AI patenting performance and inter-regional spatial spillovers across China’s provincial-level regions. Using panel fixed effects estimators, a Spatial Autoregressive Regression model and by adapting the...

Resilience" and "polycentricity" have surged as popular concepts over the recent decades, although the link between the two has not yet been investigated empirically. Identification of this relationship and its theoretical justification are politically crucial to shed light on prospective...

This study investigates the role of savings as a channel for the second demographic dividend in minimum comparable areas (MCA) in Brazil between 2000 and 2010. Using spatial econometric models, the research analyzed the effects of per capita savings, education, and labor force participation on...

In this paper, we present the concept of "sequencing economics", consisting of (A) segmentation, (B) construction sequencing, and (C) functions. An agglomeration is organized into segments, and sequencing economics examines the sequential process of efficiently building such segments. The...

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...

This paper explores the concepts and computational methods used to measure spatial inequality, emphasizing a reproducible approach that social scientists can apply to their research. The analysis focuses on geographic income disparities at the sub-national level, using Mexico as a case study. By...

The impact of current changes in technology, society, and the environment demand innovative research approaches that can accurately capture the increasing complexity of modern geographic data. To this end, this article provides an introduction to the use and implementation of spatial network...

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...

Recent studies harnessing geospatial big data and machine learning have significantly advanced poverty mapping, enabling granular and timely welfare estimates in traditionally datascarce regions. While much of the existing research has focused on overall out-of-sample predictive performance,...

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 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 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...

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....

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...