This paper examines how regional economic diversity shapes economic resilience across European regions during major crises. Using sectoral diversity indicators at the NUTS-2 level, we analyze the impact of diversity on three dimensions of resilience: the depth of economic downturns, the strength...

This document introduces the R library estimateW to estimate spatial weight matrices for Bayesian spatial econometric panel models. The approach focuses on spatial weights that are binary prior to row-standardization. However, unlike recent literature our approach requires no strong a priori...

Regional economic inequality remains a persistent challenge in developing economies, particularly in peripheral regions characterized by fragmented geography and uneven development. This study examines spatial spillovers in regional economic inequality by integrating spatial econometric analysis...

This paper provides a non-technical summary of recent research on why people stay put rather than move, even in the face of adverse local economic shocks. I compare three frameworks for understanding migration: the moving costs model, the spatial frictions model, and a newer approach called the...

The COVID-19 pandemic generated highly heterogeneous economic effects across territories, reflecting differences in local production structures and spatial organization. This paper examines the geography of short-run economic fragility during the first wave of the pandemic by identifying...

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...

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...

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...

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...

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...

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...

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...

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...

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...

This paper builds a spatial model of trade with supply-chain links to examine the effect of economic links and anti-COVID policies on the spread of the COVID-19 pandemic during the first wave across NUTS2 regions of the European Union (EU) and the UK. We find that the effort to reduce infection...

This study evaluates the potential for Transit-Oriented Development (TOD) in Khartoum, Sudan, a rapidly urbanizing city facing critical transportation challenges. By integrating Geographic Information Systems (GIS) and Spatial Multi-Criteria Analysis (SMCA), we analyze bus terminals' spatial...

This study examines regional income and inequality in the People's Republic of China from 2001 to 2020 using high-quality nighttime light (NTL) data to help proxy for the gross domestic product (GDP). The NTL-based dataset for 332 Chinese prefectural cities and 2,813 county-level units that...

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...

This report analyses the magnitude and geography of the economic consequences of climate risks across European NUTS3 regions. It introduces a new regional economic growth model that accounts for spatial spillover effects. The study, based on the JRC PESETA V project, focuses on a 2⁰C scenario...

As China advances toward its "Dual Carbon" goals, clarifying the role of the digital economy (DE) in reducing urban carbon emissions is of growing importance. This study uses panel data from 274 Chinese prefecture-level cities (2011-2022) and applies benchmark regression, the Spatial Durbin...

Concerns have been raised regarding the equity and efficiency of Chinese healthcare systems, where improved transportation is expected to be a significant factor. The positive externalities of transport have been confirmed in many domains, but there is a lack of evidence in the field of...

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...