ABSTRACT This research assesses the empirical relevance of geography as a driver of the position of the nodes within a city network. We first propose a measure of the strength of network ties between municipalities based on the observed migratory flows and compute network centrality indexes to characterize the degree of embeddedness of each place. Second, we filter the network ties to account for the

ABSTRACT Spatial and non-spatial data econometric models were used on a panel of 43 countries around the world from 2006 to 2016. The number of tourist arrivals was explained using ‘the political stability and the absence of violence/terrorism’ index and the human development indices, that is, the ‘standard of living index’, ‘life expectancy index’ and ‘education index’. Taking spatial information

ABSTRACT The second home is an important issue for a housing market and has effects on local land use. Conventional approaches do not consider second homes varying across space and time. Hence, spatial models, such as the Besag, York and Mollie (BYM) model and its variants, offer a feasible way to model both covariates and spatial, temporal dependence. This model is applied in our study to analyse

ABSTRACT Lisbon Airport, the most important in Portugal, has reached its capacity due to an enormous boost to the tourism sector. To address this, a new airport in Montijo, which would receive point-to-point flights, has been proposed. This article assesses the optimal time to invest in a new airport using real options analysis and utility theory. It also considers the option to defer and the benefits

ABSTRACT The paper proposes a Bayesian multinomial logit model to analyse spatial patterns of urban expansion. The specification assumes that the log-odds of each class follow a spatial autoregressive process. Using recent advances in Bayesian computing, our model allows for a computationally efficient treatment of the spatial multinomial logit model. This allows us to assess spillovers between regions

ABSTRACT This paper estimates the economic impacts of climate change over the Brazilian regions until the end of the century. We estimate the direct and indirect impact of the projected changes in climate on the yield of the country’s main crops. The results point to a broad spatial heterogeneity of impacts across the country. Using the extreme scenarios created by the Intergovernmental Panel on Climate

ABSTRACT As much as the importance of designing sustainable environmental policies, consideration of their probable effects is also crucial to foresee whether or not they may create desired changes. To this end, following more robust and current methodologies, Lagrange multiplier (LM) and residual augmented least-square LM (RALS-LM) approaches, this study investigates whether policy shocks to ecological

ABSTRACT In this study we investigate the investment behaviour of the First Nation governments (FNGs) ( N=68) in Saskatchewan, Canada. FNGs invest revenues into First Nation-owned businesses or through joint ventures with neighbouring FNGs. We argue that in cases of jointly controlled capital stock through joint ventures between multiple FNGs, it is necessary to account for externalities originating

ABSTRACT This paper sets out a general framework for store sales evaluation and prediction. The sales of a retail chain with multiple stores are first decomposed into five components, and then each component is explained by store, competitor and consumer characteristics using random effects models for components observable at the store level and spatial error random effects models for components observable

ABSTRACT Spatial economic studies traditionally exploit areal data at the regional or sub-regional level. More recently, scholars have started to exploit spatial data of a different nature and, at the same time, extend the fields of application in economics. Specifically, this special issue contributes to the spatial economic literature by providing empirical evidence on a wide range of phenomena (socio-economic

ABSTRACT This virtual special issue marks International Women's Day 2021 by drawing together 15 papers published in Spatial Economic Analysis over the past decade by female authors and co-authors. It highlights the wide range of ground-breaking research by these authors and their collaborators, growth of female-authored publications over time, as well as the geographical and career-stage diversity

ABSTRACT This paper investigates the application of spatial econometrics in estimating the interregional flow matrix in multisector–multiregion input–output tables. With reasonable assumptions, it demonstrates that this application can be formulated as a modified multi-equation spatial Durbin model with missing parameters estimated via maximum likelihood. The statistical performance of the model is

ABSTRACT Climate change has emerged as a growing threat to the European economy, whose economic losses are relevant for global growth. Rising temperatures and worsening extreme events are expected to affect climate-vulnerable sectors. Due to the economic integration within the European Union (EU), these impacts will likely have spillover effects and feedback loops to and from other regions. This study

ABSTRACT This study analyses the impact of female political empowerment on European countries’ welfare policies. Following a spatial econometric approach, the results reveal the presence of a spatial dependence across countries and a consistent gender effect. In particular, the descriptive representation seems to favour a higher distribution of resources to sectors in which women are disproportionately

ABSTRACT This paper proposes a new estimation procedure for the first-order spatial autoregressive (SAR) model, where the disturbance term also follows a first-order autoregression and its innovations may be heteroscedastic. The estimation procedure is based on the principle of indirect inference that matches the ordinary least squares estimator of the two SAR coefficients (one in the outcome equation

ABSTRACT This paper studies the integration of regional goods markets in Russia over the period 2001–19, analysing the law of one price. The analysis involves all pairs of country’s regions, which provides a comprehensive spatial pattern of market integration. The region pairs are classified as belonging to one of four groups: perfectly integrated, conditionally integrated, not integrated but tending

ABSTRACT This paper develops a simple model of spatial sorting where the least productive entrepreneurs are drawn to the large core region. This is an unusual feature. The literature on spatial sorting typically shows how the most productive individuals and firms agglomerate to the core. However, our model is consistent with empirical evidence that reveals that large agglomerations also attract the

ABSTRACT This paper studies productivity spillovers from colleagues and co-authors simultaneously in computer science accounting for both quantity and quality of peers. For the identification of colleague spillovers, we model colleagues’ mobility behaviours and use the estimated staying colleagues to instrument for the actual colleagues. For the identification of co-author spillovers, we exploit the

ABSTRACT The economy can be conceived as a complex system characterized by interconnected multilayer structures with a spatial dimension. At each layer, different types of decisions or interactions take place involving international or interregional trading partners at the macro-level; institutions, markets and industries at the meso-level; and individual firms and households at the micro-level. Within

ABSTRACT We exploit temporal and spatial correlation in a cross-border merger and acquisition (M&A) database with worldwide coverage to show that firms’ M&A choices are significantly influenced by experience effects related to knowledge accumulation. Our empirical strategy rests on the assumption that experience effects are expected to be at play in M&A directed toward culturally contiguous countries

ABSTRACT This paper investigates the extent and determinants of business cycle synchronization among the US states during the period 2002–11. Phase synchronization is not measured based on one national reference series, but rather is assessed using pairwise synchronization indicators computed over the business cycles of all US state pairs. The analysis is based on a natural and intuitive measure of

(2020). RSA Awards Notice. Spatial Economic Analysis: Vol. 15, No. 4, pp. 505-505.

ABSTRACT Recent empirical findings highlight how economic geography is important in understanding various political outcomes. However, these results are typically based on single elections or referendums. This article overcomes the weaknesses of such data by identifying and analysing the long-term structure and evolution of fundamental political ideologies in Switzerland. The results assess the existence

ABSTRACT We analyse business performance by using a unique data set of the universe of Italian local business units. We investigate the pattern of both productivity and profitability by adopting a decomposition technique to document spatial variation across urban and non-urban areas. Aggregate evidence indicates that an urban–non-urban productivity divide exists, but this premium vanishes with respect

ABSTRACT This paper explores the use of simulations in policy decision-making in the Brazilian State of São Paulo in fighting the COVID-19 pandemic. We propose a methodology for assessing the daily economic costs of control strategies for mitigating the effects of coronavirus. The method is based on the partial hypothetical extraction approach to input–output systems. Simulated daily scenarios based

ABSTRACT Using a spatial general equilibrium model, this paper investigates the resilience of European Union regions under three alternative recessionary shocks, each activating different economic adjustments and mechanisms. We measure the vulnerability, resistance and recoverability of regions and identify key regional features affecting the ability of regions to withstand and recover from unexpected

ABSTRACT The study explores the geographical pattern of the accommodation industry in the Italian insular region of Sicily, focusing on the determinants of the risk of market exit. We adopt a standard framework of business survival analysis where agglomeration economies play an important role. We then extend the analysis by considering the role of geography to explore whether the risk of market exit

ABSTRACT We present an extension of the generalized RAS (GRAS) technique to a multi-regional (MR) or multi-national setting. The framework is applicable to updating/regionalizing/balancing any partitioned matrix that needs to conform to new row sums, column sums and additional non-overlapping aggregation constraints. The technique, which we refer to as MR-GRAS, also handles non-exhaustive constraints

ABSTRACT In an election, the vote shares by party for a given subdivision of a territory form a compositional vector (positive components adding up to 1). Conventional multiple linear regression models are not adapted to explain this composition due to the constraint on the sum of the components and the potential spatial autocorrelation across territorial units. We develop a simultaneous spatial autoregressive

ABSTRACT To understand the links between Big Data and economic development is to focus on the knowledge that may be created from Big Data and the knowledge workers who can produce and use this knowledge to maximum economic impact. Using location quotients, this paper finds that the current geographical concentration of employees with skills to generate value from Big Data means that economic opportunities

ABSTRACT The neighborhood inequality (NI) index measures aspects of spatial inequality in the distribution of incomes within a city. It is a population average of the normalized income gap between each individual’s income (observed at a given location in the city) and the incomes of the neighbours located within a certain distance range. The approach overcomes the modifiable areal units problem affecting