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Usually, knowledge spillovers (KS) are related to geographic proximity. In the present study, we measure KS on the basis of different proximity matrices, focusing on the relational, social, cognitive and technological preconditions for knowledge diffusion. In the light of previous studies on KS, we examine: (i) which types of proximity enhance or hamper knowledge flows, and (ii) whether local absorptive capacity favour such flows. Our results indicate that KS across European NUTS2 regions measured through geographic, relational, social, cognitive and technological proximity channels increase with local absorptive capacity. This finding points towards the emergence of large clusters of regions (absorptive capacity clubs) where relational, cognitive, social and technological proximity lock-in maximizes the returns to local investment in R&D.

Modelling spatial heterogeneity (SH) is a controversial subject in real estate economics. Single-family-home prices in Austria are explored to investigate the capability of global and locally weighted hedonic models. Even if regional indicators are not fully capable to model SH and technical amendments are required to account for unmodelled SH, the results emphasise their importance to achieve a well-specified model. Due to SH beyond the level of regional indicators, locally weighted regressions are proposed. Mixed geographically weighted regression (MGWR) prevents the limitations of fixed effects by exploring spatially stationary and non-stationary price effects. Besides reducing prediction errors, it is concluded that global model misspecifications arise from improper selected fixed effects. Reported findings provide evidence that the SH of implicit prices is more complex than can be modelled by regional indicators or purely local models. The existence of both stationary and non-stationary effects implies that the Austrian housing market is economically connected.

Recent years have shown a rising popularity of the concept of resilience—both theoretically and empirically—in complex systems analysis. There is also a rising literature on resilience in the transport and spatial-economic field. The pluriform interpretation of resilience (e.g., engineering vs. ecological resilience) is related to methodological differences (e.g., stability in dynamics vs. evolutionary adaptivity). But in all cases the fundamental question is whether a complex system that is subjected to an external shock is able to recover, and if so, to which extent. The present paper [Based on presentation from cluster 6 (Accessibility) of the Nectar 2015 conference in Ann Arbour, USA.] aims to add a new dimension to resilience analysis in spatial systems, by addressing in particular the relationship between spatial accessibility at a municipality level and the resilience outcomes of the spatial system concerned. It does so by investigating to which extent accessibility of Swedish and Dutch municipalities has mitigated the local shock absorption from the recent economic recession. In our study the shock absorption capacity of municipal accessibility is estimated by analysing the relevant resilience indicators for the period concerned. In this context, conventional resilience indicators based on either multivariate complex data (in particular, the Foster Resilience Capacity Index) or employment data (in particular, the Martin Resilience-Employment Index) are confronted with spatial connectivity data based on local accessibility measures, so that geographical mobility may be regarded as one of the shock-mitigating factors. The empirical analysis is carried out for two countries which have both proven to be rather shock-resistant during the recent economic crisis, viz. Sweden and The Netherlands. Clearly, the geographical structure of these countries forms a sharp mutual contrast, viz. a spatially dispersed economy with a few distinct urban concentrations versus a spatially dense economy with one major metropolitan centre (the Randstad), respectively. Our experiments are carried out for the 290 municipalities in Sweden and 40 COROPs in The Netherlands. Our research findings show relevant and new insights into differences in the local recovery potential in Sweden and The Netherlands.

Infrastructural and economic reconstruction of a country following a geopolitical conflict requires a balanced policy strategy. This will be illustrated here for the case of Iraq. The long-range post-conflict recovery of this country needs a strategic, evidence-based approach to optimize regional resource allocation and to speed up regional regeneration. This study employs a qualitative type of Input-Output Analysis and a Multicriteria Decision Analysis (MCDA) to assess disparities in infrastructure, governance, and economic resilience among regions, providing an analytical and data-driven framework for prioritizing regional investment strategies. By ranking regions based on their recovery capacity, the study aims to provide a targeted strategy for stabilizing Iraq’s space economy and strengthening its governanceinstitutions. Our empirical findings stress the critical need for long-term investments, balancing immediate stabilization with long-term economic transformation. However, governance fragmentation, corruption, and weak institutional frameworks remain significant barriers to resilience, limiting the effectiveness of investments and hindering sustainable economic recovery. Addressing these structural issues – through governance reforms, institutional capacity building, and transparentresource allocation – is essential for the long-term economic resilience of regions in Iraq. If implemented effectively, this strategy can advance Iraq’s space economy from post-war uncertainty to sustained stability and growth. Infrastrukturna i ekonomska obnova zemlje nakon geopolitičkog sukoba zahtijeva uravnoteženu političku strategiju, ovdje ilustrirano na slučaju Iraka. Dugoročni oporavak ove zemlje nakon sukoba zahtijeva strateški pristup utemeljen na dokazima kako bi se optimizirala raspodjela regionalnih resursa i ubrzala regionalna regeneracija. U ovoj studiji primjenjuje se kvalitativna input-output analiza i multikriterijska analiza odlučivanja (MCDA) za procjenu razlika u infrastrukturi, upravljanju i ekonomskoj otpornosti među regijama, pružajući analitički i podatkovno utemeljen okvir za određivanje prioriteta regionalnih investicijskih strategija. Rangiranjem regija na temelju njihovog kapaciteta oporavka, studija istražuje kako omogućiti strategiju usmjerenu na stabilizaciju iračkog gospodarskog prostora i jačanje njegovih institucija upravljanja. Rezultati našeg empirijskog istraživanja ukazuju na kritičnu potrebu za dugoročnim ulaganjima kako bi uravnotežila trenutnu stabilizaciju s dugoročnom ekonomskom transformacijom. Međutim, fragmentacija upravljanja, korupcija i slabi institucionalni okviri ostaju značajne prepreke otpornosti, ograničavajući učinkovitost ulaganja i ometajući održivi gospodarski oporavak. Rješavanje ovih strukturnih problema – kroz reforme upravljanja, izgradnju institucionalnih kapaciteta i transparentnu raspodjelu resursa - ključno je za dugoročnu ekonomsku otpornost regija u Iraku. Ako se učinkovito provede, ova strategija može unaprijediti iračko svemirsko gospodarstvo od poslijeratne neizvjesnosti do održive stabilnosti i rasta.

International migration has become one of the most debated topics in many developed and developing countries. Host countries are concerned about the socioeconomic consequences of international migration, while sending countries-from a developing country's perspective-are concerned about the brain drain and loss of their younger population. This paper presents a concise literature review on existing theories of international migration, and long-run effects of international migration on Foreign Direct Investment (FDI). The empirical studies reviewed in this paper indicate a positive and statistically significant relationship between international migration and FDI.

Settlement centers of various types, including cities, produce basins of attraction whose shape can be regular or complexly irregular (from the point of view of geometry). This complexity depends in part on properties of the space surrounding a settlement. This paper demonstrates that by introducing a dynamic approach to space and by including an equation of motion and space resistance, a dramatic change in the stylized static CPT (Central Place Theory) image occurs. As a result of the interplay of gravitational forces, basins of attraction arise around cities, whose boundaries appear to be fractals. This study provides a wealth of spatial fractal complex images which may change the traditional understanding of CPT.

This study offers a literature review and bibliometric analysis aiming to enhance our understanding of the actual contribution of resilience approaches to spatial and territorial development and planning studies. Using citation link-based clustering and statistical text-mining techniques (in terms of prevalence of topics, over time, extraction of relevant terms, keywords frequencies), our study maps scientific domains that include the spatial dimension of resilience thinking. It offers a systematic assessment of modern approaches by connecting profoundly theoretical views to more instrumental and policy-oriented approaches. Firstly, the theoretical background of spatial resilience used in numerous studies in various fields is analysed from the viewpoint of the type of embedded resilience (engineering, ecological, social-ecological, economic, social etc.). Secondly, we review and discuss the significance of three main and consistent research directions in terms of different scales and political/institutional contexts that matter from the viewpoint of spatial and territorial planning. Our findings show that spatial resilience debates are far from being settled, as according to many scientists, resilience measurements are often based on technical-reductionist frameworks that cannot comprehensively reflect the complex systems and issues they address. Our conclusions highlight the necessity of a harmonized framework and integrated perspective on resilience in sustainable territorial planning and development, in both theoretical and empirical contexts.

This paper assesses the National Recovery and Resilience Plans (NRRPs) of EU member states and regions to uncover commonalities and differences between green and digital transitions, focusing on the role of institutions, among additional socio‐economic drivers, in modeling them. To that end, relevant indicators have been assembled, and several econometric models have been developed and tested to evaluate institutional performance in relation to green and digital transformations. The study reveals discrepancies in the two explored transition fields and highlights the power of institutional factors in boosting them. Specifically, the findings demonstrate that the green transition in EU regions is positively associated with variables such as life expectancy, institutional quality, tertiary education attainment, and small and medium enterprises (SMEs) with innovative activities, while the fruits of digitalization are mainly allied to population with higher studies, core creative class employment, accountability of institutions, and innovative SMEs. These insights offer valuable guidance for decision‐makers to draw lessons from high‐performing or successful regions and strategically assign resources. This includes paying attention to regional financial allocations and their alignment with territorial planning and long‐term policies. The study uncovers commonalities and differences between the “twin transitions” at national and regional levels in the EU, focusing on the role of institutions, among other socio‐economic drivers, in shaping them. It concludes that green and digital transitions are robustly influenced by human capital, innovative activities, and institutional accountability.

The evaluation of real estate assets is currently one of the main focal points addressed by territorial marketing strategies, with the view of developing high-performing or competitive cities. Given the complexity of the driving forces that determine the behavior of actors in a real estate market, it is necessary to identify a priori the factors that determine the competitive capacity of a city, to attract investments. The decision support system allows taking into account the key factors that determine the “attractiveness” of real estate investments in competitive urban contexts. This study proposes an integrated complex evaluation model that is able to map out and encapsulate the multidimensional spectrum of factors that shape the attractiveness of alternative real estate options. The conceptual–methodological approach is illustrated by an application of the model to a real-world case study of investment choice in the residential sector of Naples.

The use of wireless location technology and mobile phone data appears to offer a broad range of new opportunities for sophisticated applications in traffic management and monitoring, particularly in the field of incident management. Indeed, due to the high market penetration of mobile phones, it allows the use of very detailed spatial data at lower costs than traditional data collection techniques. Albeit recent, the literature in the field is wide-ranging, although not adequately structured. The aim of this paper is to provide a systematic overview of the main studies and projects addressing the use of data derived from mobile phone networks to obtain location and traffic estimations of individuals, as a starting point for further research on incident and traffic management. The advantages and limitations of the process of retrieving location information and transportation parameters from cellular phones are also highlighted. The issues are presented by providing a description of the current background and data types retrievable from the GSM network. In addition to a literature review, the main findings on the so-called Current City project are presented. This is a test system in Amsterdam (The Netherlands) for the extraction of mobile phone data and for the analysis of the spatial network activity patterns. The main purpose of this project is to provide a full picture of the mobility and area consequences of an incident in near real time to create situation awareness. The first results from this project on how telecom data can be utilized for understanding individual presence and mobility in regular situations and during nonrecurrent events where regular flows of people are disrupted by an incident are presented. Furthermore, various interesting studies and projects carried out so far in the field are analyzed, leading to the identification of important research issues related to the use of mobile phone data in transportation applications. Relevant issues concern, on the one hand, factors that influence accuracy, reliability, data quality and techniques used for validation, and on the other hand, the specific role of private mobile companies and transportation agencies.