Online First

This study proposes the application of the methodological framework for functional analysis of technological innovation systems in the context of the implementation of a regional smart specialization strategy. The case focuses on the solar energy industry in the Arequipa region – Peru. For this purpose, interviews, surveys and workshops were conducted with more than 70 stakeholders. The results allowed for the formulation of specific initiatives based on the identification of certain blocking mechanisms. The proposed approach can contribute to the development of innovation policies with regional scope, especially in territories with low scientific-technological infrastructure.

This article presents a special issue of research papers devoted to the study of well-being and quality of life, considering both progress and challenges, in Latin American and Caribbean cities.

The objective of this paper is to examine the convergence of economic activity between the various NUTS 3 regions of the Iberian Peninsula over the period 2000-2019. An analysis of the GDP (PPS) per capita of Spanish and Portuguese provinces was conducted with the help of different usual statistical and econometric methods of σ, β and γ. This was done to confirm the existence or non-existence of economic convergence in the period under analysis. The results revealed the existence of economic convergence between the Portuguese and Spanish provinces. In addition, they showed that more than half of the territory analysed was characterised by a scenario of poverty.

The article represents the first contribution in which the economic impact of a group of nine Latin American universities is estimated, following a demand-based approach and a homogeneous methodology. The analyzed universities have different profiles depending on their ownership, size, age, or geographic location. Using the input-output methodology, the impacts derived from the expenditures and investments made by both the universities and their related agents are estimated. The results show significant impacts (up to 4% of the regional GDP, depending on the case), which extend across the entire national territory and all economic sectors. The study demonstrates that the economic and social impact is highly relevant, providing a substantial return, overall in universities with a high level of R+D+I activities.

Cloud computing is widely recognised as a key technology that enables digitalisation, fuelling the digital economy growth. Using World Bank Governance Indicators, in this paper we examine how country’s quality of governance (or good governance) impacts the use of cloud computing in the enterprises in the EU, hence affects digitalisation of the EU. In an empirical examination of 27 EU countries over a period from 2014 to 2021, it was found that good governance positively affects cloud computing adoption in the EU enterprises. In support of the institutional theory, we show that improving country’s governance quality is an important step in accelerating cloud computing adoption by the EU enterprises, the finding providing an important input to the EU government in their execution of the Industrial Strategy 2030, in which digitalisation and cloud computing adoption play an important role. Businesses operating in the EU countries with higher quality of governance are more likely to implement cloud computing in their operations, a cost and performance benefiting technology, a valuable insight to the EU enterprises, which gain direct benefits from increased cloud computing adoption in their businesses.

Since the normalization of tourism in Colombia resulting from improved security and the pacification of various regions of the country, increased attention has been paid to the key role of tourism in regional economic development. The objective of this paper is to analyze the relationship between the tourism sector and economic development in Colombia. To examine the dynamic relationship existing between international tourism and economic development, the 33 departments of Colombia are analyzed between 2012 and 2021. The empirical analysis is conducted using non-parametric tools, derived from symbolic time series analysis, based on the notion of economic regime and clustering techniques. This offers a contribution in two aspects: on the one hand, a novel methodology is applied, and, on the other hand, regional-level analysis is performed. A limited mobility of the departments between the different regimes has been observed during this period, indicating the stability of the variables analyzed. The results of the study suggest that the relationship between tourism and economic development differs in the different groups of departments identified, offering evidence of differences within the country. It should be noted that the group of departments with the highest level of tourism displays a high level of economic development and growth.

The study presents an approach to assess the vulnerability of nature-based tourism in Risaralda, Colombia, to climate change. An environmental reference model is adapted to the tourism sector. The results reveal high vulnerability at the municipal level, conservation areas, ecosystems and tourism supply, especially in high mountain ecosystems. This underlines the importance of adaptive tourism management and measures to reduce vulnerability, such as avoiding concentration of tourism supply, since some of the most vulnerable tourism destinations are paradoxically the most competitive in terms of sustainability. This approach is applicable to other tourism destinations.

The provision of care services can reduce gender labor gaps. As care-related economic activities are highly feminized, strengthening care services can increase women’s share of total employment. Care services can also reduce the unpaid care burden and promote women’s employment in other sectors, which could change sectoral gender segregation. We explore these relationships for Colombia through a regional urban analysis. We classify cities into three regions using their level of competitiveness as a broad measure of labor market dynamics. Using a fixed effects model, our results show that an increase in the importance of the care sector boosts women’s labor force participation and sectoral segregation; however, we emphasize the importance of urban and regional contexts in determining the role of care provision on gender equality.

This study investigates the spatial patterns of crime in Ecuador and their driving factors, paying special attention to the judicial system’s impact. Drawing on data from 218 cantons between 2015 and 2021, we applied exploratory spatial data analysis and spatial econometric models for cross section data and panel data. Our analysis revealed discernible clusters of both high and low crime rates, as well as isolated areas of crime (islands of crime) and safety (islands of non-crime). The findings offer a detailed overview of the crime situation in Ecuador and emphasize the significance of geographic elements in formulating effective crime prevention measures. The analysis also identifies the shift in crime dynamics over time, indicating that cantons typically experiencing low crime rates can evolve into higher crime areas, hinting at a contagion effect within spatial clusters. The study further underscores the critical influence of the judicial system on crime prevalence, where systemic inefficiencies such as case backlogs and a high proportion of unsentenced inmates are associated with rising crime. For policymakers, these insights underscore the necessity of tailoring interventions to the specific contexts and dynamics of each region, considering both the local conditions and the broader surrounding crime environment.

This research explores the impact of armed violence and corruption on the economic growth of Colombia’s departments from 1991 to 2017. Using models of spatial panels, statics and dynamics, we detect positive space-time indirect effects on departmental growth, including evidence of beta-convergence. Specifically, fiscal corruption exhibited a significant negative impact on short-term economic growth. Moreover, corruption primarily affected growth at the local level, with limited spillover effects observed from neighboring regions. Interestingly, our analysis did not yield statistically significant evidence regarding the impact of armed violence on economic growth.

This paper aims to provide a comprehensive description of the evolution of public investment by the Autonomous Communities in Spain from 1984 to 2021, to identify patterns in investment policies and explain their underlying causes. Additionally, the paper evaluates the impact of savings, transfers, and deficits on public investment. The findings reveal distinct patterns in the level and dynamics of these variables across regions. Priority was given to essential welfare expenditures during the Great Recession, while the post-recession recovery displayed varied regional behaviors. The positive impact of European and national funds, such as the Interterritorial Compensation Fund, effectively revitalized investment and savings, which emerged as a key differentiating factor in chartered communities.

Spatial trend concept was proved to be useful to depict the systematic variations of the phenomenon concerned over a region based on geographical locations. We use three different geographical datasets to check if there exist potential leading deterministic spatial components and whether we can econometrically model spatial economic relations that might contain unobserved spatial structure of unknown form. Hypothesis testing is conducted with a symbolic-entropy based non-parametric statistical procedure, proposed in Garcia-Cordoba et al. (2019), which does not rely on prior weight matrices assumptions. Geographically restricted semiparametric spatial models are taken to perform a modeling strategy for cross-sectional data sets. The main question to be responded is whether the models that merely incorporate space coordinates might be sufficient to capture space dependence when applied to different types of data. Moreover, it is important to study what intrinsic characteristics of the economic problem or the dependent variable itself make feasible (and optimal) to use the specific methodological approach.

This paper uses un-truncated city population data from three countries—the United States, Spain and Italy—to empirically test Proposition 1 put forth by Eeckhout (2004 American Economic Review, 94: 1429–1451). Eeckhout’s hypothesis was that the estimate of the Pareto exponent in a standard Zipf regression decreases with sample size, if the underlying city size distribution is lognormal. Using rolling sample regressions, we find that this proposition is only valid once we enter the lognormal body of the distribution; for the Pareto-distributed upper-tail, the estimated exponent does not vary with sample size.

This paper investigates the relationship between informality and job quality in Ecuador, emphasizing the role of education as a mediating factor. Utilizing data from the National Survey of Employment, Unemployment, and Underemployment from 2014 to 2019, the study employs an Employment Quality Index to assess job quality. Through a detailed empirical strategy incorporating pooled ordinary least squares regressions, panel data analyses, and spatial models, the research unveils a negative impact of informality in employment quality. However, the findings indicate that education does not significantly influence this relationship at the regional level. These results highlight the necessity for targeted policy interventions that address the structural issues in the labor market.

The ability of local territories to create and attract human capital is key in generating progress at the local level. However, skilled workers not only tend to stem from certain regions, but to be attracted to them. This study analyzes interregional migratory movements in Chile, identifying differentials in local economic development as a factor that promotes selective migration of workers. The results indicate that regions with high levels of relative development attract more qualified migrants and expel the less qualified, thus reinforcing the initial concentration of human capital.

The Pacific is the region of Colombia with the greatest economic lag and the lowest living standards of its population. The objective of this study is to investigate poverty in the Colombian Pacific, taking as a reference the multidimensional approach, applying different identification methodologies and aggregation indicators. The main result is that despite the reduction in poverty between 2010 and 2018, it has not been systematic and has presented much more moderate levels than the situation in the rest of the country; in particular, the region has great deficiencies in education levels and access to health.

Cross-section and longitudinal spatial statistics and econometric models rely on spatially and temporally referenced data. Administrative units like cities, counties, and provinces provide stable data sources, enabling models to combine statistics collected at different times. In Spain, census sections serve as the smallest territorial units in which official statistics are delivered. These areas offer valuable statistics, such as population and housing censuses. Providing these statistics at the postcode level is also pertinent for conducting local analyses and surveys. The issue is that boundaries of census sections undergo regular updates, sometimes involving significant reorganization. The R-package sc2sc automates the transfer of variables between different census sections and postal codes. This paper introduces the package and outlines its methodology, which employs areal weighting to transfer counts and rates.

Urban growth has led to the unforeseen development of peripheral urbanization. The case of the city of Tijuana represents, in a peculiar way, the concern about the acquisition and investment in housing. The rugged topography has caused excessive costs of urbanization and the introduction of services that have limited urban development. The objective of this research is to describe the urban environment based on its resources and housing location, as well as to demonstrate its implications on urban spatial inequality. Through a hedonic price model with data from the Sistema Nacional de Información e Indicadores de Vivienda (SNIIV) from 2015 to 2021. Among the main findings is that the price per square meter of new homes purchased by national residents rises as one moves to the outskirts of the city. In addition, the highest and lowest income deciles are living in peripheral areas.

Slums are a global concern due to their impact on urban health and urban planning. Although Latin America and the Caribbean is one of the most urbanized developing regions, slums are still a significant concern. However, most studies have concentrated on a single city, using a sample of Latin American and Caribbean (LAC) countries or treating the region as one unit to analyze income inequality and urban primacy. Here, we present an analysis of the relationship between slums and urban primacy for LAC countries for the 1990–2020 period, controlling for GDP per capita and public spending on housing. In addition, we model the relationship between slums and demographic variables such as the fertility rate, migration rate, and urbanization. The analysis is based on panel data from the World Bank and The Economic Commission for Latin America and the Caribbean (ECLAC). During the period of study, a clear positive relationship is evident between urban primacy in the largest city and the slum rate in each LAC country. However, a high level of heterogeneity is observed in this relationship and our model explains the variation in the slum rate within countries better than the variation between countries.

While migrants pursue better incomes, they might be driven by differences in amenities between the place of origin and destination. This study aims to determine the effect of differences in health, educational amenities, and the operational capacity between the place of origin and destination on the life satisfaction of internal migrants. To do so, a generalized ordered logit model is estimated using data from the Survey of Employment, Unemployment and Underemployment of Ecuador for the editions from 2015 to 2017. Our results show that income and amenities are not competing reasons for life satisfaction, they go hand in hand. Differences in health and educational amenities, as well as variations in the operational capacity of local governments between the places of origin and destination, have an influence on the life satisfaction of internal migrants. These effects vary depending on the age of the migrant, the size of the city of origin and destination, the reason for migration, and the duration of residence.

This paper analyzes the evolution of the aggregate production in the Spanish regional economic system between 2000Q1 and 2023Q4 proposing a spatiotemporal growth model for the Autonomous Communities in Spain that simultaneously accounts for the presence of time-series dynamics, cross-sectional spatial dependence, common factors, and regional heterogeneity. The econometric specification used in the empirical application includes time-lagged variables, spatial and spatiotemporal lagged variables, a dynamic common factor (the national growth), and some parameters varying regionally, so we consider all the key stylized facts that complex regional economic growth processes exhibit over time.

The objective of this study is to estimate the impact of Covid-19 on business behavior and its spatial effect among companies. Four specifications have been developed to analyze the pandemic’s influence on key variables determining business behavior: liquidity, indebtedness, profitability, and efficiency. This study has focused on the province of Barcelona, Spain, from which a database of failed and non-failed companies has been compiled, both before and after the pandemic. The models have been estimated using the spatial Seemingly Unrelated Regressions (SUR) methodology, and each equation was estimated following a spatial Differences-in-Differences model. The results confirm that the emergence of Covid-19 has had a significant impact on companies’ financial ratios, worsening their positions in terms of liquidity, indebtedness, and efficiency, with the existence of a spatial contagion pattern.

In this study we aim at estimating the economic return to education with a territorial perspective. Furthermore, we aim at identifying the effect of the family’s social capital, proxied by language of parents, on the economic returns to education. Results show that education provides different returns to individuals that differ by their family backgrounds, with a significant disadvantage on children whose parents speak an indigenous language. We observe that the territory can contribute to these disparities by up to 7%.

This study assesses the effect of internal migration on regional growth in Italy at the NUTS-3 level over the period 2002-2019. The composition of the internal migration flows of the working-age population in Italy during the sample period appears substantially heterogeneous in nationality and labor skills. The analysis considers this heterogeneity, estimating various specifications of the dynamic spatial model and controlling for the endogeneity of migration variables through a control function approach. The evidence suggests that the internal migration of Italian citizens has a positive direct and spillover impact on regional growth, slowing down the convergence process. On the contrary, there is no evidence of a significant effect of internal migration of foreign citizens. Taking the skill composition of internal movements of Italian citizens into account, the adverse impact on convergence is magnified, thus corroborating the skill-selective hypothesis. Finally, the diverging impact of internal migration increases with the distance of migration flows.

Migration brings significant challenges to health and quality of life when acculturation exceeds migrants’ personal resources, causing acculturative stress. Despite its high prevalence, there are few instruments to assess it in Latin America. The aim of this study was to develop an instrument to measure acculturative stress based on a sample of 283 migrants in Chile. Twenty-five items were developed and grouped into three factors. Findings show excellent psychometric properties of reliability, validity, and cultural relevance. The instrument is appropriate for intraregional migrant populations in Latin America.

Latin American cities show accelerated processes of expanding growth with direct consequences on the quality of life of their inhabitants. In this context, the article analyzes the uses of public green spaces and the preferences of the population in an intermediate Argentine city and its periurban area, based on data from a survey conducted among visitors of these spaces. The results indicate that the evaluated aspects are associated with the natural and sociocultural attributes of these spaces and the characteristics of the respondents, highlighting the interaction and differences between objective and subjective variables of quality of life, especially in the urban-rural gradient.