The articles listed below have been accepted for publication after successfully passing the review process. They will be included in future issues of the journal.
Leonardo J. Mastronardi, Carlos A. Romero, Sebastián N. González
This paper presents a regional case study using a Bi-Regional Input-Output (BRIO) matrix of Buenos Aires City (BAC) and the Rest of Argentina (ROA), constructed from the Argentinian Input-Output matrix. A hybrid approach was applied to obtain the BRIO matrix, which combines pure non-survey methods with matrix-balancing methods like RAS or Cross-Entropy. Once the BRIO matrix was obtained, our study has focused on analyzing the BAC regional structure and the interconnections between regions. We have also estimated the regional and national carbon footprint for the BAC and Argentina, respectively. Results show that service and industry sectors play an important role in the economy of BAC and some of them have strong interregional spillover effects over the rest of the country. In addition, the results also show that sectors on BAC with the highest regional multipliers are also the ones with highest emissions.
Keywords: Interregional input-output model; carbon footprint; bi-regional input-output tables; location quotients; cross entropy
Felipe Torres Torres, Agustín Rojas Martínez
The purpose of this paper is to analyze the regional dimensions of food security, seen as a structural problem of development in Mexico during the period 2000-2020. The hypothesis is that the commercial opening implemented in the country under a framework of asymmetric economic development, widened its socio-territorial inequalities and with it the food insecurity gap. To investigate this phenomenon, we applied the Principal Component Analysis (PCA) and Dalenius-Hodges stratification methods, with which we built a measurement index at municipal and regional scales. The results obtained indicate that, seen both by number of regions and population proportion, more than half of Mexicans face some degree of food insecurity. Reversing this situation implies deploying a food policy aimed at recovering self-sufficiency in the production of basic grains and guaranteeing access to food, mainly by improving income among the population located in the ranges of poverty and extreme poverty.
Keywords: Food security; regional inequalities; agricultural policy; municipal and regional food security index; principal component analysis method
Economic growth might both increase and decrease income inequality, also at the city level. This paper examines the income-inequality relationship within US metropolitan areas and finds that it changes over time. A higher average income per capita level was associated with a lower inequality level in earlier years, but this association vanished later. For the 1980-2000 panel, increases in the average income per capita are associated with decreases in inequality. In contrast, increases in the average income per capita are asso-ciated with increases in inequality in the 2006-2016 panel. The obtained results hint at polarization re-sulting from technological change substituting middle-skill routine tasks.
Keywords: Inequality; income; metropolitan areas; United States
María Soledad Campos Lucena, África Ruiz-Gándara, María de Magdala Pérez Nimo, Francisco Javier Ortega Irizo, Francisco Velasco Morente
Objectives: This paper seeks to detect, in the Spanish health system, which health services are efficient, and which are not, as well as propose corrective measures that allow inefficient health services to achieve efficiency. Methods: This paper applies the Data Envelopment Analysis (DEA) methodology, which allows obtaining natural and managerial efficiencies, as well as deviations from inefficient units in relation to efficient ones and proposing corrective measures that imply only budgetary (natural) modifications or changes in the policies of resource management (management).
Results: Through the efficiencies, or the lack of them, the health services of the 17 Spanish autonomous communities are classified into four groups: With high, medium-high, medium-low or low natural or managerial efficiency.
Conclusions: The lack of natural efficiency can be corrected with a greater budgetary endowment and the lack of managerial efficiency with a budget cut and changes in resource management policies. This tendency contrary to the adjustments is precisely what gives this work of interest and novelty with respect to others that apply the DEA in different sectors such as those that study the impact on the environment of resource consumption. Another important aspect of this study is the possibility of applying it to other countries with similar political structures.
Keywords: Data envelopment analysis; natural efficiency; managerial efficiency; cluster analysis; Spanish Health System