This paper uses survey-based data of the Argentinian province of Córdoba to conduct an empirical test of the performance of the Flegg's location quotient (FLQ) and augmented FLQ (AFLQ) formulae for estimating regional input coefficients. A comparison is made with conventional methods based on location quotients. The possibility of using prior information about the extent of self-sufficiency of particular sectors is explored. The empirical work employs a range of statistical criteria with contrasting properties, and examines performance in terms of each method's ability to estimate regional input coefficients, output multipliers and imports. Particular attention is paid to the problem of choosing a value for the unknown parameter δ in the FLQ and AFLQ formulae. These formulae are found to give the best overall results of the non-survey methods considered in the paper. However, the AFLQ typically produces slightly more accurate results than the FLQ, in line with the findings of previous studies.
Tesis de Maestría en Economía de
Federico Haslop"El impacto regional del turismo cuando los datos son escasos. Una aplicación a la Provincia de Salta"
ResumenEncontrar estadísticas oficiales detalladas a nivel subnacional no siempre es una tarea sencilla. La ausencia de este tipo de datos puede resultar desalentadora para gobiernos interesados en entender como sus políticas impactan la economía, vida y ecología de áreas
Este estudio tiene como objetivo estimar las inversiones que necesitaría realizar América Latina y el Caribe hasta el año 2030 para avanzar en el cumplimiento de los ODS. Los ODS no son compromisos vinculantes para los países, pero sí son una referencia internacionalmente reconocida sobre las metas que se espera que estos alcancen en los próximos años.
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.
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