http://region.wu.ac.at/ojs/index.php/region/issue/feed 2025-01-27T16:58:14+00:00 Francisco Rowe F.Rowe-Gonzalez@liverpool.ac.uk Open Journal Systems <p>REGION - the journal of ERSA, powered by WU, is a peer reviewed scientific journal for the global exchange of knowledge in Regional Science, Regional Economics, Economic Geography and related areas.</p> http://region.wu.ac.at/ojs/index.php/region/article/view/521 2024-12-12T14:42:44+00:00 Roberto Zurita rzurita@estud.usfq.edu.ec Víctor Morales-Oñate victor.morales@uv.cl

<p>This research examines the spatial spillovers of public capital on gross value added across 216 cantons in continental Ecuador. The investigation is conducted within the framework of Spatial Econometrics, utilizing various model specifications and spatial weight matrices, complemented by a Cobb Douglas-type model that incorporates spatial dependence. The findings highlight a positive spatial impact of the public capital stock, with approximately 30% of the overall effect attributed to the indirect component. This underscores the importance of considering spatial structure when assessing the effects of capital on gross value added. Consequently, the study extends its exploration to derive column and row effects, aimed at identifying the most influential cantons within the neighborhoods established by the spatial structure.</p>

2025-01-27T00:00:00+00:00 Copyright (c) 2025 Roberto Zurita, Víctor Morales-Oñate http://region.wu.ac.at/ojs/index.php/region/article/view/563 2024-09-25T05:24:19+00:00 Sergio Rey srey@sdsu.edu

<p>This paper explores the concepts and computational methods used to<br />measure spatial inequality, emphasizing a reproducible approach that<br />social scientists can apply to their research. The analysis focuses on<br />geographic income disparities at the sub-national level, using Mexico as<br />a case study. By examining various a-spatial and spatially explicit<br />approaches, the paper highlights the complexities of measuring<br />inequality across places and over time. The discussion includes a review<br />of traditional inequality measures and introduces spatial decomposition<br />methods that account for the geographical distribution of income. The<br />findings underscore the importance of integrating spatial considerations<br />into inequality analysis to better understand the patterns and drivers<br />of regional disparities, thereby informing more effective and equitable<br />policy interventions.</p>

2025-03-02T00:00:00+00:00 Copyright (c) 2025 Sergio Rey