Persona: Palencia González, Francisco Javier
Cargando...
Dirección de correo electrónico
ORCID
0000-0003-2960-8565
Fecha de nacimiento
Proyectos de investigación
Unidades organizativas
Puesto de trabajo
Apellidos
Palencia González
Nombre de pila
Francisco Javier
Nombre
5 resultados
Resultados de la búsqueda
Mostrando 1 - 5 de 5
Publicación Una herramienta para la estimación y predicción de precios de combustibles en base a costes(2016) Palencia González, Francisco JavierEn la composición del precio de los combustibles se distinguen tres componentes: costes de materia prima, costes de distribución e impuestos, y la variación de cualquiera de ellos tienen una incidencia significativa en los precios. En este trabajo se presenta una herramienta que permite predecir los precios finales de venta al público de los combustibles en el mercado minorista. La estimación se realiza a partir de los precios del crudo, costes de materia prima, teniendo en cuenta los datos históricos de precios antes de impuestos, que incluyen los costes de distribución y márgenes comerciales, y distinguiendo por la entidad geográfica, comunidad autónoma, provincia o municipio, sobre la que se quiere realizar la predicción. Esto permite que entre en juego el tercer componente de la estructura de precios, los impuestos, tanto especiales como al consumoPublicación Carbon Leakage from Fuel Taxes: Evidence from a Natural Experiment(Springer, 2024) Jordi J. Teixidó; Palencia González, Francisco Javier; Labeaga Azcona, José María; Labandeira, Xavier; https://orcid.org/0000-0002-2530-388X; https://orcid.org/0000-0003-2960-8565; https://orcid.org/0000-0003-2952-058XWe exploit a fuel tax increase in Portugal to identify its effect on cross-border fuel sales and associated carbon leakage in the Spanish border regions. Using a difference-in-difference strategy, we find that while gasoline sales remained unaffected, diesel sales in Spanish border regions increased by 6–9%. Synthetic control methods confirm these estimates and attribute this differential effect by fuel type to routes frequented by heavy-duty vehicles, with large diesel tanks. We estimate a carbon leakage equivalent to 14–20% of Portugal’s annual mitigation commitment for road transport emissions. Our findings imply that heavy goods vehicles’ strategic behavior undermines the potential mitigation effects and revenue gains of transport climate policy, underscoring the need for coordinated policies in similar federal or quasi-federal contexts.Publicación Human resource management as key pillar of company strategy: Analysis of the line managers’ perception(Cambridge University Press, 2019-04-26) Navío Marco, Julio; Solórzano García, Marta; Palencia González, Francisco JavierThere is a growing literature devoted to analyzing the strategic aspects of HR functions in organizations and also the mechanisms and effectiveness of implementing HR practices. The increasingly frequent involvement of the companies´ line managers in HR activities leads us to investigate about the strategic value that these managers grant HR. Our research focuses on the line managers' perception of the strategic importance of HR (versus the perception of HR managers themselves) as a relevant factor in the proper line managers´ involvement in the execution of HR-related tasks. If the line managers do not perceive the relevance and strategic importance HR and its key role in company strategy and performance, it is difficult to guarantee their commitment and effectiveness in HR management implementation. Through a double survey (line manager and HR managers) to one hundred companies, we verified discrepancies in the HR versus line managers valuation, a lower valuation by the line managers, and we draw some useful conclusions for a successful implementation of HR practices.Publicación Using big data to analyze how and why users value urban blue spaces in Spain(Elsevier, 2024-03-23) Ballesteros Olza, Mario; Palencia González, Francisco JavierOne of the objectives outlined in the 2030 Agenda is to make cities and human settlements more inclusive, safe, resilient, and sustainable (Goal 11). This study analyzed the ratings (quantitative data), and opinions (qualitative data) of over half a million Google Maps reviews to discern how urban blue spaces (beaches and inland blue spaces) and green spaces (parks and ornamental gardens) were valued by users and the reasons behind their ratings, with a specific emphasis on the role played by the presence of water in these environments. The main findings indicated a more positive rating for blue spaces than green spaces. In addition, the qualitative analysis showed that aesthetic values were the most commented upon and appreciated feature of these spaces, followed by aspects related to physical activity, social interactions, relaxation, air quality, biodiversity, and those associated with the conservation and cleanliness of these spaces. These findings align with those from previous studies, suggesting a higher preference for blue spaces and a greater willingness to pay for houses and hotel rooms offering views of water.Publicación Measuring and targeting energy poverty in Europe using a multidimensional approach(Elsevier, 2025-02-11) Tovar Reaños, Miguel A.; Palencia González, Francisco Javier; Labeaga Azcona, José María; Agencia Estatal de InvestigaciónDespite the plethora of articles on energy poverty, very few use methods rooted in economic theory to measure the number of households facing this situation (i.e. extension) and its severity (i.e. intensity) of this multidimensional condition across different countries. We use a multidimensional approach and factor analysis to estimate a composite index. We compare both methods and use European data on self-reported energy poverty and expenditure to measure the problem at the extensive and intensive margins. We also use our indicators to assess the efficacy of targeting European energy-poor households. We find that Greece, Lithuania, and Romania have the highest proportion of energy-impoverished households and the highest intensity. Ireland has the highest relative efficiency in targeting households in this condition. We also find that while having a low likelihood of being in energy poverty in some countries, the intensity of this condition can be severe. Unemployment, disabilities and face cuts in social benefits increase the probability of being in energy poverty.