Estudio comparativo de los recursos y servicios en las bibliotecas universitarias y de investigación de la ciudad de Valencia.

En el presente trabajo se realiza una comparación de los recursos disponibles y de los servicios ofrecidos en las bibliotecas dependientes de la Universidad de Valencia (UV), de la Universidad Politécnica de Valencia (UPV) y del Consejo Superior de Investigaciones Científicas (CSIC), y localizadas geográficamente en la ciudad de Valencia. Asimismo, se pretende evaluar y comparar estos recursos y servicios en el conjunto de las bibliotecas dependientes de las tres instituciones citadas, mediante el empleo de unos ratios.In the present work it is realized a comparison of the provided resources and the services that are offered in the dependent libraries of the University of Valencia (UV), the Politecnic University of Valencia (UPV) and the Spanish Council for Scientific Research. In the same way, it is pretend to evaluate and to compare these resources and services in the related dependent libraries of the three institutions mentioned above, with the use of some [email protected] [email protected] (este artículo no aparece en grec

Application of the simultaneous equation models to temporary disability prescriptions in primary health care centres

[EN] Non-medical characteristics of primary healthcare centres (PHCs) influence the prescription of temporary disability leaves (incidence and absence rates) due to anxiety, as studied in the Valencian Community (E Spain; 5,111,706 inhabitants, 2009), where 485 centres (66%) were analysed. A structural two-equation model was used to explain which centres' factors impact prescriptions more. This model determined the influence of PHCs' factors (location, delay in specialized care, sick leave duration, etc.) on the incidence and absence rates, and on the interdependence between both rates. The results suggest the need to improve centres' management (clinical guidelines) and labour market regulations, and to control the disability benefits paid. © 2013 © 2013 Taylor & Francis.Guadalajara Olmeda, MN.; Barrachina Martínez, I. (2014). Application of the simultaneous equation models to temporary disability prescriptions in primary health care centres. International Journal of Computer Mathematics. 91(2):252-260. doi:10.1080/0020716.2013.808334S25226091

Assessing the localization impact on land values: a spatial hedonic study

[EN] The importance of spatial effects on arable land values has been well accepted in recent years. Consequently, the objective of the present study was to obtain spatial land valuing models using Geographic Information Systems (GIS), which collect spatial autocorrelation and improve the conventional models estimated by OLS (Ordinary Least Squares) to determine and quantify the factors explaining these values. To do so, the mean land values per municipality and the land uses published by the Aragonese Statistics Institute were used, as well as the geographic, agricultural, demographic, economic and orographic characteristics of these municipalities. The Spatial Lag Model and the Spatial Error Model were compared with OLS in general terms and for uses. The statistics (R2, log likelihood, Akaike¿s information criterion, Schwarz¿s criterion) demonstrated that spatial models always outperformed conventional models. The tests based on the Lagrange Multiplier and Likelihood Ratio tests were significant at 99%. The importance of both agricultural and non-agricultural factors for determining the arable land value was confirmed. The land value increased with irrigation availability (by a mean of 2.2-fold for the set of all land uses), plot size (by 5.7% for each 1 ha increase), population size, income and location in nature reserves (11.02-12.89%). This indicates the need to develop spatial models when modeling land prices by implementing GIS.Guadalajara Olmeda, MN.; Caballer, M.; Osca Lluch, JM. (2019). Assessing the localization impact on land values: a spatial hedonic study. Spanish Journal of Agricultural Research (Online). 17(3). https://doi.org/10.5424/sjar/2019173-1496117

Assessing the intangibles transferred in franchise businesses

[EN] In franchise systems, trade relationships between the franchisor and franchisee to exchange intangible resources for a franchise fee and subsequent payments are set up. This article provides data obtained by personal surveys on the restaurant industry franchise system in Mexico. The brand mark established by an initial investment, the time the franchise has operated, and its capacities to make profit are key factors in this exchange. The franchise size and its belonging to the Mexican Franchise Association are other intangible resources transferred in this relationship. © 2011 Springer-Verlag.Rodríguez, A.; Caballer Mellado, V.; Guadalajara Olmeda, MN. (2011). Assessing the intangibles transferred in franchise businesses. Service Business. 5(1):29-46. doi:10.1007/s11628-011-0100-3S294651Altinay L, Okumus F (2010) Franchise partner selection decision making. Serv Ind J 30(6):929–946Álvarez Y (2007) Análisis dinámico de la cadena de franquicia. Revista de Dinámica de Sistemas 3(1):48–74Baucus D, Baucus M, Human S (1993) Choosing a franchise: how base fees and royalties relate to the value of the franchise. J Small Bus Manag 31(2):91–103Blut M, Backhaus C, Heussler T, Woisetschläger D, Evanschitzky H, Ahlert D (2010) What to expect after the honeymoon: Testing a lifecycle theory of franchise relationships. J Retail. doi: 10.1016/j.jretai.2010.06.003Bordonaba V, Polo Y (2003) Análisis de las normas relacionales en el sector de la franquicia. Cuadernos de CC.EE 44–45:35–37Bordonaba V, Polo Y (2008) Influencia de la duración y el grado de orientación relacional en la franquicia. Revista Española de Investigación de Marketing 12(1):7–25Bordonaba V, Lucía L, Polo Y (2006) Valoración de los recursos intangibles: Un análisis empírico para el sector de la franquicia. Tribuna de Economía 829:177–188Bordonaba V, Lucía L, Polo Y (2008) Análisis del ciclo de vida de la franquicia en los sectores de moda y restauración. Universia Bus Rev 19:42–59Bradach JL (1997) Using the plural form in the management of restaurant chains. Adm Sci Q 42(2):276–303Brickley J (2002) Royalty rates and upfront fees in share contracts: evidence from franchising. J Law Econ Organ 18(2):511–535Carney M, Gedajlovic E (1991) Vertical integration in franchise systems: agency theory and resource explanations. Strateg Manag J 12(8):607–629Castrogiovanni G, Combs J, Justis R (2006) Resource scarcity and agency theory predictions concerning the continued use of franchising in multi-outlet networks. J Small Bus Manag 44(1):27–44Caves R, William F, Murphy W (1976) Franchising: firms, markets and intangible assets. South Econ J 42(4):572–586Chiu Y-H, Hu J-L (2003) Payment types and number of franchisees. Serv Ind J 23(4):42–60Combs J, Castrogiovanni G (1994) Franchisor strategy: a proposed model and empirical test of franchise versus company ownership. J Small Bus Manag 32(2):37–48Dant R, Kaufmann P (2003) Structural and strategic dynamics in franchising. J Retail 79:63–75De Castro L, Mota J, Marnoto S (2009) Toward a relational perspective of franchising chains. Serv Bus 3:15–30Díez E, Navarro A, Rondán F, Rodriguez C (2008) Unidades franquiciadas versus propias en el sistema de franquicia: una investigación empírica. Investigaciones Europeas de Dirección y Economía de la Empresa 14(2):185–210Fernández M, Martín J (2006) La confianza y el compromiso como factores clave del éxito de las relaciones comerciales: una aplicación empírica en el sistema de franquicia. Revista Europea de Dirección y Economía de la Empresa 15(1):77–100Forward J, Fulop C (1993) Elements of a franchise: the experiences of established firms. Serv Ind J 13(4):159–177Frazer L (2008) Motivations for franchisors to use flat continuing franchise fees. J Consum Market 15(6):587–597García-Herrera A, Llorca-Vivero R (2010) How time influences franchise contracts: the Spanish case. Eur J Law Econ 30:1–16Gillis W, Castrogiovanni G (2010) The franchising business model: an entrepreneurial growth alternative. Int Entrep Mang J. doi: 10.1007/s11365-010-0158-8Grace D, Weaven S (2010) An empirical analysis of franchisee value-in-use, investment risk and relation satisfaction. J Retail. doi: 10.1016/j.jretai.2010.06.001Harmon T, Griffiths M (2008) Franchisee perceived relationship value. J Bus Ind Market 23(4):256–263Holmberg S, Morgan K (2007) Entrepreneurial global franchise ventures: US and European franchisee failure strategic and empirical perspectives. Int Entrep Manag J 3:379–401Hua N, Templeton A (2010) Forces driving the growth of the restaurant industry in the USA. Int J Contemp Hosp Manag 22(1):56–68Jeon S, Park C (2002) A comparative analysis of two royalty structures in franchising under demand uncertainty. J Retail Consum Serv 9(1):37–43Kaufmann P, Dant R (2001) The pricing of franchise rights. J Retail 77(4):537–545López J, Martínez M, Ridao J (2001) El canon de entrada en la cadena de franquicia. Investigaciones Europeas de Dirección y Economía de la Empresa 7(2):63–76Maruyama M, Yamashita Y (2010) The logic of franchise contracts: empirical results of Japan. Jpn World Econ 22:183–192Michael S (1999) Do franchised chains advertise enough? J Retail 75(4):461–478Michael S, Combs J (2008) Entrepreneurial failure: the case of franchisees. J Small Bus Manag 46(1):73–90Minguela-Rata B, López-Sánchez J, Rodríguez-Benavides M (2009) The effect of knowledge complexity on the performance of franchise systems in the service industries: an empirical study. Serv Bus 3:101–115Nair S, Tikoo S, Liu S (2009) Valuing exclusivity from encroachment in franchising. J Retail 85(2):206–210Ramírez J (2007) Estudio analítico de las empresas cerveceras que operan bajo el sistema de franquicia en España. Estudios sobre Consumo 82:63–76Rondán F, Navarro A, Díez E (2007) Proposing new variables for the identification of strategic groups in franchising. Int Entrep Manag J 3:355–377Rubin P (1978) The theory of the firm and the structure of the franchise contract. J Law Econ 21:223–233Sen K (1993) The use of initial fees and royalties in business-format franchising. Manag Decis Econ 14(2):175–190Sen K (1998) The use of franchising as a growth strategy by US restaurant franchisors. J Consum Market 15(4):397–407Vázquez L (2005) Las compensaciones en las relaciones de franquicias. Revista de Economía Aplicada 38(13):111–122Windsperger J (2002) The structure of ownership rights in franchising: a incomplete contracting view. Eur J Law Econ 13:129–14

Valuating Technological Change: Visible or Invisible Rent in Irrigator Societies for Valuation based on the New Land Law (LS 2/2008) in Spain

[EN] In this study, a new valuation model is proposed for underground water extraction for irrigation, within the framework of the new Land Law (Ley del Suelo) in Spain. For this purpose, a method for rent capitalization, real or potential, is applied under different possible scenarios in irrigator communities in the province of Valencia, depending on the procedure for price fixing of water sold to members and the adoption of new localized irrigation technologies. In practice, water prices are equivalent to unit costs, which is why the actual rent of the exploitation is made invisible, and to make it visible, a water price must be considered. Consideration of the potential rent versus the real rent does not influence the value of societies that use new irrigation technologies, contrary to what happens in exploitations with traditional irrigation systems, which elevate their value.[ES] En el presente trabajo se formula un modelo de valoración de las explotaciones de agua subterránea para riego, en el marco de la nueva Ley del Suelo en España. Para ello se aplica el método de capitalización de la renta, real o potencial, bajo distintos escenarios posibles de las comunidades de regantes de la provincia de Valencia, según sea el procedimiento de fijación del precio de venta del agua a los socios y la adopción de las nuevas tecnologías de riego localizado. En la práctica, los precios del agua se hacen equivalentes a los costos unitarios, por lo que la renta real de la explotación se hace invisible, y para hacerla visible se debe considerar un precio del agua. La consideración de la renta potencial frente a la renta real no influye en el valor de las sociedades que utilizan nuevas tecnologías de riego, al contrario de lo que ocurre en las explotaciones con sistemas de riego tradicionales, que hace elevar su valor.Caballer Mellado, V.; Guadalajara Olmeda, MN. (2012). Valoración del Cambio Tecnológico. Renta visible o invisible en las Sociedades de Regantes a los Efectos de la Valoración según la Nueva Ley del Suelo (LS 2/2008) en España. Agricultura, sociedad y desarrollo. 9(1):1-15. http://hdl.handle.net/10251/64273S1159

A Comparative Analysis between Global University Rankings and Environmental Sustainability of Universities

[EN] Global University Rankings (GURs) intend to measure the performance of universities worldwide. Other rankings have recently appeared that evaluate the creation of environmental policies in universities, e.g., the Universitas Indonesia (UI) GreenMetric. This work aims to analyze the interaction between the Top 500 of such rankings by considering the geographical location of universities and their typologies. A descriptive analysis and a statistical logistical regression analysis were carried out. The former demonstrated that European and North American universities predominated the Top 500 of GURs, while Asian universities did so in the Top 500 of the UI GreenMetric ranking, followed by European universities. Older universities predominated the Top 500 of GURs, while younger ones did so in the Top 500 of the UI GreenMetric ranking. The second analysis demonstrated that although Latin American universities were barely present in the Top 500 of GURs, the probability of them appearing in the Top 500 of the UI GreenMetric ranking was 5-fold. We conclude that a low association exists between universities' academic performance and their commitment to the natural environment in the heart of their institutions. It would be advisable for GURs to include environmental indicators to promote sustainability at universities and to contribute to climate change.Muñoz-Suárez, M.; Guadalajara Olmeda, MN.; Osca Lluch, JM. (2020). A Comparative Analysis between Global University Rankings and Environmental Sustainability of Universities. Sustainability. 12(14):1-19. https://doi.org/10.3390/su12145759S1191214Dill, D. D., & Soo, M. (2005). Academic quality, league tables, and public policy: A cross-national analysis of university ranking systems. Higher Education, 49(4), 495-533. doi:10.1007/s10734-004-1746-8Shehatta, I., & Mahmood, K. (2016). Correlation among top 100 universities in the major six global rankings: policy implications. Scientometrics, 109(2), 1231-1254. doi:10.1007/s11192-016-2065-4Basu, A., Malhotra, D., Seth, T., & Kumar Muhuri, P. (2019). Global Distribution of Google Scholar Citations: A Size-independent Institution-based Analysis. Journal of Scientometric Research, 8(2), 72-78. doi:10.5530/jscires.8.2.12Mussard, M., & James, A. P. (2018). Engineering the Global University Rankings: Gold Standards, Limitations and Implications. IEEE Access, 6, 6765-6776. doi:10.1109/access.2017.2789326Olcay, G. A., & Bulu, M. (2017). Is measuring the knowledge creation of universities possible?: A review of university rankings. Technological Forecasting and Social Change, 123, 153-160. doi:10.1016/j.techfore.2016.03.029Moed, H. F. (2016). A critical comparative analysis of five world university rankings. Scientometrics, 110(2), 967-990. doi:10.1007/s11192-016-2212-yKivinen, O., Hedman, J., & Artukka, K. (2017). Scientific publishing and global university rankings. How well are top publishing universities recognized? Scientometrics, 112(1), 679-695. doi:10.1007/s11192-017-2403-1Alcaide, M. Á., De La Poza, E., & Guadalajara, N. (2019). Assessing the Sustainability of High-Value Brands in the IT Sector. Sustainability, 11(6), 1598. doi:10.3390/su11061598Massaro, M., Dumay, J., Garlatti, A., & Dal Mas, F. (2018). Practitioners’ views on intellectual capital and sustainability. Journal of Intellectual Capital, 19(2), 367-386. doi:10.1108/jic-02-2017-0033De Filippo, D., Sandoval-Hamón, L. A., Casani, F., & Sanz-Casado, E. (2019). Spanish Universities’ Sustainability Performance and Sustainability-Related R&D+I. Sustainability, 11(20), 5570. doi:10.3390/su11205570Trencher, G., Nagao, M., Chen, C., Ichiki, K., Sadayoshi, T., Kinai, M., … Yarime, M. (2017). Implementing Sustainability Co-Creation between Universities and Society: A Typology-Based Understanding. Sustainability, 9(4), 594. doi:10.3390/su9040594Sonetti, G., Lombardi, P., & Chelleri, L. (2016). True Green and Sustainable University Campuses? Toward a Clusters Approach. Sustainability, 8(1), 83. doi:10.3390/su8010083Zou, Y., Zhao, W., Mason, R., & Li, M. (2015). Comparing Sustainable Universities between the United States and China: Cases of Indiana University and Tsinghua University. Sustainability, 7(9), 11799-11817. doi:10.3390/su70911799An, Y., Davey, H., & Harun, H. (2017). Sustainability Reporting at a New Zealand Public University: A Longitudinal Analysis. Sustainability, 9(9), 1529. doi:10.3390/su9091529Blasco, N., Brusca, I., & Labrador, M. (2019). Assessing Sustainability and Its Performance Implications: An Empirical Analysis in Spanish Public Universities. Sustainability, 11(19), 5302. doi:10.3390/su11195302Alshuwaikhat, H., Adenle, Y., & Saghir, B. (2016). Sustainability Assessment of Higher Education Institutions in Saudi Arabia. Sustainability, 8(8), 750. doi:10.3390/su8080750Xiong, W., & Mok, K. H. (2020). Sustainability Practices of Higher Education Institutions in Hong Kong: A Case Study of a Sustainable Campus Consortium. Sustainability, 12(2), 452. doi:10.3390/su12020452Leal Filho, W., Emblen-Perry, K., Molthan-Hill, P., Mifsud, M., Verhoef, L., Azeiteiro, U. M., … Price, E. (2019). Implementing Innovation on Environmental Sustainability at Universities Around the World. Sustainability, 11(14), 3807. doi:10.3390/su11143807Brusca, I., Labrador, M., & Larran, M. (2018). The challenge of sustainability and integrated reporting at universities: A case study. Journal of Cleaner Production, 188, 347-354. doi:10.1016/j.jclepro.2018.03.292Alonso-García, S., Aznar-Díaz, I., Cáceres-Reche, M.-P., Trujillo-Torres, J.-M., & Romero-Rodríguez, J.-M. (2019). Systematic Review of Good Teaching Practices with ICT in Spanish Higher Education. Trends and Challenges for Sustainability. Sustainability, 11(24), 7150. doi:10.3390/su11247150Von Hauff, M., & Nguyen, T. (2014). Universities as Potential Actors for Sustainable Development. Sustainability, 6(5), 3043-3063. doi:10.3390/su6053043Roos, N., & Guenther, E. (2020). Sustainability management control systems in higher education institutions from measurement to management. International Journal of Sustainability in Higher Education, 21(1), 144-160. doi:10.1108/ijshe-01-2019-0030Caeiro, S., Sandoval Hamón, L. A., Martins, R., & Bayas Aldaz, C. E. (2020). Sustainability Assessment and Benchmarking in Higher Education Institutions—A Critical Reflection. Sustainability, 12(2), 543. doi:10.3390/su12020543Lehmann, M., Christensen, P., Thrane, M., & Jørgensen, T. H. (2009). University engagement and regional sustainability initiatives: some Danish experiences. Journal of Cleaner Production, 17(12), 1067-1074. doi:10.1016/j.jclepro.2009.03.013Salvioni, D. M., Franzoni, S., & Cassano, R. (2017). Sustainability in the Higher Education System: An Opportunity to Improve Quality and Image. Sustainability, 9(6), 914. doi:10.3390/su9060914Li, X., Ni, G., & Dewancker, B. (2019). Improving the attractiveness and accessibility of campus green space for developing a sustainable university environment. Environmental Science and Pollution Research, 26(32), 33399-33415. doi:10.1007/s11356-019-06319-zSuwartha, N., & Berawi, M. A. (2019). The Role of UI GreenMetric as a Global Sustainable Rankings for Higher Education Institutions. International Journal of Technology, 10(5), 862. doi:10.14716/ijtech.v10i5.3670Puertas, R., & Marti, L. (2019). Sustainability in Universities: DEA-GreenMetric. Sustainability, 11(14), 3766. doi:10.3390/su11143766Academic Ranking of World Universities-ARWUhttp://www.shanghairanking.com/ARWU-Methodology-2017.htmlQS Top University Rankingshttps://www.topuniversities.com/qs-world-university-rankings/methodologyTHE World University Rankingshttps://www.timeshighereducation.com/world-university-rankingsRanking Web de Universidades-Webometricshttp://www.webometrics.info/en/About_UsLiu, Z., Moshi, G. J., & Awuor, C. M. (2019). Sustainability and Indicators of Newly Formed World-Class Universities (NFWCUs) between 2010 and 2018: Empirical Analysis from the Rankings of ARWU, QSWUR and THEWUR. Sustainability, 11(10), 2745. doi:10.3390/su11102745Marginson, S. (2013). University Rankings and Social Science. European Journal of Education, 49(1), 45-59. doi:10.1111/ejed.12061Hauptman Komotar, M. (2019). Global university rankings and their impact on the internationalisation of higher education. European Journal of Education, 54(2), 299-310. doi:10.1111/ejed.12332Peters, M. A. (2017). Global university rankings: Metrics, performance, governance. Educational Philosophy and Theory, 51(1), 5-13. doi:10.1080/00131857.2017.1381472Hosier, M., & Hoolash, B. K. A. (2017). The effect of methodological variations on university rankings and associated decision-making and policy. Studies in Higher Education, 44(1), 201-214. doi:10.1080/03075079.2017.1356282Safón, V. (2019). Inter-ranking reputational effects: an analysis of the Academic Ranking of World Universities (ARWU) and the Times Higher Education World University Rankings (THE) reputational relationship. Scientometrics, 121(2), 897-915. doi:10.1007/s11192-019-03214-9Tuesta, E. F., Garcia-Zorita, C., Ayllon, R. R., & Sanz-Casado, E. (2019). Does a Country/Region’s Economic Status Affect Its Universities’ Presence in International Rankings? Journal of Data and Information Science, 4(2), 56-78. doi:10.2478/jdis-2019-0009Dobrota, M., & Dobrota, M. (2015). ARWU ranking uncertainty and sensitivity: What if the award factor was Excluded? Journal of the Association for Information Science and Technology, 67(2), 480-482. doi:10.1002/asi.23527Dowsett, L. (2020). Global university rankings and strategic planning: a case study of Australian institutional performance. Journal of Higher Education Policy and Management, 42(4), 478-494. doi:10.1080/1360080x.2019.1701853Rehman, M. A., Kashif, M., & Mingione, M. (2017). Corporate Social Responsibility and Sustainability (CSRS) Initiatives among European and Asian Business Schools: A Web-based Content Analysis. Global Business Review, 20(5), 1231-1247. doi:10.1177/0972150917737435Doğan, G., & Al, U. (2019). Is it possible to rank universities using fewer indicators? A study on five international university rankings. Aslib Journal of Information Management, 71(1), 18-37. doi:10.1108/ajim-05-2018-0118Siniksaran, E., & Satman, M. H. (2019). WURS: a simulation software for university rankings—software review. Scientometrics, 122(1), 701-717. doi:10.1007/s11192-019-03269-8Çakır, M. P., Acartürk, C., Alaşehir, O., & Çilingir, C. (2015). A comparative analysis of global and national university ranking systems. Scientometrics, 103(3), 813-848. doi:10.1007/s11192-015-1586-6Docampo, D., & Cram, L. (2016). Academic performance and institutional resources: a cross-country analysis of research universities. Scientometrics, 110(2), 739-764. doi:10.1007/s11192-016-2189-6Jöns, H., & Hoyler, M. (2013). Global geographies of higher education: The perspective of world university rankings. Geoforum, 46, 45-59. doi:10.1016/j.geoforum.2012.12.014UI GreenMetric World University Rankinghttp://greenmetric.ui.ac.id/Suwartha, N., & Sari, R. F. (2013). Evaluating UI GreenMetric as a tool to support green universities development: assessment of the year 2011 ranking. Journal of Cleaner Production, 61, 46-53. doi:10.1016/j.jclepro.2013.02.034Lauder, A., Sari, R. F., Suwartha, N., & Tjahjono, G. (2015). Critical review of a global campus sustainability ranking: GreenMetric. Journal of Cleaner Production, 108, 852-863. doi:10.1016/j.jclepro.2015.02.080Ragazzi, M., & Ghidini, F. (2017). Environmental sustainability of universities: critical analysis of a green ranking. Energy Procedia, 119, 111-120. doi:10.1016/j.egypro.2017.07.054Marrone, P., Orsini, F., Asdrubali, F., & Guattari, C. (2018). Environmental performance of universities: Proposal for implementing campus urban morphology as an evaluation parameter in Green Metric. Sustainable Cities and Society, 42, 226-239. doi:10.1016/j.scs.2018.07.012Drahein, A. D., De Lima, E. P., & Da Costa, S. E. G. (2019). Sustainability assessment of the service operations at seven higher education institutions in Brazil. Journal of Cleaner Production, 212, 527-536. doi:10.1016/j.jclepro.2018.11.293Parvez, N., & Agrawal, A. (2019). Assessment of sustainable development in technical higher education institutes of India. Journal of Cleaner Production, 214, 975-994. doi:10.1016/j.jclepro.2018.12.305Undetermined Scalehttps://www.google.es/maps/@39.4657727,-0.8023025,3zQGIS Geographic Information Systemhttps://qgis.orgGao, X. (Andy), & Zheng, Y. (2018). ‘Heavy mountains’ for Chinese humanities and social science academics in the quest for world-class universities. Compare: A Journal of Comparative and International Education, 50(4), 554-572. doi:10.1080/03057925.2018.1538770Zhou, Y., & Wu, J. (2016). The Game Plan: Four Contradictions in the Development of World Class Universities from the Global South. TED EĞİTİM VE BİLİM, 41(184). doi:10.15390/eb.2016.6152Alba-Hidalgo, D., Benayas del Álamo, J., & Gutiérrez-Pérez, J. (2018). Towards a Definition of Environmental Sustainability Evaluation in Higher Education. Higher Education Policy, 31(4), 447-470. doi:10.1057/s41307-018-0106-

Predicting healthcare expenditure by multimorbidity groups

[EN] Objectives: This article has two main purposes. Firstly, to model the integrated healthcare expenditure for the entire population of a health district in Spain, according to multimorbidity, using Clinical Risk Groups (CRG). Secondly, to show how the predictive model is applied to the allocation of health budgets. Methods: The database used contains the information of 156,811 inhabitants in a Valencian Community health district in 2013. The variables were: age, sex, CRG's main health statuses, severity level, and healthcare expenditure. The two-part models were used for predicting healthcare expenditure. From the coefficients of the selected model, the relative weights of each group were calculated to set a case-mix in each health district. Results: Models based on multimorbidity-related variables better explained integrated healthcare expenditure. In the first part of the two-part models, a logit model was used, while the positive costs were modelled with a log-linear OLS regression. An adjusted R-2 of 46-49% between actual and predicted values was obtained. With the weights obtained by CRG, the differences found with the case-mix of each health district proved most useful for budgetary purposes. Conclusions: The expenditure models allowed improved budget allocations between health districts by taking into account morbidity, as opposed to budgeting based solely on population size.This work was supported by "Instituto de Salud Carlos III - Ministerio de Economia y Competitividad" and the European Union (FEDER funds) - FIS PI12/00037.Caballer-Tarazona, V.; Guadalajara Olmeda, MN.; Vivas-Consuelo, D. (2019). Predicting healthcare expenditure by multimorbidity groups. Health Policy. 123(4):427-434. https://doi.org/10.1016/j.healthpol.2019.02.002S427434123

INCIDENCE OF OROGRAPHY IN THE VALUE OF PARCEL CONCENTRATION INVESTMENTS IN TERUEL (SPAIN)

Creative Commons. Attribution 3.0 Unported (CC BY 3.0)[EN] Parcel concentration is implemented in smallholding areas with the aim of decreasing costs of production and increasing profitability of farms. In Spain, its origins date back to 1953 and it is currently an instrument for territorial regulation in rural areas. All previous reports for parcel concentration include a prediction of costs for the necessary works, in order to estimate, approximately, expenditures for Public Administrations and to plan the execution of actions. In all of these, there is a reference about the importance of orography in the cost of works, fundamentally for the road network, which is the primary work. The incidence of orography on the costs of parcel concentration works is quantified based on information obtained from works for parcel concentration already done in the province of Teruel, together with data about orography in those areas, obtained from a digital model for terrain lifting. In addition, a model is obtained through the ordinary minimum squares regression method, which explains the costs of works and which uses as an explaining variable the average slope of the terrain.[ES] La concentración parcelaria se aplica en zonas de minifundio con el objetivo de disminuir los costes de producción y aumentar la rentabilidad de las explotaciones. En España sus orígenes datan del año 1953 y en la actualidad es un instrumento de ordenación territorial en el medio rural. Todos los informes previos de concentración parcelaria contienen una previsión del coste de las obras necesarias para conocer, de forma aproximada, los gastos para la Administración Pública y planificar la ejecución de las actuaciones. En todos ellos se hace referencia a la importancia de la orografía en el coste de las obras, fundamentalmente la de la red de caminos, que es la obra principal. A partir de la información obtenida de los trabajos de concentración parcelaria ya realizados en la provincia de Teruel, junto con datos sobre la orografía en dichas zonas, obtenidos a partir de un modelo digital de elevación del terreno, se cuantifica la incidencia de la orografía en el coste de las obras de concentración parcelaria. Además se obtiene un modelo, por el método de regresión de mínimos cuadrados ordinarios, que explica el coste de las obras, en el que se usa como variable explicativa la pendiente media del terreno.Sánchez Santos, S.; Guadalajara Olmeda, MN. (2011). La incidencia de la orografía en el valor de las inversiones de concentración parcelaria en Teruel (España). Incidence of orography in the value of parcel concentration investments in Teruel (Spain). Agricultura, sociedad y desarrollo. 8(1):1-17. http://hdl.handle.net/10251/602801178

Impacto del tratamiento con Teriparatida en la calidad de vida de las personas con osteoporosis

Creative Commons: Atribución-NoComercial-SinDerivadas 3.0 Unported (CC BY-NC-ND 3.0)[ES] Fundamentos: La pérdida ósea en pacientes osteoporóticos, conlleva riesgo de fracturas, dolor óseo vertebral y disminución de la calidad de vida. El objetivo de este trabajo fue analizar el efecto de la teriparatida (TPTD) en pacientes osteoporóticos y con dolor vertebral. Métodos: Estudio observacional longitudinal prospectivo, entre abril de 2006 y febrero de 2014, en los 77 pacientes tratados con TPTD en la Unidad del Dolor del Hospital de Teruel. La duración del tratamiento fue de 18 o 24 meses. Se utilizó la Escala Visual Analógica (EVA) para la medición del dolor y el cuestionario europeo de calidad de vida (EuroQol-5D) para obtener la tarifa social (TS), antes y después el tratamiento. Se realizó un análisis descriptivo, de regresión lineal y logística. Resultados: Se observó una mejoría del dolor (80%) y de la calidad de vida (65 %). Se mejoró la EVA media (5,42 a 3,47 puntos) y el EuroQol-5D (0,36 a 0,58 puntos). La regresión indicó una mejora de la EVA en 0,441 puntos por cada punto de EVA inicial, y de la TS en 0,0528 puntos por cada 0,1 puntos de TS inicial. La probabilidad de mejorar la EVA en 3 puntos (OR=2,021), fue mayor que de mejorar 2 puntos (OR=1,695). Conclusiones: La TPTD en pacientes osteoporóticos reduce el dolor óseo y mejora la calidad de vida. Su efecto es mayor en pacientes con peor estado de salud inicial, pudiendo ser utilizado como criterio para las decisiones terapéuticas y de gestión clínica.[EN] Background: Lost bone in osteoporotic patients increases the risk of fractures and back pain, and decreases quality of life. The aim of this study was to analyse the effect of teriparatide (TPTD) in osteoporotic patients with vertebral pain in Teruel. Methods: A prospective observational study between April 2006 and February 2014 was done with 77 patients treated with teriparatide in the Pain Unit of Hospital Obispo Polanco of Teruel (Spain). Treatment duration was 18 or 24 months. Pain was assessed by the Visual Analogue Scale (VAS). Health-related quality of life was measured using the European Quality of Life Questionnaire (EuroQol-5D) in order to obtain the social tariff (ST). Pre and post- treatment values were collected respectively. A descriptive and regression analysis was done. Results: Improvement in pain was observed (80%) and in health-related quality of life (65%). The mean VAS improved (from 5.42 to 3.47 points) and the mean health status value too (from 0.36 to 0.58 points). The regression indicated an improvement of VAS in 0.441 for each initial VAS point, and of ST in 0.0528 points for each 0.1 initial ST point. The probability of VAS reduction in 3 points (OR= 2.021) was greater than in 2 points (OR= 1.695). Conclusions: TPTD reduces pain and improves quality of life of osteoporotic patients. The worse the baseline situation, the more patients health improved, so it could be used as criteria for therapeutic decisions and health management.Osca Guadalajara, M.; Guadalajara Olmeda, MN.; Escartín Martínez, R. (2015). Impacto del tratamiento con Teriparatida en la calidad de vida de las personas con osteoporosis. Revista Española de Salud Pública. 89(2):217-227. doi:10.4321/S1135-57272015000200009S21722789

Predicting the Reputation of Pharmaceutical Firms with Financing and Geographical Location Data

[EN] Reputation is a strategic asset for firms, but has been poorly studied in the pharmaceutical industry, particularly in relation to their financial and stock-market performance. This work aimed to predict the probability of a firm being included in a pharmaceutical reputation index (Merco and PatientView), and the position it occupies, according to its economic¿financial and stock-market outcomes and its geographical location. Fifty firms with excellent sales in 2019 and their rankings in 2017¿2019 were employed. The methodology followed was logistic regression. Their research and development (R&D) expenditures and dividends strongly influenced them being included in both rankings. Non-Asian pharmaceutical companies were more likely to belong to the two reputation indices than Asian ones, and to occupy the best positions in the Merco ranking. Although no large differences appeared in the firms in both indices, differences were found in the position that pharmaceutical companies occupied in rankings and in the variables that contribute to them occupying these positions. Being in PatientView influenced dividends, sales, and income, while appearing in Merco showed accounting aspects like value in books and debt ratio.Alcaide González, MÁ.; De La Poza, E.; Guadalajara Olmeda, MN. (2021). Predicting the Reputation of Pharmaceutical Firms with Financing and Geographical Location Data. Mathematics. 9(16):1-17. https://doi.org/10.3390/math9161893S11791