- -

Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Puertas;Martí;Guata ...
Tamaño: 726.7Kb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: Manuscript public ...
Tamaño: 678.2Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Puertas Medina, Rosa María es_ES
dc.contributor.author Martí Selva, María Luisa es_ES
dc.contributor.author Guaita Martínez, José Manuel es_ES
dc.date.accessioned 2021-05-21T03:31:51Z
dc.date.available 2021-05-21T03:31:51Z
dc.date.issued 2020-11 es_ES
dc.identifier.issn 0040-1625 es_ES
dc.identifier.uri http://hdl.handle.net/10251/166584
dc.description.abstract [EN] The need to innovate in order to adapt to continuous changes in the environment affects all production units, but this may be particularly true of the health sector, which is key to ensuring healthy lives. However, the day-to-day running of a country absorbs nearly all its economic resources, with health innovation being consistently overlooked and only coming to the fore in isolated cases of public emergencies. This research has a twofold objective. First, it analyses the efficiency of national expenditure on research and development (R&D) in the health sector and the changes in productivity that occurred in the period 2009-2017, using DEA-Bootstrap and the Global Malmquist Index. Second, regression models are used to quantify the relative importance of said efficiency for the health status of the population, introducing other aspects that a priori could also be expected to affect this status. The sample is composed of 23 European OECD countries, and a biennial data analysis is carried out to ensure the results are stable over time, as well as to study the particular case of each of the countries analysed. The results reveal that efficiency is not determined by the volume of resources allocated to health innovation. The budget that Norway assigns to R&D in the health sector is only a quarter that of Germany's, but it more efficiently transforms that spending into quality of life. In addition, the level of happiness, the country's wealth, and spending on health are the factors that have the greatest effect on the perceived health status of the European population. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Technological Forecasting and Social Change es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Health innovation es_ES
dc.subject DEA-Bootstrap es_ES
dc.subject Global Malmquist Index es_ES
dc.subject Perceived health status es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.title Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.techfore.2020.120209 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Puertas Medina, RM.; Martí Selva, ML.; Guaita Martínez, JM. (2020). Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life. Technological Forecasting and Social Change. 160:1-10. https://doi.org/10.1016/j.techfore.2020.120209 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.techfore.2020.120209 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 160 es_ES
dc.relation.pasarela S\416964 es_ES
dc.description.references Abolghasem, S., Toloo, M., & Amézquita, S. (2019). Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems. Health Care Management Science, 22(3), 512-533. doi:10.1007/s10729-019-09478-0 es_ES
dc.description.references Afonso, A., St. Aubyn, M., 2006. Relative efficiency of health provision: a DEA approach with non-discretionary inputs. ISEG-UTL Economics Working Paper, No. 33/2006/DE/UECE. 10.2139/ssrn.952629. es_ES
dc.description.references Akca, N., Sönmez, S., & Yılmaz, A. (2017). Determinants of health expenditure in OECD countries: A decision tree model. Pakistan Journal of Medical Sciences, 33(6). doi:10.12669/pjms.336.13300 es_ES
dc.description.references Ancarani, A., Di Mauro, C., Gitto, S., Mancuso, P., & Ayach, A. (2016). Technology acquisition and efficiency in Dubai hospitals. Technological Forecasting and Social Change, 113, 475-485. doi:10.1016/j.techfore.2016.07.010 es_ES
dc.description.references Asandului, L., Roman, M., & Fatulescu, P. (2014). The Efficiency of Healthcare Systems in Europe: A Data Envelopment Analysis Approach. Procedia Economics and Finance, 10, 261-268. doi:10.1016/s2212-5671(14)00301-3 es_ES
dc.description.references Banker, R. D., & Natarajan, R. (2008). Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis. Operations Research, 56(1), 48-58. doi:10.1287/opre.1070.0460 es_ES
dc.description.references Berger, M. C., & Messer, J. (2002). Public financing of health expenditures, insurance, and health outcomes. Applied Economics, 34(17), 2105-2113. doi:10.1080/00036840210135665 es_ES
dc.description.references Bhat, V. N. (2005). Institutional arrangements and efficiency of health care delivery systems. The European Journal of Health Economics, 6(3), 215-222. doi:10.1007/s10198-005-0294-1 es_ES
dc.description.references Brown, R. (2006). Mismanagement or mismeasurement? Pitfalls and protocols for DEA studies in the financial services sector. European Journal of Operational Research, 174(2), 1100-1116. doi:10.1016/j.ejor.2005.03.025 es_ES
dc.description.references Büchner, V. A., Hinz, V., & Schreyögg, J. (2014). Health systems: changes in hospital efficiency and profitability. Health Care Management Science, 19(2), 130-143. doi:10.1007/s10729-014-9303-1 es_ES
dc.description.references Caves, D. W., Christensen, L. R., & Diewert, W. E. (1982). The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity. Econometrica, 50(6), 1393. doi:10.2307/1913388 es_ES
dc.description.references Cetin, V. R., & Bahce, S. (2016). Measuring the efficiency of health systems of OECD countries by data envelopment analysis. Applied Economics, 48(37), 3497-3507. doi:10.1080/00036846.2016.1139682 es_ES
dc.description.references Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8 es_ES
dc.description.references Chowdhury, H., & Zelenyuk, V. (2016). Performance of hospital services in Ontario: DEA with truncated regression approach. Omega, 63, 111-122. doi:10.1016/j.omega.2015.10.007 es_ES
dc.description.references Cleven, A., Mettler, T., Rohner, P., & Winter, R. (2016). Healthcare quality innovation and performance through process orientation: Evidence from general hospitals in Switzerland. Technological Forecasting and Social Change, 113, 386-395. doi:10.1016/j.techfore.2016.07.007 es_ES
dc.description.references Consoli, D., & Ramlogan, R. (2011). Patterns of organization in the development of medical know-how: the case of glaucoma research. Industrial and Corporate Change, 21(2), 315-343. doi:10.1093/icc/dtr043 es_ES
dc.description.references Côté-Boileau, É., Denis, J.-L., Callery, B., & Sabean, M. (2019). The unpredictable journeys of spreading, sustaining and scaling healthcare innovations: a scoping review. Health Research Policy and Systems, 17(1). doi:10.1186/s12961-019-0482-6 es_ES
dc.description.references Cruz-Cázares, C., Bayona-Sáez, C., & García-Marco, T. (2013). You can’t manage right what you can’t measure well: Technological innovation efficiency. Research Policy, 42(6-7), 1239-1250. doi:10.1016/j.respol.2013.03.012 es_ES
dc.description.references Dias, C., & Escoval, A. (2015). Hospitals as Learning Organizations. Quality Management in Health Care, 24(1), 52-59. doi:10.1097/qmh.0000000000000046 es_ES
dc.description.references Essén, A., & Lindblad, S. (2013). Innovation as emergence in healthcare: Unpacking change from within. Social Science & Medicine, 93, 203-211. doi:10.1016/j.socscimed.2012.08.035 es_ES
dc.description.references European Commission., 2017. EU Futurism: FET Flagships. Available athttps://ec.europa.eu/futurium/en/content/fet-flagships. es_ES
dc.description.references Evans, D.B., Tandon, A., Murray, C.J.L., Lauer, J.A., 2001. The comparative efficiency of national health systems in producing health: an analysis of 191 countries. GPE Discussion Paper Series No. 29. Geneva: WHO, EIP/GPE/EQC. es_ES
dc.description.references Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253. doi:10.2307/2343100 es_ES
dc.description.references Franco, C., & Leoncini, R. (2013). Measuring China’s innovative capacity: a stochastic frontier exercise. Economics of Innovation and New Technology, 22(2), 199-217. doi:10.1080/10438599.2012.744174 es_ES
dc.description.references Fried, H. O., Lovell, C. A. K., Schmidt, S. S., & Yaisawarng, S. (2002). Journal of Productivity Analysis, 17(1/2), 157-174. doi:10.1023/a:1013548723393 es_ES
dc.description.references Frogner, B. K., Frech, H. E., & Parente, S. T. (2015). Comparing efficiency of health systems across industrialized countries: a panel analysis. BMC Health Services Research, 15(1). doi:10.1186/s12913-015-1084-9 es_ES
dc.description.references Baker, G. R., & Denis, J.-L. (2011). Medical leadership in health care systems: from professional authority to organizational leadership. Public Money & Management, 31(5), 355-362. doi:10.1080/09540962.2011.598349 es_ES
dc.description.references Galbrun, J., & Kijima, K. J. (2009). A co‐evolutionary perspective in medical technology: Clinical innovation systems in Europe and in Japan. Asian Journal of Technology Innovation, 17(2), 195-216. doi:10.1080/19761597.2009.9668679 es_ES
dc.description.references Galbrun, J., & Kijima, K. J. (2010). Fostering innovation in medical technology with hierarchy theory: Narratives on emergent clinical solutions. Systems Research and Behavioral Science, 27(5), 523-536. doi:10.1002/sres.1054 es_ES
dc.description.references García-Goñi, M., Maroto, A., & Rubalcaba, L. (2007). Innovation and motivation in public health professionals. Health Policy, 84(2-3), 344-358. doi:10.1016/j.healthpol.2007.05.006 es_ES
dc.description.references Guan, J., & Chen, K. (2009). Modeling macro-R&D production frontier performance: an application to Chinese province-level R&D. Scientometrics, 82(1), 165-173. doi:10.1007/s11192-009-0030-1 es_ES
dc.description.references Hadad, S., Hadad, Y., & Simon-Tuval, T. (2011). Determinants of healthcare system’s efficiency in OECD countries. The European Journal of Health Economics, 14(2), 253-265. doi:10.1007/s10198-011-0366-3 es_ES
dc.description.references Han, U., Asmild, M., & Kunc, M. (2014). Regional R&D Efficiency in Korea from Static and Dynamic Perspectives. Regional Studies, 50(7), 1170-1184. doi:10.1080/00343404.2014.984670 es_ES
dc.description.references Herrera, S., Pang, G., 2005. Efficiency of public spending in developing countries: an efficiency frontier approach. Policy Research Working Paper. World Bank. https://openknowledge.worldbank.org/handle/10986/8325. es_ES
dc.description.references Hoff, A. (2007). Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1), 425-435. doi:10.1016/j.ejor.2006.05.019 es_ES
dc.description.references Hollingsworth, B. (2008). The measurement of efficiency and productivity of health care delivery. Health Economics, 17(10), 1107-1128. doi:10.1002/hec.1391 es_ES
dc.description.references Hollingsworth, B., & Wildman, J. (2003). The efficiency of health production: re-estimating the WHO panel data using parametric and non-parametric approaches to provide additional information. Health Economics, 12(6), 493-504. doi:10.1002/hec.751 es_ES
dc.description.references Ibrahim, M. D., Daneshvar, S., Hocaoğlu, M. B., & Oluseye, O.-W. G. (2018). An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence. Social Indicators Research, 143(1), 371-389. doi:10.1007/s11205-018-1969-1 es_ES
dc.description.references Jacobs, R., Smith, P.C., Street, A., 2006. Measuring efficiency in health care. New York: Cambridge University Press. 10.1017/CBO9780511617492. es_ES
dc.description.references Jamison, D.T., Sandbu, M., Wang, J., 2001. Cross country variation in mortality decline, 1962-87: the role of country specific technical progress. CMH Working Paper No. WGI: 4. Geneva: WHO, Commission on Macroeconomics and Health. es_ES
dc.description.references Janssen, M., & Moors, E. H. M. (2013). Caring for healthcare entrepreneurs — Towards successful entrepreneurial strategies for sustainable innovations in Dutch healthcare. Technological Forecasting and Social Change, 80(7), 1360-1374. doi:10.1016/j.techfore.2012.12.003 es_ES
dc.description.references Joumard, I., André, C., Nicq, C., Chatal, O., 2008. Health status determinants: lifestyle, environment, health care resources and efficiency. OECD Economics Department Working Papers 627, OECD Publishing. 10.2139/ssrn.1616544. es_ES
dc.description.references Kim, C., & Kim, H. J. (2019). A study on healthcare supply chain management efficiency: using bootstrap data envelopment analysis. Health Care Management Science, 22(3), 534-548. doi:10.1007/s10729-019-09471-7 es_ES
dc.description.references Kim, R. H., Gaukler, G. M., & Lee, C. W. (2016). Improving healthcare quality: A technological and managerial innovation perspective. Technological Forecasting and Social Change, 113, 373-378. doi:10.1016/j.techfore.2016.09.012 es_ES
dc.description.references Kim, Y., Oh, D., & Kang, M. (2016). Productivity changes in OECD healthcare systems: bias-corrected Malmquist productivity approach. The International Journal of Health Planning and Management, 31(4), 537-553. doi:10.1002/hpm.2333 es_ES
dc.description.references Labra, R., Torrecillas, C., 2014. Guía CERO para datos de panel. Un enfoque práctico. UAM-Accenture Working Papers. Madrid. es_ES
dc.description.references Lee, H., Choi, Y., & Seo, H. (2020). Comparative analysis of the R&D investment performance of Korean local governments. Technological Forecasting and Social Change, 157, 120073. doi:10.1016/j.techfore.2020.120073 es_ES
dc.description.references Lee, S., & Kim, C. (2018). Estimation of Association between Healthcare System Efficiency and Policy Factors for Public Health. Applied Sciences, 8(12), 2674. doi:10.3390/app8122674 es_ES
dc.description.references Malerba, F. (2002). Sectoral systems of innovation and production. Research Policy, 31(2), 247-264. doi:10.1016/s0048-7333(01)00139-1 es_ES
dc.description.references Medeiros, J., Schwierz, C., 2015. Efficiency estimates of health care systems. Economic Paper 549. European Economy. European Commission. es_ES
dc.description.references Min, S., Kim, J., & Sawng, Y.-W. (2020). The effect of innovation network size and public R&D investment on regional innovation efficiency. Technological Forecasting and Social Change, 155, 119998. doi:10.1016/j.techfore.2020.119998 es_ES
dc.description.references Mittal, V., Anderson, E. W., Sayrak, A., & Tadikamalla, P. (2005). Dual Emphasis and the Long-Term Financial Impact of Customer Satisfaction. Marketing Science, 24(4), 544-555. doi:10.1287/mksc.1050.0142 es_ES
dc.description.references Ni Luasa, S., Dineen, D., & Zieba, M. (2016). Technical and scale efficiency in public and private Irish nursing homes – a bootstrap DEA approach. Health Care Management Science, 21(3), 326-347. doi:10.1007/s10729-016-9389-8 es_ES
dc.description.references Nixon, J., & Ulmann, P. (2006). The relationship between health care expenditure and health outcomes. The European Journal of Health Economics, 7(1), 7-18. doi:10.1007/s10198-005-0336-8 es_ES
dc.description.references Oh, D. (2010). A global Malmquist-Luenberger productivity index. Journal of Productivity Analysis, 34(3), 183-197. doi:10.1007/s11123-010-0178-y es_ES
dc.description.references Or, Z., Wang, J., & Jamison, D. (2005). International differences in the impact of doctors on health: a multilevel analysis of OECD countries. Journal of Health Economics, 24(3), 531-560. doi:10.1016/j.jhealeco.2004.09.003 es_ES
dc.description.references Pastor, J. T., & Lovell, C. A. K. (2005). A global Malmquist productivity index. Economics Letters, 88(2), 266-271. doi:10.1016/j.econlet.2005.02.013 es_ES
dc.description.references Proksch, D., Busch-Casler, J., Haberstroh, M. M., & Pinkwart, A. (2019). National health innovation systems: Clustering the OECD countries by innovative output in healthcare using a multi indicator approach. Research Policy, 48(1), 169-179. doi:10.1016/j.respol.2018.08.004 es_ES
dc.description.references Retzlaff-Roberts, D., Chang, C. F., & Rubin, R. M. (2004). Technical efficiency in the use of health care resources: a comparison of OECD countries. Health Policy, 69(1), 55-72. doi:10.1016/j.healthpol.2003.12.002 es_ES
dc.description.references Rivard, L., & Lehoux, P. (2019). When desirability and feasibility go hand in hand: innovators’ perspectives on what is and is not responsible innovation in health. Journal of Responsible Innovation, 7(1), 76-95. doi:10.1080/23299460.2019.1622952 es_ES
dc.description.references Roodman, D. (2009). A Note on the Theme of Too Many Instruments. Oxford Bulletin of Economics and Statistics, 71(1), 135-158. doi:10.1111/j.1468-0084.2008.00542.x es_ES
dc.description.references Salomon, J.A., Mathers, C.D., Murray, C.J.L., Ferguson, B., 2001. Method for life expectancy and healthy life expectancy uncertainty analysis. Global programme on evidence for health policy. Working Paper No. 10. Geneva: WHO. es_ES
dc.description.references See, K. F., & Yen, S. H. (2018). Does happiness matter to health system efficiency? A performance analysis. Health Economics Review, 8(1). doi:10.1186/s13561-018-0214-6 es_ES
dc.description.references Simar, L., & Wilson, P. W. (2000). Journal of Productivity Analysis, 13(1), 49-78. doi:10.1023/a:1007864806704 es_ES
dc.description.references Lo Storto, C., & Goncharuk, A. G. (2017). Efficiency vs Effectiveness: a Benchmarking Study on European Healthcare Systems. Economics & Sociology, 10(3), 102-115. doi:10.14254/2071-789x.2017/10-3/8 es_ES
dc.description.references Tchouaket, É. N., Lamarche, P. A., Goulet, L., & Contandriopoulos, A. P. (2012). Health care system performance of 27 OECD countries. The International Journal of Health Planning and Management, 27(2), 104-129. doi:10.1002/hpm.1110 es_ES
dc.description.references Thune, T., & Mina, A. (2016). Hospitals as innovators in the health-care system: A literature review and research agenda. Research Policy, 45(8), 1545-1557. doi:10.1016/j.respol.2016.03.010 es_ES
dc.description.references Titko, J., Stankevičienė, J., & Lāce, N. (2014). MEASURING BANK EFFICIENCY: DEA APPLICATION. Technological and Economic Development of Economy, 20(4), 739-757. doi:10.3846/20294913.2014.984255 es_ES
dc.description.references Top, M., Konca, M., & Sapaz, B. (2020). Technical efficiency of healthcare systems in African countries: An application based on data envelopment analysis. Health Policy and Technology, 9(1), 62-68. doi:10.1016/j.hlpt.2019.11.010 es_ES
dc.description.references Ugurluoglu, O., Ugurluoglu Aldogan, E., & Dilmac, E. (2012). The impact of managers’ perceptions of learning organizations on innovation in healthcare: sample of Turkey. The International Journal of Health Planning and Management, 28(2), e158-e168. doi:10.1002/hpm.2143 es_ES
dc.description.references United Nations Statistics Division, Social Indicators, 2011. Available at http://unstats.un.org/unsd/demographic/products/socind/health.htm. es_ES
dc.description.references Varabyova, Y., & Schreyögg, J. (2013). International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches. Health Policy, 112(1-2), 70-79. doi:10.1016/j.healthpol.2013.03.003 es_ES
dc.description.references Wang, C.-H., Lee, J.-Y., & Chang, Y.-H. (2012). Measuring productivity in the biotechnology industry using the global Malmquist index. Applied Economics Letters, 19(9), 807-812. doi:10.1080/13504851.2011.605552 es_ES
dc.description.references Wang, Q., Hang, Y., Sun, L., & Zhao, Z. (2016). Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach. Technological Forecasting and Social Change, 112, 254-261. doi:10.1016/j.techfore.2016.04.019 es_ES
dc.description.references Wranik, D. (2011). Healthcare policy tools as determinants of health-system efficiency: evidence from the OECD. Health Economics, Policy and Law, 7(2), 197-226. doi:10.1017/s1744133111000211 es_ES
dc.description.references Xu, S., & Kesselheim, A. S. (2014). Medical Innovation Then and Now: Perspectives of Innovators Responsible for Transformative Drugs. Journal of Law, Medicine & Ethics, 42(4), 564-575. doi:10.1111/jlme.12176 es_ES
dc.description.references Yang, C.-W. (2014). Implementing hospital innovation in Taiwan: the perspectives of institutional theory and social capital. The International Journal of Health Planning and Management, 30(4), 403-425. doi:10.1002/hpm.2248 es_ES
dc.description.references Zhang, A., Zhang, Y., & Zhao, R. (2003). A study of the R&D efficiency and productivity of Chinese firms. Journal of Comparative Economics, 31(3), 444-464. doi:10.1016/s0147-5967(03)00055-6 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem