- -

Assessment of Sustainability Using a Synthetic Index

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Assessment of Sustainability Using a Synthetic Index

Mostrar el registro completo del ítem

Martí Selva, ML.; Puertas Medina, RM. (2020). Assessment of Sustainability Using a Synthetic Index. Environmental Impact Assessment Review. 84:1-12. https://doi.org/10.1016/j.eiar.2020.106375

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/168488

Ficheros en el ítem

Thumbnail
Nombre: Martí;Puertas - ...
Tamaño: 1.070Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir/Preview
[Cerrado]
Nombre: articulo publicado.pdf
Tamaño: 628.5Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor

Metadatos del ítem

Título: Assessment of Sustainability Using a Synthetic Index
Autor: Martí Selva, María Luisa Puertas Medina, Rosa María
Entidad UPV: Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
[EN] The Sustainable Society Index measures the three fundamental pillars of sustainability (the economy, the environment, and development) for154 countries around the world. It assigns the same weighting to all the ...[+]
Palabras clave: Sustainable society index , Cross-efficiency , Cluster analysis , Synthetic indices
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Environmental Impact Assessment Review. (issn: 0195-9255 )
DOI: 10.1016/j.eiar.2020.106375
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.eiar.2020.106375
Tipo: Artículo

References

Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review, 22(1), 89-97. doi:10.1016/s0272-7757(01)00068-1

Angulo-Meza, L., & Lins, M. P. E. (2002). Annals of Operations Research, 116(1/4), 225-242. doi:10.1023/a:1021340616758

Barron, F. H., & Barrett, B. E. (1996). Decision Quality Using Ranked Attribute Weights. Management Science, 42(11), 1515-1523. doi:10.1287/mnsc.42.11.1515 [+]
Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review, 22(1), 89-97. doi:10.1016/s0272-7757(01)00068-1

Angulo-Meza, L., & Lins, M. P. E. (2002). Annals of Operations Research, 116(1/4), 225-242. doi:10.1023/a:1021340616758

Barron, F. H., & Barrett, B. E. (1996). Decision Quality Using Ranked Attribute Weights. Management Science, 42(11), 1515-1523. doi:10.1287/mnsc.42.11.1515

Bluszcz, A. (2016). A Comparative Analysis of Selected Synthetic Indicators of Sustainability. Procedia - Social and Behavioral Sciences, 220, 40-50. doi:10.1016/j.sbspro.2016.05.467

Bracke, S., Radetzky, M., Rosebrock, C., & Ulutas, B. (2019). Efficiency and effectivity of high precision grinding manufacturing processes: An approach based on combined DEA and cluster analyses. Procedia CIRP, 79, 292-297. doi:10.1016/j.procir.2019.02.069

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

Doyle, J., & Green, R. (1994). Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses. Journal of the Operational Research Society, 45(5), 567-578. doi:10.1057/jors.1994.84

Falagario, M., Sciancalepore, F., Costantino, N., & Pietroforte, R. (2012). Using a DEA-cross efficiency approach in public procurement tenders. European Journal of Operational Research, 218(2), 523-529. doi:10.1016/j.ejor.2011.10.031

Gallego-Álvarez, I., Galindo-Villardón, M. P., & Rodríguez-Rosa, M. (2015). Evolution of sustainability indicator worldwide: A study from the economic perspective based on the X-STATICO method. Ecological Indicators, 58, 139-151. doi:10.1016/j.ecolind.2015.05.025

Hashimoto, A., & Ishikawa, H. (1993). Using DEA to evaluate the state of society as measured by multiple social indicators. Socio-Economic Planning Sciences, 27(4), 257-268. doi:10.1016/0038-0121(93)90019-f

Hashimoto, A., & Kodama, M. (1997). Social Indicators Research, 40(3), 359-373. doi:10.1023/a:1006804520184

Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24. doi:10.1016/j.ejor.2009.05.009

Hollingsworth, B. (2008). The measurement of efficiency and productivity of health care delivery. Health Economics, 17(10), 1107-1128. doi:10.1002/hec.1391

Jiang, Q., Liu, Z., Liu, W., Li, T., Cong, W., Zhang, H., & Shi, J. (2018). A principal component analysis based three-dimensional sustainability assessment model to evaluate corporate sustainable performance. Journal of Cleaner Production, 187, 625-637. doi:10.1016/j.jclepro.2018.03.255

Kaivo-oja, J., Panula-Ontto, J., Vehmas, J., & Luukkanen, J. (2013). Relationships of the dimensions of sustainability as measured by the sustainable society index framework. International Journal of Sustainable Development & World Ecology, 21(1), 39-45. doi:10.1080/13504509.2013.860056

King, M. F., Renó, V. F., & Novo, E. M. L. M. (2013). The Concept, Dimensions and Methods of Assessment of Human Well-Being within a Socioecological Context: A Literature Review. Social Indicators Research, 116(3), 681-698. doi:10.1007/s11205-013-0320-0

Kuiper, F. K., & Fisher, L. (1975). 391: A Monte Carlo Comparison of Six Clustering Procedures. Biometrics, 31(3), 777. doi:10.2307/2529565

Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2009). An overview of sustainability assessment methodologies. Ecological Indicators, 9(2), 189-212. doi:10.1016/j.ecolind.2008.05.011

Labuschagne, C., Brent, A. C., & van Erck, R. P. G. (2005). Assessing the sustainability performances of industries. Journal of Cleaner Production, 13(4), 373-385. doi:10.1016/j.jclepro.2003.10.007

Marques, R. C., da Cruz, N. F., & Pires, J. (2015). Measuring the sustainability of urban water services. Environmental Science & Policy, 54, 142-151. doi:10.1016/j.envsci.2015.07.003

Villarreal Marroquín, M. G., Sánchez Peña, M. L., Castro, C. E., Castro, J. M., & Cabrera-Ríos, M. (2008). Use of data envelopment analysis and clustering in multiple criteria optimization. Intelligent Data Analysis, 12(1), 89-101. doi:10.3233/ida-2008-12106

Martí, L., Martín, J. C., & Puertas, R. (2017). A Dea-Logistics Performance Index. Journal of Applied Economics, 20(1), 169-192. doi:10.1016/s1514-0326(17)30008-9

Martín, J. C., Mendoza, C., & Román, C. (2015). A DEA Travel–Tourism Competitiveness Index. Social Indicators Research, 130(3), 937-957. doi:10.1007/s11205-015-1211-3

Meimand, M., Cavana, R. Y., & Laking, R. (2002). Using DEA and survival analysis for measuring performance of branches in New Zealand’s Accident Compensation Corporation. Journal of the Operational Research Society, 53(3), 303-313. doi:10.1057/palgrave.jors.2601291

Melkonyan, T., & Safra, Z. (2016). Intrinsic Variability in Group and Individual Decision Making. Management Science, 62(9), 2651-2667. doi:10.1287/mnsc.2015.2255

Murias, P., Martinez, F., & De Miguel, C. (2006). An Economic Wellbeing Index for the Spanish Provinces: A Data Envelopment Analysis Approach. Social Indicators Research, 77(3), 395-417. doi:10.1007/s11205-005-2613-4

Phillips, J. (2015). A quantitative approach to determine and evaluate the indicated level and nature of global ecological sustainability. Area, 47(2), 197-210. doi:10.1111/area.12174

Phillis, Y. A., Kouikoglou, V. S., & Manousiouthakis, V. (2010). A Review of Sustainability Assessment Models as System of Systems. IEEE Systems Journal, 4(1), 15-25. doi:10.1109/jsyst.2009.2039734

Puertas, R., & Marti, L. (2019). Sustainability in Universities: DEA-GreenMetric. Sustainability, 11(14), 3766. doi:10.3390/su11143766

Samoilenko, S., & Osei-Bryson, K.-M. (2010). Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks. European Journal of Operational Research, 206(2), 479-487. doi:10.1016/j.ejor.2010.02.017

Scrase, J. I., & Sheate, W. R. (2002). Integration and integrated approaches to assessment: what do they mean for the environment? Journal of Environmental Policy & Planning, 4(4), 275-294. doi:10.1002/jepp.117

Shaker, R. R. (2015). The spatial distribution of development in Europe and its underlying sustainability correlations. Applied Geography, 63, 304-314. doi:10.1016/j.apgeog.2015.07.009

Shaker, R. R. (2018). A mega-index for the Americas and its underlying sustainable development correlations. Ecological Indicators, 89, 466-479. doi:10.1016/j.ecolind.2018.01.050

Sharma, M. J., & Yu, S. J. (2009). Performance based stratification and clustering for benchmarking of container terminals. Expert Systems with Applications, 36(3), 5016-5022. doi:10.1016/j.eswa.2008.06.010

Shin, H. W., & Sohn, S. Y. (2004). Multi-attribute scoring method for mobile telecommunication subscribers. Expert Systems with Applications, 26(3), 363-368. doi:10.1016/j.eswa.2003.09.013

Van de Kerk, G., & Manuel, A. R. (2008). A comprehensive index for a sustainable society: The SSI — the Sustainable Society Index. Ecological Economics, 66(2-3), 228-242. doi:10.1016/j.ecolecon.2008.01.029

Wątróbski, J., Ziemba, E., Karczmarczyk, A., & Jankowski, J. (2018). An Index to Measure the Sustainable Information Society: The Polish Households Case. Sustainability, 10(9), 3223. doi:10.3390/su10093223

Wu, S., Fu, Y., Shen, H., & Liu, F. (2018). Using ranked weights and Shannon entropy to modify regional sustainable society index. Sustainable Cities and Society, 41, 443-448. doi:10.1016/j.scs.2018.05.052

Zhu, J. (2001). Multidimensional quality-of-life measure with an application to Fortune’s best cities. Socio-Economic Planning Sciences, 35(4), 263-284. doi:10.1016/s0038-0121(01)00009-x

[-]

recommendations

 

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

Mostrar el registro completo del ítem