Skip to main navigation menu Skip to main content Skip to site footer

Vol. 20 No. 2 (2020)
Inquietud Empresarial 20(2) Julio–Diciembre 2020

MANAGEMENT, PRODUCTION AND SERVICE

Multiple criteria hierarchy approach for analyzing competitiveness of States in Mexico

https://doi.org/10.19053/01211048.11408

Published 2020-12-01

  • Pavel Alvarez
    • ,
  • Manuel Muñoz-Palma
    • ,
  • Luz Eva Miranda-Espinoza
    • ,
  • Pavel Lopez-Parra
    • ,
  • Ernesto León-Castro

Pavel Alvarez
Department of economic and management sciences, Universidad Autómoma de Occidente, Lola Beltrán, 80020, Culiacán, Mexico, pavel.alvarez@uadeo.mx

Manuel Muñoz-Palma
Management department, Universidad de Sonora, Luis Encinas, 83000 Hermosillo, Mexico

Luz Eva Miranda-Espinoza
Universidad Autónoma de Occidente, Lola Beltrán, Culiacán, Mexico

Pavel Lopez-Parra
Department of economic and management sciences, Universidad Autómoma de Occidente, Lola Beltrán, 80020, Culiacán, Mexico

Ernesto León-Castro
Faculty of Economics and Administrative Sciences, Universidad Católica de la Santísima Concepción, Av. Alonso de Ribera 2850, Concepción Chile.

Abstract

Competitiveness is related to welfare, economic progress and prosperity and has been an important topic for countries, enterprises, investors and citizens alike. This paper presents a new Multiple Criteria Hierarchy Process (MCHP) for rank the competitiveness of States in Mexico through the analysis of multiple criteria such as legality, economic, social, politic, governmental and environmental, precursors and international relations aspects. An important aspect of the new MCHP proposed is that considers the interaction between criteria and measure the performance of a large number of criteria. The study presents a competitiveness analysis of Mexican regions, regarding the interaction in different level of criteria hierarchy and evaluating the performance of 100 criteria to establish the competitiveness level of States in Mexico.

Keywords: Multicriteria, hierarchy approach, competitiveness

JEL Codes: C69, C81, D81

Received: 10/07/2020. Accepted: 05/11/2020.  Published: 01/12/2020

Keywords

Competitiveness, multicriteria hierarchy process, competitiveness

PDF

References

  • Angilella, S., Catalfo, P., Corrente, S., Giarlotta, A., Greco, S., & Rizzo, M. (2018). Robust sustainable development assessment with composite indices aggregating interacting dimensions: The hierarchical-SMAA-Choquet integral approach. Knowledge-Based Systems, 158, 136-153. doi:10.1016/j.knosys.2018.05.041 DOI: https://doi.org/10.1016/j.knosys.2018.05.041
  • Botti, L., & Peypoch, N. (2013). Multi-criteria ELECTRE method and destination competitiveness. Tourism Management Perspectives, 6, 108-113. doi:10.1016/j.tmp.2013.01.001 DOI: https://doi.org/10.1016/j.tmp.2013.01.001
  • Blanco-Mesa F., Gil-Lafuente, A.M. (2014). Characterization and Grouping of the Colombia Regions to Develop of Clusters: An Application of Pichat Algorithm. Journal of Computational Optimization in Economics and Finances 5 (3), 187-196.
  • Blanco-Mesa F., Gil-Lafuente A.M. (2017). Towards competitiveness in the economic activity in Colombia: Using Moore's families and Galois Lattices in clustering. Economic Computation and Economic Cybernetics Studies and Research 51 (3), 231-250.
  • Blanco-Mesa F., Merigó, J.M, Gil-Lafuente, A.M. (2017). Fuzzy decision making: A bibliometric-based review. Journal of Intelligent & Fuzzy Systems 32 (3), 2033-2050 DOI: https://doi.org/10.3233/JIFS-161640
  • Carayannis, E. G., Ferreira, F. A. F., Bento, P., Ferreira, J. J. M., Jalali, M. S., & Fernandes, B. M. Q. (2018). Developing a socio-technical evaluation index for tourist destination competitiveness using cognitive mapping and MCDA. Technological Forecasting and Social Change, 131, 147-158. doi:10.1016/j.techfore.2018.01.015 DOI: https://doi.org/10.1016/j.techfore.2018.01.015
  • Charles, V., & Zegarra, L. F. (2014). Measuring regional competitiveness through Data Envelopment Analysis: A Peruvian case. Expert Systems with Applications, 41(11), 5371-5381. doi:10.1016/j.eswa.2014.03.003 DOI: https://doi.org/10.1016/j.eswa.2014.03.003
  • Corrente, S., Doumpos, M., Greco, S., Slowinski, R., & Zopounidis, C. (2017). Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions. Annals of Operations Research, 251(1-2), 117-139. doi:10.1007/s10479-015-1898-1 DOI: https://doi.org/10.1007/s10479-015-1898-1
  • Corrente, S., Figueira, J. R., Greco, S., & Słowiński, R. (2017). A robust ranking method extending ELECTRE III to hierarchy of interacting criteria, imprecise weights and stochastic analysis. Omega, 73, 1-17. doi:10.1016/j.omega.2016.11.008 DOI: https://doi.org/10.1016/j.omega.2016.11.008
  • Corrente, S., Greco, S., & Słowiński, R. (2012). Multiple Criteria Hierarchy Process in Robust Ordinal Regression. Decision Support Systems, 53(3), 660-674. doi:10.1016/j.dss.2012.03.004 DOI: https://doi.org/10.1016/j.dss.2012.03.004
  • Delgado, M., Porter, M., and Stern, S. (2010). Clusters and entrepreneurship. Journal of Economic Geography, 10(4), 495-518. DOI: https://doi.org/10.1093/jeg/lbq010
  • Delgado, M., Porter, M., and Stern, S. (2014). Clusters, Convergence, and Economic Performance, Research Policy, 43(10), 1785-1799. DOI: https://doi.org/10.1016/j.respol.2014.05.007
  • Del Vasto-Terrientes, L., Valls, A., Slowinski, R., & Zielniewicz, P. (2015). ELECTRE-III-H: An outranking-based decision aiding method for hierarchically structured criteria. Expert Systems with Applications, 42(11), 4910-4926. doi:10.1016/j.eswa.2015.02.016 DOI: https://doi.org/10.1016/j.eswa.2015.02.016
  • Ginevičius, R., & Podvezko, V. (2009). Evaluating the Changes in Economic and Social Development of Lithuanian Counties by Multiple Criteria Methods. Technological and Economic Development of Economy, 15(3), 418-436. doi:10.3846/1392-8619.2009.15.418-436 DOI: https://doi.org/10.3846/1392-8619.2009.15.418-436
  • Goncalves, J. M., Ferreira, F. A. F., Ferreira, J. J. M., & Farinha, L. M. C. (2019). A multiple criteria group decision-making approach for the assessment of small and medium-sized enterprise competitiveness. Management Decision, 57(2), 480-500. doi:10.1108/md-02-2018-0203 DOI: https://doi.org/10.1108/MD-02-2018-0203
  • Hernández Rodriguez, C., & Montalvo Corzo, R. F. (2012). Entrepreneurial clusters in China and Mexico –implications for Competitiveness. Revista de globalización, competitividad y gobernabilidad, 6(1), 55-90. doi:10.3232/GCG.2012.V6.N1.04 DOI: https://doi.org/10.3232/GCG.2012.V6.N1.04
  • Huang, J. H., & Peng, K. H. (2012). Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries. Tourism Management, 33(2), 456-465. doi:10.1016/j.tourman.2011.05.006 DOI: https://doi.org/10.1016/j.tourman.2011.05.006
  • Huang, K. W., Huang, J. H., & Tzeng, G. H. (2016). New Hybrid Multiple Attribute Decision-Making Model for Improving Competence Sets: Enhancing a Company's Core Competitiveness. Sustainability, 8(2). doi:10.3390/su8020175 DOI: https://doi.org/10.3390/su8020175
  • IMCO. (2016a). Índice de Competitividad Estatal 2014. México: Impresos Villaflorito S.A. de C.V.
  • IMCO. (2016b). Instituto Mexicano para la Competitividad. Retrieved from https://imco.org.mx/
  • Kabir, G., Sadiq, R., & Tesfamariam, S. (2013). A review of multi-criteria decision-making methods for infrastructure management. Structure and Infrastructure Engineering, 10(9), 1176-1210. doi:10.1080/15732479.2013.795978 DOI: https://doi.org/10.1080/15732479.2013.795978
  • Kao, C., Wu, W.-Y., Hsieh, W.-J., Wang, T.-Y., Lin, C., & Chen, L.-H. (2008). Measuring the national competitiveness of Southeast Asian countries. European Journal of Operational Research, 187(2), 613-628. doi:10.1016/j.ejor.2007.03.029 DOI: https://doi.org/10.1016/j.ejor.2007.03.029
  • Ketels, C. (2003). The Development of the cluster concept - present experiences and further developments. In NRW Conference on Clusters (pp. 1-25). Duisburg
  • Ketels, C. (2013). Recent research on competitiveness and clusters: what are the implications for regional policy? Cambridge Journal of Regions, Economy and Society, 6(2), 269-284 DOI: https://doi.org/10.1093/cjres/rst008
  • Khayyat, N., & Lee, J. (2014). A measure of technological capabilities for developing countries. Technological Forecasting and Social Change, 9, 210-223. DOI: https://doi.org/10.1016/j.techfore.2014.09.003
  • Ko, Y. C., Fujita, H., & Tzeng, G. H. (2013). A fuzzy integral fusion approach in analyzing competitiveness patterns from WCY2010. Knowledge-Based Systems, 49, 1-9. doi:10.1016/j.knosys.2013.04.001 DOI: https://doi.org/10.1016/j.knosys.2013.04.001
  • Krugman, P. (1994). Competitiveness: A Dangerous Obsession. Foreign Affairs, 73(2), 28. doi:10.2307/20045917 DOI: https://doi.org/10.2307/20045917
  • Krugman, P., Obstfeld, M., & Melitz, M. (2012). International Economics, Theory and Policy. Boston: Pearson.
  • Lee, S. K., Mogi, G., Kim, J. W., & Gim, B. J. (2008). A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector. International Journal of Hydrogen Energy, 33(23), 6840-6848. doi:10.1016/j.ijhydene.2008.09.028 DOI: https://doi.org/10.1016/j.ijhydene.2008.09.028
  • Marzouk, M. M. (2011). ELECTRE III model for value engineering applications. Automation in Construction, 20(5), 596-600. doi:10.1016/j.autcon.2010.11.026 DOI: https://doi.org/10.1016/j.autcon.2010.11.026
  • Oyarce, J. (2013). Excelencia empresarial y competitividad: ¿una relación fructífera? Panorama Socioeconómico, 31(46), 58-63.
  • Porter, M. (1990). The competitive advantage of nations. Harvard Business Review, 70-91. DOI: https://doi.org/10.1007/978-1-349-11336-1
  • Porter, M. (1998). Clusters and the New Economics of Competition. Harvard Business Review, 76(6), 77-90.
  • Porter, M. (2000). Location, Competition, and Economic Development: Local Clusters in a Global Economy. Economic Development Quarterly, 14(1), 15-34. DOI: https://doi.org/10.1177/089124240001400105
  • Porter, M. (2003). The Economic Performance of Regions. Regional Studies, 37(6-7), 545-546. DOI: https://doi.org/10.1080/0034340032000108688
  • Roy, B. (1985). Méthodologie multicritère d'aide à la décision. Paris, France: Economica.
  • Roy, B. (1990). The Outranking Approach and the Foundations of ELECTRE Methods. In C. A. Bana e Costa (Ed.), Reading in Multiple Criteria Decision Aid (pp. 155-183). Berlin: Springer-Verlag. DOI: https://doi.org/10.1007/978-3-642-75935-2_8
  • Santiesteban, M. L., & Lopez, J. C. L. (2017). A multicriteria decision aid for evaluating the competitiveness of tourist destinations in the northwest of Mexico. Anuario Turismo Y Sociedad, 21, 51-67. doi:10.18601/01207555.n21.03 DOI: https://doi.org/10.18601/01207555.n21.03
  • Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations (Vol. 1). Oxford: Oxford University Press. DOI: https://doi.org/10.1093/oseo/instance.00043218
  • Suñol, S. (2006). Aspectos teóricos de la competitividad. Ciencia y Sociedad, 31(2), 178-198. DOI: https://doi.org/10.22206/cys.2006.v31i2.pp179-198
  • WEF. (2016). World Economic Forum. Retrieved from https://es.weforum.org/agenda/2016/10/
  • Yeo, G. T., Song, D. W., Dinwoodie, J., & Roe, M. (2010). Weighting the competitiveness factors for container ports under conflicting interests. Journal of the Operational Research Society, 61(8), 1249-1257. doi:10.1057/jors.2009.88 DOI: https://doi.org/10.1057/jors.2009.88
  • Yeo, G. T., Wang, Y., & Chou, C. C. (2013). Evaluating the competitiveness of the aerotropolises in East Asia. Journal of Air Transport Management, 32, 24-31. doi:10.1016/j.jairtraman.2013.06.004 DOI: https://doi.org/10.1016/j.jairtraman.2013.06.004
  • Zangoueinezhad, A., Azar, A., & Kazazi, A. (2011). Using SCOR model with fuzzy MCDM approach to assess competitiveness positioning of supply chains: focus on shipbuilding supply chains. Maritime Policy & Management, 38(1), 93-109. doi:10.1080/03088839.2010.533715 DOI: https://doi.org/10.1080/03088839.2010.533715
  • Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy - A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443-451. doi:10.1016/j.tourman.2010.02.007 DOI: https://doi.org/10.1016/j.tourman.2010.02.007

Downloads

Download data is not yet available.