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Municipal Evaluation in Mexico: A Measurement of the Government Reputation

Author

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  • César Navarro-Chávez

    (Universidad Michoacana de San Nicolás de Hidalgo)

  • Odette V. Delfín-Ortega

    (Universidad Michoacana de San Nicolás de Hidalgo)

  • Joanna M. Moreno Manzo

    (Universidad Michoacana de San Nicolás de Hidalgo)

Abstract

The purpose of this paper is to provide a model to measure government reputation applicable to municipal governments. The methodology used was in a first step Analytical Hierarchy Process (Saaty’s Algorithm), based on the literature review, interviews, and focus groups in Mexico; in a second step, Partial Least Squares was used to examine the effect of¦ the independent variables and their dimensions on the dependent variable and to make predictions. Through an evaluation in a Mexican Local Government, Uruapan, Michoacán, and the use of PLS-SEM, the dependency relationship between government reputation and government performance, ethical commitment and government communication were verified, it should be stated that the leadership of the authorities was not statistically significant through PLS-SEM. The findings of the research provide practical guidelines for local governments and authorities to improve their reputation and strength investment, tourism and social values such as legitimacy, citizen’s participation, and social capital.

Suggested Citation

  • César Navarro-Chávez & Odette V. Delfín-Ortega & Joanna M. Moreno Manzo, 2022. "Municipal Evaluation in Mexico: A Measurement of the Government Reputation," Corporate Reputation Review, Palgrave Macmillan, vol. 25(2), pages 106-121, May.
  • Handle: RePEc:pal:crepre:v:25:y:2022:i:2:d:10.1057_s41299-021-00117-5
    DOI: 10.1057/s41299-021-00117-5
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    References listed on IDEAS

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    1. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    2. Monecke, Armin & Leisch, Friedrich, 2012. "semPLS: Structural Equation Modeling Using Partial Least Squares," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i03).
    3. Maria Teresa Balaguer-Coll & Maria Isabel Brun-Martos & Laura Márquez-Ramos & Diego Prior, 2019. "Local government efficiency: determinants and spatial interdependence," Applied Economics, Taylor & Francis Journals, vol. 51(14), pages 1478-1494, March.
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    1. Fatma Yiğit Açikgöz & Mehmet Kayakuş & Georgiana Moiceanu & Nesrin Sönmez, 2024. "A New Approach to Assess Sustainable Corporate Reputation with Citizen Comments Using Machine Learning and Natural Language Processing," Sustainability, MDPI, vol. 16(22), pages 1-19, November.

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