IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i4p2000-d746350.html
   My bibliography  Save this article

Spatial Analysis of the Empirical Behavior of Municipal Institutional Capacity for the Formulation of Sustainable Growth Management Strategies with a Regional Focus: State of Veracruz, Mexico

Author

Listed:
  • Isabel Lagunes-Gómez

    (Sustainable Regional Development, El Colegio de Veracruz, Xalapa-Enríquez 91000, Mexico)

  • María Graciela Hernández-Orduña

    (Sustainable Regional Development, El Colegio de Veracruz, Xalapa-Enríquez 91000, Mexico)

  • Rene Murrieta-Galindo

    (Sustainable Regional Development, El Colegio de Veracruz, Xalapa-Enríquez 91000, Mexico)

  • Daniel Hernández-Pitalua

    (Sustainable Regional Development, El Colegio de Veracruz, Xalapa-Enríquez 91000, Mexico)

  • Darwin Mayorga-Cruz

    (Consejo Veracruzano de Investigación Científica y Desarrollo Tecnológico, Xalapa-Enríquez 91069, Mexico)

Abstract

As a governmental function, development for progress and welfare is a highly complex process that involves updating various attributes (such as a paradigm, critical or alternative, depending on of the way in which they are articulated regarding social aspects, environmental, and economic growth, as well as the institutional capacity of public and private actors). Regarding this, we are interested in the municipal institutional capacity (MIC) as a skill to carry out the functions and appropriate tasks that municipalities must fulfill in an effective, efficient, and sustainable way, and it varies considerably, depending on each local context. In order to analyze the relevance of the current official regionalization as a state government strategy for the centralized construction of MIC, an exploratory approach to its spatial behavior in the State of Veracruz, Mexico, was carried out. Given the nature of the study, a purely mixed approach, sequential exploratory design, subnational analysis methodology, and exploratory spatial data analysis (ESDA) were employed. The variable to be analyzed is the 2016 Municipal Functional Capacities Index (Índice de Capacidades Funcionales Municipales (ICFM)), with the Geostatistics Framework cartographic base of the 2020 Population and Housing Census. The analysis units are 212 municipalities in the 2014–2017 government period. As a result, it was confirmed that the current regionalization was irrelevant, owing to the absence of global spatial autocorrelation, and it was concluded that targeted interventions are necessary according to regional modeling techniques, based on scientific evidence.

Suggested Citation

  • Isabel Lagunes-Gómez & María Graciela Hernández-Orduña & Rene Murrieta-Galindo & Daniel Hernández-Pitalua & Darwin Mayorga-Cruz, 2022. "Spatial Analysis of the Empirical Behavior of Municipal Institutional Capacity for the Formulation of Sustainable Growth Management Strategies with a Regional Focus: State of Veracruz, Mexico," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2000-:d:746350
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/4/2000/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/4/2000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, December.
    2. Ingrid Acevedo Bohórquez & Ermilson Velásquez Ceballos, 2008. "Algunos conceptos de la econometría espacial y el análisis exploratorio de datos espaciales," Revista Ecos de Economía, Universidad EAFIT, September.
    3. repec:bla:devpol:v:25:y:2007:i:5:p:533-574 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chocholatá Michaela & Furková Andrea, 2017. "Regional Disparities in Education Attainment Level in the European Union: A Spatial Approach," TalTech Journal of European Studies, Sciendo, vol. 7(2), pages 107-131, October.
    2. Motoyama, Yasuyuki & Cao, Cong & Appelbaum, Richard, 2014. "Observing regional divergence of Chinese nanotechnology centers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 11-21.
    3. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    4. Chih-Hao Wang & Na Chen, 2021. "A multi-objective optimization approach to balancing economic efficiency and equity in accessibility to multi-use paths," Transportation, Springer, vol. 48(4), pages 1967-1986, August.
    5. Padovano, Fabio & Petrarca, Ilaria, 2014. "Are the responsibility and yardstick competition hypotheses mutually consistent?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 459-477.
    6. Atems, Bebonchu, 2013. "The spatial dynamics of growth and inequality: Evidence using U.S. county-level data," Economics Letters, Elsevier, vol. 118(1), pages 19-22.
    7. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
    8. Manfred M. Fischer & Nico Pintar & Benedikt Sargant, 2016. "Austrian Outbound Foreign Direct Investment in Europe:A spatial econometric study," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 10(1), pages 1-22, JUNE.
    9. Manfred Fischer, 2011. "A spatial Mankiw–Romer–Weil model: theory and evidence," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 419-436, October.
    10. Huang, Kaixing & Yan, Wenshou & Huang, Jikun, 2020. "Agricultural subsidies retard urbanisation in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(04), January.
    11. Samantha Leorato & Maura Mezzetti, 2015. "Spatial Panel Data Model with error dependence: a Bayesian Separable Covariance Approach," CEIS Research Paper 338, Tor Vergata University, CEIS, revised 09 Apr 2015.
    12. Mohl, Philipp & Hagen, Tobias, 2011. "Do EU structural funds promote regional employment? Evidence from dynamic panel data models," Working Paper Series 1403, European Central Bank.
    13. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    14. Cristina LINCARU & Vasilica CIUCA & Draga ATANASIU, 2015. "THE TENDENCY IDENTIFICATION OF OVERALL CLUSTERING OF REGISTERED UNEMPLOYMENT AT TERRITORIAL ADMINISTRATIVE UNIT LEVEL - UAT2 IN ROMANIA (International Conference “EUROPEAN PERSPECTIVE OF LABOR MARKET ," Institute for Economic Forecasting Conference Proceedings 141104, Institute for Economic Forecasting.
    15. Zhonghua Huang & Xuejun Du, 2017. "Strategic interaction in local governments’ industrial land supply: Evidence from China," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1328-1346, May.
    16. Sergio J. Rey, 2018. "Bells in Space," International Regional Science Review, , vol. 41(2), pages 152-182, March.
    17. Wong, Linda & van Kooten, G. Cornelis & Clarke, Judith A., 2012. "The Impact of Agriculture on Waterfowl Abundance: Evidence from Panel Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-14, August.
    18. Nivedita Mukherji & Jonathan Silberman, 2021. "Knowledge flows between universities and industry: the impact of distance, technological compatibility, and the ability to diffuse knowledge," The Journal of Technology Transfer, Springer, vol. 46(1), pages 223-257, February.
    19. Alexandra SCHAFFAR, 2012. "La Loi De Zipf Sous Le Prisme De L’Auto-Correlation Spatiale - Les Cas De La Chine Et De L’Inde," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 189-204.
    20. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2000-:d:746350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.