IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i4p2000-d746350.html

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, January.
    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.
    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. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Karen Miranda & Oscar Martínez Ibáñez & Miguel Manjón Antolín, 2015. "Estimating Individual Effects and their Spatial Spillovers in Linear Panel Data Models," Post-Print hal-01430809, HAL.
    10. Tsung Huang & Tsun-Feng Chiang & Jiun-Nan Pan, 2015. "Fertility and Crime: Evidence from Spatial Analysis of Taiwan," Journal of Family and Economic Issues, Springer, vol. 36(3), pages 319-327, September.
    11. Salvatore Dell’Erba & Emanuele Baldacci & Tigran Poghosyan, 2013. "Spatial spillovers in emerging market spreads," Empirical Economics, Springer, vol. 45(2), pages 735-756, October.
    12. Marko Ogorevc & Sonja Slander, 2011. "Shareholders and wage determination - bringing in "space"," ERSA conference papers ersa10p1279, European Regional Science Association.
    13. Xin Wu & Peng Cui, 2016. "A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China," Sustainability, MDPI, vol. 8(11), pages 1-17, October.
    14. Rene Westerholt & Enrico Steiger & Bernd Resch & Alexander Zipf, 2016. "Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-31, September.
    15. Liubov Antosik & Natalya Ivashina, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.
    16. Kaixing Huang, 2015. "The Economic Impacts of Global Warming on Agriculture: the Role of Adaptation," School of Economics and Public Policy Working Papers 2015-20, University of Adelaide, School of Economics and Public Policy.
    17. Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    18. Zhonglei Yu & Lei Liu & Hua Zhang & Jinshe Liang, 2017. "Exploring the Factors Driving Seasonal Farmland Abandonment: A Case Study at the Regional Level in Hunan Province, Central China," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    19. Carla Shoff & Tse-Chuan Yang, 2012. "Spatially varying predictors of teenage birth rates among counties in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(14), pages 377-418.
    20. Law, Teik Hua & Hamid, Hussain & Goh, Chia Ning, 2015. "The motorcycle to passenger car ownership ratio and economic growth: A cross-country analysis," Journal of Transport Geography, Elsevier, vol. 46(C), pages 122-128.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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.