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Spatial spillovers in public expenditure on a municipal level in Spain

Author

Listed:
  • Fernando A. López

    (Universidad Politécnica de Cartagena)

  • Pedro J. Martínez-Ortiz

    (Universidad Politécnica de Cartagena)

  • Juan-Gabriel Cegarra-Navarro

    (Universidad Politécnica de Cartagena)

Abstract

A key function of local governments is to provide a wide array of public services. The supply of these services has been found to create spatial spillovers among neighbouring municipalities. Although it is generally agreed that spillovers are present in models that explain government expenditures, their type—whether endogenous, exogenous or residual—and sign—whether positive or negative—remain ambiguous. In most cases, a subjective process is used to select the type of spatial regression model used in analysis, with mixed results. Per capita expenditures of ten subprogrammes (Security, Housing, Welfare, Environment, Social services, Employment promotion, Health, Education, Culture and Sport) are analysed for all Spanish municipalities with more than 5000 inhabitants in the 2010–2012 period. A Spatial Seemingly Unrelated Regression methodology in a panel framework is used to incorporate correlation between different subprogrammes and spatial dependence. Our results show that the three types of spatial effects are present. Furthermore, substantive dependence is positive in most cases, while negative residual dependence is observed in some.

Suggested Citation

  • Fernando A. López & Pedro J. Martínez-Ortiz & Juan-Gabriel Cegarra-Navarro, 2017. "Spatial spillovers in public expenditure on a municipal level in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 39-65, January.
  • Handle: RePEc:spr:anresc:v:58:y:2017:i:1:d:10.1007_s00168-016-0780-7
    DOI: 10.1007/s00168-016-0780-7
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    2. Vincenzo Bove & Leandro Elia & Massimiliano Ferraresi, 2023. "Immigration, Fear of Crime, and Public Spending on Security," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 39(1), pages 235-280.
    3. Kalamov, Zarko & Staal, Klaas, 2023. "Too-big-to-fail in federations?," Regional Science and Urban Economics, Elsevier, vol. 101(C).
    4. Magdalena Karska & Andrzej Torój, 2018. "Strategiczne interakcje przestrzenne między decyzjami wydatkowymi gmin w Polsce w latach 2008–2014," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 53, pages 29-46.
    5. Fernando A. López & Román Mínguez & Jesús Mur, 2020. "ML versus IV estimates of spatial SUR models: evidence from the case of Airbnb in Madrid urban area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 313-347, April.
    6. Rosella Levaggi & Paolo M. Panteghini, 2021. "Public expenditure spillovers: an explanation for heterogeneous tax reaction functions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 28(3), pages 497-514, June.
    7. Anastasios Kitsos & Antonios Proestakis, 2021. "Mediating distributive politics: political alignment and electoral business cycle effects on municipality financing in Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 1-26, August.
    8. Tang, Peng & Shi, Xiaoping & Gao, Jinlong & Feng, Shuyi & Qu, Futian, 2019. "Demystifying the key for intoxicating land finance in China: An empirical study through the lens of government expenditure," Land Use Policy, Elsevier, vol. 85(C), pages 302-309.
    9. Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
    10. Pan, Xiongfeng & Xu, Haitao & Li, Mengna & Zong, Tianjiao & Lee, Chew Tin & Lu, Yuduo, 2020. "Environmental expenditure spillovers: Evidence from an estimated multi-area DSGE model," Energy Economics, Elsevier, vol. 86(C).
    11. Fusco, Elisa & Allegrini, Veronica, 2020. "The role of spatial interdependence in local government cost efficiency: An application to waste Italian sector," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    12. Hao-Chen Huang & Chin-Fu Hung & Chi-Lu Peng & Ting-Hsiu Liao, 2022. "Business Income Tax from Profit-Seeking Enterprises and Spatial Autocorrelation: Do Local Economic Characteristics Matter?," Land, MDPI, vol. 11(9), pages 1-18, September.
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    More about this item

    Keywords

    C21; C50; H72;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

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