IDEAS home Printed from https://ideas.repec.org/a/sgh/annals/i47y2017p113-128.html
   My bibliography  Save this article

Kumulatywny vs. panelowy model przestrzenny w modelowaniu inwestycji lokalnych polskich gmin w latach 1995–2015

Author

Listed:
  • Katarzyna Kopczewska

    (Uniwersytet Warszawski)

Abstract

W pracy badana jest efektywność inwestycji samorządowych w gminach w latach 1995–2015. Celem jest zbadanie zależności pomiędzy dochodami własnymi a wydatkami inwestycyjnymi samorządów oraz uwarunkowań fiskalnych i pozafiskalnych dla lokalnych inwestycji. Badane jest także nasycenie inwestycjami oraz lokalne mnożniki dochodowe (długo- i krótkoterminowe oraz krańcowe). Analizowana jest przestrzenna dyfuzja oraz istnienie klastrów inwestycji. Modelowanie ekonometryczne oparte zostało na panelowym modelu przestrzennym i skumulowanym modelu przestrzennym. Specyfikacja modelu opiera się na koncepcji Net Present Value (NPV), która pozwala na traktowanie inwestycji wieloletnich i dochodów budżetowych jak Cash Flow projektu. Interpretacja modelu z opóźnieniem przestrzennym zmiennej objaśnianej oraz komponentem Durbina (opóźnienie przestrzenne zmiennych objaśniających) jest oparta na efektach pośrednich i bezpośrednich. Różne wykorzystane macierze wag przestrzennych, w tym macierz wspólnej granicy i macierz odwrotnej odległości, umożliwiają lepszą ocenę zakresu rozproszenia przestrzennego procesu inwestycyjnego.

Suggested Citation

  • Katarzyna Kopczewska, 2017. "Kumulatywny vs. panelowy model przestrzenny w modelowaniu inwestycji lokalnych polskich gmin w latach 1995–2015," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 113-128.
    • Handle: RePEc:sgh:annals:i:47:y:2017:p:113-128
    as

    Download full text from publisher

    File URL: http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z47_07.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katarzyna Kopczewska, 2016. "Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 413-431, October.
    2. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    3. Vicente Rios & Pedro Pascual & Fermín Cabases, 2017. "What drives local government spending in Spain? A dynamic spatial panel approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 230-250, July.
    4. James P. LeSage & R. Kelley Pace, 2014. "The Biggest Myth in Spatial Econometrics," Econometrics, MDPI, vol. 2(4), pages 1-33, December.
    5. Geys, Benny, 2006. "Looking across borders: A test of spatial policy interdependence using local government efficiency ratings," Journal of Urban Economics, Elsevier, vol. 60(3), pages 443-462, November.
    6. Pellervo Hämäläinen & Tuomas Malinen, 2011. "The relationship between regional value-added and public capital in Finland: what do the new panel econometric techniques tell us?," Empirical Economics, Springer, vol. 40(1), pages 237-252, February.
    7. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    8. Fleming, David A. & Measham, Thomas G., 2014. "Local job multipliers of mining," Resources Policy, Elsevier, vol. 41(C), pages 9-15.
    9. Marusca de Castris & Guido Pellegrini, 2012. "Evaluation of Spatial Effects of Capital Subsidies in the South of Italy," Regional Studies, Taylor & Francis Journals, vol. 46(4), pages 525-538, June.
    10. Fujii, Takao & Hiraga, Kazuki & Kozuka, Masafumi, 2013. "Effects of public investment on sectoral private investment: A factor augmented VAR approach," Journal of the Japanese and International Economies, Elsevier, vol. 27(C), pages 35-47.
    11. Sole-Olle, Albert, 2006. "Expenditure spillovers and fiscal interactions: Empirical evidence from local governments in Spain," Journal of Urban Economics, Elsevier, vol. 59(1), pages 32-53, January.
    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. Katarzyna Kopczewska, 2016. "Efficiency of Regional Public Investment: An NPV-Based Spatial Econometric Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 413-431, October.
    2. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    3. Mustafa Koroglu & Yiguo Sun, 2016. "Functional-Coefficient Spatial Durbin Models with Nonparametric Spatial Weights: An Application to Economic Growth," Econometrics, MDPI, vol. 4(1), pages 1-16, February.
    4. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    5. Funashima, Yoshito & Ohtsuka, Yoshihiro, 2019. "Spatial crowding-out and crowding-in effects of government spending on the private sector in Japan," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 35-48.
    6. Piotr Ciżkowicz & Magda Ciżkowicz-Pękała & Piotr Pękała & Andrzej Rzońca, 2017. "The effects of special economic zones on employment and investment: a spatial panel modeling perspective," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 571-605.
    7. Calkins, Lindsay N. & Ryan, Alexander J. & Zlatoper, Thomas J., 2023. "The Political Economy of Recreational Marijuana Laws in the U.S.: A Spatial Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 53(1), April.
    8. Chiara Dalle Nogare & Matteo Galizzi, 2011. "The political economy of cultural spending: evidence from Italian cities," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(3), pages 203-231, August.
    9. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.
    10. Borck, Rainald & Fossen, Frank M. & Freier, Ronny & Martin, Thorsten, 2015. "Race to the debt trap? — Spatial econometric evidence on debt in German municipalities," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 20-37.
    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. Geys, Benny & Vermeir, Jan, 2008. "Party cues and yardstick voting," European Journal of Political Economy, Elsevier, vol. 24(2), pages 470-477, June.
    13. William Cochrane & Jacques Poot, 2020. "Did the post-1986 decline in the homeownership rate benefit the New Zealand labour market? A spatial-econometric exploration," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 261-284, February.
    14. Celbis, M.G. & Crombrugghe, D. de & Muysken, J., 2014. "Public investment and regional politics: The case of Turkey," MERIT Working Papers 2014-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    15. Mounisai Siddartha Middela & Gitakrishnan Ramadurai, 2021. "Incorporating spatial interactions in zero-inflated negative binomial models for freight trip generation," Transportation, Springer, vol. 48(5), pages 2335-2356, October.
    16. Amir B. Ferreira Neto, 2021. "The diffusion of cultural district laws across US States," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 189-210, August.
    17. Doris Läpple & Garth Holloway & Donald J Lacombe & Cathal O’Donoghue, 2017. "Sustainable technology adoption: a spatial analysis of the Irish Dairy Sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 810-835.
    18. Amir Borges Ferreira Neto, 2023. "Do public libraries impact local labour markets? Evidence from Appalachia," Spatial Economic Analysis, Taylor & Francis Journals, vol. 18(2), pages 216-238, April.
    19. Fernando Bruna, 2015. "Why do empirical tests tend to accept the NEG? An alternative approach to the 'wage equation' in European regions," Working Papers 15-11, Asociación Española de Economía y Finanzas Internacionales.
    20. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.

    More about this item

    Keywords

    efektywność inwestycyjna; lokalne inwestycje samorządowe; ekonometria przestrzenna; skumulowany model ekonometryczny;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

    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:sgh:annals:i:47:y:2017:p:113-128. 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: Michał Bernardelli (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.html .

    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.