IDEAS home Printed from https://ideas.repec.org/a/sgh/annals/i26y2012p87-99.html

Przestrzenny model panelowy efektów zewnętrznych klastrów przemysłowych w Polsce

Author

Listed:
  • Dorota Ciołek

    (Uniwersytet Gdański)

  • Tomasz Brodzicki

    (Uniwersytet Gdański)

Abstract

No abstract is available for this item.

Suggested Citation

  • Dorota Ciołek & Tomasz Brodzicki, 2012. "Przestrzenny model panelowy efektów zewnętrznych klastrów przemysłowych w Polsce," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 26, pages 87-99.
  • Handle: RePEc:sgh:annals:i:26:y:2012:p:87-99
    as

    Download full text from publisher

    File URL: http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z26_06.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:nbp:nbpbik:v:47:y:2016:i:6:p:463-494 is not listed on IDEAS
    2. Dorota Ciołek, 2016. "Rozwój gospodarczy polskich powiatów w kontekście implikacji nowej geografii ekonomicznej," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 41, pages 221-238.
    3. Dorota Ciołek & Tomasz Brodzicki, 2016. "Determinanty produktywności polskich powiatów," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 463-494.

    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. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    2. Frank Davenport, 2017. "Estimating standard errors in spatial panel models with time varying spatial correlation," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 155-177, March.
    3. Sergio J. Rey & Elizabeth A. Mack & Julia Koschinsky, 2012. "Exploratory Space–Time Analysis of Burglary Patterns," Journal of Quantitative Criminology, Springer, vol. 28(3), pages 509-531, September.
    4. Kano, Shigeki & Ohta, Makoto, 2005. "Estimating a matching function and regional matching efficiencies: Japanese panel data for 1973-1999," Japan and the World Economy, Elsevier, vol. 17(1), pages 25-41, January.
    5. Harry O'Rahilly & Patrick Paul Walsh, 2024. "Market Power and Structure in the Retail Motor Fuel Market," Working Papers 202404, Geary Institute, University College Dublin.
    6. Gloria Alarc n-Garc a & Jos Daniel Buend a Azor n & Mar a del Mar S nchez de la Vega, 2020. "Shadow economy and national culture: A spatial approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 53-74, March.
    7. Francesco Andreoli & Alessandra Michelangeli, 2014. "Welfare Measures to Assess Urban Quality of Life," Working Papers 278, University of Milano-Bicocca, Department of Economics, revised Jun 2014.
    8. Hui Zhang & Haiqian Ke, 2022. "Spatial Spillover Effects of Directed Technical Change on Urban Carbon Intensity, Based on 283 Cities in China from 2008 to 2019," IJERPH, MDPI, vol. 19(3), pages 1-19, February.
    9. Semaan, Salaam & Sternberg, Maya & Zaidi, Akbar & Aral, Sevgi O., 2007. "Social capital and rates of gonorrhea and syphilis in the United States: Spatial regression analyses of state-level associations," Social Science & Medicine, Elsevier, vol. 64(11), pages 2324-2341, June.
    10. François Facchini & Suban Subandono, 2017. "Institutions, entrepreneurship, and regional growth in Indonesia (1994-2010)," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01745421, HAL.
    11. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    12. Elhorst, J. Paul & Blien, Uwe & Wolf, Katja, 2002. "A spatial panel approach to the east German wage curve," ERSA conference papers ersa02p444, European Regional Science Association.
    13. Gerald A. Carlino & Robert H. DeFina & Keith Sill, 2005. "On the stability of employment growth: a postwar view from the U.S. states," Working Papers 04-21, Federal Reserve Bank of Philadelphia.
    14. Gloria Alarcón García & José Daniel Buendía Azorín & María del Mar Sánchez de la Vega, 2018. "Tax Evasion in Europe: An Analysis Based on Spatial Dependence," Social Science Quarterly, Southwestern Social Science Association, vol. 99(1), pages 7-23, March.
    15. Gershman, Boris, 2015. "The economic origins of the evil eye belief," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 119-144.
    16. Ana-María Martínez-Llorens & Paloma Taltavull de La Paz & Raul-Tomas Mora-Garcia, 2020. "Effect of The Physical Characteristics of a Dwelling on Energy Consumption and Emissions: The Case of Castellón And Valencia (Spain)," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    17. Gerald Carlino & Satyajit Chatterjee & Robert Hunt, 2005. "Matching and Learning in Cities: Urban Density and the Rate of Invention," Levine's Bibliography 784828000000000160, UCLA Department of Economics.
    18. Pace, R. Kelley & Barry, Ronald & Gilley, Otis W. & Sirmans, C. F., 2000. "A method for spatial-temporal forecasting with an application to real estate prices," International Journal of Forecasting, Elsevier, vol. 16(2), pages 229-246.
    19. Adela Nistor, 2009. "Assessing the Effectiveness of Human Capital Investments on the Regional Unemployment Rate in the United States: 1990 and 2000," International Regional Science Review, , vol. 32(1), pages 65-91, January.
    20. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.

    More about this item

    JEL classification:

    • 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)
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    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:26:y:2012:p:87-99. 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.