IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/103651.html
   My bibliography  Save this paper

Economic Growth in the Philippines: A Spatial Econometrics Analysis at the Provincial Level, 1991 – 2000

Author

Listed:
  • Pede, Valerien O.
  • Huelgas, Zenaida M.
  • Villano, Lorena
  • Garcia, Cornelia
  • McKinley, Justin D.
  • Mohanty, Samarendu

Abstract

Investigating the determinants of economic growth remains a long research tradition in the economic growth literature. Most studies in this literature have tried to link economic growth and different economic factors using either neoclassical growth theories or endogenous growth approaches. These studies apply these growth theories to identify the factors responsible for the observed differences/disparities between regions or countries. While early studies focused on cross-country analyses, the recent most studies consider regions or sub-national entities as unit of analysis. This has raised the question of whether theories developed for cross-country analysis could be automatically applied for regional or sub-national analysis. Given the profound difference between nations and regions in terms of degree of openness, theories developed in cross-country analysis may not be automatically applied in regional analysis (see Mangrini, 2004). However, properly accounting for the spatial interaction effects may provide a way to use these theories in regional analysis. Regional analysis of economic growth has therefore spurned the development of specialized quantitative methods designed to account for the spatial dimensions of higher resolution, spatially referenced data. The goal of this research is to investigate the process of regional economic growth in the Philippines focusing on provincial data. Previous studies on regional growth within the Philippines have analyzed the regional growth process following neoclassical growth models or endogenous growth models without explicitly modeling spatial dependence between regions and the role of spillover effects. Traditional growth regressions with ordinary least squares may yield biased or inconsistent estimates if spatial autocorrelation is present but have been accounted for. This paper uses spatial econometrics techniques to estimate three theoretical growth models: the unconditional growth model, the Solow model and the Mankiw Romer and Weil model. Investment and human capital were found to be the main drivers of economic growth.

Suggested Citation

  • Pede, Valerien O. & Huelgas, Zenaida M. & Villano, Lorena & Garcia, Cornelia & McKinley, Justin D. & Mohanty, Samarendu, 2011. "Economic Growth in the Philippines: A Spatial Econometrics Analysis at the Provincial Level, 1991 – 2000," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103651, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103651
    DOI: 10.22004/ag.econ.103651
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/103651/files/13273_poster_1_.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.103651?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Community/Rural/Urban Development; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea11:103651. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.