[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ris/revlde/1966.html
   My bibliography  Save this article

A Regional Landscape of Bolivian Economic Growth

Author

Listed:
  • Mendieta Ossio, Pablo

    (Private University of Bolivia (UPB).)

Abstract
Bolivia is a wide surface country, with more than one million of squared kilometers and diverse ecological ecosystems. Besides its landlockedness, Bolivian economic activity has been shaped by the diverse geographic characteristics mainly distance and the availability of communication channels. In this paper I use a novel regional database of regional economic activity to analyze in what extent the spatial dimension has influenced medium term economic growth of the nine regions during the past 45 years. Contrary to standard approach based on contiguity or geographical distance to introduce spatial issues in the analysis, I use an exponential decay approach built on “true distance” jointly a gravity model. Then, I found as significant the inclusion of spatial consideration in the estimation of static and dynamic balanced panel data models, where I found how the process of regional economic growth has been slightly influenced by this spatial feature implying the still low degree of integration among Bolivian regions.

Suggested Citation

  • Mendieta Ossio, Pablo, 2018. "A Regional Landscape of Bolivian Economic Growth," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 31, pages 78-99, May.
    • Handle: RePEc:ris:revlde:1966
    as

    Download full text from publisher

    File URL: http://www.iisec.ucb.edu.bo/assets_iisec/publicacion/Lajed__31-78-99.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Badi H. Baltagi & Dong Li, 2002. "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 103-116, May.
    2. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    3. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    4. Vincenzo Verardi & Christophe Croux, 2009. "Robust regression in Stata," Stata Journal, StataCorp LP, vol. 9(3), pages 439-453, September.
    5. Francois Libois & Vincenzo Verardi, 2013. "Semiparametric fixed-effects estimator," Stata Journal, StataCorp LP, vol. 13(2), pages 329-336, June.
    6. Jean-François Arvis & Gaël Raballand & Jean-François Marteau, 2010. "The Cost of Being Landlocked : Logistics Costs and Supply Chain Reliability," World Bank Publications - Books, The World Bank Group, number 2489.
    7. Emad Abd Elmessih Shehata & Sahra Khaleel A. Mickaiel, 2012. "SPREGDPD: Stata module to estimate Spatial Panel Arellano-Bond Linear Dynamic Regression: Lag & Durbin Models," Statistical Software Components S457506, Boston College Department of Economics, revised 21 Mar 2013.
    8. Peter E. Robertson & Marie†Claire Robitaille, 2017. "The Tyranny of Distance and the Gravity of Resources," The Economic Record, The Economic Society of Australia, vol. 93(303), pages 533-549, December.
    9. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    10. Federico Belotti & Gordon Hughes & Andrea Piano Mortari, 2017. "Spatial panel-data models using Stata," Stata Journal, StataCorp LP, vol. 17(1), pages 139-180, March.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    2. Marbuah, George & Gren, Ing-Marie & Tirkaso, Wondmagegn Tafesse, 2021. "Social capital, economic development and carbon emissions: Empirical evidence from counties in Sweden," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Peter Nannestad, 2019. "Strategic Tax-Setting in Danish Municipalities? A First Look at the Evidence 2007 - 2017," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2019-10-ccr, Condorcet Center for political Economy.
    4. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    5. Uberti, Luca J., 2022. "Corruption and growth: Historical evidence, 1790–2010," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 321-349.
    6. Scheuermeyer, Philipp & Bofinger, Peter, 2016. "Income Distribution and Household Saving: A Non-Monotonic Relationship," VfS Annual Conference 2016 (Augsburg): Demographic Change 145901, Verein für Socialpolitik / German Economic Association.
    7. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    8. Goldberg, Andrew & Romalis, John, 2015. "Public Debt and Growth in U.S. States," Working Papers 2015-10, University of Sydney, School of Economics.
    9. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    10. Vassilis Tselios, 2008. "Income and educational inequalities in the regions of the European Union: Geographical spillovers under welfare state restrictions," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 403-430, August.
    11. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    12. Marzieh Ronaghi & Michael Reed & Sayed Saghaian, 2020. "The impact of economic factors and governance on greenhouse gas emission," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 153-172, April.
    13. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    14. Li, Kunpeng, 2017. "Fixed-effects dynamic spatial panel data models and impulse response analysis," Journal of Econometrics, Elsevier, vol. 198(1), pages 102-121.
    15. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    16. Guriev, Sergei & Vakulenko, Elena, 2015. "Breaking out of poverty traps: Internal migration and interregional convergence in Russia," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 633-649.
    17. Ryan R. Brady, 2011. "Measuring the diffusion of housing prices across space and over time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 213-231, March.
    18. Salima Bouayad-Agha & Nadine Turpin & Lionel Védrine, 2010. "Fostering the potential endogenous development of European regions: a spatial dynamic panel data analysis of the Cohesion Policy on regional convergence over the period 1980-2005," TEPP Working Paper 2010-17, TEPP.
    19. Deleidi, Matteo & Mazzucato, Mariana & Semieniuk, Gregor, 2020. "Neither crowding in nor out: Public direct investment mobilising private investment into renewable electricity projects," Energy Policy, Elsevier, vol. 140(C).
    20. Simplice A. Asongu, 2017. "Knowledge Economy Gaps, Policy Syndromes, and Catch-Up Strategies: Fresh South Korean Lessons to Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 211-253, March.

    More about this item

    Keywords

    Regional economic growth; panel data; spatial econometrics;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • 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:ris:revlde:1966. 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: Carlos Gustavo Machicado (email available below). General contact details of provider: https://edirc.repec.org/data/iisecbo.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.