IDEAS home Printed from https://ideas.repec.org/a/ags/eaaeac/142617.html
   My bibliography  Save this article

Spatial analysis of agricultural supply response in the Brazilian Center-West

Author

Listed:
  • Figueiredo, Adriano Marcos Rodrigues
  • Bonjour, Sandra Cristina de Moura
  • Teixeira, Erly Cardoso
  • Helfand, Steven M.

Abstract

This study investigates the importance of spatial dependence and inter-relations due to geographic localization over the supply response to agricultural prices, in the Brazilian Center-West. Specifically, we evaluated: the spatial error dependence in the input demand and output supply; and, the importance of input and output prices in farmers response. The contribution to the literature is to combine a translog profit share system of equations with spatial error dependence, cross-sectional and four agricultural censuses. There are econometric evidences of spatial dependencies in the residuals. There were high positive spatial autocorrelation in products. This demonstrates an influence of other factors not included in the model, modifying the residuals only due to localization. There are substitution relations mainly to rice price changes and some omplementarities among others. Among factors, they were complements. The spatial effects in this study were very important, changing decisively the calculated elasticities, and showing that all analyzed products suffer from these effects.

Suggested Citation

  • Figueiredo, Adriano Marcos Rodrigues & Bonjour, Sandra Cristina de Moura & Teixeira, Erly Cardoso & Helfand, Steven M., 2011. "Spatial analysis of agricultural supply response in the Brazilian Center-West," Economi­a Agraria (Revista Economia Agraria), Agrarian Economist Association (AEA), Chile, vol. 15, pages 1-13.
    • Handle: RePEc:ags:eaaeac:142617
    DOI: 10.22004/ag.econ.142617
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/142617/files/Rodrigues%202011.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.142617?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
    ---><---

    References listed on IDEAS

    as
    1. Sckokai, Paolo & Moro, Daniele, 1996. "Direct Separability in Multi-output Technologies: An Application to the Italian Agricultural Sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(1), pages 95-116.
    2. Anselin, Luc, 1988. "A test for spatial autocorrelation in seemingly unrelated regressions," Economics Letters, Elsevier, vol. 28(4), pages 335-341.
    3. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    4. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    5. A. Stewart Fotheringham & Martin Charlton & Chris Brunsdon, 1997. "Measuring Spatial Variations in Relationships with Geographically Weighted Regression," Advances in Spatial Science, in: Manfred M. Fischer & Arthur Getis (ed.), Recent Developments in Spatial Analysis, chapter 4, pages 60-82, Springer.
    6. Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
    7. Manfred M. Fischer & Arthur Getis (ed.), 1997. "Recent Developments in Spatial Analysis," Advances in Spatial Science, Springer, number 978-3-662-03499-6.
    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. Figueiredo, Adriano Marcos Rodrigues & Bonjour, Sandra Cristina de Moura & Teixeira, Erly Cardoso & Helfand, Steven M., 2011. "Spatial analysis of agricultural supply response in the Brazilian Center-West," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 15.
    2. repec:rri:wpaper:201303 is not listed on IDEAS
    3. 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.
    4. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Gianfranco Piras, 2013. "Efficient GMM Estimation of a Cliff and Ord Panel Data Model with Random Effects," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 370-388, September.
    6. 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.
    7. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
    8. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.
    9. Giovanni Millo, 2024. "An Ad Hoc Procedure for Testing Serial Correlation in Spatial Fixed-Effects Panels," Mathematics, MDPI, vol. 12(10), pages 1-18, May.
    10. Harry H. Kelejian & Gianfranco Piras, 2013. "A J-Test for Panel Models with Fixed Effects, Spatial and Time," Working Papers Working Paper 2013-03, Regional Research Institute, West Virginia University.
    11. Michael Brady & Elena Irwin, 2011. "Accounting for Spatial Effects in Economic Models of Land Use: Recent Developments and Challenges Ahead," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 487-509, March.
    12. João Romão & João Guerreiro & Paulo M. M. Rodrigues, 2017. "Territory and Sustainable Tourism Development: a Space-Time Analysis on European Regions," REGION, European Regional Science Association, vol. 4, pages 1-17.
    13. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    14. Hasan Engin Duran & Pawe³ Gajewski, 2023. "State-level Taylor rule and monetary policy stress," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 89-120, March.
    15. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    16. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    17. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    18. Jesús Mur & Fernando López & Marcos Herrera, 2010. "Testing for Spatial Effects in Seemingly Unrelated Regressions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 399-440.
    19. 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.
    20. repec:asg:wpaper:1013 is not listed on IDEAS
    21. Marton, Tibor, 2015. "Spatial Concentration of Milk Production in Norway: The Flow of Quotas," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212657, European Association of Agricultural Economists.
    22. Xiaodong Du & David A. Hennessy & William M. Edwards, 2007. "Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory," Center for Agricultural and Rural Development (CARD) Publications 07-wp454, Center for Agricultural and Rural Development (CARD) at Iowa State University.

    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:eaaeac:142617. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeaagea.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.