IDEAS home Printed from https://ideas.repec.org/a/jed/journl/v37y2012i3p25-36.html
   My bibliography  Save this article

The Impact Of Automobile Production On The Growth Of Non-Farm Proprietor Densities In Alabama'S Counties

Author

Listed:
  • SOORIYAKUMAR KRISHNAPILLAI

    (Auburn University)

  • HENRY KINNUCAN

    (Auburn University)

Abstract

This paper studies the impact of the auto industry on the growth of non-farm proprietor densities in Alabama¡¯s counties. Results show that automobile production in Alabama significantly increases non-farm proprietor in all counties. The impact of automobile production on the growth of non-farm proprietor densities in distressed black belt counties is greater than other counties. Then, appropriate policies to lure industrial development become very important to increase the self employment opportunity. There is significant spatial lag effects and spatial error effects between non-farm proprietor densities and per capita income.

Suggested Citation

  • Sooriyakumar Krishnapillai & Henry Kinnucan, 2012. "The Impact Of Automobile Production On The Growth Of Non-Farm Proprietor Densities In Alabama'S Counties," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(3), pages 25-46, September.
    • Handle: RePEc:jed:journl:v:37:y:2012:i:3:p:25-36
    as

    Download full text from publisher

    File URL: http://www.jed.or.kr/full-text/37-3/2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    3. Stephan Goetz & Anil Rupasingha, 2009. "Determinants of growth in non-farm proprietor densities in the US, 1990–2000," Small Business Economics, Springer, vol. 32(4), pages 425-438, April.
    4. Stephan J. Goetz & David Freshwater, 2001. "State-Level Determinants of Entrepreneurship and a Preliminary Measure of Entrepreneurial Climate," Economic Development Quarterly, , vol. 15(1), pages 58-70, February.
    5. Schultz, T Paul, 1990. "Women's Changing Participation in the Labor Force: A World Perspective," Economic Development and Cultural Change, University of Chicago Press, vol. 38(3), pages 457-488, April.
    6. Bernard Trendle, 2009. "The Determinants of Population and Employment Growth in Small Queensland Regions," Economic Analysis and Policy, Elsevier, vol. 39(2), pages 295-307, 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. Gerke J. Hoogstra & Jouke van Dijk & Raymond J. G. M. Florax, 2017. "Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 357-378, October.

    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. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2018. "The Spatial Efficiency Multiplier and Common Correlated Effects in a Spatial Autoregressive Stochastic Frontier Model," Working Papers 18-003, Rice University, Department of Economics.
    2. Gebremeskel H. Gebremariam & Tesfa G. Gebremedhin & Peter V. Schaeffer & Randall W. Jackson, 2008. "A Simultaneous Spatial Panel Data Model of Regional Growth Variation: An Empirical Analysis of Employment, Income, Migration and Local Public Services," Working Papers e07-12, Virginia Polytechnic Institute and State University, Department of Economics.
    3. Caliman, Tiziana & Di Bella, Enrico, 2011. "House Price Dynamics in Italy - La dinamica delle quotazioni immobiliari in Italia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 64(1), pages 37-65.
    4. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    5. Lambert, Dayton M. & Griffin, Terry W., 2004. "Analysis Of Government Farm Subsidies On Farmland Cash Rental Rates Using A Fixed Effect Spatial Distributed Lag Model And A Translog Cost Model," 2004 Annual meeting, August 1-4, Denver, CO 19977, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    7. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    8. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    9. 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.
    10. repec:asg:wpaper:1013 is not listed on IDEAS
    11. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    12. Bhattacharjee, Arnab & Jensen-Butler, Chris, 2013. "Estimation of the spatial weights matrix under structural constraints," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 617-634.
    13. López, Fernando & Matilla-García, Mariano & Mur, Jesús & Marín, Manuel Ruiz, 2010. "A non-parametric spatial independence test using symbolic entropy," Regional Science and Urban Economics, Elsevier, vol. 40(2-3), pages 106-115, May.
    14. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo.
    15. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    16. Kelejian, Harry H. & Murrell, Peter & Shepotylo, Oleksandr, 2013. "Spatial spillovers in the development of institutions," Journal of Development Economics, Elsevier, vol. 101(C), pages 297-315.
    17. Harald Badinger & Peter Egger, 2008. "GM Estimation of Higher-Order Spatial Autoregressive Processes in Cross-Section Models with Heteroskedastic Disturbances," CESifo Working Paper Series 2356, CESifo.
    18. Alessandra Faggian & Mark Partridge & Edward J. Malecki, 2017. "Creating an Environment for Economic Growth: Creativity, Entrepreneurship or Human Capital?," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 41(6), pages 997-1009, November.
    19. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    20. Sarah A. Low & Stephan Weiler, 2012. "Employment Risk, Returns, and Entrepreneurship," Economic Development Quarterly, , vol. 26(3), pages 238-251, August.
    21. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.

    More about this item

    Keywords

    : Automobile Production; Non-Farm Proprietor Densities; Spatial Dependence; Generalized Spatial Three Stage Least Square; Generalized Method of Moments;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    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:jed:journl:v:37:y:2012:i:3:p:25-36. 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: Sung Y. Park (email available below). General contact details of provider: https://edirc.repec.org/data/eccaukr.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.