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Rural Manufacturing on the Crest of the Wave: A Count Data Analysis of Technology Use

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  • H. Frederick Gale

Abstract

This study compares the extent of technology use by rural and urban manufacturing plants. Count data regression models explain technology use as a function of rural-urban indicator variables, plant characteristics, and location characteristics. The results show no difference in technology use due to rural-urban location. Characteristics of nonmetro plants, including size, prevalency of branch plants, and nature of production process, tend to raise nonmetro manufacturing technology use. Lower nonmetro schooling levels, an older labor force, and mix of industries with low technology use tend to reduce technology use in nonmetro areas. Copyright 1998, Oxford University Press.

Suggested Citation

  • H. Frederick Gale, 1998. "Rural Manufacturing on the Crest of the Wave: A Count Data Analysis of Technology Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 347-359.
  • Handle: RePEc:oup:ajagec:v:80:y:1998:i:2:p:347-359
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    1. Danielle Galliano & Pascale Roux, 2008. "Organisational motives and spatial effects in Internet adoption and intensity of use: evidence from French industrial firms," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(2), pages 425-448, June.
    2. Zhang, Feng & Park, Timothy A., 2004. "Computer Adoption Patterns Of U.S. Small Businesses," 2004 Annual meeting, August 1-4, Denver, CO 20250, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Pruitt, J. Ross & Gillespie, Jeffrey M. & Nehring, Richard F. & Qushim, Berdikul, 2012. "Adoption of Technology, Management Practices, and Production Systems by U.S. Beef Cow-Calf Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(02), pages 203-222, May.
    4. Baldwin, John R. & Sabourin, David, 2002. "Enhancing Food Safety and Productivity: Technology Use in the Canadian Food Processing Industry," Analytical Studies Branch Research Paper Series 2002168e, Statistics Canada, Analytical Studies Branch.
    5. Danielle Galliano & Pascale Roux, 2006. "Les inégalités spatiales dans l'usage des tic. Le cas des firmes industrielles françaises," Revue économique, Presses de Sciences-Po, vol. 57(6), pages 1449-1475.
    6. Nkegbe, Paul Kwame & Shankar, Bhavani, 2014. "Adoption intensity of soil and water conservation practices by smallholders: evidence from Northern Ghana," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 2, August.
    7. Danielle Galliano & Luis Orozco, 2013. "New Technologies and Firm Organization: The Case of Electronic Traceability Systems in French Agribusiness," Industry and Innovation, Taylor & Francis Journals, vol. 20(1), pages 22-47, January.
    8. Danielle Galliano & Luis Orozco, 2011. "Les déterminants industriels et spatiaux du processus d'adoption de technologies : Le cas des systèmes de traçabilité dans les firmes industrielles françaises," Géographie, économie, société, Lavoisier, vol. 13(2), pages 135-163.
    9. Mishra, Ashok K. & Park, Timothy A., 2005. "An Empirical Analysis of Internet Use by U.S. Farmers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(02), pages 253-264, October.
    10. David A. McGranahan & Timothy R. Wojan & Dayton M. Lambert, 2011. "The rural growth trifecta: outdoor amenities, creative class and entrepreneurial context -super-§," Journal of Economic Geography, Oxford University Press, vol. 11(3), pages 529-557, May.
    11. Rahelizatovo, Noro C. & Gillespie, Jeffrey M., 2004. "The Adoption of Best-Management Practices by Louisiana Dairy Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(01), pages 229-240, April.
    12. Galliano, D. & Roux, P., 2005. "The evolution of the spatial digital divide : from internet adoption to internet use by french industrial firms," Economics Working Paper Archive (Toulouse) 200513, French Institute for Agronomy Research (INRA), Economics Laboratory in Toulouse (ESR Toulouse).
    13. Danielle Galliano & Luis Orozco, 2011. "The determinants of electronic traceability adoption: a firm‐level analysis of French agribusiness," Agribusiness, John Wiley & Sons, Ltd., vol. 27(3), pages 379-397, June.
    14. Galliano, Danielle & Orozco, L., 2008. "Intra and Inter organisational determinants of electronic-based traceability adoption: evidences from the French agri-food industry," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43952, European Association of Agricultural Economists.
    15. Baldwin, John R. & Sabourin, David, 2002. "Ameliorer la salubrite des aliments et la productivite : utilisation de la technologie dans le secteur de la transformation des aliments au Canada," Direction des etudes analytiques : documents de recherche 2002168f, Statistics Canada, Direction des etudes analytiques.
    16. Amarender Reddy, A. & Bantilan, Ma Cynthia S., 2012. "Competitiveness and technical efficiency: Determinants in the groundnut oil sector of India," Food Policy, Elsevier, vol. 37(3), pages 255-263.

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