IDEAS home Printed from https://ideas.repec.org/p/soa/wpaper/103.html
   My bibliography  Save this paper

The Impact of Technology Accumulation on Technical Efficiency: an Analysis of the Sri Lankan Clothing and Agricultural Machinery Industries

Author

Listed:
  • Sonali Deraniyagala

    (Department of Economics, SOAS University of London, UK)

Abstract

This paper examines the effects of technology accumulation on firm-level technical efficiency in the Sri Lankan clothing and agricultural machinery industries, using cross-section survey data. Econometric analysis of the economic effects of technology development in developing countries is limited and this paper seeks to address this gap in the literature. The analysis shows simple adaptive technical change to have a significant and positive effect on efficiency in both industries. In addition, variables relating to technological skills and training also emerge as significant determinants of firm-level efficiency.

Suggested Citation

  • Sonali Deraniyagala, 2000. "The Impact of Technology Accumulation on Technical Efficiency: an Analysis of the Sri Lankan Clothing and Agricultural Machinery Industries," Working Papers 103, Department of Economics, SOAS University of London, UK.
    • Handle: RePEc:soa:wpaper:103
    as

    Download full text from publisher

    File URL: https://www.soas.ac.uk/sites/default/files/2022-10/economics-wp103.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lall, Sanjaya & Teubal, Morris, 1998. ""Market-stimulating" technology policies in developing countries: A framework with examples from East Asia," World Development, Elsevier, vol. 26(8), pages 1369-1385, August.
    2. Aw, Bee Yan & Batra, Geeta, 1998. "Technological Capability and Firm Efficiency in Taiwan (China)," The World Bank Economic Review, World Bank, vol. 12(1), pages 59-79, January.
    3. Sanjaya Lall, 1996. "Understanding Technology Development," Palgrave Macmillan Books, in: Learning from the Asian Tigers, chapter 2, pages 27-58, Palgrave Macmillan.
    4. Giovanni Dosi, 2000. "Opportunities, Incentives and the Collective Patterns of Technological Change," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 4, pages 145-162, Edward Elgar Publishing.
    5. Rodrik, Rani, 1995. "Trade and industrial policy reform," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 45, pages 2925-2982, Elsevier.
    6. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    7. Carl J. Dahlman & Fernando Valadares Fonseca, 1987. "From Technological Dependence to Technological Development: The Case of the USIMINAS Steel Plant in Brazil," Palgrave Macmillan Books, in: Jorge M. Katz (ed.), Technology Generation in Latin American Manufacturing Industries, chapter 6, pages 154-182, Palgrave Macmillan.
    8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    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. Sonali Deraniyagala, 2001. "Adaptive technology strategies and technical efficiency: Evidence from the Sri Lankan agricultural machinery industry," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(1), pages 59-71.
    2. Sonali Deraniyagala, 2000. "Adaptive Technology Strategies and Technical Efficiency: Evidence from the Sri Lankan Agricultural Machinery Industry," Working Papers 104, Department of Economics, SOAS University of London, UK.
    3. Munir Ahmad & Azkar Ahmad, 1998. "An Analysis of the Sources of Wheat Output Growth in the Barani Area of the Punjab," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(3), pages 231-249.
    4. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    5. Koen De Backer & Leo Sleuwaegen, 2005. "A closer look at the productivity advantage of foreign affiliates," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 12(1), pages 17-34.
    6. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    7. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    8. Renuka Mahadevan, 2002. "Trade liberalization and productivity growth in Australian manufacturing industries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 30(2), pages 170-185, June.
    9. Contreras, Dulce/D & Sánchez, Rosario/R & Soria, Delfina/D, 2012. "Mobility, wages and gender across Europe," MPRA Paper 42589, University Library of Munich, Germany, revised Nov 2012.
    10. Banfi, Silvia & Filippini, Massimo, 2010. "Resource rent taxation and benchmarking--A new perspective for the Swiss hydropower sector," Energy Policy, Elsevier, vol. 38(5), pages 2302-2308, May.
    11. Liu, Lili, 1991. "Entry-exit, learning, and productivity change : evidence from Chile," Policy Research Working Paper Series 769, The World Bank.
    12. Veronika Fenyves & Tibor Tarnóczi & Zoltán Bács & Dóra Kerezsi & Péter Bajnai & Mihály Szoboszlai, 2022. "Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 413-426.
    13. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    14. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    15. Goyal, S.K. & Suhag, K.S. & Pandey, U.K., 2006. "An Estimation of Technical Efficiency of Paddy Farmers in Haryana State of India," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 61(1), pages 1-15.
    16. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    17. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
    18. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    19. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    20. Cazals Catherine & Dudley Paul & Florens Jean-Pierre & Jones Michael, 2011. "The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector," Review of Network Economics, De Gruyter, vol. 10(3), pages 1-22, September.

    More about this item

    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:soa:wpaper:103. 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: Chandni Dwarkasing (email available below). General contact details of provider: https://edirc.repec.org/data/desoauk.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.