IDEAS home Printed from https://ideas.repec.org/p/iis/dispap/iiisdp230.html
   My bibliography  Save this paper

Sector Switching: An Unexplored Dimension of Firm Dynamics in Developing Countries

Author

Listed:
  • Carol Newman
  • John Rand
  • Finn Tarp

Abstract

Much of the literature on industry evolution has found firm dynamics to be an important source of sector-level productivity growth. In this paper, we ask whether the delineation of entry and exit firms matters in assessing the impact of firm turnover. Using detailed firm level data from Vietnam, it emerges that efficiency differences between sector switchers and exit/entry firms exist. Distinguishing between switchers and firm entry/exit is crucial for understanding the contribution of firm turnover to overall productivity growth. Moreover, we uncover distinct and illuminating firm and sector-level determinants of firm exit and switching, which need to be carefully considered in the search for effective policy.

Suggested Citation

  • Carol Newman & John Rand & Finn Tarp, 2007. "Sector Switching: An Unexplored Dimension of Firm Dynamics in Developing Countries," The Institute for International Integration Studies Discussion Paper Series iiisdp230, IIIS.
  • Handle: RePEc:iis:dispap:iiisdp230
    Note: Length:
    as

    Download full text from publisher

    File URL: https://www.tcd.ie/triss/assets/PDFs/iiis/iiisdp230.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Van Biesebroeck, Johannes, 2008. "The Sensitivity of Productivity Estimates," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 311-328.
    2. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    3. Johannes Sauer & Klaus Frohberg & Heinrich Hockmann, 2006. "Stochastic Efficiency Measurement: The Curse of Theoretical Consistency," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(1), pages 139-165, May.
    4. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    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. Henrik Hansen & John Rand & Finn Tarp, 2009. "Enterprise Growth and Survival in Vietnam: Does Government Support Matter?," Journal of Development Studies, Taylor & Francis Journals, vol. 45(7), pages 1048-1069, August.
    2. Atsushi Kawakami & Tsutomu Miyagawa, 2013. "Product Switching and Firm Performance in Japan - Empirical Analysis Based on the Census of Manufacturers," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 9(2), pages 287-314, March.
    3. KAWAKAMI Atsushi & MIYAGAWA Tsutomu, 2010. "Product Switching and Firm Performance in Japan," Discussion papers 10043, Research Institute of Economy, Trade and Industry (RIETI).

    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. Julien, Jacques C. & Bravo-Ureta, Boris E. & Rada, Nicholas E., 2019. "Assessing farm performance by size in Malawi, Tanzania, and Uganda," Food Policy, Elsevier, vol. 84(C), pages 153-164.
    2. Kutlu, Levent & McCarthy, Patrick, 2016. "US airport ownership, efficiency, and heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 117-132.
    3. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & Almeida, Alexandre Nunes de, 2021. "Forest, agriculture and land conversion: Environmental efficiency in Brazilian Amazon rainforest," Forest Policy and Economics, Elsevier, vol. 133(C).
    4. Anne-Kathrin Last & Heike Wetzel, 2010. "The efficiency of German public theaters: a stochastic frontier analysis approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(2), pages 89-110, May.
    5. Vladimír Kostlivý & Zuzana Fuksová, 2019. "Technical efficiency and its determinants for Czech livestock farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(4), pages 175-184.
    6. Arne Henningsen & Christian Henning, 2009. "Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure," Journal of Productivity Analysis, Springer, vol. 32(3), pages 217-229, December.
    7. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    8. Valeria Cosmo, 2013. "Ownership, Scale Economies and Efficiency in the Italian Water Sector," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 399-415, September.
    9. Sunhyung Min & Kwansoo Kim, 2024. "Do peers and agglomeration affect farm efficiency?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(8), pages 395-405.
    10. Niquidet, Kurt & Nelson, Harry, 2010. "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach," Journal of Forest Economics, Elsevier, vol. 16(4), pages 257-267, December.
    11. Mulwa, Richard & Kabubo-Mariara, Jane, 2017. "Productive Efficiency and Its Determinants in a Changing Climate: A Monotonic Translog Stochastic Frontier Analysis," EfD Discussion Paper 17-6, Environment for Development, University of Gothenburg.
    12. Gataulina, Ekaterina & Hockmann, Heinrich & Strokov, Anton, 2014. "Production Risk, Technology and Market Access in Different Organisational Forms: Evidence from Tatarstan and Oryol," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 53(4), pages 1-26, November.
    13. Mugera, Amin W. & Langemeier, Michael R. & Featherstone, Allen M., 2010. "Do Theoretical Restrictions Matter for the Translog Stochastic Production Function? Evidence from the Kansas Farm Sector," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61582, Agricultural and Applied Economics Association.
    14. Holger Seebens & Johannes Sauer, 2007. "Bargaining power and efficiency-rural households in Ethiopia," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(7), pages 895-918.
    15. Rahmatallah Poudineh & Tooraj Jamasb, 2016. "A New Perspective: Investment and Efficiency under Incentive Regulation," The Energy Journal, , vol. 37(1), pages 158-182, January.
    16. Andrew P. Barnes, 2023. "The role of family life‐cycle events on persistent and transient inefficiencies in less favoured areas," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 295-315, February.
    17. Anik, Asif Reza & Bauer, Siegfried, 2015. "Impact of resource ownership and input market access on Bangladeshi paddy growers’ efficiency," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
    18. Gbemay Singbo, Alphonse & Larue, Bruno, 2014. "Scale Economies and Technical Efficiency of Quebec Dairy Farms," Working Papers 182482, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    19. Mariarosaria Agostino & Ercan Enzo Comert & Federica Demaria & Sabrina Ruberto, 2024. "What kinds of subsidies affect technical efficiency? The case of Italian dairy farms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 116-138, January.
    20. Jianxu Liu & Changrui Dong & Shutong Liu & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Sources of Total-Factor Productivity and Efficiency Changes in China’s Agriculture," Agriculture, MDPI, vol. 10(7), pages 1-18, July.

    More about this item

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iis:dispap:iiisdp230. 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: Maeve (email available below). General contact details of provider: https://edirc.repec.org/data/cetcdie.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.