IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-20-00967.html
   My bibliography  Save this article

Does the asset-light business model create value? A panel data stochastic frontier approach for the global semiconductor industry

Author

Listed:
  • Guangshun Qiao

    (School of Finance and Trade, Wenzhou Business College, Wenzhou, 325035, China)

Abstract

This paper applies a panel data stochastic frontier approach to investigate the impacts of different business models in operating efficiencies in the global semiconductor industry. The efficiency scores are linked with the financial ratios and specified by cumulative probit distribution function, cumulative logit distribution function, and the Gumbel function respectively after disentangling the heterogeneity by the within transformation. The estimates by the nonlinear least squares technique indicate that the asset-light fabless companies have relatively higher efficiency scores among the different operating models in the global semiconductor industry.

Suggested Citation

  • Guangshun Qiao, 2021. "Does the asset-light business model create value? A panel data stochastic frontier approach for the global semiconductor industry," Economics Bulletin, AccessEcon, vol. 41(3), pages 1125-1138.
  • Handle: RePEc:ebl:ecbull:eb-20-00967
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2021/Volume41/EB-21-V41-I3-P95.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ludovic Dibiaggio, 2007. "Design complexity, vertical disintegration and knowledge organization in the semiconductor industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(2), pages 239-267, April.
    2. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    3. Rahul Kapoor & Ron Adner, 2012. "What Firms Make vs. What They Know: How Firms' Production and Knowledge Boundaries Affect Competitive Advantage in the Face of Technological Change," Organization Science, INFORMS, vol. 23(5), pages 1227-1248, October.
    4. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    5. Sumita Sarma & Sunny Li Sun, 2017. "The genesis of fabless business model: Institutional entrepreneurs in an adaptive ecosystem," Asia Pacific Journal of Management, Springer, vol. 34(3), pages 587-617, September.
    6. Scott L. Newbert, 2008. "Value, rareness, competitive advantage, and performance: a conceptual‐level empirical investigation of the resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 29(7), pages 745-768, July.
    7. Ying‐Chan Tang & Fen‐May Liou, 2010. "Does firm performance reveal its own causes? the role of Bayesian inference," Strategic Management Journal, Wiley Blackwell, vol. 31(1), pages 39-57, January.
    8. Kumbhakar, Subal C. & Wang, Hung-Jen, 2005. "Estimation of growth convergence using a stochastic production frontier approach," Economics Letters, Elsevier, vol. 88(3), pages 300-305, September.
    9. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    10. Mahoney, Joseph T., 1995. "The management of resources and the resource of management," Journal of Business Research, Elsevier, vol. 33(2), pages 91-101, June.
    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. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    2. Roy, Manish & Mazumder, Ritwik, 2016. "Technical Efficiency of Fish Catch in Traditional Fishing: A Study in Southern Assam," Journal of Regional Development and Planning, Rajarshi Majumder, vol. 5(1), pages 55-68.
    3. Roberto Furesi & Fabio Madau & Pietro Pulina, 2013. "Technical efficiency in the sheep dairy industry: an application on the Sardinian (Italy) sector," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 1(1), pages 1-11, December.
    4. Tauer, Loren W. & Mishra, Ashok K., 2006. "Can the small dairy farm remain competitive in US agriculture?," Food Policy, Elsevier, vol. 31(5), pages 458-468, October.
    5. Giampaolo Garzarelli & Stephen M. Miller & Yasmina R. Limam, 2016. "Output Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach," Working Papers 613, Economic Research Southern Africa.
    6. Madau, Fabio A., 2005. "Technical Efficiency in Organic Farming: An Application on Italian Cereal Farms Using a Parametric Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24545, European Association of Agricultural Economists.
    7. Vangelis Tzouvelekas & Konstantinos Giannakas & Peter Midmore & Konstantinos Mattas, 1997. "Technical efficiency measures for olive-growing farms in Crete, Greece," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 154-169, May.
    8. Alejandro Esteller-Moré, 2005. "Is There a Connection Between the Tax Administration and the Political Power?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(5), pages 639-663, September.
    9. Taylan G. Topcu & Konstantinos Triantis, 2022. "An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences," Annals of Operations Research, Springer, vol. 309(1), pages 395-423, February.
    10. Tom Kompas & Tuong Nhu Che, 2004. "Production and Technical Efficiency on Australian Dairy Farms," International and Development Economics Working Papers idec04-1, International and Development Economics.
    11. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    12. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    13. Arbelo-Pérez, Marta & Arbelo, Antonio & Pérez-Gómez, Pilar, 2017. "Impact of quality on estimations of hotel efficiency," Tourism Management, Elsevier, vol. 61(C), pages 200-208.
    14. Rajesh Raj, Seethamma Natarajan, 2007. "Technical Efficiency in the Informal Manufacturing Enterprises: Firm level evidence from an Indian state," MPRA Paper 7816, University Library of Munich, Germany.
    15. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    16. Francisca Pacheco & Rafael Sánchez & Mauricio G. Villena, 2021. "Estimating local government efficiency using a panel data parametric approach: the case of Chilean municipalities," Applied Economics, Taylor & Francis Journals, vol. 53(3), pages 292-314, January.
    17. Rajesh Raj S.N., 2011. "Technical Efficiency in the Informal Manufacturing Sector," Journal of South Asian Development, , vol. 6(2), pages 213-232, October.
    18. Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    19. Zuniga-Gonzalez, C.A, 2009. "Analisis de la eficiencia tecnica de la unidad de VPN UNAN-LEON utilizando funcion de produccion stochastic frontier, 2007-2008 [Technical efficiency analysis of the PNV unit UNAN-Leon using produc," MPRA Paper 110950, University Library of Munich, Germany, revised 14 Jan 2009.
    20. Roberto Colombi & Gianmaria Martini & Giorgio Vittadini, 2017. "Determinants of transient and persistent hospital efficiency: The case of Italy," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 5-22, September.

    More about this item

    Keywords

    asset-light business model; vertical specialization; semiconductor industry; stochastic frontier analysis; operating efficiency;
    All these keywords.

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • D2 - Microeconomics - - Production and Organizations

    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:ebl:ecbull:eb-20-00967. 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: John P. Conley (email available below). General contact details of provider: .

    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.