IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/28080.html
   My bibliography  Save this paper

Anatomy of Technology in the Firm

Author

Listed:
  • Xavier Cirera
  • Diego A. Comin
  • Marcio Cruz
  • Kyung Min Lee

Abstract

We collect detailed data on the technologies used in a comprehensive set of business functions in a representative sample of firms in Vietnam, Senegal, and the Brazilian state of Ceará, and construct measures of technology sophistication at the business function and firm levels. There is a large variance of sophistication across firms, but we find that the variance of technology sophistication across the business functions of a firm (within-firm variance) is 2.8 times larger. We develop a model of technology adoption with heterogeneity in adoption costs across business functions and with non-homothetic production that induces heterogeneity in the marginal value of technology sophistication across functions. The model predicts a stable cross-firm relationship between sophistication in the business function and firm-level technology that we call the technology curve. We find that the slopes of technology curves differ greatly across business functions and that curves account for one third of within-firm variance in sophistication. A development accounting exercise shows that cross-firm variation in sophistication measures accounts for thirty percent of cross-firm differences in productivity.

Suggested Citation

  • Xavier Cirera & Diego A. Comin & Marcio Cruz & Kyung Min Lee, 2020. "Anatomy of Technology in the Firm," NBER Working Papers 28080, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28080
    Note: DEV EFG IO ITI ME PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w28080.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741, Elsevier.
    2. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1351-1408.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Luc Behaghel & Bruno Crépon & Marc Gurgand & Thomas Le Barbanchon, 2015. "Please Call Again: Correcting Nonresponse Bias in Treatment Effect Models," The Review of Economics and Statistics, MIT Press, vol. 97(5), pages 1070-1080, December.
    5. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    6. Schröder, Carsten & Yitzhaki, Shlomo, 2017. "Revisiting the evidence for cardinal treatment of ordinal variables," European Economic Review, Elsevier, vol. 92(C), pages 337-358.
    7. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    8. Nicholas Bloom & John Van Reenen, 2010. "New Approaches to Surveying Organizations," American Economic Review, American Economic Association, vol. 100(2), pages 105-109, May.
    9. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 5266, London School of Economics and Political Science, LSE Library.
    10. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    11. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    12. Alan B. Krueger, 1993. "How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984–1989," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 33-60.
    13. David Atkin & Amit K. Khandelwal & Adam Osman, 2017. "Exporting and Firm Performance: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 551-615.
    14. Kevin J. Stiroh, 2002. "Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?," American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
    15. John E. DiNardo & Jörn-Steffen Pischke, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 291-303.
    16. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    17. Bart van Ark & Mary O'Mahoney & Marcel P. Timmer, 2008. "The Productivity Gap between Europe and the United States: Trends and Causes," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 25-44, Winter.
    18. Goldman, Matt & Kaplan, David M., 2018. "Comparing distributions by multiple testing across quantiles or CDF values," Journal of Econometrics, Elsevier, vol. 206(1), pages 143-166.
    19. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    20. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    21. Gabriel Ulyssea, 2018. "Firms, Informality, and Development: Theory and Evidence from Brazil," American Economic Review, American Economic Association, vol. 108(8), pages 2015-2047, August.
    22. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2005. "Productivity, Volume 3: Information Technology and the American Growth Resurgence," MIT Press Books, The MIT Press, edition 1, volume 3, number 0262101114, December.
    23. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    24. Tavneet Suri, 2011. "Selection and Comparative Advantage in Technology Adoption," Econometrica, Econometric Society, vol. 79(1), pages 159-209, January.
    25. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    26. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    27. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    28. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    29. Davies, Stephen W., 1979. "Inter-firm diffusion of process innovations," European Economic Review, Elsevier, vol. 12(4), pages 299-317, October.
    30. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 3567, London School of Economics and Political Science, LSE Library.
    31. John Cawley & James Heckman & Edward Vytlacil, 1999. "On Policies To Reward The Value Added By Educators," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 720-727, November.
    32. Caeyers, Bet & Chalmers, Neil & De Weerdt, Joachim, 2012. "Improving consumption measurement and other survey data through CAPI: Evidence from a randomized experiment," Journal of Development Economics, Elsevier, vol. 98(1), pages 19-33.
    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. Kuhn, Moritz & Luo, Jinfeng & Manovskii, Iourii & Qiu, Xincheng, 2023. "Coordinated firm-level work processes and macroeconomic resilience," Journal of Monetary Economics, Elsevier, vol. 137(C), pages 107-127.
    2. Ahmed Waqar Qasim, 2023. "Firms and Technology Adoption: The Role of Political Institutions and Market Size (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(1), pages 61-85.
    3. Cirera,Xavier & Vargas Da Cruz,Marcio Jose & Grover,Arti Goswami & Iacovone,Leonardo & Medvedev,Denis & Pereira Lopez,Mariana De La Paz & Reyes,Santiago, 2021. "Firm Recovery during COVID-19 : Six Stylized Facts," Policy Research Working Paper Series 9810, The World Bank.
    4. Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin, 2021. "Firm-Level Adoption of Technologies in Senegal," Policy Research Working Paper Series 9657, The World Bank.

    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. Cirera,Xavier & Comin,Diego Adolfo & Vargas Da Cruz,Marcio Jose & Lee,Kyungmin, 2020. "Technology Within and Across Firms," Policy Research Working Paper Series 9476, The World Bank.
    2. Apoorv Gupta & Jacopo Ponticelli & Andrea Tesei, 2020. "Language Barriers, Technology Adoption and Productivity: Evidence from Agriculture in India," NBER Working Papers 27192, National Bureau of Economic Research, Inc.
    3. Alistair Dieppe, 2021. "Global Productivity," World Bank Publications - Books, The World Bank Group, number 34015, December.
    4. Van Reenen, John, 2011. "Does competition raise productivity through improving management quality?," International Journal of Industrial Organization, Elsevier, vol. 29(3), pages 306-316, May.
    5. Bloom, Nicholas & Van Reenen, John, 2011. "Human Resource Management and Productivity," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 19, pages 1697-1767, Elsevier.
    6. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2010. "Recent Advances in the Empirics of Organizational Economics," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 105-137, September.
    7. Achyuta Adhvaryu & Anant Nyshadham & Jorge A. Tamayo, 2019. "Managerial Quality and Productivity Dynamics," NBER Working Papers 25852, National Bureau of Economic Research, Inc.
    8. Qian, Nancy & Lagakos, David & Moll, Benjamin & Porzio, Tommaso, 2012. "Experience Matters: Human Capital and Development Accounting," CEPR Discussion Papers 9253, C.E.P.R. Discussion Papers.
    9. Daniel Agness & Travis Baseler & Sylvain Chassang & Pascaline Dupas & Erik Snowberg, 2022. "Valuing the Time of the Self-Employed," Working Papers 2022-2, Princeton University. Economics Department..
    10. Francisco Queiró, 2022. "Entrepreneurial Human Capital and Firm Dynamics [How Large Are Human-Capital Externalities? Evidence from Compulsory Schooling Laws]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(4), pages 2061-2100.
    11. Ethan Ilzetzki & Saverio Simonelli, 2017. "Measuring Productivity Dispersion: Lessons From Counting One-Hundred Million Ballots," CSEF Working Papers 483, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    12. Bassi, Vittorio & Nyshadham, Anant & Tamayo, Jorge & Adhvaryu, Achyuta, 2020. "No Line Left Behind: Assortative Matching Inside the Firm," CEPR Discussion Papers 14554, C.E.P.R. Discussion Papers.
    13. Michael Peters & Ufuk Akcigit, 2014. "Lack of Selection and Poor Management Practices: Firm Dynamics in Developing Countries," 2014 Meeting Papers 762, Society for Economic Dynamics.
    14. Oliner, Stephen D. & Sichel, Daniel E. & Stiroh, Kevin J., 2008. "Explaining a productive decade," Journal of Policy Modeling, Elsevier, vol. 30(4), pages 633-673.
    15. Joan Hamory & Marieke Kleemans & Nicholas Y Li & Edward Miguel, 2021. "Reevaluating Agricultural Productivity Gaps with Longitudinal Microdata," Journal of the European Economic Association, European Economic Association, vol. 19(3), pages 1522-1555.
    16. Stefano Manzocchi & Beniamino Quintieri & Gianluca Santoni, 2017. "Local manufacturing productivity markers: an empirical study of the Italian counties," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 255-279, July.
    17. Diego Restuccia, 2019. "Misallocation and aggregate productivity across time and space," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(1), pages 5-32, February.
    18. Gharad Bryan & Shyamal Chowdhury & A. Mushfiq Mobarak, 2011. "Seasonal Migration and Risk Aversion," Working Papers id:4650, eSocialSciences.
    19. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    20. Rossi,Federico, 2018. "Human Capital and Macro-Economic Development : A Review of the Evidence," Policy Research Working Paper Series 8650, The World Bank.

    More about this item

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:nbr:nberwo:28080. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.