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Linking investment spikes and productivity growth

Author

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  • Pinar Geylani
  • Spiro Stefanou
Abstract
We investigate the relationship between productivity growth and investment spikes using Census Bureau’s plant-level dataset for the U.S. food manufacturing industry. There are differences in productivity growth and investment spike patterns across different sub-industries and food manufacturing industry in general. Our study finds empirical support for the learning-by-doing hypothesis by identifying some cases where the impact of investment spikes on TFP growth presents a U-shaped investment age–productivity growth pattern. However, efficiency and the learning period associated with investment spikes differ among plants across industries. The most pronounced impact of investment age on productivity growth (5.3 % for meat products, 4% for dairy products, and 2.8 % in all food manufacturing plants) occurs during the fifth year of post-investment spike. Thus, in general, the productivity gains tend to be fully realized with a 5-year technology learning period for this industry. Copyright The Author(s) 2013

Suggested Citation

  • Pinar Geylani & Spiro Stefanou, 2013. "Linking investment spikes and productivity growth," Empirical Economics, Springer, vol. 45(1), pages 157-178, August.
    • Handle: RePEc:spr:empeco:v:45:y:2013:i:1:p:157-178
    DOI: 10.1007/s00181-012-0599-8
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    Cited by:

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    5. Godfrey Madigu & Luis A. Gil‐Alana, 2021. "What do productivity indices tell us? A case study of U.S. industries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 4946-4978, October.
    6. Ali, Beshir M. & de Mey, Yann & Oude Lansink, Alfons G.J.M., 2021. "The effect of farm genetics expenses on dynamic productivity growth," European Journal of Operational Research, Elsevier, vol. 290(2), pages 701-717.
    7. Wei Zhang & Long Gao & Mohammad Zolghadr & Dawei Jian & Mohsen ElHafsi, 2023. "Dynamic incentives for sustainable contract farming," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2049-2067, July.
    8. Pinar Celikkol Geylani & Magdalena Kapelko & Spiro E. Stefanou, 2021. "Dynamic productivity change differences between global and non-global firms: a firm-level application to the U.S. food and beverage industries," Operational Research, Springer, vol. 21(2), pages 901-923, June.
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    10. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    11. Ryota Nakatani, 2024. "Food companies' productivity dynamics: Exploring the role of intangible assets," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 185-226, January.
    12. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Milios, John, 2009. "Economic Fluctuations, Cyclical Regularities and Technological Change: The U.S. Food Sector (1958–2006)," MPRA Paper 67115, University Library of Munich, Germany.
    13. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    14. Melina Lamkowsky & Miranda P. M. Meuwissen & Harold A. B. van der Meulen & Frederic Ang, 2024. "How limiting is finance for Dutch dairy farms? A dynamic profit analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 382-403, February.
    15. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.
    16. Ioannis Skevas & Grigorios Emvalomatis & Bernhard Brümmer, 2018. "The effect of farm characteristics on the persistence of technical inefficiency: a case study in German dairy farming," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 3-25.
    17. Geylani, Pinar Celikkol & Park, Timothy A. & Restrepo, Brandon J., 2024. "The Role of Managerial and Organizational Practices in Explaining Productivity Differences: A Study of U.S. Food Manufacturing Firms," 2024 Annual Meeting, July 28-30, New Orleans, LA 343704, Agricultural and Applied Economics Association.
    18. Martin Falk & Sigbjorn Landazuri Tveteraas, 2020. "Modelling the wider effects of ski lift investments," Empirical Economics, Springer, vol. 59(1), pages 259-274, July.
    19. Benedikt Kramer & Anke Schorr & Reiner Doluschitz & Markus Lips, 2019. "Survival Analysis for the Adjustment Phase Following Investment in Swiss Dairy Sheds," Agriculture, MDPI, vol. 9(11), pages 1-8, November.
    20. Wei‐Kang Wang & Wen‐Min Lu & Qian Long Kweh & Hoang Tu Nhi Truong, 2020. "What do U.S. biopharmaceutical companies get from patents and research and development spikes for their dynamic corporate performance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 762-770, July.

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    More about this item

    Keywords

    Productivity growth; Lumpy investments; Micro data; U.S. Food industry; D24; L66; 033;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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