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Generation and distribution of the total factor productivity gains in US industries

Author

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  • Jean-Philippe Boussemart
  • Hervé Leleu
  • Edward Mensah

Abstract

This study estimates productivity gains and their distribution among inputs and outputs for 63 American industries over the period 1987–2012. Using the traditional surplus accounting method, the Total Factor Productivity (TFP) growth rates are divided into their price change components in order to determine the stakeholders who do or do not receive price advantages.An initial analysis showed that TFP of US industries increased at an average trend of 0.8% and established that remunerations to employees and firms’ profitability constituted 49% and 39%, respectively, of the accumulated economic surplus from the productivity gains. Suppliers of intermediate inputs retained 12.1% of the surplus. Finally, customers, equipment and structure providers were the losers in the distribution of economic surplus via, respectively, a significant growth of relative final demand prices and a substantial price decrease of these assets.A second step analysis underlined that industries with high TFP growth rates mainly benefited customers and firms via output price decreases and profitability improvements while industries with low or negative TFP changes hurt customers through significant output price increases. The sectoral level analysis also showed that employees’ remunerations depend only slightly on productivity gains produced within their industrial sectors.

Suggested Citation

  • Jean-Philippe Boussemart & Hervé Leleu & Edward Mensah, 2017. "Generation and distribution of the total factor productivity gains in US industries," Applied Economics, Taylor & Francis Journals, vol. 49(24), pages 2379-2393, May.
  • Handle: RePEc:taf:applec:v:49:y:2017:i:24:p:2379-2393
    DOI: 10.1080/00036846.2016.1240344
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    Cited by:

    1. Boussemart, Jean-Philippe & Leleu, Hervé & Mensah, Edward & Shitikova, Karina, 2020. "Technological catching-up and structural convergence among US industries," Economic Modelling, Elsevier, vol. 84(C), pages 135-146.
    2. Tomas Balezentis & Vaida Sapolaite, 2022. "Productivity surplus and its distribution in Lithuanian agriculture," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(3), pages 721-740, August.
    3. Arnaud Sergent & Jean-François Ruault & Vincent Banos & Mathieu Nefe & David Chen & Anne-Laure Levet & Wilfried Eliegbo Amouzou, 2018. "La compétitivité des filières locales pour la construction bois : état des lieux, enjeux et perspectives d’évolution," Working Papers hal-03277129, HAL.

    More about this item

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution

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