IDEAS home Printed from https://ideas.repec.org/a/caa/jnlage/v68y2022i3id222-2021-agricecon.html
   My bibliography  Save this article

The relationships between productivity, operational risk, and firm performance

Author

Listed:
  • Chunhsin Chou

    (School of International Law, China University of Political Science and Law, Beijing, P.R. China)

  • Joeming Lee

    (Department of Applied Economics, College of Management, Fo Guang University, Jiaosi Shiang, Taiwan)

  • Yingmaw Teng

    (Department of International Business, College of Management, I-Shou University, Kaohsiung City, Taiwan)

  • Hsiuling Lee

    (Department of Accounting, College of Management, I-Shou University, Kaohsiung City, Taiwan)

Abstract

The aim of this study was to revisit the relationship between productivity and performance by using the panel data model on Taiwanese food listed firms during 2008-2020. The result found that there is a U-shaped relationship between productivity and performance. On the contrary, research and development (R&D) innovation and performance have an inverse U-shaped relationship, reminding that when the food listed firms have a specific R&D innovation base, they should invest more powerful resources, professional productivity, and innovate the food listed firms.

Suggested Citation

  • Chunhsin Chou & Joeming Lee & Yingmaw Teng & Hsiuling Lee, 2022. "The relationships between productivity, operational risk, and firm performance," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(3), pages 97-106.
  • Handle: RePEc:caa:jnlage:v:68:y:2022:i:3:id:222-2021-agricecon
    DOI: 10.17221/222/2021-AGRICECON
    as

    Download full text from publisher

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/222/2021-AGRICECON.html
    Download Restriction: free of charge

    File URL: http://agricecon.agriculturejournals.cz/doi/10.17221/222/2021-AGRICECON.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/222/2021-AGRICECON?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiaoyong Dai & Liwei Cheng, 2018. "The impact of product innovation on firm-level markup and productivity: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4570-4581, September.
    2. Silviano Esteve-Pérez & Fabio Pieri & Diego Rodriguez, 2018. "Age and productivity as determinants of firm survival over the industry life cycle," Industry and Innovation, Taylor & Francis Journals, vol. 25(2), pages 167-198, February.
    3. Esben Rahbek Gjerdrum Pedersen & Wencke Gwozdz & Kerli Kant Hvass, 2018. "Exploring the Relationship Between Business Model Innovation, Corporate Sustainability, and Organisational Values within the Fashion Industry," Journal of Business Ethics, Springer, vol. 149(2), pages 267-284, May.
    4. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    5. Chen, Jin & Heng, Cheng Suang & Tan, Bernard C.Y. & Lin, Zhijie, 2018. "The distinct signaling effects of R&D subsidy and non-R&D subsidy on IPO performance of IT entrepreneurial firms in China," Research Policy, Elsevier, vol. 47(1), pages 108-120.
    6. Liu, Yunting, 2018. "The upward trend in the volatility of firm productivity shocks," Economics Letters, Elsevier, vol. 163(C), pages 68-71.
    7. Stephen Glaeser & Jeremy Michels & Robert E. Verrecchia, 2020. "Discretionary disclosure and manager horizon: evidence from patenting," Review of Accounting Studies, Springer, vol. 25(2), pages 597-635, June.
    8. Richard A. Bettis & Vijay Mahajan, 1985. "Risk/Return Performance of Diversified Firms," Management Science, INFORMS, vol. 31(7), pages 785-799, July.
    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. R Chitra & N L Balasudarsun & M Sathish & R Jagajeevan, 2023. "Supply chain modelling in organic farming for sustainable profitability," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(6), pages 255-266.

    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. Li, Xu & Vermeulen, Freek, 2021. "High risk, low return (and vice versa): the effect of product innovation on firm performance in a transition economy," LSE Research Online Documents on Economics 120268, London School of Economics and Political Science, LSE Library.
    2. Dennis C. Hutschenreiter & Tommaso Santini & Eugenia Vella, 2022. "Automation and sectoral reallocation," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 335-362, May.
    3. Josten, Cecily & Lordan, Grace, 2019. "Robots at Work: Automatable and Non Automatable Jobs," IZA Discussion Papers 12520, Institute of Labor Economics (IZA).
    4. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    5. Kyoji Fukao & Cristiano Perugini, 2021. "The Long‐Run Dynamics of the Labor Share in Japan," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 445-480, June.
    6. Deng Xu & Yong Long, 2019. "The Impact of Government Subsidy on Renewable Microgrid Investment Considering Double Externalities," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    7. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    8. Qiansheng Gong & Xiangyu Wang & Xi Tang, 2023. "How Can the Development of Digital Economy Empower Green Transformation and Upgrading of the Manufacturing Industry?—A Quasi-Natural Experiment Based on the National Big Data Comprehensive Pilot Zone ," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    9. Daniele Angelini, 2023. "Aging Population and Technology Adoption," Working Paper Series of the Department of Economics, University of Konstanz 2023-01, Department of Economics, University of Konstanz.
    10. Huang, Siyu & Shi, Yi & Chen, Qinghua & Li, Xiaomeng, 2022. "The growth path of high-tech industries: Statistical laws and evolution demands," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    11. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    12. Stephan Brunow & Stefanie Lösch & Ostap Okhrin, 2022. "Labor market tightness and individual wage growth: evidence from Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-21, December.
    13. Engberg, Erik & Görg, Holger & Lodefalk, Magnus & Javed, Farrukh & Längkvist, Martin & Monteiro, Natália & Kyvik Nordås, Hildegunn & Pulito, Giuseppe & Schroeder, Sarah & Tang, Aili, 2023. "AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries," Ratio Working Papers 370, The Ratio Institute.
    14. Elango, B., 2010. "Influence of industry type on the relationship between international operations and risk," Journal of Business Research, Elsevier, vol. 63(3), pages 303-309, March.
    15. Akaev, Askar & Devezas, Tessaleno & Ichkitidze, Yuri & Sarygulov, Askar, 2021. "Forecasting the labor intensity and labor income share for G7 countries in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    16. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    17. Fabian Stephany & Ole Teutloff, 2022. "What is the Price of a Skill? The Value of Complementarity," Papers 2210.01535, arXiv.org, revised Nov 2023.
    18. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    19. Broccardo, Laura & Vola, Paola & Zicari, Adrian & Alshibani, Safiya Mukhtar, 2023. "Contingency-based analysis of the drivers and obstacles to a successful sustainable business model: Seeking the uncaptured value," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    20. Baoliang Hu & Wei Huang & Shuai Yan & Guang Liu & Tao Zhang, 2020. "Business Model Design and Customer Loyalty: The Mediating Role of Customer Citizenship Behavior," Sustainability, MDPI, vol. 12(17), pages 1-14, August.

    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:caa:jnlage:v:68:y:2022:i:3:id:222-2021-agricecon. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.