Agric. Econ. - Czech, 2022, 68(3):97-106 | DOI: 10.17221/222/2021-AGRICECON

The relationships between productivity, operational risk, and firm performanceOriginal Paper

Chunhsin Chou1, Joeming Lee*,2, Yingmaw Teng3, Hsiuling Lee4
1 School of International Law, China University of Political Science and Law, Beijing, P.R. China
2 Department of Applied Economics, College of Management, Fo Guang University, Jiaosi Shiang, Taiwan
3 Department of International Business, College of Management, I-Shou University, Kaohsiung City, Taiwan
4 Department of Accounting, College of Management, I-Shou University, Kaohsiung City, Taiwan

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.

Keywords: asymmetric effects; food industry; R&D innovation; stock returns; U-shaped relationship

Published: March 17, 2022  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Chou C, Lee J, Teng Y, Lee H. The relationships between productivity, operational risk, and firm performance. Agric. Econ. - Czech. 2022;68(3):97-106. doi: 10.17221/222/2021-AGRICECON.
Download citation

References

  1. Acemoglu D., Restrepo P. (2018): The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108: 1488-1542. Go to original source...
  2. Arkolakis C., Ramondo N., Rodríguez-Clare A., Yeaple S. (2018): Innovation and production in the global economy. American Economic Review, 108: 2128-73. Go to original source...
  3. Bendickson J., Gur F.A., Taylor E.C. (2018): Reducing environmental uncertainty: How high performance work systems moderate the resource dependence-firm performance relationship. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 35: 252-264. Go to original source...
  4. Bettis R.A., Mahajan V. (1985): Risk/return performance of diversified firms. Management Science, 31: 785-799. Go to original source...
  5. Bloom M., Milkovich G.T. (1998): Relationships among risk, incentive pay, and organizational performance. Academy of Management Journal, 41: 283-297. Go to original source...
  6. Chen J., Heng C.S., Tan B.C., Lin Z. (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, 47: 108-120. Go to original source...
  7. Dai X., Cheng L. (2018): The impact of product innovation on firm-level markup and productivity: Evidence from China. Applied Economics, 50: 4570-4581. Go to original source...
  8. Duncan R.B. (1972): Characteristics of perceived environment and perceived environmental uncertainty. Administrative Science Quarterly, 17: 313-327. Go to original source...
  9. Esteve-Pérez S., Pieri F., Rodriguez D. (2018): Age and productivity as determinants of firm survival over the industry life cycle. Industry and Innovation, 25: 167-198. Go to original source...
  10. Liu Y. (2018): The upward trend in the volatility of firm productivity shocks. Economics Letters, 163: 68-71. Go to original source...
  11. Glaeser S., Michels J., Verrecchia R.E. (2020): Discretionary disclosure and manager horizon: Evidence from patenting. Review of Accounting Studies, 25: 597-635. Go to original source...
  12. Golec J.H., Vernon J.A. (2007): Financial Risk in the Biotechnology Industry. Working Paper No. 13604. Cambridge, US, National Bureau of Economic Research: 1-27. Go to original source...
  13. Gonzalez A., Teräsvirta T., van Dijk D.V. (2005): Panel Smooth Transition Regression Models. SSE/EFI Working Paper Series in Economics and Finance, No. 604. Stockholm School of Economics (SSE)/The Economic Research Institute (EFI): 165.
  14. Kren L., Kerr J.L. (1993). The effect of behaviour monitoring and uncertainty on the use of performance-contingent compensation. Accounting and Business Research, 23: 159-167. Go to original source...
  15. Montani F., Vandenberghe C., Khedhaouria A., Courcy F. (2019): Examining the inverted U-shaped relationship between workload and innovative work behavior: The role of work engagement and mindfulness. Human Relations, 73: 59-93. Go to original source...
  16. Patel P., Pavitt K. (1995): Technological Competencies in the World's Largest Firms: Characteristics, Constraints and Scope for Managerial Choice. Laxenburg, Austria, International Institute for Applied Systems Analysis (IIASA): 32.
  17. Pedersen E.R.G., Gwozdz W., Hvass K.K. (2018): Exploring the relationship between business model innovation, corporate sustainability, and organisational values within the fashion industry. Journal of Business Ethics, 149: 267-284. Go to original source...
  18. Priem R.L., Rasheed A.M., Kotulic A.G. (1995): Rationality in strategic decision processes, environmental dynamism and firm performance. Journal of Management, 21: 913-929. Go to original source...
  19. TEJ (2020): Listed Company Financial Database. [Dataset]. Taiwan Economic Journal Co., Ltd. Available at https://www.tej.com.tw/tejmon/html/f2/f2_default.htm (accessed Apr 20, 2021).

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.