IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p12030-d669255.html
   My bibliography  Save this article

Evaluating the Sustainable Operating Performance of Electronics Industry Groups: Taiwanese Firms in Mainland China

Author

Listed:
  • Shu-Chuan Chen

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Da-Sheng Lee

    (Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, Taipei 10608, Taiwan)

  • Chien-Yi Huang

    (Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan)

Abstract

Mainland China’s economy is growing rapidly, with China-made electronic products selling around the world. Taiwan’s electronics groups running operations or production locations in Mainland China have performed strongly in recent years. At one time more than 90% of the world’s laptops were manufactured by Taiwanese makers, largely in China. This study assessed the sustainability operating performance of the top 20 Taiwanese electronic groups (including 272 companies) with an average of 38 years of sustained operation in China, using the Data Envelopment Analysis Method (DEA) to measure the performance and operating efficiency of the group as a whole, with net operating revenue and pre-tax profit margin as the output elements, and total assets, capital, and total expenses as input elements, to assess whether changes in operating performance and productivity over the three-year period (2018–2020) are significant. The results showed that two Taiwanese electronics groups (Quanta Computer and Catcher Technology) were relatively efficient during the study period and that the overall productivity of the electronics groups was in a state of sustainability. This study uses the industrial cluster viewpoint to evaluate the sustainability operating performance of the groups. Results show that using DEA for performance evaluation is both comprehensive and practical. The findings of this study may be used as a reference in creating sustainable operations and improving a firm’s production efficiency through the evaluation of firm resource allocation.

Suggested Citation

  • Shu-Chuan Chen & Da-Sheng Lee & Chien-Yi Huang, 2021. "Evaluating the Sustainable Operating Performance of Electronics Industry Groups: Taiwanese Firms in Mainland China," Sustainability, MDPI, vol. 13(21), pages 1-28, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12030-:d:669255
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/12030/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/21/12030/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2008. "A Retrospective Look at the U.S. Productivity Growth Resurgence," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 3-24, Winter.
    2. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    3. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    4. C. Lovell & Shawna Grosskopf & Eduardo Ley & Jesús Pastor & Diego Prior & Philippe Eeckaut, 1994. "Linear programming approaches to the measurement and analysis of productive efficiency," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 2(2), pages 175-248, December.
    5. Yu, Anyu & Shi, Yu & You, Jianxin & Zhu, Joe, 2021. "Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 292(1), pages 199-212.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Chia-Nan Wang & Han-Khanh Nguyen, 2017. "Enhancing Urban Development Quality Based on the Results of Appraising Efficient Performance of Investors—A Case Study in Vietnam," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    8. Chih-Chin Ho & Hui-Lin Lin & Chih-Hai Yang & Ya-Pin Lyu, 2017. "Productivity Catch-up Between Chinese and Taiwanese Electronics Firms," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 533-553, October.
    9. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang & Kuo-Ren Lou, 2019. "Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company," Sustainability, MDPI, vol. 11(5), pages 1-14, February.
    10. Oliner, Stephen D. & Sichel, Daniel E., 2003. "Information technology and productivity: where are we now and where are we going?," Journal of Policy Modeling, Elsevier, vol. 25(5), pages 477-503, July.
    11. Petr Hájek & Jan Stejskal, 2018. "R&D Cooperation and Knowledge Spillover Effects for Sustainable Business Innovation in the Chemical Industry," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    12. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    13. Ki Han Song & Solsaem Choi & Ik Hyun Han, 2020. "Competitiveness Evaluation Methodology for Aviation Industry Sustainability Using Network DEA," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    14. Rocsana Bucea-Manea-Țoniş & Viktor Prokop & Dragan Ilic & Elena Gurgu & Radu Bucea-Manea-Țoniş & Cezar Braicu & Alina Moanță, 2021. "The Relationship between Eco-Innovation and Smart Working as Support for Sustainable Management," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    15. Kar Yan Tam, 1998. "The Impact of Information Technology Investments on Firm Performance and Evaluation: Evidence from Newly Industrialized Economies," Information Systems Research, INFORMS, vol. 9(1), pages 85-98, March.
    16. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    17. Chenghua Guan & Ye Fan, 2020. "The Impact of Social Networks on the Operating Efficiency of Chinese Technology Business Incubators," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    18. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    19. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    20. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    21. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    22. Jana Hojnik & Mitja Ruzzier & Maja Konečnik Ruzzier, 2019. "Transition towards Sustainability: Adoption of Eco-Products among Consumers," Sustainability, MDPI, vol. 11(16), pages 1-29, August.
    23. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    24. Pourya Pourhejazy & Oh Kyoung Kwon & Young-Tae Chang & Hyosoo (Kevin) Park, 2017. "Evaluating Resiliency of Supply Chain Network: A Data Envelopment Analysis Approach," Sustainability, MDPI, vol. 9(2), pages 1-19, February.
    25. Yang Lin & Longzhong Yan & Ying-Ming Wang, 2019. "Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    26. Sriram Narayanan & Jayashankar M. Swaminathan & Srinivas Talluri, 2014. "Knowledge Diversity, Turnover, and Organizational-Unit Productivity: An Empirical Analysis in a Knowledge-Intensive Context," Production and Operations Management, Production and Operations Management Society, vol. 23(8), pages 1332-1351, August.
    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. Chui-Yu Chiu & William Tang, 2022. "Measuring the Operational Efficiency and the Water Resources Management Efficiency for Industrial Parks: Empirical Study of Industrial Parks in Taiwan," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    2. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.

    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. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    2. Shao, Benjamin B.M. & Lin, Winston T., 2016. "Assessing output performance of information technology service industries: Productivity, innovation and catch-up," International Journal of Production Economics, Elsevier, vol. 172(C), pages 43-53.
    3. José Solana‐Ibáñez & Manuel Caravaca‐Garratón & Ricardo Teruel‐Sánchez, 2020. "Stakeholder perception on corporate reputation and management efficiency: Evidence from the Spanish Defence sector," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2381-2399, September.
    4. Reuben Elan & Verma Bharat Bhushan & Bhat Ramesh, 2001. "Hospital Efficiency: An Empirical Analysis of District and Grant-in-Aid Hospitals in Gujarat," IIMA Working Papers WP2001-07-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    5. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    6. Lin, Winston T. & Chiang, Chung-Yean, 2011. "The impacts of country characteristics upon the value of information technology as measured by productive efficiency," International Journal of Production Economics, Elsevier, vol. 132(1), pages 13-33, July.
    7. Harald Dyckhoff & Katrin Allen, 1999. "Theoretische Begründung einer Effizienzanalyse mittels Data Envelopment Analysis (DEA)," Schmalenbach Journal of Business Research, Springer, vol. 51(5), pages 411-436, May.
    8. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
    9. Wai‐Peng Wong & Qiang Deng & Ming-Lang Tseng & Loo‐Hay Lee & Chee‐Wooi Hooy, 2014. "A Stochastic Setting To Bank Financial Performance For Refining Efficiency Estimates," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 225-245, October.
    10. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    11. Zhiguang ZHANG & Haiqing HU & Winston T. LIN, 2019. "Analyzing the Impacts of Unobserved National Characteristics on Economic Performance of Information Technology based on a Partial Adjustment Approach With Dynamic and Variable Speed of Adjustment," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 128-142, March.
    12. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    13. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    14. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    15. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    16. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    17. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
    18. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    19. Perrigot, Rozenn & Barros, Carlos Pestana, 2008. "Technical efficiency of French retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 296-305.
    20. Carlos Pestana Barros & Maria Teresa Medeiros Garcia, 2006. "Performance Evaluation of Pension Funds Management Companies with Data Envelopment Analysis," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 9(2), pages 165-188, September.

    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:gam:jsusta:v:13:y:2021:i:21:p:12030-:d:669255. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.