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Measuring Technical Efficiency and Returns to Scale in Taiwan’s Baking Industry―A Case Study of the 85 °C Company

Author

Listed:
  • Chieh-Wen Chang

    (Department of Management Sciences, Tamkang University, Taipei 25137, Taiwan
    Executive Director of Gourmet Master Co., Ltd., Taichung 40850, Taiwan)

  • Kun-Shan Wu

    (Department of Business Administration, Tamkang University, Taipei 25137, Taiwan)

  • Bao-Guang Chang

    (Department of Accounting, Tamkang University, Taipei 25137, Taiwan)

  • Kuo-Ren Lou

    (Department of Management Sciences, Tamkang University, Taipei 25137, Taiwan)

Abstract

Under an intense internationally competitive business environment, it is important to understand the production efficiency of the baking industry, where efficient management is becoming increasingly important to ensure the sustainable development of the company. Thus, this study uses data envelopment analysis (DEA) to appraise the performance of a well-known baking company (85 °C) and uses input and output constructs to measure its technical efficiency and scale efficiency scores to understand the major reasons for efficiency losses from 2011 to 2016. The empirical results indicate that low technical efficiency is the major reason for lower pure technical efficiency, since the scale efficiency is higher than pure technical efficiency. This means 85 °C is still improving overall operating efficiency and space efficiency. Moreover, the results also show that the III-generation operations style is more technically efficient and pure-technically efficient compared to those of I-generation and II-generation. Furthermore, the company’s financial performance is dependent upon the producer’s ability to stay on the production frontier due to the result of a positive relationship between return on assets (ROA) and technical efficiency. Last but not least, this study shows that 85 °C can gain higher performance and efficiency by enhancing technical efficiency and reinforcing strategic alignments with business goals.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1268-:d:209620
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    as
    1. Pinar Celikkol Geylani & Spiro Stefanou, 2011. "Productivity growth patterns in US dairy products manufacturing plants," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3415-3432.
    2. Athanasoglou, Panayiotis P. & Brissimis, Sophocles N. & Delis, Matthaios D., 2008. "Bank-specific, industry-specific and macroeconomic determinants of bank profitability," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(2), pages 121-136, April.
    3. Brenda González-Hermosillo & Ceyla Pazarbaşioğlu & Robert Billings, 1997. "Determinants of Banking System Fragility: A Case Study of Mexico," IMF Staff Papers, Palgrave Macmillan, vol. 44(3), pages 295-314, September.
    4. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    5. Dimitrios Giokas & Nicolaos Eriotis & Ioannis Dokas, 2015. "Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1927-1941, April.
    6. 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.
    7. Mukesh Kumar & Partha Basu, 2008. "Perspectives of productivity growth in Indian food industry: a data envelopment analysis," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(7), pages 503-522, September.
    8. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2017. "The impact of the 2008 financial crisis on dynamic productivity growth of the Spanish food manufacturing industry. An impulse response analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 48(5), pages 561-571, September.
    9. 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.
    10. Dimara, Efthalia & Skuras, Dimitris & Tsekouras, Kostas & Tzelepis, Dimitris, 2008. "Productive efficiency and firm exit in the food sector," Food Policy, Elsevier, vol. 33(2), pages 185-196, April.
    11. Han-Shen Chen & Bi-Kun Tsai & Gwo-Bao Liou & Chi-Ming Hsieh, 2018. "Efficiency Assessment of Inbound Tourist Service Using Data Envelopment Analysis," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
    12. Anthony N. Rezitis & Maria A. Kalantzi, 2016. "Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 254-271, April.
    13. 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.
    14. Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.
    15. Ali, Jabir & Singh, Surendra P. & Ekanem, Enefiok P., 2009. "Efficiency and Productivity Changes in the Indian Food Processing Industry: Determinants and Policy Implications," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 12(1), pages 1-24, February.
    16. Magdalena Kapelko, 2019. "Measuring productivity change accounting for adjustment costs: evidence from the food industry in the European Union," Annals of Operations Research, Springer, vol. 278(1), pages 215-234, July.
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    6. Gowangwoo Park & Seok-Kee Lee & Kanghwa Choi, 2021. "Evaluating the Service Operating Efficiency and Its Determinants in Global Consulting Firms: A Metafrontier Analysis," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

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