SavedAdd your journal

Journals / Textile and Apparel / 2023 / Cilt: 33 Sayı: 3

Analyzing Efficiency and Productivity Changes of Turkish Textile Firms

Başak APAYDIN AVŞAR
Önder BELGİN
Pages
294–304
Publication Date
2023-09-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study contributes to the literature with covering seven-year period including COVID-19 pandemic period in the analyses.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study addresses the analyzing of efficiency and productivity change of 19 Turkish textile firms for the period 2014-2020 which are quoted to stock market.
📊
Key Findings & Data:According to results, none of the firms increased their total factor productivity through 2014 to 2020.
💡
Conclusion & Impact:This study contributes to the literature with covering seven-year period including COVID-19 pandemic period in the analyses.
🔬Design:Modeling & Simulation
📍Scope:2014-2020 Verileri
⚙️Variables:Data envelopment analysis · Malmquist productivity index · textile industry

Abstract

This study addresses the analyzing of efficiency and productivity change of 19 Turkish textile firms for the period 2014-2020 which are quoted to stock market. For the efficiency analysis super-efficiency DEA model is employed which contains three inputs and two outputs. The efficiency results are given in yearly base. For productivity analysis stage Malmquist Productivity Index is used including TECI, TCI and TFPI values. According to results, none of the firms increased their total factor productivity through 2014 to 2020. Furthermore, there isn’t any significant difference between the average of efficiency, TECI, TCI and TFPI values before and during COVID-19 pandemic. This study contributes to the literature with covering seven-year period including COVID-19 pandemic period in the analyses.

🔖

Cite This Article

AVŞAR, B. A., BELGİN, Ö. (2023). Analyzing Efficiency and Productivity Changes of Turkish Textile Firms. Textile and Apparel, Cilt: 33 Sayı: 3, 294–304. https://ajindex.com/articles/963366

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Apan, M., Alp, İ., Öztel, A. (2019). Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis, Sosyoekonomi, 27(42), 107-128.
  2. Caves, D., Christensen, L., Diewert, W.E. (1982). The economic theory of index numbers and the measurement of input, output, and productivity, Econometrica, 50(6), 1393-1414.
  3. Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision-making units, European Journal of Operational Research, 2, 429–444.
  4. Çekiç, B., Menten, C., Atıcı, K.B. (2020). Türkiye Tarım Sektöründe Ürünler Bazında Etkinlik Değerlendirmesi, Verimlilik Dergisi, 1, 117-141.
  5. Çetin, A. C. (2006). Türk Tekstil Sektörü ve Türk Tekstil Firmalarının Etkinlik Düzeylerinin Belirlenmesi, Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(2), 255-278.
  6. Erdumlu, N. (2016). Efficiency benchmarking based on data envelopment analysis: a case for Turkish textile sector, The Journal of The Textile Institute, 107(6), 702-710.
  7. Farrell, M. J. (1957). The measurement of productive efficiency, Journal of the Royal Statistical Society, 120, 253-290.
  8. Gambhir, D., Sharma, S. (2015) Are exporting firms more productive in the Indian textile industry?, Measuring Business Excellence, 19(4), 72-84.
  9. Gambhir, D., Sharma, S. (2015). Productivity in Indian manufacturing: evidence from the textile industry, Journal of Economic and Administrative Sciences, 31(2), 71-85.
  10. Goyal, J., Singh, R., Kaur, H., Singh, K. (2018). Intra-industry efficiency analysis of Indian textile industry: a meta-frontier DEA approach, International Journal of Law and Management, 60(6), 1448-1469.
  11. Ho, C-H. (2013). Applying data envelopment analysis to operating performance in textile industry, AUTEX Research Journal, 13(4), 99-103.
  12. Jahanshahloo, G.R., Khodabakhshi, M. (2004). Suitable combination of inputs for improving outputs in DEA with determining input congestion considering textile industry of China, Applied Mathematics and Computation 151, 263–273.
  13. Jiang, L., Folmer, H., Bu, M. (2016). Interaction between output efficiency and environmental efficiency: evidence from the textile industry in Jiangsu Province, China, Journal of Cleaner Production 113, 123-132.
  14. Kahveci, E. (2012). Kaynak Temelli Strateji ve İhracat Perfonmansı: Tekstil İşletmeleri Üzerinde Veri Zarflama Analizi ile Bir Uygulama, Ankara Üniversitesi SBF Dergisi, 67(2), 29-67.
  15. Kapelko, M., Lansink, A.O. (2014). An international comparison of productivity change in