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Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach

Author

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  • Han-Khanh Nguyen

    (Faculty of Economics, Thu Dau Mot University, Number 6, Tran Van On Street, Phu Hoa Ward, Thu Dau Mot 590000, Vietnam)

  • Mai-Nam Vu

    (Graduate Training Institute, Thu Dau Mot University, Number 6, Tran Van On Street, Phu Hoa Ward, Thu Dau Mot 590000, Vietnam)

Abstract

The COVID-19 pandemic impacted many socio-economic areas of countries around the world. It has made the production and business situations of enterprises face substantial difficulties. In this study, the authors used data envelopment analysis (DEA) models to assess the impact of the COVID-19 pandemic on Vietnam’s textile and garment enterprises. The authors have used the binary logistic model to determine the factors affecting employees’ decision to change jobs in the textile industry. The research results showed that the COVID-19 pandemic greatly affected the business performance of the textile and garment enterprises in Vietnam. Moreover, the results helped identify the factors affecting employee turnover and proposed solutions to help businesses stabilize their personnel situation and develop sustainable businesses in the post-COVID-19 era.

Suggested Citation

  • Han-Khanh Nguyen & Mai-Nam Vu, 2021. "Assess the Impact of the COVID-19 Pandemic and Propose Solutions for Sustainable Development for Textile Enterprises: An Integrated Data Envelopment Analysis-Binary Logistic Model Approach," JRFM, MDPI, vol. 14(10), pages 1-23, October.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:465-:d:649005
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    References listed on IDEAS

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    1. Tien-Muoi Le & Chia-Nan Wang & Han-Khanh Nguyen, 2020. "Using the optimization algorithm to evaluate and predict the business performance of logistics companies–a case study in Vietnam," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4196-4212, July.
    2. Yu, Ming-Miin & Lin, Chung-I & Chen, Kuan-Chen & Chen, Li-Hsueh, 2021. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach," Omega, Elsevier, vol. 98(C).
    3. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    4. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    5. Cristian Negrutiu & Cristinel Vasiliu & Calcedonia Enache, 2020. "Sustainable Entrepreneurship in the Transport and Retail Supply Chain Sector," JRFM, MDPI, vol. 13(11), pages 1-12, November.
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    1. Chiang Kao & Yuan-Ying Wang & Tsai-Chi Ho & Yu-Shian Chen & Ping-Chieh Chen, 2022. "The Impact Of Covid-19 On The Productivity Of Large Companies In Taiwan," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 16(1), pages 30-40.

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