Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/125131
DC FieldValueLanguage
dc.contributor東南亞語言與文化學士學位學程
dc.creator黎氏仁
dc.creatorLe, Thi-Nham
dc.creatorWang, Chia-Nan
dc.date2017-03
dc.date.accessioned2019-08-13T01:34:17Z-
dc.date.available2019-08-13T01:34:17Z-
dc.date.issued2019-08-13T01:34:17Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/125131-
dc.description.abstractThe impressive growth of the Vietnam textile and apparel industry has led to some concerns due to its insufficient value chain and fierce competition within the industry. Thus, performance evaluation is significant issue to estimate the values of companies over time. Firstly, the grey prediction is used to forecast future data for 20 largest enterprises in six years (2016–2021) based on actual indicators. Then, the paper uses Malmquist productivity index and its decomposition into efficiency and technical change to measure the past productivity growth. Finally, window analysis is applied to significantly detect the trends of performance in 12 years (2010–2021) from large number of inputs and outputs. The results are found that how technology changes is the determinant for productivity growth and undeveloped technology causes a huge barrier to industry. In addition, the results are illustrated that textile companies are predicted to be more stable due to the importance of supplying materials for the entire industry. This paper aims to prove in-depth analysis can be conducted through combined models and also provide some recommendations for enhancing the sustainability performance of the industry
dc.format.extent1976061 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationSustainability, Vol.9, No.3, 477
dc.subjectgrey prediction; Malmquist productivity index; window analysis; Vietnam textile and apparel industry; performance evaluation; sustainability performance
dc.titleThe Integrated Approach for Sustainability Performance Evaluation in Value Chain of Vietnam Textile and Apparel Industry
dc.typearticle
dc.identifier.doi10.3390/su9030477
dc.doi.urihttps://doi.org/10.3390/su9030477
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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