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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/113056
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/113056


    Title: Applying data envelopment analysis and grey model for the productivity evaluation of Vietnamese agroforestry industry
    Authors: Wang, Chia Nan
    Lin, Han Sung
    Hsu, Hsien Pin
    Le, Van Tinh
    Lin, Tsung Fu
    Contributors: 資管系
    Date: 2016
    Issue Date: 2017-09-15 16:10:04 (UTC+8)
    Abstract: Agriculture and forestry play important roles in Vietnam, particularly as they contribute to the creation of food, conservation of forest resources, and improvement of soil fertility. Therefore, understanding the performances of relevant enterprises in this field contributes to the sustainable development of this country`s agroforestry industry. This research proposes a hybrid model, which includes a grey model (GM) and a Malmquist productivity index (MPI), to assess the performances of Vietnamese agroforestry enterprises over several time periods. After collecting the data of selected input and output variables for 10 Vietnam agroforestry enterprises in the period of 2011-2014, GM is used to forecast the future values of these input and output variables for the 10 agroforestry enterprises in 2015 and 2016. Following the results of GM, the MPI is used to measure the performance of these enterprises. The MPI scores showed some enterprises will become more efficient, while others will become less efficient. The proposed model gives past-present-future insights in order for decision-makers to sustain agroforestry development in Vietnam. This hybrid approach can be applied to performance analysis of other industries as well..
    Relation: Sustainability (Switzerland), 8(11), 1139
    Data Type: article
    DOI 連結: http://dx.doi.org/10.3390/su8111139
    DOI: 10.3390/su8111139
    Appears in Collections:[資訊管理學系] 期刊論文

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