淡江大學機構典藏:Item 987654321/122926
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122926


    Title: A Comparative Analysis of Slack‑Based Green Total Factor Productivity in China: a Directional Distance Function
    Authors: Zhang, Xuping;Chen, Xiang;Lu, Ching‑Cheng;Cheng, Fu‑Yueh
    Keywords: Green total factor productivity;Slack-based directional distance function Energy;Productivity distributions;Waste
    Date: 2021-11-04
    Issue Date: 2023-04-28 16:26:50 (UTC+8)
    Publisher: Springer Netherlands
    Abstract: Improving the accuracy of the green total
    factor productivity (GTFP) calculation has certain
    theoretical and practical value for sustainable development.
    We use a slack-based directional distance
    function (DDF) proposed by Färe and Grosskopf
    (European Journal of Operational Research 200:320-
    322, Färe and Grosskopf, European Journal of Operational
    Research 200:320–322, 2010) to combine with
    Malmquist-Luenberger Productivity Index (MLPI) to
    re-examine the GTFP. This new GTFP index takes
    inputs such as energy consumption, labor, and capital
    stock into account, while considering the comprehensive
    outputs of real GDP and three types of industrial
    wastes (gas, solid, water). The proposed slack-based MLPI is applied to access GTFP changes and compare
    the results under the slack-based DDF measure
    and original DDF measure over the period 2005–
    2012. The primary results in this paper present the
    average growth of GTFP for these 30 Chinese provinces
    shows a downward trend until 2010 suggesting
    that most provinces pay less attention on the productivity
    growth. The downward trend results primarily
    from no significant improvement in technical change.
    We also discover that although the distributions of the
    slack-based measure are roughly similar with that of
    the original DDF, the decomposed component, efficiency
    change, shows a significant difference between
    them.
    Relation: Water, air, and soil pollution 2021 232(11) ,p.466
    DOI: 10.1007/s11270-021-05373-z
    Appears in Collections:[財務金融學系暨研究所] 期刊論文

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