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首页> 外文期刊>European Journal of Operational Research >A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China
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A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China

机译:一种改进的Malmist-Luenberger生产力指数:评估中国的环境生产力表现

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The Malmquist-Luenberger (M-L) index has been used to assess environmental productivity growth with undesirable outputs, through applying directional distance function (DDF) to standard Malmquist productivity measurement. However, when calculating the cross-period DDFs, the M-L index has the same infeasibility problem as the Malmquist index does. To address this infeasibility problem, this paper discusses when infeasibility may happen and develops a modified M-L index that is based on a new DDF. We propose that the modified M-L index can be applied to assessing environmental performance at both macro-and micro-levels. At a macro-level, we evaluate China's growth in total factor productivity (TFP) from 1999 to 2012, accounting for undesirable impacts. The results show that technical change is the main driver of most TFP growth. The TFP changes support the status quo of a distinct gap in economic development among different regions. At a micro-level, we assess Chinese auto manufacturers' environmental performance from 2005 to 2012. The results suggest that Chinese automakers have enjoyed a noticeable TFP improvement, and that technical change is the major contributor as well. Taking together, reducing air emissions and other pollutants is an effective way of improving environmental productivity. As demonstrated, the proposed modified M-L index has proved to be consistently feasible and guarantees non-negative reference targets for all metrics. As a result, we recommend the modified M-L index as a robust tool for solving the infeasibility problem that is typical in conventional index and for assessing productivity under environmental impacts. Published by Elsevier B.V.
机译:Malmitmist-Luenberger(M-L)指数已被用于评估环境生产率的增长与不良输出,通过将定向距离功能(DDF)应用于标准的Malmquist生产力测量。但是,在计算跨周期DDFS时,M-L索引具有与MalmQuist索引的相同的不可行结构问题。为了解决这种不可行的问题,本文讨论了不可发挥的发生并开发基于新DDF的修改后的M-L索引。我们建议改进的M-L指数可以应用于评估宏观和微观级别的环境性能。在宏观级别,我们从1999年到2012年评估了中国总因素生产力(TFP)的增长,占不良影响。结果表明,技术变化是大多数TFP增长的主要驱动因素。 TFP改变支持不同地区经济发展中不同差距的现状。在微观级别,我们从2005年到2012年评估了中国汽车制造商的环境表现。结果表明,中国汽车制造商享有明显的TFP改进,以及技术变革也是主要的贡献者。在一起,减少空气排放和其他污染物是一种改善环境生产力的有效方式。如所示,已拟议的修改的M-L指数证明是一致的可行性,并保证所有指标的非负面参考目标。因此,我们建议改进的M-L指数作为解决常规指标中典型的典型的稳健工具,并用于评估环境影响的生产率。由elsevier b.v出版。

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