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Nonparametric measures of efficiency in the presence of undesirable outputs: a by-production approach

机译:在出现不良输出时的非参数效率度量:一种副产品方法

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摘要

In empirical research on productivity measurement adjusted for undesirable outputs on the side, the good and the bad outcomes are treated as joint products of the underlying production process. In the present paper, following Murty, Russell, and Levkoff, we conceptualize the good output as technologically separable from the bad output. Joint disposability is assumed between the bad output and the polluting input, rather than weak disposability and null jointness between the good and bad outputs. Moreover, we set up an integrated DEA optimization problem over the intersection of these two subtechnologies to measure the efficiency of a firm that produces a bad output alongside the good output. In an empirical illustration of our methodology, we use country-level data for an unbalanced panel of 64 countries over the years 1986 through 2011 where per capita GDP is the good and per capita CO_2 emission is the bad output. We then utilize our DEA results to compute opportunity costs of a targeted reduction in CO_2 emission in terms of required dollar amounts of reduction in per capita GDP for the individual countries in selected years.
机译:在针对侧面的不良产出进行调整的生产率测量的实证研究中,好的和坏的结果被视为基础生产过程的联合产物。在本文中,我们将继Murty,Russell和Levkoff之后,从技术上将不良产出与不良产出分离开来。假定不良产出与污染输入之间存在联合处置能力,而不是弱处置与好产出与不良产出之间的零联合性。此外,我们在这两种子技术的交集上设置了一个集成的DEA优化问题,以衡量产生不良产出和良好产出的企业的效率。在对我们的方法进行的经验说明中,我们使用了1986年至2011年间由64个国家/地区组成的不平衡面板的国家/地区数据,其中人均GDP不错,而人均CO_2排放则不好。然后,我们使用DEA结果来计算目标国家在选定年份中人均GDP减少所需的美元金额,从而有针对性地减少CO_2排放的机会成本。

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