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Environmentally adjusted productivity (EAP); measures for the Nebraska agriculture sector.

机译:经环境调整的生产率(EAP);内布拉斯加州农业部门的措施。

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摘要

Agriculture, one of the most successful sectors in terms of productivity growth, had more than compensated for the rapid growth in demand for the past few decades but with a hidden cost. Agriculture has important effects on the natural environment: it can generate pollutants that reduce the value of the environment for others; and the allocation of resources to agriculture generally excludes their use for recreational and other purposes. To the extent that unpriced natural resource degradation results from agricultural production, traditional empirical measurement of productivity change misrepresents the true change of productivity (or for that matter, the true value to society from technological advance).;The non-parametric approach with its flexibility to handle multi-output and multi-input technologies without prices is a useful tool in computing environmentally adjusted productivity (EAP) measures. The output distance function used to calculate EAP can be defined as the maximum feasible fractional expansion of desirable outputs and fractional contraction of environmental bads given input quantities. The input distance function describing EAP is defined in terms of maximum feasible fractional shrinkage of observed inputs and environmental bads given outputs. A graph measure of EAP is defined in terms of maximum feasible fractional expansion of desirable output and simultaneous fractional shrinkage of environmental bads output and inputs given technology.;The inputs, outputs and the environmental bads data for Nebraska agriculture span from 1936-1994. Six categories of agricultural output, five categories of inputs and three categories of environmental bads (nitrogen surplus, pesticide contamination and wetland losses) are generated and aggregated to be used in estimation of the models.;The results of disaggregate (six outputs and five inputs) output and graph measures did not show any technical change. When data are aggregated into single output and input, the EAP output of technical change measures were 1.921(with excess nitrogen as a bad), 1.175(with pesticide contamination) and 2.225(with wetland losses), lower than the traditional Tornquist-Theil TFP measures of 2.255. A similar pattern is shown by graph measures. The results confirm, that TFP measures overestimate productivity growth if environmental cost are unaccounted, and underestimate them if environmental benefits are ignored.
机译:就生产力增长而言,农业是最成功的部门之一,在过去几十年中,对农业需求的快速增长已经弥补了很多,但却付出了隐性成本。农业对自然环境有重要影响:它会产生污染物,从而降低他人的环境价值;农业的资源分配通常不将其用于娱乐和其他目的。如果说农业生产造成了无法估量的自然资源退化,那么传统的生产力变化的经验测量方法就错误地代表了生产力的真实变化(或者就此而言,代表了技术进步对社会的真实价值)。在没有价格的情况下处理多输出和多输入技术是计算环境调整生产率(EAP)指标的有用工具。可将用于计算EAP的输出距离函数定义为:给定输入量时,理想输出的最大可行的分数扩展和环境不良的分数收缩。描述EAP的输入距离函数是根据观察到的输入和给定输出的环境不良的最大可行分数收缩来定义的。 EAP的图形化度量是根据给定技术的期望产出的最大可行分数扩张和给定技术的环境有害物产出和投入的同时部分收缩来定义的。内布拉斯加州农业的投入,产出和环境危害数据的范围为1936-1994。生成并汇总了六类农业产出,五类投入和三类环境危害(氮过剩,农药污染和湿地流失),以用于模型估计;分解结果(六类产出和五种投入) )的输出和图形度量未显示任何技术变化。当将数据汇总为单个输出和输入时,技术变更措施的EAP输出为1.921(氮过多有害),1.175(农药污染)和2.225(湿地损失),低于传统的Tornquist-Theil TFP测量值为2.255。图形度量显示了类似的模式。结果证实,如果不计入环境成本,TFP会高估生产率增长,而如果忽略环境效益则会低估生产率。

著录项

  • 作者

    Shaik, Saleem.;

  • 作者单位

    The University of Nebraska - Lincoln.;

  • 授予单位 The University of Nebraska - Lincoln.;
  • 学科 Agricultural economics.;Agriculture.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 95 p.
  • 总页数 95
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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