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Economies of scale for data envelopment analysis with a Kansas farm application.

机译:使用堪萨斯农场应用程序进行数据包络分析的规模经济。

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摘要

stimation of cost functions can provide useful economic information to producers, economists, and policy makers. From the estimation of a cost function, it is possible to calculate cost efficiency, economies of scope, and economies of scale. Economic theory specifies the cost function as a frontier since firms cannot operate at lower cost than the cost minimizing input/output bundle. However, traditional parametric estimation techniques often violate economic theory using two sided-error systems. The stochastic frontier method has allowed the estimation of a frontier but continues to restrict the technology through functional assumption.;Nonparametric frontier estimation is an alternative approach to estimate a cost frontier by enveloping the data which by its construct, conforms to economic theory. This research expands the economic information available by deriving multi-product scale economies and product-specific scale economies from the nonparametric approach. It also tests its ability to accurately recover theses important economic measures under different assumptions of the cost function, and cost inefficiency distributions. Next, this new method is compared to other methods used to estimate cost functions and associated economic measures including a two-sided error system, stochastic frontier method, and an OLS model restricting the errors to take on only positive values. Finally, the nonparametric approach with the new measures is applied to a sample of Kansas farms.;The nonparametric approach is able to closely estimate economies of scale and scope from estimation of a cost frontier. Comparison reveals that the nonparametric approach is closer to the "true" economic measures than some parametric methods and that it is better able to extrapolate out of sample when there are no zero output firms. Finally, the nonparametric approach shows that potential cost savings from economies of scale and economies of scope exist for small Kansas farms. However, cost savings from economies of scale become exhausted when farms exceed gross annual revenues of
机译:成本函数的优化可以为生产者,经济学家和政策制定者提供有用的经济信息。根据成本函数的估计,可以计算成本效率,范围经济和规模经济。经济学理论将成本函数指定为前沿,因为企业的经营成本不能低于使投入/产出捆绑的成本最小化。然而,传统的参数估计技术经常违反使用两侧误差系统的经济理论。随机边界方法已允许对边界进行估计,但仍通过功能假设限制了该技术。非参数边界估计是一种通过封装其构造符合经济理论的数据来估计成本边界的替代方法。这项研究通过从非参数方法推导多产品规模经济和特定产品规模经济,扩展了可用的经济信息。它还测试了其在成本函数和成本低效分布的不同假设下准确地恢复这些重要经济措施的能力。接下来,将该新方法与用于估算成本函数和相关经济措施的其他方法进行比较,包括双向误差系统,随机前沿方法和将误差限制为仅取正值的OLS模型。最后,将具有新措施的非参数方法应用于堪萨斯州农场的样本。非参数方法能够根据成本边界的估计来紧密估计规模经济和范围经济。比较表明,与某些参数方法相比,非参数方法更接近“真实”经济计量,并且在没有零产出公司的情况下,非参数方法能够更好地从样本中推断出来。最后,非参数方法表明,堪萨斯州的小型农场存在规模经济和范围经济带来的潜在成本节省。但是,当农场的年度总收入超过

著录项

  • 作者

    Parman, Bryon James.;

  • 作者单位

    Kansas State University.;

  • 授予单位 Kansas State University.;
  • 学科 Economics Agricultural.;Economics Theory.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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