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Issues involved in groundwater withdrawals and pollution of the Ogallala: Evidence from West Texas.

机译:与奥加拉拉的地下水抽取和污染有关的问题:来自西德克萨斯的证据。

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摘要

The existing body of economic research dealing with groundwater extraction seems to focus only on that problem itself and does not view the exploitation of the aquifer and the corresponding pollution problem as a joint resource issue. This research attempts to fill in this gap, with the main objective being to assess the economic tradeoffs involved in groundwater quantity and quality management by capturing the dynamic behavior of the stock of groundwater as well as the stock of pollutant over a twenty year time period. The study uses simulated data for the estimation of production functions and nitrogen percolation functions and those estimates are used in a dynamic optimization framework to find out the level of water and nitrogen fertilizer applied per acre that maximizes net present value over a twenty year planning horizon. The research concludes with a proposed agent based trading scenario on the lines of Vernon Smith's water deeds approach where two agents using the same inputs for production are allowed to trade after allocation of an initial set of permits for water withdrawal. The impact on the level and quality of water as well as the individual net revenues turns out to be superior when compared to a purely myopic policy of extracting as much of the inputs as possible.
机译:现有的涉及地下水开采的经济研究机构似乎只关注该问题本身,而没有将开采含水层和相应的污染问题视为共同的资源问题。本研究试图填补这一空白,其主要目标是通过捕获二十年来一段时间内地下水存量和污染物存量的动态行为,来评估地下水量和质量管理中涉及的经济权衡。该研究使用模拟数据估算生产函数和氮渗透函数,并将这些估算值用于动态优化框架中,以找出每英亩水和氮肥的施用量,从而在20年的规划范围内使净现值最大化。该研究以弗农·史密斯(Vernon Smith)的水契方法为基础,提出了一种基于代理人的交易方案,该方案中,在分配了一组初始取水许可后,允许使用相同投入生产的两个代理人进行交易。与纯粹的近视提取尽可能多的投入的政策相比,对水的水平和质量以及个人净收入的影响要好得多。

著录项

  • 作者

    Ghosh, Sanchari.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Economics Environmental.;Water Resource Management.;Economics Agricultural.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 224 p.
  • 总页数 224
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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