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IMPROVING THE QUALITY OF DATA USED IN ENVIRONMENTAL ECONOMICS RESEARCH

机译:改善环境经济学研究中使用的数据质量

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摘要

Valuing environmental goods through contingent valuation and through other survey techniques is difficult because of the lack of traditional markets for those goods.EPA provides leadership in overcoming these challenges,using focus groups,workshops,handbooks,and teams of distinguished economists to obtain more reliable economic data from the surveys.Agency economists have provided leadership in employing production economics tools to identify win-win approaches to solve pervasive and neglected environmental problems.In addition,we exploit the speed of sophisticated computers,building field run-off models into economic models and aggregating results from tens of thousands of field sites. These very flexible models provide much more credible,site-specific analyses than previous models,and they offer flexible and efficient remedies to support Total Maximum Daily Loads and other new programs.
机译:由于缺乏传统的市场,通过偶然的估值和其他调查技术对环境商品进行估值很困难。EPA通过领导小组,讲习班,手册和杰出的经济学家团队,在克服这些挑战方面发挥领导作用,以获取更可靠的经济数据。机构经济学家在运用生产经济学工具确定双赢的方法来解决普遍存在和被忽视的环境问题方面发挥了领导作用。此外,我们利用复杂的计算机的速度,将现场径流模型构建为经济模型和来自成千上万个现场的汇总结果。与以前的模型相比,这些非常灵活的模型提供了更可靠,针对特定地点的分析,并且它们提供了灵活而有效的补救措施来支持“总最大日负荷”和其他新程序。

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