解释各州为达成最高日负荷总量 (TMDL) 协议所做的努力

IF 1.8 3区 社会学 Q2 POLITICAL SCIENCE
Martin K. Mayer, John C. Morris, Madeleine W. McNamara, Xiaodan Zhang
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引用次数: 0

摘要

目标随着 1987 年《水质法》(WQA)对非点源污染的重新重视,美国环境保护局(EPA)开始面临大量诉讼,这些诉讼旨在向 EPA 施压,要求其执行《水质法》第 319 条的要求,以解决非点源污染问题。这些计划被称为 "最大日负荷总量 (TMDL) 协议",其目的是限制进入各州水道的污染径流量。一些州对这些计划采取了积极主动的态度,而另一些州则抵制 319 条款的实施。本文试图了解各州在制定和实施 TMDL 协议过程中的选择。方法利用 2000 年至 2020 年的州级数据集,我们检验了一个新颖的横截面时间序列模型,该模型采用各州签订的协议数量作为因变量。结果我们发现,政治解释和需求解释都得到了普遍支持,而政策需求解释则更有希望。结论综合来看,这些模型为了解各州在制定 TMDL 时的选择提供了一些启示。政治模型最弱,表明 TMDL 并不具有明显的政治性。与党派政治相比,政策需求似乎在大多数 TMDL 协议中发挥着更关键的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explaining state efforts to create Total Maximum Daily Load (TMDL) agreements
ObjectivesWith the rejuvenated emphasis on nonpoint pollution under the Water Quality Act (WQA) of 1987, Environmental Protection Agency (EPA) began to face an onslaught of lawsuits designed to pressure the EPA to enforce the requirements of Section 319 of the WQA to address nonpoint pollution. Known as Total Maximum Daily Load (TMDL) agreements, the purpose of these plans was to limit the amount of polluted runoff reaching a state's waterways. While some states took a proactive stance on these plans, other states resisted the implementation of Section 319. This article seeks to understand state choices in the development and implementation of TMDL agreements.MethodsUtilizing a data set spanning state‐level data from 2000 to 2020, we test a novel cross‐sectional time series model employing the number agreements entered into by a state as the dependent variable.ResultsWe find that both political and need explanations are generally supported, while policy need explanations are somewhat more promising.ConclusionsTaken together, the models offer several insights into state choices around TMDL creation. The political model is the weakest, suggesting that TMDLs are not overtly political. Policy needs seem to play a more critical role in the preponderance of TMDL agreements than partisan politics.
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来源期刊
CiteScore
3.40
自引率
10.50%
发文量
111
期刊介绍: Nationally recognized as one of the top journals in the field, Social Science Quarterly (SSQ) publishes current research on a broad range of topics including political science, sociology, economics, history, social work, geography, international studies, and women"s studies. SSQ is the journal of the Southwestern Social Science Association.
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