State Level Corruption: An Empirical Study of the Effects of State Level Corruption on Firm Performance in the United States

Neal Willcott
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Abstract

Over the past 30 years considerable work scrutiny has been undertaken in the area of corruption and its effect on many facets of society. In business, efforts to measure corruption have been frequently debated and models have been proposed to reflect different firm characteristics in the presence of corruption. Based on these measures, research usually considers single variable measures over time, generally cross-nationally. This study constructs a new model incorporating multiple different variables working in concert over the period from 2000-2015, to postulate a variety of different relationships and firm characteristics at the state level in the United States. In doing so, the model is constructed to limit biases that a single variable can have on the data. The model analyzes state level firm financial performance by utilizing ROA and Tobin’s Q as well as comparing high corruption state data to low corruption state data. The study finds that the presence of corruption increases the firm’s financial performance at the state level. These data are then used to conduct univariate testing with Ordinary Least Squares modelling to examine fixed firm effects as well as time lagged data. Significance is found to hold for these constraints and that firm financial performance is enhanced in high corruption states for most of the sample constructs. Supplementary models are subsequently constructed to test the robustness against significant economic events and legislative changes. The model is found to provide additional evidence when these tests are applied, thereby maintaining significance. The evidence from these tests are discussed and the conclusion reached is that corruption provides the opportunity for firms to enhance their financial performance, particularly for large firms, value firms, and firms with low leverage. It is also concluded that the benefits in performance from corruption are more beneficial in the short term.
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州级腐败:美国州级腐败对企业绩效影响的实证研究
在过去30年中,在腐败及其对社会许多方面的影响方面进行了大量的工作审查。在商业领域,衡量腐败的努力经常引起争论,并提出了反映腐败存在时不同企业特征的模型。基于这些测量,研究通常考虑单一变量随时间的测量,通常是跨国的。本研究构建了一个包含2000-2015年期间多个不同变量协同工作的新模型,以假设美国州一级的各种不同关系和企业特征。在此过程中,构建模型是为了限制单个变量对数据的偏差。该模型通过利用ROA和Tobin’s Q以及比较高腐败状态数据和低腐败状态数据来分析州级企业的财务绩效。研究发现,腐败的存在增加了公司在州一级的财务表现。然后使用这些数据进行单变量检验,使用普通最小二乘模型来检验固定企业效应以及时间滞后数据。研究发现,这些约束条件具有重要意义,并且对于大多数样本结构来说,在高腐败状态下,企业的财务绩效得到了增强。随后构建了补充模型,以检验对重大经济事件和立法变化的稳健性。当应用这些测试时,发现该模型提供了额外的证据,从而保持了意义。对这些测试的证据进行了讨论,得出的结论是,腐败为企业提供了提高财务绩效的机会,特别是对大型企业、价值型企业和低杠杆企业而言。研究还得出结论,腐败对绩效的好处在短期内更有利。
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