NPO Funding in Italy: The Role and the Contribution of Corporate Governance

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
P. Gazzola, S. Amelio, D. Grechi, Fragkoulis Papagiannis
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引用次数: 3

Abstract

By adopting mainly the “principal-agent theory”, the study analyses how non-profit organizations (NPOs) corporate governance structure could increase the trust of the donors and therefore affect their ability to receive donations from taxpayers. Starting from a literature review we concentrated our attention on the non-profit sector where NGOs represent the largest category. In Italy, starting from 2006, all NPOs could receive funding deriving from taxes paid by citizens when making tax returns with the so called ‘5 per thousand’ of the personal income tax. We analyzed the corporate governance disclosure practices of the first Italian 100 NPOs that received the highest donations from 5 per thousand. In particular, we elaborated a CGI index that includes governance and informativeness. This paper shows how an efficient and transparent corporate governance structure motivates the donors to donate 5 per thousand to NPOs that demonstrate good corporate governance. The findings suggest that taxpayers are inclined to allocate 5 per thousand to organizations where the information level, from a governance point of view, is high, easily available and clear about the purpose in the specified field of research.
意大利的非营利组织资助:公司治理的作用和贡献
本研究主要采用“委托代理理论”,分析非营利组织(NPOs)的公司治理结构如何增加捐赠者的信任,从而影响其接受纳税人捐赠的能力。从文献回顾开始,我们将注意力集中在非营利领域,其中非政府组织是最大的一类。在意大利,从2006年开始,所有非营利组织在申报个人所得税时都可以从公民缴纳的税款中获得资金,即所谓的“千分之五”。我们分析了意大利前100家获得最高捐赠的非营利组织的公司治理披露实践,每千人中有5人。特别是,我们制定了一个包括治理和信息性的CGI指数。本文展示了一个高效、透明的公司治理结构如何激励捐赠者向表现良好的公司治理的非营利组织捐赠千分之五。研究结果表明,从治理的角度来看,纳税人倾向于将千分之五的资金分配给信息水平高、容易获得、对特定研究领域的目的清楚的组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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