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首页> 外文期刊>International journal of strategic decision sciences >Compliance with International Soft Law: Is the Adoption of Soft Law Predictable?
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Compliance with International Soft Law: Is the Adoption of Soft Law Predictable?

机译：遵守国际软法：采用软法是否可以预测？

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摘要

The present article considers the importance of legal system origin in compliance with ‘international soft law,' or normative provisions contained in non-binding texts. The study considers key economic and governance metrics on national acceptance an implementation of the first Basle accord. Employing a data set of 70 countries, the present study considers the role of market forces and bilateral and multi-lateral pressures on implementation of soft law. There is little known about the role of legal system structure-related variables as factors moderating the implementation of multi-lateral agreements and international soft law, such as the 1988 accord. The present study extends upon research within the extant literature by employing a novel estimation method, a neural network modelling technique, with multi-layer perceptron artificial neural network (MPANN). Consistent with earlier studies, the article identifies a significant and positive effect associated with democratic systems and the implementation of the Basle accord. However, extending upon traditional estimation techniques, the study identifies the significance of savings rates and government effectiveness in determining implementation. Notably, the method is able to achieve a superior goodness of fit and predictive accuracy in determining implementation.
机译：本文考虑了遵循“国际软法”或非约束性文本中包含的规范性条款的法律制度渊源的重要性。该研究认为，关于巴塞尔协议的实施是国家接受的关键经济和治理指标。本研究使用了70个国家的数据集，考虑了市场力量的作用以及实施软法的双边和多边压力。很少有人知道与法律制度结构有关的变量作为阻碍执行多边协定和国际软法（例如1988年协议）的因素的作用。本研究通过采用一种新颖的估计方法，一种具有多层感知器人工神经网络（MPANN）的神经网络建模技术，在现有文献中进行了扩展。与早期研究一致，本文确定了与民主制度和《巴塞尔协议》的执行相关的重大积极影响。但是，在扩展传统估算技术的基础上，该研究确定了储蓄率和政府确定实施方案的有效性的重要性。值得注意的是，该方法能够在确定实施方式时获得优良的拟合优度和预测精度。

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