Intellectual Property Regulation, and Software Piracy, a Predictive Model

Michael D'Rosario
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引用次数: 0

Abstract

In recent years, a number of studies have considered the impact of IPRs on software piracy, specifically TRIPS and more recently U.S. USTR 301 reporting, pursuant to the Trade Act. The work of Shadlen (2005) supports the assertion that a number of recent IPR reforms directly influence rates of copyright infringement. Shadlen (2005) is a significant study into the impact of the IPRs such as TRIPS, Out of Cycle reviews and USTR 301 reporting on software piracy. The study identified a number of key IPR reforms and sought to determine the impact of IPR reform differentials on observed piracy rates. The current study extends upon Shadlen (2005), comparing the pooled panel model framework to an alternative model of prediction, a backward propagation, multilayer perceptron network model. The analysis conducted herein focuses specifically on ASEAN member countries. The study employs the Garson (1991) and Goh (1995) methods of independent variable analysis to offer further insight into relative importance of the IPR reform variables.
知识产权监管与软件盗版:一个预测模型
近年来,一些研究考虑了知识产权对软件盗版的影响,特别是与贸易有关的知识产权问题,以及最近美国贸易代表办公室根据《贸易法》提出的301报告。Shadlen(2005)的工作支持了最近的一些知识产权改革直接影响版权侵权率的断言。Shadlen(2005)对TRIPS、Out of Cycle review和USTR 301报告等知识产权对软件盗版的影响进行了重要研究。该研究确定了一些关键的知识产权改革,并试图确定知识产权改革的差异对观察到的盗版率的影响。目前的研究在Shadlen(2005)的基础上进行了扩展,将汇集面板模型框架与另一种预测模型(一种反向传播的多层感知器网络模型)进行了比较。本文的分析主要集中在东盟成员国。本研究采用Garson(1991)和Goh(1995)的自变量分析方法,进一步深入了解知识产权改革变量的相对重要性。
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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