Climate change and finite energy supply issues have received substantial public attention in recent times. It has been argued that a sustainable associated with the promotion of clean is an important engine growth, which calls for sound protection to reinforce investments renewable market. This paper examined effect intellectual property rights (IPRs) on production using dynamic panel generalis...

To investigate whether intellectual property rights (IPRs) promote or hinder seed technology diffusion through trade, we use panel data for 134 countries over the period 1985-2010 to evaluate the impact of a country’s IPRs on its seed imports from the U.S. by estimating a gravity equation using both linear and nonlinear (Poisson) fixed effects methods. In both the static and dynamic models, the...

Article history: Received 1 October 2013 Received in revised form 1 October 2014 Accepted 5 November 2014 Available online 4 February 2015 This paper investigates the effects of software intellectual property rights (IPRs) on the performance of software firms. For this, technical efficiency scores for Korean software firms are examined, and for an empirical analysis, data envelopment analysis (...

A simple intellectual property rights (IPRs) framework is introduced into a dynamic quality ladder model of technological diffusion between innovating firms in one country and imitating firms in another country. The presence of technological spillovers and feedback effects between firms in the two countries demonstrates that, even when steady state growth increases, transition costs sometimes d...

Abstract: The WTO Agreement on Trade-Related Intellectual Property Rights (TRIPS) will usher in a markedly stronger global system of defining and protecting intellectual property rights (IPRs). This paper analyses TRIPS as a global regulatory device. It first discusses the concept of intellectual property and the need for its protection and regulation. It presents evidence on the wide variation...

In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the ...