Analysis of patent mortality rate across different technology fields in India

ABSTRACT

The aim of this study was to evaluate how indicators of patent quality affect the value of a patent, which can be measured by how often it is renewed (or “survives”). Intellectual property rights (IPRs) are becoming more important in a wide range of industries. In the same way, a country's intellectual strength can be judged by how many patents it has and how much research and development it does. The Cox-PH model and the accelerated failure time (AFT) model are used in this study to determine the patent's worth across the five major technology groups and ownership status. The final sample for survival analysis is made up of 40132 patents that were obtained from the Indian Patent Office between 1995 and 2005. (IPO). We find that broad academic patents don't last longer, but that the patent's ability to be used internationally makes it last longer. In contrast, institutional patents are geographically restricted. The collaboration appears to have a greater impact on patent value.

KEYWORDS:

• Patent survival
• patent value
• intellectual Property rights
• technology
• knowledge economy

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 Please merge 2nd and 3rd paragraph.

2 https://ipindiaservices.gov.in/publicsearch

3 PatSeer is a private patent database owned by Gridlogics Technologies Pvt. Ltd.

4 The AFT model can be used with the Weibull distribution if the PH assumption of Cox model is satisfied, whilst if PH assumption not met the AFT model is used with distributions other than Weibull.

Additional information

Notes on contributors

Mohd Shadab Danish

Mohd Shadab Danish's research areas are the economics of innovation, patent policy, patent valuation, and technology transfer. He has completed his Ph.D. from the Indian Institute of Technology (IIT) Indore under the supervision of Dr. Ruchi Sharma. Currently, he is working as an assistant professor in the area of economic and public policy at Indian Institute of Management (IIM) Raipur. His work has been published in journals of repute like Technology Analysis and Strategic Management, International Journal of Innovation and Technology Management, Journal of Scientometrics, Transnational corporation review, and Energy Economics.

Pritam Ranjan

Pritam Ranjan is a Professor in the OM&QT (Operations Management and Quantitative Techniques) area at IIM Indore since 2015. Before joining IIM, he was an associate professor in the department of Mathematics and Statistics at Acadia University, Nova Scotia, Canada. He obtained B.Stat. and M.Stat. degrees from the Indian Statistical Institute, Kolkata, and a Ph.D. degree in statistics from Simon Fraser University, BC, Canada. His research areas include design and analysis of computer experiments, statistical models for computer simulators, sequential designs for feature estimation, and a projective geometric approach for multi-stage fractional factorial designs with randomization restrictions and applied statistics in general.

Ruchi Sharma

Ruchi Sharma (Ph.D: IIT Kanpur) is an Associate Professor at School of Humanities and Social Sciences, Indian Institute of Technology Indore. She has worked as Economist with Tata Services Limited. She has also worked at IIT Delhi and held visiting position at IIM Indore. Her research areas are Economics of Innovation, Patent Policy and Technology Transfer (FDI and Licensing). She has received grants from Indian Council of Social Sciences Research (ICSSR) for research projects and Ministry of Human Resource Development for organizing GIAN courses. She has published research papers in the international journals of repute and has presented her work in international conferences held at University of Illinois and Oxford University. She was awarded Kusuma Young Faculty Incentive Fellowship at IIT Delhi.