Patents Citations And Innovations

A study of how patents and citation data can serve empirical research on innovation and technological change.

The United States patent system has become sand rather than lubricant in the wheels of American progress. Such is the premise behind this provocative and timely book by two of the nation's leading experts on patents and economic innovation. Innovation and Its Discontents tells the story of how recent changes in patenting--an institutional process that was created to nurture innovation--have wreaked havoc on innovators, businesses, and economic productivity. Jaffe and Lerner, who have spent the past two decades studying the patent system, show how legal changes initiated in the 1980s converted the system from a stimulator of innovation to a creator of litigation and uncertainty that threatens the innovation process itself. In one telling vignette, Jaffe and Lerner cite a patent litigation campaign brought by a a semi-conductor chip designer that claims control of an entire category of computer memory chips. The firm's claims are based on a modest 15-year old invention, whose scope and influenced were broadened by secretly manipulating an industry-wide cooperative standard-setting body. Such cases are largely the result of two changes in the patent climate, Jaffe and Lerner contend. First, new laws have made it easier for businesses and inventors to secure patents on products of all kinds, and second, the laws have tilted the table to favor patent holders, no matter how tenuous their claims. After analyzing the economic incentives created by the current policies, Jaffe and Lerner suggest a three-pronged solution for restoring the patent system: create incentives to motivate parties who have information about the novelty of a patent; provide multiple levels of patent review; and replace juries with judges and special masters to preside over certain aspects of infringement cases. Well-argued and engagingly written, Innovation and Its Discontents offers a fresh approach for enhancing both the nation's creativity and its economic growth.

This manual provides guiding principles for the use of patent data in the context of S&T measurement, and recommendations for the compilation and interpretation of patent indicators in this context.

Suggests empirical justification to its arguments, both for the United States and Europe, covering two of the most important patenting institutions (EP, USPTO). Offers a composite index for measuring patent valuation and analyses this value with respect to combined IP strategies.

This volume assembles papers commissioned by the National Research Council's Board on Science, Technology, and Economic Policy (STEP) to inform judgments about the significant institutional and policy changes in the patent system made over the past two decades. The chapters fall into three areas. The first four chapters consider the determinants and effects of changes in patent "quality." Quality refers to whether patents issued by the U.S. Patent and Trademark Office (USPTO) meet the statutory standards of patentability, including novelty, nonobviousness, and utility. The fifth and sixth chapters consider the growth in patent litigation, which may itself be a function of changes in the quality of contested patents. The final three chapters explore controversies associated with the extension of patents into new domains of technology, including biomedicine, software, and business methods.

Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.

This invaluable book provides a comprehensive overview of twenty years of research on the economics of innovation and patent policies. Edited by Bruno van Pottelsberghe de la Potterie, the papers in this volume witness twenty years of advanced empirical research — triggered by intensive collaboration and inspired by his own professional experience at the OECD, METI and the European Patent Office. The Editor's publications in these fields have greatly contributed to better understand how innovation can be stimulated, how it can be measured, through which channels it contributes to growth, with a particular emphasis on the role of patent systems. In the introductory chapter, the Editor provides an overview of each subfield of investigation, by explaining the genesis of the research projects and adding some personal history. The book first displays major empirical findings on the effectiveness of science and technology policies in stimulating R&D, on how these policies affect the contribution of R&D to economic growth, and how to measure international R&D spillovers and what are their most effective channels. The policies that aim at stimulating innovation include R&D subsidies, public R&D, and R&D tax credits. The chapters that follow present foundational work on patent count methodologies aiming at improving innovation metrics, as well as creative contributions on patent valuation models. The book then presents pioneering contributions on the design of patent systems, including a thorough work on the role of fees, far-reaching analyses on quality, and critical contributions on the governance of patent systems in general and the European patent system in particular.

As patent data become more available in machine-readable form, an increasing number of researchers have begun to use measures based on patents and their citations as indicators of technological output and information flow. This paper explores the economic meaning of these citation-based patent measures using the financial market valuation of the firms that own the patents. Using a new and comprehensive dataset containing over 4800 U. S. Manufacturing firms and their patenting activity for the past 30 years, we explore the contributions of R&D spending, patents, and citation-weighted patents to measures of Tobin's Q for the firms. We find that citation-weighted patent stocks are more highly correlated with market value than patent stocks themselves and that this fact is due mainly to the high valuation placed on firms that hold very highly cited patents