Using over 200,000 U.S. patent citations, we test whether knowledge transfers in the transportation sector are sensitive to distance, and whether that sensitivity has changed over time. Controlling for self-citation by inventor, assignee and examiner, multivariate regression analysis shows that physical distance is becoming less important for spillovers with time, albeit in a nonlinear fashion.
This study examines the relationship between pharmaceutical R&D and health care expenditures, distinguishing between the short- and long-run impacts. To measure these relationships quantitatively, we focus on patents as a key factor driving the costs of pharmaceuticals, and develop a structured vector autoregressive (SVAR) model to measure the social rate of return to pharmaceutical research as protected by patents. We conclude with unambiguous results that pharmaceutical patents are not correlated with higher short-run prices in any measure of medical costs. They are associated with higher long-run prices in pharmaceuticals themselves, but with lower long-run prices in the aggregate medical sector which includes pharmaceuticals as a component part. Further, the TRIPS Agreement and Hatch-Waxman Act to enable generic competition have both been demonstrably effective at lowering prices across the spectrum of medical sector prices. We conclude that pharmaceutical patents may be economically medicinal themselves, acting as the 'ounce of prevention' that saves a 'pound of cure', the cure which would come in the form of even higher costs elsewhere in the medical sector.
In an effort to explore the potential for financing environmental innovation, this paper examines different forms of financing and attempts to evaluate their effectiveness. The study considers both public and private forms of funding as well as providing policy suggestions for the support of appropriate financing for eco-innovation.
This paper evaluates the contribution of patent-related events to changes in stock prices, proposing that economics has traditionally failed to find much effect for two reasons which we identify and correct. First, patents vary widely in quality so we use quantile analysis and alternative measures of patent quality to identify effects. Second, we permit the possibility that information leaks out into investor sentiment during the long and uncertain time until patent grant, so evaluate the stock price effect at four different dates in the life of each patent. As a case study to test this approach, track all patents over a 27-year period for Apple Inc., permitting design patents to have different effects that traditional utility-model patents, and isolate the effect that Steve Jobs’s name on a patent has at each stage of a patent’s life.
Network analysis shows a stable network between states, but a changing environment between individual actors, with a growing importance of connectedness. The popular maxim that everyone is connected by six degrees of separation is tested with surprising results.
Using patent citation data for the U.S., we test whether knowledge spillovers in biotechnology are sensitive to distance, and whether that sensitivity has changed over time. Controlling for self-citation by inventor, assignee and examiner, cohort-based regression analysis shows that physical distance is becoming less important for spillovers with time.
This paper aims to summarize the state of academic knowledge surrounding the economics of environmental innovation. Following a definition of environmental technology, the paper enumerates and describes the obstacles or constraints to the development of eco-innovation.
This paper tests the induced innovation hypothesis that higher oil prices will lead to increased innovation in energy-efficient automotive technology. We find robust empirical support for the hypothesis, while using various measures of oil and gas prices and controlling for other factors including constructed knowledge stocks and macroeconomic variables.
There are two counter-intuitive trends in technological collaboration currently at work, making collaborative patent applications less common but where they exist, the collaborations involve more partners. Patent data are used to examine these trends along with the impact of two recent policy changes, including the relevance for particular nations and technologies.
Using over 250,000 U.S. patent citations, we test whether knowledge transfers in the energy sector are sensitive to distance, and whether that sensitivity has changed over time. Controlling for self-citation by inventor, assignee and examiner, multivariate regression analysis shows that physical distance is becoming less important for spillovers with time.
This paper considers the challenges to the dissemination of environmental innovation. Following a brief exploration of the legal and regulatory regimes surrounding environmental technologies, the paper examines diffusion mechanisms, market factors, social characteristics and political elements that facilitate and complicate dissemination. Given the importance of innovation to economic development and growth, the diffusion of innovation is of great interest to economists and policymakers alike.
Agriculture, like many primary and service sectors, is a frequent recipient of innovation intended for its use, even if those innovations originate in industrial sectors. The challenge has been identifying them from patent data, which are recorded for administrative purposes using the International Patent Classification (IPC) system. We reprogram a well-tested tool, the OECD Technology Concordance (OTC), to identify 16 million patents granted between 1975 and 2006 worldwide which have potential application in agriculture. This paper presents the methodology of that dataset’s construction, introduces the data via summaries by nation and industrial sector over time, and suggests some potential avenues for future exploration of empirical issues using these data.
Although previous empirical studies have found relationships between patent characteristics and value, none have determined how specific attributes relate to auction value or even the probability of a successful auction sale. Using a Heckman two-step model, we regress thirteen independent variables against unique patent auction data, finding that publicly-owned and frequently referenced patents are more valuable, and that other things equal, there is an optimal time to offer a patent up for auction.