Measuring Research And Development Expenditures In The U S Economy

This report examines the portfolio of research and development (R&D) expenditure surveys at the National Science Foundation (NSF), identifying gaps and weaknesses and areas of missing coverage. The report takes an in-depth look at the definition of R&D, the needs and potential uses of NSF's R&D data by a variety of users, the goals of an integrated system of surveys and other data collection activities, and the quality of the data collected in the existing Science Resources Statistics surveys.

National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation is responsible for national reporting of the research and development (R&D) activities that occur in all sectors of the United States economy. For most sectors, including the business and higher education sectors, NCSES collects data on these activities on a regular basis. However, data on R&D within the nonprofit sector have not been collected in 18 years, a time period which has seen dynamic and rapid growth of the sector. NCSES decided to design and implement a new survey of nonprofits, and commissioned this workshop to provide a forum to discuss conceptual and design issues and methods. Measuring Research and Development Expenditures in the U.S. Nonprofit Sector: Conceptual and Design Issues summarizes the presentations and discussion of the workshop. This report identifies concepts and issues for the design of a survey of R&D expenditures made by nonprofit organizations, considering the goals, content, statistical methodology, data quality, and data products associated with this data collection. The report also considers the broader usefulness of the data for understanding the nature of the nonprofit sector and their R&D activities. Measuring Research and Development Expenditures in the U. S. Nonprofit Sector will help readers understand the role of nonprofit sector given its enormous size and scope as well as its contribution to identifying new forms of R&D beyond production processes and new technology.

The research underlying this volume was designed to test the theory of Total Factor Productivity (TFP) in contemporary context. Developed by Nobel Prize-winning economist, Robert Solow, in the 1950s, TFP has been applied by many economists to investigate the relationships among capital, labor, and economic performance. In this analysis, John Wetter presents the hypothesis that technological investment drives growth and performance of the U.S. economy. The study addresses four key questions: 1. Is there a relationship between Total Factor Productivity and Gross National Product? 2. Is there a relationship between Total Factor Productivity and Research & Development expenditures? 3. Is there a relationship between Research & Development expenditures and Gross Domestic Product? 4. Can the relationship in research question #1 be explained by other factors? Is there any potential non-spuriousness (mediation) implication to the relationship? Synthesizing the literature from related fields, including macroeconomics, technology transfer, and innovation, and applying rigorous methodology, Wetter demonstrates that Total Factor Productivity is positively related to Gross Domestic Product and is mediated by Research & Development. In addition, he reveals that the lag time between R&D spending and GDP growth averages eleven years, which suggests that long-term planning is essential to maximizing the benefits of R&D. Wetter considers the implications for policymaking and industry leadership, including such timely issues as the effects of the 2009 U.S. stimulus program.

The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...

As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.