Measuring U.S. Innovative Activity

B. Atrostic
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引用次数: 3

Abstract

Innovation has long been credited as a leading source of economic strength and vitality in the United States because it leads to new goods and services and increases productivity, leading to better living standards. Better measures of innovative activities–activities including but not limited to innovation alone–could improve what we know about the sources of productivity and economic growth. The U.S. Census Bureau either currently collects, or has collected, data on some measures of innovative activities, such as the diffusion of innovations and technologies, human and organizational capital, entrepreneurship and other worker and firm characteristics, and the entry and exit of businesses, that research shows affect productivity and other measures of economic performance. But developing an understanding of how those effects work requires more than just measures of innovative activity. It also requires solid statistical information about core measures of the economy: that is, comprehensive coverage of all industries, including improved measures of output and sales and additional information on inputs and purchased materials at the micro (enterprise) level for the same economic unit over time (so the effects can be measured). Filling gaps in core data would allow us to rule out the possibility that a measure of innovative activity merely proxies for something that is omitted from or measured poorly in the core data, provide more information about innovative activities, and strengthen our ability to evaluate the performance of the entire economy. These gaps can be filled by better integrating existing data and by more structured collections of new data.
衡量美国创新活动
长期以来,创新一直被认为是美国经济实力和活力的主要来源,因为它带来了新的商品和服务,提高了生产率,从而提高了生活水平。更好地衡量创新活动——包括但不限于创新的活动——可以改善我们对生产力和经济增长来源的了解。美国人口普查局要么正在收集,要么已经收集了一些衡量创新活动的数据,比如创新和技术的扩散、人力和组织资本、企业家精神和其他工人和企业特征,以及企业的进入和退出,研究表明这些数据会影响生产率和其他衡量经济表现的指标。但是,要理解这些效应是如何起作用的,需要的不仅仅是对创新活动的衡量。它还需要关于经济核心指标的可靠统计信息:即全面覆盖所有行业,包括改进的产出和销售指标,以及同一经济单位在微观(企业)层面上随时间推移的投入和采购材料的额外信息(以便可以测量影响)。填补核心数据的空白将使我们能够排除创新活动的衡量仅仅代表核心数据中遗漏或衡量不佳的东西的可能性,提供更多关于创新活动的信息,并加强我们评估整个经济表现的能力。这些差距可以通过更好地集成现有数据和更结构化的新数据集合来填补。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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