信息不对称、风险规避与研发补贴:效应大小异质性与政策难题

IF 3.2 3区 经济学 Q1 ECONOMICS
M. Ugur, E. Trushin
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引用次数: 1

摘要

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Information asymmetry, risk aversion and R&D subsidies: effect-size heterogeneity and policy conundrums
ABSTRACT Drawing on the theory of contracts and Schumpeterian models of innovation, we demonstrate that information asymmetry and risk aversion are conducive to effect-size heterogeneity and sub-optimal allocation of R&D subsidies. Utilising an unbalanced panel of 43,650 British firms from 1998 to 2012 and an entropy balancing methodology, we find that R&D subsidies are less likely to generate additionality effects when: (a) firms are larger, older, or more R&D-intensive; and (b) investment in basic research or during crisis episodes is considered. We also report that over 85% of the subsidies are allocated to large, old and R&D-intensive firms that do not deliver additional R&D investment. Our findings reveal a policy conundrum: the case for R&D subsidies is stronger during economic downturns, when R&D investment is in basic research and when firm age, size and R&D intensity reflect success in converting R&D investment into innovative product lines; but the subsidy is less likely to increase business R&D under these conditions.
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来源期刊
CiteScore
7.20
自引率
3.00%
发文量
30
期刊介绍: Economics of Innovation and New Technology is devoted to the theoretical and empirical analysis of the determinants and effects of innovation, new technology and technological knowledge. The journal aims to provide a bridge between different strands of literature and different contributions of economic theory and empirical economics. This bridge is built in two ways. First, by encouraging empirical research (including case studies, econometric work and historical research), evaluating existing economic theory, and suggesting appropriate directions for future effort in theoretical work. Second, by exploring ways of applying and testing existing areas of theory to the economics of innovation and new technology, and ways of using theoretical insights to inform data collection and other empirical research. The journal welcomes contributions across a wide range of issues concerned with innovation, including: the generation of new technological knowledge, innovation in product markets, process innovation, patenting, adoption, diffusion, innovation and technology policy, international competitiveness, standardization and network externalities, innovation and growth, technology transfer, innovation and market structure, innovation and the environment, and across a broad range of economic activity not just in ‘high technology’ areas. The journal is open to a variety of methodological approaches ranging from case studies to econometric exercises with sound theoretical modelling, empirical evidence both longitudinal and cross-sectional about technologies, regions, firms, industries and countries.
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