补贴对企业创新有效性的再评价:来自新分类补贴数据的证据

IF 13.3 1区 管理学 Q1 BUSINESS
Hong Yu , Muyang Zhang , Ruolu Zhu
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引用次数: 0

摘要

大多数国家的政府都通过各种政策工具深入参与促进企业创新。然而,作为主要政策工具的补贴在创新方面的有效性在文献中发现好坏参半。本文利用新分类的中国上市公司补贴数据,深入探讨了不同类型补贴的异质性有效性。研究发现,一般补贴和专项补贴都有助于企业创新投入的增加。当创新投入受到控制时,专项补贴对产出的正向影响最大,而人才补贴对发明专利的正向影响最大。进一步的证据表明,与公司主营业务密切相关的专项补贴更为有效。这些发现有助于政府通过对企业主业的专项拨款来提高创新补贴的有效性,避免重复优惠政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A reevaluation on the effectiveness of subsidies on firm's innovation: Evidence from newly categorized subsidy data
Governments of most countries are deeply involved in boosting firm's innovation with various policy tools. However, the effectiveness of subsidies, a major policy tool, on innovation has been found mixed in the literature. In this paper, we explore in-depth the heterogeneous effectiveness of different types of subsidies with newly categorized subsidy data of Chinese listed firms. We find that both general and earmarked subsidies contribute to an increase in innovation input of firms. When innovation input is controlled, earmarked subsidies see strongest positive effect on output, while talent subsidies are effective on invention patent. Further evidence shows that earmarked subsidies closely related to firm's main business are more effective. These findings help governments enhance the effectiveness of innovation subsidies by earmarking on firm's main business and avoid duplicated preferential policies.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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