More is better or in waste? A resource allocation measure of government grants for facilitating firm innovations
More is better or in waste? A resource allocation measure of government grants for facilitating firm innovations
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DOI：
10.1016/j.techfore.2023.122918
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发表时间：
2023-12
影响因子：
12
通讯作者：
Anyu Yu;Qin Zhang;Rongjian Yu;Yu Cheng
中科院分区：
文献类型：
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作者：
Anyu Yu;Qin Zhang;Rongjian Yu;Yu Cheng
为了增强企业的创新能力，提高创新绩效，政府给予企业财政资助并不奇怪。以前的研究在分配政府赠款金未能定量确定废物内，这留下了一个显着的研究空白。本研究通过提出一种新的数据修正分析模型来处理错误分配问题，从而为文献提供了贡献。我们首先提出一个以产出为导向的集中分配模型，以确定有效利用的资源或废物。然后，提出了一种算法，以确定最佳的资源分配总量，并消除可能的浪费。在一个高科技企业政府赠款分配的应用中，研究了政府创新补贴和税收减免的最优分配方案。我们发现，不同类型的企业的创新绩效和不同的分配结果的赠款的混合影响。建议加大政府赠款资金的投入，但在投入中要警惕过度投入和不必要的浪费。规模收益特征和创新失败率对分配结果的影响也进行了探讨。我们的研究结果肯定了所提出的方法的有效性，并提供坚实的政策含义。
To strengthen firms' innovation capability and improve innovation performance, it is not surprising for the government to grant them financial funding. Previous research in allocation of government grants fails to quantitatively identify the wastes within, which leaves a significant research gap. This study contributes to the literature by proposing a novel data envelopment analysis model to deal with the misallocation issue. We first propose a centralized allocation model with the output-oriented focus to identify the effectively used resources or wastes. An algorithm is then proposed to determine the optimal total amounts of allocated resources and eliminate possible wastes. In an application of allocating government grants for high-tech firms, the proposed approach investigates government’s optimal allocation plan of innovative subsidy and tax reduction. We find the mixed impacts of grants on innovation performance and diverse allocation results across different types of firms. More government grants are suggested to be allocated, but excessive investment and unnecessary waste should be alerted in allocation. Impacts of returns to scale characteristics and innovation failure rates on allocation results are also explored. Our results affirm the effectiveness of the proposed approach and provide solid policy implications.