政府引导基金与企业全要素生产率:基于投资强度的视角
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F273

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国家自然科学基金项目(72472007);北京市社会科学基金项目(25JCB025);北京市自然科学基金项目(26JL010)。


Government-guided funds and corporate total factor productivity: From the perspective of investment intensity
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    摘要:

    在创新驱动发展和培育新质生产力的背景下,政府引导基金规模激增,但部分投资出现增量不增效问题,如何识别其投资强度的效率边界,已成为提升财政资金配置效率与企业高质量发展效能的关键问题。本研究基于2015—2023年中国A股上市公司数据,运用倾向得分匹配和多时点双重差分法,从投资强度视角系统考察了政府引导基金对企业全要素生产率的影响。研究发现:第一,政府引导基金的投资在整体上对企业全要素生产率有显著的促进作用;第二,该促进作用并非线性,而是随投资强度增加呈现显著的倒U型关系,即适度的投资能提升企业全要素生产率,但超过特定拐点后,会导致促进作用减弱甚至可能转为抑制;第三,机制分析表明,这一非线性关系源于“资源赋能”边际收益与“治理扭曲”边际成本的动态博弈,即在投资强度较低时缓解融资约束的资源赋能效应占主导,而随着投资强度提高,多重委托代理问题引发的治理扭曲效应逐渐增强,通过侵蚀组织效率、资产运营效率和市场能力,降低企业效率,其负面影响最终超过了资源赋能收益。进一步分析发现,在基金层级较高、地区市场化程度较高、政府干预程度较低、行业竞争较为充分,以及投向早期、小型和高科技企业时,引导基金的积极效应更为显著,有效投资区间也更宽。本研究为优化政府引导基金的投资策略、识别合理的投资强度区间以及促进企业高质量发展,提供了理论依据与经验证据。

    Abstract:

    Under the background of innovation-driven development and cultivation of new productivity, the scale of government guiding funds has surged, but some investments have the problem of incremental inefficiency. How to identify the efficiency boundary of investment intensity has become a key issue to improve the efficiency of financial capital allocation and the efficiency of high-quality development of enterprises. Based on the data of China’s A-share listed companies from 2015 to 2023, this study systematically examines the impact of government guidance funds on the total factor productivity of enterprises from the perspective of investment intensity by using propensity score matching and multi-time point double difference method. The study found that: First, the investment of government guidance funds has a significant role in promoting the total factor productivity of enterprises as a whole. Second, the promotion effect is not linear, but shows a significant inverted U-shaped relationship with the increase of investment intensity: moderate investment can improve the total factor productivity of enterprises, but beyond a specific inflection point, it will lead to a weakening of the promotion effect and may even turn into inhibition. Thirdly, the mechanism analysis shows that this nonlinear relationship originates from the dynamic game between the marginal benefit of ‘resource empowerment’ and the marginal cost of ‘governance distortion’. When the investment intensity is low, the resource empowerment effect of alleviating financing constraints is dominant; with the increase of investment intensity, the governance distortion effect caused by multiple principal-agent problems gradually increases. By eroding organizational efficiency, asset operation efficiency and market capacity, the efficiency of enterprises is reduced, and its negative impact eventually exceeds the benefits of resource empowerment. Further analysis shows that the positive effect of the guiding fund is more significant and the effective investment range is wider when the fund level is higher, the regional marketization degree is higher, the government intervention degree is lower, the industry competition is more sufficient, and the investment is in the early, small and high-tech enterprises. This study provides theoretical basis and empirical evidence for optimizing the investment strategy of government guiding funds, identifying reasonable investment intensity interval and promoting high-quality development of enterprises.

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单伟,韩一佟,程长风,石仁波.政府引导基金与企业全要素生产率:基于投资强度的视角[J].中国软科学,2026,(8):130-142

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  • 在线发布日期: 2026-09-16
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