探索研发支出与企业价值关系的非对称动态:面板自回归分布式滞后分析的启示

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-22 DOI:10.1002/mde.4362
Navjot Kaur, Balwinder Singh
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引用次数: 0

摘要

本研究旨在深入探讨研究与开发(R&D)支出对公司价值的影响,既考虑短期和长期动态,又考虑这种关系中任何潜在的不对称性。这项研究以 185 家印度制造业上市公司为样本,时间跨度为 18 年,即从 2006 年到 2023 年。对称和非对称自回归分布滞后(ARDL)均被用于 3330 个公司年观测数据的最终样本,以揭示上述关系的复杂性。对称自回归分布滞后模型的实证结果表明,研发支出在长期内对企业价值有积极影响,而在短期内没有显著影响。与此相反,非对称 ARDL 模型的结果提出了有趣的见解。在短期内,研发支出的正(负)变化似乎会降低(提高)企业价值。然而,从长期来看,正(负)变化往往会增加(减少)公司的价值。这项研究的关键与众不同之处在于发现了研发支出对公司价值的非对称影响。本文认为,虽然研发支出确实会影响公司价值,但两者之间的关系本质上并不对称。特别是,R&D 支出的影响从使用对称 ARDL 估计时的统计不显著变为使用非对称估计方法时的显著。在不同的子样本和变量的其他测量方法中,研究结果基本保持一致。
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Exploring asymmetric dynamics of R&D spending and firm value nexus: Insights from panel autoregressive distributed lag analysis
The present study aims to provide valuable insights into the impact of research and development (R&D) spending on firm value, considering both short‐term and long‐term dynamics while also considering any potential asymmetries in this relationship. This work is conducted using a sample of 185 listed Indian manufacturing firms over a time span of 18 years, that is, from 2006 to 2023. Both symmetric and asymmetric autoregressive distributed lag (ARDL) are employed on a final sample of 3330 firm‐year observations to unravel the intricacies of the aforementioned relationship. Based on the empirical findings from the symmetric ARDL model, it is revealed that R&D spending positively impacts the value of firms in the long run while showing no significant effect in the short run. On the contrary, the results from the asymmetric ARDL model present interesting insights. In the short run, positive (negative) changes in R&D spending appear to reduce (increase) the value of firms. However, in the long run, positive (negative) changes tend to increase (reduce) the value of companies. The key differentiator of the study is the identification of the asymmetrical impact of R&D spending on firm value. The paper argues that while R&D spending does influence firm value, the relationship between them is not inherently symmetrical. In particular, the impact of R&D spending changes from being statistically insignificant when using symmetric ARDL estimation to becoming significant when applying asymmetrical estimation methods. The findings remain largely consistent across different subsamples and alternative measurements of variables.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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