Exploring asymmetric dynamics of R&D spending and firm value nexus: Insights from panel autoregressive distributed lag analysis

Abstract 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.

Authors

Institutions

Publication Details

Journal
Managerial and Decision Economics
Published
2024-08-20
DOI
https://doi.org/10.1002/mde.4362
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring asymmetric dynamics of R&D spending and firm value nexus: Insights from panel autoregressive distributed lag analysis

Balwinder Singh, Navjot Kaur
Managerial and Decision Economics
Energy, Environment, Economic Growth
article

Exploring asymmetric dynamics of R&D spending and firm value nexus: Insights from panel autoregressive distributed lag analysis

Balwinder Singh, Navjot Kaur
article en

Abstract

Abstract 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.

Managerial and Decision EconomicsVol. 46(1)
Guru Nanak Dev University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.