Using the Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) model, the analysis accounts for cross-sectional dependencies and heterogeneities within the panel data, with the Dumitrescu and Hurlin Granger cointegration test confirming causal relationships. The results indicate a significant ...
In literature, a limited set of high-quality research works can be quoted, where the high-frequency data is used for panel unit root test, panel granger causality, and the CS-ARDL model. The evidence from the literature discussion on the high-frequency data usage in the panel unit root ...
By estimating an ECM version of the novel CS-ARDL model, we find robust evidence of both short-run and long- run adverse effects of aggregate government expenditure on private investments. Increases in productive expenditure have no significant effect on the long-run dynamics of private investments...
By estimating an ECM version of the novel CS-ARDL model, we find robust evidence of both short-run and long- run adverse effects of aggregate government expenditure on private investments. Increases in productive expenditure have no significant effect on the long-run dynamics of private investments...
The logistic regression model was used for association analyses in the discovery cohort. In the discovery dataset, none of the p-values met the stringent and perhaps overly conservative Bonferroni correction for genome-wide significance (Figure 1A). The distribution of p-values examined in the ...
The present study utilizes G7 data from 1990 to 2020 to conduct an empirical analysis employing a cross-sectional autoregressive distributed lag (CSARDL) panel model. The primary objective of this investigation is to examine the influence of R&D expenditure (R&DE) on...
The autoregressive distributed lag (ARDL) approach was used to analyse data for 36 years, from 1984 to 2020. The results reveal that corruption contributes to greater environmental degradation in the short run, while foreign direct investment does not. However, in the long run, corruption and ...
Voumik LC, Sultana T (2022) Impact of urbanization, industrialization, electrification and renewable energy on the environment in BRICS: fresh evidence from novel CS-ARDL model. Heliyon 8(11):e11457.. (ISSN 2405-8440 https://doi.org/10.3390/ijerph20054000 ...
The long-run CS-ARDL model results show that renewable energy R&D and fossil fuel R&D have a positive and significant impact on energy productiv- ity in all model specifications, with renewable energy R&D exhibiting a relatively stronger impact compared to fossil fuel R&D. The long-run effects ...