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 ...
(2021), have used quarterly data in the empirical test using the CS-ARDL model. This research is related to the implications of governance, natural resources, and security threats on economic development. In the empirical study related to the impact of the oil price on mineable and non-mine...
, and energy consumption on carbon dioxide (CO2) emissions in five South Asian countries (Bangladesh, Pakistan, India, Nepal, and Sri Lanka) under the umbrella of the famous stochastic regression for impact for technology, population, and asset on environmental condition (STIRPAT) model. ...
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 carbon emissions metric ton ...
Anser MK (2019) Impact of energy consumption and human activities on carbon emissions in Pakistan: application of STIRPAT model. Environ Sci Pollut Res 26(13):13453–13463 ArticleCASGoogle Scholar An H, Razzaq A, Haseeb M, Mihardjo LW (2021) The role of technology innovation and people’s...
After including this variable, the model becomes: GDPit= α0+α1 𝐿GDPit+α2 Exchange rate regimeit+ α3 Exchange rate volatilityit+ α4 Degree of trade opennessit + α5 Inflationit+ α6 FDIit+ α7 Foreign Debtit+ α8 Financial system developpementit+εit...