A. Rehman Et Al. , "Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis," ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36, pp.50623-50635, 2021
Rehman, A. Et Al. 2021. Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36 , 50623-50635.
Rehman, A., Ma, H., Ahmad, M., Ozturk, I., & IŞIK, C., (2021). Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36, 50623-50635.
Rehman, Abdul Et Al. "Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis," ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36, 50623-50635, 2021
Rehman, Abdul Et Al. "Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis." ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36, pp.50623-50635, 2021
Rehman, A. Et Al. (2021) . "Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis." ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH , vol.28, no.36, pp.50623-50635.
@article{article, author={Abdul Rehman Et Al. }, title={Estimating the connection of information technology, foreign direct investment, trade, renewable energy and economic progress in Pakistan: evidence from ARDL approach and cointegrating regression analysis}, journal={ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH}, year=2021, pages={50623-50635} }