4.7 Article

Response of Pakistan's economic growth to macroeconomic variables: an asymmetric analysis

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 30, Issue 13, Pages 36557-36572

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-022-24677-z

Keywords

Economic growth; Sustainable development goal indexes; Time series analysis; VECM; NARDL; Pakistan

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This study examines the impact of important macroeconomic variables on economic growth, including quality of education, infrastructure development, foreign direct investment inflow, and green energy transitions. The results show that quality education, foreign direct investment inflow, and infrastructure development have a significant positive role in the economic growth of Pakistan. The study also finds a unidirectional causality from education and green energy transition towards economic growth, with education being related to infrastructure. Additionally, a bidirectional causal relationship is found between FDI and infrastructure towards economic growth, indicating that increased foreign investment can boost the economy.
This study examines the impact of several important macroeconomic variables such as quality of education, infrastructure development, foreign direct investment inflow, and green energy transitions on economic growth. We analyzed annual time series data sample for estimation of the above macroeconomic indicators during 1990 to 2020. We use nonlinear auto-regressive distributive lag model (NARDL) approach to detect the short-term and long-term effects of undermentioned macroeconomic variables on economic growth of Pakistan. The results primarily reveal that the quality education, foreign direct investment inflow, and infrastructure development are playing a significant positive role in the economic growth of Pakistan. Similarly, in short term the foreign direct investment inflow, infrastructure, and green energy transition coefficients are significantly positive related to sustainable development goals. However, the education found as unsubstantial as contributive as other variables. Moreover, the Granger causality and structural break estimations are employed to estimate the causal association between the selected parameters and unexpected change over the economy. The estimated outcomes find the unidirectional causality from education and green energy transition towards economic growth, where education is found within relation to infrastructure. Additionally, bidirectional causal relationship is found between FDI and infrastructure towards economic growth which shows that the increase in foreign investment has the potential to boost the economic growth. Finally, all the estimated indexes are considered as important sources towards the economic growth.

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