2020
DOI: 10.4018/ijabim.2020070102
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Dynamic Causality Among FDI, Economic Growth and CO2 Emissions in India With Open Markets and Technology Gap

Abstract: This study examines the causality relationships between FDI, economic growth (in terms of GDP) and the natural environment, in terms of CO2 emissions and energy consumption, along with two more variables of interest i.e., trade openness and technology gap in the context of India. The data used in the study is obtained from World Development Indicators (WDI) of the World Bank Group for the period 1980 to 2014. The study employed the dynamic multivariate Toda-Yamamoto (TY) approach that uses the modified Wald (M… Show more

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Cited by 13 publications
(7 citation statements)
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“…Among the drawbacks of the TY causality test is the inability to predict the relative strength of causalities between the variables beyond the period under study. Sankaran et al [ 119 ], Rana and Sharma [ 120 , 121 ], and Wang and Ngene [ 122 ] suggested to overcome this problem by using the Wald or modified Wald (MWald) tests, but Hayashi et al [ 123 ] and Lemonte [ 124 ] demonstrated that, in small samples when used empirically to search for unimportant parameters, the Wald test procedure could be misleading. In furtherance of Zhang et al [ 125 ], Mao et al [ 126 ], Adebayo [ 97 ], and Chan et al [ 127 ], we used variance decomposition instead of the Wald test to explore the strengths of inter-variables causal interactions and to reveal potential causality impacts.…”
Section: Methodsmentioning
confidence: 99%
“…Among the drawbacks of the TY causality test is the inability to predict the relative strength of causalities between the variables beyond the period under study. Sankaran et al [ 119 ], Rana and Sharma [ 120 , 121 ], and Wang and Ngene [ 122 ] suggested to overcome this problem by using the Wald or modified Wald (MWald) tests, but Hayashi et al [ 123 ] and Lemonte [ 124 ] demonstrated that, in small samples when used empirically to search for unimportant parameters, the Wald test procedure could be misleading. In furtherance of Zhang et al [ 125 ], Mao et al [ 126 ], Adebayo [ 97 ], and Chan et al [ 127 ], we used variance decomposition instead of the Wald test to explore the strengths of inter-variables causal interactions and to reveal potential causality impacts.…”
Section: Methodsmentioning
confidence: 99%
“…Management Volume 16 Number 7, October 2021: 318-331 The role of energy consumption and its attending environmental consequences are missing from the above literature. Although numerous FDI-energy or FDI and environment literature are recently available (Essandoh et al, 2019;Yilanci, 2019;Akram, 2020;Do & Dinh, 2020;Jiang et al, 2020;Mahmood et al, 2020;Mukhtarov et al, 2020;Nguyen et al, 2020;Rana & Sharma, 2020;Wang et al, 2020;Yüksel., et al 2020), they are mainly on the role of FDI on energyrelated variables, but not the other way round, except for a recent study by Yüksel, et al (2020), who uses a bivariate model to prove the negative effect of CO2 on FDI. Essandoh et al (2019) studied both developed and developing economies in terms of the environmental effect of trade and FDI and suggested that both are critical forces in determining CO2 emissions.…”
Section: Empirical Literature Reviewmentioning
confidence: 99%
“…Using Modified Wald, Rana and Sharma (2020) checked the causality of FDI, GDP and environment alongside the openness and technological gap over the period of 1980-2014. They were able to traced the causality from FDI to trade and CO2, which signifies that FDI is the source of environmental degradation via energy consumption and its resulting CO2 remittance in India.…”
Section: Journal Of Sustainability Science Andmentioning
confidence: 99%
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