2023
DOI: 10.1108/agjsr-04-2023-0152
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Renewable energy development, unemployment and GDP growth: South Asian evidence

Abstract: PurposeThis study aims to investigate the interplay between renewable energy development, unemployment and GDP growth within Bangladesh, India, Pakistan and Sri Lanka. The research underscores the significant role of renewable energy plays in stimulating economic growth and mitigating unemployment, offering crucial policy insights for sustainable growth in South Asia.Design/methodology/approachUtilizing the autoregressive distributive lag (ARDL) framework and Toda Yamamoto causality through the vector autoregr… Show more

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Cited by 6 publications
(3 citation statements)
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“…Both tests were run at different levels and first differences to confirm the stationarity or the need for differencing of the variables. Only after affirming stationarity, we can proceed with the ARDL modeling, ensuring that the foundation for our model and analysis is both reliable and valid (Rahman, 2023; Rahman et al , 2023).…”
Section: Analysis and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Both tests were run at different levels and first differences to confirm the stationarity or the need for differencing of the variables. Only after affirming stationarity, we can proceed with the ARDL modeling, ensuring that the foundation for our model and analysis is both reliable and valid (Rahman, 2023; Rahman et al , 2023).…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…This approach is suitable for analyzing both long- and short-term dynamics among variables that are stationary at either I(0) or I(1) levels, but not at I(2). The selection of an appropriate lag length for the ARDL model was informed by the Akaike information criterion (AIC), a methodology also used in studies by Rahman et al (2023).…”
Section: Analysis and Discussionmentioning
confidence: 99%
“…(1). However, if I (2) variables are present, the approach cannot predict the ideal outcomes (Rahman et al, 2023;Abedin et al, 2020;Oteng-Abayie & Frimpong, 2006).…”
Section: Unit Root Testmentioning
confidence: 99%