Achieving sustainable growth in emerging economies: Insights from advance method moment of quantile regression

Afshan, Sahar; Yaqoob, Tanzeela; Ho, Wai Kee; Leong, Ken Yien

doi:10.1016/j.gr.2023.08.003

Cited by 7 publications

References 71 publications

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Exploring the impact of green finance and technological innovation on green economic growth: Evidence from emerging market economies

Ali,

Li,

Zhang

et al. 2024

Sustainable Development

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The sustainable future of emerging market economies (EMEs) lies within achieving sustainable development goals (SDGs), specifically SDG 8, which is linked with green economic growth (GEG) and its determinants, such as green finance (GF) and technological innovation (TI), along with some control variables. However, the current literature has insufficiently addressed these determinants in the context of emerging and developing economies. In this regard, this study deployed the most effective and advanced techniques like cross‐sectional auto‐regressive distributed lags, augmented mean group, and common correlated effects mean group to handle the issues of endogeneity, cross‐sectional dependence, and heterogeneity, which is not an easy task for conventional methods used in existing studies. This study has compiled a panel data set spanning from 2000 to 2019, across 13 EMEs. The main outcomes revealed that GF, TI, and human capital (HC) help in fostering significant GEG, whereas financial development (FD) and economic globalization (ECOGLB) fail. The study underscores the need for policymakers to focus on the promotion of diffusion of GF and enhancement of TI and HC while regulating the FD and ECOGLB process to steer emerging nations toward sustainable development.

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