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Ekonomska Istraživanja
Article . 2023 . Peer-reviewed
License: CC BY
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Sustainable economic growth via human capital and cleaner energy: evidence from non-parametric panel methods

Authors: Boya Sun; Wenzhong Zhu; Nafeesa Mughal; Tolassa Temesgen Hordofa; Rinat Zhanbayev; Iskandar Muda;

Sustainable economic growth via human capital and cleaner energy: evidence from non-parametric panel methods

Abstract

The association between resource rents and economic growth is one of the key issues that have attracted the attention of both policymakers and scholars. Several attempts have been made regarding the association, yet the literature holds the gap. The present research intends to explore the connection between natural resource volatility and economic performance in seven (G-7) countries. For the time frame from1990 to 2020, this study also examines the role of technological innovation (TI), human capital (HCI), and research and development budget for renewable energy (RER&D). Empirical results asserted that the variables under study are cointegrated. Employing a novel non-parametric panel quantile method of moments regression and quantile-on-quantile, the outcomes propose that natural resources volatility significantly affects EP throughout the quantiles. This negative impact is valid for the aggregate panel of countries and cross-sections. Natural resource volatility supports the resource curse hypothesis for G7 economies. On the other hand, HCI and TI are significant economic performance factors. From lower to higher quantiles, the magnitude and significance levels increase. The variable for cleaner energy investment is also positively related to economic performance yet insignificant in the higher quantile. The study recommends channeling natural resource rents to effectively and fully transfer the full potential of natural resources to other real sectors of the economy to fully utilize the benefit from it.

Country
Croatia
Related Organizations
Keywords

Human capital; economic performance; technological innovation; method of moments quantile regression

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold