Impact of minerals rent on green growth: Evidence from the wavelet and quantile-based approaches

Yongliang Zhao, Shabir Mohsin Hashmi, Qasim Raza Syed and Tomiwa Sunday Adebayo

Politická ekonomie, vol. preprint

Abstract: The aim of this study is to investigate whether minerals rent (MR) impacts green growth (GG). To this end, annual time series data for BRICS countries is adopted that covers the period 1990-2021. To provide robust empirical outcomes, we employ two novel methods: the novel wavelet quantile regression (WQR) approach; and the novel quantile-on-quantile kernel-based regularized least squares (QQKRLS) model. The findings from the novel WQR delineate that minerals rent promotes green growth across the quantiles, in all BRICS members, during the short and medium run. However, minerals rent hinders green growth in all BRICS members (except for South Africa) in the long run. Next, the general findings from the novel QQKRLS model report that minerals rent leads to low levels of green growth across the quantiles of minerals rent and green growth, with the exception of South Africa. The results are also consistent during the sensitivity analysis. Based on the core findings that validate the natural resource curse hypothesis, we propose pertinent policy implications.

Keywords: Green growth; minerals rent; natural resources curse hypothesis; wavelet quantile regression; quantile-on-quantile kernel-based regularized least squares; machine learning (search for similar items in EconPapers)
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DOI: 10.18267/j.polek.1552

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