From non‐renewables to renewables and high‐tech production: The impact of natural wealth and technology on ecological load capacity in sub‐Saharan Africa

IF 2 4区经济学 Q2 DEVELOPMENT STUDIES

Review of Development Economics Pub Date : 2024-09-18 DOI:10.1111/rode.13161

Chinazaekpere Nwani, Kingsley Ikechukwu Okere, Stephen Kelechi Dimnwobi, Emmanuel Uche, Paul Terhemba Iorember

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引用次数: 0

Abstract

In the face of growing sustainability challenges, this study examines the ecological impacts of natural wealth (NR) and tech‐driven industrial diversification (TID) in sub‐Saharan Africa (SSA). It employs the load capacity factor (LCF), utilizing a panel dataset spanning from 1991 to 2020. The findings reveal that renewable (forest) resources exert a positive and significant influence on LCF, primarily at lower quantiles. When the resource basket is adjusted to include mineral resources, this impact turns negative across all quantiles, with statistical significance evident at the upper quantiles. Further modifications to the resource basket, including energy extraction such as oil, coal, and natural gas, yield a statistically significant negative impact on LCF across the lower, median, and upper quantiles. Additionally, TID has a positive impact on LCF in the upper quantiles. Robustness analysis confirms that the covariates indeed Granger‐cause LCF. This finding also indicates that the causal equation is significantly influenced by past values of NR and TID. The Half‐Panel Jackknife estimator reaffirms that, on average, TID has a positive effect on LCF in the region. These findings suggest enhancing growth through renewables and industrial capacity in medium‐ and high‐tech industries as part of broader sustainability strategies in the SSA region.

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从不可再生能源到可再生能源和高科技生产：自然财富和技术对撒哈拉以南非洲生态负荷能力的影响

面对日益严峻的可持续发展挑战，本研究探讨了撒哈拉以南非洲地区（SSA）自然财富（NR）和技术驱动型产业多样化（TID）对生态环境的影响。研究采用了负载能力系数 (LCF)，利用了 1991 年至 2020 年的面板数据集。研究结果表明，可再生（森林）资源对 LCF 有积极而显著的影响，主要是在较低的数量级。当调整资源篮子以包括矿产资源时，这种影响在所有量级上都转为负值，在高量级上具有明显的统计意义。进一步修改资源篮子，将能源开采（如石油、煤炭和天然气）纳入其中后，在统计意义上对 LCF 的低分位数、中位数和高分位数都产生了显著的负面影响。此外，贸易与工业发展对上量化组的 LCF 有积极影响。稳健性分析证实，协变量确实是 LCF 的格兰杰原因。这一结果还表明，因果方程受 NR 和 TID 过去值的显著影响。半面板积刀估计法再次证实，平均而言，贸易与工业发展对该地区的 LCF 有积极影响。这些研究结果表明，通过可再生能源和中高技术产业的工业能力来促进增长，是撒哈拉以南非洲地区更广泛的可持续发展战略的一部分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Review of Development Economics Multiple-

CiteScore

3.20

自引率

6.20%

发文量

109

期刊介绍： The Review of Development Economics is a leading journal publishing high-quality research in development economics. It publishes rigorous analytical papers, theoretical and empirical, which deal with contemporary growth problems of developing countries, including the transition economies. The Review not only serves as a link between theorists and practitioners, but also builds a bridge between development economists and their colleagues in related fields. While the level of the Review of Development Economics is academic, the materials presented are of value to policy makers and researchers, especially those in developing countries.