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Does technology have a lead or lag role in economic growth? The case of selected resource-rich and resource-scarce countries

Sakib Bin Amin, Farhad Taghizadeh-Hesary, Farhan Khan and Faria Manal Rahman

Resources Policy, 2024, vol. 89, issue C

Abstract: This paper's main aim is to analyse the linkage between technology and Long-Run (LR) Economic Growth (EG) in the context of selected countries with and without abundant natural resources, considering a balanced panel dataset from 1994 to 2019. We find the existence of cross-sectional dependence across the total and split samples of resource-rich and resource-scarce countries. Given the high persistence of cross-sectional dependence, we apply the second-generation Durbin-Hausman cointegration test and find that the variables from the proposed models across samples indicate cointegrated relationships in the LR. We use the second-generation dynamically improvised Cross-Sectional Distributed Lag (CS-DL) method for the LR estimations. We reveal that there is a significant growth dynamics heterogeneity between and within resource-rich and resource-scarce cohorts. Countries within each cohort have been progressing regarding the technological impact in the LR EG due to their respective development stages, behavioural patterns, and group-specific economic structural aspects. However, we find evidence of the resource curse symptom between sub-cohorts since the impact of technology on LR EG is greater in sub-cohorts that have limited resources. We also provide a few useful recommendations, such as improving human capital for better adaption of technology and institutional reforms in resource-rich countries.

Keywords: Economic growth; Technology; Resource curse; Resource-rich countries; Resource-poor countries; Institutions; Refroms (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420723012692

DOI: 10.1016/j.resourpol.2023.104558

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