 Natural resource dependence and innovation efficiency reconsideredKenneth Wilson and Nico Vellinga Resources Policy, 2022, vol. 77, issue C Abstract: In a recent contribution to Resources Policy titled ‘Natural resource dependence and economic growth: A TOPSIS/DEA analysis of innovation efficiency’, Mehdi Namazi and Emran Mohammadi (2018) propose a method for analyzing innovation efficiency and how it may help countries blighted by the resource curse to develop their innovation policies. Namazi and Mohammadi provide the first published research that combines data envelopment analysis (DEA) and the technique for order of preferences by similar to ideal solution (TOPSIS) to evaluate innovation efficiencies of countries. Their method enables them to also generate the innovation efficiency ‘improvability’ scores and innovation efficiency ‘resilience’ scores. However, their results are generated by infeasible linear programs and they committed a number of other errors that make their innovation efficiencies ‘inefficient’ and their findings meaningless. In this paper we suggest a way to overcome their infeasibility problems and correct their other errors. Once their errors are corrected and their method is used properly we believe their approach has merit. Keywords: TOPSIS and DEA; Innovation improvability; Innovation resilience; Innovation efficiency; Resource curse; National innovation system (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:77:y:2022:i:c:s0301420722001325 DOI: 10.1016/j.resourpol.2022.102684 Access Statistics for this article Resources Policy is currently edited by R. G. Eggert More articles in Resources Policy from Elsevier |
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