Natural resource dependence and innovation efficiency reconsidered

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.

Automated summary

Namazi and Mohammadi propose a method to evaluate innovation efficiency using DEA and TOPSIS, but their results are affected by infeasible linear programs and other errors, making them inefficient. Suggestions for overcoming these issues and potential merit of their approach are also discussed.