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Nigerian economic policy response to COVID‐19: An evaluation of policy actors' views

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  • Makuachukwu G. Ojide
  • Chigozie O. Agu
  • Precious Ohalete
  • Emmanuel Chinanuife

Abstract

COVID‐19 has caused economic hardship globally. Several economies are making efforts to cushion these negative effects. Following the lockdown and downward trend of global oil prices, the Nigerian economy has been hard hit. This paper sheds light on policy actors' views vis‐à‐vis what should be the economic policy response of the Nigerian government to cushion the effects of COVID‐19 and ensure quick economic recovery. A multistage random sampling method was used to select and interview 635 policy actors drawn from academia/research institutes, civil society organizations, development partners, international NGOs, national NGOs, the private sector, and the public sector. The study adopted a participatory development approach. Descriptive and deductive analysis methods were used. The results support direct cash transfers to households, and small and medium scale enterprises (SMEs) as the policy option that would have huge impact in mitigating the economic effects of COVID‐19 in Nigeria. The second most recommended policy option is the eradication of corruption among government officials. The paper recommends that pragmatic actions towards eradicating corrupt practices among government officials should be an integral part of any economic recovery policy in Nigeria and other emerging economies. 2019冠状病毒病（COVID‐19）已造成全球经济困难。多个经济体正努力缓解这些消极效果。在限制出行和全球油价形势走低之后，尼日利亚遭受重创。就尼日利亚政府为缓解COVID‐19和确保快速的经济复苏而应采取的经济政策响应而言，本文阐述了政策行动者的观点。使用多阶段随机抽样法，选取并采访了635名政策行动者，他们来自学术/研究机构、公民社会组织、发展伙伴、国际非政府组织、国家非政府组织、私人部门和公共部门。本研究采用了参与式发展法。使用了描述性分析法和演绎分析法。研究结果支持将“对家庭和中小型企业（SMEs）发放直接现金转移”一事作为政策选项，这将对缓解尼日利亚COVID‐19经济效果产生巨大影响。第二个政策选项则是消除政府官员腐败。本文建议，用于消除政府官员腐败实践的实际行动应成为尼日利亚以及其他发展中经济体的经济恢复政策不可缺少的一部分。 COVID‐19 ha causado dificultades económicas a nivel mundial. Varias economías están haciendo esfuerzos para amortiguar estos efectos negativos. Tras el bloqueo y la tendencia a la baja de los precios mundiales del petróleo, la economía nigeriana se ha visto muy afectada. Este documento arroja luz sobre las opiniones de los actores políticos con respecto a cuál debería ser la respuesta de política económica del gobierno de Nigeria para amortiguar los efectos de COVID‐19 y garantizar una recuperación económica rápida. Se utilizó un método de muestreo aleatorio de etapas múltiples para seleccionar y entrevistar a 635 actores políticos provenientes de instituciones académicas/de investigación, organizaciones de la sociedad civil, socios para el desarrollo, ONG internacionales, ONG nacionales, el sector privado y el sector público. El estudio adoptó un enfoque de desarrollo participativo. Se utilizaron métodos de análisis descriptivo y deductivo. Los resultados respaldan las transferencias directas de efectivo a los hogares y las pequeñas y medianas empresas (PYME) como la opción de política que tendría un gran impacto en la mitigación de los efectos económicos de COVID‐19 en Nigeria. La segunda opción de política más recomendada es la erradicación de la corrupción entre los funcionarios del gobierno. El documento recomienda que las acciones pragmáticas para erradicar las prácticas corruptas entre los funcionarios del gobierno deben ser una parte integral de cualquier política de recuperación económica en Nigeria y otras economías emergentes.

Suggested Citation

  • Makuachukwu G. Ojide & Chigozie O. Agu & Precious Ohalete & Emmanuel Chinanuife, 2022. "Nigerian economic policy response to COVID‐19: An evaluation of policy actors' views," Poverty & Public Policy, John Wiley & Sons, vol. 14(1), pages 69-85, March.
    • Handle: RePEc:wly:povpop:v:14:y:2022:i:1:p:69-85
    DOI: 10.1002/pop4.332
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    1. Jörg Bibow, 2013. "At the crossroads: the euro and its central bank guardian (and saviour?)," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 37(3), pages 609-626.
    2. Ricardo J. Caballero & Mohamad L. Hammour, 2005. "The Cost of Recessions Revisited: A Reverse-Liquidationist View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 313-341.
    3. James Crotty, 2012. "The great austerity war: what caused the US deficit crisis and who should pay to fix it?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 36(1), pages 79-104.
    4. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    5. Lutz Kilian & Bruce Hicks, 2013. "Did Unexpectedly Strong Economic Growth Cause the Oil Price Shock of 2003–2008?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 385-394, August.
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