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An analysis of the impact of oil price shocks on the growth of the Nigerian economy: 1970-2011

机译:1970-2011年石油价格冲击对尼日利亚经济增长的影响分析

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This paper examines the impact of oil price shocks on Nigerian economic growth while controlling the effects of unrest in the international oil market, exchange rate and agriculture output using quarterly time series data from 1970:q1-20011:q4.The broad objective of the study is to evaluate the long run relationship among the variables namely; oil price, exchange rate, agriculture output, unrest and economic growth. The research applied ADF unit root tests to ascertain the stationary of the series and also employed Johansen and Juselius (1990) trace and maximal eigenvalue tests to ensure long-run relationship among the variables under the study. In addition, structural Vector Autoregression (SVAR) is also applied in examining the link between the shocks emanating from oil price, unrest and their impacts on economic growth. The finding from ADF revealed that all the series at level are not stationary but stationary at first difference with constant. Moreover, the findings from SVAR using the Impulse response functions (IRFs) and variance decompositions (VDCs) indicated that the response of oil price shocks and unrest to (rGDP) economic growth depicts both positive and negative impact, i.e. long-run impact on economic growth exists. The study concludes that oil price, exchange rate, agriculture output and unrest contained some useful information in predicting the future path of economic growth in Nigeria. It, therefore, recommends that government should diversified the economy from oil to non oil sectors base and to improving the security situation in the Niger Delta with a view to boosting oil output, hence leading to increased revenue and by implication growth of the economy.
机译:本文使用1970:q1-20011:q4的季度时间序列数据,研究了石油价格冲击对尼日利亚经济增长的影响,同时控制了国际石油市场动荡,汇率和农业产出的影响。就是评估变量之间的长期关系;石油价格,汇率,农业产量,动荡和经济增长。该研究应用ADF单位根检验来确定该序列的平稳性,并采用Johansen和Juselius(1990)的迹线和最大特征值检验来确保所研究变量之间的长期关系。此外,结构矢量自回归(SVAR)也被用于检验油价,动荡及其对经济增长的影响之间的联系。 ADF的发现表明,所有级别的序列都不是平稳的,而是一阶恒定不变的平稳。此外,SVAR使用脉冲响应函数(IRFs)和方差分解(VDCs)得出的结果表明,石油价格冲击和动荡对(rGDP)经济增长的响应既体现了正面影响,也反映了负面影响,即对经济的长期影响存在增长。该研究得出的结论是,石油价格,汇率,农业产量和动荡都包含一些有用的信息,可以用来预测尼日利亚的未来经济增长道路。因此,它建议政府应该使经济从石油转向非石油部门,并改善尼日尔三角洲的安全状况,以期提高石油产量,从而增加收入并暗示经济增长。

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