Multivariate Time Series Analysis to Impact Assessment of Nominal Economic Indicators on Federal Government Revenue and Economic Growth in Nigeria

Jonathan Iworiso
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Abstract

Nigeria has all it takes to become Sub-Saharan Africa’s largest economy and a key contributor in the global economy as a result of her agricultural and natural resource endowment. Unfortunately, these resources are not sufficiently and efficiently utilized, resulting to some negative economic implications such as underdeveloped economy in world ranking, high unemployment status, poor standard of living, abject poverty, devaluating currency, lack of technological innovations and unstable economy among others. This paper investigates the impact of the Oil and Non-Oil producing sectors to Federal Government Revenue and Economic Growth in Nigeria, using the concept of multivariate time series vector autoregressive (VAR) model. The basic concepts and techniques of multivariate time series modelling and analysis such as Granger Causality tests; Lag Length Selection based on Information Criteria; Augmented Dickey-Fuller and Phillips-Perron Unit Root tests; Kwiatkowski-Phillips-Schmidt-Shin (kpss) Trend & Level Stationarity tests; Sectoral Contributions to Federal Government Revenue, Economic Growth and Growth Rates using Line & Bar Graphs are discussed in detail. The study applied a model for predicting annual Federal Government Revenue and Economic Growth at any time using their respective historical monetary values together with the historical monetary values of the other economic indicators. The empirical findings in this paper revealed that the Federal Government Revenue and Economic Growth are predictable using their historical values together with the historical values of the other indicators. Furtherance to the statistically significant contribution of both the Oil and Non-Oil producing sectors, it is imperative to diversify the Nigerian economy in order to boost Federal Government Revenue, improve the standard of living, alleviate poverty, create employment opportunities and accelerate a long-run sustainable Economic Growth and stability.
名义经济指标对尼日利亚联邦政府收入和经济增长影响评估的多元时间序列分析
由于农业和自然资源禀赋,尼日利亚具备成为撒哈拉以南非洲最大经济体和全球经济关键贡献者的一切条件。不幸的是,这些资源没有得到充分和有效的利用,造成了一些负面的经济影响,例如世界经济排名不发达、失业率高、生活水平差、赤贫、货币贬值、缺乏技术创新和经济不稳定等等。本文采用多元时间序列向量自回归(VAR)模型的概念,研究了尼日利亚石油和非石油生产部门对联邦政府收入和经济增长的影响。多元时间序列建模与分析的基本概念和技术,如格兰杰因果检验;基于信息标准的延迟长度选择增广Dickey-Fuller和Phillips-Perron单位根检验kwiatkowski - philips - schmidt - shin (kpss)趋势与水平平稳性检验;使用线形图和条形图详细讨论了部门对联邦政府收入、经济增长和增长率的贡献。该研究应用了一个模型,在任何时候使用各自的历史货币价值以及其他经济指标的历史货币价值来预测年度联邦政府收入和经济增长。本文的实证结果表明,联邦政府收入和经济增长与其他指标的历史值可以共同预测。为了促进石油和非石油生产部门在统计上的重大贡献,尼日利亚必须实现经济多元化,以增加联邦政府收入,提高生活水平,减轻贫困,创造就业机会,加速长期可持续的经济增长和稳定。
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