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Macroeconomic Variables and Value Creation in the Nigerian Quoted Companies

机译:尼日利亚引用公司的宏观经济变量和价值创建

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This study uses 1,425 observations, relating to firm level and time series data sets, to examine the effect of macroeconomic variables on the economic value created by the Nigerian quoted companies. The data described macroeconomic variables such as inflation (INF), interest rates (INT), capital expenditure ratio of government (CAR) foreign exchange rates (FRXG), gross domestic product (GDPG) and the developments in the capital (CMKG) and labour market (LBMG) and the economic value added (EVA) by 186 purposively selected quoted companies for the years 2001-2012. To allow for comparison, the companies were categorized into two sub-sectors: manufacturing (715 observations) and services (710 observations). The study uses descriptive and inferential statistical tools such as mean, standard deviation, correlation, pooled ordinary least square (OLS) regression and generalized method of moments (GMM) techniques to analyze data. The study found that EVA followed an autoregressive function after one period and lagged EVA was included in model. Due to the problem of heteroskedasticity, Generalized Method of Moment results were relied upon and significant (positive and negative) impact of CAR (β = -0.0173, p<0.05), FRXG (β = 0.00857, p < 0.01), INF (β = -0.00896, p < 0.05), INT (β = 0.0262, p < 0.1) and LBMG (β = 0.00158, p < 0.01) on EVA was found, for all the companies. We concluded that value creation, measured by EVA, is a function of prior year EVA and that inflation rate, interest rate, foreign exchange rate, capital expenditure ratio and the development in labour market were important macroeconomic factors that should be improved upon if quoted companies were to optimally create economic value in Nigeria.
机译:本研究采用了1,425个观察,与企业级别和时间序列数据集有关,研究宏观经济变量对尼日利亚引用公司创造的经济价值的影响。该数据描述了宏观经济变量,如通货膨胀(INF),利率(INT),资本支出比例(汽车)外汇税率(FRXG),国内生产总值(GDPG)和资本发展(CMKG)和劳动力的发展市场(LBMG)和经济增值(EVA)在2001 - 2012年的宗旨中被选为186年的宗旨。为了允许比较,公司被分为两个子部门:制造业(715个观察)和服务(710个观察)。该研究使用描述性和推理统计工具,例如平均值,标准偏差,相关性,汇总普通最小二乘(OLS)回归和普遍的矩(GMM)技术来分析数据。该研究发现,在一个时期和滞后的EVA中包含在模型中,EVA遵循自回归函数。由于异源性的问题,依赖于汽车的普遍存算方法(β= -0.0173,P <0.05),FRXG(β= 0.00857,P <0.01),INF(β找到-0.00896,P <0.05),为所有公司发现EVA的INT(β= 0.0262,P <0.1)和LBMG(β= 0.00158,P <0.01)。我们得出结论,EVA衡量的价值创造是前一年EVA的职能,并且通货膨胀率,利率,外汇汇率,资本支出比率和劳动力市场的发展是重要的宏观经济因素,应该改善引用公司是最佳地在尼日利亚创造经济价值。

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