尼日利亚农业增长的就业强度

A. Adeniyi, T. Adeniyi
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摘要

农业对就业的贡献超过50%,在今后一段时间内将继续为尼日利亚提供大部分就业机会。因此,必须确定农业增长的就业强度,以推进有助于解决失业问题的政策。从国家统计局和尼日利亚中央银行收集了1981年至2014年的时间序列二手数据,这些数据是基于2010年不变基本价格、就业、工资率、通货膨胀率和利率的重新计算的国内生产总值(GDP)和部门总增加值(GVA)。这些变量被整理并汇总成一个数据表。采用单位根检验检验变量的平稳性。使用向量误差修正模型(VECM)回归测量部门就业增长弹性。数据分析采用描述性统计和VECM, α 0.05。农业部门就业弹性为-0.13,表明在此期间,该部门的产出增长是通过提高生产率而不是通过增加就业来实现的。农业部门就业取决于GVA增长(农业β = -0.13;工资率(β = -0.023)、利率(β = -0.011)、通货膨胀率(β = -0.002)和跨期(t-x)关系。农业就业依赖于上一年农业工资率(β =-0.023)和上一年农业产出(β = -0.13)。过去两年在农业领域的工作经历(农业t-2;β = -1.94)上年度农业产出(GVA农业t-1;β =-0.13)和上一年度工资率(工资率t-1;β =-0.023)限制当年农业就业。在本报告所述期间,总增加值增长对农业就业产生了负面影响。工资、通货膨胀和利率降低了就业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Employment Intensity of Agricultural Growth in Nigeria
At over 50 per cent employment contribution, agriculture will continue to provide the bulk of employment in Nigeria for some time to come. It, therefore, becomes imperative to determine the employment intensity of agricultural growth with a view to advancing policies that will help to tame the unemployment problem. Time series secondary data covering 1981 to 2014 on the rebased Gross Domestic Product (GDP) and sectoral Gross Value Added (GVA) at 2010 constant basic prices, employment, wage rate, inflation rate and interest rate were collected from the National Bureau of Statistics and the Central Bank of Nigeria on the agricultural sector. The variables were collated and summarised into a table of data. The unit root test was carried out to test for stationarity of variables. Sectoral employment elasticities of growth were measured using Vector Error Correction Model (VECM) regression. Data was analysed using descriptive statistics and VECM at α 0.05. Agriculture sectoral elasticity of employment was -0.13, indicating that output growth in the sector, during the period, was achieved through productivity increases rather than the employment of more persons. Agricultural sectoral employment depended on GVA growth (agriculture β = -0.13 ; wage rate ( β = -0.023), interest rate ( β = -0.011), inflation rate ( β = -0.002), and the inter-temporal (t-x) relationships. Employment in agriculture depended on previous year’s wage rate ( β =-0.023) in agriculture and previous year’s agricultural output ( β = -0.13). Previous two years’ employment in agriculture (agriculture t-2 ; β = -1.94) previous year’s agricultural output (GVA agriculture t-1; β =-0.13) and previous year’s wage rate (wage rate t-1; β =-0.023) limit current year’s agricultural employment. Gross Value Added growth affected agricultural employment negatively in the period under review. Wage, inflation, and interest rates reduced employment.
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