资助未来:尼日利亚通过政府支出与贫困作斗争

Temitope Adebayo
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引用次数: 0

摘要

本研究采用向量误差修正模型(VECM)框架,调查了1981年至2022年尼日利亚政府支出在减少贫困发生率方面的有效性。研究分析了贫困发生率与政府支出、人均GDP、农业信贷担保计划基金(ACGSF)、中等教育毛入学率等关键变量的关系。利用时间序列数据和协整分析,该研究揭示了政府支出与减贫之间存在显著的长期关系,政府支出增加1%对应的贫困率降低0.05个百分点。然而,误差修正机制表明调整过程明显缓慢(-0.000376),表明减贫努力存在结构性障碍。虽然从长期来看,政府支出显示出显著的减贫效果,但分析显示,其他政策工具的短期动力薄弱,效力有限。这项研究发现了一个自我强化的贫困循环的证据,过去的贫困水平显著影响当前的贫困率。这些调查结果强调需要更全面和持续的政策干预,特别是在解决尼日利亚社会经济发展倡议中减少贫困的结构性障碍和提高政府支出分配效率方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Funding the future: Nigeria's battle against poverty through government expenditure
This study investigates the effectiveness of government expenditure in combating the incidence of poverty in Nigeria from 1981 to 2022, employing a Vector Error Correction Model (VECM) framework. The research analyzes the relationship between poverty incidence and key variables including government expenditure, GDP per capita, Agricultural Credit Guarantee Scheme Fund (ACGSF), and gross enrollment ratio in secondary education. Using time series data and cointegration analysis, the study reveals a significant long-run relationship between government expenditure and poverty reduction, with a 1 % increase corresponding to a 0.05 percentage point reduction in poverty incidence. However, the error correction mechanism indicates a notably slow adjustment process (-0.000376), suggesting structural impediments to poverty reduction efforts. While government expenditure demonstrates significant poverty-reducing effects in the long run, the analysis reveals weak short-run dynamics and limited effectiveness of other policy instruments. The study finds evidence of a self-reinforcing poverty cycle, with past poverty levels significantly influencing current poverty rates. These findings underscore the need for more comprehensive and sustained policy interventions, particularly in addressing structural barriers to poverty reduction and improving the efficiency of government expenditure allocation in Nigeria's socioeconomic development initiatives.
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