尼日尔外债与经济增长:向量自回归与方差分解分析

Issoufou Oumarou
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引用次数: 0

摘要

在追求经济快速发展的过程中,许多撒哈拉以南非洲(SSA)国家借钱来资助其预算赤字和重要的基础设施。尼日尔的外债年复一年地增加,却没有真正实现经济发展。本研究使用向量自回归(VAR)模型来研究尼日尔外债与经济增长之间的关系,并使用方差分解预测来验证未来5年的冲击是否存在重大影响。该研究使用了世界银行提供的1970年至2019年期间的时间序列年度数据。实证结果表明,尼日尔的经济增长、外债和政府支出之间不存在长期关系。结果还表明,在其他条件相同的情况下,过去实现的经济增长与经济增长增长的相关性为97.75%,而过去实现的外债和政府支出分别与外债和政府支出增长的相关性为83.77%和79.70%。结果进一步表明,经济增长在短期内对政府支出具有统计显著的因果效应。在其他条件相同的情况下,经济增长每增加1个百分点,财政支出平均增加35.28%。方差分解预测表明,经济增长对预测未来政府支出有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External Debt and Economic Growth in Niger: a Vector Autoregression and Variance Decomposition Analysis
Abstract In the quest for quick economic development, many Sub Saharan African (SSA) countries borrow money to finance their budget deficits and vital infrastructure. Niger has seen its external debt increase year after year without really reaching economic development. This study uses a vector autoregressive (VAR) model to investigate the relation linking external debt and economic growth in Niger and variance decomposition forecast to verify if there is any significant impact from shocks for a period of 5 years in the future. The study utilises time series yearly data provided by the World Bank for the period covering 1970–2019. The empirical results reveal no long-run relationship between economic growth, external debt and government spending in Niger. The results also indicated that, on average ceteris paribus, the past realisation of economic growth is related to an increase of 97.75 % in economic growth, while the past realisation of external debt and government spending is associated with an increase of 83.77 % and 79.70 % in external debt and government spending, respectively. The results furthermore show that economic growth has a statistically significant causal effect on government spending in the short term. One percentage increase in economic growth accounts for an increase of 35.28 % in government spending on average ceteris paribus. The variance decomposition forecast reveals that economic growth has a significant influence on predicting government spending in the future.
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