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Government size and economic growth in Kenya: a multivariate dynamic causal linkage

机译:肯尼亚政府规模和经济增长:多变量动态因果关系

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This study empirically examines the dynamic causal relationship between government size and economic growth in Kenya during the 1970-2017 period using the autoregressive distributed lag (ARDL) bounds testing approach. A multivariate Granger-causality model was used in order to reduce the omission-of-variable bias, which has been found to be associated with bivariate Granger-causality models. For this purpose, the study used domestic investment and trade openness as intermittent variables between government size (proxied by government final consumption expenditure) and economic growth. The results of the study are consistent with the Keynesian view as they reveal that, in Kenya, there is a distinct unidirectional causal flow from government size to economic growth - both in the short run and in the long run. This shows that, in Kenya, government expenditure Granger-causes real sector growth. Based on these results, policy makers in Kenya are recommended to pay special attention to the national government size when implementing growth-enhancing policies.
机译:本研究在1970 - 2017年期间使用自回归分布式滞后(ARDL)界限检测方法在1970 - 2017年期间举行了肯尼亚政府规模和经济增长之间的动态因果关系。使用多变量格子 - 因果态模型以减少可变的偏差,这些偏差被发现与双变量格子 - 因果模型相关联。为此目的,研究在政府规模(由政府最终消费支出所代理)和经济增长之间使用国内投资和贸易开放。该研究的结果与凯恩斯人认为,在肯尼亚,在肯尼亚,政府规模与经济增长有不同的单向因果流动 - 无论是短期,从长远来看。这表明,在肯尼亚,政府支出格兰杰 - 导致实际部门的增长。基于这些结果,肯尼亚的决策者建议在实施增长增长政策时特别注意国家政府规模。

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