Institutional Quality and Economic Growth in Tanzania

Vincent Gibogwe, Ayine R.S. Nigo, Karen Kufuor
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Abstract

In this paper, we use the ARDL method to find the Impact of institutional quality on economic growth in Tanzania from 1990 to 2021. The ARDL technique frees variables from residual correlation as all variables are assumed to be endogenous. They distinguish between dependent and explanatory variables in any long-run relationship, identify the co-integrating vectors with multiple co-integrating vectors, and derive the Error Correction Model (ECM) or Error Correction Model (ECM) Vector Error Correction Model (VECM) by integrating short-run adjustments with long-run equilibrium without losing extended-run information. Our results show all adjustment terms in the respective models that have a long-run relationship have correct (negative) signs and are more than one, implying there is convergence in the long run; that is, the models returned to their long-run equilibrium; the rate (or speed) at which this happened ranged between 15% to 106.6% annually. Institutional quality has a significant affirmative (0.047) causal long-run effect on economic growth
坦桑尼亚的制度质量与经济增长
本文采用ARDL方法研究了1990 - 2021年坦桑尼亚制度质量对经济增长的影响。ARDL技术将变量从残差相关中解放出来,因为所有变量都被假定为内生的。他们区分任何长期关系中的因变量和解释变量,用多个协整向量识别协整向量,并通过将短期调整与长期均衡相结合而不丢失长期信息,推导出误差修正模型(ECM)或误差修正模型(ECM)向量误差修正模型(VECM)。我们的研究结果表明,在各自的模型中,具有长期关系的所有调整项都有正确的(负)符号,并且不止一个,这意味着长期存在收敛;也就是说,模型回到了它们的长期均衡;这种情况发生的速率(或速度)在每年15%到106.6%之间。制度质量对经济增长具有显著的正向(0.047)因果关系
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