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Institutional Quality and Economic Growth in Tanzania

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Author(s):
  • Vincent GIBOGWE School of Organisations, Economy and Society, Westminster Business School , University of Westminster, UK
  • Ayine NIGO School of Organisations, Economy and Society, Westminster Business School , University of Westminster, UK
  • Karen KUFUOR School of Organisations, Economy and Society, Westminster Business School , University of Westminster, UK
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.


© 2022 The Author(s). Published by RITHA Publishing. This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.


How to cite:

Gibogwe, V., Nigo, A.R.S., & Kufuor, K. (2022). Institutional Quality and Economic Growth in Tanzania. Journal of Research, Innovation and Technologies, Volume I, 2(2), 141-154. https://doi.org/10.57017/jorit.v1.2(2).04


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