{"title":"Institutional Quality and Economic Growth in Tanzania","authors":"Vincent Gibogwe, Ayine R.S. Nigo, Karen Kufuor","doi":"10.57017/jorit.v1.2(2).04","DOIUrl":null,"url":null,"abstract":"In this paper, we use the ARDL method to find the Impact of institutional quality on\n economic growth in Tanzania from 1990 to 2021. The ARDL technique frees variables from residual\n correlation as all variables are assumed to be endogenous. They distinguish between dependent\n and explanatory variables in any long-run relationship, identify the co-integrating vectors with\n multiple co-integrating vectors, and derive the Error Correction Model (ECM) or Error Correction\n Model (ECM) Vector Error Correction Model (VECM) by integrating short-run adjustments with\n long-run equilibrium without losing extended-run information. Our results show all adjustment\n terms in the respective models that have a long-run relationship have correct (negative) signs\n and are more than one, implying there is convergence in the long run; that is, the models\n returned to their long-run equilibrium; the rate (or speed) at which this happened ranged\n between 15% to 106.6% annually. Institutional quality has a significant affirmative (0.047)\n causal long-run effect on economic growth\n","PeriodicalId":165708,"journal":{"name":"Journal of Research, Innovation and Technologies (JoRIT)","volume":"39 6","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research, Innovation and Technologies (JoRIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.57017/jorit.v1.2(2).04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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