Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/246643 
Year of Publication: 
2020
Citation: 
[Journal:] Future Business Journal [ISSN:] 2314-7210 [Volume:] 6 [Issue:] 1 [Publisher:] Springer [Place:] Heidelberg [Year:] 2020 [Pages:] 1-14
Publisher: 
Springer, Heidelberg
Abstract: 
This paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto's (J Econom 66(1-2):225-250, 1995. https://doi.org/10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.
Subjects: 
Causality
Corruption control
Economic growth
Governance
The rule of law
JEL: 
C01
K0
O4
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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