The impact of public debt on economic growth in Côte d'Ivoire: New evidence from linear and non-linear ARDL approaches

Author:

Saungwem Talknice1,Maluleke Glenda2,Odhiambo Nicholas M.3

Affiliation:

1. 1 Department of Economics , University of South Africa , South Africa

2. 2 Department of Economics , University of South Africa , South Africa

3. 3 Department of Economics , University of South Africa , South Africa

Abstract

Abstract This study examines the symmetric and asymmetric impact of public debt on economic growth in Côte d'Ivoire using time series data from 1972 to 2021. The analyses were performed using both linear and nonlinear autoregressive distributed lag (ARDL) models. The study also utilised the bounds F-test for cointegration, the Brock-Dechert-Scheinkman (BDS) nonlinearity test, and the Wald test for asymmetries. The findings of the bounds F-test provide support for both linear and nonlinear cointegration. The BDS test results indicate that the series are nonlinear, while Wald test results revealed an asymmetric relationship between public debt and economic growth in Côte d'Ivoire in the short run and symmetric relationship in the long run. Estimation results for the symmetric ARDL regression model provide no evidence of a statistically significant impact of public debt on economic growth, regardless of whether the analysis was conducted in the short run or long run. The NARDL findings indicate that, on average, positive changes to public debt lead to economic decline in the long run, while negative changes cause an economic upturn in the short run. The findings also show that GDP growth responds rapidly and strongly to negative changes in public debt. Therefore, the study encourages the government of Côte d'Ivoire to be cautious about public debt rise because it was established that they have a negative impact on economic growth. Negative changes in the public debt can serve to minimise the uncertainties in the business environment, thus promoting private, public, and foreign direct investments.

Publisher

Croatian Statistical Association

Subject

Mechanical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3