scholarly journals Do public and internal debt cause income inequality? Evidence from Kenya

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wilkista Lore Obiero ◽  
Seher Gülşah Topuz

PurposeThis study aims to determine whether there is an effect of internal and public debt on income inequality in Kenya for the period 1970–2018.Design/methodology/approachThe relationship is examined by using the Autoregressive Distributed Lag (ARDL) model by Pesaran et al. (2001) and Toda Yamamoto causality by Toda and Yamamoto (1995).FindingsOur findings suggest that both internal and public debt harm inequality in Kenya in the long term. Furthermore, a one-way causality from internal debt to income inequality is also obtained while no causality relationship is found to exist between public debt and income inequality. Based on these findings, the study recommends that to reduce income inequality levels in Kenya, other methods of financing other than debt financing should be preferred because debt financing is not pro-poor.Originality/valueThis study is unique based on the fact that no previous paper has analysed the debt and inequality relationship in Kenya. To the best of our knowledge, this will be the first study to analyse the applicability of redistribution effect of debt in Kenya. The study is also different in that it provides separate analysis for public debt and internal debt on their effects on income inequality.

2021 ◽  
Author(s):  
Alper Aslan ◽  
BUKET ALTINOZ ◽  
BAKİ OZSOLAK

Abstract This study investigates the relationship between urbanization and air pollution in Turkey. Dynamic ARDL method was used for the period 1960–2014. According to the findings, there is a positive and statistically significant relationship between long-term urbanization and Co2. If urbanization increased by 1%, carbon emissions increased by 0.02%. There is a similar relationship between the shocks that will occur in population growth and Co2 emission in the long term. However, there is a negative and statistically insignificant relationship between the two variables. In the relationship between GDP and Co2, there is a positive relationship in the long term. GDP increase of 1% increases Co2 emissions by 0.11%. There is a similar relationship between long-term GDP shocks and Co2 emissions. According to short-term analysis results, energy consumption increases Co2 emissions by the same rate as GDP. However, the astonishing result of the study emerges here. Empirical results show that a long-term positive shock in energy consumption reduces CO2 emissions and a negative shock increases pollution. According to these results, Turkey has not reached the point of sustainable growth. For this reason, this developing country needs to make regulatory implementations and determine future policies for these impacts affecting air pollution.


2021 ◽  
Vol 922 (1) ◽  
pp. 012034
Author(s):  
G Syamni ◽  
Wardhiah ◽  
Zulkifli ◽  
M J A Siregar ◽  
Y A Sitepu

Abstract This paper is conducted to examine the relationship between the use of renewable energy and FDI in Indonesia. The data used in this study is secondary data that has been published by the World Bank and accessed in www.Data.worldbank.org. periode 2004-2019. The data analysis method used is the autoregressive distributed lag (ARDL) method. The results of the study found that the use of renewable energy in the short and long term has a positive effect on Indonesia’s economic growth. Meanwhile, the same thing is also shown from the FDI variable in the short term and long term which has a significant positive effect on economic growth and has a positive effect on economic growth. Finally, with this finding, it is concluded that both the short and long term the Indonesian government needs to make a breakthrough to explore renewable energy sources for economic growth.


Author(s):  
Zulfa Nazli ◽  
Abd. Jamal ◽  
Muhammad Nasir

This study investigates the effect of economic growth, urban population, unemployment, and human capital on income inequality in Indonesia. Annual data collected from World Development Indicator (WDI) is used from 1984 to 2019. The analytical method of this research is Autoregressive distributed lag (ARDL) to examine the short and long-term relationships. The results show that economic growth positively and significantly affects income inequality in the short and long term. The urban population variable has a significant negative effect in the short term but not in the long term. The unemployment variable has a significant positive effect in the long run. Finally, human capital negatively affects the short term while not in the long term. Based on these findings, it is recommended that the government stabilize inequality by increasing progressive taxes, creating jobs, providing soft skills training beyond formal education, and socializing the concept of commuter work.


2021 ◽  
Vol 66 (231) ◽  
pp. 151-171
Author(s):  
Pratibha Saini ◽  
Krishna Muniyoor

The main purpose of this study is to examine the debt-growth nexus in India over the period 1984-2019 using Bayer-Hanck and Autoregressive Distributed Lag (ARDL) cointegration techniques. The findings of both techniques suggest the existence of a negative relationship between public debt and economic growth in the long run. The results also confirm the significant negative relationship between foreign exchange reserves and economic growth. Interestingly, the test results confirm the unidirectional causality running from public debt to economic growth in the case of India. From a policy perspective, reducing public debt is imperative to achieve long-term sustainable growth. Efforts should be made to circumvent the burden of burgeoning interest liabilities by generating a primary surplus, which will facilitate debt servicing and timely repayment of debt.


2019 ◽  
Vol 11 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Ashok Babubudjnauth ◽  
Boopendra Seetanah

Purpose The purpose of this paper is to find out the impact of real exchange rate on foreign direct investment (FDI) in Mauritius. Design/methodology/approach Autoregressive distributed lag time series methodology is used. Findings Real exchange rate depreciation enhances inflows of FDI in both the short and long run. Originality/value The research is original, and data used are from official sources.


2021 ◽  
Author(s):  
ANTHONY IMOISI

Abstract This paper examines the relationship between fiscal policy and public debt sustainability in Nigeria within a multivariate framework from 1970–2019. The autoregressive distributed lag (ARDL) bounds test is employed to determine the long run relationship among the variables. The results of the ARDL test reveal that there is a long run relationship between the variables used in this study. Specifically, the result shows that budget deficit has a positive and significant impact on public debt both in the short run and long, while interest rate, real gross domestic product and inflation rate were statistically insignificant irrespective of the period and thus had no impact on public debt. Thus, it was recommended that the budgeting procedure at the federal and state levels in Nigeria need to reassessed to make sure that allocative efficiency is achieved in the budgeting system.


2020 ◽  
Vol 22 (2) ◽  
pp. 281-296
Author(s):  
John Gartchie Gatsi ◽  
Michael Owusu Appiah

PurposeThe study explores the relationship among economic growth, population growth, gross savings and energy consumption over the period 1987– 2017.Design/methodology/approachThe autoregressive distributed lag (ARDL) bounds test approach by Pesaran et al. (2001) was employed to investigate variables for the study.FindingsIn the key findings, both gross savings and population growth negatively affect economic growth. However, energy consumption has positive impact on economic growth.Practical implicationsThese findings call for policy portfolios to address the impacts of gross savings and population growth on economic development. In particular, the financial sector needs to be revamped to be more efficient in channeling funds from the surplus units to the deficit units. It is recommended that investment be made in financial and technological innovation to provide efficient access to credits and other financial products even though individual savings may not move with economic growth.Originality/valueMany studies have explored the nexus between savings and economic growth without considering population growth and energy consumption. In this study, the relationship among savings, economic growth, population growth and energy consumption provide additional knowledge in policy formulation.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bongumusa Prince Makhoba ◽  
Irrshad Kaseeram ◽  
Lorraine Greyling

PurposeThe primary purpose of the study is to analyse the asymmetric effects of public debt on economic growth, using secondary data over the period 1980–2018 in South Africa.Design/methodology/approachThis study estimated a Smooth Transition Regression (STAR) and Nonlinear Autoregressive Distributed Lag (NARDL) approach, using time series data to analyse the asymmetric effect of public debt on economic growth in South Africa.FindingsThe findings revealed a significant nonlinear relationship between public debt and economic growth in South Africa. The results showed an inverted U-Shape relationship, implying a significant positive influence of public debt on economic growth during the low-debt regime. While during a high-debt regime, public debt exerted a significant negative effect on economic growth. The study proposes that policymakers ought to consider targeting a sustainable debt threshold that would enhance efficient use of public finances consistent with long-term economic prosperity.Originality/valueThis paper asymmetries and threshold effects between public debt and economic growth in South Africa, through the application of dynamic nonlinear models namely, Smooth Transition Regression (STAR) and Nonlinear Autoregressive Distributed Lag (NARDL) approach. Studies on the relationship under examination have predominantly been confined in advanced economies. This study provides rigorous empirical evidence from the South African perspective.


2019 ◽  
Vol 13 (2) ◽  
pp. 377-401 ◽  
Author(s):  
Ismail Olaleke Fasanya ◽  
Temitope Festus Odudu ◽  
Oluwasegun Adekoya

Purpose This paper aims to model the relationship between oil price and six major agricultural commodity prices using monthly data from January 1997 to December 2016. Design/methodology/approach The authors use both the linear autoregressive distributed lag by Pesaran et al. (2001) and the nonlinear autoregressive distributed lag by Shin et al. (2014), and they also account for structural breaks using the Bai and Perron (2003) test that allows for multiple structural changes in regression models. Findings These findings are discernible from the authors’ analyses. First, the linear analysis indicates a significant positive effect of oil prices on the agricultural commodity prices, which supports evidence on the non-neutrality hypothesis. Second, oil price asymmetries seem to matter more when dealing with agricultural commodity prices, except for groundnut. Third, it may be necessary to pre-test for structural breaks when modelling the relationship between oil price and agricultural prices regardless of the commodity being analysed. Fourth, the asymmetric effect for the agricultural commodity prices is non-neutral to oil prices, except for rice in the case of structural breaks. Originality/value This paper contributes to the on-going debate on the oil–agricultural commodity nexus using the recent technique of asymmetry and also considering the role structural breaks play in the relationship between oil price and agricultural commodity prices.


2019 ◽  
Vol 31 (6) ◽  
pp. 983-1006
Author(s):  
You-How Go ◽  
Lin-Sea Lau ◽  
Kwang-Jing Yii ◽  
Wee-Yeap Lau

This paper empirically examines the relationship between energy efficiency, CO2 emissions, foreign direct investment, exports, and real gross domestic product at both aggregate and disaggregate levels in Malaysia based on an autoregressive distributed lag approach. The annual data for the period of 1971–2013 are employed. The results indicate that energy efficiency Granger causes economic growth at the aggregate level, but not in each of the three main sectors (primary, secondary, and tertiary) of the economy. Another important finding of the study is that the export-led growth hypothesis is found to be valid in Malaysia at both the aggregate and disaggregate levels. The results of our study also confirm the fact that CO2 emissions do affect the overall economic performance and growth in all sectors, except for the primary sector. This finding implies that pollution from both secondary and tertiary sectors has led to economic growth in Malaysia. Moreover, it is also discovered that foreign direct investment does not have a significant impact on economic growth in Malaysia. The results of this study are essential for policymakers of Malaysia in designing appropriate policies in each sector that can lead to robust growth in the country. In addition to focusing on enhancing energy efficiency and promoting foreign direct investment, the policymakers should also start to look for alternative strategies to ensure long-term economic growth in the country.


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