scholarly journals The Nexus Between Financial Development, Economic Growth and Poverty Alleviation: PMG-ARDL Estimation

ETIKONOMI ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 1-12
Author(s):  
Benjamin Korankye ◽  
Zuezhou Wen ◽  
Michael Appiah ◽  
Louisa Antwi

This study aims to find out the connections between financial development, economic growth, and poverty using panel data from 1985 to 2017 in fourteen African countries that many previous researchers ignore. The study deploys a dynamic Granger causality test to trace the nexus between financial development, economic growth, and poverty reduction in Africa in the long run. First, the upshots suggest a gross domestic product, gross capital formation, price of household consumption, and government expenditure substantially impacting poverty. Besides that, the result also shows a bi-directional in the long run using a PMG estimator. The findings broadly support the view that there is a stable, short-run relationship between financial development, economic growth, and poverty in the error correction terms. However, other variables show no causal relationship in the short run. In practicality, this study suggested some policy implications and supported governmental policies to reduce economic hardship on financial institutions.JEL Classification: G10, O47, I39, C33How to Cite:Korankye, B., Wen, X., Appiah, M., & Antwi, L. (2021). The Nexus Between Financial Development, Economic Growth, and Poverty Alleviation: PMG-ARDL Estimation. Etikonomi: Jurnal Ekonomi, 20(1), 1 – 12. https://doi.org/10.15408/etk.v20i1.15908.

ETIKONOMI ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 13-22
Author(s):  
Md. Qaiser Alam ◽  
Md. Shabbir Alam

The paper examines the response of poverty reduction based on financial development and economic growth in India. The ARDL and ECM based model techniques analyze the long-run and short-run relationship among the variables in the model. The long-run estimates depict that financial development and economic growth have not significantly impacted poverty reduction and, on the other hand, resulted in injecting inequality and becoming attended to wealthier sections of the society. The short-run estimates show that financial development and economic growth have successfully tried to reduce poverty in India. The results flash a long-run nature of poverty in India and need to designs and formulations of policies that should be instrumental in reducing poverty. Impulse Response Functions' application indicates that poverty reduction will act as a catalyst for further poverty reduction in India.JEL Classification: I32, B26, O40, R15How to Cite:Alam, M. Q., & Alam, M. S. (2021). Financial Development, Economic Growth, and Poverty Reduction in India. Etikonomi: Jurnal Ekonomi, 20(1), 13 – 22. https://doi.org/10.15408/etk.v20i1.18417.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


Author(s):  
Busrat Abidemi Agbaje ◽  
Ekele Idachaba

An important prerequisite for reducing poverty, sustainable development and achievement of the millennium development goal has to some extent been tied to access to electricity. However, the subject matter; 'electricity consumption causing economic growth' has seen conflicting results from the theoretical and empirical front, if indeed a relationship exist at all. The study tests, within a panel context the long-run relationship between electricity consumption and economic growth for 13 African Countries from 2006 to 2017 by employing recently developed panel co-integration techniques. Implementing a three stage approach made up of panel unit root, panel co-integration and Granger causality test to examine the causal relationship between electricity consumption, electricity price, corruption, employment and growth. The study provides empirical evidence that a bidirectional causal relationship between electricity consumption and economic growth exist in the short run, suggesting that lack of electricity could hamper economic growth as well as an investment in electricity infrastructure would in turn improve economic growth. Also reveals that corruption causes the level of electricity consumption and GDP in the short run. On the long-run front electricity consumption and electricity price granger causes GDP and GDP causes electricity consumption.


SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401982885 ◽  
Author(s):  
Festus Victor Bekun ◽  
Seyi Saint Akadiri

Agricultural advancement is considered a panacea for poverty reduction, particularly, in developing countries. This study empirically investigates the dynamic linkage between agricultural value added (AVA) and poverty reduction for a panel of nine countries in Southern Africa using a second-generation panel approach for the period 1990 to 2015. Empirical results show that agricultural development is necessary but not a sufficient policy to combat poverty as it is only viable in the short run. Thus, we suggest long-run economic programs and/or strategies that will complement agricultural development toward poverty alleviation to spur economic growth in the sampled region.


2019 ◽  
Vol 65 (No. 5) ◽  
pp. 223-231 ◽  
Author(s):  
Gbolahan Olowu ◽  
Godwin Oluseye Olaseinde-Williams ◽  
Murad Bein

The paper examines empirically the impacts of agricultural sector value added and financial development on unemployment, using yearly data from 1995–2015. Eleven developing Southern African Development Community countries were selected for the study. The empirical analysis was carried out using second-generation econometric methods. The regression results revealed that both agricultural value added and financial development are important determinants of unemployment within the region. The results specifically show that agricultural value added is negatively associated with unemployment in both the short and long-run, although the long-run effect is many times bigger than the short-run impact. The results also show that in the long-run, both financial depth and financial efficiency are negatively associated with unemployment. Interactions between agricultural value added financial development and unemployment were further tested via panel bootstrap causality tests. The causality test results revealed the existence of significant one-way causality from agricultural value added to unemployment and from financial depth to unemployment for the region. It also showed that causality varies across individual countries within the region with different conditions, indicating the heterogeneous nature of the countries that make up the regional bloc.<br />


2018 ◽  
Vol 13 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Sovia Dewi ◽  
M. Shabri Abd. Majid ◽  
Salina Kassim ◽  

Abstract Although the poverty rate in Indonesia has been declining in the last several years, the rate of poverty decline is slowing down. In order to achieve its poverty reduction target within the stipulated time period, the government has stepped up efforts to enhance the contribution of the financial sector towards poverty reduction. This study aims to empirically explore the interlinkages between financial sector development and poverty reduction in Indonesia. Focusing on annual data covering the period from 1980 to 2015, the study adopts the Autoregressive Distributed Lag (ARDL) cointegration approach to examine the long-run relationship between the variables. The study found that there is a long-run relationship between financial development, economic growth, and poverty reduction in Indonesia. It also documented a unidirectional causality running from the financial sector to poverty reduction and a bidirectional causality between economic growth and poverty reduction. Therefore, policies to ensure the conducive growth of the financial sector would go a long way in promoting the economy, creating employment opportunities, and consequently accelerating poverty eradication


2019 ◽  
Vol 12 (2) ◽  
pp. 93-111
Author(s):  
Ayad Hicham ◽  
Belmokaddem Mostefa ◽  
Sari Hassoun Salah Eddin

AbstractSince the previous periods, poverty reduction has been a big concern for many countries especially in developing countries like Algeria; in this paper, we shall explore the causal relationship between poverty reduction, economic growth and financial development in Algeria during the period of 1970-2017, the aim of this research is to answer the question which sector causes the poverty reduction: real sector or financial sector? Therefore, we employed the modern frequency domain causality presented by Breitung and Candelon (2006) with a comparison with the time domain causality under Lutkepohl (2006) procedure, the results suggest that there is unidirectional causality running from the real sector (economic growth) to poverty rates in the short and long run terms, also, we found that there is an unidirectional causality running from the financial sector to poverty rates only in the long run term, while another causality running from poverty rates to the financial sector but in the short run term. This article aims at contributing to enlarge the literature review by utilizing the frequency domain causality in the field of poverty studies because of its effectiveness to test the causalities in different frequencies.


2021 ◽  
pp. 097639962110238
Author(s):  
Geetilaxmi Mohapatra ◽  
Arun Kumar Giri

This study attempts to examine the main forces affecting short-run and long-run carbon emission patterns due to changes in economic growth, income inequality and poverty in India over the period 1982–2018. For this purpose, it uses the autoregressive distributed lag (ARDL) cointegration technique and the vector error correction model (VECM) based on Granger causality tests. The stationary properties of the variables are checked using the Ng–Perron test. The results of the ARDL bounds test confirm the long-run relationship among the variables. Further, the ARDL coefficient confirms that economic growth and poverty increase carbon emissions in both the short and long run. The empirical findings of the causality test indicate the presence of short-run causality running from economic growth and poverty reduction to environmental degradation. Hence, the study recommends that policymakers must devote more attention to alleviating poverty and reducing income inequalities through redistributing transfers, investing on universal access to health and education, implementing progressive taxation policies, empowering women and enforcing the Clean India mission, which will have a positive impact on reducing environmental degradation in India. Further, the study also recommends appropriate environmental regulations that can substantially stimulate innovations to increase energy efficiency and thereby reduce carbon dioxide (CO2) emissions.


2016 ◽  
Vol 43 (2) ◽  
pp. 106-122 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

Purpose – The purpose of this paper is to examine the relationship between financial sector development and poverty reduction in India using annual data from 1970 to 2012. The paper attempts to answer the critical question: does financial sector development lead to poverty reduction? Design/methodology/approach – Stationarity properties of the series are checked by using Ng-Perron unit root test. The paper uses the Auto Regressive Distributed Lag (ARDL) bound testing approach to co-integration to examine the existence of long-run relationship; error-correction mechanism for the short-run dynamics and Granger non-causality test to test the direction of causality. Findings – The co-integration test confirms a long-run relationship between financial development and poverty reduction for India. The ARDL test results suggest that financial development and economic growth reduces poverty in both long run and short run. The causality test confirms that there is a positive and unidirectional causality running from financial development to poverty reduction. Research limitations/implications – This study implies that poverty in India can be reduced by financial inclusion and financial accessibility to the poor. For a fast growing economy with respect to financial sector development this may have far-reaching implication toward inclusive growth. Originality/value – This paper is the first of its kind to empirically examine the causal relationship between financial sector development and poverty reduction in India using modern econometric techniques.


2017 ◽  
Vol 8 (4) ◽  
pp. 90 ◽  
Author(s):  
Yaya Keho

This paper examines the relationship between financial development, economic growth and poverty reduction in nine African countries for the period 1970-2013. It uses the ARDL bounds testing approach. The results show evidence of long-run relationship among the variables in height countries with GDP and financial deepening having a positive effect on poverty reduction in five countries (Benin, Cameroon, Cote d’Ivoire, Gabon and South Africa), and poverty reduction having a positive effect on economic growth in three countries (Ghana, Nigeria and Senegal). The study also reveals bidirectional long-run causality between economic growth and poverty reduction in Cote d’Ivoire, Gabon and South Africa, and bidirectional long-run causality between finance and poverty reduction in Benin, Cameroon and South Africa. These findings suggest that policies aimed at increasing economic growth and improving access to credit would reduce poverty but also that measures of poverty reduction would lead to economic growth and financial deepening in these countries.


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