Financial development and poverty reduction in India: an empirical investigation

2016 ◽  
Vol 43 (2) ◽  
pp. 106-122 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Financial Development ◽  
Poverty Reduction ◽  
Financial Sector ◽  
Annual Data ◽  
Causality Test ◽  
Content Type ◽  
Financial Sector Development ◽  
Long Run ◽  
Integration Test ◽  
Short Run

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.

Financial development and income inequality in India: an application of ARDL approach

2015 ◽  
Vol 42 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Income Inequality ◽  
Financial Development ◽  
Trade Openness ◽  
Development Economic ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
The Relationship

Purpose – The purpose of this paper is to examine the relationship between financial development and income inequality in India using annual data from 1982-2012. Design/methodology/approach – Stationarity properties of the series are checked by using ADF, DF-GLS, KPSS and Ng- Perron unit root tests. The paper applied the auto regressive distributed lag (ARDL) bound testing approach to co-integration to examine the existence of long run relationship; and error correction mechanism for the short run dynamics. Findings – The co-integration test confirms a long run relationship between financial development and income inequality for India. The ARDL test results suggest that financial development, economic growth, inflation aggravates the income inequality in both long run and short run. However, trade openness reduces the gap between rich and poor in India. Research limitations/implications – The present recommend for appropriate economic and financial reforms focussing on financial inclusion to reduce income inequality in India. Originality/value – Till date, there is hardly any study that makes a clear comparison between market-based indicator and bank based indicator of financial development in India and those examining the relationship between finance and income inequality nexus. Further there is hardly any study to include gini coefficient as a proxy for inequality for India and apply ARDL techniques of co-integration, using the basic principles of GJ hypothesis and provide short run and long run dynamics for India. So the contribution of the paper is to fill these research gaps.

Financial development and economic growth: empirical evidence from India

2015 ◽  
Vol 32 (3) ◽  
pp. 340-356 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Positive Impact ◽  
Annual Data ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Short Run ◽  
Sustainable Economic Growth

Purpose – The purpose of this paper is to examine the relationship between financial development and economic growth in India using annual data from 1982 to 2012. Design/methodology/approach – The stationarity properties are checked by ADF, DF-GLS, KPSS and Ng–Perron unit root tests. The long- and short-run dynamics are examined by using the autoregressive distributed lag (ARDL) approach to co-integration. Findings – The co-integration test confirms a long-run relationship in financial development and economic growth for India. The analysis of ARDL test results reveals that both bank-based and market-based indicators of financial development have a positive impact on economic growth in India. Hence, the results support the supply-leading hypothesis and highlight the importance of financial development in economic growth. The findings also indicate that the Indian bank-centric financial sector has the potential for economic growth through credit transmission. Research limitations/implications – The present study recommends appropriate reforms in financial markets to attain sustainable economic growth. The findings are useful for policy-makers who want to maintain a parallel expansion of financial development and growth. Originality/value – To date, there are hardly any studies that use both market-based and bank-based indicators as proxies of financial development and analyze their role in economic growth in India. So, the contribution of the paper is to fill this gap in literature.

Is tourism pro-poor in India? An empirical investigation using ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manu Sharma ◽  
Geetilaxmi Mohapatra ◽  
Arun Kumar Giri
Keyword(s):  
Economic Growth ◽  
Poverty Reduction ◽  
Tourism Development ◽  
Annual Data ◽  
Critical Question ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Tourism Sector ◽  
Short Run

PurposeThe purpose of this paper is to examine the relationship between tourism sector development and poverty reduction in India using annual data from 1970 to 2018. The paper attempts to answer the critical question: Is tourism pro-poor in India?Design/methodology/approachStationarity properties of the series are checked by using the ADF unit root test. The paper uses the Auto Regressive Distributed Lag (ARDL) bound testing approach to cointegration to examine the existence of long-run relationships; error-correction mechanism for the short-run dynamics, and Granger non-causality test to test the direction of causality.FindingsThe cointegration test confirms a long-run relationship between tourism development and poverty reduction for India. The ARDL test results suggest that tourism development and economic growth reduces poverty in both the long run and the short run. Furthermore, inflation had a negative and significant short-run impact on the poverty reduction variable. The causality test confirms that there is a positive and unidirectional causality running from tourism development to poverty reduction confirming that tourism development is pro-poor in India.Research limitations/implicationsThis study implies that poverty in India can be reduced by tourism sector growth and price stability. For a fast-growing economy with respect to economic growth and tourism sector growth, this may have far-reaching implications toward inclusive growth in India.Originality/valueThis paper is the first of its kind to empirically examine the causal relationship between tourism sector development and poverty reduction in India using modern econometric techniques.

Financial development and poverty reduction: panel data analysis of South Asian countries

2016 ◽  
Vol 43 (4) ◽  
pp. 400-416 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri
Keyword(s):  
Panel Data ◽  
Financial Development ◽  
South Asian ◽  
Poverty Reduction ◽  
Causality Test ◽  
Panel Causality ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Asian Economies

Purpose – The purpose of this paper is to examine the contribution of financial development to poverty reduction in 11 South Asian developing countries using panel data set over the time period 1990-2012. Design/methodology/approach – The stationarity properties are checked by using Levin-Lin-Chu and Im-Pesaran-Shin panel unit root tests. The paper applied the Pedroni’s panel co-integration test to examine the existence of long-run relationship. The coefficients of co-integration are examined by fully modified OLS (FMOLS) and the causal link is checked by panel causality test. Findings – The empirical results of Pedroni co-integration test confirm a long-run relationship between financial development and poverty reduction in South Asian developing economies. The findings of FMOLS method confirm a strong and positive relationship between financial development, trade openness, inflation and poverty reduction. Results of panel causality test indicate that there is a unidirectional causality running from financial development to poverty reduction variable. Research limitations/implications – The present study recommends appropriate economic and financial reforms focussing on financial inclusion to reduce poverty in selected South Asian economies. Originality/value – This paper is the first of its kind to empirically examine the causal relationship between financial sector development and poverty reduction in South Asian economies using modern econometric techniques.

scholarly journals The drivers of economic growth in China and India: globalization or financial development?

2017 ◽  
Vol 16 (1) ◽  
pp. 54-84 ◽  
Author(s):  
Magda Kandil ◽  
Muhammad Shahbaz ◽  
Mantu Kumar Mahalik ◽  
Duc Khuong Nguyen
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Emerging Market ◽  
Annual Data ◽  
Test Results ◽  
Causality Test ◽  
Content Type ◽  
China And India ◽  
Integration Test ◽  
The Impact

Purpose Using annual data from 1970 to 2013 for China and India, this paper aims to examine the impact of globalization and financial development on economic growth by endogenizing capital and inflation and drawing comparisons between the two fastest growing emerging market economies. Design/methodology/approach In the long run, co-integration test results indicate that financial development increases economic growth in China and India. Findings The results also reveal that globalization accelerates economic growth in India but, surprisingly, impairs economic growth in China, as it increases competition for exports. The results furthermore disclose that acceleration in capitalization and inflation, as a proxy for aggregate demand, are positively linked to economic growth in China and India. Originality/value Causality test results indicate that both financial development and economic growth are interdependent. In contrast, causality runs from higher economic growth to increased globalization in India, while the results do not support long-term causality between globalization and economic growth in China.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

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.

scholarly journals Dynamics of Financial Development, Economic Growth, and Poverty Alleviation: The Indonesian Experience

2018 ◽  
Vol 13 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Sovia Dewi ◽  
M. Shabri Abd. Majid ◽  
Salina Kassim ◽  
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Poverty Reduction ◽  
Financial Sector ◽  
Poverty Rate ◽  
Development Economic ◽  
Annual Data ◽  
Distributed Lag ◽  
Long Run ◽  
The Government

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

scholarly journals The Impact of Inflation on Financial Sector Development: Evidence from Nigeria

2020 ◽  
Vol 12 (2) ◽  
pp. 56
Author(s):  
Afangideh U. J. ◽  
Garbobiya T. S. ◽  
Umar F. B. ◽  
Usman N.
Keyword(s):  
Financial Development ◽  
Significant Relationship ◽  
Financial Sector ◽  
Threshold Effects ◽  
Quarterly Data ◽  
Financial Sector Development ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

This paper examines the Impact of inflation on financial sector development in Nigeria using quarterly data from 2002-2017. Financial sector development is proxied using money supply as a share of GDP (M2/GDP).The Auto-Regressive Distributive lag (ARDL) model is employed to carry out the estimation given the weakness of the Engle-Granger residual-based cointegration technique to test the long-run and short-run effects of the impacts of inflation on financial sector development. The results of the estimation reveal that there is a positive and statistically significant relationship between inflation and financial sector development in Nigeria. There is need to test for threshold effects of inflation on financial development in Nigeria.

scholarly journals Institutional Quality and Financial Sector Development: Empirical Evidence from Nigeria

2018 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Fisayo Fagbemi ◽  
John Oluwasegun Ajibike
Keyword(s):  
Empirical Evidence ◽  
Financial Development ◽  
Good Governance ◽  
Developing Economies ◽  
Institutional Quality ◽  
Financial Sector ◽  
African Countries ◽  
Financial Sector Development ◽  
Long Run ◽  
Short Run

In view of the indispensable role of financial sector in both emerging and developing economies, there has been a notable spotlight on the financial sector development over the years in most African countries. Nonetheless, there are only a few studies on this topical issue, particularly for Nigeria. Hence, this study examines the long – run and short – run dynamic relationship between institutional quality and financial development in Nigeria over the period of 1984 – 2015 using Auto-Regressive Distributed Lag (ARDL) bounds test approach to cointegration. Using two different indicators (Private credit and M2) of financial development, the results consistently show that institutional factors do not have significant effect on financial development in the long – run as well as in the short – run. Furthermore, the empirical evidence indicates that regulatory quality and governance system (institutions) do not necessarily contribute to financial development in a feeble institutional environment, specifically in Nigeria. Thus, our findings suggest that whilst weak institutions could increase the risk of limiting the functioning of financial system, good governance and strong institutions are the essential ingredient of financial development in Nigeria. As a consequence, policies aimed at strengthening the quality of institutions and governance should form the major policy thrust of government (policy makers). These could help improving financial sector development in Nigeria.

scholarly journals Frequency Domain Causality Relationship Analysis Between Poverty, Economic Growth and Financial Development in Algeria

2019 ◽  
Vol 12 (2) ◽  
pp. 93-111
Author(s):  
Ayad Hicham ◽  
Belmokaddem Mostefa ◽  
Sari Hassoun Salah Eddin
Keyword(s):  
Economic Growth ◽  
Frequency Domain ◽  
Financial Development ◽  
Poverty Reduction ◽  
Financial Sector ◽  
Real Sector ◽  
Relationship Analysis ◽  
Long Run ◽  
Short Run ◽  
The Time Domain

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.

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