Financial inclusion matters for economic growth in India

2019 ◽  
Vol 46 (1) ◽  
pp. 132-151 ◽  
Author(s):  
Dinabandhu Sethi ◽  
Susanta Kumar Sethy
Keyword(s):  
Economic Growth ◽  
Financial Services ◽  
Financial Inclusion ◽  
Supply Side ◽  
Demand Side ◽  
Causality Test ◽  
Content Type ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Ardl Approach

Purpose The purpose of this paper is to examine the relationship between financial inclusion (FI) and economic growth in India. Design/methodology/approach To measure FI, a multidimensional time-varying index is proposed following the Human Development Index method. The long-run relationship between FI and economic growth is examined by using the autoregressive distributed lag (ARDL) approach to cointegration and nonlinear ARDL approach. Further, the direction of causality is investigated by employing the Toda–Yamamoto Granger causality test. Findings The linear cointegration test confirms a long-run relationship between FI and economic growth for India. The improvement in both demand-side and supply-side financial services has a positive impact on economic growth. These results suggest that India can attain long-run economic growth by improving the coverage of FI. However, there is no evidence of nonlinear cointegration, indicating that there is no asymmetric effect of FI on economic growth. Further, the causality test shows that FI granger causes economic growth but not vice versa. Research limitations/implications The major limitation of the study is the availability of time series data for all important variables. The index for both demand- and supply-side indicators can be extended with several other important variables in later date once the data are available for those variables. Practical implications As the study confirms that FI is one of the main drivers of economic growth, it is suggested that the policy maker emphasizing on financial sector reforms can enjoy economic growth in the long run, especially in developing countries. Therefore, the government and policy makers need to address the issues involved in access to financial services to spur economic growth. Originality/value The study examines the long-run relationship between FI and economic growth employing ARDL bound testing approach and nonlinear ARDL approach, separately for demand-side and supply-side indicators. Further, the study uses the Toda–Yamamoto granger causality to find the direction of causal flow between FI and economic growth.

Financial inclusion and economic growth linkage: some cross country evidence

2018 ◽  
Vol 10 (3) ◽  
pp. 369-385 ◽  
Author(s):  
Dinabandhu Sethi ◽  
Debashis Acharya
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Panel Cointegration ◽  
Fixed Effect ◽  
Financial Inclusion ◽  
Causality Test ◽  
Panel Causality ◽  
Content Type ◽  
Long Run ◽  
The World

Purpose The purpose of this paper is to assess the dynamic impact of financial inclusion on economic growth for a large number of developed and developing countries. Design/methodology/approach This study uses some panel data models such as country-fixed effect, random effect and time fixed effect regressions, panel cointegration, and panel causality tests to examine the linkage between financial inclusion and economic growth. Panel cointegration is being used to test the long run association between financial inclusion and economic growth, whereas panel causality test is used to find the direction of causality between financial inclusion and economic growth. The data on financial inclusion are taken from Sarma (2012) for the period 2004-2010. Findings The empirical findings reveal that there is a positive and long run relationship between financial inclusion and economic growth across 31 countries in the world. Further, panel causality test shows a bi-directional causality between financial inclusion and economic growth Thus, the study confirms that financial inclusion is one of the main drivers of economic growth. Research limitations/implications This study has two limitations. First, this study considers only banking institutions in the analysis. Second, the period tested for the long run relationship is not long enough. Practical implications This study empirically measures the quantitative impact of financial inclusion policies pursued across the world. The study also suggests that policies emphasizing financial sector reforms in general and promoting financial inclusion in particular shall result in higher economic growth in the long run. Originality/value This study attempts to assess the long run relationship between financial inclusion and economic growth with the help of a multidimensional index of financial inclusion. Therefore, this can be a valuable contribution to the banks and policymakers.

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.

Dynamic linkages between Non-renewable energy, Renewable energy and Economic growth through nonlinear ARDL approach: Evidence from Malaysia

2021 ◽  
Author(s):  
Rafia Afroz ◽  
Md Muhibbullah
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Asymmetric Effect ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Ardl Approach ◽  
Consumption Reduction ◽  
Short Run ◽  
Auto Regressive ◽  
Nardl Model

Abstract The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the Non-linear Auto Regressive Distributive Lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as short run in Malaysia. The findings also show that in the long and short-run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia's economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO2) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.

Does transportation infrastructure impact economic growth in India?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Positive Impact ◽  
Transport Infrastructure ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Determinants Of Economic Growth

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.

Revisiting the tourism-economic growth nexus: evidence from the United States

2019 ◽  
Vol 31 (9) ◽  
pp. 3779-3798 ◽  
Author(s):  
David N. Aratuo ◽  
Xiaoli L. Etienne ◽  
Tesfa Gebremedhin ◽  
David M. Fryson
Keyword(s):  
Economic Growth ◽  
Exchange Rates ◽  
The United States ◽  
Impulse Response Functions ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
The Usa ◽  
State And Local ◽  
Exchange Rate Shocks

Purpose The purpose of this study is to investigate the causal linkages between tourism and economic growth in the USA and determine how they respond to shocks in the system. Design/methodology/approach The study uses a variety of time series procedures, including the bounds test, Granger causality test, impulse response functions and generalized variance decomposition to analyze the relationship between monthly tourist arrivals (TA) to the USA, real gross domestic product (GDP) and real effective exchange rates. Findings Results suggest that GDP Granger causes TA in the USA in the long run, indicating the economy-driven tourism growth hypothesis. Additionally, a shock to GDP generates a positive and significant effect on TA that persists in the long-run, while exchange rate shocks only have a significant effect in the first six months. Research limitations/implications Different tourism sectors may exert different degrees of influence on the economy. The use of aggregate data on TA in the analysis assumes homogeneity in the industry, thus, only represents the average relationship between tourism and GDP. Practical implications This study provides insight that shapes the investment, marketing, sustainability decisions of the public and private sectors aim at increasing tourist flows to drive economic development at the national, state and local levels. Originality/value Though several studies have examined the factors influencing the international tourist demand of the USA, this is the first to investigate the causal relationships between tourism, GDP and exchange rates for the USA. It is also the first in the US tourism literature to account for the nature of interactions between the three variables because of innovations in the system.

Exports, financial development and economic growth in Pakistan

2014 ◽  
Vol 13 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Error Correction ◽  
Financial Development ◽  
Error Correction Model ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Causality Test ◽  
Correction Model ◽  
Content Type ◽  
Long Run

Purpose – This paper aims to explore the relationship between exports, financial development and economic growth in case of Pakistan. Design/methodology/approach – The autoregressive distributed lag bounds testing approach to cointegration and error correction model are applied to test the long-run and short-run relationships, respectively. The direction of causality between the variables is investigated by the vector error correction model Granger causality test and robustness of causality analysis is tested by applying innovative accounting approach. Findings – The analysis confirms cointegration for the long-run relation between exports, economic growth and financial development in case of Pakistan. The results indicate that economic growth and financial development spur exports growth in Pakistan. The causality analysis reveals feedback hypothesis that exists between financial development and economic growth, financial development and exports, and, exports and economic growth. Originality/value – This study provides new insights for policy makers to sustain exports growth by stimulating economic growth and developing financial sector in Pakistan.

Effect of economic growth, trade openness, urbanization, and technology on environment of Asian emerging economies

2018 ◽  
Vol 29 (6) ◽  
pp. 1123-1134 ◽  
Author(s):  
Kashif Munir ◽  
Ayesha Ameer
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
New Technologies ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Stirpat Model ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose The purpose of this paper is to analyze the long-run as well as short-run effect of economic growth, trade openness, urbanization and technology on environmental degradation (sulfur dioxide (SO2) emissions) in Asian emerging economies. Design/methodology/approach The study utilizes the augmented STIRPAT model and uses the panel cointegration and causality test to analyze the long-run and short-run relationships. Due to the unavailability of data for all Asian emerging economies, the study focuses on 11 countries, i.e. Bangladesh, Hong Kong, India, Indonesia, Iran, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka and Thailand, and uses balance panel from 1980 to 2014 at annual frequency. Findings Results showed that the inverted U-shape hypothesis of the environmental Kuznets curve holds between economic growth and SO2 emissions. While technology and trade openness increases SO2 emissions, urbanization reduces SO2 emissions in Asian emerging economies in the long run. Unidirectional causality flows from urbanization to SO2 emissions and from SO2 emissions to economic growth in the short run. Practical implications Research and development centers and programs are required at the government and private levels to control pollution through new technologies as well as to encourage the use of disposed-off waste as a source of energy which results in lower dependency on fossil fuels and leads to reduce emissions. Originality/value This study contributes to the existing literature by analyzing the effects of urbanization, economic growth, technology and trade openness on environmental pollution (measured by SO2 emissions) in Asian emerging economies. This study provides the essential evidence, information and better understanding to key stakeholders of environment. The findings of this study are useful for individuals, corporate bodies, environmentalist, researchers and government agencies at large.

scholarly journals Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6581
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Husam Rjoub ◽  
Mirela Panait ◽  
Catalin Popescu
Keyword(s):  
Economic Growth ◽  
International Trade ◽  
Carbon Emissions ◽  
Causality Test ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Short Run ◽  
Asymmetric Impact ◽  
Positive Shock ◽  
Bds Test

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.

Does any nexus between electricity consumption and economic growth exist? Evidence from Haryana using VAR model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamaljit Singh
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Granger Causality Test ◽  
Economic Downturn ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Per Capita

Purpose In the fast-changing technological environment, electricity is the essence of the world economy and a significant means for all the modern world’s possessions. The ongoing economic downturn focuses on energy’s role in the economy. This study aims to explore the nexuses between per capita electricity usage and per capita state gross domestic product (SGDP) in Haryana, India. Design/methodology/approach The statistics from 1989 to 2015 have been analyzed using Johansen cointegration, vector autoregression and paired Granger-causality test. Findings The Granger causality test results show that a long-run association is absent. A short-run unidirectional relationship runs from per capita SGDP to per capita electricity usage. Practical implications As a policy suggestion, the policymakers may encourage energy conservation measures and renewable energy sources to lead the country’s sustainable energy supply. Moreover, Haryana can increase its influence in this sector and enter rapidly in the growing markets worldwide by stimulating the production and adoption of digital solutions for energy efficiency. Originality/value To the best of the author’s awareness, this research is one of its nature regarding systematically analyzing electricity usage and economic growth relationship in Haryana.

Economic growth, renewable and nonrenewable energy consumption nexus in India

2020 ◽  
Vol 14 (4) ◽  
pp. 777-792 ◽  
Author(s):  
Shruti Shastri ◽  
Geetilaxmi Mohapatra ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
The Impact ◽  
Asymmetric Causality ◽  
Nonrenewable Energy

Purpose The purpose of this paper is to examine the nexus among economic growth, nonrenewable energy consumption and renewable energy consumption in India over the period 1971-2017. Design/methodology/approach This study uses nonlinear autoregressive distributed lags model and asymmetric causality test to explore nonlinearities in the dynamic interaction among the variables. Findings The findings indicate that the impact of nonrenewable energy consumption and renewable energy consumption on the economic growth is asymmetric in both long run and short run. In long run, a positive shock in nonrenewable energy consumption and renewable energy consumption exerts a positive impact on growth. However, the negative shocks in nonrenewable energy consumption produce larger negative effects on the growth. The results of nonlinear causality test indicate a unidirectional causality from nonrenewable energy consumption and renewable energy consumption to economic growth and thus support “growth hypothesis” in context of India. Practical implications The findings imply that policy measures to discourage nonrenewable energy consumption may produce deflationary effects on economic growth in India. Further, the findings demonstrate the potential role of renewable energy consumption in promoting economic growth. Originality/value To the best of the authors’ knowledge, this study is the first attempt to explore nonlinearities in the relationship between economic growth and the components of energy consumption in terms of renewable and nonrenewable energy consumption.

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