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 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.

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.

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.

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 Tourism And Economic Growth In Kenya: An Empirical Investigation

2012 ◽  
Vol 11 (5) ◽  
pp. 517 ◽  
Author(s):  
Obadiah N. Kibara ◽  
Nicholas M. Odhiambo ◽  
Josephine M. Njuguna
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Tourism Development ◽  
Series Data ◽  
Bounds Testing ◽  
Critical Question ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series

In this study, we examine the dynamic relationship between tourism sector development and economic growth using annual time-series data from Kenya. The study attempts to answer one critical question - Is tourism development in Kenya pro-growth? The study uses an ARDL-bounds testing approach to examine these linkages and also incorporates trade as an intermittent variable between tourism development and economic growth in a multivariate setting. The results of our study show that there is a uni-directional causality from tourism development to economic growth. The results are found to hold irrespective of whether the causality is estimated in the short run and long run. Other results show that international tourism Granger-causes trade, while trade Granger-causes economic growth in Kenya in both the short and the long run.

Testing tourism-led growth hypothesis in Laos?

2018 ◽  
Vol 73 (2) ◽  
pp. 242-251 ◽  
Author(s):  
Phouphet Kyophilavong ◽  
John Luke Gallup ◽  
Teerawat Charoenrat ◽  
Kenji Nozaki
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Tourism Development ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Causality Tests ◽  
Econometric Approach ◽  
Growth Hypothesis

Purpose The purpose of this paper is to investigate the tourism-led growth hypothesis in Laos. Design/methodology/approach The authors test the tourism-led growth hypothesis using autoregressive distributed lag (ARDL) cointegration estimation (Pesaran et al., 2001) and Granger causality tests. Findings The results of this paper show that when tourism is forcing variable, there is no long-run relationship between tourism development and economic growth. The Granger causality test demonstrates that there is a uni-directional causality running from economic growth in tourism. Social implications The empirical results and policy recommendation may be useful for other small developing countries. Originality/value This study is the first study to investigate the relationship between tourism development and growth in Laos, using a relatively new econometric approach – ARDL bound testing.

Dynamic inter-linkage between foreign aid and economic growth in Sri Lanka

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahamed Lebbe Mohamed Aslam ◽  
Sabraz Nawaz Samsudeen
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Sri Lanka ◽  
Foreign Aid ◽  
Correction Term ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Test Result

PurposeThe objective of this study is to explore the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka over the period of 1960–2018.Design/methodology/approachBoth exploratory and inferential data analysis tools have been employed to examine the objective of this study. The exploratory data analysis covered the scatter plots, confidence ellipse with kernel fit. The inferential data analysis included the augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests, the autoregressive distributed lag (ARDL) Bounds co-integration technique and the Granger causality test.FindingsThe test result of exploratory data analysis indicates that there is a positive relationship between foreign aid and economic growth. The ADF and PP unit root tests results indicate that the variables used in this study are stationary at their 1st difference. The co-integration test result confirms the presence of long-run relationship between foreign aid and economic growth in Sri Lanka. The estimated coefficient of foreign aid in the long-run and the short-run shows that foreign aid has a positive relationship with economic growth in Sri Lanka. The estimated coefficient of error correction term indicates that approximately 26.6% of errors are adjusted each year and further shows that the response variable of economic growth moves towards the long-run equilibrium path. The Granger causality test result shows that foreign aid in short-run Granger causes economic growth in Sri Lanka which means that one-way causality from foreign aid to economic growth is confirmed. Further, the estimated coefficient of error correction term confirms that there is the long-run Granger causal relationship between foreign aid and economic growth in Sri Lanka.Practical implicationsThe findings of this study have some important policy implications for the design of efficient policy related to foreign aid and economic growth, the knowledge of which will help follow sustainable foreign aid and growth nexus.Originality/valueThis study contributes to the existing literature by using the newly introduced ARDL Bounds cointegration technique to investigate the dynamic inter-linkage between foreign aid and economic growth in Sri Lanka.

The Economic Growth–Income Inequality–Poverty Nexus and Its Impact on Environmental Degradation: Empirical Evidence from India

2021 ◽  
pp. 097639962110238
Author(s):  
Geetilaxmi Mohapatra ◽  
Arun Kumar Giri
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Poverty Reduction ◽  
Positive Impact ◽  
Universal Access ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

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.

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.

scholarly journals Re-examining the impact of financial intermediation on economic growth: evidence from Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Nandom Yakubu ◽  
Aziza Hashi Abokor ◽  
Iklim Gedik Balay
Keyword(s):  
Economic Growth ◽  
Financial Intermediation ◽  
Composite Index ◽  
Principal Component ◽  
Annual Data ◽  
Bounds Testing ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact

PurposeThis study seeks to investigate the impact of financial intermediation on economic growth in Turkey using annual data spanning 1970–2017.Design/methodology/approachBased on the results of the augmented Dickey–Fuller and Phillips–Perron unit root tests for stationarity, the authors employ the Autoregressive Distributed Lag (ARDL) bounds testing to cointegration to establish the long-run impact of financial intermediation alongside other control factors on economic growth. The study also examines the short-run relationship between financial intermediation and economic growth by estimating the Error Correction Model (ECM).FindingsThe authors’ findings indicate that financial intermediation significantly influences economic growth in both short and long run. However, the effect is positive only in the short run, lending support to the supply-leading hypothesis. Regarding the control variables, the authors observe that while financial openness shows a positive significant impact on economic growth in the long run, gross fixed capital formation matters only in the short run. The results further infer that regardless of the time period, inflation impedes economic growth.Originality/valueIn the empirical analysis of the relationship between financial intermediation and economic growth, financial intermediation is always measured using a single variable. The authors argue that such studies could produce bias and misleading results given that a single proxy does not adequately reflect financial intermediation activities. Likewise, such findings may delude policy implementation. To provide a more vivid and robust analysis, the authors employ the Principal Component Analysis (PCA) to construct a composite index for financial intermediation based on three broad measures. The researchers’ are unaware of any study on the financial intermediation–economic growth nexus using a composite index of financial intermediation. Thus, this paper fills this lacuna in the literature.

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