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Article
Publication date: 10 August 2018

Somesh K. Mathur and Abhishek Shekhawat

This paper aims to investigate the determinants of bilateral exports of India to the USA by taking the non-linearity issue in export demand equations which is neglected so far in…

Abstract

Purpose

This paper aims to investigate the determinants of bilateral exports of India to the USA by taking the non-linearity issue in export demand equations which is neglected so far in the empirical work. The study tries to know the reaction of change in exports to exchange rate changes in a non-liner fashion. For this purpose, non-linear autoregressive distributed lag (NARDL) bounds testing approach of Shin et al. (2011) has been used. This approach allows testing for non-linearities both in the short and long run, which might give indications of strategic pricing and non-linearities in exchange rate. The empirical analysis is carried out for bilateral export demand relationships of India with the USA for the period from January 1993 until December 2013. The overall results show that exports are determined in the long run by foreign demand, exchange rates and relative prices. The assumed linearity in export demand functions might be too restrictive. Thereby, the one threshold model that distinguishes exchange rate effects between appreciations and depreciations delivers plausible results. If exchange rate non-linearities are detected, it would seem that exports respond stronger to appreciations than to depreciations. A reason for this might be that firms perform strategic pricing in international trade to gain or maintain market shares.

Design/methodology/approach

The paper uses the newly developed non-linear ARDL framework of Shin et al. (2011) to investigate whether there are non-linearities with respect to the exchange rate for India’s exports to the USA. One of the important features of this framework is that it is free from unit root pre-testing and can be applied regardless of whether variables are I(0) or I(1). In addition, ARDL and NARDL technique efficiently determines the cointegrating relation in small sample. The short-run and long-run parameters with appropriate asymptotic inferences can be obtained by applying OLS to NARDL with an appropriate lag length. Following is the NARDL representation of equation 4(a) and 4(b). For brevity, this is illustrated for 4(a) only, where is the first difference operator, P is the drift component and it is the white noise residual, the coefficients ?_1 to ?_4 represent the long-run relationship, whereas remaining expressions with summation sign represent the short-term dynamics of the model. This equation nests the linear ARDL model presented in Pesarean et al. (2001) for the case of d_k^+=d_k^-and ?_2=?_3for all k. Thus, equation is less restrictive than a linear model. For this test, as its distribution is non-standard, Pesarean et al. (2001) tabulate the critical values. The bound test is used to examine the existence of the long-run relationship among the variables in the system. This test is based on Wald/F-statistic and follows a non-standard distribution. To check whether a cointegrating relationship exists, one has to test the null hypothesis ?_1=?_2=?_3=?_4 = 0 in the equation. Pesarean et al. (2001) provide two sets of critical values in which lower critical bound assumes that all the variables in the ARDL are I(0) and upper critical bound assumes I(1). The null hypothesis of cointegration is rejected if the calculated F-statistics is greater than the upper bound critical values. If the F-statistics is below than the lower critical bound, then null hypothesis cannot be rejected; this indicates no cointegration among the variables. If it lies within the lower and upper bounds, the result is inconclusive. After examining the cointegration, long-run coefficients are calculated by estimating the model with the appropriate lag orders based on the Schwarz Information Criteria (SIC). Further, the short-run dynamics of the model is also analyzed by using unrestricted error correction model based on the assumption made by Pesarean et al. (2001). Thus, the error correction version of the NARDL model pertaining to the central export equation can be expressed as: 10; 10, where ? is the speed of adjustment parameter, and EC is the residuals that are obtained from the estimated cointegration model of equation 4(a). The EC term is expressed as 10; 10, where are the OLS estimators obtained from the equation (5a). The coefficients of the lagged variables provide the short-run dynamics of the model covering the equilibrium path. The error correction coefficient ( ) is expected to be less than zero, and its significant value implies the cointegration relation among the variables. Finally, various tests such as serial correlation, functional form, normality and heteroskedasticity have been conducted to check the performance of the model.

Findings

Many empirical studies have estimated the elasticities of different final export demand components with respect to the exports because of their importance in trade policy formulation. But all the work has accounted only linearity in the exchange rate in export demand equation. Hence, in this paper, we tried to estimate non-linearities in export demand equation. The study fills the gap in the literature by improving on existing literature with the incorporation of the newly developed NARDL approach of Shin et al. (2011). This approach allows testing for non-linearities both in the short- and in the long run which might give indications of strategic pricing and non-linearities in exchange rate. The empirical analysis is carried out for bilateral export demand relationships of India with the USA for the period from January 1993 until December 2013. The bound test shows that there exists cointegration among the variables. Results show that exports are determined in the long run by foreign demand, exchange rates and relative prices. The long-run coefficients have got the expected sign and are of reasonable magnitude and statistically significant. Regarding non-linearities, the results show that assuming linearity in export demand functions might be too restrictive. Thereby, the one threshold model that distinguishes exchange rate effects between appreciations and depreciations deliver plausible results. If exchange rate non-linearities are detected, it seems that exports respond stronger to appreciations than to depreciations. A reason for this might be that firms perform strategic pricing in international trade to gain or maintain market shares.

Originality/value

The originality of this paper lies in the fact that it applies NARDL approach to Indian trade data (export demand) and analyzes the asymmetrical and non-linear impact of exchange rate changes on Indian exports.

Details

Studies in Economics and Finance, vol. 38 no. 1
Type: Research Article
ISSN: 1086-7376

Keywords

Article
Publication date: 14 October 2021

Sami Ullah, Muhammad Nadeem, Kishwar Ali and Qaiser Abbas

In this paper, the authors investigate that the increasing level of fossil fuel combustion in the industrial sector has been considered the prime cause for the emissions of…

Abstract

Purpose

In this paper, the authors investigate that the increasing level of fossil fuel combustion in the industrial sector has been considered the prime cause for the emissions of greenhouse gas. Meanwhile, the research focusing on the impact of fossil fuel consumption on the emission of CO2 is limited for the developing countries containing Vietnam. This study applied the autoregressive distributed lag (ARDL) approach with structural breaks presence, and the Bayer–Hanck combined cointegration method to observe the rationality of the environmental Kuznets curve (EKC) hypothesis in the dynamic relationship between the industrialization and carbon dioxide (CO2) emission in Vietnam, capturing the role of foreign direct investment (FDI) inflows and the fossil fuel consumption over the period of 1975–2019. The outcomes revealed the confirmation of cointegration among the variables and both short and long-run regression parameters indicated the evidence for the presence of a U-shaped association between the level of industrial growth and CO2 emission that is further confirmed by employing the Lind and Mehlum U-test for robustness purpose. The results of Granger causality discovered a unidirectional causality from FDI and fossil fuel consumption to CO2 emission in the short run. For the policy points, this study suggests the use of efficient and low carbon-emitting technologies.

Design/methodology/approach

In order to test for consistency and robustness of the cointegration analysis, this study also applied the ARDL bound testing method to find out long-run association among variables with the existence of the structural break in the dataset. The ARDL method was preferred to other traditional cointegration models; because of the smaller dataset, the results obtained from the ARDL method are efficient and consistent and equally appropriate for I(1) and I(0) variables.

Findings

The short-run and long-run causal associations among variables have been observed by employing the error correction term (ECT) augmented Granger-causality test that revealed the presence of the long-run causality among variables only when the CO2 emission is employed as a dependent variable. The outcomes for short-run causality indicated the presence of unidirectional causality between consumption of fossil fuel and CO2 emission, where the fossil fuel consumptions Granger-cause CO2 emission. Industrial growth has also been found to have an impact on fossil fuel consumptions, however not the opposite. This advocates that the policies aimed at reducing the fossil fuel consumptions would not be harmful to industrial growth as other energy efficient and cleaner technology could be implemented by the firms to substitute the fossil fuel usage.

Originality/value

The study explored the dynamic relationship among FDI, consumption of fossil fuel, industrial growth and the CO2 emission in Vietnam for the time period 1975–2019. The newly established Bayer–Hanck joint cointegration method and the ARDL bound testing were employed by taking into account the structural breaks in the dataset.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 2
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 7 December 2021

Shelly Singhal, Sangita Choudhary and Pratap Chandra Biswal

The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context.

Abstract

Purpose

The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context.

Design/methodology/approach

This work uses auto regressive distributed lag (ARDL) bound co-integration test to examine the long-run association among international crude oil, exchange rate and Norwegian stock market. Further to test the causality, Toda–Yamamoto Granger causality test is used. Daily data ranging from 1 January, 2011 to 31 December, 2018 is used in this study.

Findings

Findings of this study suggest the existence of long-run equilibrium relationship among oil price, exchange rate and Norwegian stock market when oil price is taken as dependent variable. Further, this study observes the bi-directional causality between Norwegian stock market and exchange rate and unidirectional causality between oil and Norwegian stock market (from oil to stock market).

Originality/value

To the best of the authors’ knowledge, this the first study in context of Norway to explore the long-run association and causal relationships among international crude oil price, exchange rate and stock market index. Particularly, association of exchange rate and stock market largely remains unexplored for Norwegian economy. Further, majority of studies conducted in Norwegian setup have considered the period up to year 2010 and association of these variables is found to be time varying. Finally, this study uses ARDL bound co-integration test and Toda–Yamamoto Granger causality test. These methodologies have been used in literature in context of other countries like India and Mexico but not yet applied to study the Norwegian case.

Details

International Journal of Energy Sector Management, vol. 16 no. 5
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 13 August 2018

Dinabandhu Sethi and Susanta Kumar Sethy

The purpose of this paper is to examine the relationship between financial inclusion (FI) and economic growth in India.

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Abstract

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.

Details

International Journal of Social Economics, vol. 46 no. 1
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 22 June 2021

Ahamed Lebbe Mohamed Aslam and Sabraz Nawaz Samsudeen

The 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.

Abstract

Purpose

The 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/approach

Both 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.

Findings

The 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 implications

The 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/value

This 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.

Details

Journal of Economic and Administrative Sciences, vol. 39 no. 2
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 29 June 2021

Thazhungal Govindan Saji

The Global recession of 2008 was the worst financial crisis in the postworld war economic history that brought in severe disruptions in global investments and capital flows. Not…

Abstract

Purpose

The Global recession of 2008 was the worst financial crisis in the postworld war economic history that brought in severe disruptions in global investments and capital flows. Not surprisingly, research interest in the field of market integration has considerably increased over the last decade. This paper analyses the dynamics of price integration among Asian financial markets during the postfinancial crisis period.

Design/methodology/approach

We employ an Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration and a Granger Causality/Block Exogeniety test from a Vector Error Correction Model (VECM) on monthly stock index data of five leading Asian economies from April 2009 to March 2020.

Findings

The cointegration results could not produce any conclusive evidence of long-run relations between stock markets. There exists weak price convergence among markets, and financial integration is partial and in an imperfect form.

Research limitations/implications

Stock price performance in China is closely “coupled” with that in India, but both markets appear to be the short-run predictors of Asian stock returns. The research uses only the benchmark stock indices of the selected economies. Consideration of mid-cap and small-cap segments where foreign investments are significant today can validate the findings further.

Practical implications

The asymmetric pattern of price behavior of Asian markets has important implications for the pricing efficiency of national markets and offers arbitrage potentials for global investors to optimize returns through market diversifications on a long-term perspective. The finding definitely will be a great help to investors who are potentially interested in a trading strategy that offers greater returns with limited exposure to market risks.

Originality/value

Compared with previous studies, the research uses the most recent data of leading Asian markets and applies the robust method of ARDL Bounds testing approach that allows us to understand better if the economic recoveries and advancement have had an effect on market coupling and stock price transmissions.

Details

Managerial Finance, vol. 47 no. 11
Type: Research Article
ISSN: 0307-4358

Keywords

Abstract

Details

Social Sector Development and Inclusive Growth in India
Type: Book
ISBN: 978-1-83753-187-5

Article
Publication date: 30 July 2020

Ahamed Lebbe Mohamed Aslam and Selliah Sivarajasingham

The objective of this study is to examine the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka over the period of 1975–2017 using…

Abstract

Purpose

The objective of this study is to examine the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka over the period of 1975–2017 using the annual time series data.

Design/methodology/approach

To test the order of integration of the variables used in this study, the augmented Dickey–Fuller (ADF) and Phillips and Perron (PP) unit root tests were employed. The autoregressive distributed lag (ARDL) bounds cointegration technique was used to examine the long-run relationship between the variables. The Granger causality test was used to examine the causal relationship between the variables.

Findings

The unit root tests confirm that the variables are stationary at 1st difference I(1). Meanwhile, the ARDL test results show that workers' remittances have a positive long-run relationship with consumption expenditure in Sri Lanka. The coefficient of the error correction term indicates that 9.3% of disequilibrium error is adjusted each year and the response variable of the consumption expenditure moves towards the long-run equilibrium path. Further, the results of the Granger causality test indicate that workers' remittances Granger cause consumption expenditure in the short-run.

Practical implications

The findings have some important policy implications for the design of efficient policy related to workers' remittances and consumption expenditure pattern, the knowledge of which will help promote the macroeconomic stability and welfare of people in Sri Lanka.

Originality/value

This study contributes to the existing literature by using newly developed ARDL bounds cointegration techniques to investigate the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka. Furthermore, to our knowledge, this study is the first research in examining the inter-temporal relationship between workers' remittances and consumption expenditure in Sri Lanka.

Details

Journal of Economic and Administrative Sciences, vol. 37 no. 2
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 17 December 2018

Abbas Ali Chandio, Yuansheng Jiang and Abdul Rehman

This study aims to empirically examine the relationship between energy consumption and agricultural economic growth in Pakistan over the period from 1984 to 2016.

Abstract

Purpose

This study aims to empirically examine the relationship between energy consumption and agricultural economic growth in Pakistan over the period from 1984 to 2016.

Design/methodology/approach

This study used the autoregressive distributed lag (ARDL) bounds testing approach to cointegration to investigate the long-run and short-run determinants of agricultural economic growth in Pakistan.

Findings

The results of the ARDL bounds testing approach to cointegration revealed that long-run linkage exists among the study variables. The findings of this paper showed that agricultural economic growth is positively affected by gas consumption and electricity consumption both in the long-run and short run. The long-run and short-run coefficients of gas consumption and electricity consumption were estimated to be 0.906, 0.421, 0.595 and 0.276, respectively. The estimated equation remains stable during the period from 1984 to 2016 as analyzed by the stability tests.

Originality/value

This study considers the relationship between energy consumption and agricultural economic growth in Pakistan by using an ARDL bounds testing approach to cointegration. The study has three contributions to economic literature:this study used different unit root tests to test stationarity of the variables such as ADF unit root test by Dicky and Fuller and P-P unit root test by Philip and Perron; the ARDL bounds testing approach to cointegration is applied to test the existence of long-run analysis between energy consumption and agricultural economic growth; and to check the robustness, the authors used the Johansen cointegration test to examine the long-run relationship between dependent and independent variables.

Details

International Journal of Energy Sector Management, vol. 13 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 12 January 2015

Madhu Sehrawat and A K Giri

– The purpose of this paper is to examine the relationship between financial development and income inequality in India using annual data from 1982-2012.

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Abstract

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.

Details

International Journal of Social Economics, vol. 42 no. 1
Type: Research Article
ISSN: 0306-8293

Keywords

1 – 10 of over 1000