scholarly journals Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka

2021 ◽  
Vol 123 (2) ◽  
pp. 76-85
Author(s):  
Md. Sayemul Islam ◽  
Nishat Sultana Ema ◽  
Sudipto Chakrobortty ◽  
Hasneen Jahan ◽  
Md. Emran Hossain

Tea export competitiveness and the nexus between tea export and economic growth: The cases of Bangladesh, India and Sri Lanka Long since the end of the British India regime, Bangladesh, India, and Sri Lanka have produced a signifi cant volume of tea which continues to bring them invaluable foreign currency earnings through exports. Our paper explores the tea export competitiveness of these countries by employing the Revealed Symmetric Comparative Advantage (RSCA) index, and analyses the nexus between tea export and economic growth over the period from 1980 to 2018 using several dynamic econometric approaches. Results suggest that Bangladesh has lost its tea export competitiveness over the last decade. India posted moderate performance, while Sri Lanka consistently kept its dominant position. Further, the Johansen Cointegration test outcomes report no long-run relationship between tea export and economic growth across all the countries. The Granger Causality outcomes illustrate that only in Sri Lanka is it the case that tea export causes short-run economic growth. Lastly, the impulse response function projects tea export and economic growth, taking into consideration the response of each to a shock from the other. Extrapolation from the results indicate that, in contrast to the cases of Bangladesh and India (where no direct relationship was found), tea export and economic growth are intimately interconnected in Sri Lanka. This article further recommends eff ective policies so that economic growth in these countries can remain steady and that their tea industries can thrive.

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.


Author(s):  
Muhammad Arshad Kahn

This chapter examines the hypotheses that trade liberalization and financial liberalization jointly enhances economic growth in the four South Asian countries including Bangladesh, India, Pakistan and Sri Lanka for the period 1970-2007 using bounds testing approach to cointegration. The results suggest that in the long-run except for Bangladesh, financial development plays no role in promoting economic growth in these countries. Furthermore, the results suggest that trade openness plays a significant role in promoting economic growth in Bangladesh and India, while exerts negative effect on Pakistan and no effect on Sri Lanka. The share of domestic investment influences real output significantly in Bangladesh, India and Pakistan. In the long- as well as short-run two-way causality between real output, trade openness, share of investment and inflation rate exists for the case of Bangladesh and India. For the case of India two-way causality between finance and growth exists in the short-run. For the case of Pakistan, there is an evidence of long-run causality between real output, finance, trade openness, share of investment and inflation rate. However, in the short-run, two-way causality between real output, trade openness and share of investment is existed and one-way causality between inflation rate, trade openness and share of investment is also observed. No evidence of short-run causality between finance and growth and vice versa for Pakistan has been seen. Finally, for Sri Lanka, an evidence of long-run causality between real output, finance, trade openness and investment share has been found. In the short-run one-way causality between finance-growth, trade-finance, trade-growth and trade-investment has been obtained. These mixed results suggest that the authorities may focuses more and more on the trade liberalization. In addition, there is a need to further deepen the banking and stock markets and provide investment friendly environment to enhance domestic investment which, in turn, promotes economic growth.


2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.


2018 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Clement A.U. Ighodaro ◽  
Ovenseri-Ogbomo F. O.

The paper empirically examines the dynamics of exports and economic growth in Nigeria using time series data for 1970 to 2017. The Vector autoregressive model (VAR) was used to investigate the long run and short run relationship between exports and economic growth as well as some selected variables. The result shows that there exists a stable long run relationship among economic growth, exports, capital expenditure on education and social services. Also, the Granger causality results reveal that export Granger causes economic growth and not the other way round. This means that an increase in economic growth may result from increase in export, but increase in economic growth does not necessarily lead to increase in exports. The Impulse Response Function (IRF) shows that a one standard innovation in exports will lead to permanent positive impact on economic growth in Nigeria. This therefore supports the exports led growth hypothesis for Nigeria.


Author(s):  
Samantha NPG ◽  
Liu Haiyun

The impact of foreign direct investment(FDI) on host country economic growth is a debatable issue in the recent economic literature. The purpose of this study is to examine this issue for a country which practiced comparatively more liberal economic policies within the South Asian region over four decades. The ARDL approach to cointegration is applied to identify long-run relationship and short-run dynamics between selected variables for the period of 1978 to 2015 for Sri Lanka. The empirical result confirms the long run relationship between the variables. FDI is positively correlated with economic growth in the short run and long run, but it is not a significant factor for economic growth in Sri Lanka. Sri Lanka will have to undertake policy reforms related to FDI in order to attract more greenfield investments to boost economic growth creating new job opportunities and expanding exports in the manufacturing sector. These findings would be an example for other small open economies with similar economic characteristics.


2020 ◽  
Author(s):  
Chukwuebuka Bernard Azolibe

Abstract In developing economies, banks act as a conduit for the efficient mobilization of financial resources from the surplus sectors for effective allocation to the deficit sectors for productive investment that will in turn lead to economic growth. Thus, the study is aimed at evaluating whether development in the banking sector intermediation process in the form of increase in the number of branches, credit to private sectors, intermediation efficiency and total assets stimulates economic growth in Nigeria during the period of 1987 to 2018. The study employed the Johansen cointegration test, dynamic ordinary least square (DOLS) regression and error correction model in determining the relationship between the variables. The results of the cointegration test confirmed the existence of long-run relationship between banking sector development indicators and economic growth in Nigeria. Whereas, in the short run, only number of bank branches and bank’s total asset have a positive and significant impact on economic growth signifying that much of Nigeria’s superior growth performance is attributed to increase in the number of bank branches and growth in bank’s assets. Credit to private sector has negative and insignificant relationship with economic growth while bank’s intermediation efficiency has positive and insignificant relationship with economic growth.


2020 ◽  
Vol 26 (4) ◽  
pp. 867-884
Author(s):  
Alina Badulescu ◽  
Daniel Badulescu ◽  
Ramona Simut ◽  
Simona Dzitac

The development of tourism is usually associated, in positive terms, with economic development, foreign currency inflows, employment opportunities, infrastructure improvements, sustainable development and poverty alleviation. However, the nature of the tourism-growth relationship is still a matter of academic debate, and, perhaps, an expression of the inconsistencies and contradictions of public policies designed to support this industry. Researchers and practitioners have not yet come to an agreement on a number of fundamental questions: does tourism stimulate economic growth or the converse, and whether the causality, if it does exist, is uni or bidirectional, is constant or can change its direction in the medium - or long run. The present paper investigates the relationship between Gross Domestic Product (GDP) per capita and international tourism in Romania, over the 1995–2016 period. Our results show that the causal effect of the GDP on the international tourist arrivals and on the international tourism receipts is significant in the long run in Romania. In the short-run, we find a unidirectional causal relationship from the international tourism receipts to GDP, and a bidirectional causal relationship between GDP and the number of international tourist arrivals.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahamed Lebbe Mohamed Aslam ◽  
Sabraz Nawaz Samsudeen

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.


2021 ◽  
Vol 39 (1) ◽  
Author(s):  
Ummara Ghazanfar ◽  
Rab Nawaz Lodhi ◽  
Marium Sara Minhas Bandeali ◽  
Arslan Khalil

The purpose of this study is to examine the relationship between trade liberalization, economic growth and poverty in four SAARC countries (Bangladesh, India, Pakistan, and Sri Lanka). The quantitative research method is employed on secondary data of four SAARC countries. The data on poverty, trade liberalization and economic growth is collected from World Bank website for the period of 1980-2019. ARDL (Autoregressive Distributed Lag Approach) is used to uncover the relationship between trade liberalization, economic growth, and poverty. In the case of Bangladesh, we find a significant relationship between trade liberalization and poverty in the short run, but insignificant in long run. The results are the same when we used tariffs as a measure of trade liberalization.  In the case of India, no significant relationship exists between trade liberalization and poverty both in long run as well as in the short run.  In the case of Pakistan, no significant relationship exists between trade liberalization and poverty in the short run, but we find a significant relationship in the long run. When we used nominal tariff rate as a measure of trade liberalizations, then the significant relationship exists both in the long as well as in the short run. In the case of Sri Lanka significant relationship exist between the short run as well as in long run. This study has practical implication for policy makers in essence that only trade liberalization is not enough to reduce poverty in SAARC countries, there should be other structural transformational polices also be implement in order to get the full benefits of free trade policies. This study is unique in the sense that time series analysis on trade-poverty nexus in these four countries (Bangladesh, India, Pakistan, and Sri Lanka) is new contribution in existing literature.


2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ismail Fahmi Lubis

The Phenomena and trends of level of inflation which seem to be high as caused by factors or government policies whilst the level of economic growth averagely shows high and sustainable growth drawing the unusual macroeconomic condition in Indonesia. This research is conducted to find Correlation and Short-run as well as Long-run relationship between inflation and economic in Indonesia during 1968-2012. Besides, it is to find Granger-Causality between the Consumer Price Index (CPI) and Gross Domestic Product (GDP). It first tests its Unit-Root by Augmented Dickey Fuller and Dickey Fuller test, then it tests its Cointegration by Johansen Cointegration test and its causal relationship by Granger-Causality test as well as it makes mechanism of Error Correction Model (ECM). It is found both inflation and economic growth have no Unit-Root. It is found both inflation and economic growth have Correlation. It is found significantly long-run relationship through the probability value of its residual and short-run relationship through the probability value of inflation and economic growth in its differentiation. It is then found significantly one-way Granger-causality GDP causes CPI but not found one-way Granger-causality CPI causes GDP.


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