scholarly journals Trade and Economic Growth: The Case of India

2017 ◽  
Vol 4 (01) ◽  
Author(s):  
Simran Sethi

The objective of this paper is to investigate the short run as well as long run relationship between GDP, exports and imports for India using annual data from 1982 to 2016. Through this paper, I examine the four main hypotheses regarding the relation between exports, imports and economic growth. The first one is export-led growth hypothesis, the second one is the import-led growth hypothesis, the third one is the growth-led exports and lastly, the growth-led imports hypothesis. The Johansen’s cointegration is used to examine the long term relationship and empirical results indicate that there is a long run relationship between GDP, exports and imports. The short term relationship is measured using the Granger causality test and the statistical results suggest unidirectional causality from GDP to exports and GDP to imports in conformity with the growth-led exports and growth-led imports hypothesis respectively.

2019 ◽  
Vol 12 (9) ◽  
pp. 94
Author(s):  
Daouda Coulibaly ◽  
Fulgence Zran Goueu

This paper aims to analyze the relationship between exports and economic growth in Côte d’Ivoire. In order to achieve this objective, annual data for the period 1960-2017 were tested by using the cointegration approach of Pesaran, Shin and Smith, including the causality test of Breitung and Schreiber. According to our analysis it is only exports that drive economic growth and not the opposite. Exports act positively and significantly on economic growth in the short term as well as in the long term. The causality test of Breitung and schreiber indicates a one-way long-run causal relationship ranging from exports to gross domestic product (GDP). All those results show that exports are a source of Ivorian economic growth.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

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.


2014 ◽  
Vol 16 (1) ◽  
pp. 188-205 ◽  
Author(s):  
Qazi Muhammad Adnan Hye ◽  
Wee-Yeap Lau

The main objective of this study is to develop first time trade openness index and use this index to examine the link between trade openness and economic growth in case of India. This study employs a new endogenous growth model for theoretical support, auto-regressive distributive lag model and rolling window regression method in order to determine long run and short run association between trade openness and economic growth. Further granger causality test is used to determine the long run and short run causal direction. The results reveal that human capital and physical capital are positively related to economic growth in the long run. On the other hand, trade openness index negatively impacts on economic growth in the long run. The new evidence is provided by the rolling window regression results i.e. the impact of trade openness index on economic growth is not stable throughout the sample. In the short run trade openness index is positively related to economic growth. The result of granger causality test confirms the validity of trade openness-led growth and human capital-led growth hypothesis in the short run and long run.


2020 ◽  
Vol 3 (3) ◽  
pp. 247-262
Author(s):  
Nina Valentika ◽  
Vivi Iswanti Nursyirwan ◽  
Ilmadi Ilmadi

This research was a modification of research by Catalbas (2016) and Pratikto (2012). The model that can separate long-term and short-term components are the Vector Error Correction Model (VECM). This study aimed to model export, import, inflation, interest rates, and the rupiah exchange rate using VECM and to test the causality between variables using the Granger Causality test. The inter-variable model obtained in this study was VECM with lag 2 using a deterministic trend with the assumption of none intercept no trend and two cointegrations. In export and import, there was an adjustment mechanism from the short-term to the long-term. This research model was appropriate to forecast the export and import where VECM with export and import as the target variables, the cointegration equation (long-run model) for  cointegration equation (long-run model) for Based on the Granger Causality test, it was found that there was a one-way relationship between exchange rates and inflation, export and interest rates, export and import, inflation and export, and import and the interest rate at the significance level of 5%.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 338
Author(s):  
Handri Handri ◽  
Hendrati Dwi Mulyaningsih ◽  
Achmad Kemal Hidayat ◽  
Rudi Kurniawan ◽  
Ani Wahyu Rachmawati

Background: Indonesia consumes oil as the main energy source in the production process and as a result of the development of the manufacturing industry. Thus, investment in manufacturing stocks will be affected by oil price fluctuations and macroeconomic conditions. Changes in oil prices will affect the performance of the manufacturing sector which in turn affects manufacturing stock prices. This paper aims to examine the impact of Indonesia's oil price shocks and macroeconomic factors on stock price movements in the manufacturing sector. Methods: This study uses monthly data for the 2009-2016 period in the manufacturing sector, and 67 stocks were selected on the basis consistently available in the period of the research. The cointegration and causality technique was used in this paper; firstly we applied a unit-panel root test, Secondly, we performed a residual test to indicate whether there was cointegration among variables in the long run equilibrium, and short the short run, we used a Granger causality test. Results: The panel unit root test (both Shin and Fisher) and the Pedroni cointegration residual test show that the data is stationary at 1%  level of significance, thus all variables simultaneously achieve long-run equilibrium, and in the short run, the Granger causality test shows that there is one way direction causality Conclusions: For long-term investment in manufacturing stocks, investors must consider the exchange rate, as it is also as a determining factor in influencing the movement of manufacturing stock prices, inflation, and the production index. Meanwhile, weakening of the rupiah in the short run will also determine investment conditions due to the dependency on raw materials for production from foreign sources. The price of oil as an energy source in the manufacturing sector does not have a long-term relationship with other variables.


2021 ◽  
Vol 33 (1) ◽  
pp. 40-56
Author(s):  
Samuel Asuamah Yeboah ◽  
◽  
Boateng Kwadwo Prempeh ◽  

Introduction. The problem under discussion is whether savings are associated with investments in the long-term and whether savings predict investment with feedback or not. Addressing the problem is important since it informs policy formulation in the financial sector in ensuring efficient financial intermediation. The purpose of the article is looks at the savings-investment relationship for Ghana during the period 1960 to 2016. Methodology. Utilizing ARDL (with bounds testing) approach, the Granger predictive test, the Generalised Impulse Response Function, and Variance decomposition function. Results. The results indicate that a 1% increase in savings, GDP and financial development would result in a 0.069%, 0.266% and 0.125% increase respectively in investment in the short-term. It is discovered that savings do not cause investment in the long-run but rather in the short-run. The Granger causality test establishes a unidirectional causality running from savings to investment in the short-run. Discussion and Conclusion. The ramifications of the finding are that there is capital fixed status globally. Future examinations ought to consider structural break(s) issues as well as panel analysis to determine if the findings of the current study would be reproduced.


Author(s):  
Chor Foon Tang ◽  
Eu Chye Tan

This paper explored whether the tourism-led growth (TLG) hypothesis is empirically relevant to Malaysia based upon both full sample and rolling sample analyses. Data from January 1995 to December 2010 have been utilised for the purpose. Instead of relying upon aggregated data of tourist arrivals, disaggregated data of arrivals from 12 major tourism markets are relied upon for more insightful and accurate findings. The empirical results suggest that there was cointegration between Malaysia's economic growth and tourist arrivals from these tourism markets. However, the results of the full sample Granger causality test indicate that only 2 out of 12 tourism markets contributed to economic growth in the short-run. The TLG hypothesis is only supported in the long run by tourist arrivals from 10 out of the 12 tourism markets. The rolling-based Granger causality test shows that it is also these 10 markets situated mostly in developed countries that could provide a stable support for the TLG hypothesis.


2012 ◽  
Vol 02 (12) ◽  
pp. 49-57
Author(s):  
TAIWO AKINLO

This study examined the causal relationship between insurance and economic growth in Nigeria over the period 1986-2010. The Vector Error Correction model (VECM) was adopted. The cointegration test shows that GDP, premium, inflation and interest rate are cointegrated when GDP is the edogeneous variable. The granger causality test reveals that there is no causality between economic growth and premium in short run while premum, inflation and interest rate Granger cause GDP in the long run which means there is unidirectional causality running from premium, inflation and interest rate to GDP. This means insurance contributes to economic growth in Nigeria as they provide the necessary long-term fund for investment and absolving risks.


Tourism ◽  
2020 ◽  
Vol 68 (1) ◽  
pp. 43-57
Author(s):  
Khatai Aliyev ◽  
Nargiz Ahmadova

This paper empirically investigates a causal relationship between tourism and economic growth in Georgia for 1997-2018 period by employing ARDLBT approach to cointegration. Results reject economic-driven tourism growth hypothesis for Georgia and reveal that impact of tourism development over economic growth is negative in the long-run, in contrary positive in the short-run. Obtained results suggest that there is a possibility to have a tourism resource curse in the long-term in Georgia. Georgian government should build a tourism strategy to avoid crowding out of human capital from industrial production and decrease the share of imports for the needs of tourism sector


2016 ◽  
Vol 12 (3) ◽  
pp. 169-184
Author(s):  
Md. Samsur Jaman

This study examines the relationships between economic growth, gross domestic investment, real exchange rate and trade openness in Indian Economy using the Johansen –Juselius cointegration test and VEC Granger causality test. The results suggest that there exists a long-run relationship among the variables. All the estimated coefficients of the long-run equation have the correct positive signs and significant at least at the 5 per cent level. Specifically, in the long run, a 1% increase in Gross Domestic Investment (GDI) increases 0.066% in economic growth. Similarly, a 1% increase in trade openness leads to 0.082% increase in economic growth and a 1% increase in real exchange rate leads to 0.26% increase in economic growth. Thus, in the long run, Gross Domestic Investment (GDI), trade openness and real exchange rate have positively impact on economic growth. The results from the VEC Granger causality test suggest that in the short run only economic growth has short run impact on Gross Domestic Investment (GDI). The other variables have no short run impact on each other. Thus, there is a unidirectional causality from economic growth to GDI, but there is no feedback effect.


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