scholarly journals Investigating in the J-curve phenomenon in Tunisia- ARDL bound test approach

2020 ◽  
Vol 12 (5(J)) ◽  
pp. 23-32
Author(s):  
Elham Shubaita ◽  
Muhammad Mar’i ◽  
Mehdi Seraj
Keyword(s):  
Trade Balance ◽  
Real Exchange Rates ◽  
Distributed Model ◽  
Long Run ◽  
J Curve ◽  
Short Run ◽  
Using Data ◽  
Bound Test ◽  
The Relationship ◽  
Ardl Bound Test

This paper investigates the relationship between trade balance, real exchange rates, and incomes in Tunisia by adopting the autoregressive distributed model (ARDL) by using data over the period of 1980 to 2018. We also used the bound test cointegration between variables at a 10% significant level. Our findings show that the Tunisia economy does not match the Marshall-Lerner condition in the long run, that provides an accurate description of the particular situation for which a country currency devaluation or depreciation its currency under both fixed or floating regime is predicted to enhance the trade balance of a country, which means there is no j-curve phenomenon in the long run, which tries to differentiate between the change of short-run and long-run effects in the change of exchange rate on the trade balance. Our findings match the Marshall-Lerner condition in the short run and can confirm the existing j-curve in the case of Tunisia.

Electricity consumption and economic growth in ASEAN

2017 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Ahmad Ghazali Ismail ◽  
Arlinah Abd Rashid ◽  
Azlina Hanif
Keyword(s):  
Economic Growth ◽  
Energy Use ◽  
Electricity Consumption ◽  
Panel Estimation ◽  
Real Gdp ◽  
Long Run ◽  
Bidirectional Relationship ◽  
Short Run ◽  
Using Data ◽  
The Relationship

The relationship and causality direction between electricity consumption and economic growth is an important issue in the fields of energy economics and policies towards energy use. Extensive literatures has discussed the issue, but the array of findings provides anything but consensus on either the existence of relations or direction of causality between the variables. This study extends research in this area by studying the long-run and causal relations between economic growth, electricity consumption, labour and capital based on the neo-classical one sector aggregate production technology mode using data of electricity consumption and real GDP for ASEAN from the year 1983 to 2012. The analysis is conducted using advanced panel estimation approaches and found no causality in the short run while in the long-run, the results indicate that there are bidirectional relationship among variables. This study provides supplementary evidences of relationship between electricity consumption and economic growth in ASEAN.

Does Financial Inclusion Promote Human Development? Evidence from India

2021 ◽  
pp. 227868212110451
Author(s):  
Neha Arora ◽  
Naresh Kumar
Keyword(s):  
Human Development ◽  
Financial Inclusion ◽  
Banking Services ◽  
Indian Economy ◽  
Long Run ◽  
Speed Up ◽  
Bound Test ◽  
Hierarchy Process ◽  
The Relationship ◽  
Ardl Bound Test

The present study investigates the relationship between Financial Inclusion Index (FII) and Human Development Index (HDI) of Indian economy. The study developed FII for the Indian economy from 1991 to 2020 by using the dimensions of banking penetration, banking availability and usage of banking services. The well-known techniques of Analytical Hierarchy Process (AHP) and Technique of Preference by Similarity to Ideal Solution (TOPSIS) is used to develop FII. The ARDL bound test confirms the existence of a long-run relationship between financial inclusion and human development. Granger non-causality confirms the existence of bidirectional causality between financial inclusion and human development. As financial inclusion acts as a key for human development, government should adopt policies to speed up the financial inclusion process in India.

Turkish-German Commodity Trade and Asymmetric J-Curve

2020 ◽  
Vol 66 (2) ◽  
pp. 93-129
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Huseyin Karamelikli
Keyword(s):  
Trade Balance ◽  
Commodity Trade ◽  
Ardl Model ◽  
Currency Depreciation ◽  
Nonlinear Ardl ◽  
Long Run ◽  
J Curve ◽  
Nonlinear Ardl Model ◽  
Short Run ◽  
Turkish Lira

We consider the short-run and the long-run effects of the real Turkish Lira-Euro rate on the trade balance of each of the 64 industries that trade between Turkey and Germany. We find relatively more significant effects by estimating a nonlinear ARDL model for each industry. Indeed, the approach of separating currency depreciation from appreciation identified the five largest Turkish industries that engage in more than 50 % of the trade between these two countries and that benefitted from Turkish Lira depreciation against the Euro.

scholarly journals Pakistan-EU Commodity Trade: Is there Evidence of J-Curve Effect?

2017 ◽  
Vol 17 (2) ◽  
pp. 20160067 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
Javed Iqbal ◽  
Muhammad Muzammil
Keyword(s):  
Trade Balance ◽  
Bilateral Trade ◽  
Commodity Trade ◽  
Trade Data ◽  
Currency Depreciation ◽  
Long Run ◽  
J Curve ◽  
Curve Effect ◽  
Short Run ◽  
Trade Partners

In investigating the short run and the long run impact of currency depreciation on Pakistan’s trade balance, previous studies have either relied on using bilateral trade data between Pakistan and her trade partners or between Pakistan and the rest of the world and have found not much support for successful depreciation. Suspecting that these studies may suffer from aggregation bias, in this paper we use disaggregated trade data at commodity level from 77 industries that trade between Pakistan and EU. While we find short-run significant effects in 22 industries, these effects do not last into the long run in most industries. Most of the affected industries are found to be small, as measured by their trade shares.

Impact of Exchange Rate Changes on the Trade Balance of India: An Asymmetric Nonlinear Cointegration Approach

2020 ◽  
Vol 56 (1) ◽  
pp. 71-88
Author(s):  
Sajad Ahmad Bhat ◽  
Javed Ahmad Bhat
Keyword(s):  
Trade Balance ◽  
Domestic Demand ◽  
Similar Response ◽  
Foreign Demand ◽  
Currency Depreciation ◽  
Long Run ◽  
J Curve ◽  
Short Run ◽  
Exchange Rate Changes ◽  
The Impact

Applying an asymmetric model, the study reported no evidence of J-curve phenomenon in case of India. In the short-run currency appreciation deteriorates the trade balance and currency depreciation improves it. In the long-run, again the similar response is observed, however, only the impact of currency depreciation is statistically significant. Increase in domestic demand deteriorates the trade balance by a greater magnitude than improvement is observed due to the decline in domestic demand conditions. Finally, foreign demand hike improves the trade balance relatively by a higher magnitude; however, the impact of a foreign demand decline is statistically insignificant. JEL Codes: F4, F41, F42

scholarly journals FENOMENA KURVA J PADA NERACA PERDAGANGAN INDONESIA DENGAN ENAM NEGARA MITRA DAGANG UTAMA

2018 ◽  
Vol 1 (2) ◽  
pp. 10
Author(s):  
Anggraeni Tri Hapsari ◽  
Akhmad Syakir Kurnia
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Long Run ◽  
J Curve ◽  
Bilateral Trade Balance ◽  
Trading Partners ◽  
Short Run ◽  
Balance Of Trade ◽  
The Exchange Rate

Whether a J curve phenomenon exists or not on the balance of trade has been an interest for empirical investigation in international economics. The phenomenon is typically associated with the response of the balance of trade to the exchange rate dynamics. Since a country has different trade features with different trading partners, the trade balances adjustment to the exchange rate dynamics should be seen as a head to head phenomenon. This paper investigates the effect of real effective exchange rate (REER) on the bilateral trade balance between Indonesia and its six major trading partners, namely Japan, China, Singapore, United States, South Korea and India on a quarterly basis over the period 1995.1 to 2013.4. The short run and the long run effect of the REER on the balance of trade is expected to be captured using error correction model (ECM) and vector error correction model (VECM). Subsequently, impulse response function is used to trace out the behavior of the bilateral trade balance in response to the REER shock whereas forecast error variance decomposition (FEVD) is used to decay the effect of innovation variables in the system. The result indicates that in the long run a J curve phenomenon appears on the bilateral trade balance between Indonesia and Japan, China, Singapore as well as South Korea. In the short run, a J curve phenomenon is seen on the bilateral trade balance between Indonesia and China as well as Singapore. This confirms that a J curve is a head to head phenomenon that has correlation with the trade features. Thus, the correction mechanism to the trade balance in response to the exchange rate shock (i.e. exchange rate market intervention) should count trade features as a consideration

scholarly journals Linear and Nonlinear Dynamics of the Turkish Trade Balance

2016 ◽  
Vol 8 (2) ◽  
pp. 70 ◽  
Author(s):  
Huseyin Karamelikli
Keyword(s):  
United States ◽  
United Kingdom ◽  
Exchange Rate ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
J Curve ◽  
Short Run

<p>This study empirically analyses bilateral trade of Turkey with her main trade partners using monthly time series data over the period of 2000 to 2015. J-curve theory and short-run dynamics of bilateral trade is tested by linear ARDL and Non-linear ARDL approaches. The empirical results indicate that there is no J-curve effect during short-run for United States and for France; it symmetrically exists to Germany and asymmetrically to United Kingdom. Also long-run relationship between exchange rate and trade balance has mixed results. Asymmetric long-run relationship between exchange rate and trade balance for United States exists where it is symmetrically most appropriate for Germany. In the other hand this study failed to verify any long-run relationship between exchange rate and trade balance for France and for United Kingdom.</p>

scholarly journals Evaluating the Persistence of j Curve Phenomenon in the Bilateral Trade between Bangladesh and USA: The ARDL Bounds Testing Approach and Granger Causality Analysis

2021 ◽  
pp. 74-81
Author(s):  
Subroto Dey ◽  
Homamul Islam
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Granger Causality ◽  
Trade Balance ◽  
Error Correction Model ◽  
Correction Model ◽  
Long Run ◽  
J Curve ◽  
The Usa ◽  
Short Run

Most of the previously examined studies that investigated the repercussion of the trade balance to exchange rate mutation relied on the assumption that appreciation and depreciation behave symmetrically, recently several works have been conducted using the asymmetric analysis. In this work, we exhibited a model employing the disaggregated data (bilateral) of trade balance with the USA. In our pursuit, we endeavored to disclose a phenomenon of the J curve, is this pattern present in our trade balance and exchange rate bearing? In this article, first, we checked the stationary of data set and discovered the stationary employing the Augmented Dickey-Fuller test, Phillips Peron then applying the ARDL bounds test of cointegration apropos to find out the long run co integrated equations and last of all, tried to investigate the short-run and long-run relationship among the variables, while we used the ECM (error correction model). The Toda-Yamamoto Procedure for Granger Causality in a VAR framework has been applied to detect the causal direction. In our model, we have blazoned the negative short-run rapport between the exchange rate and trade balance in the bilateral data, whereas we have remarked a discrepant bearing in the long run and we did receive the evidence of the appearance of j pattern in the relationship between exchange rate and trade balance. Dispensing the error correction model, we found domestic higher price level hinders the trade balance in the short run, did not find any evidence of foreign income stimulate the export. Toda-Yamamoto Procedure for Granger Causality reveals the unidirectional causal effect from exchange rate to trade balance of Bangladesh with the USA.

scholarly journals Technology-Intensive Trade, Economic Growth and CO2 Emissions: ARDL Bounds Test Approach and Causality Analysis for BRICS

2019 ◽  
pp. 53-75
Author(s):  
Dr. Farha Fatema ◽  
Dr. Mohammad Monirul Islam
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
High Tech ◽  
Causality Analysis ◽  
Causal Direction ◽  
Long Run ◽  
Short Run ◽  
Bound Test ◽  
Trade And Growth ◽  
Ardl Bound Test

This study identified long-run and short-run relationship as well as causal direction of medium and high tech (MHT) trade (proxy for tech-intensive trade), economic growth and CO2 emissions in BRICS for the period of 1992-2015 applying ARDL bound test approach and error-correction based Granger causality. The disequilibrium (non-stationary) characteristics of CO2 emissions in China during 1992-2014, along with unavailability of MHT trade data prior to 1992, constrained the analysis of short-run and long-run relationship among the variables for the country. The study found that structural change did not affect CO2 emissions in India and Russia in the long-run but it did in the short-run in India. The study did not find any long-run cointegration among the variables for South Africa. It identified long-run causality running from MHT trade and growth to CO2 emissions for India and Russia, whereas long-run causality directed from MHT trade and CO2 emissions to growth was found in Brazil and India, and causality running from CO2 emissions and growth to MHT trade only held for India.

scholarly journals Does Climate Change Asymmetrically Affect Rice Productivity In India? New Insight From NARDL Cointegration Approach

2021 ◽  
Author(s):  
Imran Ali Baig ◽  
Abbas Ali Chandio ◽  
Md. Abdus Salam
Keyword(s):  
Climate Change ◽  
Ardl Model ◽  
Rice Productivity ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Using Data ◽  
Asymmetrical Impact ◽  
Bound Test

Abstract This article attempt to answer the question "whether the dynamic relationship between climate change and rice productivity is symmetrical or asymmetrical" using data from 1990-2017 in India. First, we test the symmetrical and long-run dynamic relationship using the Autoregressive Distributed Lags (ARDL) model and test the asymmetrical and cointegration relationship based on Nonlinear Auto-Regressive Distributed Lag (NARDL) technique. The results of the ARDL model indicates that no symmetrical relationship between the variables in long-run. Whereas outcomes of the NARDL bound test reveal that there is long-run asymmetrical impact of climate change on rice productivity. The positive and negative shock of climate change has affected the rice productivity by different magnitude in India. The Wald statistics confirm asymmetric relationship between rice productivity and climate change in the long-run while only short-run asymmetrical relationships exist between rainfall and rice productivity in India.Furthermore, dynamic multipliers indicate that negative component of rainfall and temperature has a dominant effect over the positive component on rice productivity. To the best of the author's knowledge, no studies have been done to assess both symmetrical and asymmetrical dynamic relationships between climate change and rice productivity using ARDL and NARDL cointegration approaches in India's context. This study will help frame the environmental policies and strategy to cope with climate change in India's agriculture productivity.

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