scholarly journals Market Integration in the International Market of Soybeans: Are GM Soy and Non-GM Soy Markets Integrated?

2019 ◽  
Vol 11 (15) ◽  
pp. 14 ◽  
Author(s):  
Guillermo Andrés Larre
Keyword(s):  
Granger Causality ◽  
Market Integration ◽  
International Market ◽  
Cointegration Analysis ◽  
Law Of One Price ◽  
Sample Period ◽  
Causality Tests ◽  
Price Leader ◽  
Short Run ◽  
Granger Causality Tests

This paper aims to study market integration in the international trade of soybeans from 1999 to 2019. The hypothesis is that the market remained integrated between genetically modified (GM) and non-GM soy, even after stringent regulations against GM soy in major importers starting in 1999. Using FOB prices from major exporters of GM soy (USA and Argentina) and non-GM soy (Brazil), I test for market integration with cointegration analysis and Granger causality tests. All tests show that the market between all three exporters remained integrated throughout the sample period. Furthermore, Granger causality tests show that USA remains the sole price leader. Short run elasticities for reactions to American price changes in Brazil and Argentina are 0.33 and 0.25, respectively. The results validate the Law of One Price and inform policy decisions and forecasts efforts in this valuable commodity.

THE LINKAGE BETWEEN EXPORT AND INCOME: FURTHER EVIDENCE FROM BANGLADESH

2011 ◽  
Vol 56 (01) ◽  
pp. 79-95 ◽  
Author(s):  
RUHUL A. SALIM ◽  
MOHAMMAD A. HOSSAIN
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Cointegration Analysis ◽  
Income Growth ◽  
Causality Test ◽  
Long Run ◽  
Export Expansion ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Growth Hypothesis

This article empirically re-examines the export-led growth hypothesis in the context of Bangladesh using the quarterly data from 1973:1 to 2005:4. The standard time series econometric techniques, such as cointegration and Granger causality tests within the error correction modelling (ECM) are used for this purpose. The results from cointegration analysis suggest that there is stable long-run relationship between exports and income and the results from Granger causality test based on the ECM shows unidirectional causal relationship between exports and income. Thus, these results validate the country's export expansion programs to achieve long-run income growth.

New Evidence of Dynamic Links between Tourism and Economic Growth Based on Mixed-Frequency Granger Causality Tests

2017 ◽  
Vol 57 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Han Liu ◽  
Haiyan Song
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Large Body ◽  
P Value ◽  
Mixed Frequency ◽  
Causality Tests ◽  
Short Run ◽  
Empirical Regularities ◽  
Granger Causality Tests ◽  
The Relationship

The relationship between tourism and economic growth has created a large body of literature investigating the hypotheses of tourism-led economic growth (TLEGH) and economy-driven tourism growth (EDTGH). In this article, we use mixed-frequency Granger causality tests to investigate the relationship between the two types of growth in Hong Kong from 1974 to 2016. Our analysis reveals the following empirical regularities. First, the hidden short-run causality of TLEGH is detected, and EDTGH is proved in the short run and also in the long run when Granger causality tests are performed in a mixed-frequency framework. Second, mixed-frequency Granger tests demonstrate more power in testing the TLEGH and EDTGH via the rejection frequencies (bootstrap p value). Finally, rolling Granger causality tests reveal an unstable relationship between tourism and economic growth in both magnitude and direction, and the relationship is highly economic- and tourism-event-dependent.

scholarly journals A Dynamic Analysis of Oil Revenue and the Performance of the Agricultural Sector in Nigeria

2016 ◽  
Vol 2 (1) ◽  
pp. 203
Author(s):  
Lawrence, U. Egbadju ◽  
Victor, E. Oriavwote
Keyword(s):  
Granger Causality ◽  
Agricultural Development ◽  
Agricultural Sector ◽  
Granger Causality Test ◽  
International Market ◽  
Causality Test ◽  
Agricultural Output ◽  
Oil Revenue ◽  
Causality Tests ◽  
Granger Causality Tests

<p><em>The main objective of the research is to empirically investigate the relevance of oil revenue to agricultural development in Nigeria. This is important because despite the numerous efforts by successive governments to diversify the economy, the level of agricultural output still remains abysmally low. The fallen oil price in the international market also makes this research to be timely. The research covered the period between 1981 and 2014. The cointegration technique and the granger causality tests were used for the study. The result indicates that oil revenue is not statistically significant in explaining the level of economic growth. The result of the granger causality test indicates that oil revenue does not granger cause agricultural output. The result is symptomatic since it casts some doubts on the diversification policies of successive governments in Nigeria. The result recommends, amongst others concerted efforts to revamp the agricultural sector through judicious use of the dwindling oil revenue and foreign investors should be encouraged to go into the agricultural sector in Nigeria.</em><em></em></p>

scholarly journals Impact of Mandatory Price Reporting on Hog Market Integration

2011 ◽  
Vol 43 (2) ◽  
pp. 229-241 ◽  
Author(s):  
Jason R.V. Franken ◽  
Joe L. Parcell ◽  
Glynn T. Tonsor
Keyword(s):  
Granger Causality ◽  
Market Integration ◽  
Market Information ◽  
Fully Integrated ◽  
Before And After ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Price Relationships

This research examines whether mandatory price reporting (MPR) impacted price relationships among U.S. hog markets. Markets are cointegrated before and after MPR enactment, but not fully integrated in either period. Terminal markets adjust to shocks in the Iowa-Southern Minnesota market more quickly and Iowa-Southern Minnesota prices adjust to shocks in terminal markets more slowly following MPR enactment. Granger causality tests indicate a causal flow from terminal markets to Iowa-Southern Minnesota prices before MPR and a causal reversal after MPR enactment. These results likely reflect decreases in volume of negotiated sales, particularly in terminal markets, and greater reliance on mandatorily reported prices for market information.

scholarly journals Do Exports lead Economic Output in Five Asian Countries? A Cointegration and Granger Causality Analysis

2016 ◽  
Vol 6 (2) ◽  
pp. 30
Author(s):  
Jiayi Huang ◽  
Miguel D. Ramirez
Keyword(s):  
Granger Causality ◽  
The Philippines ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Data Set ◽  
Economic Output ◽  
Long Run ◽  
Cointegration Tests ◽  
Causality Tests ◽  
Granger Causality Tests

This paper examines the relationship between exports and economic output for five major Asian economies using annual data in an expanded data set and employing unit root and cointegration analysis. It employs a Vector Error Correction Model (VECM) that treats all variables in the modified production function as potentially endogenous and then determines via weak exogeneity tests whether some of the key variables can be treated as exogenous (omitted from the system). Johansen cointegration tests find a positive long-run relationship between exports and economic output for the Philippines, Singapore, and Thailand. Cointegration tests find a negative long-run relationship between exports and economic output for India. The Block Granger causality tests and impulse response functions for the Philippines and Singapore find stronger causality from exports to economic output rather than the reverse. Granger causality tests in level form also find significant causality from exports to economic output. No causality exists between exports and economic output in the case of India. Exports seem to promote economic growth in three of the four countries that have cointegrated data, which supports the exports-led growth hypothesis found in some of the extant literature. The paper does not find cointegration for China because the variables are integrated of different orders from I(0) to I(2). 

scholarly journals INVESTIGATION OF THE RELATIONSHIP BETWEEN TRADE OPENNESS AND ECONOMIC GROWTH IN THE CASE OF CHINA

2017 ◽  
Vol 5 (7) ◽  
pp. 199-213
Author(s):  
Masoud Ali Khalid ◽  
Khalid Hayder A.Ali
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Trade Openness ◽  
Capital Formation ◽  
Sample Period ◽  
Ardl Model ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
The Relationship

In this paper, we have investigated the relationship between trade openness and long-run economic growth over the sample period 1960–2015, utilizing ARDL model. We found evidence that trade openness is directly correlated with economic growth in the long run. Furthermore, Granger Causality tests recommended that a change in trade openness impacts the long-run of economic growth through the interaction with gross capital formation in the case of China.

scholarly journals Do Operating Profits Induce a Wage Premium Equally Shared among Employees Earning High or Low Incomes?

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 81
Author(s):  
Jarle Aarstad ◽  
Olav A. Kvitastein
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Wage Inequality ◽  
Wage Premium ◽  
Wage Increase ◽  
Low Incomes ◽  
Causality Tests ◽  
Granger Causality Tests

Panel data show that between 2001 and 2014 Norwegian industries’ increasing aggregated operating profits per employee increased average wages and wage inequality. The data imply that increasing profits, perhaps unsurprisingly, induce a wage premium. The data further imply that employees earning high incomes at the outset had the highest wage increase percentage-wise. Decreasing operating profits per employee had opposite but less robust effects on average wages and wage inequality. Panel data Granger causality tests finally showed that average wages, but not wage inequality, reversely and positively affect operating profits per employee.

scholarly journals PRICE INTERACTIONS AND CAUSAL RELATIONSHIPS AMONG CORN, EXCHANGE RATE AND ANIMAL PROTEIN SOURCES IN NIGERIA

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Unekwu Onuche
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Poultry Meat ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Meat Price ◽  
Augmented Dickey Fuller ◽  
Causality Tests ◽  
Short Run ◽  
Adf Test

Price transmissions between corn, exchange rate, poultry meat, and fish were investigated using the data from OECD-FAO for the years 1990-2019, to establish the existence of long-term relationships between them and identify their directions of causality, in order to elicit investmentaiding facts. The augmented Dickey-Fuller (ADF) test, the Johansen cointegration approach and the Granger causality test were employed. Following the ADF test, all series are I(1), while the cointegration test indicates short-run dynamics between them. The Vector Autoregressive (VAR) system reveals that poultry meat price influences all variables, prices of poultry meat and exchange rate relate positively to their own lags, and exchange rate relates positively to lags of poultry meat prices. A positive relationship was noticed between fish price and lags of poultry meat price, while corn price relates positively with lags of poultry meat price. Granger causality tests indicate unidirectional drives from poultry price to fish price, the exchange rate to fish price and poultry meat price to corn price. Responses from prices of fish, corn and poultry to innovations from exchange rate are negative, while positive responses exist in other scenarios. Exchange rate stabilization will mitigate external risks, especially to the fisheries sector, while corn farmers can increase profits in the short-run by exploring knowledge of poultry meat price movements.

scholarly journals Sars-Cov-2 in Argentina: Lockdown, Mobility, and Contagion

2020 ◽  
Author(s):  
Juan M.C. Larrosa
Keyword(s):  
Panel Data ◽  
Granger Causality ◽  
Random Effects ◽  
Social Costs ◽  
Political Discussion ◽  
Fixed And Random Effects ◽  
The World ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Over Time

AbstractThere is a debate in Argentina about the effectiveness of mandatory lockdown measures in containing COVID-19 that lasts five months making it one of the longest in the World. The population effort to comply the lockdown has been decreasing over time given the economic and social costs that it entails. We contributes by analyzing the Argentinian case through information of mobility and contagion given answers to recurrent questions on these topics. This paper aims to fill the gap in the literature by assessing the effects of lockdown measures and the regional relaxation on the numbers of rate of new infections. We also respond to issues of internal political discussion on regional contagion and the effect of marches and unexpected crowd events. We use pool, fixed and random effects panel data modeling and Granger causality tests identifying relations between mobility and contagion. Our results show that lockdown in Argentina has been effective in reducing the mobility but not in way that reduces the rate of contagion. Strict lockdown seems to be effective in short periods of time and by extend it without complementary measures loss effectiveness. Contagion rate seems to be discretely displaced in time and resurging amidst slowly increasing in mobility.

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