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>

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.

scholarly journals Vector autoregressive-based Granger causality test in the presence of instabilities

2019 ◽  
Vol 19 (4) ◽  
pp. 883-899 ◽  
Author(s):  
Barbara Rossi ◽  
Yiru Wang
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test ◽  
Robust Test ◽  
Vector Autoregressive ◽  
Causality Tests ◽  
Granger Causality Tests

In this article, we review Granger causality tests that are robust to the presence of instabilities in a vector autoregressive framework. We also introduce the gcrobustvar command, which illustrates the procedure in Stata. In the presence of instabilities, the Granger causality robust test is more powerful than the traditional Granger causality test.

Contemporaneous and Granger causality among US corn cash and futures prices

2018 ◽  
Vol 46 (4) ◽  
pp. 663-695 ◽  
Author(s):  
Xiaojie Xu
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Futures Prices ◽  
Causality Test ◽  
Out Of Sample ◽  
Causality Tests ◽  
Granger Causality Tests

AbstractThis paper examines contemporaneous and Granger causality among US corn futures and seven cash prices from major producing states for January 2006–March 2011. Causal flows from futures to cash prices are identified with contemporaneous and in-sample Granger causality tests but not with the out-of-sample Granger causality test. While no interstate in-sample or out-of-sample Granger causality is found, contemporaneous causal linkages are revealed. No causality from cash to futures prices is determined.

FDI Trade and Its Effects on Agricultural Development in Nigeria: Evidence From Time Series Analysis

2014 ◽  
Vol 1 (1) ◽  
pp. 28-40 ◽  
Author(s):  
Oji-Okoro Izuchukwu ◽  
Huang Huiping ◽  
Abba Shehu Abubakar ◽  
Edun Adetunji Olufemi
Keyword(s):  
Agricultural Development ◽  
Agricultural Sector ◽  
Unit Root Test ◽  
Causality Test ◽  
Agricultural Output ◽  
Agricultural Produce ◽  
Step Procedure ◽  
Augmented Dickey Fuller ◽  
Quality Framework ◽  
The Government

Agricultural sector is seen as an engine that contributes to the growth of the overall economy of Nigeria, despite several government efforts the sector is still characterized with low yields and limited areas under cultivation due to government dependence on mono-agricultural economy based on oil. This study attempts to evaluate the impacts of FDI, trade and its effects on agricultural sector development in Nigeria between the periods of 1980-2009, in analyzing the variables (VAR) model was used employing a three-step procedure. The Unit root test was conducted using the Augmented Dickey Fuller (ADF) and Philips-Parron (PP). Johansen and Juselius multivariate Cointregration test indicate that there is a present of cointregration. Granger causality test result shows that the variables employed have a bidirectional relationship, unidirectional relationship and no casual relationship. It is recommended that in order to boost agricultural output and develop the sector as a whole, more FDI should not only be sourced, there is a need for the government to provide legal and administrative quality framework and encourage more exportation of agricultural output that will enhance foreign exchange earnings and improve the competitiveness of Nigeria agricultural produce in the international market.

scholarly journals Innovative Development of the Agricultural Sector in the Visegrad Group Countries

2021 ◽  
Vol 14 (1) ◽  
pp. 1-13
Author(s):  
Anastasiia Burdiuzha
Keyword(s):  
Granger Causality ◽  
Agricultural Sector ◽  
Value Added ◽  
Innovation Activity ◽  
European Patent ◽  
Innovative Development ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
The Impact ◽  
Visegrad Group

Abstract Subject and purpose of work: Analysis of the innovative development trends of the agricultural sector in the Visegrad Group countries in 1995–2019. Investigation of the impact of innovation on value added to GDP by the sector and the patent activity. Materials and methods: Secondary data used in the current research were taken from Eurostat, World Bank and European Patent Office databases. They were analyzed by applying OLS models and Granger causality tests. Results: First, composition of R&D expenses in each Visegrad country was examined. Then its relationship to agricultural GDP and the number of the patents granted was tested by means of OLS models. Forecasting the relationship between variables examined was carried out by running Granger causality tests. Conclusions: There was a constant growth in agricultural innovation activity investment from 1995 to 2019. Nevertheless, the countries examined have not yet reached the EU’s objective concerning the R&D intensities. Innovation activity had a positive impact on the value added to GDP by agriculture and on the number of the patents granted.

scholarly journals Determinants of Agricultural Production and Agricultural Sector Output in Nigeria

2020 ◽  
pp. 1-9
Author(s):  
Ewubare Dennis Brown ◽  
◽  
Asimiea Iyabode ◽  
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Rural Areas ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Granger Causality Test ◽  
Causality Test ◽  
Agricultural Credit ◽  
Production Output ◽  
The Impact

The study examined the determinant of agricultural production and agricultural sector output in Nigeria. The objective of the study is to determine the impact of agricultural production determinants on agricultural output. The study was carried out based on secondary data collected through the CBN statistical bulletin unit root test was conducted test and granger causality test were used as the main statistical tests. The findings from the study based on the OLS results shows that agricultural funding, agricultural credit/loan as well as exchange rate have positive relationship with agricultural production output. Also, the granger causality test shows that agricultural funding, agricultural credit loan as well as exchange rate impact on agricultural production output. In view of the findings, it is recommended for adequate budgetary provisions for the agricultural sector in order to provide infrastructural facilities to the rural areas where farm produce are concentrated in order to boost production. Also, provision of credit facilities to the agricultural sector through the farmers in rural areas should be encouraged

scholarly journals THE EFFECT OF CLIMATE CHANGE ON THE AGRICULTURAL SECTOR IN TURKEY

2021 ◽  
pp. 183-200
Author(s):  
Ayşe Esra Peker ◽  
Ayşe Er
Keyword(s):  
Climate Change ◽  
Climatic Change ◽  
Granger Causality ◽  
Industrial Revolution ◽  
Agricultural Sector ◽  
Granger Causality Test ◽  
Climatic Changes ◽  
Causality Test ◽  
Energy Needs ◽  
Study Setting

After Industrial Revolution, severe increases were experienced in fossil fuel consumption due to increased energy needs. The endless struggle of humankind for interest and his/her ignorance of environmental devastation led greenhouse gas to accumulate in the atmosphere, global warming to be experienced and, depending on this, climatic change to form. This process experienced has caused many international and national studies to be conducted in the area of climatic change related to the different disciplines, and the issue has taken place in the top orders among the leading subjects in academic platforms. This study discussed the effect of climatic change in Turkey on the agricultural sector. The sectors dealt with the study the agricultural sector, and the effects of climatic changes were aimed to be introduced with an econometric model. In agricultural sector, the effects of climatic changes from the perspective of the product productivity were analyzed by means of the agricultural sector, the effects of climatic changes from the perspective of product productivity were analyzed through Granger Causality Test. In the study, the period of 1970 -2017 was based on. The study deals with the issue on a sectorial basis; additionally, its effect is evaluated on the basis of product productivity from the original aspect of the study. Setting out from the results obtained in the study, climatic policies directed to the agricultural sector for Turkey were formed. The effects of the process on the sector were explicitly introduced. Developing climatic policies directed to this sector was targeted to contribute to the literature. Keywords: Climate change, agricultural products, granger causality test, variance decomposition.

scholarly journals Employment in Agribusiness and Purchases of Agricultural Products: The Effects of Monetization in Yugoslavia

1996 ◽  
Vol 28 (2) ◽  
pp. 357-368
Author(s):  
Dragan Miljkovic ◽  
Roberto J. Garcia
Keyword(s):  
Granger Causality ◽  
Agricultural Sector ◽  
Agricultural Products ◽  
Rate Of Growth ◽  
Livestock Marketing ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Grain Marketing

AbstractEfforts to stabilize employment and output in the agricultural sector of Yugoslavia through monetization contributed to inflationary pressures. Granger causality tests suggest that increases in the rate of growth in the supply of money to subsidize state-owned agribusinesses were insufficient to maintain purchases of wheat and corn, but did cause purchases of cattle and swine. This result may be explained by producers having more flexibility in grain marketing (i.e., storage options and private buyers) and the perishability issues related to livestock marketing. The policy to maintain employment through monetization is shown to have been ineffective.

scholarly journals Causal relationships between economic policy uncertainty and housing market returns in China and India: evidence from linear and nonlinear panel and time series models

2017 ◽  
Vol 22 (2) ◽  
Author(s):  
Sheung-Chi Chow ◽  
Juncal Cunado ◽  
Rangan Gupta ◽  
Wing-Keung Wong
Keyword(s):  
Granger Causality ◽  
Policy Uncertainty ◽  
Market Returns ◽  
Causality Test ◽  
China And India ◽  
Causality Tests ◽  
Causality Relationship ◽  
Granger Causality Tests ◽  
Linear And Nonlinear ◽  
Housing Returns

AbstractIn this paper, we modify the multivariate nonlinear causality test to be panel nonlinear causality test and we apply these and other existing related tests to examine the causal relationship between growth in economic policy uncertainty (EPU) and real housing returns in China and India using quarterly data from 2003:01 to 2012:04. Both panel linear and nonlinear Granger causality tests suggest the existence of only linear and nonlinear unidirectional causality relationships from growth in EPU to real housing returns in both China and India, and bivariate linear Granger causality tests suggest the existence of only linear unidirectional causality relationship from growth in EPU to real housing returns only in China. However, nonlinear bivariate Granger causality tests conclude the existence of nonlinear bidirectional causality relationships between growth in EPU and real housing returns in both China and India and cross bivariate linear and nonlinear Granger causality tests discover that there is only a linear causality relationship from Indian growth in EPU to Chinese housing returns. The results confirm the relevance of EPU data to better understand and predict the future behaviour of housing market returns in these countries.

scholarly journals Existe Alguma Relação entre Retornos Contábeis e Retornos do Mercado de Ações no Brasil?

2007 ◽  
Vol 5 (2) ◽  
pp. 233
Author(s):  
Newton Carneiro Affonso da Costa Jr. ◽  
Roberto Meurer ◽  
César Medeiros Cupertino
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Market Returns ◽  
Causality Test ◽  
Stock Market Returns ◽  
Weak Evidence ◽  
Causality Tests ◽  
The Relationship

This paper examines the relationship between accounting and stock market returns of Brazilian companies on a quarterly basis. The sample consisted of 97 companies with stocks traded in the Sao Paulo Stock Exchange from January of 1995 to March of 2007. A Granger causality test was applied to the two return series for each of the sampled companies. The results of the causality tests suggested that there is weak evidence that accounting returns lead stock market returns rather than the reverse.

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