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 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 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 Uncertainty Due to Infectious Diseases and Stock–Bond Correlation

Econometrics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Konstantinos Gkillas ◽  
Christoforos Konstantatos ◽  
Costas Siriopoulos
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Infectious Diseases ◽  
Granger Causality ◽  
Predictive Value ◽  
High Frequency ◽  
Causal Relation ◽  
Granger Causality Test ◽  
Causality Test ◽  
Non Linear

We study the non-linear causal relation between uncertainty-due-to-infectious-diseases and stock–bond correlation. To this end, we use high-frequency 1-min data to compute daily realized measures of correlation and jumps, and then, we employ a nonlinear Granger causality test with the use of artificial neural networks so as to investigate the predictability of this type of uncertainty on realized stock–bond correlation and jumps. Our findings reveal that uncertainty-due-to-infectious-diseases has significant predictive value on the changes of the stock–bond relation.

scholarly journals R&D Investment, Financial and Environmental Performance Nexuses via Bootstrap Fourier Quantiles Granger Causality Test

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 85
Author(s):  
Feng-Li Lin
Keyword(s):  
Financial Performance ◽  
Granger Causality ◽  
Environmental Performance ◽  
Co2 Emission ◽  
Positive Relationship ◽  
Granger Causality Test ◽  
Causality Test ◽  
Emission Reductions ◽  
Policy Makers ◽  
D Investment

This study investigated the relationship between R&D investments and financial and environmental performance. The direction, size, and significance of various phases of these variables were generated using the bootstrap Fourier quantiles Granger causality test. In our results, a positive relationship between R&D investment and CO2 emission reductions was found at two tails of quantiles. Additionally, we observed a significantly positive relationship between financial performance and CO2 emission reductions at the 0.5 quantile and above. The correlation between R&D investment and financial performance was identified to be positive under the 0.3, 0.4, 0.5 and 0.9 quantiles and negative under the 0.5 and 0.6 quantiles. The changing linkages among R&D investment, environmental performance and financial performance found in this study provide important information for policy makers, aiding in the development of R&D strategies to upgrade financial and environmental performance simultaneously.

The effect of spillover on the Granger causality test

2010 ◽  
Vol 37 (9) ◽  
pp. 1473-1486 ◽  
Author(s):  
Panagiotis Mantalos ◽  
Ghazi Shukur
Keyword(s):  
Granger Causality ◽  
Granger Causality Test ◽  
Causality Test

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

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.

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