scholarly journals Analysis of Granger Causality between Migration and Gross Domestic Product in Romania

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.


2020 ◽  
Vol 3 (2) ◽  
pp. 299-305
Author(s):  
Debora Silvia Hutagalung ◽  
◽  
Junaidi Siahaan ◽  

This study entitled "Analysis of The Relationship Between Gross Domestic Product and Indonesian Exports (Granger causality test)”. This research was conducted because of the dualism of the theory between the two variables. In macroeconomic theory, the relationship between Gross Domestic Product is one of the similarities, because exports contribute to Gross Domestic Products on the demand side, while neoclassical trade theory emphasizes causality related to household production and assistance for exports.The purpose of this study is to determine the relationship between Gross Domestic Product and exports. This study uses several analytical methods: Unit Root Test, CointegrationTest, Granger Causality Test using the E-views program7 and using Quarterly data.The results of the estimation of this study are the estimation of the relationship in GDP and exports, or in other words the Gross Domestic Product affects Indonesia's exports. This is concluded based on the estimation results that can be seen from the statistical F value that is greater than the f-table (8.958205> 3.841466) on the Null hypothesis. GDP is not an Export Granger with a 95% confidence level. This means, GDP affects exports When GDP can affect the level of exports in the intervals of 2000 to 2012.Keywords:Gross Domestic Product(GDP), Exports, Granger Causality Test


2019 ◽  
Vol 7 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Ngoc Thuy Ho ◽  
Wann Yi Wu ◽  
Adriana Amaya Rivas ◽  
Phuoc Thien Nguyen

Purpose of this study: This study aims to examine the relationship between energy consumption, gross domestic product, and population for the period of 1985-2015. Methodology: The research questions for this study are as follows: (1) What is the association among energy consumption, GDP, population, and oil price? (2) Which suggestions can be provided on the basis of the research findings? Unit root test, co-integration test, VECM model, and Granger causality are employed to analyze the association among the aforementioned variables. Main Findings: Firstly, the results show the existence of co-integration among the variables. By employing the Granger causality, the research findings demonstrate a unidirectional causality running from population to energy consumption, a unidirectional causality running from energy consumption to gross domestic product, and a unidirectional causality running from population to gross domestic product. Implications: With these results, it is suggested that Vietnam should promote the growth of the population and the energy policies to generate economic growth. Novelty: To the best of our knowledge, this study extends the scarce literature that provides empirical findings regarding this issue.


2020 ◽  
Vol 5 (2) ◽  
pp. 107
Author(s):  
Adya Utami Syukri

This research aims to determine the relationship between gross domestic product, exports, imports, foreign exchange reserves, and foreign debt in Indonesia from 1978 – 2018. As a developed country, Indonesia must know the interrelatedness between the GDP and the variable in the international balance of payment to move the economy well. This research using the Vector Autoregression (VAR) method that includes ADF Test, Granger Causality, Johanssen Co-integration, Vector Error Correction Model (VECM), and forecasting with Impulse Response Function (IRF) and Variance Decomposition (VD). From the Granger causality test results that have been carried out among the five variables, it is concluded that there is no causality relationship, but there are six one-way relationships. Simultaneously, the cointegration test from the Johanssen Co-Integration test results in the five variables tested. Forecasting for the next ten years through the IRF and VD tests shows that GDP positively responds to foreign debt and exports. Exports provide a positive response to GDP and imports. Imports give a positive response to exports, GDP, and foreign exchange reserves. At the same time, foreign debt gives a positive reaction to GDP and imports. Then foreign exchange reserves provide a positive response to exports and foreign debt. The government needs to allocate funds from foreign debt to the export sectors to increase GDP. Keywords: Causality, VECM, Gross Domestic Product, Exports, Foreign Debt Java IndustryJEL Classification: F14,  F41, C01


2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Muhammad Zia Ullah Khan ◽  
Muhammad Khyzer Bin Dost ◽  
Muhammad Wasim Akram ◽  
Pirzada Sami Ullah Sabri

This study plays its role in the literature by investigating the impact of energy consumption on agriculture sector, and environmental cleanliness on Gross Domestic Product, in five South Asian countries from the period of 1990 to 2015. Energy is now becoming a challenge for the South Asian countries especially country like Pakistan. Developing countries are in a race to gather more and more resource for the production of energy. The main objective of research is to examine the short-run and long-run relationship between economic growth and energy consumption on agriculture sector of economy in South Asian countries. Granger causality test and Error correction model is employed to get the results. The empirical results showed the presence of co-integration among the variables and it indicates gross domestic product has a positive relationship with energy consumption in agriculture sector and environmental cleanliness. Granger causality results showed that unidirectional causality is present between gross domestic product and agricultural sector while no causality is present among environment cleanliness.


2015 ◽  
Vol 61 (3) ◽  
pp. 22-31 ◽  
Author(s):  
Vlatka Bilas ◽  
Mile Bošnjak ◽  
Sanja Franc

Abstract This paper examines the relationship between gross domestic product and exports of goods and services in Croatia between 1996 and 2012. The research results confirmed unidirectional Granger causality from the exports of goods and services to gross domestic product. Following the Engle-Granger approach to cointegration, long-term equilibrium as well as short-term correlation between the observed variables was identified. Exports of goods and services and gross domestic product (GDP) in Croatia move together. If the two observed variables move away from equilibrium, they will return to their long-term equilibrium state at a velocity of 24.46% in the subsequent period. In accordance with the results, we found evidence supporting the export-led growth hypothesis in Croatia. As the outcomes indicated, to recover the economy, Croatia should put more emphasis on the development of exporting sectors.


2021 ◽  
pp. 227-242
Author(s):  
Alexander Carvajal ◽  
Oscar López

This paper seeks to empirically test the applicability of the export-led model to the economies of the countries belonging to the Andean Community (Comunidad Andina de Naciones – CAN) by verifying the export-led growth (ELG) hypothesis, which indicates that gross domestic product (GDP) behavior is based on export (EXP) dynamics. This hypothesis was tested for Bolivia, Colombia, Ecuador, and Peru. The methodology used was the application of Johansen cointegration and Block Exogeneity Wald tests to identify Granger causality between variables of the natural logarithms of EXP and GDP. The results obtained show that the causal effect of exports on GDP can only be rejected for the Bolivian economy. Lastly, the main conclusion of this study is that the economic policies of the CAN member countries should not assume that the export sectors are the foundations of their respective economies. Therefore, the CAN governments should not introduce economic policies that prioritize the expansion of the export sector. 


2019 ◽  
Vol 8 (2S11) ◽  
pp. 4114-4119

This research purposes to examine the bond between consumption of energy and gross domestic product of Sri Lanka over the period of time 1980 to 2017. To find the order of integration The Augmented Dicky-Fuller (ADF) and Phillips Perron (PP) unit root tests have used. Study examines long-run relationship through the application of Johanson Cointegration techniques. Dependent variable of this study is Gross Domestic Products (GDP) whereas gross capital formation, inflation, oil, gas, and electricity consumption are independent variables. This research has used secondary data and collected data is analyzed by using EViews 10 statistical software. According to the findings, gas consumption has statistically significant negative relationship to the GDP of Sri Lanka whereas labor force, gross capital formation, consumption of electricity and oil are statistically significant positive relationship with GDP. According to the Granger causality findings bi-directional causality exists in oil, gas and electricity consumption in Sri Lanka. This results reveal that consumption of electricity, gas and oil lead to GDP and GDP leads to electricity, gas and oil consumption. Oil and Gas implies the unidirectional causality with electricity. But, oil and gas have no causality in Sri Lanka. Hence, this paper concluded that consumption of energy has a statistically significant relationship with the gross domestic product of Sri Lanka. Thus, this study suggested that Sri Lanka should utilize energy consumptions in the manufacturing and commercial industries to achieve sustainable growth.


2019 ◽  
Vol 1 (1) ◽  
pp. 21-31
Author(s):  
Afsheen Hashmat ◽  
Ghulam Ghouse

This study is designed to explore the role of technological advancement in agricultural sector in the context of economy of Pakistan. The data set are based on the period from 1972 to 2019. The Autoregressive Distributed Lag (ARDL) bound testing employed to identify the short run and long run relationships between the technological advancement in agricultural sector and gross domestic product. The Granger causality also applied to find out the direction of causal relationships. The ARDL cointegration results indicates that there is positive relationship between technological advancement in agricultural sector and gross domestic product in short run and long run. The Granger causality results also indicate that the GDP growth also Granger cause the agriculture technology. And stability tests show that the model CUSUM and CUSUM of squares indicate that models are valid. The results suggest that technological advancement in agricultural sector has positive impact on GDP in case of Pakistan economy. Technological advancement in agricultural sector strengthens the Pakistan’s economy. There is need to pay more attention by the government administration to provide technological facilities in agricultural sector, properly and efficiently to get more benefits which ultimately enhance the agriculture growth and development of Pakistan’s economy.


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