scholarly journals Tourism and Poverty Reduction in Mexico: An ARDL Cointegration Approach

2019 ◽  
Vol 11 (3) ◽  
pp. 845 ◽  
Author(s):  
Jorge Garza-Rodriguez
Keyword(s):  
Poverty Reduction ◽  
Structural Break ◽  
Household Consumption ◽  
International Tourism ◽  
Causality Test ◽  
Correction Model ◽  
Per Capita ◽  
One Year ◽  
The Relationship

The objective of this paper was to investigate, with respect to the case of Mexico, the relationship between international tourism and the magnitude of poverty during the period of 1980–2017, through the use of an autoregressive distributed lags (ARDL) cointegration model with a structural break. The econometric results obtained in this paper indicate that there is a long-term relationship between international tourism and the reduction of poverty. It was found that for every 1% increase in international tourism, household consumption per capita increases 0.46% (and, therefore, poverty decreases). In the short term, it was found that a 1% increase in international tourism leads to a 0.11 % increase in household consumption per capita (a decrease in poverty). The coefficient of the error correction model indicates that 23.9% of any movement into disequilibrium is corrected within one year. To corroborate these results, a Toda–Yamamoto Granger causality test was carried out, indicating a unidirectional causality relationship from international tourism towards the reduction of poverty.

An Empirical Research on the Relationship between Foreign Direct Investment and Carbon Dioxide Emission Intensity of China

2013 ◽  
Vol 807-809 ◽  
pp. 951-957 ◽  
Author(s):  
Xiao Yan Ren ◽  
Shui Li Yang
Keyword(s):  
Co2 Emissions ◽  
Direct Investment ◽  
Carbon Dioxide Emission ◽  
Granger Causality Test ◽  
Causality Test ◽  
Correction Model ◽  
Test Error ◽  
Emissions Intensity ◽  
The Relationship

In this paper, the method of carbon emissions coefficient is used to have measured the total amount of CO2 emissions and to have calculated the CO2 emissions intensity of China from 1995-2010. The relationship between FDI and CO2 emissions intensity of China is also analyzed in the paper by means of cointegration test, error correction model and granger causality test. The results indicate that there is a long-term relationship between FDI and CO2 emissions intensity of China. Furthermore, the growth of FDI makes effect on CO2 emissions intensity of China, but CO2 emissions intensity of China doesnt make effect on the growth of FDI conversely.

scholarly journals Short And Long Term Effects Of Tourism Gdp Performance In Malaysia

2021 ◽  
pp. 1333-1341
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Vector Error Correction Model ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Stationary Test ◽  
The Relationship

This study applies observational investigation and concentrates on two primary variables which foreign direct investment and tourism. Information from 1991 to 2019 was gathered from World Bank to focus the relationship among the variables. The tests used to decipher this result are Stationary Test, Co-integration Test, Vector Error Correction Model and Granger Causality test. First, the Stationary Test focused on the Augmented Dickey Fuller (ADF) test was measuring about the time series data’s stationary property. Next, the method used to assess the existence of the relationship between two foreign direct investment variables and tourism is the Co-integrated Test. The Vector Error Correction Model (VECM) includes a bug fix model that should focus on the core behavior of that model. VECM specifies a simulated model that changes simultaneously towards its long-term estimates. It shows that disequilibrium disease will join in to make it work longer. VECM similarly observed the relationship between the variables over time. Finally, the Granger Causality Test was performed to look at the causal relationship between the two variables which is the relationship between foreign direct investment and tourism

scholarly journals Terrorism and Macroeconomy: A Review of The Eurasian Economies

2017 ◽  
Author(s):  
Özge Korkmaz
Keyword(s):  
Unemployment Rate ◽  
Inflation Rate ◽  
Causal Link ◽  
Cointegration Analysis ◽  
Causality Test ◽  
Per Capita Gdp ◽  
Export Rate ◽  
Per Capita ◽  
The Relationship

The relationship between terrorist incidents, inflation rate, unemployment rate, per capita GDP, export rate and import rate for Eurasian countries Ukraine, Moldova, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Azerbaijan, Armenia and Belarus for the period 1994-2015. For this purpose, the Westerlund cointegration analysis and have been using the causality test introduced by Holtz-Eakin, Newey and Rosen. As a result of the analyzes, it is observed that there is a long-term relationship between the export rate and the terrorist incidents and the export rate is the reason for the terrorist incidents. At the same time, it has been found that there is no long-term interaction and causal link between all other variables and terrorist incidents considered in the study.

Relationship Between the Use of Renewable Energy, Carbon Dioxide Emission, and Economic Growth

2021 ◽  
pp. 339-355
Author(s):  
Ferhat Özbay ◽  
Ceren Pehlivan
Keyword(s):  
Renewable Energy ◽  
Carbon Dioxide Emission ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Gdp Per Capita ◽  
Causality Test ◽  
Per Capita Gdp ◽  
Per Capita ◽  
The Relationship

The study aims to examine the relationship between the use of renewable energy, CO2, and GDP per capita. In this study that has been carried out on Turkey for the period 1990-2018, time series analysis is used. The long-term relationship between variables is revealed by the cointegration test. The periodic changes of the variables are examined by the variance decomposition and impulse-response function. Finally, with the causality test, the relationship between variables and the direction of this relationship are revealed. Findings show that there is a cointegrated relationship between the variables.. According to variance decomposition in the period of 10 lags, the renewable energy variance is 96% due to itself, 2.74% to CO2, and 0.50% to shocks in per capita GDP. As for impact-response functions, while the response of renewable energy to the GDP per capita variable is negative in the first two periods, it increase slightly in the following period, and after the sixth period, the effect of the shock diminished.

Empirical Research of the Relationship between Energy Consumption and Economic Growth in Beijing

2014 ◽  
Vol 962-965 ◽  
pp. 2220-2224
Author(s):  
Jie Yang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Integration Test ◽  
The Relationship

This paper investigates the dynamic causal relationship between energy consumption and economic growth in Beijing over the period 1980-2012. The Johansen co-integration test, Granger causality test and the vector error correction model (VECM) are used to calculate the causal relationship between energy consumption and economic growth. The conclusion is that there exists a co-integration relationship between energy consumption and economic growth, and this relationship is a one way relationship from economic growth to energy consumption. Further, using VECM, the long-term and short-term elasticity from economy to energy consumption are 0.43 and 0.14 separately. Statistical analysis shows that, from 1980 to 2011, every 1% growth in GDP annually would drive energy consumption increasing rate by 0.43% correspondently.

An Empirical Analysis of the Relationship between Economic Growth and Energy Utilization in China

2013 ◽  
Vol 734-737 ◽  
pp. 1666-1670
Author(s):  
Fei Hu Yang ◽  
Peng Zhang ◽  
Xiao Wei Wang
Keyword(s):  
Economic Growth ◽  
Empirical Analysis ◽  
Energy Utilization ◽  
Correction Model ◽  
Vector Autoregressive ◽  
Integration Test ◽  
Recycling Economy ◽  
The Relationship ◽  
The Empirical Analysis

Based on the co-integration test, error correction model and vector autoregressive model, the empirical analysis results show a long-term co-integration relationship between economic growth and energy utilization in China, energy consumption increased by 1%, GDP will increase by 1.342%. In order to raise the efficiency of energy utilization during China's economic development, suggestions like saving energy conservation, reducing emission and recycling economy have been proposed.

Financial Inclusion and CO2 Emissions in Asia: Implications for Environmental Sustainability

2021 ◽  
Author(s):  
Shahzad Hussain ◽  
Tanveer Ahmad ◽  
Syed Jawad Hussain Shahzad
Keyword(s):  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Principal Component ◽  
Financial Inclusion ◽  
Causality Test ◽  
Policy Makers ◽  
Long Term Impact ◽  
Sustainable Economic Growth ◽  
The Relationship

Abstract We examine the relationship between financial inclusion and carbon emissions. For this purpose, we develop a composite indicator of financial inclusion based on a broad set of attributes through principal component analysis (PCA) for 26 countries in the Asia region. Our robust panel regression analysis reveals a significant positive long-term impact of financial inclusion on carbon emissions. The pairwise causality test reveals unidirectional long-term causality running from financial inclusion to carbon emissions. The study suggests that policy makers may design policies that integrate accessible financial systems into climate change adaptation strategies in order to neutralize the side effect of financial inclusion deteriorating environmental quality and inclusive sustainable economic growth. JEL ClassificationO16; O44, Q54

scholarly journals FGF21 Levels in Pheochromocytoma/Functional Paraganglioma

Cancers ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 485 ◽  
Author(s):  
Judita Klímová ◽  
Tomáš Zelinka ◽  
Ján Rosa ◽  
Branislav Štrauch ◽  
Denisa Haluzíková ◽  
...  
Keyword(s):  
Fibroblast Growth Factor 21 ◽  
Tumor Removal ◽  
Anthropometric Indices ◽  
Secondary Diabetes ◽  
Beneficial Effects ◽  
Patients With Diabetes ◽  
Biochemical Measurements ◽  
One Year ◽  
The Relationship

Fibroblast growth factor 21 (FGF21) is a hepatokine with beneficial effects on metabolism. Our aim was to evaluate the relationship between the serum FGF21, and energy and glucose metabolism in 40 patients with pheochromocytoma/functional paraganglioma (PPGL), in comparison with 21 obese patients and 26 lean healthy controls. 27 patients with PPGL were examined one year after tumor removal. Basic anthropometric and biochemical measurements were done. Energy metabolism was measured by indirect calorimetry (Vmax-Encore 29N). FGF21 was measured by ELISA. FGF21 was higher in PPGL than in controls (174.2 (283) pg/mL vs. 107.9 (116) pg/mL; p < 0.001) and comparable with obese (174.2 (283) pg/mL vs. 160.4 (180); p = NS). After tumor removal, FGF21 decreased (176.4 (284) pg/mL vs. 131.3 (225) pg/mL; p < 0.001). Higher levels of FGF21 were expressed, particularly in patients with diabetes. FGF21 positively correlated in PPGL with age (p = 0.005), BMI (p = 0.028), glycemia (p = 0.002), and glycated hemoglobin (p = 0.014). In conclusion, long-term catecholamine overproduction in PPGL leads to the elevation in serum FGF21, especially in patients with secondary diabetes. FGF21 levels were comparable between obese and PPGL patients, despite different anthropometric indices. We did not find a relationship between FGF21 and hypermetabolism in PPGL. Tumor removal led to the normalization of FGF21 and the other metabolic abnormalities.

scholarly journals Macroeconomic Variables and Foreign Direct Investment Inflows in Turkey

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Saliha Meftah ◽  
Abdelkader Nassour
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Short Term ◽  
Causality Test ◽  
Correction Model ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
Vector Error ◽  
Causality Relationship

Foreign direct investment (FDI) is an essential factor in the development of a country. This study aims to examine what factors influence foreign direct investment. By using the vector error correction model, the research shows that there is a long-term causality relationship between exchange rates and inflation with FDI. However, in the short term, there are no variables that affect FDI. Besides, the Granger causality test shows causality in the direction of GDP and FDI, while other variables do not have causality. This research has implications for policymakers to pay attention to macroeconomic variables in increasing the flow of foreign direct investment.

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