scholarly journals Examination of Social Economic Impact on the Energy Consumption of Myanmar

2019 ◽  
Vol 8 (3S) ◽  
pp. 55-60
Keyword(s):  
Energy Consumption ◽  
Economic Impact ◽  
Energy Policy ◽  
Granger Causality ◽  
Energy Use ◽  
Social Economic ◽  
Value Added ◽  
Cointegration Analysis ◽  
Energy Prices ◽  
Causality Test

Southeast Asia country are mostly classified as developing country. One of the aspects that ASEAN concern is the energy poverty problem. Based on the statistics known, around 127 million people in the SEA facing lack of access of electricity. Besides that, 228 million people highly depending traditional biomass to fulfil their daily needs. Myanmar is one of the sixth poorest country in the SEA. The access of electricity in Myanmar are low and experience slow improvement over a decade. Energy policy had been drafted and implemented by Myanmar government. However, the result is no significant. This paper aims to analyze the social economic impact on the energy consumption of Myanmar. The aspect of analyze include energy use, foreign direct investment, population growth, industry value added, GDP per capita growth and trade. Multivariate analysis method adopts which includes descriptive statistics analysis, unit root test, Johannsen cointegration analysis, vector error correction model and Granger causality test. The result shows unidirectional Granger causality for energy consumption with all the aspects. Analyzed data play important role in the future policy planning. Policies such as renewable energy policy, reducing energy prices, taxes and subsidies can help in increasing energy consumption which will bring up other social economic.

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

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.

The dynamic relationship between CO2 emission, international tourism and energy consumption in Pakistan: a cointegration approach

2019 ◽  
Vol 74 (4) ◽  
pp. 761-779 ◽  
Author(s):  
Yaping Liu ◽  
Tafazal Kumail ◽  
Wajahat Ali ◽  
Farah Sadiq
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Environmental Quality ◽  
Energy Use ◽  
Ardl Model ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Growth Energy

Purpose The present study aims to investigate the dynamic relationship between international tourist receipts, economic growth, energy use and carbon dioxide (CO2) emissions in Pakistan over the period 1980-2016. Many researchers have investigated the link between tourism and CO2 emissions, but there is no clear picture as the results are contradictory. This study is an attempt to compliment the literature related to tourism and environmental quality. Design/methodology/approach The study adopted the autoregressive distributed lagged (ARDL) model to investigate the short- and long-run estimates simultaneously. The study further applied Granger causality to find out the direction of causalities. To arrive at long-run robust estimates, the study used dynamic ordinary least squares (DOLS) model. Findings The results found that tourist receipts have no significant impact on environmental quality, while growth and energy consumption are the main determinants of CO2 emissions in Pakistan. The Granger causality test confirmed unidirectional causalities from GDP and energy consumption toward CO2 emissions, while tourist receipts do not affect environmental quality. DOLS technique confirmed the long-run estimates of ARDL model. Research limitations/implications The result of the study complements the literature by adding new evidence regarding the nexus of tourism and environment. Findings of the study are important for policymakers and regulatory bodies to place their focus on the development of tourism sector (services sector) rather than energy-intensive manufacturing activities to sustain the growth of the country in higher quartiles, as tourism receipts have no significant negative externalities toward environment, while energy use is one of the key determinants of environmental degradation. Originality/value This study used time series data over the period 1980-2016 for Pakistan to inspect the dynamic relationship between tourist receipts, economic growth, energy consumption and CO2 emissions.

Energy Saving and Economic Growth: Empirical Analysis Based on Panel Data

2013 ◽  
Vol 805-806 ◽  
pp. 591-594
Author(s):  
Dong Heng Hao ◽  
Guo Zhu Li ◽  
Dian Ru Wang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Energy Saving ◽  
Information Disclosure ◽  
Industrial Structure ◽  
Electricity Consumption ◽  
Value Added ◽  
Energy Prices ◽  
Participation Mechanisms

we analyzed the relationship between energy conservation and economic using panel data. the reduction of energy consumption per unit of GDP and energy consumption per unit of industrial value-added will promote economic growth, however, lower electricity consumption per unit of GDP may inhibit economic growth. Finally, this article puts forward corresponding suggestions, including improving the relevant laws and regulations, speeding up the energy saving information disclosure, improving public participation mechanisms, speeding up the adjustment of industrial structure and technological innovations, and promoting the reform of energy prices.

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 The Effect of Higher Education on Growth: A Cointegration Analysis

2013 ◽  
Author(s):  
Murat Mustafa Kutlutürk ◽  
Hakan Kasım Akmaz ◽  
Ahmet Çetin
Keyword(s):  
Higher Education ◽  
Granger Causality ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

In this study the relationship between higher education and economic growth was investigated using annual data between 1988 and 2012 for Turkey. To see short and long run effects of higher education on growth the Autoregressive Distributed Lag (ARDL) testing approach was used. In this investigation ratio of higher education graduates in employment was used as an explanatory variable. Zivot and Andrews test was implemented for the variables. The long and short run effects of higher education on growth was found significant. Granger causality test was implemented and one way Granger causality from higher education to growth was determined.

scholarly journals The Relationship between Financial Development and Renewable Energy Consumption in South Asian Countries

2021 ◽  
Author(s):  
Sakib Amin ◽  
Farhan Khan ◽  
Ashfaqur Rahman
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Financial Development ◽  
Energy Use ◽  
Green Energy ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Cross Sectional ◽  
Long Run ◽  
Cointegration Tests

Abstract We analyse how the financial development and green energy use are linked to the countries of South Asia from 1990 to 2018. Domestic credit to the private sector and renewable energy consumption is being used in this paper as indicators of financial development and the use of renewable energy. On the indication of cross-sectional dependency among the variables of the models, we apply second generation panel unit root tests and cointegration tests to check the stationarity properties and long-run cointegration relation among the variables. We find that variables are stationary at the first difference, and long-run cointegration exists. By applying robust dynamic heterogeneous and cross-section augmented estimators, we find that increase in GDP increases renewable energy consumption by 1.56-0.50%; however reduces by 0.07-0.03% after certain thresholds. Furthermore, increase in financial development, on average, reduces the propensity of renewable energy consumption by 0.15-0.07% in the long-run. On the other hand, the Dumitrescu-Hurlin panel causality test shows a unidirectional relationship from GDP to financial development and financial development to renewable energy consumption but not vice versa. We suggest that the selected countries revisit and restructure the renewable energy policy and emphasise institutional reforms to strengthen renewable energy development in the upcoming years.

scholarly journals The Impacts of Energy Consumption, Energy Prices and Energy Import-Dependency on Gross and Sectoral Value-Added in Sri Lanka

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6565
Author(s):  
Muntasir Murshed ◽  
Haider Mahmood ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Mohga Bassim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Sri Lanka ◽  
Structural Break ◽  
Value Added ◽  
Oil Price ◽  
Policy Implications ◽  
Energy Prices ◽  
Total Energy Consumption ◽  
Consumption Energy

Drifting away from the neoclassical growth conjecture of economic growth being solely dependent on capital and labor inputs, this paper aimed to evaluate the dynamic impacts of energy consumption, energy prices and imported energy-dependency on both gross and sectoral value-added figures of Sri Lanka. The analysis has particularly used the robust econometric methods that can account for structural break issues in the data. The results, in a nutshell, indicated that energy consumption homogeneously contributes to gross, agricultural, industrial and services value-additions in Sri Lanka. However, positive oil price shocks and greater shares of imported energy in the total energy consumption figures are found to dampen the growth figures, especially in the context of the gross, industrial and services value additions. Besides, the joint growth-inhibiting impacts of oil price movements and energy import-dependency are also ascertained. On the other hand, the causality estimates reveal bidirectional causal associations between energy consumption-gross value-added and energy consumption-industrial value-added. In contrast, no causal impact of energy consumption on the agricultural and services value-added is evidenced. Hence, these findings impose key policy implications for constructing crucial energy policy reforms to make sure that the economic growth performances of Sri Lanka are sustained in the future.

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