Analysis on Regional Difference of Causal Relationship between Energy Consumption Intensity and Economic Growth in Eastern, Central and Western China

2014 ◽  
Vol 912-914 ◽  
pp. 1592-1595
Author(s):  
Mei Shang
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Western China ◽  
Consumption Structure ◽  
Growth Energy ◽  
Full Consideration ◽  
Consumption Intensity

In this paper, statistic data of year 1995-2011 of China is grouped into panel data of eastern, central and western China to analyze long-term co-integration, short-term and long-term causal relationship between energy consumption intensity and economic growth and energy consumption structure in detail, it could be concluded that causal relationship between energy consumption intensity and economic growth and energy consumption structure are varying from region to region, which contain the policy implication that local government shall make their economic development and energy consumption policies with full consideration to the nature of relationship between energy consumption and economic development to avoid using others experience by rote. Keywords: energy consumption intensity; economic growth; energy consumption structure; co-integration; causality

scholarly journals Relationships among energy consumption, air pollution and economic growth in China

2020 ◽  
Vol 194 ◽  
pp. 04003
Author(s):  
Li Song ◽  
Kalissa Fatoumata Kir ◽  
Ping Shu
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Economic Development ◽  
Energy Consumption ◽  
Granger Causality ◽  
Gas Emission ◽  
Energy Economy ◽  
The Government ◽  
Growth Energy

How to solve air pollution problerms in the process of economic development have arouse policy makers’ attention in China. This paper examines the long-term relationships between industrial gas emission, energy consumption and economic growth in China from 1983 to 2014. Results show that both economic growth and energy consumption have significant effect on industrial gas emission for a long period. Energy consumption is the Granger causality of industrial gas emission at the 5% significant level, but not vice versa. Economic growth is also the Granger causality of industrial air emissions, but not vice versa. In the long term, it is essential to decrease energy consumption in order to attain high air quality. Making energy policy should pay attention to improve efficiency, so as to keep balance between economic growth, energy consumption and environmental protection. When making energy and economy policies, the government need to consider the relationship between energy consumption, economic development and atmospheric protection so as to seek a balance between energy , economy and environment protection.

Study on Dynamic Relationship between Economic Growth and Energy Consumption in Chongqing - Based on 1980-2011 Data

2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Demand ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Improve Energy Efficiency ◽  
Dynamic Relationship ◽  
Equilibrium Relationship

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.

The Asymmetric Impact of Economic Growth, Energy Consumption, Population, and R&D on Carbon Emission in Turkey

2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Nonlinear Ardl ◽  
Asymmetric Impact ◽  
The Asymmetry ◽  
Growth Energy

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.

scholarly journals Decomposition Analysis of Carbon Emissions from Energy Consumption in Beijing-Tianjin-Hebei, China: A Weighted-Combination Model Based on Logarithmic Mean Divisia Index and Shapley Value

2018 ◽  
Vol 10 (7) ◽  
pp. 2535 ◽  
Author(s):  
Yi Liang ◽  
Dongxiao Niu ◽  
Weiwei Zhou ◽  
Yingying Fan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Logarithmic Mean ◽  
Consumption Structure ◽  
Consumption Intensity ◽  
Weighted Combination

The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has drawn a great deal of attention due to the fog and haze condition and other environmental problems. Further, the high carbon emissions generated by energy consumption has restricted its further coordinated development seriously. In order to accurately analyze the potential influencing factors that contribute to the growth of energy consumption carbon emissions in the B-T-H region, this paper uses the carbon emission coefficient method to measure the carbon emissions of energy consumption in the B-T-H region, using a weighted combination based on Logarithmic Mean Divisia Index (LMDI) and Shapley Value (SV). The effects affecting carbon emissions during 2001–2013 caused from five aspects, including energy consumption structure, energy consumption intensity, industrial structure, economic development and population size, are quantitatively analyzed. The results indicated that: (1) The carbon emissions had shown a sustained growth trend in the B-T-H region on the whole, while the growth rates varied in the three areas. In detail, Hebei Province got the first place in carbon emissions growth, followed by Tianjin and Beijing; (2) economic development was the main driving force for the carbon emissions growth of energy consumption in B-T-H region. Energy consumption structure, population size and industrial structure promoted carbon emissions growth as well, but their effects weakened in turn and were less obvious than that of economic development; (3) energy consumption intensity had played a significant inhibitory role on the carbon emissions growth; (4) it was of great significance to ease the carbon emission-reduction pressure of the B-T-H region from the four aspects of upgrading industrial structure adjustment, making technological progress, optimizing the energy structure and building long-term carbon-emission-reduction mechanisms, so as to promote the coordinated low-carbon development.

Economic Growth, Energy Consumption and Tourism Development in Taiwan: A Granger Causality Approach

2012 ◽  
Vol 524-527 ◽  
pp. 3376-3379 ◽  
Author(s):  
Ming Liu ◽  
Sue Ling Lai ◽  
Kuo Cheng Kuo
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Tourism Development ◽  
Point Of View ◽  
Test Results ◽  
Policy Makers ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Growth Energy

This study examines the causal relationship among economic growth, energy consumption and tourism development in Taiwan over the period from 1965 to 2010. Three Principle test results emerge from this study. First, test results indicate a long-run equilibrium relationship and a bi-direction of causality between energy consumption and tourism development with one proxy, number of visitors, being more significant than the other, visitor expenditures. Second, a bi-directional causality between energy consumption and economic growth is observed. Third, test results indicate no reciprocal causal relationship between tourism development and economic growth. From an energy conservation and sustainable tourism point of view, it is suggested policy makers and industry leaders develop high value, high profit tourism products that aim on attracting more visitor expenditures rather than numbers of visitor.

Tourism, economic growth, energy consumption, and CO2 emissions in China

2020 ◽  
pp. 135481662091845 ◽  
Author(s):  
Jiekuan Zhang ◽  
Yan Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Policy Implications ◽  
Long Run ◽  
Cointegration Tests ◽  
Short Run ◽  
Vecm Granger Causality ◽  
Growth Energy

In this article, we for the first time applied the vector error correction model (VECM) Granger causality approach to investigate the short-run and long-run causal relationships among tourism, economic growth, energy consumption, and carbon dioxide (CO2) emissions for 30 Chinese provinces over the period 2000–2017. The results implied that the analyzed variables became stationary at their first differences. The panel cointegration tests indicated the presence of a long-term equilibrium relationship among these four analyzed variables. Results from the VECM Granger causality tests suggested that the bidirectional short-term causalities were statistically confirmed between gross domestic product (GDP) and tourism. Additionally, we found that some unidirectional short-run causalities existed running from energy consumption to other analyzed variables and bidirectional long-run causalities existed between CO2 emissions and GDP, CO2 emissions and tourism, and GDP and tourism. Moreover, we also found the existence of unidirectional long-term causalities running from energy consumption to other analyzed variables. Based on these findings, we highlighted some key policy implications to develop China’s sustainable tourism.

scholarly journals HUBUNGAN KAUSALITAS KEMISKINAN, TINGKAT PENGANGGURAN, DAN PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 16 (1) ◽  
pp. 13-23
Author(s):  
Akhmad Akhmad
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Causal Relationship ◽  
Vector Autoregression ◽  
Short Term ◽  
South Sulawesi ◽  
Long Run ◽  
Short And Long Term

Economic development basically aims to increase economic growth, reduce poverty and unemployment. Therefore the research aims to find out the causal relationship between economic growth, unemployment and poverty in the Southern Province. This research used panel data of 24 districts / cities in South Sulawesi Province during 2007 to 2018, which was obtained from the Central Statistics Agency. Data were then analyzed using Vector Autoregression analysis. The results showed that shocks to economic growth have an impact on reducing unemployment and poverty rates both short and long term. Meanwhile shocks to unemployment, have an impact on increasing poverty rates in the short and long term, and have an impact on declining economic growth in the short term, but slowly economic growth returns to the balance point. Furthermore, the shock to poverty also has an impact on increasing unemployment in the short term, but slowly leads to a point of convergence in the long run. It is better to make economic growth decrease in the short term, but slowly towards the point of balance in the long run.

Correlation Analysis on the Energy Consumption Structure and Economic Growth: Taking Shandong Province as an Example

2013 ◽  
Vol 869-870 ◽  
pp. 914-918
Author(s):  
Chang Lu Zhang ◽  
Zhang Lu Tan
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Shandong Province ◽  
Green Economy ◽  
Low Carbon ◽  
Important Indicator ◽  
Consumption Structure ◽  
Economic Entity ◽  
New Energy

With peoples growing awareness of green economy, low-carbon economic development has been increasingly demanded. The relationship of energy consumption structure and economic growth can be an important indicator for an economic entitys ecological economy process. With the implementation of the Shandong peninsula blue economic zone in 2011, Shandong Province has been developing rapidly in recent years. Taking Shandong economic entity as the research object, the paper analyses the correlation between the economic development and different kinds of energy consumption, including coal, oil, electricity and new energy, with the grey correlation model using the data from 2000 to 2009 that representing the economic development and energy consumption. The result of the study shows that new energy consumption has the great correlation with economic development indicating that Shandong emphasizes on the development and utilization of new energy to reduce the excessive consumption of non-renewable energy in its economic growth.

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.

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