The relationship between energy consumption structure, economic structure and energy intensity in China

Energy Policy ◽  
2009 ◽  
Vol 37 (12) ◽  
pp. 5475-5483 ◽  
Author(s):  
Taiwen Feng ◽  
Linyan Sun ◽  
Ying Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Economic Structure ◽  
Consumption Structure ◽  
The Relationship

Research on Energy Efficiency and Environmental Pollution in China: a Simultaneous Equations Approach

2011 ◽  
Vol 361-363 ◽  
pp. 974-977 ◽  
Author(s):  
Ying Nan Dong ◽  
Yu Duo Lu ◽  
Jiao Jiao Yu
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Economic Loss ◽  
Simultaneous Equations ◽  
Consumption Structure ◽  
The Relationship

This paper examined the relationship between the energy efficiency and the environmental pollution. By using the data of energy intensity and economic loss caused by environmental pollution (ELP) in China from 1989-2009, a simultaneous equations was developed. The result of two-stage OLS estimation suggested that the energy had exerted positive influences on the decreasing of the environmental pollutions. By enhancing the energy efficiency and adjusting the industrial structure and energy consumption structure, China is exploring a road for sustainable development in the energy conservation.

Analysis of Energy Consumption Influence Factors in Japan Based on LMDI Model

2011 ◽  
Vol 71-78 ◽  
pp. 2416-2419
Author(s):  
Hong Qin Liu ◽  
Xu Yan ◽  
Hai Yan Duan ◽  
Xian En Wang
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Japanese Economy ◽  
Consumption Structure ◽  
Structure Adjustment ◽  
Industrial Structure Adjustment ◽  
Rapid Industrialization ◽  
Positive Effect

After World War Ⅱ Japanese economy has undergone three periods: the rapid industrialization period, the industrial structure adjustment period and the economy depression period. Affected by the speed of economic development, industrial structure and other factors, Japanese energy consumption has shown different features during specific period of time. This article use the LMDI model, analyze the effect of different factors on Japanese energy consumption which include economic development, energy intensity, energy consumption structure and population size, research on the weight of specific factors during each developing period. The results show that all the factors show positive effect in the rapid industrialization period; in the industrial structure adjustment period, economic development factor shows positive effect while energy consumed factor shows negative; and in the depression period, the trend of all the factors contribution rate are slowly, economic development and energy consumption structure also show negative effect besides the energy intensity factor.

scholarly journals Using Panel Data to Evaluate the Factors Affecting Transport Energy Consumption in China’s Three Regions

2019 ◽  
Vol 16 (4) ◽  
pp. 555 ◽  
Author(s):  
Tianxiang Lv ◽  
Xu Wu
Keyword(s):  
Energy Consumption ◽  
Panel Data ◽  
Energy Intensity ◽  
Eastern Region ◽  
Total Energy Consumption ◽  
Stirpat Model ◽  
Factors Affecting ◽  
Significant Relationships ◽  
Main Driver ◽  
The Relationship

In China, transportation accounts for a large proportion of total energy consumption and that trend is projected to increase in the future. Through the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, OLS regressions were conducted to investigate the impacts of gross domestic product (GDP), urbanization, energy intensity and transport structure on the transport energy consumption in China’s three regions. The analyses of inter-provincial panel data during the period 2006–2015 is compared to the analysis of the data from 1996 to 2005 to determine the change. There were two primary findings from this study. First, the changes of the influencing degree in three regions are considered. GDP is still the main driver of transport energy consumption in eastern region, while urbanization becomes the main driver in the other two regions. Second, the relationship between the elasticity and the value of each variable is detected. The elasticity of transport energy consumption with respect to GDP, transport structure, energy intensity and urbanization have separate positive and significant relationships. The primary measure is to optimize transport structure in the central region, while reducing energy intensity in the western region. Finally, we propose relevant policy recommendations for the three regions.

scholarly journals Innovations as a Necessary Factor of Resource Potential of Social and Economic Systems Development

2018 ◽  
Vol 251 ◽  
pp. 05005
Author(s):  
Svetlana Nikonorova ◽  
Sergey Grachev ◽  
Maria Zakirova
Keyword(s):  
Cluster Analysis ◽  
Energy Consumption ◽  
Correlation Analysis ◽  
Energy Intensity ◽  
Systems Development ◽  
Innovation Activity ◽  
Economic Systems ◽  
Resource Saving ◽  
Resource Potential ◽  
The Relationship

The article reviews an impact of innovation activity of the territories on the basis of the available resource potential by the introduction of resource-saving technologies. A correlation analysis of the relationship between gross domestic product and energy consumption has been carried out. A practice of a some countries on energy intensity reduction has been analyzed. A cluster analysis of the energy sector in a some countries was been completed.

scholarly journals Physical, technological and technical characteristics of the blasted rock mass in terms of energy intensity of the processes

2021 ◽  
Vol 303 ◽  
pp. 01034
Author(s):  
Ivan Panachev ◽  
Ilya Kuznetsov ◽  
Anastasia Shirokolobova
Keyword(s):  
Rock Mass ◽  
Energy Consumption ◽  
Specific Energy ◽  
Energy Intensity ◽  
Coal Mines ◽  
Specific Energy Consumption ◽  
Rock Blasting ◽  
Mining Equipment ◽  
The Relationship

Kuzbass coal mines are equipped with powerful mining equipment; it is CME excavator type with bucket capacity from 4.6 m3 to 20 m3. To evaluate the efficiency of the excavation processes, a universal criterion was used – the value of specific energy consumption (kW h/m3). The dependences of excavator efficiency on the quality of rock blasting, estimated by the diameter of the average piece in the shot pile, are obtained. The relationship between the efficiency of excavators CME - 4.6, CME – 8, CME – 12.5, CME – 20, their energy intensity and the diameter of an average piece in the shot pile is determined.

scholarly journals The wealth of nations and sustainable development: energy intensity and the environmental Kuznets curve

2020 ◽  
Vol 11 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Ola Honningdal Grytten ◽  
Magnus Lindmark ◽  
Kjell Bjørn Minde
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Intensity ◽  
Polynomial Regression ◽  
Continuous Series ◽  
Kuznets Curve ◽  
Wealth Of Nations ◽  
The Relationship

Scholars warn that wealth leads to unsustainable environmental development. However, over the last decades, studies have shown an increase in environmental degradation at the initial stage of economic growth, and then a decline when economic growth reaches a certain level. This first acceleration and then deceleration create an inverted U-shaped curve between pollution and economic growth, called the environmental Kuznets curve (EKC). Environmental degradation can be measured by different factors. This paper deals with two of them, i.e. energy consumption and energy intensity (EI). The latter is measured as the ratio between energy consumption and GDP. The relationship of energy consumption and intensity to economic growth can serve as a tool for examining whether an EKC exists. The paper presents continuous series of energy consumption energy intensity and gross domestic product for the Norwegian mainland economy 1835–2019. The series are used to examine the possible existence of relative and absolute environmental Kuznets curves (EKC). Time series are established using available data and annual figures for 1835–2019, which are presented for the first time. They depict a development that, first, reflects an almost constant downward trend in EI, and, second, the existence of EKCs. The paper also proposes a polynomial regression model to discuss the relationship between environmental degradation as measured by energy consumption and intensity on the one hand, and economic growth on the other. It is concluded that there are both relative and absolute EKC-relations between environmental degradation and economic growth, with 1975 as relative and 2002 as absolute turning point.

scholarly journals Analysis of carbon dioxide emissions, energy consumption, and economic growth in China

2020 ◽  
Vol 66 (No. 4) ◽  
pp. 183-192 ◽  
Author(s):  
Abrham Tezera Gessesse ◽  
Ge He
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Economic Structure ◽  
Energy Utilization ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Long Run ◽  
The Relationship

This study examines the nexus of carbon dioxide (CO2) emissions, energy consumption (EC) and gross domestic products (GDP), using an Autoregressive Distributed Lag (ARDL) bounds test approach of co-integration and error-correction model (ECM) for the period 1971–2015. The aim of the research is to i) examine the relationship between CO2 and GDP as “cross-coupling, relative decoupling, or absolute decoupling,” and validate the existence of the Environmental Kuznets Curve (EKC) hypothesis; ii) detect causality between CO2 emissions, EC, and GDP, and scrutinize their impacts. The ARDL results confirm a long-run and short-run co-integration relationship between the variables. The relationship between CO2 emissions and GDP is “relatively decoupling,” and the EKC exists in China. Its CO2 emissions are more explained by EC and contribute twofold of GDP. In the long run, there was significant negative causality from CO2 emission and GDP to EC. This indicates Chinese economic development structure should be re-designed towards energy-saving and decarbonized economic structure. Moreover, the central and provincial governments of China should synchronize optimal energy utilization and green economic structure to mitigate environmental deterioration and climate change.

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