scholarly journals Substitution Effect of Natural Gas and the Energy Consumption Structure Transition in China

2020 ◽  
Vol 12 (19) ◽  
pp. 7853
Author(s):  
Weiwei Xiong ◽  
Liang Yan ◽  
Teng Wang ◽  
Yuguo Gao
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Capital Investment ◽  
Cumulative Effect ◽  
Energy Transition ◽  
Substitution Effect ◽  
Energy Structure ◽  
Structure Transition ◽  
Consumption Structure ◽  
Positive Effects

A crucial problem which China faces is how to improve its energy consumption structure. In this paper, a system dynamic model of energy substitution based on energy capital and putty-clay theory is adopted, in order to explore the substitution effect of natural gas on the energy consumption structure transition in China. The results demonstrate that the huge capital stocks of coal and oil capacities effectively delay the progress of natural gas substitution for optimizing the energy structure, resulting in a limited effect of natural gas substitution in the short term and a large cumulative effect in the long term. Further scenario analyses indicate that natural gas subsidies and carbon price policies have positive effects on the growth of natural gas consumption and the optimization of the energy structure. We also found that a higher pressure of safety supply may emerge to meet the demand for energy consumption in the energy transition. Recommendations are given for improving the energy consumption structure in China from three aspects: allocating capital investment to natural gas, reducing the transition cost between natural gas and other energy sources, and awareness of the systemic risks in energy consumption.

scholarly journals Does change of industrial structure affect energy consumption structure: A study based on the perspective of energy grade calculation

2018 ◽  
Vol 37 (1) ◽  
pp. 579-592 ◽  
Author(s):  
Yang Hong ◽  
Peng Can ◽  
Yang Xiaona ◽  
Li Ruixue
Keyword(s):  
Energy Consumption ◽  
Calculation Method ◽  
Technological Progress ◽  
Industrial Structure ◽  
Energy Resources ◽  
Energy Sources ◽  
Energy Structure ◽  
Consumption Structure ◽  
The Difference ◽  
The Impact

In this article, the grades of different kinds of energy sources are distinguished. Thus, we put forward an equivalent electric calculation method, which is compliant with the calculation of various energy resources that have different grades. Based on this aspect, we empirically analyzed the influence of industrial structure changing on energy consumption structure by analyzing panel data in 30 provinces of China from 2003 to 2013. Results showed that the calculated results of equivalent electric calculation method were more accurate because it considered the difference in grades between various energy sources. Industrial structure changing had a significant impact on energy consumption structure. The upgrading and rationalization of the industrial structure had a significant promotion on energy structure cleaning. In addition, technological progress was conducive to the clean development of energy structure, the decrease in energy price boosted energy structure cleaning, and the impact of economic level on energy consumption structure was not significant.

Analysis of Hunan Province Industry’s Carbon Emission Based on the Energy Consumption Structure

2014 ◽  
Vol 641-642 ◽  
pp. 1078-1081
Author(s):  
Lin Wu ◽  
Han Li
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
High Energy ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Coal Consumption ◽  
Consumption Structure ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Energy consumption carbon emission factor method was used to analyze the carbon emission evolution of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. Results had shown that Hunan province industry’s carbon emission keep increasing in 2000-2012. There is a highly correlation between the total coal consumption and carbon emission of industrial energy carbon emission. Industrial energy consumption structure plays a decisive role in carbon emission. Industrial economic growth at the expense of high energy consumption in 2000-2005 has changed. Industrial carbon intensity has a fluctuated downward trend from 2005 to 2012. From the perspective of carbon emission per industrial output and industrial energy consumption structure, there is a large potential for carbon emission control in Hunan industrial energy consumption. Therefore, the main way to control carbon emission of industrial energy consumption in Hunan Province is to optimize the energy structure, reasonable adjustment of industry structure, improve energy technical level, proper control the growth of energy consumption.

scholarly journals Can Green Finance Optimize Energy Structure: A Spatial Econometric Analysis based on China's Traditional and Renewable Energy Consumption

2021 ◽  
Author(s):  
Hui Wang ◽  
Lili Jiang ◽  
Hongjun Duan ◽  
Yifeng Wang ◽  
Yichen Jiang
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Spillover Effect ◽  
Energy Structure ◽  
Renewable Energy Consumption ◽  
Spatial Spillover ◽  
Consumption Structure ◽  
Green Finance ◽  
The Impact ◽  
Spatial Spillover Effect

Abstract This paper studies the impact of the development of green finance on China’s energy consumption structure. In terms of the construction of the green finance index (GFI), this paper selects 17 basic indexes from the three aspects of economy, finance, and environment, uses the improved entropy weight method to construct the GFI, and studies the spatial spillover effect of the GFI of China's provinces. This paper further studies the impact of green finance on traditional and renewable energy consumption. We first uses panel regression to determine that the development of green finance has a positive effect on the slowdown of traditional energy consumption and acceleration of renewable energy consumption, and then further studies the spatial characteristics of green finance development on energy consumption by using spatial Durbin model. The results show that there is a positive spatial spillover effect in the development of green finance among provinces in China. The development of green finance contributes to the conversion of traditional to renewable energy consumption. The effect of green finance on the transformation of energy consumption structure is mainly reflected in the direct effect. Therefore, the government should support the green finance, reduce traditional energy consumption and increase renewable energy consumption.

scholarly journals Study on Optimization Path of Energy Consumption Structure of Container Terminal

2021 ◽  
Author(s):  
Ruiyu Li ◽  
Haifeng Fang ◽  
Guodong Wang ◽  
Qingfang Ma
Keyword(s):  
Energy Consumption ◽  
Industrial Development ◽  
Technological Development ◽  
Container Terminal ◽  
Clean Energy ◽  
Container Terminals ◽  
Energy Structure ◽  
Policy Intervention ◽  
Consumption Structure ◽  
Current Energy

This study accounts current energy consumption of various types of equipments in Chinese container terminals through investigating typical terminals; compares and analyzes the clean energy application technologies from the perspectives of technical level, investment cost, and others; on this basis, construct the predictive model of energy consumption structure, and uses scenario analysis to carry out energy consumption predictions under each scenario and analyzes the effect of policy intervention, technological development and other factors. According to the predictive results, this study holds that in order to optimize energy structure of container terminal, container terminals should strongly promote the application of clean energy to port machinery instead of fuel on the basis of the industrial development and cost reduction of high-power and large-capacity power batteries; at the same time, strengthen policy encouragement and guidance are needed.

scholarly journals China’s Energy Transition Policy Expectation and Its CO2 Emission Reduction Effect Assessment

2021 ◽  
Vol 8 ◽  
Author(s):  
Di Wang ◽  
Xue Liu ◽  
Xiaodi Yang ◽  
Zhiyuan Zhang ◽  
Xinchen Wen ◽  
...  
Keyword(s):  
Emission Reduction ◽  
Energy Transition ◽  
Control Group ◽  
Energy Structure ◽  
Baseline Scenario ◽  
Low Carbon ◽  
Structure Transition ◽  
Reduction Effect ◽  
Transition Policy ◽  
The Impact

Measuring the expected impact of China’s energy transition on carbon dioxide (CO2) mitigation and identifying the key influencing factors in different economic sectors will help to provide better policy recommendations for CO2 emission reduction. Based on the prediction results of China’s CO2 emissions in 2030 under the baseline scenario and the target scenario, this study constructs the control group and the treatment group of the energy transition policy quasinatural experiment and then uses the difference in difference (DID) model to evaluate the CO2 emission reduction effect of China’s energy transition policy. The results reveal that the energy transition policy has a significant impact on CO2 emission reduction and helps to achieve China’s 2030 carbon emission reduction target. The impact of energy structure transition on CO2 emission reduction has significant sectoral heterogeneity, which has a positive reduction effect in the industry sector, wholesale and retail sectors, and accommodation and catering sectors, but its reduction effect is not obvious in transportation, storage, and postal sectors. It is suggested that China should implement the sector-differentiated CO2 mitigation strategy, focus on improving the industrial sector’s energy efficiency, and promote the clean, low-carbon transition of energy consumption structure in construction, transportation, storage, and postal industries.

scholarly journals A Research on the Factors Influencing Carbon Emission of Transportation Industry in “the Belt and Road Initiative” Countries Based on Panel Data

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2405 ◽  
Author(s):  
Changzheng Zhu ◽  
Dawei Gao
Keyword(s):  
Energy Consumption ◽  
Panel Data ◽  
Carbon Emissions ◽  
International Energy Agency ◽  
Belt And Road Initiative ◽  
Transportation Industry ◽  
Consumption Structure ◽  
Positive Effects ◽  
Belt And Road ◽  
The Belt And Road

Carbon emissions in countries in the “Belt and Road Initiative (BRI)” account for more than half of the world’s total volume. According to the international energy agency report, the world transportation industry carbon emissions in 2015 came second on the list for the proportion of global carbon emissions across all industries, accounting for 23.96% of the total. Along with the advancement of the BRI construction, transportation industry carbon emissions will continue their rapid growth. Therefore, studying the factors affecting the carbon emissions of the transportation industry in countries in the BRI is conducive to the formulation of policies to control carbon emissions. In this paper, the CO2 emissions of the transportation industry in countries in the BRI line from 2005 to 2015 were measured, and then the influencing factors of 57 countries in the BRI were analyzed by using the panel data model. The results show that per capita GDP, urbanization level, and energy consumption structure have positive effects on the carbon emissions of transportation industry, while technology level and trade openness have negative effects on carbon emissions of the transportation industry. Therefore, in order to effectively control the carbon emissions of the transportation industry in the BRI countries, it is necessary to reasonably control the transportation industry carbon emissions caused by urbanization, optimize the energy consumption structure of the transportation industry, optimize the structure of the transportation industry, and improve the openness of trade and the technical level of the BRI countries.

scholarly journals Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors

2020 ◽  
Vol 17 (1) ◽  
pp. 357
Author(s):  
Ruyin Long ◽  
Qin Zhang ◽  
Hong Chen ◽  
Meifen Wu ◽  
Qianwen Li
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Northern China ◽  
Well Being ◽  
Spillover Effects ◽  
Local Area ◽  
Energy Structure ◽  
Positive Effects

Current energy efficiency indicators (such as energy intensity) do not properly reflect the inherent relationship between “energy-environment-health”. Therefore, this study introduces the indicator of energy intensity of human well-being (EIWB) to depict the efficiency problem between energy consumption and residents’ health. In this paper, panel data of 30 provinces in mainland China from 2005 to 2016 is used to calculate the EIWB of each province and analyze its spatial distribution. Moreover, the effect of influencing factors on EIWB is investigated by using the spatial Durbin model. The results show that: (1) The EIWB presents a spatial agglomeration. The provinces with high EIWB mostly cluster in the northern China. (2) Industrial structure and energy structure have positive effects on EIWB in local area through increasing energy consumption and damaging residents’ health. (3) The effect of urbanization and income on local EIWB is significantly positive because it will promote energy consumption. (4) Industrial structure, health expenditure, foreign direct investment and technological progress have spatial spillover effects due to its significant impact on residents’ health in neighboring areas. Based on conclusions, the corresponding policy recommendations are proposed.

scholarly journals Green Development Efficiency and Its Influencing Factors in China’s Iron and Steel Industry

2021 ◽  
Vol 13 (2) ◽  
pp. 510
Author(s):  
Junfeng Zhang ◽  
Jianxu Liu ◽  
Jing Li ◽  
Yuyan Gao ◽  
Chuansong Zhao
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Steel Industry ◽  
Capital Investment ◽  
Driving Forces ◽  
Iron And Steel Industry ◽  
Eastern Region ◽  
Iron And Steel ◽  
Positive Effects ◽  
Green Development

Analyzing the potential for green development and its influencing factors is an important part of the energy savings and low-carbon economic growth of China’s iron and steel industry (ISI). Many studies have concentrated on improving the ISI’s energy use and pollution control efficiencies, analyzing the influencing factors from the perspectives of regions and firms. However, no study has focused on measuring the provincial green development efficiency (GDE) in the ISI. The selected driving forces of the GDE do not consider regional or industrial characteristics. In this study, based on provincial panel data for 2006–2015 in China, the GDE of the Chinese ISI was evaluated using the super-slack-based measure (super-SBM) model. China’s 28 provinces were divided into different groups through cluster analysis. Then, a Tobit model was constructed to explore the factors influencing the GDE. The key results show the following: (1) The GDE values decline, fluctuating from 0.628 in 2006 to 0.571 in 2015, decreasing by 1.1% annually. Among the provinces, wide differences exist in the GDE values for the ISI, with the highest average GDE value being observed in Beijing and the lowest in Shanxi. (2) The provinces with high R&D expenditure inputs and high GDE values are mostly located in the eastern region, while the provinces with low R&D expenditure inputs and low GDE values are located in the central and western regions. (3) The export demand, property structure, and capital investment have significant positive effects on the ISI’s GDE in the eastern and western regions, while the energy consumption structure and industry scale have negative impacts on the improvement of the GDE in the central region. (4) Specific policy recommendations for sustainable development in the ISI mainly include further strengthening investment in R&D, expanding exports, adjusting energy consumption structures, and deepening the reform of stated-own enterprises.

scholarly journals Heterogeneous Impacts of Extreme Climate Risks on Global Energy Consumption Transition: An International Comparative Study

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4189
Author(s):  
Jiaying Peng ◽  
Yuhang Zheng ◽  
Ke Mao
Keyword(s):  
Climate Change ◽  
Energy Consumption ◽  
Panel Data ◽  
Fixed Effects ◽  
Energy Transition ◽  
Energy Structure ◽  
Global Energy ◽  
Climate Risks ◽  
Extreme Climate ◽  
The Impact

In response to the uncertainty of extreme climate change, energy consumption structure has been actively adjusted globally. Based on panel data of 101 countries or regions from 2006 to 2019, a panel data model with fixed effects is used to analyze the heterogeneous impacts of extreme climate risks on global consumption transition. The results show that extreme climate change has promoted the transition of the energy structure, reduced the consumption of fossil energy, and increased the consumption of renewable energy. Meanwhile, there are heterogeneous impacts of extreme climate change risks on the energy transition when different countries suffering from extreme weather conditions. Areas with high levels of economic development and coastal countries are more inclined to respond to climate change through energy transition. It is further confirmed that, under the impact of business cycle and oil price fluctuations, economic recession and falling oil prices will strengthen the correlation between climate risk and the global energy transition, and governments need to pay more attention to the impact of climate risks.

scholarly journals Analysis of Energy Consumption and Electricity Alternative Potential in Northern Hebei Province

2019 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Yonghua Wang ◽  
Yue Xu ◽  
Jia-Xin Zhang
Keyword(s):  
Energy Consumption ◽  
Hebei Province ◽  
Energy Structure ◽  
High Input ◽  
Development Mode ◽  
Consumption Structure ◽  
High Consumption ◽  
High Emission ◽  
Pollution Emissions ◽  
And Control

The long-established coal-based energy structure and the development mode characterized by high input, high consumption and high emission in northern Hebei can hardly sustain. Electricity alternative is an effective way to optimize the energy structure and control pollution emissions. The paper analyzes the current situation of energy consumption structure and electricity alternative in northern Hebei. It shows that despite of many problems, electricity alternative in northern Hebei enjoys a huge potential.

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