Study on the industrial structure optimization under constraint of energy intensity

2020 ◽  
pp. 0958305X2092159
Author(s):  
Xiongfeng Pan ◽  
Mengna Li ◽  
Chenxi Pu ◽  
Haitao Xu
Keyword(s):  
Energy Consumption ◽  
Computable General Equilibrium ◽  
Technological Progress ◽  
Energy Intensity ◽  
Industrial Structure ◽  
High Energy ◽  
Industrial Sector ◽  
Added Value ◽  
Tertiary Industry ◽  
Intensity Control

This study establishes a multi-sector dynamic computable general equilibrium framework that integrates energy intensity module to explore the reverse feedback effect of energy intensity control on industry structure. The results indicate that (1) the tightening effect of energy intensity constrains on the Industrial sector is most significant, followed by the Tertiary Industry, with the least impact on Agriculture; (2) when there is no technological progress in the departments, the change of industrial structure is mainly reflected in the sharp decline in the proportion of Industry and the significant increase in the proportion of Tertiary Industry. When technological progress exists in high energy-consumption departments, the tightening effect of energy intensity constraints on the industrial sector will be reduced; when there is technological progress in all departments, the industrial structure will have a smaller change, and the technology progress can alleviate the tightening effect of the energy intensity target on various sectors; (3) under the constraint of energy intensity, the high energy-consuming industry shifts to the Equipment Manufacturing with low energy-consumption and high-added value. The increasing proportion of Tertiary Industry mainly comes from two industries including Wholesale, Retail, Hoteling and Catering, and Transportation, Storage, and Post.

Influence of Industrialization and Urbanization on China’s Energy Consumption

2012 ◽  
Vol 524-527 ◽  
pp. 3122-3128 ◽  
Author(s):  
Heng Ma ◽  
Jie Du
Keyword(s):  
Energy Consumption ◽  
Linear Regression ◽  
Technological Progress ◽  
Industrial Structure ◽  
Added Value ◽  
Energy Prices ◽  
Average Growth Rate ◽  
Average Growth ◽  
Energy Saving Technology ◽  
Negative Time

By taking energy consumption as the dependent variable, urbanization and industrialization and energy prices as independent variables, a model of multivariate linear regression is built to estimate the influence of urbanization and industrialization on energy consumption. The results show that GDP, proportion of industrial added value in GDP, and the proportion of urban residents will increase China's energy consumption; the proportion of tertiary industry in GDP will reduce the energy consumption; and there is a negative time trend of energy consumption because of the influence of technological progress and energy policy. China’s energy consumption in 2015 is predicted by the regression equation with some goals of urbanization and industrialization in the 12th Five-Year Plan of China. The prediction shows that energy consumption will maintain an average growth rate of about 6% during the period of 12th Five-Year. At last, China’s energy policies are analyzed from the industrial structure, energy price and energy saving technology and so on according to the results of linear regression model.

scholarly journals Threshold Effect of Economic Growth on Energy Intensity—Evidence from 21 Developed Countries

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4199
Author(s):  
Jinjin Zhou ◽  
Zenglin Ma ◽  
Taoyuan Wei ◽  
Chang Li
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Urban Population ◽  
Energy Intensity ◽  
Developed Countries ◽  
Renewable Energy Consumption ◽  
Tertiary Industry ◽  
D Investment ◽  
Threshold Point

Based on threshold regression models, this paper analyzes the effect of economic growth on energy intensity by using panel data from 21 developed countries from 1996 to 2015. Results show that a 1% increase in GDP per capita can lead to a 0.62–0.78% reduction in energy intensity, implying economic growth can significantly reduce energy intensity. The extent of the reduction in energy intensity varies depending on the economic development stages represented by key influencing factors including energy mix in consumption, urbanization, industrial structure, and technological progress. Specifically, the reduction in energy intensity due to economic growth can be enhanced with relatively more renewable energy consumption and more urban population until a threshold point, where the enhancement disappears. On the other hand, the extent of the energy intensity reduction due to economic growth can be weakened with relatively more tertiary industry activities and more research and development (R&D) investment in an economy until a threshold point, where the weakening cannot continue. However, compared to the early stages represented by the low ends of renewable energy consumption, urban population, tertiary industry activities, and R&D investment, the later stages represented by the high ends of these key factors after a threshold show the weakened effect of economic growth on the decline of energy intensity. Hence, when an economy is well-developed, policy makers are advised to put fewer expectations on the role of economic growth to reduce energy intensity, while pursuing relatively cleaner energy, greater urbanization, more tertiary industry activities, and advanced technologies.

scholarly journals Energy Consumption Analysis and Characterization of Healthcare Facilities in the United States

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3775 ◽  
Author(s):  
Khaled Bawaneh ◽  
Farnaz Ghazi Nezami ◽  
Md. Rasheduzzaman ◽  
Brad Deken
Keyword(s):  
United States ◽  
Energy Consumption ◽  
Energy Intensity ◽  
The United States ◽  
High Energy ◽  
Total Energy Consumption ◽  
Healthcare Facilities ◽  
Energy Consumption Analysis ◽  
Consumption Data ◽  
End Use

Healthcare facilities in the United States account for 4.8% of the total area in the commercial sector and are responsible for 10.3% of total energy consumption in this sector. The number of healthcare facilities increased by 22% since 2003, leading to a 21% rise in energy consumption and an 8% reduction in energy intensity per unit of area (544.8 kWh/m2). This study provides an analytical overview of the end-use energy consumption data in healthcare systems for hospitals in the United States. The energy intensity of the U.S. hospitals ranges from 640.7 kWh/m2 in Zone 5 (very hot) to 781.1 kWh/m2 in Zone 1 (very cold), with an average of 738.5 kWh/m2. This is approximately 2.6 times higher than that of other commercial buildings. High energy intensity in the healthcare facilities, particularly in hospitals, along with energy costs and associated environmental concerns make energy analysis crucial for this type of facility. The proposed analysis shows that U.S. healthcare facilities have higher energy intensity than those of most other countries, especially the European ones. This necessitates the adoption of more energy-efficient approaches to the infrastructure and the management of healthcare facilities in the United States.

scholarly journals Research on Standard System for “Double Control” of Total Energy Consumption and Energy Intensity

2019 ◽  
Vol 118 ◽  
pp. 01020
Author(s):  
Qing Ding ◽  
Haihong Chen ◽  
Pengcheng Li ◽  
Meng Liu ◽  
Ling Lin
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Continuous Improvement ◽  
Energy Intensity ◽  
Standard System ◽  
Total Energy Consumption ◽  
Intensity Control ◽  
The Future ◽  
Consumption Control

The significance of the principles and methods for building the standard system for “double control” was analyzed. A framework of standard system for “double control” was preliminarily built, comprising three subsystems of fundamental common, total energy consumption control and energy intensity control. The features and shortcomings of standards for “double control” was analyzed, as a reference for the continuous improvement of the standard system for “double control”, as well as the research and preparation of key standards in the future.

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.

scholarly journals Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method

2019 ◽  
Vol 16 (20) ◽  
pp. 4004
Author(s):  
Junliang Yang ◽  
Haiyan Shan
Keyword(s):  
Energy Consumption ◽  
Sulfur Dioxide ◽  
Emission Reduction ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Structure Effect ◽  
Index Method ◽  
Intensity Effect ◽  
Energy Mix ◽  
Sulfur Dioxide Emissions

The Chinese government has made some good achievements in reducing sulfur dioxide emissions through end-of-pipe treatment. However, in order to implement the stricter target of sulfur dioxide emission reduction during the 13th “Five-Year Plan” period, it is necessary to find a new solution as quickly as possible. Thus, it is of great practical significance to identify driving factors of regional sulfur dioxide emissions to formulate more reasonable emission reduction policies. In this paper, a distinctive decomposition approach, the generalized Divisia index method (GDIM), is employed to investigate the driving forces of regional industrial sulfur dioxide emissions in Jiangsu province and its three regions during 2004–2016. The contribution rates of each factor to emission changes are also assessed. The decomposition results demonstrate that: (i) the factors promoting the increase of industrial sulfur dioxide emissions are the economic scale effect, industrialization effect, and energy consumption effect, while technology effect, energy mix effect, sulfur efficiency effect, energy intensity effect, and industrial structure effect play a mitigating role in the emissions; (ii) energy consumption effect, energy mix effect, technology effect, sulfur efficiency effect, and industrial structure effect show special contributions in some cases; (iii) industrial structure effect and energy intensity effect need to be further optimized.

Exploration of the Development of Schemes to Achieve a District-Aggregate Energy-Intensity Goal - Taking the 12th Five-Year Period Energy Intensity Goal of Daxing District, Beijing as a Study Case

2014 ◽  
Vol 962-965 ◽  
pp. 1455-1460
Author(s):  
Xiang Qian Li ◽  
Li Juan Yang ◽  
Ling Ling Chen
Keyword(s):  
Energy Consumption ◽  
Gross Domestic Product ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Losses ◽  
Residential Energy ◽  
Initial Value ◽  
Study Case ◽  
Per Capita

The paper explored how to develop schemes to achieve a district’s energy consumption per gross domestic product (ECPGDP) target. It first analysed the available measures regarding the reduction of ECPGDP. These measures include optimising the industrial structure, reducing the energy intensity of different industries, reducing the per capita residential energy consumption, and reducing the energy losses. Next, the procedure and methods of developing schemes to achieve the target ECPGDP were proposed. The procedure contains five steps: determine the target ECPGDP, predicting the initial value of the ECPGDP, analysing the availability of different measures of reducing the ECPGDP, forming the schemes of achieving the target, and summarising the proposed schemes. Finally, the paper considered the 12th Five-Year period ECPGDP target of Daxing District, Beijing as a study case. In the case study, four quantitative schemes to achieve the target ECPGDP were considered.

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 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.

Research on the Regional Low-Carbon Industrial Development: A Case of Tianjin Binhai New Area

2011 ◽  
Vol 219-220 ◽  
pp. 250-253 ◽  
Author(s):  
Xiao Ying Cui ◽  
Hui Ming Li ◽  
Lei Wang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Development ◽  
Carbon Emission ◽  
Large Scale ◽  
Industrial Structure ◽  
Industrial Sector ◽  
Energy Structure ◽  
Low Carbon ◽  
Tianjin Binhai New Area

Energy consumption induced by industry sector is the main source of carbon emission. So it is important to the policy making that research on the low-carbon industrial development, which is aiming to establish an industry system with low-carbon character. There are four restrictive factors on low-carbon industrial development in Tianjin Binhai New Area of China: the rather large scale of the secondary industry, the heavy industrial structure which strongly caused the increasing energy consumption, the high-carbon energy structure of industrial sector, and the lower industrial energy efficiency which has certain gap compared with other regions. Several countermeasures are proposed to reduce carbon emission induced by industrial sector, such as improving energy efficiency, optimizing energy structure, establishing multiple-access financing mechanism to encourage R&D on low-carbon technology, enhancing the development of low carbon industry, participating in the international cooperation actively, and making strategic plan of low-carbon industrial development.

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