Coordinated development of industrial structure and energy structure in China: its measurement and impact on CO2 emissions

2020 ◽  
Vol 81 ◽  
pp. 29-42
Author(s):  
J Zhao ◽  
C Dong ◽  
X Dong ◽  
Q Jiang
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Measurement Model ◽  
Ordinary Least Squares ◽  
Energy Structure ◽  
Total Energy Consumption ◽  
Coordinated Development ◽  
Secondary Industry ◽  
Development Levels

This study aims to explore the coordinated development of energy and industrial structures in China and their influence on the country’s inter-provincial CO2 emissions. The study utilizes an unbalanced panel dataset for 30 provinces in China covering 1995-2014 and, based on this, constructs an index system and measurement model of the coordinated development of industrial and energy structures. Considering the stationarity and cointegration of the variables, a series of econometric techniques are employed. At the same time, panel fully modified- and dynamic ordinary least squares (FMOLS and DOLS, respectively) models are used to estimate the long-term parameters of all variables. The overall estimations imply that the coordinated development levels of the dual structures show fluctuating trends, and are mainly at a low coordinated level (50-85%). The coordinated development degree of the dual structures can lead to a decline in CO2 emissions at the provincial level. The key driver is total energy consumption, followed by, in order of their impacts on CO2 emissions, fossil energy consumption, secondary industry ratio, and total population of the provinces and dual structure collaboration. However, the results indicate varied performance among the variables across regions. Finally, corresponding policy recommendations are proposed.

scholarly journals Projections and Recommendations for Energy Structure and Industrial Structure Development in China through 2030: A System Dynamics Model

2019 ◽  
Vol 11 (18) ◽  
pp. 4901 ◽  
Author(s):  
Song Han ◽  
Changqing Lin ◽  
Baosheng Zhang ◽  
Arash Farnoosh
Keyword(s):  
Energy Consumption ◽  
System Dynamics ◽  
Industrial Structure ◽  
Simulation Software ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Per Capita

In this research, we established a System Dynamics Model named “E&I-SD” to study the development of the energy structure and industrial structure in China from 2000 to 2030 using Vensim Simulation Software based on energy economy theory, system science theory and coordinated development theory. We used Direct Structure Test, Structure-oriented Behavior Test, and Behavior Pattern Test to ensure the optimal operation of the system. The model’s results showed that the indicators of total energy consumption, total added value of GDP after regulation, energy consumption per capita, and GDP per capita were on the rise in China, but emissions per unit of energy showed a downward trend. Separately, the model predicted average annual growth rates in China through 2030. Based on these findings, we proposed important policies for China’s sustainable development. Firstly, short- and long-term policy measures should be implemented to replace fossil fuels with clean energy. Secondly, the utilization efficiency of raw coal should be appraised future. The planning should provide for steady development and improvement of the primary, secondary, and tertiary sectors. Thirdly, the mid- and long-term plans for development and management of various industrial sectors and the corresponding energy consumption should be based on technological trends. Finally, a market-oriented pricing mechanism for energy should be established in China as soon as possible.

Analysis of Econometric Relationship between Urbanization and Energy Consumption in China

2013 ◽  
Vol 295-298 ◽  
pp. 2475-2480 ◽  
Author(s):  
Qing You Yan ◽  
Xiao Mei Dong ◽  
Xin Yao
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Integration Theory ◽  
Short Term ◽  
Total Energy Consumption ◽  
Resource Saving ◽  
Correction Model ◽  
Urbanization Level ◽  
Equilibrium Relationship

This paper analyzed the econometric relationship between the urbanization and energy consumption from 1990 to 2010 in China with the co-integration theory and the error correction model. The results show that there is a long-term equilibrium relationship between urbanization and the total energy consumption, which has an effect of short-term adjustment. Urbanization has different effects on the consumption of coal, natural gas and electricity. Besides, the improvement of the urbanization level can lead to the increase of energy consumption in the short term. However, the energy efficiency can be improved in the long term due to the readjustment of the industrial structure and the promotion of energy-saving technologies. Therefore, the establishment of resource-saving urbanization model will help to reduce energy consumption under the current condition.

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.

Carbon Dioxide Emissions from Energy Consumption and Projections in Shaanxi Province

2014 ◽  
Vol 522-524 ◽  
pp. 176-180
Author(s):  
Jian Xu ◽  
Wei Zhang ◽  
Jin Suo Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Carbon Oxide ◽  
Industry Structure ◽  
Shaanxi Province ◽  
Energy Structure ◽  
Calculation Methodology ◽  
Secondary Industry

Using the calculation methodology based on energy consumption, the amount of carbon emissions due to energy consumption in Shaanxi province were calculated from 2000 to 2010. The decreasing trends in carbon emission were analyzed in terms of energy structure, economic growth and industry structure. The increasing of carbon oxide emission of energy consumption of Shaanxi province was mainly drove by economic increasing. The carbon emission of the Secondary industry is the biggest one in energy consumption which is 60% in the gross carbon emission, then, the Tertiary industry is 20% of the gross carbon emission.

scholarly journals 3Es System Optimization under Uncertainty Using Hybrid Intelligent Algorithm: A Fuzzy Chance-Constrained Programming Model

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Jiekun Song ◽  
Kaixin Zhang ◽  
Zijian Cao
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Programming Model ◽  
System Optimization ◽  
Ammonia Nitrogen ◽  
Optimization Under Uncertainty ◽  
Chance Constrained Programming ◽  
Intelligent Algorithm ◽  
Total Energy Consumption ◽  
Hybrid Intelligent Algorithm

Harmonious development of 3Es (economy-energy-environment) system is the key to realize regional sustainable development. The structure and components of 3Es system are analyzed. Based on the analysis of causality diagram, GDP and industrial structure are selected as the target parameters of economy subsystem, energy consumption intensity is selected as the target parameter of energy subsystem, and the emissions of COD, ammonia nitrogen, SO2, andNOXand CO2emission intensity are selected as the target parameters of environment system. Fixed assets investment of three industries, total energy consumption, and investment in environmental pollution control are selected as the decision variables. By regarding the parameters of 3Es system optimization as fuzzy numbers, a fuzzy chance-constrained goal programming (FCCGP) model is constructed, and a hybrid intelligent algorithm including fuzzy simulation and genetic algorithm is proposed for solving it. The results of empirical analysis on Shandong province of China show that the FCCGP model can reflect the inherent relationship and evolution law of 3Es system and provide the effective decision-making support for 3Es system optimization.

ALTERNATIVE FUELS IN TRANSPORT AS ENERGY SECURITY FACTOR IN EUROPEAN UNION

2017 ◽  
Vol 72 (0) ◽  
pp. 65-84 ◽  
Author(s):  
Barbara Pawłowska
Keyword(s):  
Energy Consumption ◽  
Alternative Fuels ◽  
Clean Energy ◽  
Energy System ◽  
Low Carbon ◽  
Total Energy Consumption ◽  
Low Carbon Economy ◽  
Energy Union ◽  
Energy And Climate Policy

The Energy Union is aimed at providing secure, sustainable, competitive energy to the EU population at affordable prices. A thorough transformation of the European energy system is required to accomplish this goal. The Energy Union is an important project which is supposed to set a new direction and a clear long-term vision for the European energy and climate policy. Transport is one of the key sectors in terms of energy consumption. In 2015, 94% of the energy used transport originated from crude oil and the sector’s share in the total energy consumption was 34% (Eurostat, 2016). The aim of the article is to show the activities in respect of the implementation of the “Clean Energy for Transport” package and its importance for the implementation of the Energy Union objectives. The development of an alternative fuel market should reduce the dependence on oil and contribute to increased security of the energy supply for Europe, promote economic growth and reduce greenhouse gas emissions in transport. Tools aimed at supporting the transition to low-carbon economy will be analyzed in the article. The scope of popularization of alternative fuels is determined to a large extent by market conditions and the extent to which an adequate infrastructure is developed. Hence, particular emphasis will be placed on the priorities for the development of technology and research, technical integration of solutions and financial support for alternative fuels.

Effects of Energy Prices on Energy Efficiency in China

2014 ◽  
Vol 962-965 ◽  
pp. 1767-1772
Author(s):  
Zun Ming Ren
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Industrial Structure ◽  
Time Series Data ◽  
Series Data ◽  
Energy Prices ◽  
Electricity Prices ◽  
Consumption Structure ◽  
Integration Test

The paper utilized the co-integration test, error correction model and Granger causality test, and other methods to verify the influence of the coal, oil and electricity prices, industrial and energy consumption structures on China's energy efficiency based on time-series data from 1979 to 2010. Test results show that: there is long-term equilibrium relationship of the energy prices, industrial structure, energy consumption structure and energy efficiency; coal prices, industrial structure and energy consumption structure are the Granger reasons of energy efficiency both in the short and long run; while the oil and electricity prices only constitute the long-term Granger reasons of energy efficiency. Finally, it analyzed the implications of policies of the empirical results and provided some constructive suggestions.

Energy Consumption and Structural Reformation in Chinese Northeast Old Industrial Base

2013 ◽  
Vol 448-453 ◽  
pp. 4281-4284 ◽  
Author(s):  
Shao Bo Liu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Energy Utilization ◽  
Energy Structure ◽  
Energy Technology ◽  
Industrial Base ◽  
Old Industrial Base ◽  
Emissions Intensity

Using IPCC methodology, the carbon emissions of Chinese Northeast Old Industrial Base is calculated, and the energy's synthesized impact on carbon emissions intensity is presented. The resulting shows that the carbon emissions in the three northeast provinces decreased 52.87% from 2000 to 2010, of which, Liaoning, Jilin and Heilongjiang are individually 60.09%, 45.47% and 54.14% lower. The implications are that the energy structure is one of the main factors in carbon emission in the Old Industrial Base of Northeast China, and its industrial structure is changing greatly due to energy consumption carbon emission. To adjust optimally the energy and industrial structure, and to develop the energy technology to promote energy utilization are recommended.

scholarly journals Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Energy Consumption ◽  
Industrial Development ◽  
Building Sector ◽  
Total Energy Consumption ◽  
Heating And Cooling ◽  
Urban Energy ◽  
The Impact

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.

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