Energy Consumption and Its Influencing Factors of Iron and Steel Enterprise

2013 ◽  
Vol 20 (8) ◽  
pp. 8-13 ◽  
Author(s):  
Tao Du ◽  
Tian Shi ◽  
Yong Liu ◽  
Jian-bo Ye
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Iron And Steel

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 Influencing Factors of Commercial Energy Consumption Intention of Rural Residents: Evidence from Rural Chengdu

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1010
Author(s):  
Aichun Jiang ◽  
Qian Zhong ◽  
Yan Wang ◽  
Yibin Ao ◽  
Chuan Chen
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Main Body ◽  
Rural Residents ◽  
Rural Construction ◽  
Commercial Energy ◽  
New Rural Construction

With rapid rural urbanization and new rural construction, the commercial energy consumption of rural residents shows a trend of rapid growth, and China’s rural areas are also faced with environmental challenges brought by the increase of commercial energy consumption. China’s commercial energy consumption behavior of rural residents has also undergone tremendous changes. However, scholars have neglected the research on rural residents’ commercial energy consumption intention from a micro perspective. Therefore, this study takes the 5 villages in Chengdu out of the 100 representative villages in the Sichuan province as examples. From the perspective of the head of a family of permanent rural residents, extended planned behavior theory, exploratory factor analysis, and structural equation modeling are used to explore the influencing factors of rural resident commercial energy consumption intention and their relationship. Findings show that subjective norm, perceived behavioral control (PBC), and habit significantly affect residents’ behavioral intention. Habits significantly influence subjective norms and PBC. Therefore, in the new rural construction, rural residents are the main body and participants of energy consumption. Local government departments should plan reasonably according to the needs and characteristics of residents, constantly improve commercial energy infrastructure, improve service level, and further strengthen farmers’ attitude and satisfaction toward commercial energy. Moreover, they should increase the publicity and education of commercial energy, advocate green housing, and promote energy saving consumption reduction, and sustainable development in new rural areas.

Analysis of Influencing Factors of CO2 Emissions from Integrated Steelworks Based on LCA

2010 ◽  
Vol 650 ◽  
pp. 9-16 ◽  
Author(s):  
Zhi Jia Huang ◽  
Xiao Ding ◽  
Hao Sun ◽  
Si Yue Liu
Keyword(s):  
Continuous Casting ◽  
Co2 Emissions ◽  
Influencing Factors ◽  
Basic Oxygen Furnace ◽  
Hot Metal ◽  
Unit Consumption ◽  
Iron And Steel ◽  
Continuous Casting Slab ◽  
Metal Ratio ◽  
Input Variables

The amount of CO2 emissions from steelworks accounts for a great share of the total CO2 emissions from industry in China. Thus, reducing CO2 emissions from steelworks is urgent for China’s environmental protection and sustainable development. This study aims at identifying factors that influence CO2 emissions from steelworks and proposing measures to reduce CO2 emissions. The life cycle inventory (LCI) of iron and steel products implies the relationship between the CO2 emissions of the steelworks and the input variables of the LCI. The Tornado Chart Tool is utilized to calculate the variation of CO2 emissions caused by the change of each input variables of LCI. Then, mean sensitivity of each input variable is calculated and the ranking criterion developed is used to identify the main factors influencing the integrated steelworks. Subsequently, measures for reducing CO2 emissions are proposed. The results indicate that the very important influencing factors of CO2 emissions in steelworks are the CO2 emission factor of Blast Furnace Gas (BFG), liquid steel unit consumption of continuous casting, continuous casting slab unit consumption of hot rolling and hot metal ratio of steelmaking. Consequently, many efficient measures for reducing CO2 emissions have been proposed, such as removing CO2 contained in BFG, decreasing the hot metal ratio of Basic Oxygen Furnace (BOF), recycling BFG, optimizing the products’ structure, etc.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

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