scholarly journals Carbon Footprint of Residents’ Housing Consumption and Its Driving Forces in China

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3890
Author(s):  
Liquan Xu ◽  
Yong Geng ◽  
Dong Wu ◽  
Chenyi Zhang ◽  
Shijiang Xiao
Keyword(s):  
Energy Consumption ◽  
Carbon Footprint ◽  
Rural Areas ◽  
Driving Forces ◽  
Negative Impact ◽  
Large Population ◽  
Mitigation Measures ◽  
Energy Structure ◽  
Housing Consumption ◽  
Stirpat Model

A large population size and rapid economic growth have resulted in a huge amount of housing consumption in China. Therefore, it is critical to identify the determinants of housing carbon footprint (CF) and prepare appropriate carbon mitigation measures. By employing the IPCC accounting method, input-output analysis and the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, this study aims to study the spatio-temporal patterns and identify the driving factors of housing CF. The results show that regional disparities and urban-rural differences existed during the period 2012–2017. The results of the extended STIRPAT model show that population scale and energy consumption per unit building area are the two dominant contributors to the housing CF increments in all areas. While, family size only shows significant negative impact in eastern and western regions, the per capita disposable income only induces higher housing CF in rural areas, and energy structure had a remarkable positive impact in urban area of western region and all rural areas. Policy recommendations are proposed to mitigate the overall housing CF, including; controlling population growth and promoting urbanization benefits; encouraging green consumption; optimizing household energy consumption structure, and; enhancing residential building energy management.

scholarly journals Spatial–Temporal Evolution and Factor Decomposition for Ecological Pressure of Carbon Footprint in the One Belt and One Road

2018 ◽  
Vol 10 (9) ◽  
pp. 3107 ◽  
Author(s):  
Qipeng Sun ◽  
Yafang Geng ◽  
Fei Ma ◽  
Chao Wang ◽  
Bo Wang ◽  
...  
Keyword(s):  
International Trade ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Driving Forces ◽  
Inhibitory Effect ◽  
Mitigation Measures ◽  
Energy Structure ◽  
Low Carbon ◽  
The One ◽  
Ecological Pressure

Low-carbon and green development is important to promote the sustainable economic and social development of countries along the One Belt and One Road. These countries have distinct differences in their ability to withstand carbon emission pressures and their driving factors, due to different stages of development and economic characteristics. This paper presents a model of ecological pressure of the carbon footprint in energy consumption (EPcfec), defined by three states: light, balanced, and heavy pressure. The EPcfec was calculated from data on 56 countries along the One Belt and One Road from 1994–2014, and analysis of the data’s temporal and spatial evolutionary rules was conducted. Furthermore, we used the LMDI method to extract the driving forces of EPcfec and evaluated the contribution of these factors to the overall region and seven sub-regions. The results showed that EPcfec growth slowed over time, with the value of EPcfec reaching 3190.51 in 2014. Resource-rich countries have a greater value of EPcfec and are mainly distributed in parts of West Asia, North Africa, and Southeast Asia. The per capita export of goods and services, and the population density on productive land contribute to ecological pressure on the carbon footprint. Energy structure, the influence of international trade on GDP, and energy intensity exerted an inhibitory effect on the ecological pressure of the carbon footprint. This paper proposes mitigation measures for optimizing energy structure, improving energy efficiency, developing low energy consumption, and promoting green international trade. Our results provide support for countries along the One Belt and One Road to mitigate ecological pressures resulting from their carbon footprint.

Study on Energy Consumption Prediction and Energy Management in Jilin Province Based on STIRPAT Model

2013 ◽  
Vol 281 ◽  
pp. 542-545 ◽  
Author(s):  
Zhuo Ma ◽  
Wei Liu ◽  
Lei Wang ◽  
Ping Liang Ma ◽  
Yong Xuan Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Jilin Province ◽  
Energy Structure ◽  
Stirpat Model ◽  
The Sustainable Development ◽  
Important Means ◽  
Energy Consumption Prediction ◽  
Consumption Control ◽  
Consumption Prediction

Energy consumption control and energy management are the important guarantee for the sustainable development of economy and society in China. Take Jilin province as an example, we study the methods and practice of energy consumption peak prediction, discuss the control countermeasures of energy consumption peak and study the countermeasures of energy efficiency and energy management. The study shows that, technology advances, industry restructuring and energy structure adjustments are the important means of energy management.

Analysis on China's Energy Low Carbonization under the Background of Industrialization

2013 ◽  
Vol 291-294 ◽  
pp. 1492-1497
Author(s):  
Feng Yun Wang
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Large Population ◽  
High Energy ◽  
Development Pattern ◽  
Energy Structure ◽  
Energy Supply System ◽  
Existing Problems ◽  
Countermeasures And Suggestions ◽  
High Energy Consumption

As a developing country with a large population, China is in the high energy consumption stage of industries development at present. Therefore, the primary issue that we confront is to establish the sustainable energy supply system and economic development pattern. According to the characteristic of energy consumption under the background of industrialization, the paper studies the situation of low carbonization energy consumption development and analyzes its existing problems from the industrial structure, the energy structure and energy efficiency, etc. in China. Finally, the paper puts forward the corresponding countermeasures and suggestions.

scholarly journals How Did the Changes in Industrial and Energy Structure Influence Energy Consumption in Shandong, China?

2021 ◽  
Vol 9 (1) ◽  
pp. 1-11
Author(s):  
Sheng-Wen Tseng ◽  
◽  
Yen-Yu Chen ◽  
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Driving Forces ◽  
Industrial Sector ◽  
Energy Structure ◽  
Coal Consumption ◽  
Continuous Increase ◽  
Density Reduction ◽  
New Energy ◽  
Regional Product

The Gross Regional Product (GRP) of Shandong ranks third in China, but its energy and coal consumption rank first. However, in the past studies, no effort was made to analyze the influence of Shandong energy conservation and emission reduction policies on energy consumption changes. To make up for this gap, the revised divisia index and the energy consumption structure methods were used in this study to analyze the driving force of changes in energy consumption in Shandong from 2005 to 2016. The results of this research show that: Firstly, the control of energy-intensive industries and strong energy conservation policies had become the main driving forces for energy density reduction. Secondly, the energy structure optimization policies only increased the proportion of hydro, nuclear and new energy production to replace a proportion of oil, but could not effectively reduce the consumption and proportion of coal. The continuous increase in coal consumption offset the energy conservation effect by key industries during the Twelfth Five-Year Plan period. It is clear that a reduction in the amount of coal used and an increase in the proportion of hydro, nuclear and new energy (especially in the industrial sector) is at the core of the energy problems in Shandong. Policy recommendations are proposed that are based on the findings of this study.

scholarly journals Trends and Driving Forces of Carbon Emissions from Energy Consumption: A Case Study of Nanjing, China

2018 ◽  
Vol 10 (12) ◽  
pp. 4348 ◽  
Author(s):  
Kong-Qing Li ◽  
Ran Lu ◽  
Rui-Wen Chu ◽  
Dou-Dou Ma ◽  
Li-Qun Zhu
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Driving Forces ◽  
Positive Impact ◽  
High Growth ◽  
Future Trend ◽  
Gdp Per Capita ◽  
Stirpat Model ◽  
Per Capita

Based on the scientific calculation of carbon emissions from energy consumption in Nanjing, this paper analyzed the driving forces of carbon emissions from 2000 to 2016 by using the stochastic impacts by regression on population, affluence and technology (STIRPAT) model. The results show that from 2000 to 2016, the energy carbon emissions of Nanjing were on the rise; the urbanization rate, population, GDP per capita, and energy intensity had a significant positive impact on the growth of carbon emissions in Nanjing, China. Based on this, we presented five development scenarios to analyze the future trend of carbon emissions of the city. By contrast, the growth rate of carbon emissions from energy consumption is the slowest when the population maintains a low growth rate and the GDP per capita and technical level maintain high growth. This indicates a better urban development strategy in which industrial restructuring must be associated with talent structure adjustment to decarbonize the urban economy, and the extensive urban sprawl development approach might need to be changed.

scholarly journals Driving forces for fuelwood use in households in the Thulamela municipality, South Africa

2017 ◽  
Vol 28 (1) ◽  
pp. 25 ◽  
Author(s):  
Solomon Eghosa Uhunamure ◽  
Nthaduleni Samuel Nethengwe ◽  
Agnes Musyoki
Keyword(s):  
South Africa ◽  
Energy Consumption ◽  
Rural Areas ◽  
Driving Forces ◽  
Human Life ◽  
Rural Households ◽  
Chi Square ◽  
Household Energy ◽  
Household Energy Consumption ◽  
Energy Preference

AbstractEnergy is a fundamental requirement to sustain human life, but most people in rural areas do not have enough access to efficient and affordable energy resources. Socio-economic measures are increasingly used to determine household energy consumption patterns. The pattern of household energy consumption represents the status of welfare as well as the stage of a country’s economic development. Household energy consumption is expected to increase in the future, along with growth in the economy and a rise in per capita incomes. This study was undertaken to understand the driving forces for energy preference in rural households, while reassessing the energy ladder and multiple fuel use. Two hundred questionnaires were administered to elicit information from respondents in Altein, Botsoleni, Makhovha and Thenzheni in the Thulamela municipality of South Africa. A non-parametric test (Chi-square) was used to determine the relationships amongst the factors influencing the use of fuelwood in the study area. Cramer’s V was used to test the association of the variables, the strength and the direction of the relationship. The results indicate that household income, educational level and employment status, cultural norms and values, are among the key determinants of the energy preference scale.Keywords: rural households; energy consumption; energy ladder; energy preference

scholarly journals Characteristics and Influencing Factors of Energy Consumption in Chinese Rural Households

2021 ◽  
Author(s):  
Xiaowei Ma ◽  
Dandan Liu ◽  
Danni Chen ◽  
Mei Wang ◽  
Chuandong Li
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Influencing Factors ◽  
Rural Areas ◽  
Structural Characteristics ◽  
Eastern China ◽  
Rural Households ◽  
Family Characteristics ◽  
Energy Structure ◽  
Rural Energy

Abstract The sustainable development of China's economy has brought about a large increase in energy consumption of residents, especially in rural areas. Nowadays, the per capita energy consumption in rural areas has exceeded the urban residents. Therefore, it is of great significance to pay attention to the energy consumption of rural households in order to realize the harmonious development of energy and economy in China. Based on the survey data of rural households in central and eastern China, this paper uses the method of CLAD estimation of Tobit model to study the influencing factors and structural characteristics of rural households' energy consumption, so as to analyze how to deal with the rapid growth of rural energy consumption and optimize the rural energy structure. The results show that the energy structure of rural households is unreasonable, rural families are using more traditional and inferior cooking heating energy, and there are some differences in different regions; Family characteristics, family wealth and energy conservation initiative have an impact on total energy consumption and different types of energy. Increasing income, education level, electrical appliances quantity and energy conservation initiative are conducive to optimizing the energy structure of the family and promoting the transformation of energy structure.

scholarly journals Research on the Status Quo and Existing Problems of Rural Energy Development in China

2021 ◽  
Vol 251 ◽  
pp. 01007
Author(s):  
Wang Ning ◽  
Li Zhao
Keyword(s):  
Energy Consumption ◽  
Rural Areas ◽  
Rural Economy ◽  
Service Management ◽  
The United States ◽  
Energy Development ◽  
Green Energy ◽  
Energy Structure ◽  
Rural Energy ◽  
New Energy

Over more than forty years of deepening reform and opening up, China has become the second largest world economy after the United States. As a component of energy system in China, rural energy is becoming more and more important. With the development of rural economy in China, the efforts of energy conservation and emission reduction have been continuously strengthened and expanded in China. Sustained, safe, and green energy supply is the material basis for the sustainable development of rural economy in China, and it is also a prerequisite for improving the quality of life of rural residents in China. Given living habits and income levels, energy consumption in rural areas in China is still dominated by traditional energy sources such as coal and firewood. There is little use and consumption of new energy. Rural energy is gradually declining for the investment in special funds for rural energy projects is not enough. New energy technology research and development are lagging. At the same time, rural areas have low using efficiency but high demand of energy, which leads more contradictions. In order to meet the needs of farmers for energy production and increase their income, it is necessary to study the countermeasures of rural energy development, which becomes an important part of the construction of a new socialist countryside. Based on the analysis of rural energy developing status and rural energy consumption structure in China, this article pointed out the problems including unreasonable energy structure, insufficient supply, the contradiction between supply and demand, and the lagging construction of follow-up service management system, and uncompleted energy support policies and imperfect incentive measures. We also put forward corresponding countermeasures and suggestions.

scholarly journals Dynamic Decomposition Analysis and Forecasting of Energy Consumption in Shanxi Province Based on VAR and GM (1, 1) Models

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Herui Cui ◽  
Ruirui Wu ◽  
Tian Zhao
Keyword(s):  
Energy Consumption ◽  
Decomposition Analysis ◽  
Coal Industry ◽  
Shanxi Province ◽  
Response Analysis ◽  
Energy Structure ◽  
Low Carbon ◽  
Stirpat Model ◽  
Urbanization Level ◽  
Green Development

Environmental issues caused by energy consumption have attracted increasing attention recently. Shanxi Province, a typical energy-dominated region in China, has long-term dependency on coal industry generating extensive economic growth, which is detrimental to green development. Distinguished from previous studies ignoring driving factors of energy consumption, this paper establishes a vector autoregression (VAR) model to dynamically identify the drivers of energy consumption based on STIRPAT model in Shanxi Province from 1990 to 2015. It can be obtained from the impulse response analysis that a positive shock in population, GDP, and urbanization level, respectively, positively affect energy consumption, and a positive change in technology negatively affects energy consumption in the long run. The variance decomposition results indicate that fluctuation in energy consumption explained by the innovation of the urbanization level accounts for 23.18%, which plays a prevailing role in increasing energy consumption. Meanwhile, the forecasting results of GM (1,1) model manifest that energy consumption in Shanxi Province generally has an increasing trend from 2016 to 2025. Consequently, Shanxi can achieve green development through optimizing energy structure, promoting the transformation of resource-based cities, and promoting low-carbon technological innovation. This paper can be available for other resource-based regions analogous to Shanxi.

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