scholarly journals Analysis of Driving Forces of Energy Consumption in Rural Areas of China’s Henan Province Based on the STIRPAT Model and Ridge Regression

2020 ◽  
Vol 29 (2) ◽  
pp. 1391-1398
Author(s):  
Chunzheng Tian ◽  
Peng Li ◽  
Hengyang Shao ◽  
Meng Li ◽  
Yongle Zheng
Keyword(s):  
Energy Consumption ◽  
Ridge Regression ◽  
Rural Areas ◽  
Driving Forces ◽  
Henan Province ◽  
Stirpat Model

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 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

The Enclosure Structure Energy Saving Technology Research of Rural House in Southern Henan Province

2014 ◽  
Vol 1079-1080 ◽  
pp. 528-534
Author(s):  
Yun Zhi Tian ◽  
Ke Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Rural Areas ◽  
Decisive Role ◽  
Henan Province ◽  
Residential Construction ◽  
Technology Research ◽  
Energy Saving Technology ◽  
Heat Preservation ◽  
Rural Construction

Withthe acceleration of the new rural construction, meanwhile, the problem ofbuilding energy consumption is increasingly protruding. As the most importantpart of rural residential construction of retaining structures and its thermalwill play a decisive role on heat preservation andheat insulation of the residence. Therefore, it is imperative to study ruralresidential technology retaining structure in southern Henan province, which toimprove energy consumption structure in rural areas and to improve the ruralresidential energy-saving.

scholarly journals Examining the Driving Factors of the Direct Carbon Emissions of Households in the Ebinur Lake Basin Using the Extended STIRPAT Model

2021 ◽  
Vol 13 (3) ◽  
pp. 1339
Author(s):  
Ziyuan Chai ◽  
Zibibula Simayi ◽  
Zhihan Yang ◽  
Shengtian Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Driving Factors ◽  
Series Data ◽  
Lake Basin ◽  
Stirpat Model ◽  
Consumption Structure ◽  
Ebinur Lake ◽  
Ebinur Lake Basin

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

scholarly journals A Decomposition Analysis of the Korean Manufacturing Sector: Monetary vs. Physical Outputs

2021 ◽  
Vol 13 (11) ◽  
pp. 6192
Author(s):  
Junghwan Lee ◽  
Jinsoo Kim
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Driving Forces ◽  
Manufacturing Sector ◽  
Decomposition Analysis ◽  
Primary Energy ◽  
Intensity Effect ◽  
Activity Effect ◽  
Index Decomposition ◽  
Output Indicator

This study analyzes the changes in energy consumption of the Korean manufacturing sector using the index decomposition analysis (IDA) method. To capture the production effect based on actual physical activities, we applied the activity revaluation (AR) approach in the analysis. We also developed energy consumption data in terms of primary energy supply to consider conversion loss in the energy sector to avoid any distortions in the intensity effect. The analysis covers every manufacturing subsector in Korea over the period between 2006 and 2018. Combining two distinctive approaches from the previous literature, the AR approach and primary energy-based analysis gives us helpful findings for a climate policy. First, the overall activity effect estimated from the physical output indicator is lower than that from the monetary output indicator. The monetary indicator shows that the share of energy-intensive industries decreases, whereas the physical indicator shows the opposite. Second, in terms of energy efficiency, the intensity effect is estimated as an increasing factor of energy use, whereas inversed results are shown when we use the monetary indicator. Lastly, unlike the previous studies, the AR approach results indicate that Korean manufacturing sectors have been shifting toward an energy-intensive, so it is hard to anticipate positive intensity effects, which means decreasing energy consumption factor, for a while. These results support why analyzing the driving forces of energy consumption through the AR approach and primary energy base is highly recommended.

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.

scholarly journals Optimal Surface Aeration Control in Full-Scale Oxidation Ditches through Energy Consumption Analysis

Water ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 945 ◽  
Author(s):  
Yong Qiu ◽  
Chi Zhang ◽  
Bing Li ◽  
Ji Li ◽  
Xiaoyuan Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Rural Areas ◽  
Energy Model ◽  
Full Scale ◽  
Economic Feasibility ◽  
Model Parameters ◽  
Online Data ◽  
Improve Energy Efficiency ◽  
Aeration Control

Oxidation ditches are popularly used in rural areas and decentralized treatment facilities where energy deficiency is of concern. Aeration control technologies are well established for diffusion systems in order to improve energy efficiency, but there are still challenges in their application in oxidation ditches because surface aerators have unique characteristics with respect to oxygen transfer and energy consumption. In this paper, an integral energy model was proposed to include the energy, aeration, and fluidic effects of surface aerators, by which the energy for aeration of each aerator can be estimated using online data. Two types of rotating disks with different diameters (1800 mm and 1400 mm) were monitored in situ to estimate the model parameters. Furthermore, a feedforward–feedback loop control strategy was proposed using the concept of energy analysis and optimization. The simplified control system was implemented in a full-scale Orbal oxidation ditch, achieving an approximately 10% saving in full-process energy consumption. The cost–benefit analysis and carbon emission assessment confirmed the economic feasibility and environmental contribution of the control system. The energy model can help process designers and operators to better understand and optimally control the aeration process in oxidation ditches.

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