Factors Influencing Indirect Carbon Emission of Residential Consumption in China: A Case of Liaoning Province

Yan, Yan; An-cheng, Pan; Chun-you, WU; Gui, Shusen

doi:10.3390/su11164414

Cited by 8 publications

(6 citation statements)

References 46 publications

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“…Within cities, buildings consume 36% of energy and produce 40% of emissions [4], with electricity and natural gas being the usual forms of consumption in them [5]. Furthermore, they are responsible for the main growth in emissions [6].…”

Section: Introductionmentioning

confidence: 99%

Influence of Population Density on CO2 Emissions Eliminating the Influence of Climate

Zarco-Periñán

Zarco-Soto

2021

Atmosphere

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More than 50% of the world’s population lives in cities. Its buildings consume more than a third of the energy and generate 40% of the emissions. This makes cities in general and their buildings in particular priority points of attention for policymakers and utilities. This paper uses population density as a variable to know its influence on energy consumption and emissions produced in buildings. Furthermore, to show its effect more clearly, the influence of the climate was eliminated. The usual energy consumption in buildings is thermal and electrical. The study was carried out at the city level, both per inhabitant and per household. The area actually occupied by the city was considered. The proposed method was applied to the case of Spanish cities with more than 50,000 inhabitants. The results show that the higher the population density, the higher the energy consumption per inhabitant and household in buildings. The consumption of thermal energy is elastic, while that of electrical energy is inelastic, varying more than 100% between extreme groups. Regarding CO2 emissions, the higher the population density, the higher the emissions. Emissions of electrical origin barely vary by 2% and are greater than those of thermal origin. In addition, the proportion of emissions of electrical origin, with respect to the total, decreases with increasing population density from 74% to 55%. This research aims to help policymakers and utilities to take the appropriate measures that favor the use of renewable energies and reduce CO2 emissions.

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Section: Introductionmentioning

confidence: 99%

Influence of Population Density on CO2 Emissions Eliminating the Influence of Climate

Zarco-Periñán

Zarco-Soto

2021

Atmosphere

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“…While those of indirect origin are a consequence of the purchase and use of products and services by consumers to satisfy their basic needs. These residential emissions are those that cause the greatest growth in direct and indirect CO 2 emissions [49]. Thus, these two types of emissions represent more than 40% of carbon emissions in China [50], while estimates for the USA reach 80% [51].…”

Section: Direct and Indirect Residential Emissionsmentioning

confidence: 99%

CO2 Emissions in Buildings: A Synopsis of Current Studies

Zarco-Periñán

Zarco-Soto

et al. 2022

Energies

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CO2 is the most emitted greenhouse gas and is mainly produced by human activity. In fact, about 75% is emitted in cities and 40% of global carbon emissions is produced by the building sector. Therefore, buildings are very important in terms of CO2 emissions. This importance is also reflected in the works that have been developed on this subject. This manuscript reviews the research that has shown or calculated the amounts of CO2 emitted in buildings. For a better understanding of the scope of the investigations, a classification is presented. With this, it is intended to help researchers interested in this area by summarizing the studies carried out to date on the amounts of CO2 emitted depending on the type of building.

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“…Some scholars indicated that the consumption of urban residents was the most significant factor leading to the increase of direct and indirect carbon emissions, and both showed a significant upward trend [34,35]. The carbon consumption of Chinese residents (rural and urban) grew steadily.…”

Section: The Impact Of Resident Consumption and Employment Structure mentioning

confidence: 99%

How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis

et al. 2021

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This study focuses on the impact of population structure changes on carbon emissions in China from 1995 to 2018. This paper constructs the multiple regression model and uses the ridge regression to analyze the relationship between population structure changes and carbon emissions from four aspects: population size, population age structure, population consumption structure, and population employment structure. The results showed that these four variables all had a significant impact on carbon emissions in China. The ridge regression analysis confirmed that the population size, population age structure, and population employment structure promoted the increase in carbon emissions, and their contribution ratios were 3.316%, 2.468%, 1.280%, respectively. However, the influence of population consumption structure (−0.667%) on carbon emissions was negative. The results showed that the population size had the greatest impact on carbon emissions, which was the main driving factor of carbon emissions in China. Chinese population will bring huge pressure on the environment and resources in the future. Therefore, based on the comprehensive analysis, implementing the one-child policy will help slow down China’s population growth, control the number of populations, optimize the population structure, so as to reduce carbon emissions. In terms of employment structure and consumption structure, we should strengthen policy guidance and market incentives, raising people’s low-carbon awareness, optimizing energy-consumption structure, improving energy efficiency, so as to effectively control China’s carbon emissions.

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Factors Influencing Indirect Carbon Emission of Residential Consumption in China: A Case of Liaoning Province

Cited by 8 publications

References 46 publications

Influence of Population Density on CO2 Emissions Eliminating the Influence of Climate

Influence of Population Density on CO2 Emissions Eliminating the Influence of Climate

CO2 Emissions in Buildings: A Synopsis of Current Studies

How Do the Population Structure Changes of China Affect Carbon Emissions? An Empirical Study Based on Ridge Regression Analysis

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