scholarly journals Spatial–Temporal Heterogeneity and Driving Factors of Rural Residents’ Food Consumption Carbon Emissions in China—Based on an ESDA-GWR Model

2021 ◽  
Vol 13 (22) ◽  
pp. 12419
Author(s):  
Shuai Qin ◽  
Hong Chen ◽  
Haokun Wang
Keyword(s):  
Spatial Heterogeneity ◽  
Influencing Factors ◽  
Food Consumption ◽  
Carbon Emissions ◽  
Regression Coefficient ◽  
Social Factor ◽  
Central Area ◽  
Low Carbon ◽  
Rural Residents ◽  
Gwr Model

The increase in income among Chinese residents has been accompanied by dramatic changes in dietary structure, promoting a growth in carbon emissions. Therefore, in the context of building a beautiful countryside, it is of great significance to study the carbon emissions of rural residents’ food consumption to realize the goal of low-carbon food consumption. In this paper, the calculation of food consumption carbon emissions of Chinese rural residents is based on the carbon conversion coefficient method, and the spatial heterogeneity of influencing factors is analyzed with the aid of the ESDA-GWR model. The results indicate that the per capita food consumption carbon emissions of rural residents have increased by 1.68% annually, reaching 336.73 kg CO2-eq in 2020, which is 1.32 times that of 2002. Carbon emissions generated from rural residents’ food consumption have significant spatial agglomeration characteristics, showing the spatial distribution characteristics of a north–south confrontation, with a central area collapse. The influencing factors of food consumption carbon emissions have significant spatial heterogeneity, among which, as the main force to restrain the growth of food consumption carbon emissions, the price factor has a regression coefficient between −0.1 and −0.3, and its influence has weakened from northwest to southeast in 2020. The education–social factor is the main driving force for the growth of food consumption carbon emissions, with a regression coefficient between 0.58 and 0.99, and its influence has increased from east to west. In the future, formulating food consumption optimization policies should be based on the actual situation of food consumption carbon emissions in various regions to promote the realization of low-carbon food consumption.

Influencing Factors Analysis of Carbon Dioxide Emissions of Liaoning Power Consumption Based on Kaya Model

2013 ◽  
Vol 779-780 ◽  
pp. 1476-1481 ◽  
Author(s):  
Chang He Jiang ◽  
Wen Ru Zang ◽  
Lei Lei Hu
Keyword(s):  
Carbon Dioxide ◽  
Power Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Liaoning Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Reduction ◽  
Industry Investment

In order to achieve the carbon reduction targets committed by China, Liaoning Province must take the way of low-carbon economy. Based on the related Statistical Yearbook data, applying the IPCC carbon emissions equation and Kaya model, this paper analyses the influencing factors of the carbon dioxide emissions produced from the power consumption of Liaoning Province. and then put forward some suggestion on reducing carbon emissions. The results show that Liaoning Province can achieve the goal, but unit GDP CO2 emissions reduction is mainly due tothe investment expansion of the second industry and construction industry investment expansion. As a result, it puts forward some suggestions.

Carbon emissions management in construction operations: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Verona Ramas Joseph ◽  
Nur Kamaliah Mustaffa
Keyword(s):  
Systematic Review ◽  
Construction Industry ◽  
Carbon Emissions ◽  
Construction Projects ◽  
Social Factor ◽  
Low Carbon ◽  
Construction Operations ◽  
Content Type ◽  
Sustainable Solutions ◽  
The Usa

PurposeThe demand to reduce carbon emissions has become an increasingly important social factor due to the unprecedented impacts of climate change. However, most existing publications have focused on minimizing emissions during the operational phase of buildings. At the same time, there is a lack of comprehensive research conducted on carbon emissions, specifically during the construction phase. The purpose of this paper is to identify, review and classify current practices related to carbon emissions management in construction operations to gain greater insight into how to reduce and mitigate emissions and achieve more sustainable solutions.Design/methodology/approachThis study reviewed the published literature on carbon emissions from construction. A total of 198 bibliographic records were extracted from the Scopus collection database and analyzed using Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA). PRISMA is used as a basis for reporting possible trends, research methods and strategies used in published literatures. A total of 99 papers related to carbon emissions in the construction operations were further reviewed and analyzed. This review paper draws on existing research and identifies current carbon management patterns in construction projects.FindingsData indicated an upward trend in the number of publications in carbon emissions research during the last few years, particularly in 2015, 2017 and 2019. The most significant contributions to the domain were reported from China, Europe and the USA. This paper found that most studies conduct the Life Cycle Assessment (LCA) method to estimate carbon emissions. This paper found that the primary studies have focused on construction machinery and equipment emissions. The strategies such as establishing uniform standards for carbon emissions policies and regulations, equipment and logistic planning and low carbon design material will potentially impact carbon emissions reductions.Practical implicationsThis paper provides information that will be beneficial for the construction industry to design and manage construction operations. It will also be of interest to those looking to reduce or manage construction emissions.Originality/valueAlthough there is a diversity of current thinking related to the practical estimation and management of carbon emissions in construction projects, there is no consolidated set of keys of standardized carbon emissions management in practice. By assessing the existing paradigms of carbon assessment methods and tactics in the construction industry, this study contributed to the existing knowledge base by providing insights into current techniques in the construction sector for monitoring and mitigating emissions.

scholarly journals Assessing the Carbon Emission Driven by the Consumption of Carbohydrate-Rich Foods: The Case of China

2019 ◽  
Vol 11 (7) ◽  
pp. 1875
Author(s):  
Xiaoke Yang ◽  
Zhihang Zhang ◽  
Huangyixin Chen ◽  
Rongrong Zhao ◽  
Zhongyue Xu ◽  
...  
Keyword(s):  
Food Consumption ◽  
Carbon Emissions ◽  
Clustering Algorithms ◽  
Climate Impact ◽  
Total Carbon ◽  
Low Carbon ◽  
Health Goals ◽  
Structural Differences ◽  
Annual Total ◽  
Average Current

Background: Carbohydrate-rich (CR) foods are essential parts of the Chinese diet. However, CR foods are often given less attention than animal-based foods. The objectives of this study were to analyze the carbon emissions caused by CR foods and to generate sustainable diets with low climate impact and adequate nutrients. Methods: Twelve common CR food consumption records from 4857 individuals were analyzed using K-means clustering algorithms. Furthermore, linear programming was used to generate optimized diets. Results: Total carbon emissions by CR foods was 683.38g CO2eq per day per capita, accounting for an annual total of 341.9Mt CO2eq. All individuals were ultimately divided into eight clusters, and none of the popular clusters were low carbon or nutrient sufficient. Optimized diets could reduce about 40% of carbon emissions compared to the average current diet. However, significant structural differences exist between the current diet and optimized diets. Conclusions: To reduce carbon emissions from the food chain, CR foods should be a research focus. Current Chinese diets need a big change to achieve positive environmental and health goals. The reduction of rice and wheat-based foods and an increase of bean foods were the focus of structural dietary change in CR food consumption.

scholarly journals Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP

2019 ◽  
Vol 11 (17) ◽  
pp. 4540 ◽  
Author(s):  
Haiyan Duan ◽  
Shipei Zhang ◽  
Siying Duan ◽  
Weicheng Zhang ◽  
Zhiyuan Duan ◽  
...  
Keyword(s):  
Energy Saving ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Residential Buildings ◽  
Planning System ◽  
Low Carbon ◽  
Heating Period ◽  
Cold Region ◽  
Central Heating ◽  
A Value

The building sector has gradually become a major contributor of carbon emissions in recent years. Its carbon emissions, which result from the long heating period and considerable consumption of coal in residential buildings during operation, must be reduced. To this end, the long-range energy alternatives planning system was adopted for the forecasting of carbon emissions in baseline scenarios, energy-saving, energy-saving–low-carbon, and low-carbon. On the basis of these predictions, the contributions of heating, cooling, cooking, illumination, washing, and other activities to carbon emissions were analyzed. The influencing factors in the reduction of carbon emissions from residential buildings in a cold region were identified. The results showed that energy-saving–low-carbon was the optimal scenario to reduce carbon emissions. Meanwhile, carbon emissions will peak in 2030, with a value of 42.06 Mt under the same scenario. As the top three influencing factors, heating, cooling, and cooking contribute 55.74%, 18.86%, and 17.29% of carbon emissions, respectively. Sensitivity results showed the differential effects of 32 factors on the reduction of carbon emissions in residential buildings. Carbon emissions could be reduced by 17.41%, 35.51%, 31.10%, and 14.10% by controlling the building scale, heating, cooling, and cooking, respectively. To this end, seven factors, including the rationing of central heating, were identified. Then, pathways to reducing carbon emissions were proposed under different scenarios. The present research fills the gap between reality and the predicted pathway, considering the heterogeneity of the climate.

The Study on Carbon Emission Influencing Factors of Industrial Energy Consumption of Changchun City

2012 ◽  
Vol 164 ◽  
pp. 302-305
Author(s):  
Zhuo Ma ◽  
Xiao Gang He ◽  
Xun Zhou Tong ◽  
Hai Yan Duan ◽  
Xian En Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Industrial Development ◽  
Carbon Emission ◽  
Low Carbon ◽  
Industrial Energy ◽  
Emission Changes ◽  
Major Factors ◽  
Industrial Energy Consumption

To make great efforts for energy saving and promote low-carbon transition of industrial development pattern have been the most crucial tasks for Changchun industrial developmen. Using Logarithmic Mean Divisia Index (LMDI) mode decomposes the carbon emission influencing factors of the industrial department in Changchun, and study on the effects of factors on the carbon emissions of industrial energy consumption. The result shows that the major factors for carbon emissions of industrial energy consumption in Changchun are economic development, the population size and the industrialization rate, and the key factors for the carbon emission changes in industrial department of Changchun are the energy consumption structure and the energy intensity.

The True Impacts of and Influencing Factors Relating to Carbon Emissions Rights Trading: A Comprehensive Literature Review

2018 ◽  
Vol 06 (03) ◽  
pp. 1850016
Author(s):  
Dan SHI ◽  
Cheng ZHANG ◽  
Bo ZHOU ◽  
Lu YANG
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Tax ◽  
Pilot Project ◽  
Low Carbon ◽  
Carbon Emissions Trading ◽  
Carbon Reduction ◽  
Healthy Development ◽  
Tax Levies ◽  
History Of

As an emissions abatement mechanism focusing on property rights theory and market trading methods, carbon emissions rights trading plays an important role in achieving low-carbon economic development, which has already garnered broad worldwide recognition. In the aftermath of the implementation of an initial, seven-province/city, carbon emissions rights trading pilot project, in 2017 China launched a carbon emissions trading rights market on a national basis. The authors of this paper provide a theoretical basis for research into this trading market’s impacts on energy conservation, reduction of emissions, and on economically sustaining, healthy development, from the following four perspectives: the history of the market’s development, a comparison of carbon reduction mechanisms associated with differing carbon tax levies, the effects of carbon emissions rights trading’s implementation, and the influencing factors on such trading. They systematically summarize, sort out, and evaluate the most recent, related carbon emissions rights trading literature, and then based on this analysis offer up insights regarding possible developments and refinements of future carbon emissions rights trading research.

On Carbon Emissions Measure and its Influencing Factors of Yunnan Province: 1998-2008

2011 ◽  
Vol 99-100 ◽  
pp. 539-545
Author(s):  
Ya Zhang ◽  
You Liang Mao
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Yunnan Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Emission Intensity ◽  
Administrative Area ◽  
Executive Agencies

Coming up with the idea of low-carbon economy, numerous studies both at home and abroad on carbon emissions have emerged, nonetheless of which seldom are studies aiming at specific executive agencies and supervisory authorities of government development plan at provincial administrative area level. This paper, by using calculation formulas in carbon emission calculation guide of IPCC and carbon emission coefficient default value, measured the carbon emissions of Yunnan Province during 1998 and 2008 and analyzed relative influencing factors. The study shows economic growth and industrial restructuring increase the carbon emission intensity which is not remarkably affected by energy restructuring. The key to decrease carbon emission intensity is enhancing energy efficiency.

scholarly journals China’s carbon emissions structure and reduction potential on the supply-side and demand-side of energy: Under the background of four influencing factors

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255387
Author(s):  
Xinwen Wan ◽  
Tangyang Jiang ◽  
Shuangqi Li ◽  
Jun Nie
Keyword(s):  
Total Energy ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Final Demand ◽  
Supply Side ◽  
Baseline Scenario ◽  
Policy Recommendations ◽  
Demand Side ◽  
Low Carbon ◽  
High Carbon

In recent years, the issues related to carbon emissions and environment have attracted extensive attentions. Considering four scenarios (the energy conversion, energy capital savings and loans, energy exports and cement production carbon emissions), this paper adopts the energy consumption method and input-output method to analyze China’s carbon emissions structure on the supply-side and demand-side of energy, and finally provides policy recommendations for China’s structural emission reduction. The results show that, if the four influencing factors were not considered, the measurement of carbon emissions from the final demand was 44.91% higher than the baseline scenario, 12.36% lower than the baseline scenario from intermediate demand, and 10.23% lower than the baseline scenario from the total. For China’s carbon emissions structure on the supply-side of energy, the carbon emissions from high-carbon energy, represented by raw coal, accounted for 66.805% of the total energy-related carbon emissions, while the carbon emissions from low-carbon energy, represented by natural gas, only accounted for 2.485%. For China’s carbon emissions structure on the demand-side of energy, the carbon emissions from intermediate demand (enterprise production) accounted for more than 95% of total energy-related carbon emissions, while the carbon emissions from final demand (residents and government use) accounted for less than 5%. For each specific industry in intermediate demand for energy, the heavy industry, electric power, fossil energy, and chemical industry have high carbon emissions and low carbon emissions efficiency. However, the agriculture, construction, light industry, and service are the opposite. Finally, we provide policy recommendations for improving the accuracy of carbon emissions measurement and carbon emissions efficiency.

scholarly journals Temporal and Spatial Evolution of Carbon Emissions and Their Influencing Factors for Tourist Attractions at Heritage Tourist Destinations

2019 ◽  
Vol 11 (21) ◽  
pp. 5944 ◽  
Author(s):  
Chengcai Tang ◽  
Ziwei Wan ◽  
Pin Ng ◽  
Xiangyi Dai ◽  
Qiuxiang Sheng ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Carbon Emissions ◽  
Sustainable Tourism ◽  
Spatial Evolution ◽  
Low Carbon ◽  
Tourist Attractions ◽  
Heritage Sites ◽  
Tourist Destinations ◽  
Temporal And Spatial ◽  
Tourism Attractions

Carbon emissions play an important role in sustainable tourism development at heritage sites. The study takes the Wulingyuan Scenic and Historic Interest Area (WSHIA) as an example, and primary and secondary data sources are used to measure and estimate the carbon emissions of tourist attractions from 1979 to 2014. The temporal and spatial evolution of carbon emissions and their influencing factors for tourist attractions at heritage tourist destinations are analyzed. The results show that there are great differences in carbon emissions per visitor across the different types of tourism attractions at the heritage tourist destination, and there are significant monthly and interannual differences in the carbon emissions of the tourism attractions in the WSHIA. The main influencing factors include tourism seasonality, the rapid growth of China’s tourism market, and the rising popularity of heritage tourism. The spatial evolution of carbon emissions of the tourist attractions can be divided into three stages, and its main influencing factors include functional zoning and environmental regulation at the heritage sites and diversified evolution of the heritage tourist attractions. The findings of this study could enrich theories of low-carbon tourism and provide the low-carbon development measures of sustainable tourism in heritage tourist destinations for policymakers.

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