Article
Green & Sustainable Science & Technology
Min Yan, Hui Sun, Kuiying Gu
Summary: This research analyzes the drivers and key paths for carbon emissions reduction in Xinjiang by studying energy consumption. The study reveals that economic-scale effect and energy-intensity effect are the main factors influencing carbon emissions, while industries involved in electricity and heat production are crucial for carbon emissions reduction.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Qiuping Li, Sanmang Wu, Yalin Lei, Shantong Li, Li Li
Summary: This study investigates the main paths and factors affecting CO2 emissions in China from 2002 to 2017, revealing an increase in emissions with a gradual slowdown. The non-metallic mineral industry, electricity industry, and metal products industry are identified as key influencing paths. CO2 emission intensity, per capita demand, and intermediate product structure are found to be major driving factors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Energy & Fuels
XuGuang Wang, Liang Yan
Summary: The study shows that China has achieved a decoupling between economic development and CO2 emissions to some extent, but the decoupling status is weak in most of the study years. Economic growth is found to be the main driving force for the increase in CO2 emissions, while energy intensity reduction is the primary factor in reducing CO2 emissions.
Article
Agriculture, Multidisciplinary
Dai Xiao-wen, Zhanli Sun, Daniel Mueller
Summary: Livestock cultivation, particularly pork production, in China contributes significantly to global greenhouse gas emissions. Factors such as structural adjustment in agriculture, growing affluence, and population growth have led to an increase in emissions, while technological progress and changes in animal husbandry practices have mitigated them. Further technological improvements and economic optimizations are crucial for reducing emissions in China's pig industry.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2021)
Article
Construction & Building Technology
Qinfeng Zhao, Weijun Gao, Yuan Su, Tian Wang
Summary: China has set targets to reach carbon peak by 2030 and achieve carbon neutrality by 2060. It is crucial to reduce carbon emissions from the construction industry (CECI) as it contributes 30% of the total emissions. This study focuses on the building materialization process at the city-scale and establishes a framework to analyze carbon emissions trajectory. The results show that direct CECI accounts for 3.3% of total CECI, while a significant portion of emissions come from indirect CECI, such as secondary energy and embodied carbon. The study also identifies construction scale and demand structure as key drivers of CECI growth.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Environmental Sciences
Hongjun Guan, Yuhuan Chen, Aiwu Zhao
Summary: This study analyzes the carbon emissions, carbon sinks, and net carbon emissions of the marine fishing industry in China and coastal provinces from 2010 to 2019, and decomposes the driving factors of net carbon emissions. The research finds that the marine fishing industry is partially carbon-neutral, but the net carbon emissions have increased since 2016. The trends in carbon emissions, carbon sinks, and net carbon emissions in coastal provinces generally align with the national trends, but there are differences between regions.
Article
Environmental Sciences
Xiaomin Guo, Chuanglin Fang
Summary: The construction industry is identified as one of the major contributors to carbon emissions in China, and understanding its carbon emissions is significant for carbon reduction efforts. This study reveals an increasing trend in carbon emissions from the construction industry, with indirect emissions accounting for a majority of the total. The study also highlights widening regional disparities in carbon emissions and identifies key factors influencing carbon emissions from the industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Studies
Jindao Chen, Qian Shi, Wei Zhang
Summary: This study examines the structural paths and sensitivity of construction CO2 emissions in China, India, Japan, Russia, and the USA in 2015. It reveals that the construction industry's CO2 emissions in these regions are significantly influenced by domestic electricity, gas and water industry, petroleum, chemical, and non-metallic mineral products industry, construction industry, and transport industry. The study suggests that policymakers should focus on reducing emissions in the producing and domestic electricity industries to effectively mitigate construction CO2 emissions.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Environmental Sciences
Tangyang Jiang, Shuangqi Li, Yang Yu, Yufang Peng
Summary: This paper studies the carbon emissions and emissions reduction of China's construction industry from 2007 to 2017 using input-output analysis method, energy consumption method, and structural decomposition model. The results show that optimizing energy consumption structure, energy intensity effect, and input structure effect have a significant impact on reducing carbon emissions from the construction industry. However, the final demand effect has a positive effect on carbon emission growth.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Shenghua Yan, Weigong Chen
Summary: This study analyzes the decoupling state of China's construction industry and finds a positive correlation between economic development level and CO2 emissions. Beijing and Jiangsu achieve a strong decoupling state, while Heilongjiang has the worst decoupling state. Economic output plays a critical role in promoting CO2 emissions and decoupling, with indirect carbon intensity being the main driver.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Manzhi Liu, Jinfeng Wang, Jixin Wen, Gang He, Jixin Wu, Huayang Chen, Xiaotao Yang
Summary: China's transport industry has become a focal point for energy conservation and emission reduction due to its significant carbon dioxide emissions. This study used the input-output method and structure decomposition method to analyze the industry's carbon dioxide emissions. The results highlighted the importance of focusing on road transport activity, consumption expenditure, other heavy industries, and energy structure and intensity adjustment to control carbon emissions in the transport industry.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Environmental Sciences
Haonan Zhang, Xingping Zhang, Jiahai Yuan
Summary: China, the largest carbon dioxide emitter in the world, has made great efforts to retard carbon emission growth over the past decades. Economic growth was the major contributing factor to provincial carbon emissions increase during 2007-2012, while energy intensity effect replaced it during 2012-2017. Upgrading industrial structure and expanding renewable energy can help mitigate provincial carbon growth, with the power sector continuing to contribute to national decarbonization.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Tao Ding, Yufei Huang, Weijun He, Delin Zhuang
Summary: Recently, there has been increasing attention on exploring the driving factors behind carbon emission changes in China. A new approach combining extended production-theoretical decomposition analysis and index decomposition analysis is proposed to address spatial and temporal heterogeneities. The study found that economic activity plays a dominant role in increasing carbon emissions, while a temporal catch-up effect helps decrease emissions in most provinces.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Tae-Jin Kim, Nikolas Tromp
Summary: This study uses multi-regional input-output analysis to investigate CO2 emissions and value-added in China-Brazil trade, finding significant increases in both between 2000 and 2014. China and Brazil saw rises in CO2 emissions and value-added exports, with China leading in electronics and Brazil in agriculture and mining in terms of net carbon intensities. Structural decomposition analysis revealed changing consumption patterns and export structures as key sources of increasing CO2 emissions.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Jinghan Yu, Yang Yu, Tangyang Jiang
Summary: Existing literature primarily focuses on the carbon emissions of high-energy industries, paying little attention to relatively low-carbon industries like the service industry. However, with the service sector accounting for over half of China's national economy, its carbon emissions are becoming increasingly significant. This study examines the structural factors influencing energy carbon emissions in China's service industry using the structural decomposition model, input-output analysis method, and energy consumption method. The findings indicate that despite some alleviation, there is still significant pressure to reduce energy carbon emissions in the service industry in the future, as the proportion of high-carbon energy remains high and the energy consumption structure is not significantly optimized. The study also highlights the need for multiple approaches to effectively control energy carbon emissions in the service industry and identifies the input structure effect, energy structure effect, and final demand effect as drivers of its emissions growth.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Liyin Shen, Yingli Lou, Yali Huang, Jindao Chen
Review
Environmental Sciences
Jianguo Chen, Yangyue Su, Hongyun Si, Jindao Chen
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2018)
Article
Construction & Building Technology
Jindao Chen, Qian Shi, Liyin Shen, Yao Huang, Ya Wu
SUSTAINABLE CITIES AND SOCIETY
(2019)
Article
Green & Sustainable Science & Technology
Jindao Chen, Liyin Shen, Qian Shi, Jingke Hong, J. Jorge Ochoa
JOURNAL OF CLEANER PRODUCTION
(2019)
Editorial Material
Environmental Sciences
Jianguo Chen, Yangyue Su, Hongyun Si, Jindao Chen
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Review
Construction & Building Technology
Yao Huang, Qian Shi, Jian Zuo, Feniosky Pena-Mora, Jindao Chen
Summary: The construction industry is grappling with a data tsunami, with potential for effective processing through emerging IT. A review of current literature reveals trends in IT application across construction project management phases, technology, and research topics. Specific proposals are discussed in relation to each main topic within CPM, with future agendas proposed to bridge gaps between theoretical research and practical demands.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Energy & Fuels
Jianmin You, Xiqiang Chen, Jindao Chen
Summary: This study proposed an improved analytical model to analyze the industrial electricity efficiency and electricity-saving potential of SEZs in Guizhou Province, China, based on 4-year survey data. Results showed that the energy efficiency of SEZs is related to the richness of energy resources and ecological environment in the region.
Article
Environmental Studies
Jindao Chen, Qian Shi, Wei Zhang
Summary: This study examines the structural paths and sensitivity of construction CO2 emissions in China, India, Japan, Russia, and the USA in 2015. It reveals that the construction industry's CO2 emissions in these regions are significantly influenced by domestic electricity, gas and water industry, petroleum, chemical, and non-metallic mineral products industry, construction industry, and transport industry. The study suggests that policymakers should focus on reducing emissions in the producing and domestic electricity industries to effectively mitigate construction CO2 emissions.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Development Studies
Jindao Chen, Xiangnan Song, Jianmin You
Summary: This study examines the changes in construction CO2 emissions in China from 2002 to 2017 and identifies the critical paths contributing to emission increases. The results show that the final demand effect has the largest contribution, followed by the production structure effect and energy intensity effect.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2023)
Article
Energy & Fuels
Shengping Li, Qian Xu, Junli Liu, Liyin Shen, Jindao Chen
Summary: China has promised to peak its carbon emissions by 2030 and achieve national carbon neutrality by 2060. The low-carbon pilot (LCP) program has been implemented since 2010 to achieve the carbon reduction goal. This study analyzes the evolution of carbon footprint and investigates the impact factors in representative LCP provinces, developing a systemic experience learning approach. The results show the effectiveness of the LCP program and provide effective pathways towards carbon neutrality.
ENERGY STRATEGY REVIEWS
(2022)
Article
Environmental Studies
Mengcheng Zhu, Zebin Zhao, Yan Meng, Jindao Chen, Zun Yu, Conghui Meng
Summary: The mismatch between carbon transfer and economic benefits in inter-provincial trade in China has led to carbon inequality among provinces. This study uses network analysis and multi-regional input-output analysis to examine the unbalanced relationship between carbon transfer and value-added flow in inter-provincial trade from 2012 to 2017. The findings reveal a significant increase in carbon inequality during this period, with environmental regulation and economic development levels as the main factors. The study highlights the need for collective governance of carbon reduction and provides guidance for the development of equitable and sustainable policies.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2022)
Article
Multidisciplinary Sciences
Xu Peng, Hong Chen, Honglin Zhong, Ruyin Long, Chao Zhang, Dandan Zhao, Guangfei Yang, Jingke Hong, Cuncun Duan, Xinxian Qi, Pengbang Wei, Pengfei Zhang, Jindao Chen
Summary: The electricity sector in China is the biggest contributor to CO2 emissions and water consumption in industrial sectors. The transition to low-carbon in China's electricity sector has led to a reduction in cooling water usage. Using a Quasi-Input-Output model, this study quantifies CO2 emissions and virtual water embodied in electricity trade. Results show that the low-carbon transition has contributed to water-saving in China's electricity sector.
Article
Environmental Sciences
Xu Peng, Hong Chen, Ruyin Long, Honglin Zhong, Chao Zhang, Guangfei Yang, Jingke Hong, Xinxian Qi, Qingqing Sun, Wanqi Ma, Saige Wang, Cuncun Duan, Pengbang Wei, Yufang Peng, Jindao Chen
Summary: There are unequal spatial distribution and diverse differences in China's resource endowment, population density, industrial structure, and economic development. This study examines the determinants of embodied CO2 transfers through electricity trade within China using absolute and comparative advantage theories. The findings show that large-scale electricity trade helps alleviate electricity shortage, reduce unequal distribution of coal and natural gas reserves, and change CO2 flow in the power grid. The opportunity cost of labor productivity in the non-electricity sector plays a dominant role in the embodied CO2 transfers, while asset efficiency and energy productivity are not significant.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Development Studies
Jindao Chen, Yuhong Wang, Qian Shi, Xu Peng, Juhuan Zheng
Summary: Global warming is a serious issue faced by humans with the construction industry playing a significant role in combating it. A study comparing CO2 emissions in the construction industry worldwide in 2009 showed that China, India, the USA, Russia, and Japan were the largest emitters. The differences in emission intensities between regions were mainly driven by production structure effect and energy intensity effect.
SUSTAINABLE DEVELOPMENT
(2021)
Article
Environmental Studies
Ya Wu, K. W. Chau, Weisheng Lu, Liyin Shen, Chenyang Shuai, Jindao Chen
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2018)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
