Article
Environmental Sciences
Wen Zeng, Xinchun Cao, Xuan Huang, Mengyang Wu
Summary: Quantifying crop water resource use is important for decision-making on regional food safety and resource conservation. This study estimated the crop water resource use in 31 provinces of China and analyzed its driving forces, providing suggestions for agricultural water management and conservation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Xian Zhang, Jia-Xing Wang, Zhe Cao, Shuo Shen, Shuo Meng, Jing-Li Fan
Summary: This study analyzes the factors influencing wind and solar power consumption rate in China and reveals the contributions of different factors to curtailment improvement. It emphasizes the importance of increasing the share of renewable electricity in ultra-high voltage power transmission and local consumption capacity, and highlights the need for a reasonable renewable power development plan to be formulated.
Article
Environmental Sciences
Xiaojing Zhao, Guoqu Deng, Yanling Xi
Summary: This study aimed to investigate the spatial-temporal characteristics and driving factors of disaster-induced grain yield loss, using China as a case study. The findings showed that drought and flood were the main disasters causing grain yield losses in China, with varying spatial distribution and changes over time. Therefore, addressing drought and flood disasters and enhancing disaster prevention and reduction capacity are crucial in reducing disaster-induced grain yield loss.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Energy & Fuels
Cai Li, Huanjun Hu, Liangchun Deng, Yong Liu, Zhen Wang
Summary: This paper investigates the decoupling between economic growth and energy consumption in various sectors of the Chinese economy from 1995 to 2015. It found that China experienced weak decoupling followed by strong decoupling in its sectors, with changes mainly occurring due to financial crises, international trade growth, and less energy consumption. The production effect was identified as a positive driving factor for decoupling, while the energy intensity effect played a negative role.
ENERGY STRATEGY REVIEWS
(2021)
Article
Energy & Fuels
Xi Zhang, Yong Geng, Yen Wah Tong, Harn Wei Kua, Huijuan Dong, Hengyu Pan
Summary: Low-carbon energy technology innovation contributes to both environmental protection and economic development. A study in China from 1998 to 2017 reveals that the low-carbon degree played the dominant role in promoting the increase in China's industrial LC patent applications, followed by the economic scale, R&D efficiency, and R&D share. Additionally, economic structure contributed to the increases in LC patent applications in certain regions but led to decreases in other regions.
FRONTIERS IN ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Xiaojun Deng, Yali Huang, Jing Zou, Zhangqi Zhong
Summary: Based on China's multiregional input-output (MRIO) tables from 2002 to 2015, this study quantitatively analyzes the spatial-temporal patterns and driving forces of virtual water trade (VWT) in Zhejiang province. The results show that Zhejiang transitions from a VWT supplier to a consumer in short-distance trade, with imports mainly coming from Jiangsu, Anhui, and Jiangxi, and exports focused on Shanghai. Short-distance VW exports are dominated by the secondary industry, while long-distance VW imports are dominated by the primary industry. The study also finds that GDP per capita, urbanization level, and urban population have a positive impact on VWT, while external dependence of water resources, water use efficiency, and industrial structure have a negative impact.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Biodiversity Conservation
Zuoxi Liu, Shanshan Wang, Bing Xue, Rundong Li, Yong Geng, Tianhua Yang, Yanlong Li, Huijuan Dong, Zhihong Luo, Weikun Tao, Jiaming Gu, Yongyang Wang
Summary: Sustainable crop production in China faces significant challenges, and evaluating environmental impacts by integrating scientific and practical indicators is crucial. This study utilized emergy and index decomposition analysis to assess non-point source pollution impacts and crop production performance in 31 provinces. Results showed that total nitrogen and phosphorus contents and mulching film residuals significantly affected environmental impacts, with the economy factor being the main driver of EIN growth in most provinces. This provides insights for developing appropriate crop production policies considering local conditions.
ECOLOGICAL INDICATORS
(2021)
Article
Economics
Jianda Wang, Kangyin Dong, Gal Hochman, Govinda R. Timilsina
Summary: The economywide energy intensities in the service sectors are decreasing in many countries worldwide. By using the Logarithmic Mean Divisia Index (LMDI) on annual data from 16 countries in Asia and Eastern Europe, this study identifies the drivers of the declining trends. It finds that the change in energy intensity contributes to the decrease in economywide energy intensity of service sectors in most countries, while the change in fuel mix has little contribution.
Article
Environmental Sciences
Mengmeng Hu, Wenbin Wu, Qiangyi Yu, Huajun Tang, Yanru Wen, Fen Zhao
Summary: This study quantifies the water footprints of crop production and reveals the impact of socioeconomic development differences on these footprints. The results provide important guidance for agricultural water management in Heilongjiang Province, China.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Zhuang Mufan, Gao Ziyan, Geng Yong, Li Chaohui, Rui Xue
Summary: China has a complete industrial system that leads to massive natural resource consumption. This study analyzes the utilization of natural resources in China from 2002 to 2017, finding that the additional consumption of natural resources for treating environmental pollutants is almost as significant as the consumption of natural resources itself. The majority of natural resources come from intermediate inputs. Factors such as economic scale, labor efficiency, and fixed asset investment intensity positively affect resource consumption, while factors such as final use level, fixed asset investment efficiency, and natural resource intensity negatively affect resource consumption.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Shan Yang, Shangkai Zhu, Gao Deng, Huan Li
Summary: This study investigates the influencing factors and spatial differences of carbon emissions in Hunan province. It finds that carbon emissions have decreased overall in Hunan province since 2011, but there is still an increase in emissions in some areas. Economic development is the main factor contributing to the increase in carbon emissions, while energy intensity has the strongest inhibitory effect.
Article
Green & Sustainable Science & Technology
Miaomiao Niu, Xianchun Tan, Jianxin Guo, Guohao Li, Chen Huang
Summary: The study found that China's provincial carbon productivity is increasing, but the differences among provinces are widening. Economic activity and industrial structure are key drivers of carbon productivity, while energy intensity is the main factor pulling it down. There is great variation in the potential for carbon productivity improvement among provinces, and provincial heterogeneity must be considered in green economic development policies.
Article
Environmental Sciences
Chang Gan, Kai Wang, Mihai Voda
Summary: The decoupling relationship between carbon emissions and economic development in the service sector has been observed in China. Despite the fluctuating effects of energy efficiency and energy structure, the reduction in carbon emissions in most provinces is still smaller compared to industrial scale.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Wei Li, Shuohua Zhang, Can Lu
Summary: This study analyzes the carbon emissions and low-carbon development of the iron and steel industry using different methods and establishes a model to explore the emission reduction pathways. The results show that production capacity and energy efficiency are important drivers of CO2 emissions, and the emission reduction situation is not optimistic under the BAU scenario. The optimal emission reduction pathway provides a reference for setting emission reduction targets.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Jiandong Chen, Qiaoli Xie, Muhammad Shahbaz, Malin Song, Li Li
Summary: This study reveals that bilateral trade among BRICS countries has a significant impact on fossil energy consumption. This impact is mainly reflected in trade promoting fossil energy consumption, with an increase in transportation volumes during 2000-2008 and improvements in transportation energy efficiency during 2014-2018. Trade also increases fossil energy consumption by promoting economic development.
ECONOMIC MODELLING
(2022)
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)