Article
Green & Sustainable Science & Technology
Rendao Ye, Yue Qi, Wenyan Zhu
Summary: In recent years, China has made significant progress in increasing yield through resource depletion, excessive consumption, and overexploitation. Improving agricultural environmental efficiency (AEE) is critical for achieving agricultural modernization and promoting a green transformation. Agricultural industrial agglomeration (AIA) is an effective policy to optimize resource allocation. This study analyzes panel data of 31 provinces in China from 2000 to 2020 and uses the fixed-effects stochastic frontier analysis to measure AEE. The results show that AIA has an inverted U-shaped effect on AEE in local and neighboring regions, suggesting the need for dynamic and differentiated strategies to improve AEE.
Article
Environmental Sciences
Shucheng Liu, Peijin Wu
Summary: High-tech industrial agglomeration plays a crucial role in promoting green innovation efficiency and leading China's economic development. The study shows that scientific high-tech industrial agglomeration patterns and appropriate levels of agglomeration contribute positively to green innovation.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Kui Liu, Xinyan Liu, Houyin Long, Dexiang Wang, Guanglu Zhang
Summary: Energy is crucial for economic activities and improving energy efficiency is essential for China's long-term development. However, China's current energy efficiency is relatively low, which calls for urgent improvement. This study empirically investigates the nonlinear impact of spatial agglomeration on enterprises' energy efficiency in China, and identifies the internal mechanisms and influencing factors. The findings suggest that enterprises should make full use of the benefits brought by spatial agglomeration, and the government should support and guide its growth.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Environmental Sciences
Yuanyuan Cai, Zhiqiang Hu
Summary: This paper examines the effects of industrial agglomeration on electrical energy consumption from a spatial perspective and finds that different types of agglomeration have different impacts and there are spatial spillover effects. The results suggest that policymakers should guide the types of agglomerated industries based on regional characteristics to achieve a balance between economic growth and energy conservation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Thermodynamics
Chenyang Yu, Yuanfang Tan, Yu Zhou, Chuanxiang Zang, Chenglin Tu
Summary: This study investigates the impact of functional urban specialization (FUS) on industrial energy efficiency, using prefecture-level city data from 2005 to 2017. The results show that FUS has a significantly positive impact on industrial energy efficiency, especially in peripheral cities. In addition, FUS reduces the negative effects of city scale and strengthens the positive effects of transportation.
Article
Economics
Jian Wang, Furong Sun, Kangjuan Lv, Lisha Wang
Summary: This study investigates the impact of spatial agglomeration on manufacturers' energy consumption behavior in China. The findings suggest that refined spatial agglomeration plays a mitigating role in reducing a firm's energy intensity, while agglomeration economies diminish quickly with distance. Heterogeneity analysis reveals diverse patterns of energy efficiency among manufacturers based on ownership and trade status.
Article
Environmental Sciences
Cheng Zhong, Hanny Zurina Hamzah, Jin Yin, Desheng Wu, Jianhong Cao, Xiaoming Mao, Qianda Zhuang
Summary: This paper examines the impact of industrial agglomeration on industrial eco-efficiency and finds an inverted N-shaped relationship between industrial agglomeration and industrial eco-efficiency, with positive spatial spillover effects. The study also discovers that energy intensity plays a mediating role in this relationship.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Tao Ma, Xiaoxi Cao
Summary: This paper empirically analyzes the impact of industrial structure on haze pollution in China from 2003 to 2018 using spatial econometric models. The results show that upgrading and rationalization of the industrial structure can significantly reduce haze pollution, while technological progress and trade openness also have noticeable effects. Different regions respond differently to industrial structure changes, which in turn affect haze pollution levels.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Guangrong Tan, Yiping Cao, Rui Xie, Jiayu Fang
Summary: This study examines the impact of intergovernmental competition on air quality in China and finds that tax competition has a negative effect on air quality, while infrastructure competition does not. The study also reveals that tax competition affects air quality through industrial spatial distribution, leading to pollution spillover and transfer effects. Regulatory measures such as fiscal decentralization and environmental regulation can mitigate the negative impact of intergovernmental competition on air quality.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Operations Research & Management Science
Cheng Li, Jie Ji
Summary: The study finds that labor-intensive industrial agglomeration inhibits green economic efficiency, while capital-intensive industrial agglomeration has a smaller impact and technology-intensive industrial agglomeration significantly improves green economic efficiency.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Thermodynamics
Hui Peng, Yaobin Lu, Qunwei Wang
Summary: The digital economy has brought hopes for improving total factor energy efficiency (TFEE). This study establishes a comprehensive evaluation model that examines how heterogeneous industrial agglomeration, moderated by the level of digitalization development (DDL), affects industrial structure adjustment and ultimately TFEE. Empirical testing using provincial-level panel data from 2006-2019 and various statistical estimates confirms the inverted N-shaped relationship between specialized industrial agglomeration (SIA) and TFEE, as well as the N-shaped relationship between diversified industrial agglomeration (DIA) and TFEE. The study also finds that industrial structure upgrading and optimization partially mediate the nexus between heterogeneous industrial agglomeration and TFEE, while DDL positively moderates the relationships between SIA or DIA and TFEE, as well as between SIA*DIA and TFEE.
Article
Thermodynamics
Mustafa Kiziltan
Summary: Efficient use of water resources plays a crucial role in achieving Turkey's energy efficiency goals. An increase in water consumption leads to a rise in electricity consumption, while urbanization and electricity prices have varying effects on electricity consumption.
Review
Green & Sustainable Science & Technology
Yi Ren, Yuan Tian, Chengqiu Zhang
Summary: Industrial agglomeration has both positive and negative impacts on industrial efficiency, leading to environmental pollution that affects sustainable industrial development. In China, continuing industrialization, controlling industrial pollutant emissions, and promoting technological innovation in industrial enterprises are recommended to enhance sustainable industrial development.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenchao Li, Jian Xu, Dragana Ostic, Jialiang Yang, Rongdi Guan, Lin Zhu
Summary: This study examines the impact of low-carbon technological innovation on energy efficiency in China, finding that it has a positive direct effect but a negative total effect. The study also highlights the importance of government policy, industrial structure, and foreign capital in influencing low-carbon technology innovation.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Environmental Sciences
Hong Shen, Yifan Wang, Rumeng Deng
Summary: Clean energy consumption can significantly promote the decoupling of economic growth and environmental pollution, but may have negative effects in certain regions. The study results demonstrate that the decoupling state exhibits obvious spatial heterogeneity and aggregation characteristics in different areas.
POLISH JOURNAL OF ENVIRONMENTAL STUDIES
(2021)
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)