Article
Thermodynamics
Xiaoxiao Liu, Qian Niu, Shuli Dong, Shuiying Zhong
Summary: This paper adopts the spatial Dubin model to analyze the panel data of China's 30 provinces from 2002 to 2019, considering the spatial spillover effect of carbon dioxide. It explores the CO2 intensity mitigation effect of China's renewable energy consumption and investigates the mediation role of technological innovation, industrial structure upgrading and optimization, and energy efficiency in the relationship between renewable energy consumption and carbon intensity. The main findings indicate that renewable energy consumption can significantly reduce carbon intensity and per capita carbon emissions by promoting technological innovation, industrial structure upgrading, and improving energy efficiency. Based on these conclusions, several policy implications are provided for governments to reduce CO2 emission intensity.
Article
Environmental Studies
Zhenjun Gao, Shujie Li, Xiufeng Cao, Yuefen Li
Summary: This study analyzed the characteristics and spatial spillover effects of carbon emission intensity in counties in Northeast China from 2000 to 2020 using exploratory spatial data analysis (ESDA), the center of gravity method, and spatial econometric models. The results showed that carbon emission intensity in Northeast China has increased since 2000, with faster growth observed in the western and northern regions. The study also found a positive spatial spillover effect of carbon emission intensity in the region. Furthermore, the study highlighted the importance of considering spatial spillover effects when developing carbon reduction strategies for sustainable development.
Article
Environmental Sciences
Baoguo Shi, Renwang Wang, Ru Zhe, Ziqian Zhai
Summary: This study uses the panel data of 16 districts in Beijing, China from 2009 to 2020 to measure and analyze carbon emission intensity and the level of industrial structure upgrading. A spatial econometric model is established to analyze the spatial spillover effect of industrial structure upgrading on carbon emission intensity. The results show that industrial structure upgrading not only reduces carbon emission intensity in the region but also decreases it in surrounding areas.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Economics
Roberto Balado-Naves, Jose Francisco Banos-Pino, Matias Mayor
Summary: This paper examines the influence of spatial spillovers on energy intensity growth and convergence among 153 countries from 1999 to 2018. The inclusion of spatially lagged variables allows for the study of trade, technological diffusion, and policy mimicry on these processes. Contrary to previous studies, different spatial specifications and weight matrices are considered to determine if spatial spillovers are exogenous or endogenous. The study finds that the spatial lag of X model (SLX) with local spatial weight matrices fits the data better. Convergence is observed globally, but depends on the spatial distribution of countries and long-term economic characteristics. Clusters of nearby countries show higher rates of convergence. Domestic capital accumulation, total factor productivity growth, and renewable energy consumption significantly influence the characteristics of convergence clusters. Spatial spillovers related to capital accumulation, population growth, and renewable energy consumption also contribute to the definition of these clusters.
Article
Economics
Jie Xu, Tao Lv, Xiaoran Hou, Xu Deng, Na Li, Feng Liu
Summary: This study investigates the spatiotemporal distribution characteristics and influencing factors of renewable energy production in China. The results show that renewable energy production in China exhibits significant spatial agglomeration, with solar power having the highest degree of agglomeration. The study also reveals the presence of spillover effects in renewable energy production, indicating that the development of renewable energy in one area can positively influence neighboring areas. Transmission infrastructure, environmental regulation, and urbanization level are found to significantly promote renewable energy production.
Article
Green & Sustainable Science & Technology
Tao Ge, Ziqi Ding, Xiaoya Lu, Keling Yang
Summary: The study finds that there is a race to the top strategic interaction among provincial governments in China when setting energy intensity targets. Energy intensity targets have a positive impact on renewable energy consumption, but there is regional heterogeneity, with resource-rich and non-resource-rich areas experiencing different effects. Additionally, energy intensity targets increase renewable energy consumption by optimizing energy outcomes and encouraging green innovation.
Article
Green & Sustainable Science & Technology
Tao Ge, Xionglei Hao, Jinye Li
Summary: The study found that public participation has a positive impact on environmental governance, with significant spatial spillover effects within a limited range of 900 km. Additionally, public behavior participation and public policy participation are interchangeable in terms of their effects on environmental governance, and improving one can enhance the local and spillover effects of public participation when the other remains unchanged.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Oceanography
Xiu-Mei Fu, Wan -Yu Wu, Chun -Yu Lin, Hong-Li Ku, Li-Xia Wang, Xiang -Hong Lin, Ying Liu
Summary: Green innovation is important for the transformation and upgrading of China's traditional marine fishery. The overall level of green innovation ability in China's marine fishery is low but on the rise. There are regional differences, with high-high agglomeration and low-low agglomeration being spatially correlated. The factors that influence the green innovation ability include environmental regulation, innovation human resources input, capital input, industrial structure upgrading, and the level of opening-up.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Shucheng Liu, Peijin Wu
Summary: The contradiction between rapid urbanization and energy supply and demand is hindering the green development of Chinese cities. The impact of population agglomeration on urban energy eco-efficiency remains unclear. This study used remote sensing data, population statistics, and panel data from 260 Chinese cities to explore the relationship between population agglomeration and energy eco-efficiency. The findings suggest that population agglomeration contributes to regional energy eco-efficiency with spillover effects, and technological innovation plays a mediating role in this relationship. Heterogeneity analysis reveals temporal and spatial variations in the effect of population agglomeration on energy eco-efficiency.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Tao Ge, Li Ma, Cang Wang
Summary: This study investigates the impact of economic growth targets on CO2 emissions in Chinese cities using the spatial Durbin model. The results show that economic growth targets have both negative and positive effects on CO2 emissions in local and adjacent areas, although the spillover effect diminishes rapidly in space. The study also finds that the adverse impact of economic growth targets on carbon emission reduction varies by city, and fiscal decentralization and environmental decentralization play key roles in mediating and masking these effects.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Xing Wang, Dequn Zhou
Summary: The study examines the impact of urbanization on pollutant emissions, revealing interesting patterns such as significant positive autocorrelation in pollutant emissions, a U-shaped relationship between urbanization and pollutant emissions, and an inverted U-shaped relationship between economic development and pollutant emissions. Additionally, factors such as technological progress, foreign direct investment, economic development, and population also exhibit spatial spillover effects on pollutant emissions.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Shiwei Yu, Yali Zheng, Xing Hu, Kesheng Shu
Summary: This study investigates the role of biomass resource endowment in green development efficiency (GDE) through a unified theoretical framework. The results demonstrate a positive direct effect of biomass resource endowment on regional GDE, and highlight the potential underestimation of the impact of biomass technological innovation on GDE when spatial spillover effects are ignored.
Article
Environmental Sciences
Chenggang Li, Yong Gan
Summary: The development of green finance has a positive impact on improving the local ecological environment and also has a significant positive spatial spillover effect on surrounding areas.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Jinyu Chen, Dandan Zhu, Xiaohang Ren, Wenjing Luo
Summary: Based on the panel data of 284 prefecture-level cities in China, this paper uses the dynamic spatial Durbin model to explore the impact of digital finance on green innovation from the dimensions of quantity and quality. The results show that digital finance has a positive impact on both the quality and quantity of green innovation in local cities, but the development of digital finance in neighboring cities has a negative impact on the quantity and quality of green innovation in local cities, and the impact on the quality of green innovation is greater than that on the quantity of green innovation. And after a series of robustness tests, it was shown that the above conclusions are robust. In addition, digital finance can have a positive impact on green innovation mainly through industrial structure upgrading and informatization level. Heterogeneity analysis shows that the breadth of coverage and the degree of digitization are significantly related to green innovation, and digital finance has a more significant positive impact in eastern cities than in mid-western cities.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Xuan Chang, Jinye Li
Summary: The digital economy has significant negative local and spillover effects on carbon emissions, but these effects have regional boundaries.
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)