Article
Environmental Sciences
Huan Yan, Shuang Li
Summary: This research examines the direct and indirect effects of steel trade on CO2 emissions using data from 56 nations between 2010 and 2018. The results show that steel exports increase local carbon emissions while decreasing carbon emissions in neighboring countries. Additionally, urbanization and per capita GDP have positive spatial spillover effects, while the effect of R&D intensity is insignificant. Moreover, increased industrialization and renewable energy consumption positively affect carbon emission reduction in local and surrounding nations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Business
Chen Wang, Zhongzhu Chu, Wei Gu
Summary: The study found that public attention can prompt governments to enact regulations, improve local wastewater treatment efficiency, and enhance the wastewater treatment level in surrounding provinces, thereby strengthening public supervision of environmental issues.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Environmental Studies
Chengyu Li, Qunwei Wang, Peng Zhou
Summary: This study measures the degree of resource curse in China using an improved resource curse index model and investigates its spatial agglomeration characteristics, influencing factors, and spatial spillover effects based on a spatial statistical model. The research findings indicate that the resource curse in China is deep but showing a downward trend and being alleviated. There are significant regional and provincial differences in the degree of resource curse, with most regions and provinces experiencing a decline. The spatial agglomeration of China's resource curse is evident, forming a resource curse club centered on Shanxi, Shaanxi, Ningxia, Qinghai, and Inner Mongolia. Environmental regulation, technological innovation, industrial agglomeration, human capital, and urbanization level are the main factors alleviating the resource curse, while foreign direct investment and industrial structure exacerbate it. The spatial spillover effect of the resource curse is significant, and the resource curse in local provinces is influenced by the resource curse in neighboring provinces. The spatial spillover effects of industrial structure, human capital, foreign direct investment, and technological innovation are also significant.
Article
Green & Sustainable Science & Technology
Xiaoli Shi, Ying Chen, Qianju Cheng
Summary: This study examines the impact of environmental regulation and environmental knowledge spillover on regional economic growth in China, finding that environmental regulation has a nonlinear U-shaped effect while environmental knowledge spillover significantly contributes to economic growth. In addition, factors such as research and development expenditure, human capital, urbanization level, government intervention, and opening-up level also influence economic growth.
Article
Environmental Sciences
Gan Liu, Sanyu Wan
Summary: Information and communication technology (ICT) has a significant impact on socio-economic development, but it also has potential influence on climate change. This study analyzes the data from 285 prefecture-level cities in China to explore the effects and mechanisms of ICT on CO2 emissions, identifying spatial spillover effects and the intermediary effect of energy consumption. Additionally, the impact of ICT on CO2 emissions varies across different cities due to their geographical position, population size, and urban agglomeration.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Penghui Xu, Xicang Zhao, Haili Li, Shi Guo
Summary: The objective of this study is to investigate the spatial effects of health expenditure and health output in China. The results show that, excluding the number of doctors per thousand, provincial health expenditure, number of beds per thousand population, and per capita education level have a positive impact on regional health output. China's health inputs exhibit a spatial spillover effect.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Guoyong Wu, Noman Riaz, Rui Dong
Summary: The agricultural sector is crucial for both rural and urban populations in developing countries, as it supports the industrial and economic development of the nation. However, intensive use of agricultural chemicals has led to negative environmental effects such as water pollution, soil erosion, and loss of biodiversity. This study focuses on measuring China's agricultural eco-efficiency and suggests that there is room for improvement in terms of optimizing resource input and output to enhance ecological efficiency and sustainability.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Guoyin Xu, Tong Zhao, Rong Wang
Summary: This study examines the spatial correlation and spatial spillover effect of e-commerce poverty alleviation efficiency in China's 30 provinces and cities. The research finds that there is a significant positive spatial correlation among regions, with higher efficiency in the east compared to the west. Industrial agglomeration is the most significant factor influencing efficiency. The study provides practical guidance for differentiated strategies in regional poverty alleviation.
Article
Environmental Sciences
Lei Du, Minghua Tian, Junguo Cheng, Wanzhe Chen, Zeyu Zhao
Summary: This study measures the green energy efficiency and uses the spatial Durbin model to examine the impact of environmental regulation on green energy efficiency in China. The results show that China's green energy efficiency is low and its growth is mainly driven by technological progress. The eastern region has the highest efficiency while the central region has the lowest. Additionally, environmental regulation can improve green energy efficiency locally but inhibit it in adjacent provinces.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Guangcheng Ma, Xiangjie Xie, Shide Liu
Summary: This paper examines the impact of environmental regulation on the domestic value-added rate of exports in China. By constructing a dynamic spatial econometric model and using data from 285 cities between 2000 and 2020, the research findings show that environmental regulation has a nonlinear U-shaped effect on the domestic value-added rate of exports, with a positive spatial spillover effect. The study also reveals heterogeneity in the impact and spillover effects of environmental regulation on the domestic value-added rate of exports, depending on cities' administrative levels, geographical locations, and sizes.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Yanling Li, Mengxin Wang, Gaoke Liao, Junxia Wang
Summary: This paper empirically investigates the impact of digital financial inclusion on farmers' income growth and finds that it significantly promotes farmers' income growth. It also has a positive spatial spillover effect. The impact of digital financial inclusion on farmers' income growth is also heterogeneous in terms of provincial economic development level.
Article
Engineering, Industrial
Xiongfeng Pan, Shucen Guo, Mengna Li, Jinbo Song
Summary: Through analyzing panel data from 2009 to 2015 of 30 provinces in China, the study found that there is spatial clustering of technological innovation capability and technology infrastructure investment in China, and the impact of technology infrastructure investment on technological innovation capability shows an inverted U-shaped relationship. The study also reveals that technology infrastructure investment has a nonlinear influence on the technological innovation capability of neighboring regions, promoting first and then suppressing.
Article
Public, Environmental & Occupational Health
Xuming Shangguan, Shabir Mohsin Hashmi, Haiya Hu, Wing-Keung Wong
Summary: This study analyzes the data from 278 cities in China and finds that tax competition inhibits high-quality economic development, while environmental regulation has a positive effect. However, there is a negative spatial spillover effect. The direct and spatial spillover effects of tax competition and environmental regulation are smaller in large and medium-sized cities. The findings of this study provide guidance for better decision-making in economic development for both the central government and local governments in China.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Zhengxia He, Leyi Kuai, Xin Chen, Wenxing Shen, Wenbo Li
Summary: Based on spatial regression methods, this study finds that human capital, enterprise R&D intensity, and research institution R&D intensity have a significant driving effect on local renewable energy technology innovation (RETI) in China. The study also highlights the strong spatial spillover effect of enterprise R&D intensity on surrounding provinces' RETI. Effective policies should be formulated to break the regional division in human capital investment and promote the optimized allocation of talents to better promote RETI in China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Francis Tang Dabuo, Jianguo Du, Beverlley Madzikanda, Pierrette Tiefigue Coulibaly
Summary: This study examines the carbon emissions in 30 provinces of China from 2004 to 2019. The results show that R&D intensity, environmental regulation, and energy consumption contribute to the increase in carbon emissions, and the spillover effects of neighboring regions also contribute to local carbon emissions. In addition, the study finds that R&D and environmental regulations strongly moderate the link between energy consumption and carbon emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Tao Ge, Jinye Li, Ru Sha, XiongLei Hao
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Environmental Sciences
Tao Ge, Jinye Li
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2020)
Article
Environmental Sciences
Tao Ge, Wei Qiu, Jinye Li, Xionglei Hao
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Article
Environmental Sciences
Tao Ge, Xuchen Lv, Li Ma, Xiaoyan Shen
Summary: To combat air pollution caused by rapid industrialization, China has implemented the National Industrial Relocation Demonstration Zones (NIRDZs) policy. Through panel data analysis of 285 prefecture-level cities, this study finds that industrial relocation has an inhibitory effect on SO2 emissions, with significant local effects in the first 5 years and spillover effects limited to a range of 50-100 km. Mechanism analysis suggests that the NIRDZs policy achieves air emission reduction by rationalizing and upgrading the industrial structure.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
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
Green & Sustainable Science & Technology
Tao Ge, Xuesen Cai, Xiaowei Song
Summary: The study shows that green finance and renewable energy technological innovation have significant impacts on China's industrial structure. As green finance develops, there is a non-linear relationship between RETI and industrial structure, with a positive effect on industrial upgrading in the eastern region.
Article
Green & Sustainable Science & Technology
Ru Sha, Tao Ge, Jinye Li
Summary: China's energy market reform has asymmetrical characteristics, with distortions in energy prices due to the transition from a planned economy to a market economy. This study examines the impact of price distortions on fossil energy sources and renewable energy on China's economic growth and carbon emissions using panel data from 30 Chinese provinces from 2006 to 2018. The findings show that while coal and renewable energy price distortions hinder economic growth, distortions in oil and natural gas prices promote economic growth. All four energy price distortions contribute significantly to increased carbon emissions, and there is regional heterogeneity in the impact of energy price distortions on economic growth and carbon emissions. Technological innovation, industrial structure upgrading, investment effects, optimization of energy consumption structure, and environmental regulations are identified as important transmission mechanisms in the relationship between energy price distortions and China's economic growth and carbon emissions. These findings are valuable for formulating energy price reform policies that benefit China's economy and environment.
Article
Green & Sustainable Science & Technology
Tao Ge, Jinye Li, Cang Wang
Summary: This study analyzes panel data of 285 cities in China and finds that the innovative city pilot scheme significantly reduces CO2 emissions, with a 17.1% decrease in pilot cities compared to non-pilot cities. The impact of the pilot scheme is mainly seen in the central region and prefecture-level cities, and is mediated by technological innovation, industrial upgrading, and environmental governance.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Economics
Tao Ge, Chunying Li, Jinye Li, Xionglei Hao
Summary: This study examines the impact of economic growth targets on green development. Using data from 285 cities in China, the results show that economic growth targets have both positive and negative effects on green development. Green total factor productivity is improved while pollution emission intensity is increased. The results also reveal the influence of green innovation, resource misallocation, strategic interaction, and transboundary pollution on the outcome.
ECONOMIC MODELLING
(2023)
Article
Green & Sustainable Science & Technology
Tao Ge, Xinrui Chen, Yuewen Geng, Keling Yang
Summary: Regional collaborative governance is found to effectively reduce air pollution in China based on panel data from 285 cities during 2003-2019. The long-term inhibiting impact and temporal increase of regional collaborative governance on air pollution are demonstrated, while the spillover effect is only significant within a specific range and decays over space. Mechanism analysis reveals that regional collaborative governance reduces air pollution by enhancing environmental regulation, improving governance efficiency, and promoting environmental protection technology. This study provides valuable policy insights for achieving green and sustainable development.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Public, Environmental & Occupational Health
Tao Ge, Ziqi Ding, Shuowan Lin, Yumeng Yang, Jianhua Ji
Summary: This study, based on panel data from 281 cities in China from 2004 to 2016, uses the Cobb-Douglas production function and threshold model to analyze the distribution and impact of environmental regulation dividends inequality (ERDI) on inclusive growth (IG). The findings show that while the distribution structure of environmental regulation dividends has improved, inequality between urban and rural residents still exists. The impact of ERDI on IG is non-linear, transitioning from significant inhibition to slight promotion after exceeding a threshold value. Grouping tests reveal heterogeneity in the effect of ERDI on cities with different resource endowments and leading industries, with non-resource-based cities experiencing inclusive growth inhibition even when ERDI exceeds the threshold value. Mechanism analysis highlights the role of primary distribution and redistribution as channels through which ERDI inhibits and promotes inclusive growth below and above the threshold value, respectively. These findings have important implications for the promotion of inclusive growth through enhancing and distributing environmental regulation dividends.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Thermodynamics
Ru Sha, Jinye Li, Tao Ge
Summary: This study found that all fossil energy prices are distorted, especially coal and oil prices are more affected. Fossil energy price distortions have negative impacts on China's green economic development, calling for improvements in market-based energy pricing mechanisms and the implementation of differentiated pricing policies in different regions.
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)
