Article
Environmental Sciences
Huanhuan He, Rijia Ding
Summary: Reducing agricultural carbon emissions is crucial for China's carbon peak and neutrality goals. This study employs social network analysis and various statistical methods to investigate the spatiotemporal heterogeneity of agricultural carbon emissions and the moderating effect of agricultural centrality on the relationship between technological progress and carbon emissions. The results show that agricultural carbon emissions exhibited a spatial agglomeration pattern, with high centrality areas playing a key role. Technological progress and centrality were found to have inhibitory effects on carbon emissions, with the effects varying across regions and over time. Furthermore, agricultural centrality positively moderated the relationship between technological progress and carbon emissions.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Environmental Studies
Jishi Wu, Peng Jia, Tao Feng, Haijiang Li, Haibo Kuang, Junyi Zhang
Summary: Understanding and predicting urban traffic carbon emissions is crucial for research and policy decision-making. This study aims to identify the spatial and temporal heterogeneity of the impacts of land use and built environment on urban traffic carbon emissions. The results show that the center of gravity of traffic carbon emissions shifts from southeast to northwest, with consistent patterns on weekdays and weekends. Land use and built environment factors have different effects on carbon emissions across space and time, and increasing land use mix has a greater negative impact on weekday emissions.
Article
Green & Sustainable Science & Technology
Hongyan Liang, Shuangjiao Lin, Jian Wang
Summary: Technological innovation in the logistics industry has a rebound effect on carbon emissions, with spatial spillover strengthening the rebound effect and energy structure optimization weakening it. The study found significant regional heterogeneity in the rebound effect, which fluctuates over time.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Changzheng Zhu, Sha Yang, Pengbo Liu
Summary: This study examines the carbon emissions of Shaanxi province's transportation industry in China and finds that the carbon emissions have increased over the past decade, with rapid growth in non-operating activities. Economic growth is identified as the most significant driver of carbon emissions, while energy intensity and industrial scale play a crucial role in inhibiting carbon emissions.
Article
Environmental Sciences
Tangyang Jiang, Yang Yu, Bo Yang
Summary: With China's focus on green and low-carbon development, the transportation industry still has high carbon emissions. This study examines the carbon emissions and reduction effects of China's transportation industry in the early and late stages of economic new normal. The findings highlight the importance of optimizing energy consumption structure and utilizing low-carbon energy sources for emissions reduction, while the input structure effect has less impact. Furthermore, the final demand effect is identified as the main driving factor for CO2 emissions growth in the transportation industry.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Wenwei Lian, Xiaoyan Sun, Wanli Xing, Tianming Gao, Hongmei Duan
Summary: This study uses a decoupling model and coupling coordination model to measure the relationship between the development levels of different types of urban agglomerations (UAs) and carbon emissions (CEs) in China. The findings show that most UAs have the potential to decouple CEs from economic growth and are in a state of coordinated development. There are spatial and temporal differences in the impacts of various driving factors on UAs' CEs, with land urbanization and investment in fixed assets promoting CEs, while population urbanization and industrial structure restrain CEs. This research provides important insights for UAs to achieve differentiated low-carbon development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Management
Jung Youn Mo
Summary: This study investigates potential factors affecting carbon emissions and finds that innovation activities have a negative relationship with carbon emissions, which varies by industry.
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
(2022)
Article
Environmental Sciences
Chuang Li, Zhecong Zhang, Liping Wang
Summary: As the second largest CO2 emission department, it is crucial for the transportation industry in China to achieve carbon peak by 2030 and carbon neutrality by 2060 in order to reduce carbon emissions. This paper analyzes various factors and predicts carbon emissions using scenario analysis, finding that population, urbanization, economy, technology, and equipment structure all play a role in carbon emissions. Technological breakthroughs and equipment optimization have the most significant effect on emission reduction, with a carbon peak expected by 2030. Provinces with different growth rates and GDP levels should control their carbon emission growth to achieve the carbon peak target.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Studies
Ming Yang, Duoxiang Wang, Xiaofeng Chen, Xiaomiao Lei, Linxiang Cao
Summary: This study aims to analyse the scientific relationship between technological innovation and carbon emissions, using the Chinese electric power industry as a case study. The study found that power technology innovation has a long-term and relatively large effect on carbon emissions, while carbon emissions have a short-term and insignificant impact on power technology innovation.
INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
(2023)
Article
Environmental Sciences
Salman Wahab
Summary: This study examines the impact of international trade and technological innovation on consumption-based carbon emissions in the G7 economy. Results show that technological innovation and exports have a negative impact on carbon emissions, while imports and GDP are positively associated with carbon emissions. Policymakers can encourage technological innovation to reduce carbon pollution and enhance environmental sustainability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Yanling Xu, Muhammad Umar, Dervis Kirikkaleli, Tomiwa Sunday Adebayo, Mehmet Altuntas
Summary: Climate change and environmental degradation have become global concerns that require urgent attention. This study examines the impact of technological innovation, economic growth, structural change, and nonrenewable energy use on CO2 emissions in Turkey. The results indicate that economic growth and nonrenewable energy use contribute to environmental degradation, while technological innovation improves environmental quality. The findings suggest that the Turkish government should restructure its energy sector, promote eco-friendly technologies in production, and transition to a more services-based economy.
Article
Business
Jun Zhao, Muhammad Shahbaz, Xiucheng Dong, Kangyin Dong
Summary: The study found a mediation effect of financial risk on global carbon emissions, reducing emissions by promoting technological innovation. There is significant regional heterogeneity and asymmetry in the impacts of financial risk and technological innovation on global carbon emissions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Green & Sustainable Science & Technology
Shuguang Liu, Jiayi Wang, Yin Long
Summary: Promoting technological innovation in the natural gas industry is crucial for energy transition. This study investigates the scale, technical fields, capabilities, and influencing factors of technological innovation in the industry across 312 Chinese cities. The findings reveal an uneven spatial pattern of innovation, with significant achievements in natural gas equipment and engineering. However, there is a lag in natural gas utilization, and collaborative innovation with related industries is still in the early stages. Unevenness in innovation capabilities is observed, with certain regions forming high-level innovation agglomerations. Factors such as demand, capital strength, urban development, and talent play a role in shaping the spatiotemporal pattern of innovation capabilities.
Article
Environmental Sciences
Xiaoqin Chen, Shenya Mao, Siqi Lv, Zhong Fang
Summary: Transportation is a high-energy and high-emissions industry, and achieving low-carbon development is crucial. This study empirically investigates the impact of digital innovation on carbon emissions in China's transportation industry. The findings suggest a dynamic adjustment pattern and spatial spillover effect. It is recommended to strengthen regional cooperation, enhance digitalization, and promote green transformation.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Thermodynamics
Qingjuan Chen, Qunwei Wang, Dequn Zhou, Honggang Wang
Summary: This study proposes an integrated analytical approach to explore the intrinsic mechanism and potential evolution of low-carbon development in China's transportation industry. The results show that investment is the primary contributor to increasing carbon emissions, while carbon intensity acts as the main inhibitory factor. Transportation exhibits weak decoupling with large fluctuations.
Article
Green & Sustainable Science & Technology
Xiaojun Dong, Tao Shi, Wei Zhang, Qian Zhou
Article
Environmental Sciences
Tao Shi, Wei Zhang, Qian Zhou, Kai Wang
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Ke Liu, Yurong Qiao, Tao Shi, Qian Zhou
Summary: The study found that there are regional differences in the coupling coordination between economic development and ecological environment in the urban areas along the Yellow River Basin, which are influenced by various factors and exhibit different developmental characteristics.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Economics
Qian Zhou, Shihu Zhong, Tao Shi, Xiaoling Zhang
Summary: This paper utilizes spatial econometric method to analyze the impact of environmental regulation on haze pollution in the Yangtze River Delta region. The study finds that environmental regulation can promote environmental improvement, and influence it through technological innovation and adjustment of industrial structure.
Article
Green & Sustainable Science & Technology
Yu Chen, Weiteng Tian, Qian Zhou, Tao Shi
Summary: This study analyzed the spatial and temporal pattern of ECC in 286 cities in China from 2008 to 2017 using GTWR model. The results showed that areas with high ECC are mainly concentrated in provincial capital cities, medium-level cities spread from east to west, and low-level areas are gradually improving. Factors such as population density, GDP, unemployment rate, wage, etc., have significant impacts on the spatial pattern of urban ECC.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Development Studies
Tao Shi, Yurong Qiao, Qian Zhou
Summary: The research shows that the urban resilience of Chinese cities is gradually improving, with a geographical aggregation effect and strong temporal fluctuation. Cities with higher degree centrality and closeness centrality are mainly distributed in key economic regions of China, and the centrality shows non-equilibrium spatial distribution.
Article
Environmental Sciences
Yi Zhang, Tao Shi, Ai-Jun Wang, Qi Huang
Summary: This article analyzes the impact of air pollution on labor mobility using the principal component entropy weight method. It finds that health shocks caused by air pollution have a negative effect on labor mobility and exhibit a single-time threshold effect. The study highlights the importance of air pollution on economic life and labor mobility and provides policy implications.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Qian Zhou, Meng Shi, Qi Huang, Tao Shi
Summary: The study reveals a U-shaped relationship between economic growth and environmental regulation in the Greater Bay Area, with stronger environmental regulation at higher levels of economic development but a decrease after reaching a peak. Technology innovation and resource consumption are crucial mechanisms, with innovation having a positive impact on the environment and resource consumption having a negative impact.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Economics
Tao Shi, Yurong Qiao, Qian Zhou, Jiguang Zhang
Summary: This paper focuses on calculating the resilience index of 282 cities in China from 2012 to 2019 and analyzes the regional differences and random convergence. The study finds that the urban resilience in China is at a medium and low level with significant regional imbalance. The sub-resilience of urban resilience shows significant regional differences, while the Gini coefficient of urban resilience continuously decreases, indicating a narrowing regional imbalance.
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
(2022)
Article
Environmental Sciences
Tao Shi
Summary: Based on the analysis of 30 inland provincial samples in China from 2003 to 2019, this article examines the evolutionary characteristics and driving factors of the coupling coordination between green finance and the ecological environment (CCFE). The results show that the CCFE level in China is moderately low with a fluctuating upward trend, and it displays a spatial distribution pattern of higher levels in the east and lower levels in other regions. The study also reveals the presence of CCFE hotspots in the Pearl River Delta and CCFE cold spots in the upper Yellow River Basin. Additionally, the study identifies the positive spillover effect and accumulative delivery effect of the CCFE in the economic geospatial space. Factors such as population urbanization rate, number of granted patent applications, and the percentage of secondary industries to GDP have significant impacts on the CCFE.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Guangliang Zhou, Di Zhang, Qian Zhou, Tao Shi
Summary: This study examines the spatiotemporal evolution traits and driving forces of the production-living-ecology space (PLES) in the Yellow River Basin (YRB) by analyzing the PLES characteristics and factors in 73 prefecture-level cities from 2005 to 2020. The results show a slowing down of PLES conversion rate in the YRB, with a high-bottom-high frequency of spatial interconversion. The impact of influencing factors on PLES evolution varies with heterogeneous characteristics in time and space. Policy recommendations for rational planning of PLES in the YRB are proposed based on the analysis.
Article
Business, Finance
Tao Shi, Chongyang Li, Hong Wanyan, Ying Xu, Wei Zhang
Summary: This article utilizes a deep learning hybrid model to predict and provide earlier warnings for folk lending risk. The study finds that the LSTM hybrid model shows higher predict accuracy and significantly improves the average value of forecasting accuracy in FIFO lending risk forecasting and earlier warning. The LSTM-GRU and LSTM-CNN models exhibit higher predict accuracy in lending risk forecasting of the FIFO during the COVID-19 pandemic. Therefore, it is believed that the LSTM hybrid model, particularly the LSTM-GRU model, can better predict and early warn lending risk of the FIFO based on big data.
FINANCE RESEARCH LETTERS
(2022)
Article
Environmental Studies
Tao Shi, Chongyang Li, Wei Zhang, Yi Zhang
Summary: Accurate prediction of metal mineral resource prices is crucial for guiding non-renewable resource production and maintaining economic stability.
