Article
Green & Sustainable Science & Technology
Tianhao Yang, Guofeng Gu
Summary: This paper evaluates the level of high-quality economic development in Chinese provinces and investigates its spatial differentiation and driving factors. The study finds that Chinese HQED shows a stable upward trend, with decreasing intra-regional differentiation and concentrated inter-regional differentiation. There is also a siphon effect where stronger provinces exploit the resources and development opportunities of weaker provinces. Factors such as economic scale, urbanization level, resource endowment, government size, green technological innovation, industrial structure upgrading, and environmental regulations have varying degrees of impact on HQED.
Article
Oceanography
Jianyue Ji, Dongfang Wang
Summary: This study evaluates the development of the tourism industry in Chinese coastal cities by constructing an evaluation index system. It explores the regional differences, dynamic evolution, and drivers of tourism development in these cities. The findings indicate a pattern of declining and then increasing tourism development, significant regional differences, and a clear gradient effect and divergence in tourism development.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Jingyi Wang, Shuguang Liu, Yubin Zhao
Summary: This paper analyzes the spatial and temporal evolution characteristics of economic dual circulation coordinated development in China's coastal area using TOPSIS evaluation model, coupling coordination model, standard deviation ellipse, and exploratory spatial data analysis. By employing geographical detectors, the driving factors of economic dual circulation are identified. The results show that the development levels of internal and external economic circulation in China's coastal area are stable and rising, with internal circulation being higher. The overall coupling coordination degree of economic dual circulation exhibits a positive trend. There is regional heterogeneity and spatial correlation in the coupling coordination degree, with a strong internal and weak external distribution pattern. The coordinated development is driven by multiple factors such as technological innovation capability, income level, circulation and marketization process.
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
Green & Sustainable Science & Technology
Yansong Zhang, Xiaolei Fan, Yu Mao, Yujie Wei, Jianming Xu, Lili Wu
Summary: China has become the largest consumer of chemical fertilizers, which has led to environmental pollution and threatens sustainable development. This study examines the factors driving chemical fertilizer consumption using panel data from 31 provinces in China and the Tapio decoupling model. The results show a significant decrease in fertilizer consumption since 2015 and a decoupling relationship between fertilizer consumption and economic growth. Various factors promote or restrain fertilizer consumption in China, including economic level, crop value, fertilizer efficiency, fertilization intensity, per capita arable land area, population size, science and technology level, agricultural population, and industrial structure. Finally, recommendations are provided to improve fertilizer efficiency from the perspectives of farming modes and science and technology.
Article
Ecology
Xiaolin Cui, Zhan Shen, Zhihui Li, Jia Wu
Summary: Assessing the green development performance of 110 prefecture cities in the Yangtze River Economic Belt from 2011 to 2017, it was found that the overall level of green development performance was not high, especially in terms of green guarantee capability which did not improve significantly. Cities in the east had higher levels of green development performance compared to those in the west, with economically developed areas showing better performance and even some underdeveloped areas demonstrating high growth rates.
ECOLOGICAL INFORMATICS
(2021)
Article
Public, Environmental & Occupational Health
Fei Lu, Huaiguo Ren, Xinglong Zhai
Summary: Tourism ecosystem health is crucial for high-quality tourism development. The research on tourism ecosystem health in China is of practical significance as China promotes sustainable development and the transformation of regional tourism. This study constructed an evaluation index system based on the DPSIR model and used various methods to explore the dynamic evolution and driving factors of tourism ecosystem health in China from 2011 to 2020. The findings suggest an M-shaped fluctuation process with spatial correlation and difference, a path-dependent and self-locking effect on the type transfer, and the influence of different factors in provinces with low and high tourism ecosystem health types.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Construction & Building Technology
Siying Chen, Zhixiong Tan, Siying Mu, Jiayi Wang, Yanyu Chen, Xingwang He
Summary: This study aims to assess the synergy level of pollution and carbon reduction, identify driving factors, and provide realization paths to reduce pollution and carbon emissions synergistically. Results reveal that PM2.5 control is more effective than carbon emission management. Social and natural factors including industrial structure, technological innovation, energy structure, human capital, and economic foundation significantly influence pollution and carbon reduction synergy.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Green & Sustainable Science & Technology
Siqin Liu, Huaijin Qi, Yinglin Wan
Summary: This study uses structural equation models to explain the driving factors and mechanism of China's green bond market growth. The findings suggest that the local economy and environmental governance have a larger impact on the market growth, followed by the institutional environment. Policy support, however, has a small and statistically insignificant impact. These results have practical implications for further promoting the development of the green bond market and building a green financial system.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Business
Longfang Chen, Hao Wu
Summary: Using the case of 21 cities in Guangdong Province, this study evaluates the level of regional economic synergistic development and its drivers from 2000 to 2019. The results show that the regional industrial division of labor is the main driver of economic synergistic development in Guangdong. The overall level of synergistic development has advanced from an intermediate diffusion stage to an advanced, symbiotic one. However, there are apparent differences in the gradient between East Guangdong, West Guangdong, North Guangdong, and the Pearl River Delta.
EMERGING MARKETS FINANCE AND TRADE
(2023)
Article
Green & Sustainable Science & Technology
Hui Tang, Yun Chen, Rongjun Ao, Xue Shen, Guoning Shi
Summary: This study comprehensively evaluates the population health level and economic development level at the provincial scale in China using multiple models and methods, and reveals the spatial and temporal evolution characteristics and driving factors of the coupled coordination relationship between them. The results show that China's population health and economic development are in a high-level coupling stage and a good coordination stage, with spatial differentiation and changes.
Article
Environmental Sciences
Xiaoyu Liu, Yun Xin
Summary: China's provinces exhibit significant differences in their development conditions, levels, and models. The contradictions in development are becoming increasingly prominent and pose challenges to sustainable development. This study measures the coupling and coordinated development of the economy, sci-technology, ecology, resources, and society (ESERS) among the five development levels of China's provinces. The findings reveal weak coupling coordination relationships and unbalanced development of ESERS among different regions. The backward industrial structure is identified as the primary reason for the unbalanced development, while factors such as openness, eco-environmental governance ability, and education investment intensity contribute to the regional differentiation of ESERS development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Physics, Multidisciplinary
Lizhi Xing, Xi Ai, Jiaqi Ren, Dawei Wang
Summary: By constructing a global industrial value chain network model and introducing the theoretical framework of social capital, this study defines network-based indicators with economic meanings and analyzes the impact of three types of capital on social capital. The results demonstrate the varying influences of structural, relational, and cognitive capital on social capital.
Article
Environmental Sciences
Guobao Xiong, Junhong Deng, Baogen Ding
Summary: This study reveals the temporal and spatial differentiation of China's regional tourism carbon emissions and its decoupling relationship with tourism economic growth, providing a reference for emission reduction policies. The analysis indicates significant growth in tourism carbon emissions across regions in China, with varying degrees of decoupling between emissions and economic growth. Driving factors affecting emissions differ across regions, with tourism scale and consumption leading to emission growth, while energy intensity plays a role in reducing emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Yazhu Wang, Xuejun Duan, Lingqing Wang, Hui Zou
Summary: This study quantitatively analyzes the temporal and spatial changes, spatial effects and determinants of industrial pollution discharge in the Yangtze River Economic Belt. The results show that industrial emissions first increased and then decreased, spreading from large to small and medium cities and shifting from downstream to upstream. There is a positive correlation between industrial pollution discharge and per capita GDP, secondary industry proportion, population density, and energy use. The study also finds the presence of pollution refuge phenomenon in the Yangtze River Economic Belt.