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Green finance is closely related to sustainable energy development. Using the NVivo12plus software, a governance model of China's green finance policy was constructed using 22 green finance policy texts at the central level as research objects. Furthermore, based on the csQCA method, Tosmana software was used to develop and verify a theoretical model of 19 policy text cases. The research results demonstrate that policy belief, policy objectives, policy tools, policy feedback, and policy cycle are the main components of China's green finance policy governance. Furthermore, policy instruments are the fundamental factors affecting the governance effectiveness of China's green finance policy. Policy goals and policy feedback dominate the influence pattern of green finance policy in China. There are three modes driving the influence of green finance policies: regulation-oriented, collaborative-driven, and tool-guided. Finally, for the optimization and improvement of green finance policies, three forces must be improved: stimulus force, driving force, and promotion force. [ABSTRACT FROM AUTHOR]

Exchanges of products and services in bilateral industries may be accompanied by environmental and economic inequalities which lead to imbalanced situations in relation to environmental protection and economic development. In a close trade relationship between two countries such as Australia and China, their industries inevitably affect each other. This study maps the embodied CO2 emissions and value added in bilateral trade under the input--output model and measures the unequal exchanges in such trade using an originally established industrial environ-economic balance index. The bilateral trade between Australia and China is taken as an example to validate the outcomes of the research method. The results indicate that in 2014, Australia transferred 580.90 billion tons of CO2 and 105.85 billion USD of value added to China, while approximately 375.65 billion tons of CO2 and 25.15 billion USD of value added flowed from China to Australia. China's manufacturing, construction, and services and other industries, and China's and Australia's real estate activities industries had net inflows of embodied CO2 emissions and value added, indicating these industries paid economic costs in return for reducing environmental pressure. In inter-industrial trade between Australia and China, 49 pairs of bilateral industrial trades were relatively fairly balanced, while the remaining 15 pairs of inter-industrial trades were imbalanced. The established environ-economic balance analysis method and quantitative findings are valuable for better understanding the environment impacts of the economic development of national economies and developing national policies in corresponding to the rising environmental issues. [ABSTRACT FROM AUTHOR]

Market sentiment has become more easily spread between cities through social media. This study investigates the spatial effect of market sentiment on housing price in a social media environment. In order to extract home-buyer sentiment from social media, we use text sentiment analysis techniques and build a novel housing market sentiment index. A spatial econometric model of housing price volatility is subsequently constructed and the housing market sentiment index is included as an independent variable in the model. Using panel data from 30 large and medium-sized cities in China for 20 quarters from 2016 to 2020, the spatial effect of market sentiment on housing price is empirically analyzed by calculating direct and indirect effects. The results show that market sentiment had a significant positive effect on housing prices in the local and neighboring cities over the research period. However, the impact of market sentiment on housing price was heterogeneous in terms of geographical region; the direct effect was stronger in the eastern region than in the central and western regions, and the indirect effect was significant only in the eastern region. These findings can provide references for government to formulate housing market regulation policies and measures based on market sentiment. [ABSTRACT FROM AUTHOR]

Background: Type specimens are valuable resources for investigating and exploring biodiversity on Earth, which has high academic and conservation value. Hemipteran insects are one of the most important and diverse groups in Insecta and their type specimens have important reference value for many research fields. So far, the data on the type specimens of the Hemiptera in China have not been fully collated. New information: Through extensive literature review, we have constructed a dataset of type specimens for the new species of hemipteran insects in China published from 1950 to 2017, which includes the data such as collection date, specimen gender, preservation institution and geographical distribution. A total of 6,583 type specimen records were collected, covering 3,783 new species belonging to 1,299 genera and 88 families. This dataset can support the international community in conducting research on taxonomy, biodiversity, evolution and pest management. [ABSTRACT FROM AUTHOR]

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the "information distance" becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets. [ABSTRACT FROM AUTHOR]

This paper investigates the potential application of artificial neural networks in permanent deformation parameter identification for rockfill dams. Two kinds of neural network models, multilayer feedforward network (BP) and radial basis function (RBF) networks, are adopted to identify the parameters of seismic permanent deformation for Zipingpu Dam in China. The dynamic analysis is carried out by three-dimensional finite element method, and earthquake-induced permanent deformation is calculated by an equivalent nodal force method. Based on the sensitivity analysis of permanent deformation parameters, an objective function for network training is established by considering parameter sensitivity, which can improve the accuracy of parameter identification. By comparison, it is found that RBF outperforms the BP network in this problem. The proposed inverse analysis model for earth-rockfill dams can identify the seismic deformation parameters with just a small amount of sample designs, and much calculation time can be saved by this method. [ABSTRACT FROM AUTHOR]

Fifty-two surface soil samples from agricultural, forest, and grassland sites were collected from the Shenzhen municipal area for determination of copper and lead levels. The spatial dependence of the measured results was quantified using semivariogram modeling, and structural changes in copper and lead in Shenzhen surface soil were analyzed during the past 20 years from the late 1980s to 2009. The resulting semivariogram direction of copper was from northwest to southwest, while that of lead was from east to northwest. [ABSTRACT FROM AUTHOR]

The care of major trauma patients continues to be a challenge for emergency physicians and trauma surgeons. We found that the total number of radiological examinations for major trauma patients in this study was high and mainly comprised radiography and computed tomography (CT), with CT being more commonly adopted. The number of CT scans was positively correlated with severity of injury and intensive care unit length of stay. Further study is warranted to optimize radiological examinations involving major trauma patients.