作者机构：
[Xiong, Lixin; Ning, Jiajun; Xiong, LX] Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.;[Ning, Jiajun] Beijing Normal Univ, Inst Econ & Resource Management, Beijing 100091, Peoples R China.
通讯机构：
[Xiong, LX ] C;Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.
关键词：
Renewable energy enterprises;Digital transformation;Cooperative game;Evolutionary game;System dynamics model
摘要：
Based on the cooperative-evolutionary game model, this paper studies the dynamic evolution process of the digital transformation strategy selection of renewable energy power plants and renewable energy selling enterprises under government supervision. Renewable energy power plants, renewable energy selling enterprises, and the government are taken as the game players. The Shapley value based on the cooperation game distributes the cooperation benefits brought about by the digital transformation of enterprises and analyses the dynamic evolution process of the strategy of the three-party game players based on evolutionary game theory. Then, based on the system dynamics model, Anylogic and Vensim software are used to simulate the cooperative evolutionary game model, and a sensitivity analysis of the key factors affecting the system stability is carried out. The results show that the "digital transformation" of renewable-energy power plants and renewable-energy selling enterprises will bring about cooperation benefits and promote their joint promotion of digital transformation. Government incentives can accelerate the digital transformation of renewable energy companies. The increase in economic, environmental, and social benefits brought about by the digital transformation of renewable energy enterprises promotes the speed of the digital transformation of renewable energy power plants and renewable energy selling enterprises.
作者机构：
[Ruihuan Liu] School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, China;[Chengwei Zhao] School of Business, Central South University of Forestry and Technology, Changsha 410004, China;[Chunqiao tan] School of Business, Nanjing Audit University, Nanjing 211815, China
通讯机构：
[Chengwei Zhao] S;School of Business, Central South University of Forestry and Technology, Changsha 410004, China
摘要：
With vaccine incidents occur frequently and the wide application of blockchain technology, the construction of blockchain-based vaccine supply chain (VSC) has become a feasible solution to effectively solve vaccine safety problems. However, there is a lack of research on the operation decision of blockchain-based VSC. Based on this, combined with the current situation of vaccine manufacturers competition in the vaccine market, we build a game model of blockchain-based VSC and explore its optimal decision and coordination strategies. The results show that the higher the vaccine substitutability, the higher the profit of each member. When the production cost ratio of the two vaccine manufacturers is low, they will be more willing to join the blockchain system. When the proportion of problematic vaccines is low, it is more beneficial for the VSC to adopt blockchain technology. The cost-sharing contract can neither effectively coordinate the blockchain-based VSC nor realize its Pareto optimality. The blockchain-based VSC coordination can be achieved by two vaccine manufacturers signing revenue-sharing contracts or two-part tariff contracts with the vaccination unit respectively.
作者：
Yuqi Li;Tao Meng*;Zhixiong He;Haiyan Liu;Keqin Li
期刊：
计算机科学前沿(英文),2024年18(3):1-3 ISSN：2095-2228
通讯作者：
Tao Meng
作者机构：
[Yuqi Li; Tao Meng] School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China;[Zhixiong He] School of Business, Central South University of Forestry and Technology, Changsha, China;[Haiyan Liu] College of Information Engineering, Changsha Medical University, Changsha, China;[Keqin Li] Department of Computer Science, State University of New York, New York, USA
通讯机构：
[Tao Meng] S;School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China
摘要：
Most truss-based community search methods are usually confronted with the fragmentation issue. We propose a Biased edge Enhancement method for Truss-based Community Search (BETCS) to address the issue. This paper mainly solves the fragmentation problem in truss community query through data enhancement. In future work, we will consider applying the methods in the text to directed graphs or dynamic graphs.
摘要：
Ecologically fragile areas in China account for more than half of its land area. Performing early warning assessments and trend analyses of resource and environment carrying capacity in ecologically fragile areas can lay a scientific foundation for ecological conservation in the areas. Based on the connotation of resource and environment carrying capacity, an early warning index system of resource and environment carrying capacity in Altay prefecture was constructed from the three aspects natural resource carrying capacity, eco-environment carrying capacity, and economic and social support capacity. The grey relational projection method model was used to analyze the current alarm situation of the resource and environment carrying capacity in Altay prefecture from 2011 to 2020, and then the back propagation (BP) neural network and a mathematical statistics software were used to predict the evolution of the alarm situation of the resource and environment carrying capacity in Altay prefecture from 2021 to 2025. The results demonstrated that (1) the natural resource carrying capacity subsystem was the main system of the development of the resource and environment carrying capacity in Altay prefecture, and its impact on the resource and environment carrying capacity in Altay prefecture was greater than the eco-environment carrying capacity and economic and social support capacity; (2) the resource and environmental carrying capacity of Altay prefecture showed a slight upward trend from 2011 to 2020, although the range was constrained and the level of warning remained “moderate warning”. A spatial pattern of “weak in the middle, strong in the two poles” was exhibited by the warning scenario about the carrying capacity of each county and city. Except for the warning of Habahe County and Qinghe County, where the warning was slightly worse than that in 2020, the warning of resource and environment carrying capacity in Altay prefecture and other counties and cities would show a trend of fluctuation and decline from 2021 to 2025. However, the degree of alarm did not change substantially and remained at the level of “moderate warning”; (3) the main factors restricting the mitigation of the warning of resource and environment carrying capacity in Altay prefecture included a low soil fertility index, a small total reservoir capacity, low per capita mineral resource reserves, a low water resource development and utilization rate, a low comprehensive utilization rate of industrial solid waste, and a low land output rate.
作者：
Ning, Ying;Liu, Shuguang*;Smith, Andrew R.;Qiu, Yi;Gao, Haiqiang;...
期刊：
Science of The Total Environment,2023年863:160705 ISSN：0048-9697
通讯作者：
Liu, Shuguang
作者机构：
[Liu, Shuguang; Ning, Ying; Feng, Shuailong; Gao, Haiqiang] Cent South Univ Forestry & Technol CSUFT, Natl Engn Lab Appl Technol Forestry & Ecol South C, Changsha 410004, Peoples R China.;[Liu, Shuguang; Ning, Ying; Feng, Shuailong; Gao, Haiqiang] Coll Life Sci & Technol, CSUFT, Changsha 410004, Peoples R China.;[Smith, Andrew R.] Bangor Univ, Environm Ctr Wales, Sch Nat Sci, Bangor LL57 2UW, Wales.;[Qiu, Yi] Coll Business, CSUFT, Changsha 410004, Peoples R China.;[Lu, Yonglong] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
通讯机构：
[Shuguang Liu] N;National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China<&wdkj&>College of Life Science and Technology, CSUFT, Changsha 410004, China
关键词：
Cross-sectional scaling;Power law;Temporal scaling;The evolution of cities;Urban growth;Urban sustainability
摘要：
Understanding the co-evolution and organizational dynamics of urban properties (i.e., urban scaling) is the science base for pursuing synergies toward sustainable cities and society. The generalization of urban scaling theory yet requires more studies from various developmental regimes and across time. Here, we extend the universality proposition by exploring the evolution of longitudinal and transversal scaling of Chinese urban attributes between 1987 and 2018 using a global artificial impervious area (GAIA) remotely sensed dataset, harmonized night light data (NTL), and socioeconomic data, and revealed agreements and disagreements with theories. The superlinear relationship of urban area and population often considered as an indicator of wasting land resources (challenging the universality theory β(c) = 2/3), is in fact the powerful impetus (capital raising) behind the concurrent superlinear expansion of socio-economic metabolisms (e.g., GDP, total wage) in a rapidly urbanizing country that has not yet reached equilibrium. Similarly, infrastructural variables associated with public services, such as hospitals and educational institutions, exhibited some deviations as well and were scaled linearly. However, the temporal narrowing of spatial deviations, such as the decline in urban land diseconomies of scale and the stabilization of economic output, clearly indicates the Chinese government's effort in charting urban systems toward balanced and sustainable development across the country. More importantly, the transversal sublinear scaling of areal-based socio-economic variables was inconsistent with the theoretical concept of increasing returns to scale, thus validating the view that a single measurement cannot unravel the intricate web of diverse urban attributes and urbanization. Our dynamic urban scaling analysis across space and through time in China provides new insights into the evolving nexus of urbanization, socioeconomic development, and national policies.
关键词：
chemical pesticides;biopesticides;rice–crayfish integrated system;combination use
摘要：
Biopesticides are perceived as a feasible alternative to chemical pesticides, providing an effective approach to pest management while mitigating the undesirable effects of chemical pesticide overuse. Yet, due to the distinctive attributes of the two types of pesticides, farmers often adopt a combination of both. This study aimed to probe the interdependent relationship underlying the mixed use of chemical pesticides and biopesticides by farmers in the rice–crayfish integrated system (RCIS) in Hubei province, China. We also sought to identify influencing factors and associated consequences of this practice. Given that the adoption of chemical pesticides and biopesticides by farmers is not mutually exclusive, a multivariable probit model was utilized to estimate simultaneous pesticide applications. Survey data from 736 RCIS farmers revealed that 10.50% of the sample farmers employ a combination of chemical pesticides and biopesticides. A substitution relationship was observed between the adoption of chemical pesticides and biopesticides by farmers, whereas no significant complementary relationship was found in the application of the two types of pesticides. The primary motivation for the mixed use of pesticides by farmers is to achieve superior pest control efficacy. Notably, when integrating the use of pesticides, farmers pay less attention to factors such as resource endowments and multiple production objectives. Further analysis indicated that farmers display significant concern for pesticide attributes including insecticidal efficacy, toxicity, insecticidal spectrum, and validity period. The mixed use of pesticides has resulted in a decreased frequency of pesticide application but has escalated the cost. While the mixed use of pesticides elevated the selling price of rice, no significant improvement was observed in yield and output value. The insights garnered from this study offer strategic implications for policymakers on how to enhance the judicious adoption of pesticides by farmers.
