摘要：
Accelerating the recycling of livestock and poultry manure is an important direction to control nonpoint-source pollution in the middle and lower reaches of the Yangtze River. Based on evolutionary game theory, this study analyzes the complex behavioral interaction between farmers and breeding enterprises. We define the ideal scenarios and clarify the influence of key variables on the equilibrium results. The results show the following: (1) Replication dynamic analysis and an evolution phase diagram show that the optimal behavior strategy of farmers and breeding enterprises is organic fertilizer and recycling, and the evolutionary game between the parties tends toward the optimal solution. (2) When the government subsidy was
$$\mu \hspace{0.17em}$$
= 0.55, farmers’ and breeding enterprises’ strategies tend to reach the optimal equilibrium the fastest after 3weeks and 1week, respectively; when government administrative efficiency was
$$k\hspace{0.17em}$$
= 5, farmers’ and breeding enterprises’ strategies tend to reach the optimal equilibrium the fastest after 10weeks and 1week, respectively. (3) Taking Anhua County of Hunan Province as an example, during the period of 2018–2020, the subsidy standard gradually increased from 25 to 45%, and the administrative efficiency increased by 63.3%. The enterprises involved in reconstruction to recycle waste increased by 218.9% and 132.2% in 2018–2019 and 2019–2020, respectively, which verifies the effectiveness of the evolutionary equilibrium results. The conclusions of this study can provide a reference for decision making regarding the fecal waste recycling of breeding enterprises and farmers.
摘要：
Analyzing and investigating the impact of implementing an environmental policy mix on carbon emission from private cars and social welfare holds significant reference value. Firstly, based on vehicle trajectory big data, this paper employs reverse geocoding and artificial neural network models to predict carbon emissions from private cars in various provinces and cities in China. Secondly, by simulating different scenarios of carbon tax, carbon trading, and their policy mix, the propensity score matching model is constructed to explore the effects of the policy mix on carbon emission reduction from private cars and social welfare while conducting regional heterogeneity analysis. Finally, policy proposals are proposed to promote carbon emission reduction from private cars and enhance social welfare in China. The results indicate that the environmental policy mix has a significant positive impact on carbon emission reduction from private cars and social welfare. Furthermore, in the regional heterogeneity analysis, the implementation of the policy mix in eastern regions has a significant positive effect on both carbon emission reduction from private cars and social welfare, while in central and western regions, it shows a significant positive impact on social welfare but has no significant effect on carbon emission reduction in the private car sector.
期刊：
International Journal of Environmental Research and Public Health,2023年20(4):3562- ISSN：1661-7827
通讯作者：
Shengjie Wang
作者机构：
[Jiayue Li] School of Business, Central South University of Forestry and Technology, Changsha 410004, China;College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China;Author to whom correspondence should be addressed.;[Junyuan Zhao] School of Business, Xinyang College, West Section of Xinqi Avenue, Shihe District, Xinyang 464000, China;[Shengjie Wang] College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China<&wdkj&>Author to whom correspondence should be addressed.
通讯机构：
[Shengjie Wang] C;College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
tourism eco-security;spatial–temporal evolution mode;DPSIR model;influencing factors;the Yellow River basin
摘要：
Tourism eco-security evaluation is an effective tool for facilitating the coordinated and sustainable economic and environmental development of tourist destinations. Based on system theory, this study established a comprehensive evaluation index system for the DPSIR model, applying the entropy–TOPSIS method, spatial autocorrelation, spatial econometric model and geo-detector to investigate the spatial and temporal evolution and drivers of tourism eco-security of the Yellow River basin. The results showed that the tourism eco-security of the Yellow River basin steadily and significantly increased from 2003 to 2020, reaching a peak in 2019, while there was a low level of overall tourism eco-security and improvement possibility. The results show a spatial evolution pattern of expansion from provincial capital cities to nearby prefecture-level cities from the middle and lower reaches to the middle and upper reaches, with significant spatial clustering and spillover effects. Factors affecting the tourism eco-security of the Yellow River basin vary in and between regional basins. Because there are many influencing factors, the key factors were further identified by spatial effect decomposition. The results of this study have important theoretical and practical value in promoting the coordinated and sustainable development of the tourism economy and ecological environment in the Yellow River basin.
作者机构：
[Wang, Rong] Cent South Univ Forestry & Technol, Sch Furniture & Art Design, Changsha 410004, Peoples R China.;[Chen, Wenhao; Wang, Jinlong] Cent South Univ Forestry & Technol, Sch Business, Changsha 410004, Peoples R China.
通讯机构：
[Chen, WH ] C;Cent South Univ Forestry & Technol, Sch Business, Changsha 410004, Peoples R China.
关键词：
production-living-ecological space;Dongting Lake area;ecosystem services;farming household livelihood security;coupling coordination
摘要：
Ecosystem services (ESs) are an important basis for maintaining farming household livelihood security and achieving the synergistic and efficient development of ecosystem services, and farming household livelihood security is important for maintaining sustainable development in the region. However, it is difficult to quantify the level of the coordinated development of ESs and farming household livelihood security in a region and their dynamic evolution. This study systematically analyzes the spatio-temporal evolution of the production-living-ecological space, ecosystem service values, and farming household livelihood security in the Dongting Lake from 2000 to 2020 based on land use data, as well as the level of coordinated development of ESs and livelihood security of farmers. The results indicate that more than 80% of the Dongting Lake area has a low level of coordinated development of ESs and farming household livelihood security at or below the level of imminent disorder, but it is on the rise, increasing by 6.32% in the past twenty years. This study can provide a reference for decision-making on the coordinated development of ecological environment and farmers' livelihoods in the Dongting Lake area.
作者机构：
[Chen, Wenjie; Wu, Xiaogang] Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.;[Xiao, Zhu] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
通讯机构：
[Wu, XG ] C;Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.
关键词：
built environment;private car;cross-district mobility;carbon emission network;central urban area
摘要：
The realization of the "double carbon" goals and the development of green transportation require a focused approach to reducing carbon emissions from private cars. Starting from the perspective of social network analysis, this paper constructs the carbon emission network of private car cross-district mobility based on vehicle trajectory big data in Guangzhou and Foshan and analyzes its spatial network characteristics. Next, the MRQAP model is constructed to examine the impact of built environment factors on carbon emissions from private cars. Furthermore, the paper explores the moderating effect of private car mobility in the central urban area. The results indicate the following: (1) Private vehicle cross-district mobility in the Guangzhou and Foshan region are closely interconnected and exhibit a phenomenon of central clustering. (2) Both population density and the number of road intersections have a positive relationship with private car carbon emissions, and after a series of robustness tests, the results are still valid. (3) Private vehicle mobility in central urban areas contributes to an increase in carbon emissions, and the positive impact is reinforced by population density, while road intersections and private car mobility in central urban areas have a substitutive effect on private car carbon emissions.
