摘要：
Rice-crayfish coculture systems (RCSs) have been widely promoted in China as an efficient circular agriculture model that can simultaneously improve rice quality, raise the efficiency of utilization of resources, and increase farmers' incomes. However, the herd behavior of farmers in the adoption of the rice-crayfish coculture system warrants more attention, as the rational adoption of this system by farmers is a prerequisite for achieving the above objectives. This paper analyses the formation mechanism of farmers' herd behavior based on information cascade theory. Using micro-survey data from 603 farmers in China and a bivariate probit model, we examine the existence of herding effects in the adoption of RCSs by farmers and the inhibitory effect of information acquisition capability on herd behavior. To address possible endogeneity issues, we also conducted a robustness test using the IV-probit model. Furthermore, we tested for between-group differences in agricultural income between farmers with herding adoption and non-herding adoption. The study reveals that the larger the number of prior adopters, the higher the probability of blind adoption behavior by farmers, indicating the existence of a herd effect. Information acquisition ability could significantly inhibit the herd behavior of farmers in the adoption of RCSs. We also found that farmers' herd behavior in the adoption of these systems was not economically rational. Based on the research findings, we proposed several constructive suggestions for policy perfection.
期刊：
International Journal of Environmental Research and Public Health,2023年20(6):4835- ISSN：1661-7827
通讯作者：
Ling Yang
作者机构：
[Jinlong Wang] College of Business, Central South University of Forestry and Technology, Changsha 410004, China;Author to whom correspondence should be addressed.;[Huafei Que] Hunan Sports Vacational College, Changsha 410019, China;[Rong Wang] College of Fumiture and Art Design, Central South University of Forestry and Technology, Changsha 410004, China;[Yu Han] College of Economics and Management, Southwest University, Chongqing 400715, China
通讯机构：
[Ling Yang] C;College of Business, Central South University of Forestry and Technology, Changsha 410004, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
land-use change;carbon storage;PLUS model;gray prediction;Dongting Lake Basin
摘要：
High-frequency land-use changes caused by rapid economic development have become a key factor in the imbalance of carbon sequestration within regions. How to balance economic development and ecological protection is a difficult issue for regional planning. Studying the relationship between future land-use changes and ecosystem carbon storage (CS) is of important significance for the optimization of regional land-use patterns. The research used the gray prediction model and coupled the patch-generating land-use simulation (PLUS) model and the integrated valuation of ecosystem services and trade-offs (InVEST) model. On this basis, the evolution characteristics and spatial coordination between land-use changes and CS in the Dongting Lake Basin (DLB) in different scenarios in 2030 were simulated. The results show that: (1) The spatial distribution of CS remains stable in different scenarios, while land-use types with high carbon density in the periphery of cities are constantly invaded by construction land, which results in the greatest carbon loss in the urban areas. (2) Compared with the natural evolution scenario (NES), only 195.19 km2 of land-use types with high carbon density are transformed into construction land in the ecological protection scenario (EPS), generating a carbon sink gain of 182.47 × 104 Mg. Conversely, in the economic development scenario (EDS), a total of over 1400 km2 of farmland and ecological land are transformed into construction land, which weakens the carbon sequestration capacity of ecosystems, and more than 147 × 104 Mg of carbon loss occurs in the urban areas. (3) The planned development scenario (PDS) takes ecological protection and economic development both into consideration, which not only generates a carbon sink gain of 121.33 × 104 Mg but also reduces the carbon loss in urban areas by more than 50%. The PDS performs well in both land use and CS growth and can better motivate the effect of land-use changes in increasing the carbon sink, which is also proved by analysis of the coordination between land-use intensity (LUI) and CS. Therefore, the PDS better satisfies the future development demand of DLB and can provide a reference for sustainable land use in the basin.
期刊：
Journal of Cleaner Production,2023年410:137205 ISSN：0959-6526
通讯作者：
Zhang, YL
作者机构：
[Zhang, Yalian; Hu, Hexiao; Wang, Cao; Zhang, Qihang] Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.;[Guo, Xin] Univ West Scotland, Sch Business & Creat Ind, Glasgow, Scotland.
通讯机构：
[Zhang, YL ] C;Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.
关键词：
Accountability audit of natural resource;Pollution reduction;Local government environmental regulatory;behaviour
摘要：
For many years, the lack of environmental supervision by local governments has been a challenge for China's environmental governance. In the process of promoting green development, the system of accountability audit of natural resource (AANR for short), which has a supervisory role, is an innovative policy attempt with Chinese characteristics, and pollution emissions are a key factor in assessing the effectiveness of the policy. Based on 2012–2017 panel data from 30 provincial regions, this research empirically investigates the effectiveness of AANR in treating pollution and improving air quality using the difference-in-difference model using the AANR pilot project launched in 2015. The results show that AANR can significantly reduce industrial wastewater and sulfur dioxide emissions and improve air quality in the long term. Meanwhile, AANR can improve the environmental regulating behaviour of local governments, which serves in part as an intermediate. This study recommends enhancing the necessary evaluation standards, promoting the standardisation and institutionalisation of AANR, and implementing big data audit techniques to further boost the promotion effect of AANR on pollution reduction. This research innovatively incorporates accountability audit of natural resource, government environmental regulation and pollution abatement into the same research system, providing theoretical and practical references for achieving green development and building a high-quality modern economic system.
期刊：
Expert Systems with Applications,2023年221:119752 ISSN：0957-4174
通讯作者：
Xu, Xuanhua(xuxh@csu.edu.cn)
作者机构：
[Zhao, Chengwei] Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.;[He, Jishan; Xu, Xuanhua] Cent South Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.;[Liu, Ruihuan] Cent South Univ Forestry & Technol, Sch Logist & Transportat, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Xuanhua Xu; Ruihuan Liu] S;School of Business, Central South University, Changsha 410083, China<&wdkj&>School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha 410004, China
关键词：
Attribute interaction;Choquet integral;Heterogeneous preferences;Multi-attribute group decision-making;Shapley-based dynamical variable weights
摘要：
Achieving carbon neutrality requires high efficiency in agricultural carbon emissions. This study employs a super efficiency Slack Based Measure-Data Envelopment Analysis (SBM-DEA) model to measure the Agricultural Carbon Emission Efficiency (ACEE) of 31 provinces, cities, and autonomous regions within the Chinese Mainland from 2001 to 2021. Additionally, it utilizes the modified gravity model and a social network analysis to establish the spatial correlation relationship of ACEE, and extensively investigates the characteristics and transmission mechanism of China's spatial correlation network structure regarding ACEE. The findings reveal the following: 1) The spatial correlation relationship of China's ACEE from 2001 to 2021 exhibits a complex network structure; 2) in terms of the overall network structure characteristics of the spatial correlation, the ACEE network demonstrates a high degree of correlation and displays a stable temporal evolution trend; 3) concerning the centrality network structure characteristics of the spatial correlation, most provinces in China experience a continuous decline in point centrality and near centrality, while the interdependence of the ACEE between provinces increases; and 4) regarding the clustering characteristics of the spatial correlation, variations exist in the correlation among the four plates of the ACEE. However, they mostly assume a mediating role, and in 2021, the ACEE network sectors witnessed a robust interoperability.
