期刊：
Expert Systems with Applications,2025年261:125532 ISSN：0957-4174
通讯作者：
Ruihuan Liu
作者机构：
[Zhao, Chengwei] School of Business, Central South University of Forestry and Technology, Changsha, China;[Liu, Ruihuan] School of Logistics, Central South University of Forestry and Technology, Changsha, China;[Xu, Xuanhua; He, Jishan] School of Business, Central South University, Changsha, China
通讯机构：
[Ruihuan Liu] S;School of Logistics, Central South University of Forestry and Technology, Changsha, China
期刊：
POLISH JOURNAL OF ENVIRONMENTAL STUDIES,2025年34(4):3823-3836 ISSN：1230-1485
通讯作者：
Wang, L
作者机构：
[Wang, Lu] South China Agr Univ, Coll Econ & Management, Guangzhou, Peoples R China.;[Liu, Ziyu] Cent South Univ Forestry & Technol, Business Sch, Changsha, Peoples R China.
通讯机构：
[Wang, L ] S;South China Agr Univ, Coll Econ & Management, Guangzhou, Peoples R China.
关键词：
Agricultural carbon emissions;Green development;Rural land consolidation policy;Spatial difference-in-differences model
摘要：
Reducing agricultural carbon emissions (ACEs) is critical to achieving green agriculture in China. Chinese agriculture has long faced the dilemma of large numbers of people and small landholdings, well as low-quality arable land. As a result, agricultural production relies heavily on inputs of agricultural chemicals to boost yields, damaging the rural environment. In this study, we use provincial panel data from China and a spatial difference-in-differences model to explore the influence of rural land consolidation policy (RLCP) on ACEs and their spatial spillover effects. The results show that the global Moran's of ACEs reflected a downward trend, the spatial correlation gradually weakened, and ACEs developed from a state of polarization to one of balance. RLCP has had a significant reduction and a negative spatial spillover effect on ACEs. Our analysis of the mechanism shows that rural land consolidation promoted the reduction of ACEs by improving the quality of farmland soil and the utilization rate of water resources. Under different geographical conditions, the construction of rural land consolidation has had a significant ACE reduction effect on both the south and the north, although RLCP in southern China has had a negative spatial spillover effect.
作者机构：
[Li, Weisi; Jing, Wenju] Cent South Univ Forestry & Technol, Business Sch, 498 Shaoshan Rd, Changsha 410004, Peoples R China.;[Tian, Yuxin; Deng, N; Deng, Nan] Hunan Acad Forestry, 658 Shaoshan Rd, Changsha 410004, Peoples R China.;[Tian, Yuxin; Deng, N; Deng, Nan] Hunan Cili Forest Ecosyst Natl Observat & Res Stn, Zhangjiajie 427200, Peoples R China.
通讯机构：
[Deng, N ] H;Hunan Acad Forestry, 658 Shaoshan Rd, Changsha 410004, Peoples R China.;Hunan Cili Forest Ecosyst Natl Observat & Res Stn, Zhangjiajie 427200, Peoples R China.
关键词：
ecological service benefit;trade-off analysis;XGBoost;ecological forest
摘要：
Ecosystem services play a crucial role in maintaining ecological balance, providing essential functions. This study examines the trade-offs and synergies among five key ecosystem services in ecological forests across different regions of Hunan Province, China. Various machine learning models are compared to predict ecosystem service value (ESV) levels, with the most effective predictive model identified. The SHAP (SHapley Additive exPlanations) analysis is employed to identify key environmental and management factors influencing ecosystem services. Our findings reveal significant regional variations in ecosystem services, with the eastern and western regions showing superior soil conservation and forest nutrient retention. In contrast, the southern and western regions, particularly karst areas, display fewer trade-offs between ecosystem services, likely due to the effectiveness of ecological policies. SHAP analysis further reveals that factors such as precipitation during the warmest quarter, central government compensation funds, and timber harvesting volume strongly influence regional ESV. This study provides valuable insights for improving ecosystem service management and policy-making in rapidly developing regions, underscoring the importance of ecological protection strategies for sustainable development.
作者机构：
[Baolong Yuan; Sijia Ma; Kun Zhang] School of Business, Central South University of Forestry and Technology, Changsha 410004, PR China
通讯机构：
[Kun Zhang] S;School of Business, Central South University of Forestry and Technology, Changsha 410004, PR China
关键词：
ESG;Innovation;TFP;CDM model;Empowering
摘要：
This study employs an extended CDM (Crépon-Duguet-Mairesse) model to construct a framework for examining the impact of environmental, social, and governance (ESG) practices on corporate total factor productivity (TFP), with a particular focus on the innovation process and “third-order” empowerment. Drawing on data from listed energy-intensive manufacturing firms in China from 2015 to 2020, our findings reveal that: (1) ESG practices play a significant role in stimulating R&D investment, with green finance further reinforcing this effect. (2) Corporate R&D investment exerts a positive impact on both radical and incremental innovation. Additionally, regional human capital combined with R&D investment synergistically enhances the innovation output. (3) Both radical and incremental innovations contribute positively to corporate TFP. However, the expected positive moderating effect of digital transformation on the relationship between innovation output and TFP is not statistically significant. These findings provide valuable insights for improving corporate TFP by strengthening ESG implementation.
This study employs an extended CDM (Crépon-Duguet-Mairesse) model to construct a framework for examining the impact of environmental, social, and governance (ESG) practices on corporate total factor productivity (TFP), with a particular focus on the innovation process and “third-order” empowerment. Drawing on data from listed energy-intensive manufacturing firms in China from 2015 to 2020, our findings reveal that: (1) ESG practices play a significant role in stimulating R&D investment, with green finance further reinforcing this effect. (2) Corporate R&D investment exerts a positive impact on both radical and incremental innovation. Additionally, regional human capital combined with R&D investment synergistically enhances the innovation output. (3) Both radical and incremental innovations contribute positively to corporate TFP. However, the expected positive moderating effect of digital transformation on the relationship between innovation output and TFP is not statistically significant. These findings provide valuable insights for improving corporate TFP by strengthening ESG implementation.
摘要：
Artificial intelligence (AI) technologies have been extensively integrated into marketing practices, with virtual anchors emerging as novel tools. However, the existing research has rarely explored the optimal message strategies that different types of anchors should employ. By implementing two online scenario-based experiments and one laboratory experiment, this study investigates the matching effect between anchor type (virtual vs. human) and message assertiveness (assertive vs. non-assertive) on purchase intention, unveiling the distinct arousal mechanisms underlying these effects. The results indicate that the interaction between the anchor type and message assertiveness positively influences purchase intention, mediated by two emotional responses: excitement and relaxation. Specifically, virtual anchors that use assertive messages evoke higher levels of excitement among consumers, thereby increasing purchase intention. Conversely, human anchors that employ non-assertive messages induce greater relaxation, leading to increased purchase intention. These findings add to the literature on live marketing and AI-driven marketing communications. Additionally, they offer practical guidance for optimizing message strategies tailored to virtual and human anchors, thereby advancing the strategic design of live-streaming marketing campaigns.
Artificial intelligence (AI) technologies have been extensively integrated into marketing practices, with virtual anchors emerging as novel tools. However, the existing research has rarely explored the optimal message strategies that different types of anchors should employ. By implementing two online scenario-based experiments and one laboratory experiment, this study investigates the matching effect between anchor type (virtual vs. human) and message assertiveness (assertive vs. non-assertive) on purchase intention, unveiling the distinct arousal mechanisms underlying these effects. The results indicate that the interaction between the anchor type and message assertiveness positively influences purchase intention, mediated by two emotional responses: excitement and relaxation. Specifically, virtual anchors that use assertive messages evoke higher levels of excitement among consumers, thereby increasing purchase intention. Conversely, human anchors that employ non-assertive messages induce greater relaxation, leading to increased purchase intention. These findings add to the literature on live marketing and AI-driven marketing communications. Additionally, they offer practical guidance for optimizing message strategies tailored to virtual and human anchors, thereby advancing the strategic design of live-streaming marketing campaigns.
摘要：
The promotion of carbon reduction in the private car sector is crucial for advancing sustainable transportation development and addressing global climate change. This study utilizes vehicle trajectory big data from Guangdong Province, China, and employs machine learning, an LDA topic model, a gradient descent-based fuzzy cognitive map model, and grey correlation analysis to investigate the influencing factors and emission reduction pathways of carbon emissions from private cars. The findings indicate that (1) population density exhibits the strongest correlation with private car carbon emissions, with a coefficient of 0.85, rendering it a key factor influencing emissions, (2) the development of public transportation emerges as the primary pathway for carbon reduction in the private car sector under a single-factor scenario, and (3) coordinating public transport with road network density and fuel prices with traffic congestion are both viable pathways as well for reducing carbon emissions in the private car sector. This study attempts to integrate multiple factors and private car carbon emissions within a unified research framework, exploring and elucidating carbon reduction pathways for private cars with the objective of providing valuable insights into the green and low-carbon transition of the transportation sector.
作者机构：
[Chen, Wenjie; Yang, Yisong; Yang, YS] Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.
通讯机构：
[Yang, YS ] C;Cent South Univ Forestry & Technol, Business Coll, Changsha 410004, Peoples R China.
关键词：
carbon emission trading policy;autonomy and controllability of green enterprises;green exploratory innovation;green exploitative innovation;chain-mediating effects
摘要：
Enhancing the Autonomy and Controllability of green enterprises is crucial for promoting the sustainable development of a green, low-carbon economy. Carbon trading policy has garnered widespread attention across China, offering a novel approach to enhancing the capabilities of Chinese green enterprises. This study aims to explore the impact of carbon trading policies on the Autonomy and Controllability of green enterprises. By introducing the mediating variable of Green ambidextrous innovation, the action mechanism between carbon trading policies and the Autonomy and Controllability of green enterprises is analyzed. In addition, the internal action mechanism of Green ambidextrous innovation is revealed, providing a reference for improving the Autonomy and Controllability of green enterprises and building a global safe and controllable green supply chain. Drawing on data from 126 publicly-listed green companies in China, this study constructs a chain mediation framework based on the logic of “Carbon Trading Policy—Green ambidextrous innovation—Autonomy and Controllability of Green Enterprises.” Utilizing the DID methodology, the analysis explores the impact and mechanisms of the carbon trading policy on green enterprises’ Autonomy and Controllability. The findings indicate that the carbon trading policy significantly enhances the Autonomy and Controllability of green enterprises. Mechanistic analysis reveals that the policy boosts the controllability of green enterprise customers through Green ambidextrous innovation, although its effect is not significant. Additionally, the study identifies internal mechanisms within Green ambidextrous innovation that influence these capabilities. Heterogeneity analysis shows that the carbon trading policy has a particularly pronounced effect on the Autonomy and Controllability of green enterprises in western China and is more impactful for green factories compared to green supply chain enterprises.
作者机构：
[Song, Min] Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.;[Lai, Yongzeng] Wilfrid Laurier Univ, Dept Math, Waterloo, ON N2L 3C5, Canada.;[Li, Lin; Song, Min; Li, L] Hunan Univ, Business Sch, Changsha 410082, Peoples R China.
通讯机构：
[Li, L ] H;Hunan Univ, Business Sch, Changsha 410082, Peoples R China.
关键词：
Collaborative governance;Ecological compensation;Cost sharing;Dynamically consistent;Differential games
摘要：
Regional environmental collaborative governance is an effective way of addressing increasingly complex and severe environmental pollution. This study constructs a differential game model for regional collaborative governance consisting of the central government and two heterogeneous local governments. From a dynamic game perspective, we compare and analyze the game equilibrium solutions of each participant under five scenarios: noncooperation, vertical compensation, horizontal compensation, comprehensive compensation, and collaborative governance. In addition, this study constructs a dynamically consistent cost-sharing scheme that considers each participant’s fairness concerns. The results indicate that compared to non-cooperative situations, vertical, horizontal, and comprehensive ecological compensation mechanisms achieve a reduction in pollution emission levels and costs as well as an increase in emission reduction efforts in underdeveloped areas. Second, the effect of comprehensive ecological compensation is better than that of horizontal compensation, which is superior to the effect of vertical compensation. Third, compared to ecological compensation mechanisms, the collaborative governance model is more effective in pollution control, not only in improving central government intervention and the pollution reduction level of local governments, but also in reducing governance costs. Finally, the bargaining power and degree of fairness concern for each player can affect the cost-sharing ratio. Additionally, underdeveloped regions tend to form alliances with developed regions and negotiate with the central government to reduce pollution control costs. The research conclusions can provide a theoretical reference for improving ecological compensation mechanisms and strengthening the long-term mechanisms of regional collaborative governance.
Regional environmental collaborative governance is an effective way of addressing increasingly complex and severe environmental pollution. This study constructs a differential game model for regional collaborative governance consisting of the central government and two heterogeneous local governments. From a dynamic game perspective, we compare and analyze the game equilibrium solutions of each participant under five scenarios: noncooperation, vertical compensation, horizontal compensation, comprehensive compensation, and collaborative governance. In addition, this study constructs a dynamically consistent cost-sharing scheme that considers each participant’s fairness concerns. The results indicate that compared to non-cooperative situations, vertical, horizontal, and comprehensive ecological compensation mechanisms achieve a reduction in pollution emission levels and costs as well as an increase in emission reduction efforts in underdeveloped areas. Second, the effect of comprehensive ecological compensation is better than that of horizontal compensation, which is superior to the effect of vertical compensation. Third, compared to ecological compensation mechanisms, the collaborative governance model is more effective in pollution control, not only in improving central government intervention and the pollution reduction level of local governments, but also in reducing governance costs. Finally, the bargaining power and degree of fairness concern for each player can affect the cost-sharing ratio. Additionally, underdeveloped regions tend to form alliances with developed regions and negotiate with the central government to reduce pollution control costs. The research conclusions can provide a theoretical reference for improving ecological compensation mechanisms and strengthening the long-term mechanisms of regional collaborative governance.
作者机构：
[Xiong, Lixin; Liu, Shengqi; Xiong, LX; Liu, Ban; Mai, Wei] Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.;[Xiong, Lixin; Xiong, LX] Bangor Univ, Business Sch, Bangor LL57 2DG, Wales.
通讯机构：
[Xiong, LX ] C;Cent South Univ Forestry & Technol, Business Sch, Changsha 410004, Peoples R China.;Bangor Univ, Business Sch, Bangor LL57 2DG, Wales.
关键词：
Coordinated pollution and carbon reduction;Enterprise digital transformation (EDT);Yangtze River Economic Belt (YREB)
摘要：
Under the "dual carbon" goals, heavily polluting enterprises face dual pressures to reduce both pollution and carbon emissions, necessitating the urgent exploration of effective pathways for coordinated emission reductions. This study investigates the potential of digital transformation in enterprises to achieve synergistic emission reductions. First, the entropy method is employed to measure enterprise digitalization and pollutant levels, and the spatial-temporal evolution characteristics of regional coordinated emission reductions are analyzed. Subsequently, using panel data from heavily polluting enterprises in the Yangtze River Economic Belt, the study examines the impact of digital transformation on pollution and carbon reduction, its underlying mechanisms, and the moderating effects of environmental policies on these relationships. Robustness tests confirm the synergy between carbon and pollution emissions. The findings reveal that digital transformation contributes to the synergistic reduction of carbon and pollutant emissions in enterprises, primarily through two pathways: the coordinated integration of internal innovation resources and the collaborative engagement in external innovation networks. Furthermore, air pollution control policies and low-carbon city initiatives significantly enhance the synergistic emission reduction effects of digitalization. Interestingly, heavily polluting enterprises located in the downstream regions of the Yangtze River, those with smaller operational scales, or those facing strong financing constraints, demonstrate more pronounced synergistic emission reduction effects through digital transformation. Based on these conclusions, we recommend that governments focus on strengthening either "pollution reduction" or "carbon reduction" policies, as either alone can yield dual emission reduction benefits. Additionally, tailoring regional emission reduction policies to local conditions can maximize economic and environmental benefits.
摘要：
PURPOSE: Health crises and disease outbreaks can trigger public fear, leading to behaviors such as panic buying. It's crucial to learn from past outbreaks and identify factors that can curb panic buying, enabling more effective management of this phenomenon. Although mindfulness has been shown to influence individual consumption behavior, no research to date has explored its association with panic buying. This research utilizes terror management theory to investigate the influence of mindfulness, as a personality trait, on panic buying during a health crisis, and to explore the sequential mediating roles of social alienation and death anxiety. METHODS: A two-wave survey was administered to 342 Chinese college students during the COVID-19 outbreak. Initially, students provided their mindfulness levels and demographic information. A week later, participants who had completed the first wave reported their panic buying intentions, social alienation, and death anxiety. RESULTS: Structural Equation Modeling analysis revealed a negative relationship between mindfulness and panic buying, with social alienation and death anxiety acting as both parallel and serial mediators in this relationship. CONCLUSION: Our research deepens the understanding of mindfulness from a consumer behavior perspective, fills a gap in the study of mindfulness and panic buying, and uncovers the "black box" of this relationship. The findings highlight the potential of mindfulness in mitigating panic buying during crises, offering practical implications for managing pandemic-related challenges and providing valuable insights for future research on mindful consumption.
作者机构：
[Huang, Qian; Pan, Shuangli; Liao, Huiyu; Jiang, Zehua] Cent South Univ Forestry & Technol, Sch Logist, Changsha, Hunan, Peoples R China.;[Zheng, Guijun] Cent South Univ Forestry & Technol, Business Sch, Changsha, Hunan, Peoples R China.;[Pan, Shuangli] Hunan Key Lab Intelligent Logist Technol, Changsha, Hunan, Peoples R China.
通讯机构：
[Pan, SL ] C;Cent South Univ Forestry & Technol, Sch Logist, Changsha, Hunan, Peoples R China.;Hunan Key Lab Intelligent Logist Technol, Changsha, Hunan, Peoples R China.
摘要：
The effective circulation of fresh agricultural products is conducive to increasing farmers' income and improving the living standards of urban residents. Cold chain storage facilities in agricultural producing areas play an important role in ensuring the quality of agricultural products, extending the freshness period of goods, and improving logistics efficiency. Different types of fresh produce have different requirements for refrigeration and often require transshipment due to quantity constraints. In addition, there are economies of scale in the construction and operation of cold chain storage facilities. Based on the above considerations, with the aim of minimizing the total daily cost, an optimization model for the layout of multi-level cold chain storage facilities is established to determine the number, location, type and capacity of cold chain storage facilities at the same time. Genetic algorithm is chosen to solve the model according to the characteristics of the model. Taking J County of China as an example, the model is proved to have strong operability and applicability. It is of guiding significance and reference value to optimize the layout of cold chain storage facilities in rural areas.
摘要：
为探究中国农业碳排放的时空分布特征及驱动因素,基于2000—2021年中国31个省(自治区、直辖市,不包括香港、澳门和台湾,下同)统计年鉴数据,考察水利用、土地利用和能源消耗的碳排放,利用联合国政府间气候变化专门委员会(IPCC)碳排放因子建立2000—2021年水、土地和能源3个子系统相关变量,计算各省(自治区、直辖市)农业年碳排放总量,结合莫兰指数对农业碳排放时空演变趋势及空间关联特征进行分析,并运用对数均值迪氏分解法(Logarithmic Mean Divisia Index,简称LMDI)探析农业碳排放的主要驱动因素。结果表明:1)从时序变化看,农业碳排放量整体呈倒“V”型变化趋势。2)从农业碳排放来源看,农业源碳排放中源于化肥的碳排放占比最高。3)从农业碳排放空间差异看,碳排放较大的省份(自治区、直辖市)主要集中在黄淮海区域以及中部平原等水土资源条件丰富且优质的地区,西部地区与部分直辖市(北京、上海、天津)农业碳排放量较少,高农业碳排放地区存在向北蔓延的趋势。4)农业碳排放在空间上具有集聚效应,且随着时间推移,集聚效应的显著性有所下降,其中河南、安徽、山东等省份(自治区、直辖市)具有显著的“高-高集聚”效应,北京、天津、青海等省份(自治区、直辖市)具有显著的“低-低集聚”效应。5)农业水资源经济产出因素和农业劳动力密集度因素为正向驱动因素,农业水资源经济产出因素为中国农业碳排放增加的最主要因素;农业生产效率因素、劳动力规模因素和农业水土匹配度因素为碳排放负向驱动因素,其中农业生产效率因素的碳减排贡献率最高,为中国农业碳排放减少的最主要驱动因素。基于以上结果,本文针对中国农业碳减排提出以下建议:政府应加大对低碳农业的投入,支持新型肥料和新能源农机的研发,提高水土资源利用效率。同时,要利用农业碳排放的集聚效应,推动农业集中发展和区域间合作,培养新型农业人才。
摘要：
Excessive fertilizer input and inefficient utilization in agricultural production have caused significant negative environmental impacts. Based on provincial panel data in China from 2005 to 2021, this study adopts the full-cost insurance pilot launched in 2018 and uses the DID method to empirically analyze its impact on fertilizer application intensity and utilization efficiency. The study reveals the following findings: (1) Implementing full-cost insurance can reduce fertilizer application intensity by 21.761% and increase utilization efficiency by 1.915%. (2) Full-cost insurance reduces fertilizer application intensity and improves fertilizer utilization efficiency by expanding the land scale and reducing the agricultural labor force. (3) Full-cost insurance significantly improves fertilizer utilization efficiency in high-risk and low-risk areas. Nevertheless, while the policy significantly reduces fertilizer application intensity in high-risk areas, its effect on low-risk areas is not apparent. (4) Full-cost insurance has an environmental protection effect. It can significantly reduce 11.593% of nitrogen pollution emissions, 2.577% of phosphorus pollution emissions, and 35.400% of equivalent pollution emissions. The implementation of full-cost insurance plays an important role in reducing fertilizer use and improving utilization efficiency. So, we should continue to intensify the promotion of full-cost insurance policy to fully leverage the advantages of agricultural insurance and promote sustainable agricultural development.
