作者：
Yanping Gong;Rong Huang;Zhuo Chen*;Yongdan Liu;Yuxuan Tan
期刊：
Journal of Retailing and Consumer Services,2025年85:104286 ISSN：0969-6989
通讯作者：
Zhuo Chen
作者机构：
[Yanping Gong; Rong Huang; Yongdan Liu] School of Business, Central South University, Changsha, 410083, China;[Zhuo Chen] School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330032, China;[Yuxuan Tan] School of Business, Central South University of Forestry and Technology, Changsha, 410004, China
通讯机构：
[Zhuo Chen] S;School of Business Administration, Jiangxi University of Finance and Economics, Nanchang 330032, China
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.
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：
[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：
[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.
期刊：
Expert Systems with Applications,2024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
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.
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：
Agricultural science and technological innovation (ASTI) provides important opportunities to enhance agricultural welfare. Based on comparative advantage, value chain, and resource dependence theories, this study employed a variety of econometric models, including fixed effects (FEs), panel-corrected standard errors (PCSEs), feasible generalized least squares (FGLSs), and the systematic generalized method of moments (SYS-GMM), to investigate the impacts of ASTI on farmers' income using data from a panel of 31 Chinese provinces spanning from 2012 to 2021. Our results reveal that ASTI contributes significantly positively to income growth, but its effects are not uniform: the central and western regions benefit more from ASTI compared to the eastern region. Moreover, as the level of ASTI increases, its positive impact on income growth diminishes. However, regions with higher levels of rural human capital-measured by educational attainment and skills-experience a more pronounced amplification of ASTI's benefits on income. Additionally, aging populations in both urban and rural areas initially enhance the influence of ASTI on farmers' income, but this effect diminishes as demographic gaps widen.
摘要：
Ecological security pattern (ESP) represents a sound spatial arrangement of ecosystem occurring in landscape. The research on the optimization of ESP aims to improve and restore the ecosystem functions by rationally allocating and optimizing the ecological elements based on the key ecological issues. Constructing and optimizing ESP can enhance the connectivity of regional habitat patches, which is of great significance for protecting and restoring biodiversity, improving ecosystem stability and resilience, and achieving regional sustainable development. However, it is a challenging task to systematically improve the connectivity and resilience of regional ecological networks under attacks. Little research has been done on enhancing the resilience of ecological networks under edge-based attacks. Based on morphological spatial pattern analysis (MSPA), minimum cumulative resistance (MCR) and greedy algorithm (GA) models, this study presents a new method to construct and optimize ESP. The Dongting Lake Basin in China, which is a typical region with rich biodiversity, complex landscape patterns, and intensive human activities, is taken as an example. The results indicate that the optimization of the ecological network has improved its connectivity by 51.62%, its robustness against random edge-based attacks by 41.13%, and its robustness against targeted edge-based attacks by 43.41%, relative to the initial ecological network. Monte Carlo test verifies the reliability of the optimization solution. The proposed method can be used for finding the network structure with the best robustness for specific edge-based attacks, and it provides valuable decision-making reference for ecological land planning and biodiversity conservation.
Ecological security pattern (ESP) represents a sound spatial arrangement of ecosystem occurring in landscape. The research on the optimization of ESP aims to improve and restore the ecosystem functions by rationally allocating and optimizing the ecological elements based on the key ecological issues. Constructing and optimizing ESP can enhance the connectivity of regional habitat patches, which is of great significance for protecting and restoring biodiversity, improving ecosystem stability and resilience, and achieving regional sustainable development. However, it is a challenging task to systematically improve the connectivity and resilience of regional ecological networks under attacks. Little research has been done on enhancing the resilience of ecological networks under edge-based attacks. Based on morphological spatial pattern analysis (MSPA), minimum cumulative resistance (MCR) and greedy algorithm (GA) models, this study presents a new method to construct and optimize ESP. The Dongting Lake Basin in China, which is a typical region with rich biodiversity, complex landscape patterns, and intensive human activities, is taken as an example. The results indicate that the optimization of the ecological network has improved its connectivity by 51.62%, its robustness against random edge-based attacks by 41.13%, and its robustness against targeted edge-based attacks by 43.41%, relative to the initial ecological network. Monte Carlo test verifies the reliability of the optimization solution. The proposed method can be used for finding the network structure with the best robustness for specific edge-based attacks, and it provides valuable decision-making reference for ecological land planning and biodiversity conservation.
