Visually suboptimal produce refers to produce with certain aesthetic imperfections. In contrast to premium produce, consumers often underestimate the perceived quality of suboptimal produce, leading to reluctance to purchase and resulting in considerable waste and subsequent environmental issues. We observed that production information for suboptimal produce may contain elements of psychological distance, which could serve as a novel factor in promoting consumer purchases of these products. To explore this, we conducted three online experiments to investigate the impact of spatial and social distances on consumers' purchase intentions. Drawing on Construal Level Theory (CLT) and validated through experiments, our findings indicate that consumers are more likely to choose suboptimal produce with psychologically proximal. Additionally, psychological ownership and perceived quality serve as sequential mediators between psychological distance and purchase intentions, a psychological mechanism that is unique to suboptimal produce (i.e., this effect does not apply to premium produce). Furthermore, we incorporated the concept of information framing, a commonly used tool in previous studies, into the discussion of psychological mechanisms to further clarify its operational process. The results provide new theoretical and practical insights for the market promotion of suboptimal produce.

Love is fundamental to human nature, transcending race and nation, with descriptions rooted in diverse cultural backgrounds. Thanks to some past research, the concept of love has evolved from abstract to concrete, making it increasingly “measurable.” Emerging studies focus on applying love, but research on how feeling loved influences green food purchase intention is still nascent. On the foundation of the Broaden-and-Build Theory, a research framework was created. It delves into how the emotion of love affects consumers’ purchase intention for green food. It uncovers the roles of self-esteem and social crowding in this process. The findings reveal that individuals’ increased green food purchase intention when feeling loved is particularly pronounced in less crowded environments and is achieved by boosting their self-esteem. Additionally, the study provides a deeper understanding of the impact of feeling loved on food marketing practices.

This study proposes an IoT-enabled artificial intelligence model to achieve coordinated ecological and socio-economic development in Fujian Province, China. By integrating real-time environmental monitoring through IoT sensor networks with Gradient Boosting Machine (GBM) algorithms, the framework provides dynamic assessment and prediction of ecological and economic indicators. A dual-layer evaluation index system, constructed using the entropy weight method, captures the interdependencies between environmental quality and economic growth. Empirical results from 2010–2020 show that the proposed model achieves high predictive accuracy (95.8%) and effectively identifies stages of ecological-economic coordination. The findings reveal a steady improvement in regional collaboration, with Fujian moving toward coordinated development despite ecological pressures. The study contributes to agricultural and environmental information systems by offering a replicable, data-driven approach that supports sustainable planning and policy-making.

Tax policymaking in China has created conditions for local governments to strategically leverage tax policies (e.g. tax preferences, tax collection and management efficiency, and fiscal subsidies) to have carbon dioxide (CO2) emissions peak before 2030 and carbon neutrality before 2060. By constructing an endogenous growth model with tax competition, capital mobility, technological innovation, and carbon emissions, this study investigates how tax competition is influencing firm-level behaviour and providing climate-relevant policy implications. It has theoretically demonstrated that this effect depends on technological innovation and operates through the capital mechanism. This finding is empirically confirmed in this analysis using a spatial panel threshold model with fixed effects designed to fit a balanced provincial panel dataset in China over the period 2005-2018. The main results are fourfold. First, provinces with similar carbon emissions intensity (CEI) tend to cluster spatially. That is, a province with a high CEI usually has neighbours with high CEIs. Second, a threshold effect is confirmed, revealing that higher tax collection and management efficiency (lower tax competition) decreases CEI if technological innovation is below the threshold value; otherwise, lower tax competition usually increases CEI. Third, capital mobility is a potential mechanism through which tax competition influences CEI. Specifically, provinces with a high level of technological innovation attract more knowledge- and technology-intensive firms and crowd out firms with low innovation capacities, potentially reducing local CEI. Finally, as indicated in our spatial heterogeneity analysis, the effect of higher tax competition decreasing CEI is only observed in the western region. These findings suggest the need for cross-provincial collaboration in developing taxation policies to ensure these policies help to advance the transition to a low-carbon economy and raise capital entry barriers for high-carbon emission projects in provinces with a low level of technological innovation. Key policy insights: Cross-provincial taxation policies can be designed to encourage the transition to a low-carbon economy due to spatial agglomeration and heterogeneity of carbon emissions intensity (CEI). The focus of tax competition should be knowledge- and technology-intensive firms with a high level of technological innovation. Tax competition can be relaxed in China's provinces with a low level of technological innovation to reduce CEI; otherwise, it should be strengthened. The central government in China could usefully raise capital entry barriers for high-carbon emission projects in provinces with low levels of technological innovation and guide local governments to attract more projects with high returns and low carbon emissions to avoid a race to the bottom.

Affected by the small scale of forest farmers’ land and the imperfect development of the forest land transfer market, China’s forest rights mortgage loans have suffered from more serious credit rationing. The application of financial linkage theoretically has the effect of solving credit rationing. However, previous studies on financial linkages have focused on the field of credit lending, whereas the applied studies in the field of mortgage lending are mainly case studies on transaction models, and empirical tests on the application of financial linkages in mortgage lending are lacking. Therefore, to fill this gap, this study analyzed the effect of financial linkage on credit rationing for forestry mortgage loans and the mechanism of action through a study of farmers in Fujian, one of the key collective forestry areas in China, using the PSM method with 785 sample values. The results show the following: (1) Financial linkages have a significant mitigating effect on supply rationing, demand rationing, and the total rationing of forest rights mortgage loans. Compared to non-participation, financial linkages significantly reduced total rationing by 15.2%, with a 5% reduction in supply rationing and a 10.2% reduction in demand rationing. (2) The impact of financial linkage differs significantly among heterogeneous farmers. It has a significant mitigating effect on supply rationing for small-scale farmers, but not for large-scale farmers; meanwhile, it better mitigates demand rationing for large-scale farmers than for small-scale farmers. (3) In the mechanistic test, financial linkages were found to moderate the relationship between the value of collateral and supply rationing for small-scale farmers, and transaction costs play an intermediary role in the relationship between financial linkages and demand-based rationing. According to the study results, in order to promote the development of forest rights mortgage loans, it is necessary to develop different lending strategies for heterogeneous farmers, to further encourage small- and medium-sized farmers to participate in financial linkages, as well as to further reduce the related transaction costs.

中国"高货币化之谜"是经济学界关注的热点议题之一.本文从企业货币使用效率视角亦即企业货币化率(企业现金持有/企业产出)的角度对此问题进行理论分析,并基于我国上市企业数据,实证检验企业货币化率与企业债务期限结构和经营效率的关系.结果表明:第一,企业短期负债率偏高推升了企业货币化率.企业短期负债占比提升,导致企业在相近规模、结构和产出条件下,需要持有更多现金,从而推升了企业货币化率.第二,企业货币化率受企业经营效率的影响显著.企业经营效率提升会提高企业货币使用效率,降低货币化率.上述研究结论的启示:货币政策调控除了在总量上发力、控制货币数量增长之外,还可以通过结构性政策工具来影响企业行为,优化宏观货币化率;要进一步发挥信贷政策导向作用,引导金融机构将信贷资金优先配置给经营绩效较高的企业,提升企业货币使用效率,达到降低货币化率的效果.

基于福建省集体林区785户样本的调研数据,本文对林权抵押贷款信贷配给的影响因素及异质性农户的差异进行分析,研究结论为:(1)林权抵押贷款的信贷配给程度严重,从有效需求样本看,遭受配给程度高达75.94％,小农户遭受配给程度高于适度规模农户.(2)林权抵押贷款供给型配给主要受抵押品特征、声誉资本、经济资本特征以及地区市场政策方面的影响;需求型配给主要受声誉资本、交易成本、风险补偿成本、地区市场政策方面的影响.(3)农户遭受配给的影响因素存在显著差异.抵押品特征是造成农户供给型配给差异的主要因素,小农户供给型配给主要受林地面积的影响,适度规模农户主要受林权证、树种类型的影响.第三方组织的参与发挥对抵押品的补充功能,对小农户供给型配给的缓解更显著.风险补偿变量对小农户需求型配给的影响较规模农户更显著.地区变量对小农户各类配给的影响均更显著.

Aiming at the problems of low accuracy and long evaluation time of performance evaluation of rural forestry economic cooperation organizations, a performance evaluation method of rural forestry economic cooperation organizations based on intelligent fuzzy algorithm is proposed. Under the principles of scientificity, feasibility, comprehensiveness, and importance, build the performance evaluation system of rural forestry economic cooperation organization, and obtain 17 evaluation indexes, such as the supply of means of production, the internal management of the cooperation organization, and the unified product brand. Deal with the missing data and standardize the index data, construct the evaluation index judgment matrix according to the judgment matrix scale, and test the consistency of the judgment matrix through CI. The square root method is used to calculate the performance evaluation index weight of rural forestry economic cooperation organization. Intelligent fuzzy algorithm is used to evaluate the performance of rural forestry economic cooperation organization. Simulation results show that this method has high accuracy and short evaluation time.

产权经济学理论认为产权清晰或产权明确只是引导外部性内部化、激励与约束和减少不确定性功能的必要条件,而不是充分条件,产权功能的实现还有赖于产权的安全性.产权安全包括法律产权安全、事实产权安全和感知产权安全.集体林产权安全不足是由集体林产权赋权和产权制度实际运行导致.从行为经济学理论出发,集体林三个维度的产权安全性都会直接影响集体林经营主体经营行为,而经营主体因资源禀赋、认知能力、行为能力和风险偏好等因素具有异质性,其集体林经营行为必然存在差异性.因此,以"明晰产权、承包到户"为核心的集体林权制度改革未能取得预期的效果可以从集体林产权安全角度得到一定的理论解释.建立从集体林产权安全角度研究集体林经营主体经营行为的研究框架,具有科学价值和应用价值.

随着我国经济的快速发展,农业也发展得越来越迅速,如今已经成为我国国民经济的主要来源,因此推动我国农业经济发展也已经成为提高我国国民经济的有效途径.为了更好地实现这一目标,首先要从农产品出发,制定农业经济管理相关的措施.基于此,本文先分析了目前我国农业经济发展的现状,再探讨了落实农业经济管理对提高农村经济发展的价值,最后提出了一些有效措施,希望能够为我国农业经济的发展提供一些动力.

Grain security is an essential issue for countries across the world. China has witnessed over the last decades not only a rapid growth in the volume of the grain production, but also a divergence in its geographical distributions. Existing studies on the influencing factors of grain production have overlooked thus spatial heterogeneity. This paper investigates the factors that cause the geographical heterogeneity in grain output levels in Guangdong province of China, in terms of land, labor and capital. To address the spatial attenuation effect of the influencing factors, we use the Geographically Weighted Regression (GWR) on samples of different spatial ranges, which include a total of 530 southern counties from 2015 to 2017. The results show that (a) the effect of land endowment on grain output vary across the east and the west, and between coastal and inland areas; (b) the effect of labor endowment on grain output are inconsistent in the sign and magnitude of the estimates across counties; (c) the effect of agricultural capital on grain production shows heterogeneity spatially (across the east and the west) and economically (across developed and less developed regions). We then analyze the potential mechanism behind this spatial heterogeneity, as well as its policy implications.

Taking milk powder of infant formula as important food, this paper selects traceability label, brand, origin, and nutritional ingredient as the attributes of infant milk powder for computer simulation experiment and data collection and sorting. The purpose is to measure consumers' marginal willingness to pay for food with traceability labels and other attributes, calculate the value of different alternatives, and analyze the importance of each attribute for consumers. The main conclusions are as follows: (1) Consumers have a positive willingness to pay for the brand, origin, traceability label, and nutritional ingredient. (2) For consumers, the brand attribute of infant milk powder is most important, followed by the origin attribute, the traceability label attribute, and the nutritional ingredient attribute. (3) The total value of four attributes of infant milk powder is RMB 18.35, including RMB 6.09 for the brand attribute, RMB 5.30 for the origin attribute, RMB 4.13 for the traceability label attribute, and RMB 2.82 for the nutritional ingredient attribute.

本研究采用县域数据,以广东省121个县(区)作为研究对象,分析2000-2019年粮食生产空间演变的动态路径以及重心变化以及2000-2019年广东粮食生产的重点区域和西南地区粮食生产的变化.结果表明:中部偏东的趋势较强,并逐渐以珠三角为中心向四周移动,总体呈现"东、西扩张、北波动、珠三角收缩"的态势.此外,粮食生产逐步向重点县转移,产粮10大县产量占广东省22％?25％,产粮前20位的产量占广东省的40％～43％,产粮前40位的产量占广东省的63％?68％,但近年来保持相对稳定.

发展都市型休闲农业不仅推进农业现代化的需要,同时也是改善都市生态环境,满足市民闲暇生活的需要.在推动国民经济国内国外双循环、实现高质量发展的背景下,研究都市型休闲农业高质量发展路径具有其重要的实用价值.本文以福州市闽侯县都市型休闲农业作为研究对象,在分析都市型休闲农业内涵和闽侯县休闲农业发展优势以及制约因素的基础上,总结出闽侯县都市型休闲农业发展的类型、提出闽侯县休闲农业高质量发展的思路和路径.

人力资本与外商直接投资(FDI)作为经济增长的重要动力,一直以来受到经济学界的广泛关注,其关系也是学者们研究的重要内容.根据对外投资理论,在人力资本与FDI耦合关系中,人力资本对FDI具有重要作用,FDI能够促进人力资本发展,形成联动发展格局.研究结果表明,无论是在完全市场还是在不完全市场条件下,人力资本都是决定FDI区位选择的重要因素之一.FDI通过跨国公司投资,促进就业增长,带来劳力迁徙效应,提升当地人力资本水平,对我国推进人力资本与FDI耦合发展具有重要启示意义.

通过对我国林业发展和外资利用的现状形势进行描述性分析,选取1999-2017年林业总产值、林业国内固定资产投资和林业外资的时间序列数据,运用VAR模型进行分析,研究发现外资的利用对林业产业发展的作用效果并不显著.提出了应当完善林业外资利用政策体系、优化投资软硬环境、合理吸收和利用林业外资、妥善规划安排外资投资项目类别、提高林业吸引外资的质量、促进林业经济内外循环共同发展等相关对策建议.

通过对福建省南平市、三明市调研林农获取的样本数据,运用Logistic计量模型对样本林农的森林保险支付意愿进行实证分析.结果表明:影响林农对森林保险支付意愿的主要因素是年龄、受教育程度、家庭劳动力数量、家庭年收入、森林经营面积、林业年收入占家庭年收入比重、商品林结构与森林遭受自然灾害损失的严重程度,其中森林经营面积对森林保险支付意愿影响最大.根据实证分析结论,提出了科学设置森林保险机制和保险条款,提供差异化保障水平的森林保险产品等政策建议.

基于福建省500户农户的调研数据,采用IVProbit模型和IVTobit模型实证分析产权安全感知对林地是否流转和林地流转面积的影响效应.研究结果表明:产权安全感知变量对农户林地转入可能性和林地转入面积均具有显著的正向影响;农户是否为村干部变量对林地是否转入的估计系数显著为负;村到乡镇的距离变量对林地是否转入和林地转入面积均具有显著的正向影响.因此,为了促进林地规范有序流转,应进一步深化集体林权制度改革,明晰林地所有权,稳定农户的承包经营关系,强化农户林地流转合同意识,保护农户在林地流转过程中的合法权益.

Taking infant formula milk powder, an important food, as an example, this paper selects a total of 12 explanatory variables from three aspects: personal characteristics, family factors and psychological factors, takes consumers’ willingness to pay for food traceability labels as dependent variable Y, and adopts binary logistic regression model to understand and analyze the influencing factors of consumers’ willingness to pay for food traceability labels with big data collection and analysis. The results show that consumers’ age, education background, monthly family income, consumers’ trust in traceable labels and total family population will significantly affect consumers’ willingness to pay for food traceability labels; specifically, younger consumers are more willing to pay for food traceability labels, consumers with higher education are more inclined to pay for food traceability labels, consumers with higher income are more inclined to pay for food traceability labels, consumers with higher education are more inclined to pay for food traceability labels, and consumers with high trust in traceability labels are more inclined to pay for food traceability labels.

[目的/意义]随着我国社会主义市场经济的发展,"一村一品"的发展理念实现了促进农村发展、增加农民收入的目标,已成为发展现代化农业的重要途径,但是"一村一品"的发展模式更多的是针对于第一产业,并不能有效解决产业链延伸和附加值增加的问题.该文通过引入三产融合理念,探寻三产融合视角下"一村一品"的创新发展路径.[方法/过程]阐述三产融合内涵,总结目前我国"一村一品"发展情况及存在问题,以北寮村发展情况为例,通过案例分析法提出"一村一品"与三产融合相结合的发展路径.[结果/结论]在"一村一品"发展过程中,引入三产融合理论,有利于实现农业产业链和价值链的延伸和发展,是促进农业增效、农民增收、农村社会繁荣发展的有效途径.基于此,提出扶持龙头企业,持续创新发展农民合作社,建立三产融合创新机制、开展职业农民培育工作的"一村一品"发展对策建议.