An Empirical Analysis of the Factors Influencing the Cooperative Relationship between Broiler Processing Enterprises and Broiler Raisers

The stability in the cooperative relationship between broiler processing enterprises and broiler raisers is a key factor restricting the performance of " company + farmers" business model in the broiler industry. Based on the survey data on seven cities in Shandong Province,from the perspective of broiler processing enterprises,this paper uses Logit-ISM model to reveal the factors influencing the stable relationship between broiler processing enterprises and broiler raisers as well as the hierarchy of these factors. Studies have shown that enterprise characteristics( enterprise scale,enterprise level,attitudes and behaviors),cognitive characteristics( transaction cost cognition,cognition of contract's binding force,reputation mechanism cognition) and environmental characteristics( intermediary coordination) will affect the stability of cooperative relationship. And finally,some policy recommendations are set forth in order to promote the development of broiler industry.

Small and Medium-Sized Enterprises （SMEs） in Personal Services

Entrepreneurship has become an attribute of the current growth without business activities. Entrepreneurship is a global world. It is not possible to think about economic driving force of technological development and scientific research. It materializes knowledge and involvement of people and society. Expansion of business activities is a source of individual country＇s economic performance. It contributes to the development of people＇s living standards. In every market economy, it represents an irreplaceable role for small and medium-sized enterprises （SMEs）. A strong representation of＂micro-enterprises＂ can be found in the field of personal services. Companies within the course of their existence go through particular stages of their development--from their foundation through the stage of steady development. After this stage, there comes their decline that can develop even into their termination. We indicate this process as a company life cycle. The aim of the submitted project is to map the life cycle of particularly chosen companies providing accommodation and catering services and to find a mutual relation among observed quantities and their stable economic positions in the market. The analysis is based on the data of macro-economic character, the data about development of receipts in the sector, development of inflation, tempo of economic growth, and development of consumer prices. Out of a company, non-financial factors will also be considered. The core of the analysis is the stage of sustainable stability of the assessed companies. The point of the findings is revelation of the causes of risks of possible transition into the stage of termination due to the decline of services volume, decline of profitability, and long-lasting payment insolvency. The contribution of the project is to draw our attention to possible risks of critical situation development and to propose how to avoid them so that the company will not occur in financial straits. Achieved information could assist the company management to make relevant decisions.

Stability Analysis of Predator-Prey System with Consuming Resource and Disease in Predator Species

The present study is concerned with formulating a predator-prey eco-epidemiological mathematical model assuming that an infection exists in the predator species.The two classes of predator species(susceptible and infected)compete for the same sources available in the environment with the predation option.It is assumed that the disease does not spread vertically.The proposed model is analyzed for the stability of the coexistence of the predators and prey.The fixed points are carried out,and the coexisting fixed point is studied in detail by constructing the Lyapunov function.The movement of species in search of food or protection in their habitat has a significant influence,examined through diffusion.The ecological influences of self-diffusion on the population density of both species are studied.It is theoretically proved that all the under consideration species can coexist in the same environment.The coexistence fixed point is discussed for both diffusive and non-diffusive cases.Moreover,a numerical scheme is constructed for solving time-dependent partial differential equations.The stability of the scheme is given,and it is applied for solving presently modified eco-epidemiological mathematical model with and without diffusion.The comparison of the constructed scheme with two exiting schemes,Backward in Time and Central in Space(BTCS)and Crank Nicolson,is also given in the form of plots.Finally,we run a computer simulation to determine the effectiveness of the proposed numerical scheme.For readers’convenience,a computational code for the proposed discrete model scheme may be made available upon request.

Bifurcation control of a fractional-order delayed competition and cooperation model of two enterprises

The competition and cooperation among enterprises has become a hot topic and focus issue in today’s world. How to manage the enterprise well so as to achieve the maximum output is an important problem for enterprise managers. Optimizing output of two enterprises plays a key role in operating enterprises. Many scholars pay much attention to this aspect. However, the reports on the stability and Hopf bifurcation for fractional-order delayed competition and cooperation model of two enterprises are very few. This paper is concerned with the stability, the existence of Hopf bifurcation and the bifurcation control issue of fractionalorder delayed competition and cooperation model of two enterprises. Firstly, some new sufficient conditions that guarantee the stability and the existence of Hopf bifurcation for fractional-order delayed competition and cooperation model of two enterprises are obtained by regarding the delay as bifurcation parameter. Then a suitable time delayed feedback controller is designed to control the Hopf bifurcation for involved model. The study shows that the delay and the fractional order have an important effect on the stability and Hopf bifurcation of involved model. Some simulations justifying the validity of the derived analytical results are given. At last, we end this paper with a concise conclusion. The obtained results of this article are innovative and are of great significance in handling the competition and cooperation among enterprises.

Construction of a Computational Scheme for the Fuzzy HIV/AIDS Epidemic Model with a Nonlinear Saturated Incidence Rate

This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible people.Thenext-generation matrix approach is employed to find the reproduction number of a deterministic model.Thesensitivity analysis and local stability analysis of the systemare also provided.For solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time levels.The numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive solution.The establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of accuracy.The stability of the scheme for the considered fuzzy model is also provided.From the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.

A Hybrid SIR-Fuzzy Model for Epidemic Dynamics:A Numerical Study

This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy Model.By integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model parameters.The main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical modeling.Our main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership level.This enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical models.We investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic results.In order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical scheme.The convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler schemes.The numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease transmission.Significantly,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological factors.Moreover,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible individuals.This correlation offers a significant understanding of how many elements affect the consequences of an epidemic.Our objective is to enhance decision-making in public health by providing a thorough quantitative analysis of the Hybrid SIR-Fuzzy Model.Our approach not only tackles the existing constraints in disease modeling,but also paves the way for additional investigation,providing a vital instrument for researchers and policymakers alike.

“固本”方能“枝荣”:民营企业慈善捐赠本地偏好对企业绩效稳定性的影响研究

首先,基于制度理论以及关系网络视角,探讨民营企业慈善捐赠的本地偏好对企业绩效稳定性的积极作用;其次,基于2007—2021年中国沪深A股上市民营企业数据的研究结果证实以上假设,并从信息传递的视角证明信息传递能力可有效增强主效应;最后,验证本地政商关系和本地社区关系所起到的机制效应。研究结论对民营企业社会责任行为以及企业高质量发展等议题具有积极的理论意义。

企业自播电商模式下企业与主播的双边匹配博弈研究

提高企业与主播的匹配度是增强双方满意度和效益的关键一步。以第三方直播平台为双边平台建立匹配博弈模型,运用Borda分值测算匹配度,考虑异质属性、满意度、稳定性等相关条件对匹配过程的影响建立效益最大化双边匹配模型,分析两企业均衡产量及主播的最优直播努力水平,探讨企业异质性系数和主播直播努力水平对匹配效益的影响。研究发现:以效益最大化为目标函数的双边匹配博弈模型更加符合企业实际情况;企业异质性系数对双方效益存在正向影响;在较高的直播努力水平下,企业和主播的收益随直播努力水平的升高而降低;最优直播努力水平与企业异质性系数存在相关性,且随企业异质性系数的增加而提高;市场规模在主播直播努力程度对销量和效益的影响过程中存在调节作用。因此,直播平台应综合考虑市场规模、主播直播努力水平及企业异质性系数对匹配过程的影响,与差异化企业进行合作。主播要根据市场规模及企业异质性系数及时调整努力水平。企业要制定差异化产品策略,提高产品核心竞争力以维持市场份额,培训个性化主播,赋予产品内涵,使其产品信息具备鲜明特色。

高管团队稳定性与企业国际化进程——基于海外经验与涉外风险视角

基于2010一2021年中国A股上市公司样本,实证检验高管团队稳定性对企业国际化进程的影响及其作用机制。研究发现,高管团队稳定性使企业国际化范围扩大、速度提升、节奏更具规律性;高管海外经验增加有利于增强高管团队稳定性对企业国际化范围和节奏的正向影响;涉外风险程度削弱了高管团队稳定性对企业国际化范围的正向影响。进一步分析发现,高管团队稳定性通过改变长期预期影响企业国际化进程;关键高管变更、组织风险偏好和薪酬激励水平不同时,高管团队稳定性对企业国际化进程的影响存在显著差异。研究结论明晰了高管团队稳定性在企业国际化进程中的重要作用,对企业优化跨国经营管理具有现实启示。

企业数字化对劳动力市场就业风险的影响

企业数字化是数字经济的微观形态,对劳动力市场将产生深刻影响。在劳动力价格不断上涨的背景下,探讨企业数字化如何影响就业风险具有重要意义。采用劳动力需求弹性衡量劳动力市场就业风险,基于2010—2020年中国A股上市企业数据考察企业数字化对就业风险的影响,发现企业数字化能够降低劳动力市场的就业风险,总体上具有积极的就业效应。从作用机制来看,企业数字化通过生产力机制与资源机制对劳动力市场就业风险产生影响,前者表现为替代效应与规模效应,后者表现为融资效应,其中替代效应深化就业风险,而规模效应与融资效应缓解就业风险。实证结果表明,生产力机制的规模效应与资源机制的融资效应占据主导地位,这两个效应均显著存在。在数字经济所催生的企业数字化过程中,借助数字化转型推动企业发展,进而改善经营状况,对化解劳动者就业风险,实现更加充分更高质量就业具有积极意义。

僵尸企业的存在对就业增长的抑制研究——基于就业规模和就业稳定性视角

研究从就业规模和就业稳定性视角,基于工业企业数据和城市相关数据考察僵尸企业对正常企业就业增长的抑制情况。研究发现,僵尸企业会抑制正常企业的就业创造和就业净增长,带来就业破坏,增强就业增长波动性。企业僵尸化对就业创造基本引擎——小规模和年轻企业就业增长的抑制效应非常突出,对高技能就业创造主体——高技术企业就业增长产生的负面影响更显著。较之民营僵尸企业,国有僵尸企业对正常企业就业增长的抑制作用更为突出。研究认为,采取优化市场竞争环境、合理处置僵尸企业等措施能促进企业健康发展,拉动企业就业创造,实现就业规模增长。

政府监管下快递企业与加盟商利益协调研究

加盟制作为一种常用的商业模式使快递企业得以快速扩张。文中构建快递企业、加盟商和政府部门三方演化博弈模型,通过稳定性分析得到7个均衡点和对应的稳定性条件。通过数值仿真分析三方演化博弈理想策略的演化路径,阐明快递企业、加盟商和政府部门演化的内在机理。通过分析利益分配、风险分担对快递企业和加盟商双方演化博弈的影响,结果表明:对快递企业而言,快递企业向监管策略演化的速率与收取加盟商收益的比例成正比,与分担风险的比例成反比;对加盟商而言,加盟商向提供高质量服务策略演化的速率与加盟商减去快递企业监管收取的比例成正比,与分担风险的比例成反比。最后研究政府行为对三方演化博弈的影响,结果表明,政府部门的奖励强度与金额的增加以及高强度管理可加快快递企业向监管策略演化,同时也能促进加盟商向提供高质量服务策略演化。

食用酵素产品稳定性研究进展

食用酵素是一种含有多种活性物质,有利于人体健康的食品。食用植物酵素的稳定性是酵素新产品开发的关键点和难点之一。目前国内开展了许多植物酵素的稳定性相关研究,但是至今没有系统的归纳和总结。因此本文基于现有文献研究,总结归纳了酵素产品稳定性相关检测模型和评价指标,显示其模型主要有预测货架期动力学模型;稳定性检测指标主要包括感官评价、pH指标、功能检测、活性成分含量和益生菌含量等,其中感官评价和抗氧化性作为稳定性的评价指标居多。影响食用酵素产品稳定性的因素包括生产工艺条件(发育菌种和发酵时间)、食用酵素产品后加工和贮藏环境等,显示通过选育合适菌种或混菌发酵,合理调整发酵时间,选择合适的灭菌和干燥方式等后处理方式,采取低温、避光、无氧的贮藏条件,均有利于提高酵素产品的稳定性。建议后续继续进一步探究优势菌种的选育,后加工技术的研究和酵素加工稳定性规程研究。总之,本文归纳出了食用酵素稳定性评价模型和指标,指出了生产工艺条件,食用酵素产品后加工,贮藏环境对食用酵素稳定性均有较大影响,并提出了提高稳定性措施和建议,为促进食用酵素稳定性及其相关产业的发展提供了一定的理论参考基础和指导。

数字经济时代中小传统零售企业数字化转型的思考

随着数字经济的发展,越来越多的传统零售企业意识到数字化转型的重要性并踊跃尝试。深入分析中小传统零售企业在数字化转型过程中存在的变革领域选择困难、渠道协同融合不畅、数据分析赋能不足、数字化能力建设存在短板等突出问题,从战略定位、渠道融合、数字赋能、组织重塑方面提出有针对性的建议。

江苏省科技型中小企业发展现状与对策研究

文章以江苏省2023年通过科技型中小企业评价的入库企业信息为样本,结合问卷调查方式,研究分析江苏科技型中小企业发展现状,剖析其在政策支持、科技人才引用、研发费用投入、市场开拓以及高成长科技型中小企业培育方面的不足,进而提出强化企业创新活动资源供给、加快高成长科技型中小企业挖掘和培育的对策建议,以期推动更多科技型中小企业驶上发展“快车道”,培育和发展新质生产力。

区域协调发展促进了就业扩容吗?——基于京津冀协同发展战略实施的准自然实验

就业是民生之本,是党和国家关心的民生头等大事,面对错综复杂的国内外经济形势,如何稳就业成为重中之重。本文选取2010-2022年沪深A股上市公司数据,研究京津冀协同发展战略的实施能否促进就业扩容及其作用机制。研究结果表明,京津冀协同发展战略的实施促进了就业扩容,且这一结论通过了一系列稳健性检验。机制分析结果显示,京津冀协同发展战略的实施能够加速企业成长、促进人口流动和推动数字经济建设,从而促进企业就业扩容。异质性分析结果显示,政策的实施效果在国有企业、人力资本水平较高地区和自然资源禀赋较低地区更为明显。对此,应继续推动京津冀协同发展战略的实施,优化相关政策举措;在继续保持对国有企业的支持外,也应重点激发非国有企业的活力;充实地区人力资本力量,推动京津冀协同发展战略的高效实施;针对地区自然资源禀赋的不同,实施差异化的财政支持政策。

我国碳金融工具运用现状分析及对化工企业的运用建议

全球范围内,碳排放权交易市场蓬勃发展,碳市场的金融化特征越发明显,以碳金融为代表的创新型绿色金融工具,在盘活碳资产、拓宽企业融资渠道等方面发挥着重要的作用。随着我国碳市场控排范围的逐步拓展,化工企业将成为我国碳市场的重要参与者,灵活运用碳金融工具,实现碳资产保值增值,对我国化工行业落实双碳目标,实现绿色低碳高质量发展有积极的推动作用。梳理碳金融内涵及相关概念,在分析我国碳金融工具运用情况的基础上,研究我国化工企业运用碳金融工具的现状并针对化工企业如何有效利用碳金融工具提出可行建议。

航空科技协同创新主体策略及影响因素研究——“政产学研金”视角下的演化博弈与仿真

航空产业是国之重器,必须坚持自主创新,推进高端装备和核心技术自主可控,航空科技创新是实现航空产业高质量发展的重要内容。建立航空科技协同创新演化博弈模型,对协同创新主体策略选择及影响因素进行分析,通过数值仿真模拟创新主体意愿变化和稳定策略形成的动态演化过程。研究表明,不同背景下航空科技协同创新主体策略演化呈现不同规律,优稳定策略的形成受协同各方交互作用和相关因素差异化影响。以创新主体策略演化至优稳定策略为导向提出建议:提高政府调控行为与协同创新过程配适度;优化协同创新运行机制;结合航空企业自身创新情况形成差异化融资方案。

磷脂基微乳液的制备及其负载白藜芦醇的性能研究

以2∶1的比例,将大豆磷脂和烷基糖苷羟丙基磺酸钠复配作为乳化剂制备O/W微乳液。通过拟三元相图法确定了最优配方:助表面活性剂为1,2-己二醇,油相为己二酸二丁酯,复配表面活性剂与助表面活性剂的质量比Km为1∶2,己二酸二丁酯在体系中的质量分数为8.00%,水添加量为60.00%,水中无机盐的浓度为0.1 mol/L。透射式电子显微镜显示该微乳液为球形,油滴均匀分布,粒径为15~25 nm。该体系对于白藜芦醇的最大负载量为(11.55±0.14)mg/mL,显示出良好的增溶效果。在1.00%白藜芦醇负载量下,微乳液展示出良好的稳定化效果,50℃保存28 d后的保留率为77.13%±0.51%,比未包裹的提升19.21%;在365 nm的紫外光照下保存32 h后的保留率为57.21%±0.32%,比未包裹的提升20.72%。白藜芦醇在该体系中24 h的经皮渗透量可达(461.12±35.01)μg/Cm^(2),对难溶性的多酚类化合物有着良好的促渗效果。

浅谈粮食仓储企业在粮食质量监测工作中存在的问题及建议

作为国民经济的基石,粮食的稳定供应与国家繁荣和民众福祉密切相关,政府和相关部门高度关注粮食安全。基层的粮食质量监测在保障粮食仓储安全中具有核心作用,是确保粮食品质以及社会整体食品安全部署中不可或缺的一环。本文深度剖析了当前粮食质量监测面临的挑战,并针对性地提出改进策略,以推动粮食仓储的可持续发展,切实保障消费者的餐桌安全。