试论循环经济价值链及其运行

企业必须按照自然生态体系，将经济活动高效有序地组织成一个循环经济模式，实现以最小的资源消耗，最小的污染获取最大的发展效益。循环经济的正常运行，必须有价值链的支持，因此，循环型产业的价值形成机制是循环经济持续发展的关键。企业是实施循环经济的最终策动力和执行主体。因此，循环经济特别是循环经济价值链能否形成已成为企业持续发展的重要因素。     

我国财政支出结构的优化问题研究

当前,我国正处在经济高速发展的快车道,市场经济体系逐步成熟和完善起来,市场逐步放开,市场化程度日益提高.而财政作为国家调控经济的最主要手段,尤其是财政支出方面对整个社会阶层都产生敏感而切身的利益影响.对此,运用实证分析和对比分析等方法针对我国当前财政支出结构的扭曲状况,才能进一步提出优化对策.     

多重关联下PE/VC持股对公司财务风险影响的传导效应

在资本结构、股权结构及市场价值三类多重关联关系下,研究了我国PE/VC持股对公司财务风险影响的多重传导效应。实证检验表明：我国PE/VC的介入会加剧其持股公司发生财务风险的危机,且在该影响过程中,资本结构波动和市场价值波动会增加公司财务风险,而股权结构波动可抑制公司财务风险发生。同时,股权结构波动的遮掩效应最为显著,资本结构波动次之,而市场价值波动的遮掩效应最弱。此外,这三类潜变量在该影响过程中的多重传导效应存在上市板块差异。     

海尔“人单合一”管理模式的演化路径及其价值实现机理——基于波粒二象性的理论视域

“人单合一”模式的演化路径可以用“人”“单”之间相互作用关系的变化过程进行描述,这一路径也可概括为“人的价值实现”从无到有地创生涌现,再形成一种独立力量,对“人单合一”体系以及各组织要素进行反向影响和塑造的过程。无论是表面上的二重性特征,还是在内涵层次、演化路径和发展趋势方面,“波粒二象性”与“人单合一”都具有紧密的对应契合性。文章在分析比较“波粒二象性”与“人单合一”对应契合关系的基础上,结合“人”与“单”之间由“分化对立”到“互补转化”再到“整合创新”关系转化的过程,分析阐释了海尔“人单合一”管理模式的演化路径及其价值实现机理。“波粒二象性”不仅为“人单合一”的内涵转变以及发展路径提供了机理解释,而且从跨学科的视角出发,为组织的管理实践与创新变革提供了思路启示。     

社会工作在基层治理专业化中的角色与功能

近年来,我国对居民社区建设的重视度不断提升,社区公共服务团队也在不断壮大,在国家政策的实施以及广大社区管理中,社区管理机构发挥着十分关键的作用。随着城乡居民生活水平的不断提升,传统的管理模式与基层治理手段已经落后,难以满足社区发展与民众生活的多元化以及专业化需求,因此,在社区治理中,融入专业性社会工作已经成为大势所趋。论文结合社会工作参与乡村振兴建设战略所进行的一系列工作,探究社会工作在基层治理专业化道路上扮演的角色,指出社会工作在基层治理专业化中的功能,阐明当前社区治理中的问题,探索促进基层社区治理可持续发展的道路。     

价值链成本管理模式在高新技术制造业的应用

随着高新技术制造业的不断发展,作为技术密集型的高新技术制造业对于成本管理的标准越来越高。企业竞争不只是某个环节的竞争,确保每个环节的成本控制、提高整个价值链的综合竞争力才能使企业拥有更强的竞争力。基于价值链的成本管理模式成为企业提高市场竞争力的一大利器。论文分析了价值链成本管理模式的理论和特征,以及现今理论的应用和结果,提出使用新型成本管理模式所要面临的困难与挑战,并对此提出部分建议。     

绿色维修技术在汽车处理中的应用价值

随着我国经济的快速发展,人们的生活质量得到改善,汽车保有量逐年递增。汽车修理工作的重要性日益突显,甚至成为影响社会发展的主要因素。在汽车修理工作中,一是要合理选择汽车维修技术;二是要重视汽车的危害因素,如环境污染。所以工作人员应该合理应用绿色维修技术,减少污染问题的出现。论文主要阐述在汽车处理中绿色维修技术的应用价值,仅供参考。     

Are gold,USD, and Bitcoin hedge or safe haven against stock? The implication for risk management

This study investigates whether gold, USD, and Bitcoin are hedge and safe haven assets against stock and if they are useful in diversifying downside risk for international stock markets. We propose a combined GO-GARCH-EVT-copula approach to examine the hedge and safe haven properties of gold, USD, and Bitcoin. We then examine the attractiveness of these assets in reducing stock portfolio risk by using downside risk measures estimated by the proposed approach and other competing models. We also evaluate the relative performance of the proposed model in reducing downside risk with the competing models. The findings of the study indicate that the USD is the most valuable hedge and safe haven asset closely followed by gold, while Bitcoin is the least valuable. It is also observed that the proposed combined approach performs best in reducing the portfolio downside risk. The findings of this study are of significance for portfolio managers and individual investors who wish to protect the portfolio value during market turmoil.     

Socioeconomic predictors of forest use values in the Peruvian Amazon: A potential tool for biodiversity conservation

Conservation is a crisis discipline requiring rapid action with limited funds. This study examines the potential of socioeconomic variables to predict forest use values. If natural resource use can be predicted from socioeconomic data, conservation planners could rapidly identify and focus conservation programs on the sectors of local populations that most intensively utilize local flora and fauna. Families in three communities in the northern Peruvian Amazon were surveyed over a 6-month period. Data were collected on use of flora and fauna from six locally determined use categories (food, medicine and poisons, wood, weavings, adornments, and “other”) in forest types of three age classes (fallow fields—very young forests, young secondary forests, and old secondary forests). Forest use values were the dependant variables calculated in $/ha/year. Socioeconomic variables included: age, education, family size, residence time, land worked, land owned, number of fishing nets, chickens, pigs, cows, and/or mules owned (all proxies for productive assets), and level of ecological knowledge (ability of informants to correctly identify forest species and answer basic questions about their biology). Ordinary least square multiple regressions were run independently for each forest type. Regressions were also run separately for the two most valuable use categories, food and wood. Low R² adjusted values (all < 0.3) reflect the difficulty in predicting human behavior due to confounding variables and complex interactions. Residence time and a household's community of residence were the most significant predictors of forest use values. Households in Vista Alegre, the community with the highest density of people and smallest landholdings per household, extracted the highest value of forest products per hectare. The longer a family stayed in any community the higher the value of forest goods they extracted. If families that lived in an area longest are the most intensive extractors of forest products, they should be a major focus for conservation programming. In addition, the higher value of products extracted from forests by some families may make them more open to strategies seeking to protect long-term viability of the resources they utilize. The importance of residence time also indicates that planners need to account for changes in the resource use patterns of stakeholders over time.     

客户知识的关键维度及其管理过程

客户知识成为企业维持持续竞争优势的关键资源。理解客户知识的内涵和关键维度是企业进行客户知识管理的前提和基础，论文结合不同行业企业的实践经验，提出客户知识应包括四个关键维度：用于客户的知识、来自客户的知识、关于客户的知识和共同创造的知识，并针对每个雏度分析了企业当前运用的管理方法，基于此．界定了客户知识管理的概念，构建了客户知识管理的过程模型，为企业有效进行客户知识管理提供参考。