基于AHP-TOPSIS模型的京津冀家政服务人力资源供给质量评价研究

依托已有的研究成果构建了家政服务人力资源供给质量评价指标体系,利用AHP-TOPSIS模型对京津冀家政服务人力资源供给质量进行了评价和排名,并使用障碍度模型分析了员工制、准员工制、培训学校、中介制四种类型家政机构人力资源供给质量的关键制约因素,在此基础上,给出了不同类型家政机构人力资源供给质量改善的针对性建议,为家政服务人力资源供给质量的改善提供参考依据。     

新疆坎儿井农业遗产资源保护与旅游开发利用

[目的]分析新疆坎儿井农业文化遗产资源的旅游效用,以期更好地指导当地旅游资源的开发利用工作,达到促进区域休闲农业可持续发展的目的。[方法]文章以新疆坎儿井农业文化遗产资源为例,分析其资源特征、资源保护及开发现状;采用AHP分析法分析坎儿井农业遗产资源旅游效用,基于上述分析并结合农业文化遗产旅游发展的需求,提出优化其农业遗产资源保护及开发的规划、模式及策略。[结果]坎儿井农业文化遗产资源中主体旅游资源坎儿井工程(B_1)、辅助旅游资源农业文化资源(B_2)、客源与市场特征(B_3)和外部因素特征(B_4)的权重分别是0.43、0.22、0.10和0.06。[结论]在比较其生态价值、环保价值、旅游价值的基础上,发现在稳固生态价值与环保价值的同时,挖掘新疆坎儿井的旅游价值是实现农业文化遗产有效保护的最佳途径;主体旅游资源坎儿井工程和辅助旅游资源农业文化资源为坎儿井农业遗产资源旅游带来良好的经济收益,而客源与市场特征和外部因素特征权重最低,说明这两个因素是导致旅游效益权重低的主要原因;农业遗产资源旅游的保护和开发两者互惠共赢,但必须建立在重视农业遗产资源的保护及其宣传保护的基础上。     

中国区域农业科技资源配置能力及比较优势研究*——基于省级农业科学院视角

[目的]通过测算各地区农业科技资源的配置能力,分析其比较优势并找出不足以便弥补差距,促进各区域农业科技配置能力的提高,为各地区农业经济的发展提供支持。省级农业科学院作为各省市规模最大、综合实力最强的农业科研机构,是农业科技创新的重要主体之一,分析其科技资源配置能力具有重要的现实意义。[方法]基于2009—2016年相关数据,遴选了有代表性的评价指标体系,运用突变级数法计算农业科技资源配置能力,运用NRCA模型定量分析农业科技资源配置效益的比较优势。[结果]山东农业科学院科技资源配置能力位居全国第一,甘肃、江苏、青海农业科学院分别在农业科技人力、物力、财力资源方面具有明显的比较优势。[结论]省级农业科学院科技资源配置能力区域差异十分明显,但区域格局变化不大,且大致与各地区经济实力相吻合;农业科技资源配置能力较高的农业科学院大多在农业科技物力资源配置效益方面具有比较优势,在农业科技人力、财力资源配置效益方面不具备比较优势。     

重塑自然资源管理新格局：目标定位、价值导向与战略选择

研究目的:立足新时代党和国家机构改革背景,分析自然资源管理改革目标定位和面临挑战,明确未来自然资源管理改革价值导向与战略选择。研究方法:文献研究法,综合分析法。研究结果:自然资源管理改革的目标定位是实现"五统一",即统一调查评价、统一确权登记、统一"多规合一"和用途管制、统一资产管理和统一督查监管。针对当前自然资源管理理论储备不足、开发利用伦理缺乏科学引导、开发和保护矛盾冲突长期存在、新管理体制效能有待实践检验等挑战,自然资源管理改革亟需注重"公平效率"、强调"永续利用"、融合"三资一体"、构建"有效市场",切实重塑自然资源管理新格局。研究结论:新时代自然资源管理改革应该以权籍为基础,完善自然资源市场体系;以规划为龙头,构建国土空间规划体系;以"三线"为底线,推进全域国土空间用途管制;以整治为抓手,推进"山水林田湖草"生命共同体综合治理;以法制为保障,构建自然资源管理法律体系,从而塑造"三体系一管制一治理"的自然资源管理新格局。     

External pressure or internal culture? An innovation diffusion theory account of small retail businesses’ social media use

COVID-19 put unprecedented external pressure on small businesses to adopt or increase use of social media while not all small businesses are internally ready for this rapid change. This study investigated the roles of external pressures and organizational culture of openness and learning in driving small retail business owners'/managers' social media use decisions by impacting their perceived usefulness and barriers, based on the innovation-decision process model from the diffusion of innovations theory and the theory of reasoned action. An online survey with structured measurements was administered to 411 U.S. small retail business owners/managers. Results from structural equation modeling revealed that external pressures positively influenced small business owners'/managers’ perceived usefulness and barriers and social media use intention. In addition, the culture of openness and learning positively influenced the perceived usefulness while mitigating the perceived barriers, thereby directly and indirectly influencing the social media use intention. Theoretical and managerial implications are discussed.     

War and economy. Rediscovering the eighteenth-century military entrepreneur

Abstract

The detrimental effects traditionally assigned to warfare in the development of pre-industrial economies have obscured the prominent role that military entrepreneurs played in economic development in this period. Historiography minimises the extent to which war and the concomitant strengthening of the central state provided a whole new range of opportunities for capital investment, a tendency that has been strengthened by the paradigm of Redlich’s ‘decline of the soldier-entrepreneur’ and the technological determinism of the debate on the Military Revolution among others. The aim of this introduction is to look into the background of this relative lack of interest and to reaffirm the mutual dependence of eighteenth-century state-formation and the business of war.     

Deep learning for modeling the collection rate for third-party buyers

This study evaluates a wide range of machine learning techniques such as deep learning, boosting, and support vector regression to predict the collection rate of more than 65,000 defaulted consumer credits from the telecommunications sector that were bought by a German third-party company. Weighted performance measures were defined based on the value of exposure at default for comparing collection rate models. The approach proposed in this paper is useful for a third-party company in managing the risk of a portfolio of defaulted credit that it purchases. The main finding is that one of the machine learning models we investigate, the deep learning model, performs significantly better out-of-sample than all other methods that can be used by an acquirer of defaulted credits based on weighted-performance measures. By using unweighted performance measures, deep learning and boosting perform similarly. Moreover, we find that using a training set with a larger proportion of the dataset does not improve prediction accuracy significantly when deep learning is used. The general conclusion is that deep learning is a potentially performance-enhancing tool for credit risk management.     

Uncertainty,story-telling and transformative learning: An instructor’s experience of TEFI’s Walking Workshop in Nepal

ABSTRACT

This article recounts three stories from TEFI’s walking workshop in Nepal: the construction of a road through what was once a trekking path; a dance-floor encounter at a Himalayan party; and the arrival of one participant, fatigued by jet lag and disoriented by the new surroundings. These stories of confusion, discomfort and fear are linked by one common theme: the potential of uncertainty to foster deep reflection and nuanced conclusions. The premise that uncertainty is to be valued and even cultivated has been explored in educational theory, spiritual traditions, and research on transformative learning. These sources affirm the role of uncertainty in the process of knowledge creation. However, accepting this role can be challenging for educators because it requires they assume a new identity, one which they may perceive as being at odds with their status as “teacher” the identity of learner. One way for the educator to address this challenge may be through recounting their own stories of uncertainty. Stories of being immersed in unfamiliar situations that challenge, confuse and even frighten – stories, in other words of being a tourist – can foster reflection on an intellectual, emotional and spiritual level, engaging the “whole” person, and thus initiating the educator/learner’s transformative journey.     

基于经济新常态的长春市水资源开发利用潜力评价

以长春市为研究对象,基于未来经济处于新常态的发展态势,构建包含水资源、社会、经济、生态环境4个子系统的评价指标体系,并确定各指标的评价等级标准;基于模糊数学理论以及层次分析法构建包括目标层、准则层、指标层的3层模糊综合评价模型,以2015年为现状水平年,应用模型对长春市水资源开发利用潜力进行综合评价。结果表明:长春市水资源开发利用程度处于中等偏上水平,各辖区水资源开发利用规模不平衡,可通过产业结构调整提高全市用水效率,为经济持续增长提供保障。