中国智能经济的涌现机制

我国智能经济的发展内生于经济转型升级过程中创造的智能化需求。与AI 1.0不同,新一代人工智能(AI 2.0)不再是简单用计算机模拟人的智能,而是基于网络空间发展的数据智能,即智能机器、人和网络相互融合的智能系统。智能经济是以数据和计算为“关键生产要素”的新经济形态,包括人工智能的产业化和产业的智能化过程中创造的新产品、新技术、新模式和新业态。互联网,尤其是移动互联网发展中创造出的数据生态优势是中国人工智能科技产业发展的前提和基础。在拥有数据生态优势的条件下,强烈的需求牵引、产学研协同创新、创新生态系统的高度开放性和核心产业部门与融合产业部门的融合发展,共同构成了中国智能经济发展的关键机制。     

Reciprocal relationships between psychosocial work characteristics and sleep problems: A two-wave study

Sleep problems are common and impair the health and productivity of employees. Work characteristics constitute one possible cause of sleep problems, and sleeping poorly might influence wellbeing and performance at work. This study examines the reciprocal associations between sleep problems and psychosocial work characteristics. The participants were 1744 full-time employed individuals (56% women; mean age 38 years in 2007) from the Young Finns study who responded to questionnaires on work characteristics (conceptualised by the demand–control model and effort–reward imbalance model) and sleep problems (Jenkins Sleep Scale) in 2007 and 2012. Cross-lagged structural equation models are used to examine the associations. The results show that low control and low rewards at baseline predicted sleep problems. Baseline sleep problems predicted higher effort, higher effort–reward imbalance, and lower reward. Sleep problems also predicted lower odds for belonging to the low (rather than high) job strain group and active jobs group. The association between work characteristics and sleep problems appears to be reciprocal, with a stressful work environment increasing sleep problems, and sleep problems influencing future work characteristics. The results emphasise the importance of interventions aimed at both enhancing sleep quality and reducing psychosocial risks at work.     

A shelf-space optimization model when demand is stochastic and space-elastic

The more customer demand is impulse-driven, the more it is space-dependent and the more it is subject to variation. We investigate the corresponding problem of retail shelf-space planning when demand is stochastic and sensitive to the number and position of facings. We develop a model to maximize a retailer׳s profit by selecting the number of facings and their shelf position under the assumption of limited space. The model is particularly applicable to promotional or temporary products.We develop the first optimization model and solution approach that takes stochastic demand into account, since the current literature applies deterministic models for shelf-space planning. By the means of an innovative modeling approach for the case with space- and positioning effects and the conversion of our problem into a mixed-integer problem, we obtain optimal results within very short run times for large-scale instances relevant in practice. Furthermore, we develop a solution approach to account for cross-space elasticity, and solve it using an own heuristic, which efficiently yields near-optimal results. We demonstrate that correctly considering space elasticity and demand variation is essential. The corresponding impacts on profits and solution structures become even more significant when space elasticity and stochastic demand interact, resulting in up to 5% higher profits and up to 80% differences in solution structures, if both effects are correctly accounted for. We develop an efficient modeling approach, compare the model results with approaches applied in practice and derive rules-of-thumb for planners.     

Housing of Seniors in the Czech Republic: Challenges for Social Services

The article focuses on the housing market, the behavior and motivations of senior households to move or to stay in place. Knowing if and why seniors decide to move at retirement is a critical factor for the establishment of social service policies in terms of their structure, location, and provision.

This study uses secondary data based on information about Czech households collected by the Czech Statistical Office (CSO). The data are annually collected via sample surveys of the income and living conditions of households (EU-SILC). The sample covers more than eight thousands of households. Analyzed data cover the period 2007–2012 when the abolishment of rent regulation in the Czech Republic took place. It is hypothesized that an impact like this might increase the willingness to move and reveal the factors which underlie the decisions of particular households.

The results indicated that most Czech households that decided to move during the study period were driven by the increased financial burden of housing. Other factors, including the availability of social services and public utilities within the current location, played only minor roles. It seems that Czech senior households act in a very pragmatic and rational manner when deciding whether to stay in place or move, with the majority of households preferring not to move. Social policies should, therefore, concentrate on providing services for the current locations rather than on the construction of new social housing.     

中国地方NGO生成机制的制度分析

地方NGO作为一种具体制度安排,其生成机制主要是在外在制度环境的作用下,以潜在利益为基本诱因,外在制度需求与内在制度供给相互契合推进,从而激励地方公民合作创设NGO制度安排的复杂过程。这是中国地方NGO生成的简要逻辑。从制度需求与制度供给的视角分析,在中国地方NGO的生成机制中,国家与市场对NGO制度安排的供给、市民集体行动的理性选择、地方制度转型的适应性安排、地方政府之间的制度竞争、地方知识精英的主导性介入与网络等科学技术进步的推动是六个关键性因素。特别是国家与市场的博弈过程与中国地方NGO的发展壮大过程相伴相生。分析中国地方NGO的生成机制,可以窥见中国公民社会的生长与发展轨迹。     

启动农村消费的障碍及消除障碍的路径选择研究

消费是拉动内需,推动经济持续、健康发展的不懈动力,然而现阶段我国居民消费对GDP增长的促进作用较弱,尤其是农村消费,但由于受收入、物价、市场发达程度等因素的制约,农村消费长期以来一直被压制.采用定量、定性相结合的分析方法,通过构造数量模型分析影响消费的主要因素及影响程度,在此基础上重点对影响农村消费增长的原因进行分析,并提出相应的解决措施.     

论图书馆的信息推送服务

信息推送服务是一种个性化的主动信息服务,图书馆在服务过程中必须贯彻以人为本、主动服务、一站式服务、个性化服务理念;网络环境下,基于RSS的信息推送模式比较好的解决信息推送的技术手段,图书馆根据学校的特性选择信息,建立用户需求库、信息资源库,定制用户界面并协同数据库完成信息推送。因此,以用户为中心的信息推送技术必将成为未来信息获取技术的一个重要发展方向。     

土地流转、资本兼并与扩大内需

立足于我国“三农”问题的根源性问题——土地问题,关注党的十七届三中全会提出的土地经营权流转问题,分析土地经营权流转的意义,主要在于土地、资本、劳动这三个基本生产要素的激活,盘活土地资源,引入非农资本,释放劳动力资源。同时,在土地流转过程中要警惕资本兼并问题;要循序渐进,谨慎推进土地流转。     

Who gets evicted? Assessing individual,neighborhood, and network factors

The prevalence and consequences of eviction have transformed the lived experience of urban poverty in America, yet little is known about why some families avoid eviction while others do not. Applying discrete hazard models to a unique dataset of renters, this study empirically evaluates individual, neighborhood, and social network characteristics that explain disparities in displacement from housing. Family size, job loss, neighborhood crime and eviction rates, and network disadvantage are identified as significant and robust predictors of eviction, net of missed rental payments and other relevant factors. This study advances urban sociology and inequality research and informs policy interventions designed to prevent eviction and stem its consequences.     

我国弱势群体利益诉求机制的建构

我国社会转型期不断出现的弱势群体,已成为引发社会利益矛盾和冲突的重要原因,也成为关系社会公平、公正的焦点问题。弱势群体缺乏有效的利益诉求渠道,是群体性事件引发和难以良好解决的关键因素。建立完善的弱势群体利益诉求机制,并注重提高弱势群体自身的文化水平和政治素质,建立和扶植代表他们利益的各种社会组织,对于实现社会和谐发展具有重要意义。