Intensities of mobility: kinetic energy,commotion and qualities of supercommuting

This paper explores the intensities of long-distance commuting journeys in order to understand how bodily sensibilities become attuned to the regular mobilities which they undertake. More people are travelling farther to and from work than ever before, owing to a variety of factors which relate to complex social and geographical dynamics of transport, housing, lifestyle, and employment. Yet, the experiential dimensions of long-distance commuting have not received the attention that they deserve within research on mobilities. Drawing from fieldwork conducted in Australia, Canada, and Denmark this paper aims to further develop our collective understanding of the experiential particulars of long-distance workers or ‘supercommuters’. Rather than focusing on the extensive dimensions of mobilities that are implicated in broad social patterns and trends, our paper turns to the intensive dimensions of this experience for supercommuters by developing an understanding of embodied kinetic energy, commotion and quality. Exploring how experiences of supercommuters are constituted by a range of different material and bodily forces enables us to more sensitively consider the practical, technical, and affective implications of this increasingly prevalent yet underexplored travel practice.     

技术创新与企业就业效应--基于微观企业调查数据的实证分析

利用2012年世界银行关于中国工业企业的调查数据，从流程创新、产品创新和企业研发三个维度分析了短期内技术创新对就业增长的影响。结果显示，流程创新与就业增长显著负相关；产品创新与就业增长显著负相关；企业研发与就业增长负相关，但较前两者显著性较弱。进一步研究发现，与东部沿海地区相比，中西部地区技术创新的就业替代效应更为明显。鉴于上述研究结果，对现有技术创新方式和政策提出相应的对策建议。     

Job quality,industrial relations and the crisis in Europe

This paper reports results from recent Eurofound research on the impact of the crisis on industrial relations and working conditions in Europe, based on the output of Eurofound's European Working Conditions Observatory and European Industrial Relations Observatory and data from the European Working Conditions Survey. Overall, the crisis – even if it is sometimes difficult to separate the effect of the crisis from megatrends in working conditions and industrial relations – seems to have had an impact on both domains. With reference to industrial relations, the impact of the crisis has influenced actors, processes, and outcomes. Regarding working conditions, the results appear to be in line with the literature on the topic, which relates the crisis to an increase in job insecurity, a decrease in work intensity, in working hours, and in anti-social working time arrangements, and a general improvement in terms of health risks and related outcomes.     

Did small and medium enterprises maintain better jobs during the early years of the recession? Job quality multidimensional evidence from Spain

While the literature has indeed confirmed a general tendency linking small and medium enterprises (SMEs) to a dynamic of greater job creation, there is little available evidence on what has happened to job quality since the financial crisis. Through a representative sample of 5311 employees in 2008 (first year of job destruction) and 4925 employees in 2010 (last year for which data were available), and using a two-stage structural equation model, this article empirically analyses the multidimensional determinants of job quality, by enterprise-size class, in Spain. The research has revealed three main results. First, job quality in Spain improved in all enterprises, regardless of their size, during the early years of the recession. Second, the greatest improvements were found in SMEs. Although job quality was already better in SMEs than in large enterprises in 2008, the differences between them subsequently widened. Third, this accelerated divergence was explained by the following dimensions: working conditions, work intensity, health and safety at work, and work–life balance. These dimensions were much more positive in SMEs. Employment-related public policy should therefore focus more specifically on SMEs. There are two reasons for this. First, despite the recession, SMEs have shown themselves to be key factors in the explanation of job quality. Second, by making changes to their value generation model, they could continue to drive the creation of better quality jobs.     

Decomposition of Variance for Spatial Cox Processes

Abstract. Spatial Cox point processes is a natural framework for quantifying the various sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox processes and apply it to specific Cox process models with additive or log linear random intensity functions. We moreover consider a new and flexible class of pair correlation function models given in terms of normal variance mixture covariance functions. The proposed methodology is applied to point pattern data sets of locations of tropical rain forest trees.     

动态环境下联盟竞合、治理机制与创新绩效的关系研究

本文从竞合视角审视联盟组合,结合动态关系观探讨有效的联盟治理机制,揭示了联盟组合中竞合关系(横向竞合、纵向竞合)、治理机制(契约治理、关系治理)和创新绩效之间的关系,并考察了动态环境特征(技术波动、竞争强度)的二次调节作用。在不同的竞合关系中,由于合作和竞争的强度不同,契约治理与关系治理机制的作用也存在差异,同时,治理机制与创新绩效之间的关系也受到两种不同环境动态性特征的影响。研究结果显示,在纵向竞合中,运用关系治理比运用契约治理能更好地提升创新绩效,技术波动正向调节契约治理、关系治理与创新绩效间的关系。在横向竞合中,运用契约治理比运用关系治理有效,竞争强度加强了契约治理对创新绩效的影响,即关系治理在波动的环境中更有效,契约治理在竞争的环境中更有效。本文为企业开展研发联盟组合管理提供了新的视角和管理对策。     

中国工业行业碳强度的因素分析——基于超越对数生产函数

为探究工业行业碳强度变化的成因,基于Kaya恒等式的碳强度分解,以碳强度表示产出,以经济增长、能源消费量、能源消费结构和技术进步为投入要素构建超越对数生产函数,通过各要素的碳强度产出弹性反映各要素对碳强度的贡献;并运用通径分析法进一步揭示各要素间的相互关系及其与碳强度的直接和间接关系。结果表明:能源消费结构的优化和技术进步抑制了工业行业碳强度的增长,能源消费量的增长和工业增加值的增长拉动了碳强度的增长,其中能源消费结构和能源消费量对工业行业碳强度的影响显著,因此降低工业行业碳强度的关键在于减少能源消费结构和能源消费量的碳强度产出弹性;能源消费量、工业增加值和能源消费结构对能源消费量的碳强度产出弹性起直接推动作用,技术进步起直接抑制作用;工业增加值和能源消费量对能源消费结构的碳强度产出弹性起直接推动作用,技术进步和能源消费结构起直接抑制作用。可见,工业行业对能源消费的依赖性较强,降低工业行业碳强度应主要依靠技术进步转变能源利用方式,提高能源效率,优化能源消费结构。     

多相感应电机任意非正弦气隙磁密的磁动势分析与应用

多相感应电机转矩密度的提高依赖于非正弦气隙磁密行波的合理构建,由于传统的电流相位、幅值控制策略无 法给出期望的非正弦磁密行波,因此文章研究了控制多相感应电机定子相电流中基波和谐波幅值、相位、频率的大小来 构建期望的气隙磁密波形的方法、首先基于单根载流导体产生的气隙磁动势波形,推导了任意相数、不对称、包含任意 高次谐波电流波形激励的具有典型绕组结构的多相感应电机的磁动势分布表达式。根据以上磁动势分析结论,多相电 机可通过变电流相序变极。针对气隙磁密行波逼近方波波形的案例,根据所提出的磁动势分析方法分析和预测了理想 空载励磁电流的波形。将预测波形和方波供电下的励磁电流波形进行了比较,从FFT分析结果来看,仍需微调各次谐波 电压相位,从而实现各次电流相位完全一致。     

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.