农村经济、社会福利与区域非均衡性研究

我国农村经济增长与社会福利存在明显的区域非均衡性,二者均呈现出自东部向西部递减的规律;大部分省、市经济增长和社会福利的耦合度经历了从勉强协调向基本协调过渡的发展过程,二者的协调程度还有进一步提升的空间;经济增长指数与耦合度表现出了一致的波动性,经济子系统对整个系统具有牵引作用.当前,加快发展农村经济,扩大对农村地区的必要性供给,推进农村地区的城镇化进程是实现我国农村地区经济增长与社会福利协同发展的有效途径.     

自然灾害冲击对农村家庭非农就业选择的影响

利用国家重点研发计划重点专项2018年调研数据,构建了自然灾害冲击对农村家庭非农就业选择影响的理论框架,采用Probit模型验证了自然灾害冲击对农户家庭成员非农就业选择的影响。研究发现:自然灾害冲击对农户家庭成员非农就业选择有显著正向影响,这一正向影响会随着自然灾害强度的增加而不断提升;人力资本和社会资本的嵌入,会弱化自然灾害对农户家庭成员非农就业选择的影响,信贷约束却会强化这一影响。这意味着现阶段面对自然灾害冲击,农户家庭成员应积极尝试非农就业,不仅能够促进资本存量重构,还可以缓解家庭生计压力,增加农户家庭收入,避免农户家庭因灾致贫。     

Analysing non-doctrinal socialization: re-assessing the role of cognition to account for social cohesion in the Religious Society of Friends

To incorporate newcomers into membership, a group employs socialization strategies to transform the characteristics of the newcomers, so that it can admit them with the confidence that their behaviour will not endanger group unity. Analyses of socialization emphasize that novices' interiorization of an institutional definition of group behaviour is a necessary condition to ensure successful socialization. The contemporary Religious Society of Friends in Britain, however, is a non-doctrinal religious movement that avoids defining the content of its beliefs and practices. To analyse the socializing interaction between members and newcomers in this movement in Britain, and among co-religionists in the USA, this inquiry applies a model of socialization that does not include assumptions about the role played by cognition in socialization (Long and Hadden 1983). My results show that: (a) the diffuseness in Friends' collective explanations of institutional conduct supports novices' identification with institutional practice, and (b) experimental and affective components in socialization motivate novices to imitate institutional behaviour despite the fact that Friends have no authoritative explanations of such behaviour. The data suggest that socialization and social cohesion are not necessarily as strongly cognitive-oriented phenomena as they were previously thought to be. This finding has important implications for thinking about social cohesion in postmodern society.     

Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis,United States

Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation. Currently there is a general lack of methodology for examining the relationship between land surface temperatures (LST) derived from TIR data and landscape patterns extracted from optical sensors. A separation of landscapes into values directly related to their scale and signature is a key step. In this study, a Landsat ETM+ image of Indianapolis, Unites States, acquired on June 22, 2000, was spectrally unmixed (using spectral mixture analysis, SMA) into fraction endmembers of green vegetation, soil, high albedo, and low albedo. Impervious surface was then computed from the high and low albedo images. A hybrid classification procedure was developed to classify the fraction images into seven land use and land cover (LULC) classes. Using the fractional images, the landscape composition and pattern were examined. Next, pixel-based LST measurements were correlated with the landscape fractional components to investigate LULC based relationships between LST and impervious surface and green vegetation fractions. An examination of the relationship between the LULC and LST maps with landscape metrics was finally conducted to deepen understanding of their interactions. Results indicate that SMA-derived fraction images were effective for quantifying the urban morphology and for providing reliable measurements of biophysical variables. LST was found to be positively correlated with impervious surface fraction but negatively correlated with green vegetation fraction. Each temperature zone was associated with a dominant LULC category. Further research should be directed to the theoretical and applied implications of describing such relationships between LULC patterns and urban thermal conditions.

Two preprocessing algorithms for climate time series

We propose two preprocessing algorithms suitable for climate time series. The first algorithm detects outliers based on an autoregressive cost update mechanism. The second one is based on the wavelet transform, a method from pattern recognition. In order to benchmark the algorithms'' performance we compare them to existing methods based on a synthetic data set. Eventually, for exemplary purposes, the proposed methods are applied to a data set of high-frequent temperature measurements from Novi Sad, Serbia. The results show that both methods together form a powerful tool for signal preprocessing: In case of solitary outliers the autoregressive cost update mechanism prevails, whereas the wavelet-based mechanism is the method of choice in the presence of multiple consecutive outliers.     

Building buy-in: The need for internal relationships and informal coalitions

Significant research has focused on influencing senior leadership, and this study offers new insights into building internal relationships and informal coalitions to provide strategic counsel. These strategies involve internal communications, a neglected area of research and practice. The findings are based on in-depth interviews with 30 executives representing multiple departments in four U.S. companies. A new role justifying public relations’ membership in executive decision teams is internal boundary spanning or gathering intelligence internally across business units, and requires public relations to have a seat at multiple decision tables.     

The local geographies of welfare in Tunisia: Does neighbourhood matter?*

Amara M, Ayadi M. The local geographies of welfare in Tunisia: Does neighbourhood matter? The aim of this article is to show that spatial analysis techniques outperform non‐spatial statistical counterparts for understanding the geographic determinants of welfare and poverty in Tunisia. First, an Exploratory Spatial Data Analysis, based on a Geographical Information System, was conducted to visualise the local spatial structure of welfare. Second, a spatial autoregressive (SAR) model and a geographically weighted regression (GWR) model, respectively, were used to deal with both spatial autocorrelations and unobserved spatial heterogeneity of households' behaviours. Spatial and non‐spatial models were compared according to their predictive performances. Results of this case study confirm that SAR and GWR spatial models are preferable to the traditional non‐spatial regression model and that they give a better approximation of the Tunisian poverty map.     

反周期J-自伴Hill算子的谱

给出了带有复值周期系数q（x）=^∞Σk=1ake^ikx（其中^∞Σk=1∣ak∣〈∞）的常型J-自伴Hill算子在反周期边界条件下的Floquet判别式及其谱.     

Organizational Sustainability and Systemic Boundary Processes

Abstract

Every day, managers work to sustain the organizations wherein they work. In this article, the authors examine certain systemic boundary processes that are intrinsic to organizations and their sustainability. For readers of this journal, whose name points to the inherent connection between organizations and society, the authors present an argument that organizational boundary processes and their influence on organizational sustainability are important considerations for those of us interested in a viable future for our society. The importance of these processes for managers also is indicated.