人口年龄结构、消费结构与产业结构协调发展研究——基于系统耦合协调度模型测度

文章采用我国30个省（自治区、直辖市）2005—2018年面板数据,运用三系统耦合模型,测算人口年龄结构、消费结构与产业结构三系统耦合协调度。测算结果显示：我国人口年龄结构-消费结构-产业结构三系统耦合协调度水平较低,但总体呈逐年上升态势。为进一步揭示三系统耦合协调度形成动因,通过考察人口年龄结构、消费结构、产业结构两两组合的两系统耦合协调对三系统耦合协调的影响,采用空间重心模型分析各两系统的空间匹配程度,发现由于消费结构-产业结构两系统的空间匹配程度增加,逐步凸显了消费结构-产业结构耦合协调对三系统耦合协调的支撑作用;而人口年龄结构-产业结构两系统空间配置效率的下降阻碍了其对三系统耦合协调支撑作用。厘清了三系统耦合协调度形成的动因,并为提高其耦合协调度水平提供了对策措施。     

我国制造业FDI投资环境的实证分析

通过建立多元回归模型对我国制造业投资环境进行实证分析,发现近年来工资大幅上涨对我国制造业吸收外资存在负面影响,是造成近年来国内劳动密集型制造业外商投资企业"东南飞"以及外资回流母国的主要原因。然而我国拥有完善的工业产业配套设施、交通通讯基础设施,较高的资本贡献率和技术创新能力,总体来说对制造业外资仍然具有很大吸引力,目前出现的制造业外资撤离是低端制造业在国际范围内的结构性布局调整。     

泛渤海区域空间结构调整基本思路研究

划分区域的目的就是要政府协调解决其内部存在的主要矛盾和问题。立足于环渤海地区需要协调解决的突出问题,首先分析指出环渤海的范围主要应包括北京、天津、河北、山东、山西、内蒙中部4市,而不应包括辽宁。为与通常意义的环渤海有所区别,建议用“泛渤海”指代该区域。结合区域内现有的空间结构和发展趋势,提出了按照“四区五带”的总体空间架构调整目前的空间结构。随后的分析中重点阐释了城镇体系和产业布局的基本思路。     

重庆市县域商品房价格时空变化特征研究——基于空间统计分析法

以2005—2015年重庆市38个区（县）商品房价格数据为样本,利用空间自相关等空间统计分析方法对重庆市县域商品房价格的空间分布和时空演变特征进行研究。研究结果表明：渝东北地区商品房价格稳定性相对最好,渝西地区次之,渝东南地区再次之,主城区商品房价格稳定性最差;重庆市商品房价格具有较强的空间集聚性,但随着时间的推移,空间集聚性逐渐减弱,商品房价格空间差异逐渐缩小;重庆市商品房价格区域差异呈现明显的空间二元结构,房地产发展热点区域主要集中于主城九区,远郊区县的房地产发展相对缓慢。     

长江经济带旅游业碳排放强度的时空演变及其影响因素

文章通过利用长江经济带11个省市2010—2019年旅游业面板数据测算其旅游业碳排放强度,借助SDM模型,探究旅游业碳排放强度的时空演变及影响因素。结果表明:旅游业碳排放强度整体明显降低,其中以云南省、四川省和贵州省的碳排放强度下降幅度最大;碳排放强度在研究时期向着较高碳排放强度区域集中在中游地区的趋势发展,呈现碳排放强度“中间高,两侧低”的空间格局;产业结构与贸易依赖水平的间接效应和总效应分别表现出显著的抑制、促进效应,表明产业结构优化显著促进本地及相邻地区的旅游业碳排放强度下降,而贸易依赖水平提升效果相反。最后,文章对所得结论提出建议,旨在为旅游业实现低碳科学发展提供决策参考。     

金融发展与区域创新的交互影响

基于2008—2017年长三角地区41个地级市的数据,通过构建联立方程模型,考察金融发展与区域创新之间的交互影响,探讨两者的空间溢出效应与地区交互影响。研究发现：金融发展对区域创新的正向促进作用不受时间跨度影响,但区域创新对金融发展的影响存在时间跨度异质性,短期内区域创新对金融发展影响不确定,而长期内区域创新反向促进金融发展,忽略这种反向影响会显著高估金融发展对区域创新的促进作用;区域创新与金融发展均存在正向空间外溢性,临近地区金融发展促进本地区的区域创新,但临近地区区域创新对本地区的金融发展作用并不显著。金融发展与区域创新应当融合联动,互利共生,实现双赢。     

Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data

The extent of economic losses due to a natural hazard and disaster depends largely on the spatial distribution of asset values in relation to the hazard intensity distribution within the affected area. Given that statistical data on asset value are collected by administrative units in China, generating spatially explicit asset exposure maps remains a key challenge for rapid postdisaster economic loss assessment. The goal of this study is to introduce a top‐down (or downscaling) approach to disaggregate administrative‐unit level asset value to grid‐cell level. To do so, finding the highly correlated “surrogate” indicators is the key. A combination of three data sets—nighttime light grid, LandScan population grid, and road density grid, is used as ancillary asset density distribution information for spatializing the asset value. As a result, a high spatial resolution asset value map of China for 2015 is generated. The spatial data set contains aggregated economic value at risk at 30 arc‐second spatial resolution. Accuracy of the spatial disaggregation reflects redistribution errors introduced by the disaggregation process as well as errors from the original ancillary data sets. The overall accuracy of the results proves to be promising. The example of using the developed disaggregated asset value map in exposure assessment of watersheds demonstrates that the data set offers immense analytical flexibility for overlay analysis according to the hazard extent. This product will help current efforts to analyze spatial characteristics of exposure and to uncover the contributions of both physical and social drivers of natural hazard and disaster across space and time.     

The servant leadership advantage: When perceiving low differentiation in leader-member relationship quality influences team cohesion,team task performance and service OCB

How does servant leaders' unique ability to place each follower's needs above their own influence relationships between followers and impact their collective performance? In a study that integrates principles of servant leadership with the social comparison theoretical framework, we tested a group-level model to examine how servant leadership induces low perceived differentiation in leader-member relationship quality (perceived LMX differentiation) within a group, which strengthens team cohesion and in turn positively influences team task performance and service-oriented organizational citizenship behaviors (service OCB). Our sample comprised 229 employees nested in 67 work teams. Structural equation modeling results indicate that servant leadership significantly predicts low perceived LMX differentiation; perceived LMX differentiation is strongly related to team cohesion such that the lower the perceived differentiation, the stronger the team's cohesiveness. And, team cohesion is also strongly related to both the team's task performance and service OCB. Perceived LMX differentiation and team cohesion mediate the effect of servant leadership on both team task performance and service OCB.     

Doing gender in the ‘new office’

This paper investigates how gender is performed in the context of an office setting designed to promote intensive, fluid networking. We draw on an ethnographically oriented study of the move of staff into a new office building constructed primarily from glass, and incorporating open plan offices, diverse collective areas and walking routes. Although the designers aimed to invoke changes in the behaviour of all staff, they conceptualized these changes in masculine terms. We therefore analyse the gender norms materialized by the workspaces of the ‘new office’ and how women responded to these. We suggest that the new office encourages an image of the ideal worker which brings together ways of acting and interacting that have been characterized as both masculine and feminine — active movement and spontaneous encounters, but also intensive face‐to‐face interaction and deep relationship‐building. Women are driven into this mode of working in an uncompromising, almost aggressive way, but a straightforward gender‐based dynamic does not emerge in their responses, with conventional gender characteristics being reshuffled and recombined.     

Testing spatial randomness based on empirical distribution function: A study on lattice data

In this article, we extended the empirical distribution function based test statistic _Ik$I_k$ of Skaug and Tjostheim [1993. Nonparametric test of serial independence based on the empirical distribution function. Biometrika 80, 591–602] in the time series setting to _Dn$D_n$ for spatial lattice data and derived the asymptotic distribution of the proposed test statistic _Dn$D_n$ under the null hypothesis of spatial independence. The size and power of the proposed test statistic under conditional autoregressive model (CAR) were simulated. We applied _Dn$D_n$, Moran's I and Geary's c   to the transformed and well-studied sudden infant death syndrome data from North Carolina and found that _Dn$D_n$ produced a much smaller p$p$-value in testing spatial independence.