团队科学创造力的提升需重视团队成就目标导向——被调节的中介效应

基于创造力成分等多维理论，构建以团队反馈寻求行为为中介变量，团队凝聚力为调节变量的被调节的中介效应模型，以期深入解释创新团队成就目标导向如何影响其团队科学创造力。基于129个理工科大学生科技创新团队数据，研究结果表明，团队学习目标导向和团队表现目标导向分别与团队科学创造力有显著的正向和负向关系；团队反馈寻求行为在团队成就目标导向与团队科学创造力间起部分中介作用；团队凝聚力负向调节团队反馈寻求行为与团队科学创造力间的关系，并弱化了团队成就目标导向通过团队反馈寻求行为对团队科学创造力的间接影响。结论对提高科技创新团队科学创造力有一定指导价值。     

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。     

Flight‐to‐safety and the credit crunch: a new history of the banking crises in France during the Great Depression†

Despite France's importance in the interwar world economy, the scale of the French banking crises of 1930–1 and their consequences have never been fully assessed quantitatively. The lack of banking regulation severely limited the availability of balance sheet data. Using a new dataset of individual balance sheets from more than 300 banks, this article shows that the crises were much more severe than previously thought, although they did not affect the main commercial banks. By reconstructing financial flows, this study shows that the fall in bank credit was mostly driven by a flight‐to‐safety by deposits, from banks to savings institutions and the central bank. The decrease in bank deposits due to bank runs was offset by an increase in deposits with savings institutions, with the central bank, and in cash hoarding, whereas the decrease in bank credit was not offset by an increase in loans from non‐bank financial institutions. In line with the gold standard mentality, cash deposited with savings institutions and the central bank was used to decrease marketable public debt and increase gold reserves, rather than pursuing countercyclical policies. Despite massive capital inflows and rising aggregate money supply, France suffered from a severe, persistent credit crunch.     

Does educational diversity of managers matter for the performance of team‐managed funds?

We study the effect of the educational diversity of managers on the performance of team‐managed mutual funds using a large sample of U.S. equity funds from 1994 to 2013. We consider diversity in terms of both final educational degree and field of educational specialisation. We find that, in general, both types of diversity have a positive impact on fund performance, and our results are robust over a wide range of performance metrics and changes in market conditions.     

Engineering the Financialization of Urban Entrpreneurialism: The JESSICA Urban Development Initiative in the European Union

Urban entrepreneurialism and neoliberal urban governance are assuming new forms under finance‐dominated accumulation. We examine and contribute to theorizing the mechanisms through which urban governance is financialized, taking as a case study JESSICA, one of the European Union's initiatives to implement an ‘urban sensitive’ policy for sustainable and integrated development. Like other initiatives promoting financialization, JESSICA deploys the logic of finance to select and fund urban social initiatives and development projects on the basis of their potential return on investment (ROI). Understanding this process requires placing questions of political economy—how urban governance is shaped by the broader political‐economic context—with questions of governmentality—how stakeholders are enrolled in and come to take for granted new governance initiatives. Following the multi‐scalar institutional infrastructure is crucial to understanding how this works. Taking a relational multi‐scalar approach, we trace how changes at the supranational scale filter down to shape urban policy selection and performance in Sofia, Bulgaria, where we document how ROI calculations conflict with social welfare priorities. Contrasts between the trajectory of financialization of urban governance in the European Union and the United States demonstrate how this is geographically variegated, shaped by the broader context/conjuncture within which such financialization is embedded.     

The Moderating Effects of Status-Consumption Motive and Age in the Relationship between CSR Advertising Appeal Type and Purchase Intentions

The primary purpose of this study was to examine factors that influence the effectiveness of benefit appeal types (i.e., help-other vs. help-self) in Corporate Social Responsibility advertising. To that end, we designed and administered a between-subjects experiment where participants viewed one of the two CSR advertisements crafted with help-self and help-other benefit appeals. Results provided evidence supporting the moderating effects of status-consumption motives and age on purchasing intentions. Additional analysis suggested consumers younger than 48 years old were more likely to be persuaded by a help-other ad appeal when they didn't have strong desires for status consumption. Results were discussed in light of the self-concept theory and value-expressive framework in CSR advertising.     

The Socio-scientific Construction of Global Climate Crisis

This article adapts and applies a securitisation framework to produce an analytical explanation for the heightened geopolitical status of climate change over the past decade, as demonstrated by the breakthrough Paris Agreement of 2015. Rather than speech acts invoking security, the focus of this analysis is on the socio-scientific discourse of global climate crisis that emerged in the several year period leading to the 2009 COP 15 conference in Copenhagen. Two types of experts—contributory and interactional—are identified as the essential and interdependent actors that engaged in ‘crisification’, a novel crisis-based perspective on political agenda setting, in which climate crisis served as a primary discursive device employed by prominent advocates of urgent action. Contributory experts, that is, authoritative climate scientists and their institutions, together with interactional experts—non-scientist social actors who appropriated and mediated scientific data and knowledge in framing climate change as a global crisis—constituted an extended epistemic community of climate advocates. Through an array of speech acts, this extended community effectively co-constructed a convincing climate crisis discourse that consisted of quantitative data artefacts based on CO₂ concentration and global mean temperature, and qualitative invocations of existential threat to human civilisation, which contributed to the ascent of climate change on the global political agenda. In proposing crisification as a complement to securitisation, the article offers a theoretical innovation that facilitates constructivist analysis of issues framed as crises, including geopolitical problems in certain non-military sectors where crisis is a favoured label for perceived threats to core values.     

Why will Trump lose the trade war?

ABSTRACT

The escalating U.S.–China trade conflicts have increasingly shadowed the outlook of the world economy. The Trump administration aims to achieve its strategic goals including reducing current account deficits, promoting the U.S. manufacturing sector, and curbing Chinese high-tech industries by waging the trade war against China. This paper argues that the current account deficits and the declining manufacturing sector in the U.S. are mainly driven by its internal structural factors, such as low saving rates, high labor costs, and rising service sector, rather than by the import competition from China. Moreover, the trade war further deteriorates the U.S. current account deficits and erode its comparative advantage, and it forces China to invest more in technological innovation and human capital, and thus promote its progress in high-tech industries. Thus, the U.S. will not be able to achieve its strategical goals and eventually lose the trade war.     

基于冠层光谱和BP神经网络的水稻叶片氮素浓度估算模型

[目的]快速、准确地诊断水稻叶片氮素营养状况,为水稻氮肥精准管理提供依据。[方法]以江西省农科院8种不同施肥处理的晚稻为研究对象,于主要生育期同步测定了水稻冠层光谱反射率及叶片全氮浓度(Leaf Nitrogen Concentration,LNC),系统分析了原始光谱反射率、一阶微分光谱、"三边"参数以及由350～1 350nm两两波段组合的差值(SD (Rλ1,Rλ2))、比值(SR (Rλ1,Rλ2))及归一化(ND(Rλ1,Rλ2))光谱指数与水稻LNC的相关关系,筛选出敏感参数,并以之为自变量构建了水稻LNC的传统预测模型,另外构建不同指标个数的多元线性与BP神经网络模型,并对模型进行验证。[结果](1)水稻LNC与一阶微分光谱在751nm处的相关性最高(r=0. 822);(2)"三边"参数中的红边面积SDr与LNC的相关性较高(r=0. 687);(3) 750nm附近的红边波段与近红外波段差值组合、550nm附近的绿光波段与近红外波段的比值及归一化差值组合与水稻LNC的相关性较高,以SD (R752,R751)、SR (R534,R1 350)和ND (R534,R1 349)表现最好,相关系数分别为0. 827、-0. 790和0. 788;(4)传统回归模型中以SD(R752,R751)构建的一元线性模型最佳(RC2=0. 665、RV2=0. 750、RMSEV=0. 4%、RPD=2. 034);(5)利用5个指标((R'751、SDr、SD (R752,R751)、SR (R534,R1 350)、ND (R534,R1 349))经逐步回归筛选出的2个指标SD ((R752,R751)和SR (R534,R1 350))构建预测水稻氮素的BP神经网络模型,预测效果最佳,其验证参数值分别为R2=0. 859、RMSEV=0. 302%和RPD=2. 669。[结论]基于单指标构建的传统线性模型计算过程简单但精度略低,而基于2个指标(SD (R752,R751)、SR (R534,R1 350))构建的BP神经网络模型预测精度高于该2指标构建的多元线性模型,表明在指标适合的情况下,BP神经网络对氮素具有较好的预测能力,是一种快速准确估算水稻叶片全氮浓度的方法。     

Information Entropy-Based Housing Spatiotemporal Dependence

The Journal of Real Estate Finance and Economics - In the existing housing literature, there has been no academic consensus on how to combine the spatial dependence and the temporal dependence...