城乡人力资本投资行为关系研究——基于城镇示范性效应的分析视角

本文通过构建带有城镇示范性效应的农村人力资本投资理论模型,考察城镇人力资本投资对农村人力资本投资行为示范性影响效应。首先对模型中反映示范性效应的变量进行了ADF平稳性检验,初步判断出农村人力资本投资行为中城镇示范性效应影响的存在性。在此基础上构建基于OLS的误差修正模型分析检验城镇对农村人力资本投资的示范带动性效应及其程度。     

Enhancing adaptive transfer of cross-cultural training: Lessons learned from the broader training literature

Drawing insights from the broader training literature, we argue that evaluation of cross-cultural training effectiveness should adopt comprehensive criteria, including cognitive, skill-based, and affective learning outcomes as well as adaptive transfer. We propose that the integration of an error management supplement in cross-cultural training can enhance trainee acquisition of self-regulation skills and self-efficacy that facilitate adaptive application of learning to novel cultural situations. In addition to the traditional error management training designs (i.e., positive error framing), the current paper describes additional design elements to promote acquisition of cognitive strategies, prevent premature automaticity, alleviate concerns about error occurrence during learning, and enhance readiness to transfer. In addition, we offer propositions regarding the effects of the supplement on learning and transfer outcomes, along with implications for future research and practice on cross-cultural training.     

Fundraising under two-dimensional asymmetric information: the case of mindless donations

The paper develops a model of charity’s choice of fundraising method under two dimensions of asymmetric information, quality and purpose. The main implication from this model is a separating equilibrium where the higher-quality charity uses a traditional fundraising method, while the lower-quality one exploits a low-stakes, take-it- or leave-it, ‘mindless’ method. Empirical results support the hypothesis that charities of lower quality are more likely to adopt the mindless fundraising method. Even so, consumers still choose to give in the equilibrium, due to the small requested amount of mindless donations, which disincentivizes serious thinking by consumers. The mindless method, along with purpose uncertainty, has the potential to alleviate the free-riding problem that is characteristic of public good provision and is, therefore, welfare improving.     

基于PSO-SAS的联合侦察任务规划

针对联合侦察筹划中任务规划阶段机动侦察平台阵位与路线确定困难的问题，提出了一种基于粒子群优化-稀疏A星(Particle Swarm Optimization—Sparse A-star,PSO-SAS)算法的规划方法。该方法综合考虑侦察装备机动性能以及敌火力威胁、地形等因素，在侦察阵位规划上，建立了阵位综合评估模型，并利用粒子群算法进行阵位寻优；在路线规划上，采用稀疏A*算法进行航迹规划，通过将机动性能、安全距离、路程等约束引入搜索过程，缩短最优路线的计算时间。仿真试验验证了所提方法生成的侦察阵位和路线能够满足侦察任务要求。     

Excessive Financial Support,Real Estate Development and Macroeconomic Growth: Evidence from China

ABSTRACT

Using monthly panel data for China’s 30 provinces from 2007 to 2017, this article analyzes how level of financial support affects the interplay between real estate development and macroeconomic growth. Based on a threshold model, the results suggest that housing price increases substantially impede economic growth, but there is no significant threshold effect for the sample as a whole. On investigating regional cross-sectional variations, we found that local economic situation clearly impacts on this effect, with significant threshold effects detected in subsamples. While housing price may have positive influences on economic growth in the mid-west subgroup with appropriate financial support, more developed regions returned contrary results.     

产销不平衡运输问题的遗传算法研究

根据运输问题的特点和要求,在运输成本最低的基础上,构建了产销不平衡运输问题的数学模型,并将该模型转换为产销平衡的运输问题,然后把遗传算法引入到模型的求解中,通过选择恰当的编码方法和遗传算子,求得模型的最优解。     

Profiling high-frequency equity price movements in directional changes

Market prices are traditionally sampled in fixed time intervals to form time series. Directional change (DC) is an alternative approach to record price movements. Instead of sampling at fixed intervals, DC is data driven: price changes dictate when a price is recorded. DC provides us with a complementary way to extract information from data. It allows us to observe features that may not be recognized in time series. The argument is that time series and DC-based analysis complement each other. With data sampled at irregular time intervals in DC, however, some of the time series indicators cannot be used in DC-based analysis. For example, returns must be time adjusted and volatility must be amended accordingly. A major objective of this paper is to introduce indicators for profiling markets under DC. We analyse empirical high-frequency data on major equities traded on the UK stock market, and through DC profiling extract information complementary to features observed through time series profiling.     

科技人才组织领地行为如何影响其离职意向

基于资源保存理论视角,以科技人才为研究对象,关注其组织领地行为对离职意向的影响机制,并探究心理所有权的中介作用、婚姻的调节作用以及婚姻与心理所有权共同产生的被调节的中介作用。建立基于科技人才婚姻情况与心理所有权的被调节的中介作用模型,运用问卷调查方法收集全国各地高新技术企业、高等院校、科研院所等科技人才共411份有效问卷,展开实证分析。结果表明：不考虑婚姻的调节作用时,科技人才组织领地行为对离职意向的直接影响不显著,心理所有权对这种直接影响也无中介作用;考虑到婚姻的调节作用,未婚群体的组织领地行为越强,离职意向越强烈;在被调节的中介作用模型中,婚姻状况在心理所有权对组织领地行为与离职意向间的中介作用起到了调节作用,具体表现为未婚群体组织领地行为通过组织心理所有权的部分中介作用负向影响离职意向,通过直接影响机制正向影响离职意向。     

OFDI逆向技术溢出、制度质量与区域创新能力

基于2005—2016年我国省际面板数据,首先通过OLS、DIFF GMM、SYS GMM3种基准线性回归方法论证了OFDI逆向技术溢出对我国区域创新能力的促进作用。以OFDI为核心解释变量,分别构建以地区腐败、市场化程度和知识产权保护为门槛变量的动态门槛回归模型。结果发现：随着地区腐败程度加深,我国区域创新能力逐渐减弱;以市场化程度、知识产权保护为门槛变量,跨越门槛点后OFDI对我国区域创新能力的拉动作用依次增强。最后,结合面板向量自回归模型进一步研究对外直接投资过程中地区腐败、市场化程度和知识产权保护对区域创新能力的动态即期冲击。结果显示:市场化程度单位变动对区域创新能力的影响呈现正向冲击且持续性较强,知识产权保护对区域创新能力的拉动最为迅速但后期持续性较弱,地区腐败对区域创新能力产生负向冲击作用。