2＋1模式下高职毕业论文中存在的问题及对策--以浙江汽车职业技术学院物流管理专业为例

文中从浙江汽车职业技术学院物流管理专业“2＋1”教学模式学出发,分析了造成毕业论文质量低下、抄袭严重的原因,并提出了对毕业论文管理模式改革的思考。     

基于G1法的高校财务风险预警指标体系权重确定

随着近几年高校招生规模的扩大、投资的增加、举债经营风险和校办产业风险的加大等新问题对高校总体财务状况的影响越来越大。针对这些问题,文章根据高校财务风险评价指标构建原则,构建一套高校财务风险预警指标体系。在此基础上,运用G1法确定指标权重,建立财务风险预警指数计算模型,使管理者能方便、快捷计算出风险综合指数,判断财务状况,作出正确决策。     

考虑批量订货的易腐农产品配送中心选址方法

为提高物流管理绩效、降低物流运作成本,考虑到配送中心的批量订货和作业能力限制,建立了易腐农产品配送中心选址问题的0-1整数非线性规划模型,并利用Lingo 9.0软件进行了模型求解.利用该模型可以确定配送中心的位置和各配送中心与零售店之间的配送关系,并可得到配送中心的订货周期和订货批量.最后,通过算例验证了模型的有效性.     

Brain drain or brain bank? The impact of skilled emigration on poor-country innovation

The development prospects of a poor country or region depend in part on its capacity for innovation. In turn, the productivity of its innovators, whom are often concentrated around urban centers, depends on their access to technological knowledge. The emigration of highly skilled individuals weakens local knowledge networks (brain drain) but may also help remaining innovators access valuable knowledge accumulated abroad (brain bank). We develop a model in which the size of the optimal innovator Diaspora depends on the competing strengths of co-location and Diaspora effects for accessing knowledge. Then, using patent citation data associated with inventions from India, we estimate the key co-location and Diaspora parameters. The net effect of innovator emigration is to harm domestic knowledge access, on average. However, knowledge access conferred by the Diaspora is particularly valuable in the production of India’s most important inventions as measured by citations received. Thus, our findings imply that the optimal emigration level may depend, at least partly, on the relative value resulting from the most cited compared to average inventions.     

How do very open economies adjust to large immigration flows? Evidence from Spanish regions

We study the labor market effects of the large immigration wave in Spain between 2001 and 2006. In this period the foreign-born share increased from 6% to 13%, with a total inflow exceeding three million immigrants. Our analysis exploits the large variation in the size of immigration flows across Spain's regions. To identify causal effects, we take advantage of the fact that immigrants' location choices were strongly driven by early migrant settlements that arrived during the 1980s. We find that the relatively unskilled migration inflows did not affect the wages or employment rates of unskilled workers in the receiving regions. The growth of the unskilled labor force was absorbed mostly through increases in total employment. This increase did not originate in changes in the composition of regional output, but was instead driven by changes in skill intensity at the industry level. Regions that received a large inflow of unskilled immigrants increased the intensity of use of the now more abundant (unskilled) labor, relative to other regions. The key industries responsible for this absorption were retail, construction, hotels and restaurants and domestic services. These results are inconsistent with standard open economy models but are in line with recent empirical studies for the United States and Germany.     

Selection of influential variables in ordinal data with preponderance of zeros

Presence of excess zero in ordinal data is pervasive in areas like medical and social sciences. Unfortunately, analysis of such kind of data has so far hardly been looked into, perhaps for the reason that the underlying model that fits such data, is not a generalized linear model. Obviously some methodological developments and intensive computations are required. The current investigation is concerned with the selection of variables in such models. In many occasions where the number of predictors is quite large and some of them are not useful, the maximum likelihood approach is not the automatic choice. As, apart from the messy calculations involved, this approach fails to provide efficient estimates of the underlying parameters. The proposed penalized approach includes ?₁ penalty (LASSO) and the mixture of ?₁ and ?₂ penalties (elastic net). We propose a coordinate descent algorithm to fit a wide class of ordinal regression models and select useful variables appearing in both the ordinal regression and the logistic regression based mixing component. A rigorous discussion on the selection of predictors has been made through a simulation study. The proposed method is illustrated by analyzing the severity of driver injury from Michigan upper peninsula road accidents.     

等概率条件下的转弯型堆垛机作业效率的计算研究

转弯型堆垛机是自动化立体仓库中实现货物自动存取的关键设备,文中对转弯型堆垛机效率问题进行研究。在假定等概率拣取货物的条件下,分别推求转弯型堆垛机的平均单一作业和复合作业循环周期和作业效率的计算公式,并利用华南理工大学仓储综合实验室的基本数据进行了作业效率的实证计算,从而为自动化立体仓库系统的建设设计和有效管理提供依据。     

基于灰灾变预测的“牛鞭效应”解决办法

简要介绍了灾变灰预测理论,并将此理论用于零售终端企业的库存控制,通过零售商的合理库存预测来减轻牛鞭效应的影响。之后给出实际案例进行了相关的研究和分析,证明灾变灰预测是减轻牛鞭效应的很好思路。     

Optimal risk taking in an uneven tournament game with risk averse players

We analyze the optimal choice of risk in a two-stage tournament game between two players that have different concave utility functions. At the first stage, both players simultaneously choose risk. At the second stage, both observe overall risk and simultaneously decide on effort or investment. The results show that those two effects which mainly determine risk taking – an effort effect and a likelihood effect – are strictly interrelated. This finding sharply contrasts with existing results on risk taking in tournament games with symmetric equilibrium efforts where such linkage can never arise. Conditions are derived under which this linkage leads to a reversed likelihood effect so that the favorite (underdog) can increase his winning probability by increasing (decreasing) risk which is impossible in a completely symmetric setting.     

Revisiting the relationship between suicide and unemployment: Evidence from linear and nonlinear cointegration

This study employs the linear and nonlinear ARDL cointegration methodologies to examine the potential symmetric and asymmetric responses of suicide rates to unemployment rates in the US from 1928 to 2013. Our results suggest that suicide rates are pro-cyclical with respect to the business cycle (measured by changes in the unemployment rate) after extensively controlling for divorce and fertility rates. Unemployment has symmetric long-run effects on the age-adjusted suicide rate and four age-specific (from ages 25–34 to 55–64) suicide rates, while the effect of an economic expansion on suicide rates for those aged over 45 is greater than the effect of an economic recession. These findings imply that the effect of an economic expansion on the decrease of the suicide rate is higher than the effect of an economic recession on the increase of the suicide rate for individuals aged over 45. Therefore, intervention designed to reduce suicidal behaviors should emphasize periods of economic recession more than periods of economic expansion for those of middle age and beyond.