Faking it: Personality and individual difference predictors of willingness to buy counterfeit goods

Counterfeiting is now widely regarded as a serious social, economic, and political issue. This study examined demographic, personality, and individual difference predictors of willingness to buy counterfeit goods (WBCG) in a community sample of British adults. Two-hundred and thirty-seven participants completed a questionnaire that assessed their willingness to buy 19 types of counterfeit goods, attitudes towards counterfeiting, material values, Big Five personality traits, and demographics. Structural equation modelling showed that attitudes towards counterfeiting were the strongest predictors of WBCG. In addition, material values predicted both WBCG directly and indirectly through attitudes towards counterfeiting. Older participants showed lower WBCG, although this effect was moderated by participants’ conscientiousness, material values, and attitudes towards counterfeiting. There were no sex differences in WBCG once participants’ age and conscientiousness had been taken into account. These results are discussed in relation to the extant literature on the profiles of consumers who buy counterfeit products.     

空间相互作用与城市经济增长--来自长三角的证据

基于以往研究对空间相互作用方向性考虑不足的事实,文章以长三角133个县市为例,构建了融合新经济地理学与中心地理论的理论框架,将表征空间需求关联的总体市场潜能细分为来自同层级、高等级、低等级三个方向,利用空间计量模型估计了总体及不同方向的空间相互作用对长三角地区人均GDP增长与人口增长的效应。结果显示：在控制空间依赖导致的间接溢出效应等因素后,并未发现存在要素价格绝对调整或要素数量绝对调整的证据,总体市场潜能的提高同时促进了城市人均GDP增长与人口增长;就不同方向的空间相互作用而言,大城市的自身发展有利于中等城市的人均GDP增长,大城市之间、大城市对下级城市、小城市对上级城市形成了人口增长的良性互动格局,而中等城市之间以及中等城市对大城市的人口增长则表现为回流效应。     

美国互联网过滤制度研究

美国互联网过滤制度是指美国联邦政府以扣减联邦补贴作为强制手段,要求公立中小学、博物馆和图书馆过滤互联网上对未成年人有害信息的法律制度。透过相关法律的制定过程、概念、特征、主要措施、落实情况,以及治理模式及其背后的政治、经济、社会和技术原因,提出四点启示：遵循互联网信息传播规律,采用间接监管和共同治理方式,减少对企业的限制和负担,减少对成年人的妨碍等。     

宗族势力对城乡结合部乡村治理的负面影响及对策——基于对Ｓ省Ｗ村的调研

城镇化进程中,宗族势力已成为城乡结合部乡村治理过程中的重要阻力。如何消除宗族势力对城乡结合部乡村治理的负面影响,加强农村的基层民主建设,完善乡村治理结构,已成为社会管理的难点问题。基于对我国 S 省 W 村的实地调研,列举了宗族势力对城乡结合部乡村治理在负面影响方面的两大表现,分析了产生负面影响的原因,并提出了消除负面影响的对策建议。     

应用同伦正则化算法反演二维溶质运移模型中的弥散系数

利用同伦正则化算法探讨了二维对流弥散方程的依赖空间变量的弥散系数反演问题.讨论了初始迭代值、数值微分步长、以及收敛精度对算法实现的影响.数值模拟表明,同伦正则化算法对于此类参数反演问题是一种有效的方法.     

Schematic saturated orthogonal arrays obtained by using the contractive replacement method

This paper presents a general method of constructing schematic saturated orthogonal arrays of strength two. We consider a class of mixed saturated orthogonal arrays produced from saturated symmetric orthogonal arrays by using the contractive replacement method, study the Hamming distances of the rows, construct their association schemes, and prove that they are schematic. Some examples are given to illustrate this construction method.     

Decomposition of the main effects and interaction term by using orthogonal polynomials in multiple non symmetrical correspondence analysis

The multiple non symmetric correspondence analysis (MNSCA) is a useful technique for analyzing a two-way contingency table. In more complex cases, the predictor variables are more than one. In this paper, the MNSCA, along with the decomposition of the Gray–Williams Tau index, in main effects and interaction term, is used to analyze a contingency table with two predictor categorical variables and an ordinal response variable. The Multiple-Tau index is a measure of association that contains both main effects and interaction term. The main effects represent the change in the response variables due to the change in the level/categories of the predictor variables, considering the effects of their addition, while the interaction effect represents the combined effect of predictor categorical variables on the ordinal response variable. Moreover, for ordinal scale variables, we propose a further decomposition in order to check the existence of power components by using Emerson's orthogonal polynomials.     

Combined asymmetric spatial weights matrix with application to housing prices

In this study, a combined asymmetric spatial weights matrix is proposed for capturing the unequal spatial dependence of housing prices, where the advantage of this matrix was demonstrated by a non-nested hypothesis test. To explore the heterogeneous spatial impacts of urban essential characteristics on housing prices over the eastern, central, and western regions of China, after the Lagrange multiplier and likelihood ratio tests, the spatial Durbin model using the proposed weights matrix was applied to each region. The estimation results showed that the direct impacts of college and new employment were significantly negative in the eastern region, but not significant in the central and western regions. By contrast, the direct impacts of hospitals and scenic spots were significantly positive in eastern China, but not significant in central and western China. In addition, the indirect impacts of the four variables were not significant in the three regions. These results suggest that in eastern China, the government may increase the requirements for using medical resources and close tourist attractions in a single city to cool down the skyrocketing housing prices in this area.     

Palm Distributions for Log Gaussian Cox Processes

This paper establishes a remarkable result regarding Palm distributions for a log Gaussian Cox process: the reduced Palm distribution for a log Gaussian Cox process is itself a log Gaussian Cox process that only differs from the original log Gaussian Cox process in the intensity function. This new result is used to study functional summaries for log Gaussian Cox processes.     

Threshold Estimation for Stochastic Processes with Small Noise

Consider a process satisfying a stochastic differential equation with unknown drift parameter, and suppose that discrete observations are given. It is known that a simple least squares estimator (LSE) can be consistent but numerically unstable in the sense of large standard deviations under finite samples when the noise process has jumps. We propose a filter to cut large shocks from data and construct the same LSE from data selected by the filter. The proposed estimator can be asymptotically equivalent to the usual LSE, whose asymptotic distribution strongly depends on the noise process. However, in numerical study, it looked asymptotically normal in an example where filter was chosen suitably, and the noise was a Lévy process. We will try to justify this phenomenon mathematically, under certain restricted assumptions.