Got milk? The rapid rise of China’s dairy sector and its future prospects

This paper synthesizes recent research and new empirical findings to build a more comprehensive understanding of developments in China’s dairy sector. China’s tremendous rise in dairy demand has been driven by several mutually reinforcing factors: including rapid income growth, promotion by the government and dairy industry, changes in urban lifestyles, and the development of new, more sophisticated marketing channels. Domestic milk output has grown to satisfy rising demand largely by increasing the dairy herd. Substantial increases in productivity have been achieved through technology adoption, but there is evidence that the torrid growth has created inefficiencies because adaptations to marketing rules, infrastructure, and institutions have not kept pace with the changing environment. These results suggest there is ample room for future growth in both domestic milk production and dairy demand, but multinational firms and imported products will likely play and increasing role as China’s dairy market continues to develop.     

我国商业银行效率影响因素的实证研究

本文应用DEA方法得到的各商业银行的效率值作为因变量,构建Tobit回归模型,研究影响商业银行效率的主要因素,进而提出了提高我国商业银行效率水平和竞争力的相关建议。通过本文的研究,主要得出如下结论:产权结构、创新程度、总资产收益率指标和银行效率显著正相关,总资产规模、成本收入比、股权集中度与银行效率显著负相关,其中总资产收益率对银行效率的影响最大。     

用普遍的人性来解释艺术—浅谈荣格的美学思想

荣格将人的心理结构分为意识、个人无意识和集体无意识三个层次，通过对集体无意识与创作过程、艺术作品、艺术家的关系的分析，以及对里比多理论在艺术创作中的阐述等，确立其美学理论的基本构架。他创立的精神分析学说对现代西方美学和文艺理论发展产生了巨大而又深远的影响。     

Application of multi-factor hierarchical fuzzy comprehensive evaluation model in risk assessment of gas exploration

This article classified gas exploration risk on the basis of the characteristics of oil-gas exploration investment projects, which are internal systems risk and external non-systemic risk. It described each classification specifically and introduced the basic principles and mathematical model of the multi-factor hierarchical fuzzy comprehensive judgment in detail, and then researched the conducts the risk of the gas exploration with examples.     

Environmental Valuation with Imperfect Information The Case of the Random Utility Model

This paper considers welfare analysis with therandom utility model (RUM) when perceptions ofenvironmental quality differ from objectivemeasures of environmental quality. Environmental quality is assumed to be anexperience good, so that while perceptions ofquality determine choices, ex postutility is determined by objective quality. Given this assumption, I derive a measure ofthe welfare impact of changes in environmentalquality, and I show how this new welfaremeasure differs from the traditional welfaremeasure developed by Hanemann (1982). This newwelfare measure provides an approach tomeasuring the value of information aboutenvironmental quality within the framework ofthe random utility model.     

Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.     

What＇s So Special about China＇s Exports？ A Comment

Dani Rodrik argues that China's exports are unusually sophisticated for a country at its income level. He also claims that China's export sophistication reflects the government's successful industrial policy and has been instrumental in the recent acceleration of its economic growth. Although Rodrik's interpretation of China's economic growth is broadly correct, the accuracy of his empirical analysis is questionable. This note identifies several problems regarding the “export sophistication” index used in his empirical work and casts doubt on his analysis.     

大城市边缘区土地利用变化与社会经济发展关系分析——以北京市平谷区为例

大城市边缘区是城市化最敏感、变化最大、最迅速的地区,也是土地利用变化最显著的地区,研究大城市边缘区土地利用变化时空过程及其驱动机制,对实现大城市自身可持续发展具有重要意义。该文采用数理统计与综合分析方法,对北京市平谷区土地利用动态变化及其与GDP、产业结构、消费结构、城镇化以及人口等社会经济发展因素的关系进行了分析。研究结果表明:1996~2004年,平谷区农用地面积持续减少,其中耕地减少较多,园地增长速度较快,林地略有减少。建设用地持续增加,其中交通用地增长速度最快。平谷区的土地利用变化与经济增长、产业升级、城镇化发展、消费结构变化以及人口增长具有显著的相关性,社会经济发展是土地利用变化的主要驱动因素。节约集约土地,提高土地利用效率,调整土地利用结构,促进产业优化升级,保障服务首都北京功能和平谷区域社会经济发展成为平谷区土地利用的必然要求。     

现代物流产业国际竞争力生成模型的构建研究

通过对国际竞争力相关理论和因素的分析,构建了现代物流产业国际竞争力生成模型,最后并对我国现代物流产业国际竞争力的形成机制进行了分析.最后提出了进一步提升我国现代物流产业国际竞争力的措施.     

区域系统主导产业决策分析中的准则层选择研究

当站在复杂性科学的高度来看待层次分析法时,可以将层次分析法归为一种基于个体属性的思维方法,其决策过程不具有整体思维,其得到的方案容易导致不和谐性。而现实中我们所分析的问题往往具有系统结构,这时我们应该超越个体属性的思维方法。本文在比较了社会网络分析和层次分析法的基础上,提出了依存属性这一概念,论述了基于依存属性的决策过程,这是对层次分析法的一种推广。