基于投入产出模型的高技术制造业产业链区域间协同研究——以鄂湘赣新一代信息技术产业协同为视角

为研究新一代信息技术产业在鄂湘赣的产业链协同发展,本文运用里昂惕夫投入产出模型,首先对新一代信息技术产业的后向(前向)直接、间接关联产业部门分别进行定量化分析,构建新一代信息技术产业的产业链,并得出新一代信息技术产业链的主要关联部门。通过计算Ghosh逆矩阵和Leontief逆矩阵的平均值矩阵F,测度鄂湘赣地区产业链主要关联部门间的成本推动效应和需求拉动效应。基于此,运用平均波及步数法测度鄂湘赣3省之间新一代信息技术产业链的关联程度,最终得出鄂湘赣3省新一代信息技术产业基于产业链进行协同发展的对策建议。     

Designing robust liner shipping schedules: Optimizing recovery actions and buffer times

It is important for liner shipping companies to maintain cost efficient and robust liner shipping networks. Regularly, they set up pro-forma schedules, yet it is difficult to stay on time. We consider the problem of managing the delays. Therefore, we need to determine an optimal recovery policy and buffer time allocation to the ship route in order to minimize the total costs associated with delays and recovery actions, such as increasing sailing speed. We introduce a general framework consisting of a mixed integer programming formulation to solve discrete stochastic decision problems with short and long term decisions and apply this framework to the above described problem. Furthermore, we propose and test four heuristics for this problem. We compared the results of our method with an existing liner shipping route schedule and found a cost decrease of 28.9% after optimizing the buffer time distribution compared to the cost of sailing the current route schedule at constant speed.     

探索战略性新兴产业发展模式,推动纳米技术应用产业发展

作为开展纳米科技研究较早、论文专利成果显著的纳米科技大国,我国的纳米技术产业化发展明显滞后,尚未形成纳米技术的＂产业＂共识.苏州是国内第一个把纳米技术产业作为引领转型升级的战略性新兴产业的区域,这一战略选择得到了国家、中国科学院和江苏省的高度支持.战略性新兴产业发展需要＂顶层设计、系统规划＂.苏州借鉴国际经验,结合国情和区域实际,提出构建纳米技术产业生态圈,按照产业发展需求规划布局和整合产业资源要素,形成有效互动的产业发展模式,得到国内外纳米技术科技界、产业界和政府部门的普遍认同.     

移动实验室行业发展探讨

移动实验室以其高移动性、现场快速检测的优势弥补了固定实验室在应对公共安全问题上的局限。移动实验室行业在政策、技术、应用、生产等方面存在不少问题,发展受到限制。解决移动实验室发展问题的关键是加强同移动实验室相关的各机构部门之间的沟通,因此有必要建立促进各机构部门良好沟通、协同发展的平台——移动实验室行业协会。移动实验室协会应选择体制内外相结合的方式组建,建立完善的体系和功能,塑造良好的形象。     

基于水足迹的嘉兴市农业产业结构优化模型

农业产业结构是决定农业用水效率的重要因素之一。相较于传统用水评价,基于水足迹的评价能更全面地反映水资源的过程消耗。在对嘉兴市农业蓝水、绿水及灰水足迹核算基础上,用农业水资源压力指数（AWSI）评估区域农业用水压力,构建了基于水足迹的农业产业结构优化模型,分析了节水型、均衡型和发展型3种农业产业结构调整情景。结果表明,嘉兴市农业水足迹以绿水为主,蓝水足迹、绿水足迹和灰水足迹的占比分别为11.6%,51.7%和36.8%,AWSI为0.45,存在较高的水资源压力;通过调整产业结构,3种目标情景下的农业水足迹及经济效益均实现了不同程度优化,AWSI分别降低4.54%,3.89%和0.74%,有效减轻区域水资源压力。研究表明,通过基于水足迹的农业产业结构调整,有效提高了区域集约化用水效率,减轻了用水压力。研究可为农业水资源管理决策提供参考。     

On the growth of primary industry and population of China’s counties

The growth dynamics of complex organizations have attracted much interest of econophysicists and sociophysicists in recent years. However, most of the studies are done for developed countries. We investigate the growth dynamics of the primary industry and the population of 2079 counties in mainland China using the data from the China County Statistical Yearbooks from 2000 to 2006. We find that the annual growth rates are distributed according to Student’s t distribution with the tail exponent less than 2. We find power-law relationships between the sample standard deviation of the growth rates and the initial size. The scaling exponent is less than 0.5 for the primary industry and close to 0.5 for the population.     

基于多层次模糊关联算法的通用航空产业知识挖掘研究

为挖掘通用航空产业领域知识的类型与发展规律,明确产业规划、推动产业健康发展,利用采集的3869份通用航空产业主题相关的网页资料,根据主题信息的关键词对通用航空产业领域知识进行分类,并基于多层次模糊关联算法进行知识挖掘分析.结果表明,通用航空产业领域知识中的通用航空产业主体与通用航空产业产品存在着紧密的联系和规则,而且采...     

因子分析在我国寿险市场研究中的应用

入世后我国进—步开放了市场,这使得我国巨大的保险市场尤其是寿险市场将面临严峻的挑战。如何在开放与竞争的环境中扩大市场份额,取得更大的发展,是我国寿险业面临的一个重要课题。本文对我国寿险业市场结构进行分析,认为目前中国寿险市场结构属寡头垄断型,市场集中度极高,然后用因子分析法考察了我国寿险公司的市场绩效和市场竞争能力。     

产业集聚与新企业进入的计数模型分析

鉴于新企业对经济发展的推动作用,本文利用负二项同归模型对企业影响因素进行研究,实证研究表明出市场准入门槛、最优经济规模等影响因素外,产业集聚状况对新企业进入只有积极影响,而且产业集聚区的企业规模及产业集聚区所在地的城市化水平均对新企业活动产生影响。     

Spillover Network Features from the Industry Chain View in Multi-Time Scales

Financial stocks in the industry chain interact notably because of close economic and technical relationships. Some participants pay particular attention to one industry chain and are concerned with different investment horizons. The motivation for this study is to offer more targeted information to various market participants who focus on different time scales in one industry chain from a systematic perspective by combining the GARCH-BEKK, heterogeneous network, and wavelet analysis methods. The findings are as follows: (1) For parties who prefer to take more risks to gain higher returns, scale 2 (4–8 days) is a good option, while long-term investment (32–128 days) is suitable for conservative investors. (2) In most cases, some links in the industry chain are particularly sensitive to changes in stocks in other links. (3) The influence, sensitivity, and intermediary of stocks in the industry chain on different time scales were explored, and participants could use the resulting information to monitor the market or select stocks. (4) The structures, key players, and industry chain attributes of the main transmission paths differ on multi-time scales. Risk transmission can be controlled by intercepting important spillover relations within the paths.