Experimental Economics and the Theory of Decision Making Under Risk and Uncertainty

Following a brief review of the main experimental work into the economics of risk and uncertainty, both static and dynamic, this paper reports the results of an experiment testing one of the key assumptions of the theory of dynamic economic behaviour—that people have a plan and implement it. Using a unique design which enables the plan (if one exists) to be revealed by the first move, the experiment was implemented via the Internet on a subset of the University of Tilburg's ongoing family expenditure survey panel. The advantages of using such a set of subjects for the experiment are twofold: the demographic characteristics of the set are known and therefore demographic inferences can be made; the representativeness of the set is known and therefore inferences about populations can be made. The results suggest that at least 36% of the subjects had behaviour inconsistent with the hypothesis under test: that people formulate plans and then implement them. Interestingly demographic variables are unable to explain the consistency or inconsistency of individuals. One conclusion is that subjects simply make errors. An alternative conclusion, consistent with previous experimental research, is that people are unable to predict their own future decisions. The implications for dynamic theory (particularly relating to savings and pensions decisions) are important.     

The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.     

建设工程信息集成管理系统研究

工程项目建设与管理过程中会产生大量的物化的材料——建设工程信息。静态信息资料组卷归档后将成为建设工程项目的档案资料，为工程检查验收及日后的改建、扩建、维修、管理等方面提供极其重要的依据，动态信息则为工程建设过程的管理与决策提供强力支持，而这一切都建立在对建设工程信息的有效管理基础上，从了解建设工程信息特点入手,分析客户的需求，构筑管理系统构架,开发了相应的功能模块，并付诸了实施。     

Export Sophistication: A Dynamic Panel Data Approach

In this article, we analyze export sophistication based on a large panel dataset (2001–2015; 101 countries) and using various estimation algorithms. Using Monte Carlo simulations, we evaluate the bias properties of estimators and show that GMM-type estimators outperform instrumental-variable and fixed-effects estimators. Based on our analysis we document that GDP per capita and the size of the economy exhibit significant and positive effects on export sophistication; weak institutional quality exhibits negative effect. We also show that export sophistication is path-dependent and stable even during a major economic crisis, which is especially important for emerging and developing economies.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

山东省新型城镇化发展水平空间格局研究

[目的]为了解山东省新型城镇化总体发展水平,构建指标评价体系,研究了山东省17个地级市人口、土地、经济、社会、环境及综合城镇化发展水平空间分布特征,以期为山东省新型城镇化评估、加快新型城镇化建设、保证各市均衡发展、提升市民生活质量提供借鉴。[方法]该文利用熵值法计算山东省新型城镇化发展水平各评价指标权重,运用Arc-GIS12.0软件对山东省新型城镇化发展水平的空间格局进行分析。[结果]山东省新型城镇化发展整体呈现出"东北和西南高、西北和东南低"的特点。其中,经济城镇化表现为"东北、西南和中部城市突出、西北和东南城市发展较落后"的特点,与山东省新型城镇化总体发展特征相吻合;社会城镇化表现出中部、西南高,西北、东南低的特点;土地城镇化体现出以莱芜为最高值中心,以青岛、潍坊、淄博、济宁为第二高值的倒"C"型特点;人口城镇化则以济南为最高值,以菏泽、济宁、淄博、潍坊、青岛为第二高值;环境城镇化表现出"沿海城市高、中部城市低"的特征。[结论]山东省市域之间新型城镇化发展水平极不平衡,且经济在山东省新型城镇化进程中起着直接决定性作用。山东省在统筹全省新型城镇化平衡发展过程中,注重当地经济建设是根本。     

新型城镇化背景下郑州市新生代农民工城市定居意愿影响因素研究

[目的]当前,推进新型城镇化建设已经成为国家健康快速发展的紧要问题。李克强总理在2015年全国人大会议上作政府工作报告时提出"以人为本的新型城镇化",强调城镇化建设中人的核心地位,在人的因素中新生代农民工是推进新型城镇化的最重要力量,他们的居留意愿成为决定新型城镇化的现在与未来成败的关键因素。因此,研究新生代农民工城市定居的意愿特征以及影响因素就具有很强的现实意义。[方法]通过调查问卷和实地访谈的形式对郑州市新生代农民工进行调研,在以第一手资料为基础的提前下,运用随机森林模型,从个人因素、家庭因素、制度因素和社会文化等4个方面中的24个因素实证分析影响郑州市新生代农民工留城意愿的特征和因素。[结果]影响新生代农民工留城意愿最显著的要素依次是从事职业类型、在城市工作时间、个人收入、家庭收入因素、是否参加城镇养老保险和是否享受城镇住房公积金。[结论]文章有针对性地提出发展教育、增加家庭收入和改善社会福利等解决问题的措施。     

河南省城镇化时空格局及驱动力分析

[目的]通过分析城镇化时空格局及其驱动力用来表现河南省城镇化近10年状态,并通过驱动力分析其主要影响因素。[方法]文章选取人均GDP、财政收入、第三产业生产总值、全社会固定资产投资、在岗职工平均工资、各市参加医疗保险人口、天然气用气人口、各市普通高中毕业生、废水排放量、生活垃圾处理量、固体废物处理量、道路清扫保洁面积等12个指标构建综合指标体系,运用SPSS因子分析确定权重,测算2005~2015年河南省城镇化发展水平并分析其时空演变特征,在此基础上利用灰色关联度分析城镇化发展驱动力。[结果]河南省城镇化水平在时间维度上呈上升趋势,空间上表现为高城镇化水平集中在河南省西北部地区,有向东北部发展的趋势;低水平城镇化地区集中在河南省中南部地区且数量逐渐减少;中等水平的城镇化地区集中在河南省周边的地级市,数量逐渐增多,且有向高等城镇化水平发展的趋势;就驱动力影响力而言,市场机制高居第一,其次是政府作用、自身发展、外商投资。[结论]河南省城镇化水平空间差异显著,并受多种驱动力共同影响。     

英国城乡规划体系及农村规划管理的经验与启示

[目的]对英国城乡规划体系及农村规划管理的发展历程、基本经验和主要特点进行归纳总结,分析其对我国当前加强农业与农村规划管理、推进城乡统筹发展、促进新型城镇化建设的启示和借鉴意义。[方法]基于赴英国进行城乡规划体系及农村规划管理与保护方面的实地考察、培训以及相关文献的综述分析。[结果]英国城乡规划体系建立缘于其解决城镇化发展过程所产生的"大城市病"问题,其发展经历了多次修改和调整,目前形成了"区域空间战略"和"地方发展框架"两级规划结构;英国的城乡规划体系十分注重对农村地区和小城镇的规划管理和保护,形成了一系列重要规则和制度。[结论]英国在城镇化发展过程中,完整地保存了传统乡村的历史建筑、风土文化和景观环境,值得充分学习和借鉴。当前,在统筹城乡发展和推进新型城镇化建设过程中,应充分发挥规划的引导作用和社会公众的参与作用,高度重视对农业与农村的保护和规划管理,同时要注重基于中国国情的再创新。     

环境与耕地约束下的城镇化效率及其发展模式探因

[目的]考虑环境和耕地约束,构建了城镇化效率测算指标体系,测算并分析我国2000~2014年区域城镇化效率,并且从城镇化发展模式与产业结构分布形态2个角度探索区域城镇化效率差异的机理。[方法]以"工业三废"和耕地面积减少量作为非合意产出,构建了由11个指标组成的投入—合意产出—非合意产出指标体系,进而利用优化ISBM模型测算了2000~2014年我国区域城镇化效率,并利用谱系聚类方法分析了其梯队层次特征。[结果]我国各省域城镇化效率总体较低,绝大多数省域处于效率缺损的状态;各省域城镇化效率表现为明显的5个梯队层次,不同区域、不同梯队省域城镇化效率存在明显差异,总体呈现出东、中、西依次递减的格局,并且省域之间城镇化效率差距自2000年以来呈不断缩小的趋势;东部地区城镇化效率较高,总体上城镇化与产业结构之间相互协调,城市群发展程度高而使得城市之间的分工合作程度高;中西部地区城镇化效率相对较低,产业结构对经济的支撑作用相对较弱,城市体系断层明显,城市群带动作用弱。[结论]我国区域城镇化效率总体较低且不平衡,这在很大程度上取决于城镇化模式和演进机制,区域之间的城镇化效率差异体现在产业结构层次、城市集聚方式以及劳动力转移方式等方面。