A Classification of Dutch Manufacturing based on a Model of Innovation

Summary The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classification of Dutch manufacturing that can be used for policy purposes. Defining homogeneity in terms of an economic model distinguishes our classification from existing taxonomies such as those of the OECD, Pavitt and the various classifications based on a principal components analysis. We use a two-limit tobit model with sample selection, which explains the decisions by business enterprises to innovate and the impact these decisions have on the share of innovative sales. The model is estimated for eleven industries based on the Dutch Standard Industrial Classification (SBI 1993). A likelihood ratio (LR) test is then performed to test for equality of the parameters across industries. We find that Dutch manufacturing consists of three groups of industries in terms of innovative behavior, a high-tech group, a low-tech group and the industry of wood. The same pattern shows up in the three Dutch Community Innovation Surveys. The empirical part of this study has been carried out at the Centre for Research of Economic Microdata at Statistics Netherlands. The authors wish to thank Statistics Netherlands, and in particular Bert Diederen, for helping us in accessing and using the Micronoom data set. The views expressed in this paper are solely those of the authors. The authors also wish to thank Fran?ois Laisney, Patrick Waelbroek and participants at presentations in Maastricht, Strasbourg, Leuven and Lille for their helpful comments. The first author acknowledges financial support from METEOR.     

Exploring the Intensive and Extensive Margins of World Trade

World trade evolves at two margins. Where a bilateral trading relationship already exists it may increase through time (intensive margin). But trade may also increase if a trading bilateral relationship is newly established between countries that have not traded with each other in the past (extensive margin). We provide an empirical dissection of post–World War II growth in manufacturing world trade along these two margins. We propose a “corner-solutions version” of the gravity model to explain movements on both margins. A Tobit estimation of this model resolves the so-called “distance puzzle”. It also finds more convincing evidence than recent literature that WTO-membership enhances trade. JEL no. F12, F15     

Pure Altruism,Consumer Behavior and Choice Modeling*

An important assumption underlying non‐market valuation is that it is not the environment but the human preference that is valued. This paper attempts to test whether individual consumer behavior is influenced by a purely altruistic motive, examining the attitude of hikers towards the hypothetical removal of the Muju ski resort from the Mount Togyu National Park in South Korea. Data were collected from samples of hikers and skiers who visited the national park. The respondents were forced to consider trade‐offs between the recovery of the lost environmental assets in the Muju ski resort area, skiers’ additional travel time, and willingness‐to‐pay amounts for the hypothetical environmental improvement. It was found that hikers did not take into account skiers’ disutility represented by additional travel time.     

关于中国劳动力工资、产业结构和收入差距的实证研究

本文基于GTAP模型,模拟了中国劳动力工资水平的外生上涨对社会贫富差距以及劳动密集型产业转移的影响。通过研究发现：非熟练劳动力密集型产业的普通工人工资的外生上涨无助于解决中国的收入差距问题,反而非熟练劳动力密集型产业在国际间的转移,会使中国有了更高的失业率,甚至有可能使收入差距扩大。     

基于建立估价模型的企业并购绩效评价研究

企业并购绩效可借助一些方法加以评价,本文重点研究建立估价模型评价并购绩效。本文首先深入研究建立估价模型评价企业并购绩效的基本原理；在此基础上,通过对具体案例并购绩效实证研究进一步验证文中观点。本文认为建立估价模型、借助于EVA评价企业并购绩效是一种比较理想的方法。     

产业集群驱动的工业化道路——重新解读“温州模式”

通过对“温州模式”的研究,发现温州遵循“开放-发现-创业-扩散-升级”这样一条产业集群驱动的工业化道路,其发生机理是由于开放,增加了同外部市场接触的机会,发现了市场信息并完成了初始资本的积累,当企业家能人出现、开始在某地创业时,本地工业化进程便随之启动。     

保险业增长预测中数量经济模型的应用研究

科学合理地预测保险业的发展状况，对于明确保险业未来的总体发展目标和战略重点。促进保险业持续健康发展，具有十分重大的意义。本文以内蒙古自治区保险业为例，通过对2006年-2010年内蒙古自治区保费收入的增长预测，提出了综合运用多元线性回归模型和霍尔特指数平滑法进行保险增长预测的预测方法。与传统预测方法相比，它能更好地保证保险增长预测的精确度。     

基于VAR 的我国预期通货膨胀率的估计问题研究

在当前影响物价变动的因素愈加广泛和复杂的背景下,如何准确把握未来通货膨胀预期走势进而有效调控通货膨胀至关重要。本文首先通过建立附加前瞻性政策变量的 VAR 预期模型, 根据 2002 年第一季度至 2014 年第三季度的通货膨胀率、实际利率和产出偏差的实际值与预期目 标值的偏差值季度数据,采用卡尔曼滤波递归算法得出我国的通货膨胀预期的估计结果。随后基 于理性预期理论对初步估计结果进行检验。研究结果表明,采用前三个月实际利率、实际通货膨 胀率的算术平均作为下期中国人民银行调控目标的预期值是较为符合我国情况的选择。     

基于三螺旋理论的瑞典政产学合作模式研究

高效的创新体系是瑞典保持国家创新能力和国际竞争力的主要原因,而政产学网络化合作模式是瑞典创新体系的核心环节。在瑞典政产学合作模式下,政府起着创新引领作用,企业起着创新主体作用,大学和研究机构起着创新执行作用,政府、企业和大学相互作用,共同合作,实现三螺旋式上升发展。在我国创新体系建设中,要进一步明确我国政府指导性与服务性的双重角色定位,重视企业的创新主体作用,实现人才培养格局的多元化并完善科技成果转化机制。