McSEIS-1600地震仪磁盘记录格式及数据解编系统

McSEIS-1600地震仪,把采集到的数据记录在一块双面双密度3.5英寸软磁盘上。磁盘记录格式为:每面80磁道,每盘160磁道,每磁道5扇区,每扇区1024字节,与IBM-PC系列计算机磁盘格式不兼容。记录按炮点目录中的索引地址顺序存放,采集数据按高位在前低位在后存放。这种格式的数据都可在IBM-PC系列计算机上通过用C语言编写的程序修改磁盘参数进行读取,从而对这些数据进行处理。     

数据挖掘技术在企业薪酬设针中的应用研究

现代企业薪酬设计过程中要面对数量众多、关系复杂的信息和数据,而数据挖掘技术在有效处理大量数据方面具有独特的优势。本文以薪酬设计中的数据分析过程为主线,探讨如何应用分类、聚类以及关联规则等数据挖掘技术来分析和处理数据,为薪酬设计提供强有力的决策支持。     

Sample attrition in the RLMS, 2001–10

The data of the Russian Longitudinal Monitoring Survey (RLMS) – Higher School of Economics represents one of the few nationally representative sources of household and individual data for Russia. These data have been collected since 1992 and in recent years, thanks to more secure financial and logistical support, have become a resource increasingly drawn upon by scholars and students for national and cross-national studies. In this paper, we examine the extent of non-random attrition in the RLMS and discuss the circumstances under which this might give rise to biases in econometric analysis. We illustrate this with an example drawn from the health sphere.     

Women's employment,children and transitionAn empirical analysis for Poland1

This article empirically investigates how the transition to a market economy affected the relationship between motherhood and labour force outcomes in Poland. We estimate different probit models on two panel datasets covering a three‐year period before the reform (1987–1989) and a three‐year period afterwards (1994–1996). Contrary to a priori expectations, our findings indicate that during transition young children were much less of a deterrent to the employment probability of their mother than they were before transition.     

基于DEA模型的高技术产业R&D效率评价

作为创新的"孵化器",高技术产业的RD效率问题至关重要。从区域与行业交叉的视角出发,选取RD活动人员折合全时当量和RD经费内部支出作为投入指标,有效发明专利数和新产品销售收入作为产出指标,运用DEA模型研究了中国高技术产业5个行业在17个省市的RD活动效率,运用层次聚类分析对17个省市加以聚类。研究结果表明:中国高技术产业RD效率普遍偏低,没有任何一个省市的5个高技术产业均处于较高的RD效率上;区域间发展很不平衡,高技术产业行业差异比较明显;个别省市的5个高技术产业的RD效率都很低;传统"创新"大省RD效率并不突出,存在严重的资源浪费。针对存在的问题,从追求效率、追求精益、协同发展和加强政策引导等方面提出了对策与建议。     

HR and analytics: why HR is set to fail the big data challenge

The HR world is abuzz with talk of big data and the transformative potential of HR analytics. This article takes issue with optimistic accounts, which hail HR analytics as a ‘must have’ capability that will ensure HR's future as a strategic management function while transforming organisational performance for the better. It argues that unless the HR profession wises up to both the potential and drawbacks of this emerging field and engages operationally and strategically to develop better methods and approaches, it is unlikely that existing practices of HR analytics will deliver transformational change. Indeed, it is possible that current trends will seal the exclusion of HR from strategic, board‐level influence while doing little to benefit organisations and actively damaging the interests of employees.     

浅谈铁路客运专线桥梁施工资料的收集与整理

在铁路施工管理中,工程内业资料是一个很重要的组成部分。因此,工程内业资料的进一步规范和标准化是我们面临的共同课题。文章以本人参加的武(汉)至黄(石)城际铁路项目中的施工资料为例,和大家共同探讨一下铁路客运专线桥梁内业资料的收集与整理。     

How should Engel's law be formulated?

Engel's law expresses a “negative stochastic association” of income and the proportion of income that is spent on food. However, there are many quite different notions of “negative stochastic association” and consequently there are different ways of defining Engel's law. We relate these different concepts to Engel's original statistical analysis and show that one must give credit to Engel for the first non-parametric statistical analysis of budget-data.     

Entry into Swedish Retail and Wholesale Trade Markets

This paper examines, using a zero-inflated negative binomial regression model, what determined entry into the Swedish retail and wholesale trade markets between 1990 and 1996. According to the results, high returns on equity and low sunk costs seemed to attract more entry into retail trade industries, while recent entry and higher total industry sales were associated with more entry into both retail and wholesale trade local markets.     

数字经济发展对工业用地利用效率的影响——基于国家级大数据综合试验区的准自然实验

研究目的：以中国实施的国家级大数据综合试验区政策为准自然实验,探究数字经济发展对工业用地利用效率的影响及作用机制,以期为推动工业用地资源优化配置与数字经济政策体系创新提供参考。研究方法：SuperSBM-Undesirable模型、多期双重差分模型。研究结果：（1）研究期内,数字经济发展能够显著提升工业用地利用效率。（2）企业技术创新和工业转型升级在数字经济发展影响工业用地利用效率的过程中起到中介作用。（3）数字经济发展对工业用地利用效率的提升作用具有明显的异质性,其中,在中西部地区和非资源型城市显著为正,在东部地区和资源型城市不显著。研究结论：应充分发挥数字经济发展赋能企业技术创新和工业转型升级的积极作用,因地制宜地推进数字经济政策创新,促进工业用地提质增效,实现数字经济与实体经济深度融合发展。