Combining Data from New and Traditional Sources in Population Surveys

This paper is a review of some applications of the combination of data sets, such as combining census or administrative data and survey data, constructing expanded data sets through linkage, combining large‐scale commercial databases with survey data and harnessing designed data collection to be able to make use of non‐probability samples. It is aimed to highlight their commonalities and differences and to formulate some general principles for data set combination.     

Firm resources and the development of environmental sustainability among small and medium‐sized enterprises: Evidence from the Australian wine industry

Scholars and industry professionals want clarification of the specific firm resources that influence the adoption and development of environmentally sustainable strategies. This paper, set in the context of the Australian wine industry, explores different firm resources that are beneficial for environmentally sustainable development and examines the role of management attitudes and norms in moderating this relationship. It establishes which resources small and medium‐sized enterprises (SMEs) should invest in to be more successful in following environmental principles. The findings of a survey of the owner‐managers of Australian wine‐producing SMEs are reported, and partial least squares structural equation modelling is utilized to analyze the data. Results clearly indicate that successful firms that manage their resources more effectively influence the application of environmental behaviour, with one distinct resource significantly influencing the disclosure of such behaviour. A moderating effect is established which supports the notion that pro‐environmental decision‐making in SMEs is heavily influenced by the attitudes and norms held by management.     

Relational exchange in nonprofits: The role of identity saliency and relationship satisfaction

In practice and research pertaining to charitable giving, the emphasis has been on identifying the characteristics and motivations of donors, but few have asked why donors continue to support a particular nonprofit. This study examines the relationship between renewing donors and nonprofits and their impact on charitable giving levels using identity salience and relationship satisfaction as key mediators of nonprofit relational exchange. In a survey of 719 repeat donors in the United States, to a broad range of nonprofit organizations, identity saliency and relationship satisfaction are introduced as mediating constructs, and the results confirm that both constructs partially guide donor motivations and charitable giving. Theoretically, this suggests that the more a donor identifies with a nonprofit organization and the more satisfied the donor is in the relationship with the organization, the higher their intention to donate. This finding supports previous research in segmentation strategies and service‐dominant logic in the nonprofit sector. Managerial implications of this research include indication of a paradigmatic shift from relational exchange to transformational exchange (or value cocreation) in nonprofit organizations' approach to donor cultivation.     

Analysis of Categorical Data for Complex Surveys

This paper reviews methods for handling complex sampling schemes when analysing categorical survey data. It is generally assumed that the complex sampling scheme does not affect the specification of the parameters of interest, only the methodology for making inference about these parameters. The organisation of the paper is loosely chronological. Contingency table data are emphasised first before moving on to the analysis of unit‐level data. Weighted least squares methods, introduced in the mid 1970s along with methods for two‐way tables, receive early attention. They are followed by more general methods based on maximum likelihood, particularly pseudo maximum likelihood estimation. Point estimation methods typically involve the use of survey weights in some way. Variance estimation methods are described in broad terms. There is a particular emphasis on methods of testing. The main modelling methods considered are log‐linear models, logit models, generalised linear models and latent variable models. There is no coverage of multilevel models.     

基于分支冻结算法的供应商选择与订单分配

针对已有研究供应商选择与订单分配的特点,建立更加符合实际情况需求的供应商选择与订单分配混合整数规划模型,其优化目标为最小总成本.考虑到模型求解的复杂程度,设计一种分支冻结算法,并结合启发式算法的原则避免出现大量的非存在解.实验算例表明所建立的模型能够反映供应商选择与订单分配过程中的产品生产成本过大现象,其算法能够在允许...     

The 3‐day Week of 1974 and Earnings Data Reliability in the Family Expenditure Survey and the National Child Development Study*

In early 1974, an energy conservation policy limited the British workweek to 3 days. Researchers fear that earnings reports given by survey respondents during this period may not be comparable with those given in more typical circumstances. This study uses responses during and after the 3‐day week policy to estimate the degree of misreporting in the National Child Development Study (NCDS) and the Family Expenditure Survey (FES). The estimates show that very few respondents gave ‘incorrect’ 3‐day figures. In the FES, the estimated fraction of misreports is no larger than 3.2%; in the NCDS, the best estimate is 0.     

GLOBALIZATION AND PRODUCTIVITY: A SURVEY OF FIRM‐LEVEL ANALYSIS

Abstract Recent empirical studies which utilize plant‐ or establishment‐level data to examine globalization's impact on productivity have discovered many causal mechanisms involved in globalization's impact on firms’ productivity. Because these pathways have been broad, there have been few attempts to summarize the several and detailed mechanisms of self‐selection and learning at the same time. This paper examines seven pathways so that the clear‐cut consequences of the broad picture of globalization become visible. This strategy is useful for detecting missing links within and across the existing studies as well as for finding possible synergy effects among different mechanisms. Insightful policy implications may be derived from the comprehensive comparisons between the seven different pathways of globalization.     

Broad Cross‐License Negotiations

In many industries, broad cross‐license agreements are considered a useful method to obtain freedom to operate and to avoid patent litigation. In this paper, I study firm incentives to sign a broad cross‐license as well as the duration of broad cross‐license negotiations. I develop a model of bargaining with learning, which predicts that two firms will enter a broad cross‐license agreement only if their capital intensities are large enough. The model also predicts faster negotiations when firms have high capital intensities and when the frequency of future disputes is low. I confirm these predictions empirically using a novel data set on cross‐licensing and litigation in the US semiconductor industry.     

Feeling lonely at work: investigating the consequences of unsatisfactory workplace relationships

Although prior literature reveals that loneliness is a pervasive problem among adults, little research has evaluated the impact of loneliness in the workplace. Given that workplace relationships underlie many important organizational phenomena, it is important to understand whether and how workplace loneliness affects employee behavior. Based on the social exchange model, we hypothesize that in comparison with their non-lonely counterparts, lonely employees will experience lower quality leader‐member and organization‐member exchanges at work such that they will tend to be worse at in-role and extra-role workplace functions. Drawing on the results of our survey of schoolteachers, we present findings to support our hypotheses.     

Privatization,Financialization and State Restructuring in Eastern Germany: The case of Am südpark

Using a mix of survey data, results from a study on local planning politics and fieldwork, this article discusses the interplay of planning and welfare policies with global financial markets in the ‘making’ of social segregation in Halle‐Neustadt, a borough in the German city of Halle (Saale). Here, different developments come together. First, Halle‐Neustadt has experienced two waves of privatization, leading to a complete change of ownership structures, marked by the rise of financial investors. Second, welfare cuts have put increasing pressure on welfare recipients to live in the cheapest housing available. This has led to the emergence of a ‘Hartz IV business model’ based on low, but state‐subsidized, rents. Third, new planning policies have led to a massive drop in house prices, thus facilitating the use of ‘leverage’ strategies for financial investors. We expand on an already developed debate, providing new insights about relations between planning, state restructuring and financialization in a German context. We demonstrate that a broad array of changes in national regulatory settings, policy change in different sectors and local particularities can all be crucial in enabling financialization. We conclude that research should place greater emphasis on the state in providing explanations and take differences in context more seriously.     

Topics of statistical theory for register‐based statistics and data integration

Official statistics production based on a combination of data sources, including sample survey, census and administrative registers, is becoming more and more common. Reduction of response burden, gains of production cost efficiency as well as potentials for detailed spatial‐demographic and longitudinal statistics are some of the major advantages associated with the use of integrated statistical data. Data integration has always been an essential feature associated with the use of administrative register data. But survey and census data should also be integrated, so as to widen their scope and improve the quality. There are many new and difficult challenges here that are beyond the traditional topics of survey sampling and data integration. In this article we consider statistical theory for data integration on a conceptual level. In particular, we present a two‐phase life‐cycle model for integrated statistical microdata, which provides a framework for the various potential error sources, and outline some concepts and topics for quality assessment beyond the ideal of error‐free data. A shared understanding of these issues will hopefully help us to collocate and coordinate efforts in future research and development.     

A Comparison of Methods for Poverty Estimation in Developing Countries

Small area estimation is a widely used indirect estimation technique for micro‐level geographic profiling. Three unit level small area estimation techniques—the ELL or World Bank method, empirical best prediction (EBP) and M‐quantile (MQ) — can estimate micro‐level Foster, Greer, & Thorbecke (FGT) indicators: poverty incidence, gap and severity using both unit level survey and census data. However, they use different assumptions. The effects of using model‐based unit level census data reconstructed from cross‐tabulations and having no cluster level contextual variables for models are discussed, as are effects of small area and cluster level heterogeneity. A simulation‐based comparison of ELL, EBP and MQ uses a model‐based reconstruction of 2000/2001 data from Bangladesh and compares bias and mean square error. A three‐level ELL method is applied for comparison with the standard two‐level ELL that lacks a small area level component. An important finding is that the larger number of small areas for which ELL has been able to produce sufficiently accurate estimates in comparison with EBP and MQ has been driven more by the type of census data available or utilised than by the model per se.     

实施供应商管理 促进采购优化

供应链管理优化的起点是采购管理的优化,而采购优化中重要的组成部分即是供应商管理。文章首先讨论了供应商管理的目的和原则,以及供应商的整合和接纳;接着对供应商关系管理的实施原则和程序做了介绍,并指出应构建供应商监控体系作为保障;最后介绍某集团公司的成功实例。     

Are non‐union workers different to their union colleagues? Evidence from the public services

This article analyses workers’ attitudes to trade unions by comparing the survey responses of Unison members with public sector workers who have left or never joined a union. It examines whether differences between these groups can help to explain union‐joining behaviour and membership patterns. The findings demonstrate that there are few differences in attitudes between Unison members, ex‐unionists and never‐members on the issue of ‘union effectiveness’. However, ex‐unionists were more reluctant to re‐join unions than never‐members. The evidence concludes that if public service unions are to recruit new members, they need to adopt differentiated strategies and representatives have to target ex‐unionists and never‐members in the workplace.     

Equivalence between welfare and entropy approaches to residential location

An optimization model for residential location in an urban area is presented. As the objective, a welfare measure is considered which is derived as aggregated expected utility based on utility-maximizing individual behaviour. The utilities include travel costs for work trips as well as a measure of the disutility with high-density living. The problem of finding a welfare maximizing housing allocation is shown to be equivalent to an entropy maximizing problem provided that a certain condition is met. By considering a dual formulation, a computationally more expedient problem is obtained. The model approach is illustrated by a few applications to the Stockholm region.     

Survey Estimates by Calibration on Complex Auxiliary Information

In the last decade, calibration estimation has developed into an important field of research in survey sampling. Calibration is now an important methodological instrument in the production of statistics. Several national statistical agencies have developed software designed to compute calibrated weights based on auxiliary information available in population registers and other sources. This paper reviews some recent progress and offers some new perspectives. Calibration estimation can be used to advantage in a range of different survey conditions. This paper examines several situations, including estimation for domains in one‐phase sampling, estimation for two‐phase sampling, and estimation for two‐stage sampling with integrated weighting. Typical of those situations is complex auxiliary information, a term that we use for information made up of several components. An example occurs when a two‐stage sample survey has information both for units and for clusters of units, or when estimation for domains relies on information from different parts of the population. Complex auxiliary information opens up more than one way of computing the final calibrated weights to be used in estimation. They may be computed in a single step or in two or more successive steps. Depending on the approach, the resulting estimates do differ to some degree. All significant parts of the total information should be reflected in the final weights. The effectiveness of the complex information is mirrored by the variance of the resulting calibration estimator. Its exact variance is not presentable in simple form. Close approximation is possible via the corresponding linearized statistic. We define and use automated linearization as a shortcut in finding the linearized statistic. Its variance is easy to state, to interpret and to estimate. The variance components are expressed in terms of residuals, similar to those of standard regression theory. Visual inspection of the residuals reveals how the different components of the complex auxiliary information interact and work together toward reducing the variance.     

The Three Basic Types of Residuals for a Linear Model

We consider residuals for the linear model with a general covariance structure. In contrast to the situation where observations are independent there are several alternative definitions. We draw attention to three quite distinct types of residuals: the marginal residuals, the model‐specified residuals and the full‐conditional residuals. We adopt a very broad perspective including linear mixed models, time series and smoothers as well as models for spatial and multivariate data. We concentrate on defining these different residual types and discussing their interrelationships. The full‐conditional residuals are seen to play several important roles.     

Using difference equations to find optimal tax structures on the SugarScape

The use of equations to describe agent-based model dynamics allows access to mathematical theory that is not otherwise available. In particular, equation models can be effective at solving optimization problems—that is, problems concerning how an agent-based model can be most effectively steered into a particular state. In order to illustrate this strategy, we describe a modified version of the well-known SugarScape model and implement taxation. The optimization problem is to determine tax structures that minimize deaths but maximize tax income. Tax rates are dependent upon the amount of sugar available in a particular region; the rates change over time. A system of discrete difference equations is built to capture agent-based model dynamics. The equations are shown to capture the dynamics very well both with and without taxation. A multi-objective optimization technique known as Pareto optimization is then used to solve the problem. Rather than focusing on a cost function in which the two objectives are assigned weights, Pareto optimization is a heuristic method that determines a suite of solutions, each of which is optimal depending on the priorities of the researcher. In this case, Pareto optimization allows analysis of the tradeoff between taxes collected and deaths caused by taxation. The strategies contained here serve as a framework for a broad class of models.     

End‐of‐pipe or cleaner production? An empirical comparison of environmental innovation decisions across OECD countries

While both fundamental types of abatement measure mitigate the adverse environmental impacts of production, cleaner production technologies are frequently more advantageous than end‐of‐pipe technologies for environmental and economic reasons. This paper analyzes a variety of factors that might enhance firms' propensity to implement cleaner production technologies instead of end‐of‐pipe technologies. On the basis of a unique facility‐level data set derived from a recent OECD survey, we find a clear dominance of cleaner production in seven OECD countries: 76.8% of the facilities report that they invest predominantly in cleaner production technologies, above all in new production processes, but not so much in new products. Based on a discrete choice model, our estimation results indicate that regulatory measures and the stringency of environmental policies are more important for end‐of‐pipe technologies, while cost savings, general management systems and specific environmental management tools tend to favor clean production. We conclude that improvements towards cleaner production may be reached by the continuous development and wider diffusion of these management tools. Improvements may also be stimulated by widening the cost gap between the two types of technology, for instance by additionally charging for waste and energy use. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.