The measurement of interindustry linkages : Key sectors in the Netherlands

The present paper proposes a new method for the measurement of sectoral interdependencies. It is shown that the elements of the eigenvector corresponding to the dominant eigenvalue of a matrix may be used for measuring interindustry linkages. In an empirical study, the eigenvector method is compared with the two methods that are usually applied. Linkage indicators and key sectors are determined for the Netherlands for the entire post-war period 1948–1984. The results show that the eigenvector method provides a better measurement of the interindustry linkages, that it is useful in detecting clusters of sectors, and that it is sensitive to changes in the structure of the economy.     

Alternative Approaches of Physical Input–Output Analysis to Estimate Primary Material Inputs of Production and Consumption Activities

In the last few years, a number of studies have been presented that link material flow accounting and input–output analysis (based on monetary input–output tables) for the calculation of direct and indirect resource inputs for production and consumption activities. The compilation of the first physical input–output tables for some European countries in the 1990s opened new possibilities for linking physical accounting and input– output analysis. Physical input–output analysis has so far only been applied for selected materials, but it has not been used for comprehensive assessments of material requirements of economic activities. In this paper, possibilities and limits of this new input–output approach are clarified. We present and discuss a procedure similar to monetary input– output analysis and develop an alternative approach to account for primary inputs and waste otherwise not included in the analysis. Based on aggregated input–output tables for Germany, we present numerical examples intended to compare the alternative approaches of physical input–output analysis.     

The Virtual IELab – an exercise in replicating part of the EXIOBASE V.2 production pipeline in a virtual laboratory

ABSTRACT

We explore options to replicate the EXIOBASE2 multi-region input–output (MRIO) database in the Virtual IELab cloud-computing laboratory environment. Whereas EXIOBASE2 is constructed using a multi-process reconciliation procedure, we present an alternative compilation technique that uses EXIOBASE2's pre-processed data and final tables in reconciling the IELab MRIO with conflicting raw data information. This approach skips the labour-intensive step of detailing and harmonising country tables. Adherence metrics reveal the EXIOBASE2-based IELab table to be considerably less balanced than the original but with stronger adherence to other constraints data. However, these metrics are not comparable to the original EXIOBASE2 statistics due to the distinctive implementation of constraint sets in the two platforms. IELab's main value-added is its flexibility in tailoring EXIOBASE2-based MRIOs beyond the original recipe. Finally, IELab's global carbon, water and material footprints are shown to be comparable with previously reported resource footprints. In contrast, deviations in land footprints warrant further investigation.     

Identifying hubs and spokes in global supply chains using redirected trade in value added

The increasing importance of global supply chains has prompted the use of analytical tools based on trade in value added – instead of traditional measures in gross value. We use this analytical framework to develop indicators that identify production hubs and supply spokes in global supply chains. Using these indicators and the Global Trade Analysis Project (GTAP) database, we quantify the relative importance of redirected value-added trade and the hub and spoke relationships at the aggregate level and for specific highly integrated industries.     

The impact of buyer-supplier relationship quality and information management on industrial vending machine benefits in the healthcare industry

Despite the calls for a deeper understanding of SCM in the healthcare industry, theoretical research focused on healthcare buyer-supplier collaboration, specifically inventory management issues, remains nascent and fragmented. Although slow to change, healthcare organizations have begun to consider alternative inventory management systems to improve inventory control and patient care. Industrial vending machines (IVM) can help healthcare organizations address inventory management issues. Grounded in transaction cost economics and contingency theory, this research develops and empirically tests a model that highlights the critical role of information management in the link between buyer-supplier relationship quality and performance outcomes within the context of IVM implementation and use in the healthcare industry. Based on survey data from healthcare managers, results indicate that both information management and relationship quality are tied to a series of benefits in the context of collaborative buyer-supplier IVM agreements.     

The moderating effects of hierarchy and control systems on the relationship between budgetary participation and performance

This study investigates the moderating effects that an organizational unit's hierarchical level and control systems have on the relationship between budgetary participation and performance. Using moderated regression analyses, we find a three-way interactive effect on performance between hierarchical levels, types of control systems, and budgetary participation. Further analyses reveal that at the high level of a hierarchy, budgetary participation has a positive relationship with performance and this relationship is stronger for organizational units that use output control than for those that use behavior control. By contrast, at the low level of a hierarchy, budgetary participation has a negative relationship with performance and this relationship is stronger for organizational units that use output control than for those that use behavior control.     

基于电子商务技术的应急采购

在分析电子商务技术基本特性的基础上,结合采购工作的实际,对采购部门如何在应急采购活动中利用电子商务技术进行了必要的探索.     

European Community Intercountry Input–Output Relations: Construction Method and Main Results for 1965–85

Eurostat constructs consolidated input–output (IO) tables for the European Community (EC) by means of an aggregation of the domestic and the intra-EC import matrices from the harmonized national IO tables. Intercountry EC IO tables can be constructed by disaggregating the intra-EC imports according to country of origin, with coefficients derived from international trade statistics. These procedures, however, produce inadequate outcomes for several reasons. The most important reason is that the imports are valued in ex-customs prices, instead of the theoretically more appropriate producers' prices. This paper analyzes the nature of these and other data problems, and describes a more extensive and satisfactory method to construct intercountry and consolidated EC IO tables. The empirical results are illustrated by an analysis of the domestic and intercountry intersectoral spillover effects for 1965–85.     

Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba,Argentina

This paper uses survey-based data of the Argentinian province of Córdoba to conduct an empirical test of the performance of the Flegg's location quotient (FLQ) and augmented FLQ (AFLQ) formulae for estimating regional input coefficients. A comparison is made with conventional methods based on location quotients. The possibility of using prior information about the extent of self-sufficiency of particular sectors is explored. The empirical work employs a range of statistical criteria with contrasting properties, and examines performance in terms of each method's ability to estimate regional input coefficients, output multipliers and imports. Particular attention is paid to the problem of choosing a value for the unknown parameter δ in the FLQ and AFLQ formulae. These formulae are found to give the best overall results of the non-survey methods considered in the paper. However, the AFLQ typically produces slightly more accurate results than the FLQ, in line with the findings of previous studies.     

Accounting for value added embodied in trade and consumption: an intercomparison of global multiregional input–output databases

Global multiregional input–output (MRIO) tables constitute detailed accounts of the economic activity worldwide. Global trade models based on MRIO tables are being used to calculate important economic and environmental indicators such as value added in trade or the carbon footprint of nations. Such applications are highly relevant in international trade and climate policy negotiations, and consequently MRIO model results are being scrutinized for their accuracy and reproducibility. We investigate the variation in results from three major MRIO databases by comparing underlying economic data and territorial and consumption-based results across databases. Although global value-added accounts were similar across databases, we find some significant differences at the level of individual countries and sectors. Model disagreement was relatively stable from the territorial to the consumption perspective. Pairwise matrix comparison statistics indicated that the Global Trade Analysis Project and World Input-Output Database MRIO tables were overall more similar to each other than either was to the Eora database.