1,721,016 research outputs found
Effizienz der Deutschen Herstellung Unternehmen Während der Neunziger Jahre
No full textThe first chapter investigates the factors that explain the level of technical efficiency of a firm. In an empirical analysis, a unique sample of about 35,000 firms in 256 industries from the German Cost Structure Census over the years 1992-2004 is used. The technical efficiency of the firms is estimated using distribution free assumption and then it is relates to firm- and industry-specific characteristics. One third of the explanatory power is due to industry effects. Size accounts for another 25 percent and the headquarter's location explains ten percent of the variation in efficiency. Most other firm characteristics such as ownership structure, legal form, age of the firm and outsourcing activities have an extremely small explanatory power. R&D activity does not exert any positive influence on technical efficiency. In the second chapter a special attention is given to allocative efficiency. The traditional approach to measuring allocative efficiency exploits input prices, which are rarely known at the firm level. In this paper we propose a new approach to measure allocative efficiency as a profit-oriented distance to the frontier in a profit--technical efficiency space, which does not require information on input prices. To validate the new approach, we perform a Monte-Carlo experiment providing evidence that the estimates of allocative efficiency employing the new and the traditional approach are highly correlated. Finally, as an illustration, we apply the new approach to a sample of about 900 enterprises from the chemical manufacturing industry in Germany. The third chapter notices that the German chemical manufacturing industry experienced a major downsizing during 1992--2004. On the average, size of the firm almost halved. Using modern frontier efficiency analysis, this paper investigates technical and scale efficiency of firms. Based on reliable census data, analysis suggests that firms were not primarily concerned with improving technical efficiency, but rather establishing of an optimal scale of production. The share of scale efficiency firms has been persistently increasing, and downsizing was found to be a rational behavior because all scale inefficient firms have continually operated on decreasing returns to scale portion of technology
Downsizing in German chemical manufacturing industry during the 1990s: why small is beautiful?
Full text linkGerman chemical manufacturing industry is marked by two major structural changes during 1992-2004. Firstly, number of firms was ranging extensively: from 676 to 901, while only 96 firms represented balanced panel. Secondly, size of the firm dropped considerably-by 88%. This paper is intended to shed light on both phenomena. Based on reliable census data analysis suggests the former evidence be explained (i) by persistent poor performance of firms and (ii) by so called general purpose technology argument. The latter phenomenon was found to be a rational behaviour because numerous firms continually operated under decreasing returns to scale
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Small is beautiful: deutsche Chemieunternehmen schrumpfen sich produktiv
No full textIn der deutschen Chemieindustrie ging die Zahl der Beschäftigten von 1992 bis 2004 deutlich zurück, und die durchschnittliche Unternehmensgröße sank von 824 auf 433 Beschäftigte. Die Triebfeder dieser Entwicklung war weniger die Beseitigung technischer oder organisatorischer Ineffizienzen. Den Unternehmen ging es vielmehr darum, die für sie optimale Größe zu erreichen und überschüssige Kapazitäten abzubauen. Diese Erkenntnisse wurden durch Einsatz eines innovativen statistischen Verfahrens - der Effizienzanalyse - gewonnen
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Simar and Wilson two-stage efficiency analysis for Stata
Full text linkWhen one analyzes the determinants of production efficiency, regressing efficiency scores estimated by data envelopment analysis on explanatory variables has much intuitive appeal. Simar and Wilson (2007, Journal of Econometrics 136: 31–64) show that this conventional two-stage estimation procedure suffers from severe flaws that render its results, and particularly statistical inference based on them, questionable. They additionally propose a statistically grounded bootstrapbased two-stage estimator that eliminates the above-mentioned weaknesses of its conventional predecessors and comes in two variants. In this article, we introduce the new command simarwilson, which implements either variant of the suggested estimator in Stata. The command allows for various options and extends the original procedure in some respects. For instance, it allows for analyzing both outputand input-oriented efficiency. To demonstrate the capabilities of simarwilson, we use data from the Penn World Tables and the Global Competitiveness Report by the World Economic Forum to perform a cross-country empirical study about the importance of quality of governance in a country for its efficiency of output production
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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