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Industry Composition (industry + composition)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	50%

Selected Abstracts

The North American Industry Classification System and Its Implications for Accounting Research,

CONTEMPORARY ACCOUNTING RESEARCH, Issue 4 2003
Jayanthi Krishnan
Abstract Industry classification is an important component of the methodological infrastructure of accounting research. Researchers have generally used the Standard Industrial Classification (SIC) system for assigning firms to industries. In 1999, the major statistical agencies of Canada, Mexico, and the United States began implementing the North American Industry Classification System (NAICS). The new scheme changes industry classification by introducing production as the basis for grouping firms, creating 358 new industries, extensively rearranging SIC categories, and establishing uniformity across all NAFTA nations. We examine the implications of the change for accounting research. We first assess NAICS's effectiveness in forming industry groups. Following Guenther and Rosman 1994, we use financial ratio variances to measure intra-industry homogeneity and find that NAICS offers some improvement over the SIC system in defining manufacturing, transportation, and service industries. We also evaluate whether NAICS might have an impact on empirical research by reproducing part of Lang and Lundholm's 1996 study of information-transfer and industry effects. Using SIC delineations, they focus on whether industry conditions or the level of competition is the main source of uncertainty resolved by earnings announcements. Across all levels of aggregation, we find inferences are similar using either SIC or NAICS. How-ever, we also observe that the regression coefficients in Lang and Lundholm's model show smaller intra-industry dispersion for NAICS, relative to SIC, definitions. Overall, the results suggest that NAICS definitions lead to more cohesive industries. Because of this, researchers may encounter some differences in using NAICS-industry definitions, rather than SIC, but these will depend on research design and industry composition of the sample. [source]

The industry settings of leading organizational research: the role of economic and non-economic factors

JOURNAL OF ORGANIZATIONAL BEHAVIOR, Issue 4 2009
Michael Boyer O'Leary
Despite calls for attention to the role of context in organizational research, there have been no assessments of the distribution of industry contexts in organizational research. This paper explores that distribution in relation to the industry composition of the U.S. economy. Our analysis of 914 empirical field studies published in four leading journals from 1988 to 2002 reveals striking, persistent, and growing discrepancies between the industries that are economically important and the industries that have served as settings for organizational research. For example, education and manufacturing are oversampled in relation to their economic importance, while real estate, construction, wholesale, and retail are undersampled. We also develop and test a series of hypotheses predicting which industries serve as the contexts for leading research. Using negative binomial regression, we show that the percentage of recent MBA graduates in an industry and the percentage of employees with doctoral degrees in an industry predict the number of articles set in that industry, with the total number of employees and average establishment size in an industry enhancing the power of the model. We conclude by discussing the implications of our findings for advancing organizational theory and research methods. Copyright © 2008 John Wiley & Sons, Ltd. [source]

Are employment shifts into non-manufacturing industries partially responsible for the decline in occupational injury rates?

AMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 10 2009
Tim F. Morse PhD
Abstract Background Bureau of Labor Statistics figures have shown declines in injury and illness rates over the past 25 years. It is unclear what factors are contributing to that decline. Methods Connecticut injury and illness data was industry-adjusted to account for the shifts in employment by industry sector for the 25-year period from 1976 to 2000. Additional adjustment was made for manufacturing sub-sectors, since declines in manufacturing employment accounted for the largest proportion of the shift in injuries over that period. Results Approximately 18% of the decline in injury and illness rates was associated with a shift in employment from more hazardous to less hazardous industries. Shifts in manufacturing sub-sectors accounted for an additional 5.7% of the decline. Conclusion A significant proportion of the decline in injury and illness rates appears to be due to demographic shifts in industry composition. Am. J. Ind. Med. 52:735,741, 2009. © 2009 Wiley-Liss, Inc. [source]

An Evolutionary New Economic Geography Model

JOURNAL OF REGIONAL SCIENCE, Issue 4 2000
Wei Fan
In this paper we present a general new economic geography model with multiple industries and regions, full labor and capital mobility, land use in production and consumption, and a dynamic adjustment process in which consumers maximize utility and firms respond to nonzero profits. All industries use intermediate inputs as well as land, labor, and capital. Systems of cities form endogenously within this framework, including asymmetrical urban hierarchies and cities of different sizes and industry compositions. Each urban area has a bid-rent gradient and zones with land uses and densities as in the von Thünen model. The equilibrium depends not only on initial conditions but also on speeds of adjustment. The model is a prototype for empirical implementation, as illustrated with a simulation of the effects of transportation cost reductions. [source]