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- Barkley, Michael P., et al.
(author)
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Can a "state of the art" chemistry transport model simulate Amazonian tropospheric chemistry?
- 2011
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In: Journal of Geophysical Research. - 2156-2202. ; 116, s. 16302-16302
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Journal article (peer-reviewed)abstract
- We present an evaluation of a nested high-resolution Goddard Earth Observing System (GEOS)-Chem chemistry transport model simulation of tropospheric chemistry over tropical South America. The model has been constrained with two isoprene emission inventories: (1) the canopy-scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and (2) a leaf-scale algorithm coupled to the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo-oxidation. Large differences of up to 100 Tg C yr (1) exist between the isoprene emissions predicted by each inventory, with MEGAN emissions generally higher. Based on our simulations we estimate that tropical South America (30-85 degrees W, 14 degrees N-25 degrees S) contributes about 15-35% of total global isoprene emissions. We have quantified the model sensitivity to changes in isoprene emissions, chemistry, boundary layer mixing, and soil NOx emissions using ground-based and airborne observations. We find GEOS-Chem has difficulty reproducing several observed chemical species; typically hydroxyl concentrations are underestimated, whilst mixing ratios of isoprene and its oxidation products are overestimated. The magnitude of model formaldehyde (HCHO) columns are most sensitive to the choice of chemical mechanism and isoprene emission inventory. We find GEOS-Chem exhibits a significant positive bias (10-100%) when compared with HCHO columns from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI) for the study year 2006. Simulations that use the more detailed chemical mechanism and/or lowest isoprene emissions provide the best agreement to the satellite data, since they result in lower-HCHO columns.
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- Bomark, Niklas, 1984-, et al.
(author)
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Corporate Demography and Income Inequality : Revisited
- 2019
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In: Academy of Management Annual Meeting Proceedings. - New York : Academy of Management. - 0065-0668 .- 2151-6561. ; :1
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Journal article (peer-reviewed)abstract
- We replicate and extend Sorenson and Sorensen’s (2007) study how corporate demography shapes workforce wage inequality across region-industries by: (i) replicating their original results from Danish regions in 1992-1998 using a close to identical dataset of industry-regions in neighboring Sweden during the same time-period, (ii) extending the study to 2012 to gauge the corporate demography – wage inequality relationship during a period of rapidly increasing inequality, and (iii) expanding the scope of the model by two new measures of organizational form diversity. Our findings suggest a fairly strong test-retest validity, an enhanced effect of corporate demography over time, but that more nuanced measure of organization form diversity do not necessarily enhance the model’s explanatory power.
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| 4. |
- Chrisman, James J., et al.
(author)
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Knowledge Accumulation in Entrepreneurship
- 2022
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In: Entrepreneurship Theory and Practice. - : SAGE Publications (UK and US). - 1540-6520 .- 1042-2587. ; 46:3, s. 479-496
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Journal article (other academic/artistic)abstract
- As the field of entrepreneurship has grown, so has the accumulated knowledge about individual entrepreneurs, entrepreneurial ventures, and the entrepreneurial environment. The purpose of this special issue is to offer a forum for articles that used different approaches to examine the literature for the purpose of accumulating knowledge on various facets of entrepreneurship. We first provide context for the special issue and then attempt to extend the contributions of the eight articles it contains. We conclude by calling for further knowledge accumulation efforts and discussing the kinds of efforts needed to advance the state of knowledge of the field.
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