Transitions to Entrepreneurship and Industry-Specific Barriers

Drivers of entrepreneurial entry are investigated in this study by examining how entry into small-business ownership is shaped by industry-specific constraints. The human- and financial-capital endowments of potential entrepreneurs entering firms in various industries are shown to differ profoundly, depending on the type of venture entered. The educational credentials of highly educated potential entrepreneurs, in particular, predict avoidance of small-firm ownership in some industries as well as attraction to others. Recognizing that individuals choose an industry sector jointly with their decision to enter entrepreneurship, we find that the conventional practice of conflating different industry types in empirical analyses of transitions to entrepreneurship generates misleading findings about the determinants of entrepreneurship.entrepreneurship, self-employment, capital constraints, transitions, entry barriers, business start-ups

Improved modelling of atmospheric ammonia over Denmark using the coupled modelling system DAMOS

A local-scale Gaussian dispersion-deposition model (OML-DEP) has been coupled to a regional chemistry-transport model (DEHM with a resolution of approximately 6 km × 6 km over Denmark) in the Danish Ammonia Modelling System, DAMOS. Thereby, it has been possible to model the distribution of ammonia concentrations and depositions on a spatial resolution down to 400 m × 400 m for selected areas in Denmark. DAMOS has been validated against measured concentrations from the dense measuring network covering Denmark. Here measured data from 21 sites are included and the validation period covers 2–5 years within the period 2005–2009. A standard time series analysis (using statistic parameters like correlation and bias) shows that the coupled model system captures the measured time series better than the regional- scale model alone. However, our study also shows that about 50% of the modelled concentration level at a given location originates from non-local emission sources. The local-scale model covers a domain of 16 km × 16 km, and of the locally released ammonia (NH<sub>3</sub>) within this domain, our simulations at five sites show that 14–27% of the locally (within 16 km × 16 km) emitted NH<sub>3</sub> also deposits locally. These results underline the importance of including both high-resolution local-scale modelling of NH<sub>3</sub> as well as the regional-scale component described by the regional model. The DAMOS system can be used as a tool in environmental management in relation to assessments of total nitrogen load of sensitive nature areas in intense agricultural regions. However, high spatio-temporal resolution in input parameters like NH<sub>3</sub> emissions and land-use data is required

Background-free Species Detection In Sooty Flames Using Degenerate 4-wave-mixing

The background radiation disturbance in luminous environments has been compared for degenerate four-wave mixing (DFWM) and laser-induced fluorescence (LIF) for OH radical detection in a sooty propane/oxygen flame. The LIF signal generally was considerably stronger than the DFWM signal, but in strongly sooty environments the LIF signal was accompanied by a significant background signal, while the DFWM signal was background-free under all soot loads tested