The Economic Contribution of Start-Up Firms in Germany

Schneck, Stefan; May-Strobl, Eva

doi:10.1108/s1074-754020150000017014

Cited by 3 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The share of surviving entrants was highest in cohort 2005 (58.3%) and lowest in cohort 2002 (54.3%). These numbers are comparable to the ones reported in Schneck and May-Strobl (2015), who analyzed microenterprises. Firms of cohort 2001 exhibit a higher survival rate than the new firms of cohorts 2002 to 2008, which is due to the share of established firms in this particular cohort.…”

Section: Variablessupporting

confidence: 90%

Times are a Changin’? The Emergence of New Firms and Rank Reshuffling

Schneck

2019

J Ind Compet Trade

Self Cite

View full text Add to dashboard Cite

Young firms are known to grow at a faster rate than incumbents. With administrative firm data from Germany, we show that the higher growth rates indeed translate into upward mobility within the sector-specific firm size distribution. Young firms are therefore not only able to catch up with incumbents, but also able to grow larger in absolute values. Recentered influence function regression results reveal that young firms cause significant rank mobility within the stock of firms, which even holds when the local skewness of the firm size distribution is accounted for. The results clearly indicate a Schumpeterian growth process where young firms challenge established ones."It is inherent in any dynamic capitalist economy that some firms enter, thrive, and grow, while others decline and sometimes exit." (Haltiwanger 2012, p. 18) I have benefited from comments by David Audretsch, Alex Coad, Sergio Firpo, three anonymous referees, and participants at workshops in Wiesbaden, Siegen, as well as the 8th Leuphana Conference on Entrepreneurship. Thanks to Melanie Scheller for assistance with data issues. This study is based on the Umsatzsteuerpanel (2001-2011) from the German Statistical Office (Destatis). Remote data access was provided by the Research Data Centre of the German Federal Statistical Office (FDZ der StatistischenÄmter des Bundes und der Länder). All results have been reviewed to ensure that no confidential information is disclosed. The author's program codes will be provided upon request. Any errors are my own. This paper reflects the opinions of the author and not necessarily those of the Institut für Mittelstandsforschung (IfM) Bonn.

show abstract

Section: Variablessupporting

confidence: 90%

Times are a Changin’? The Emergence of New Firms and Rank Reshuffling

Schneck

2019

J Ind Compet Trade

Self Cite

View full text Add to dashboard Cite

show abstract

“…According to Malik (2013), between 2007 and 2011, London's economy grew about 12.5% more than the rest of the country with the installation of a startup incubator. Schneck and May-Strobl (2015) demonstrated that 6.5% of sales in Germany originate from nascent companies. Sabella, Farraj, Burbar, and Qaimary (2014) state that the adoption of a policy of greater incentive to entrepreneurship and, consequently, of incentives to startups, increased the Gross Domestic Product (GDP) of Palestine by 7.33% when compared to previous years.…”

Section: Literature Reviewmentioning

confidence: 99%

Classification and categorization of Brazilian agricultural startups (Agtechs)

Ramos

Pedroso

2021

INMR

View full text Add to dashboard Cite

Purpose This paper aims to identify and analyze the agtech classification and categorization systems in the Brazilian context. Design/methodology/approach The systematic literature review (SLR) was carried out according to the protocol of Kitchenham and Charters (2007). The classification systems found in literature were evaluated using the thinking aloud protocol, as proposed by Ericsson and Simon (1993). The responses obtained were evaluated through lexicographic analysis, described by Bécue-Bertaut (2019) and content analysis, described by Bardin (2011). Findings SLR identified four agtech classification systems. The model proposed by Dias, Jardim, and Sakuda (2019) was the one with the highest adherence to classify Brazilian agtechs. From the analysis of the systems found in literature, the authors proposed a new categorization model of agricultural startups (agtechs). Research limitations/implications The study has limitations in relation to the theoretical and empirical validation of the model proposed by the authors. This limitation can be the subject of subsequent research. Practical implications The SLR study considers the evolution of the classification systems of a new agribusiness reality, the agtechs. In addition, there is a practical contribution in proposing a new classification system that attempts to address some of the limitations found in previous studies. Originality/value Agtechs are startups focused on developing solutions for agriculture and have shown a significant increase in recent years. However, there are few studies focused on this type of company. Even rarer are the studies that seek to classify and categorize them. The present work opens the horizon for future studies focused on this new reality.

show abstract

The German Mittelstand: antithesis to Silicon Valley entrepreneurship?

Pahnke

Welter

2018

Small Bus Econ

View full text Add to dashboard Cite

The Economic Contribution of Start-Up Firms in Germany

Cited by 3 publications

References 26 publications

Times are a Changin’? The Emergence of New Firms and Rank Reshuffling

Times are a Changin’? The Emergence of New Firms and Rank Reshuffling

Classification and categorization of Brazilian agricultural startups (Agtechs)

The German Mittelstand: antithesis to Silicon Valley entrepreneurship?

Contact Info

Product

Resources

About