What Drives the Creation of New Businesses? A Panel-Data Analysis for EU Countries

Roman, Angela; Bilan, Irina; Ciumaș, Cristina

doi:10.1080/1540496x.2017.1412304

Cited by 28 publications

(22 citation statements)

References 42 publications

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“…Besides the explanatory variables we also use several control variables for ensuring the robustness of our results. These control variables are measuring macroeconomic and business environment conditions and, as shown by previous studies, might influence both entrepreneurship (Grilo and Thurik 2004;Hoffmann et al 2006;Vidal-Suñé and Lopez-Panisello 2013;Aparicio et al 2016;Roman et al 2017) and national competitiveness (Miller and Kim 2008;Knoll 2010;Podobnik et al 2012;Vidal-Suñé and Lopez-Panisello 2013;Sayed and Slimane 2014;Dobrinsky and Havlik 2014;Korez-Vide and Tominc 2016;Rusu and Roman 2018). As highlighted by the mentioned studies, rich countries that have lower business regulations and higher inflows of foreign direct investments are more competitive than poor countries, with high level of tax rate, more regulations and a deficit of foreign investments.…”

Section: Hypothesis 12 (H12)mentioning

confidence: 99%

The Quality of Entrepreneurial Activity and Economic Competitiveness in European Union Countries: A Panel Data Approach

Rusu

Dornean

2019

Administrative Sciences

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To increase competitiveness, a country has to outperform its competitors in terms of research and innovation, entrepreneurship, competition, and education. In this paper, we aim to test the relationship between the quality of entrepreneurial activity and the economic competitiveness for the European Union countries by using panel data estimation techniques. Our research considers a sample of 28 EU countries over the period 2011–2017. For the empirical investigation we apply panel data regression models. The results obtained show that business, macroeconomic environment and the quality of entrepreneurship are significant determinants of economic competitiveness of EU countries. Thus, we identify significant positive relations between innovation rate, inflation rate, FDI and economic competitiveness, and significant negative relations between expectations regarding job creation, tax rate, costs and competitiveness. Our study completes the literature by analyzing the relationship between the quality of entrepreneurship and the competitiveness of countries, for an extensive sample formed by all the 28 countries members of the European Union for a period of seven recent years.

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Section: Hypothesis 12 (H12)mentioning

confidence: 99%

The Quality of Entrepreneurial Activity and Economic Competitiveness in European Union Countries: A Panel Data Approach

Rusu

Dornean

2019

Administrative Sciences

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“…Venture capital investors prefer companies that already generate revenue and are in their growth phase. Lovas and Riz (2016) found that incubators, accelerators, business angels are willing to support startups in an earlier phase, but they are also looking for companies with high growth potential. They expect merely a developed product/service and support the startup to introduce their product into the market.…”

Section: Financingmentioning

confidence: 99%

“…Incubator houses and accelerators support startups in implementing their business idea with training and with their business network to find the right mentor or get access to the international market. Certain accelerators and incubator houses -in return for a small equity share -occasionally even provide capital for the startup company (Lovas -Riz, 2016). It is becoming common, that venture capital investors establish accelerators to finance the most promising enterprises from their own seed funds.…”

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confidence: 99%

Characteristics and challenges of the Hungarian startup ecosystem

Jáki¹,

Molnár²,

Kádár³

2019

Veztud

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In this paper, the authors' aim to explore the Hungarian startup ecosystem on both the demand side and the supply side. To achieve this, they conducted a survey reaching both startups and investors. In the survey, the authors observed features of Hungarian startup entrepreneurs such as gender, age, education, previous entrepreneurial experience, and their motivation for establishing startup companies. Furthermore, the authors focused on financing, location, target markets, employment, and operational difficulties. They also examined the attitudes of the startupers and of the ecosystem's other actors such as venture capital investors, incubator houses, accelerators, corporations and co-working spaces regarding various characteristics of the ecosystem. They deemed cooperation between the members of the ecosystem, international relations and the opportunity for startupers to start again after a failed startup to be the most important characteristics. They perceived the strongest characteristic of the Hungarian ecosystem to be social events (meetups and networking), while the most problematic: the opportunity to start again after failing a startup and the required level of entrepreneurial administration 1 .

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“…Amoroso and Link (2018) examines the role of innovation and gender ownership as determinants of employment growth in Europe. European specifics were analysed by Davidavičienė and Lolat (2016), Jankelová, Jankurová, Beňová, and Skorková (2018), Tvaronavičienė (2016), Roman, Bilan, and Ciumaș (2018) and Teixeira, Casteleiro, Rodrigues, and Guerra (2018) as well.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Towards Technology and Entrepreneurship: A Perspective With Cyclic Conditions

Pretorius

Davidavičienė

2018

10th International Scientific Conference “Business and Management 2018”

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In this paper aspects of technology and entrepreneurship interaction are considered. Firstly some dy-namic aspects of technology are presented from a brief literature perspective. This is then contrasted to and integrated with some elements of entrepreneurship where cyclic aspects are influenced by un-employment in the business and possibly technology environment. This work is built on some views presented by previous authors such as Faria and others. Their work is extended to a conceptual sys-tems thinking model representing cyclic factors in entrepreneurship using a causal loop diagram (CLD) approach. Some business statistics from databases are gathered and analysed for entrepre-neurship to show and support some arguments of Faria and others about cyclic nature of entrepre-neurship. A conceptual system dynamics approach for the entrepreneurship dynamics is presented based on previous research.

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What Drives the Creation of New Businesses? A Panel-Data Analysis for EU Countries

Cited by 28 publications

References 42 publications

The Quality of Entrepreneurial Activity and Economic Competitiveness in European Union Countries: A Panel Data Approach

The Quality of Entrepreneurial Activity and Economic Competitiveness in European Union Countries: A Panel Data Approach

Characteristics and challenges of the Hungarian startup ecosystem

Towards Technology and Entrepreneurship: A Perspective With Cyclic Conditions

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