EconPapers    
Economics at your fingertips  
 

Country-level efficiency and the index of dynamic entrepreneurship: Contributions from an efficiency approach

Eduardo Avancci Dionisio, Edmundo Inácio Júnior and Bruno Brandão Fischer

Technological Forecasting and Social Change, 2021, vol. 162, issue C

Abstract: The objective of this article is to address aggregate performance indicators in National Systems of Entrepreneurship from an efficiency perspective. Our assessment is based on Data Envelopment Analysis (DEA) applied to data from the Index of Dynamic Entrepreneurship (IDE) for a sample of 60 countries. Besides providing information on the efficiency score of each country, this approach allowed the identification of benchmarks for best practices and the construction of an efficiency ranking. Findings offer guidance for refined entrepreneurship-oriented policies that take into account characteristics of heterogeneous socioeconomic contexts. Surprisingly, top-performing countries in the IDE ranking have relatively inefficient ecosystems while countries in the lowest positions generally demonstrate higher efficiency scores. Implications of our research encompass the need for policymakers to develop more in-depth knowledge concerning their own entrepreneurial ecosystems’ attributes and productivity. Efficient systemic outcomes can be obtained through different configurations, so a hierarchical view of attributes limits the adequacy of policies for different contexts.

Keywords: Dynamic entrepreneurship; Index of systemic conditions for dynamic entrepreneurship; Key performance indicators; Efficiency Frontier; Entrepreneurial Ecosystems; National Systems of Entrepreneurship (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162520312324
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520312324

DOI: 10.1016/j.techfore.2020.120406

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2024-07-01
Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s0040162520312324