FINANCING INNOVATIVE PROJECTS IN THE TOP 30 COUNTRIES AND UZBEKISTAN WITH STARTUP DEVELOPMENT INDICATORS WITH DEA MODELS

Authors

  • Alimova Sofiya Rozumbaevna Senior Lecturer of “Investment and Financial Markets” Department, Banking and Finance academy

Keywords:

DEA models, CRS, VRS, Global startup ecosystem index, funding, Top 30 countries, efficiency, selective countries, Uzbekistan

Abstract

Recently, the efficiency of implementation of the startups has been investigated from various aspects.  One of them is the measurement of efficiency of startup ecosystem per individual countries by means of Data Envelopment Analysis (DEA). In other words, this paper explores the efficiency of startup ecosystem score in the selected countries, Top 30 countries, with a particular reference to Uzbekistan. The efficiency in the selected countries and Uzbekistan differs depending on the applied input-  or output-oriented DEA model. 

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Published

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How to Cite

Alimova Sofiya Rozumbaevna. (2024). FINANCING INNOVATIVE PROJECTS IN THE TOP 30 COUNTRIES AND UZBEKISTAN WITH STARTUP DEVELOPMENT INDICATORS WITH DEA MODELS . International Journal of Asian Economic Light, 12(1), 4–10. Retrieved from https://eprajournals.net/index.php/JAEL/article/view/3785

Issue

Vol. 12 No. 1 (2024): International Journal of Asian Economic Light (JAEL)

Section

Articles