stdClass Object
(
    [id] => 12288
    [paper_index] => 202402-07-015750
    [title] => DEVELOPMENT OF AN ECONOMETRIC MODEL FOR FINANCING INNOVATIVE PROJECTS IN THE TOP 30 COUNTRIES AND UZBEKISTAN WITH STARTUP DEVELOPMENT INDICATORS  
    [description] => 
    [author] => Alimova Sofiya Rozumbaevna
    [googlescholar] => https://scholar.google.co.in/scholar?cluster=9073720753710016684&hl=en&as_sdt=0,5
    [doi] => 
    [year] => 2024
    [month] => February
    [volume] => 11
    [issue] => 2
    [file] => 811pm_3.EPRA JOURNALS 15750.pdf
    [abstract] => The purpose of this work is to identify the most significant factors influencing the Global Startup Ecosystem Index in the Top 30 countries and Uzbekistan. Study the theoretical and practical experience of foreign countries. Building an econometric model that includes the most significant factors influencing the rate of development of startups in the country, with the aim of further use for forecasting the key driving forces of this development.
    [keywords] => : Global Startup Ecosystem, correlation matrix, funding from transactions, unicorns, panteons, market state.
    [doj] => 2024-02-08
    [hit] => 736
    [status] => y
    [award_status] => P
    [orderr] => 3
    [journal_id] => 7
    [googlesearch_link] => https://www.google.com/search?q=DEVELOPMENT+OF+AN+ECONOMETRIC+MODEL+FOR+FINANCING+INNOVATIVE+PROJECTS+IN+THE+TOP+30+COUNTRIES+AND+UZBEKISTAN+WITH+STARTUP+DEVELOPMENT+INDICATORS+Alimova+Sofiya+Rozumbaevna&rlz=1C1CHBD_enIN959IN959&sourceid=chrome&ie=UTF-8
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Economics, Business and Management Studies (EBMS)
    [short_code] => IJHS
    [eissn] => 2347-4378
    [pissn] => 
    [home_page_wrapper] => images/products_image/2.EBMS.png
)
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