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<bibitem type="J">   <ARLID>0523038</ARLID> <utime>20240103223853.0</utime><mtime>20200317235959.9</mtime>   <SCOPUS>85081007454</SCOPUS> <WOS>000528016100002</WOS>  <DOI>10.1016/j.ecosys.2020.100743</DOI>           <title language="eng" primary="1">Firm survival in new EU member states</title>  <specification> <page_count>22 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0290062</ARLID><ISSN>0939-3625</ISSN><title>Economic Systems</title><part_num/><part_title/><volume_id>44</volume_id><volume/><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>firm survival</keyword>   <keyword>new EU member states</keyword>   <keyword>survival and exit determinants</keyword>   <keyword>hazards model</keyword>    <author primary="1"> <ARLID>cav_un_auth*0359155</ARLID> <share>33</share> <name1>Baumöhl</name1> <name2>E.</name2> <country>SK</country> <garant>K</garant> </author> <author primary="0"> <ARLID>cav_un_auth*0390681</ARLID>  <share>33</share> <name1>Iwasaki</name1> <name2>I.</name2> <country>JP</country> <garant>S</garant> </author> <author primary="0"> <ARLID>cav_un_auth*0312139</ARLID> <full_dept>Department of Econometrics</full_dept>  <share>34</share> <name1>Kočenda</name1> <name2>Evžen</name2> <institution>UTIA-B</institution> <full_dept language="cz">Ekonometrie</full_dept> <full_dept>Department of Econometrics</full_dept> <department language="cz">E</department> <department>E</department> <country>CZ</country> <garant>A</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2020/E/kocenda-0523038.pdf</url> </source> <source> <url>https://www.sciencedirect.com/science/article/pii/S093936251830075X</url>  </source>        <cas_special>  <abstract language="eng" primary="1">We analyze firm survival determinants in four new European Union member states (the Czech Republic, Hungary, Poland, and Slovakia). We employ the Cox proportional hazards model on firm-level data over the period of 2006 to 2015. We show that less concentrated control of large shareholders, higher solvency, and more board directors are linked with increased probability of firm survival in all four countries. However, an excessive number of board directors shows a detrimental effect. Firms with foreign owners and higher returns on their assets exhibit better survival chances. Conversely, larger firms and those hiring international auditors show lower probabilities of survival. A number of determinants specifically influence firm survival in different ways across countries. This fact emphasizes that country differences are important when studying firm survival. We also document that in an economic sense, determinants associated with the legal form, ownership structure and corporate governance show the most beneficial effects with respect to firm survival.</abstract>       <reportyear>2021</reportyear>  <RIV>AH</RIV>    <result_subspec>WOS</result_subspec> <FORD0>50000</FORD0> <FORD1>50200</FORD1> <FORD2>50206</FORD2>   <num_of_auth>3</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0307876</permalink>  <unknown tag="mrcbC61"> 1 </unknown>  <confidential>S</confidential>  <article_num> 100743 </article_num> <unknown tag="mrcbC86"> 1 Article Economics </unknown> <unknown tag="mrcbC91"> A </unknown>         <unknown tag="mrcbT16-e">ECONOMICS</unknown> <unknown tag="mrcbT16-f">3.182</unknown> <unknown tag="mrcbT16-g">0.472</unknown> <unknown tag="mrcbT16-h">6.2</unknown> <unknown tag="mrcbT16-i">0.00155</unknown> <unknown tag="mrcbT16-j">0.721</unknown> <unknown tag="mrcbT16-k">1425</unknown> <unknown tag="mrcbT16-q">58</unknown> <unknown tag="mrcbT16-s">0.892</unknown> <unknown tag="mrcbT16-y">54.38</unknown> <unknown tag="mrcbT16-x">3.05</unknown> <unknown tag="mrcbT16-3">384</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-5">3.130</unknown> <unknown tag="mrcbT16-6">53</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-B">43.237</unknown> <unknown tag="mrcbT16-C">77</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">0.98</unknown> <unknown tag="mrcbT16-N">Q1</unknown> <unknown tag="mrcbT16-P">76.995</unknown> <arlyear>2020</arlyear>       <unknown tag="mrcbU14"> 85081007454 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000528016100002 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0290062 Economic Systems 0939-3625 1878-5433 Roč. 44 č. 1 2020 Elsevier </unknown> </cas_special> </bibitem>