基于社会经济指标的中欧和东欧创业生态系统建模

IF 0.5 Q4 ECONOMICS EGE ACADEMIC REVIEW Pub Date : 2023-07-18 DOI:10.32342/2074-5354-2023-2-59-21
V. Smachylo, L. Sliusareva, Iryna Bozhydai, Oleh V. Kulinich
{"title":"基于社会经济指标的中欧和东欧创业生态系统建模","authors":"V. Smachylo, L. Sliusareva, Iryna Bozhydai, Oleh V. Kulinich","doi":"10.32342/2074-5354-2023-2-59-21","DOIUrl":null,"url":null,"abstract":"The article is devoted to solving the problem of the development of startup ecosystems in the countries of Central and Eastern Europe (including Ukrainian entrepreneurship since Ukraine gained independence) by reorienting their economy to a market economy and conducting it based on sustainable development, ethics, and social responsibility. It has been found that in the countries a large number of mechanisms and procedures are not fully adapted to the implementation of entrepreneurial activity based on systematicity, complexity, and interaction; only point elements are present, and the effectiveness of their interaction in the process of entrepreneurial activity is quite low. At the same time, the rapid development of startup ecosystems is observed. The definition of this concept in the article is considered from the point of view of scientists as “a combination of localized cultural views, social networks, investment capital, universities, and active economic policies that create an environment that supports innovative business” and Startup Genome. This allows for the interpreting of a startup ecosystem as “a set of resources (policies, accelerators, incubators, co-working spaces, educational institutions, and funding groups) that are mostly located within a radius of 100 kilometers around a central point in a given region, with a few exceptions based on local realities”. It has been established that at the moment the theoretical concept of entrepreneurial ecosystems is insufficiently developed, which does not allow unambiguously interpreting its composition, as well as determining the impact on the development of startup. It has been revealed that the central driver of start-up ecosystems is most often considered by universities as centers of education and driving forces of innovative growth. It is innovations that are determined as a source of entrepreneurship development. The above was the basis for consideration and a possible solution to the problem of building a model that would describe the development of the startup ecosystem of the countries of Central and Eastern Europe based on the analysis of a set of indicators that characterize the startup ecosystem according to the Dealroom.co methodology, where the most popular and those that Ecosystem value is the most complete description of the development of the startup ecosystem. The European experience in the development of startup ecosystems has been analyzed. The structural components of the startup ecosystem have been reflected, and their role in the functioning of the system and their interrelationships has been defined. The functioning of startup ecosystems in European countries has been described. Possible directions of application of the European experience in the development of startup ecosystems in Ukraine have been studied. At the same time, the government of Ukraine considers the IT industry and military tech (high-tech weapons) as priorities in further development, which is especially relevant during military operations. The study was tested on the Greek startup ecosystem and found that the most significant issues affecting the successful development of startups are issues at the state level, which are related to tax incentives and acceleration of start-up procedures, the availability of financing opportunities, communication between interested parties, entrepreneurial education, previous startup experience, incubator support, and mentoring. A regression-correlation analysis of a set of five indicators (Number of unicorns, Future unicorns, VC funding, Number of exits, Employees, New funds, Number of startups, Number of funding rounds), which have the greatest significance for the Ecosystem value of the country, has been carried out. A model has been built that determines the dependence of Ecosystem value on the action of a set of significant factors: Number of unicorns, Future unicorns, VC funding, Number of exits, and Employees, which allows predicting the development of the startup ecosystem of the countries of the world.","PeriodicalId":43307,"journal":{"name":"EGE ACADEMIC REVIEW","volume":"43 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE MODELING OF STARTUP ECOSYSTEMS IN CENTRAL AND EASTERN EUROPE BASED ON SOCIO-ECONOMIC INDICATORS\",\"authors\":\"V. Smachylo, L. Sliusareva, Iryna Bozhydai, Oleh V. Kulinich\",\"doi\":\"10.32342/2074-5354-2023-2-59-21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is devoted to solving the problem of the development of startup ecosystems in the countries of Central and Eastern Europe (including Ukrainian entrepreneurship since Ukraine gained independence) by reorienting their economy to a market economy and conducting it based on sustainable development, ethics, and social responsibility. It has been found that in the countries a large number of mechanisms and procedures are not fully adapted to the implementation of entrepreneurial activity based on systematicity, complexity, and interaction; only point elements are present, and the effectiveness of their interaction in the process of entrepreneurial activity is quite low. At the same time, the rapid development of startup ecosystems is observed. The definition of this concept in the article is considered from the point of view of scientists as “a combination of localized cultural views, social networks, investment capital, universities, and active economic policies that create an environment that supports innovative business” and Startup Genome. This allows for the interpreting of a startup ecosystem as “a set of resources (policies, accelerators, incubators, co-working spaces, educational institutions, and funding groups) that are mostly located within a radius of 100 kilometers around a central point in a given region, with a few exceptions based on local realities”. It has been established that at the moment the theoretical concept of entrepreneurial ecosystems is insufficiently developed, which does not allow unambiguously interpreting its composition, as well as determining the impact on the development of startup. It has been revealed that the central driver of start-up ecosystems is most often considered by universities as centers of education and driving forces of innovative growth. It is innovations that are determined as a source of entrepreneurship development. The above was the basis for consideration and a possible solution to the problem of building a model that would describe the development of the startup ecosystem of the countries of Central and Eastern Europe based on the analysis of a set of indicators that characterize the startup ecosystem according to the Dealroom.co methodology, where the most popular and those that Ecosystem value is the most complete description of the development of the startup ecosystem. The European experience in the development of startup ecosystems has been analyzed. The structural components of the startup ecosystem have been reflected, and their role in the functioning of the system and their interrelationships has been defined. The functioning of startup ecosystems in European countries has been described. Possible directions of application of the European experience in the development of startup ecosystems in Ukraine have been studied. At the same time, the government of Ukraine considers the IT industry and military tech (high-tech weapons) as priorities in further development, which is especially relevant during military operations. The study was tested on the Greek startup ecosystem and found that the most significant issues affecting the successful development of startups are issues at the state level, which are related to tax incentives and acceleration of start-up procedures, the availability of financing opportunities, communication between interested parties, entrepreneurial education, previous startup experience, incubator support, and mentoring. A regression-correlation analysis of a set of five indicators (Number of unicorns, Future unicorns, VC funding, Number of exits, Employees, New funds, Number of startups, Number of funding rounds), which have the greatest significance for the Ecosystem value of the country, has been carried out. A model has been built that determines the dependence of Ecosystem value on the action of a set of significant factors: Number of unicorns, Future unicorns, VC funding, Number of exits, and Employees, which allows predicting the development of the startup ecosystem of the countries of the world.\",\"PeriodicalId\":43307,\"journal\":{\"name\":\"EGE ACADEMIC REVIEW\",\"volume\":\"43 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EGE ACADEMIC REVIEW\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32342/2074-5354-2023-2-59-21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EGE ACADEMIC REVIEW","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32342/2074-5354-2023-2-59-21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本文致力于解决中欧和东欧国家(包括乌克兰独立以来的乌克兰创业)的创业生态系统发展问题,通过将经济重新定位为市场经济,并基于可持续发展,道德和社会责任进行经济发展。研究发现,在这些国家中,基于系统性、复杂性和互动性,许多机制和程序并不完全适应企业活动的实施;只有点要素存在,在创业活动过程中相互作用的有效性很低。与此同时,创业生态系统也在快速发展。文章中对这一概念的定义,从科学家的角度来看,被认为是“结合本地化的文化观点、社会网络、投资资本、大学和积极的经济政策,创造一个支持创新商业的环境”和创业基因组。这允许将创业生态系统解释为“一组资源(政策、加速器、孵化器、联合办公空间、教育机构和融资团体),这些资源大多位于给定地区中心点周围100公里的半径内,根据当地实际情况有少数例外”。已经确定的是,目前创业生态系统的理论概念还不够成熟,无法明确地解释其构成,也无法确定其对创业发展的影响。据透露,创业生态系统的核心驱动力通常被大学视为教育中心和创新增长的驱动力。创新被确定为创业发展的源泉。以上是考虑的基础和一个可能的解决方案,以建立一个模型来描述中欧和东欧国家的创业生态系统的发展,该模型基于对一组指标的分析,根据Dealroom来描述创业生态系统的特征。其中最流行的和那些认为生态系统价值最完整的描述了创业生态系统的发展。分析了欧洲在创业生态系统发展方面的经验。已经反映了创业生态系统的结构组成部分,并定义了它们在系统功能中的作用及其相互关系。已经描述了欧洲国家创业生态系统的功能。研究了在乌克兰发展创业生态系统中应用欧洲经验的可能方向。与此同时,乌克兰政府认为IT行业和军事技术(高科技武器)是进一步发展的重点,这在军事行动中尤为重要。该研究对希腊创业生态系统进行了测试,发现影响创业成功发展的最重要问题是国家层面的问题,这些问题与税收优惠和创业程序的加速、融资机会的可用性、利益相关方之间的沟通、创业教育、以前的创业经验、孵化器支持和指导有关。对对国家生态价值意义最大的五个指标(独角兽数量、未来独角兽数量、风投资金、退出数量、员工数量、新基金数量、创业公司数量、融资轮次数量)进行回归相关分析。建立了生态系统价值对独角兽数量、未来独角兽数量、VC资金、退出数量、员工数量等重要因素的依赖关系模型,预测世界各国创业生态系统的发展情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
THE MODELING OF STARTUP ECOSYSTEMS IN CENTRAL AND EASTERN EUROPE BASED ON SOCIO-ECONOMIC INDICATORS
The article is devoted to solving the problem of the development of startup ecosystems in the countries of Central and Eastern Europe (including Ukrainian entrepreneurship since Ukraine gained independence) by reorienting their economy to a market economy and conducting it based on sustainable development, ethics, and social responsibility. It has been found that in the countries a large number of mechanisms and procedures are not fully adapted to the implementation of entrepreneurial activity based on systematicity, complexity, and interaction; only point elements are present, and the effectiveness of their interaction in the process of entrepreneurial activity is quite low. At the same time, the rapid development of startup ecosystems is observed. The definition of this concept in the article is considered from the point of view of scientists as “a combination of localized cultural views, social networks, investment capital, universities, and active economic policies that create an environment that supports innovative business” and Startup Genome. This allows for the interpreting of a startup ecosystem as “a set of resources (policies, accelerators, incubators, co-working spaces, educational institutions, and funding groups) that are mostly located within a radius of 100 kilometers around a central point in a given region, with a few exceptions based on local realities”. It has been established that at the moment the theoretical concept of entrepreneurial ecosystems is insufficiently developed, which does not allow unambiguously interpreting its composition, as well as determining the impact on the development of startup. It has been revealed that the central driver of start-up ecosystems is most often considered by universities as centers of education and driving forces of innovative growth. It is innovations that are determined as a source of entrepreneurship development. The above was the basis for consideration and a possible solution to the problem of building a model that would describe the development of the startup ecosystem of the countries of Central and Eastern Europe based on the analysis of a set of indicators that characterize the startup ecosystem according to the Dealroom.co methodology, where the most popular and those that Ecosystem value is the most complete description of the development of the startup ecosystem. The European experience in the development of startup ecosystems has been analyzed. The structural components of the startup ecosystem have been reflected, and their role in the functioning of the system and their interrelationships has been defined. The functioning of startup ecosystems in European countries has been described. Possible directions of application of the European experience in the development of startup ecosystems in Ukraine have been studied. At the same time, the government of Ukraine considers the IT industry and military tech (high-tech weapons) as priorities in further development, which is especially relevant during military operations. The study was tested on the Greek startup ecosystem and found that the most significant issues affecting the successful development of startups are issues at the state level, which are related to tax incentives and acceleration of start-up procedures, the availability of financing opportunities, communication between interested parties, entrepreneurial education, previous startup experience, incubator support, and mentoring. A regression-correlation analysis of a set of five indicators (Number of unicorns, Future unicorns, VC funding, Number of exits, Employees, New funds, Number of startups, Number of funding rounds), which have the greatest significance for the Ecosystem value of the country, has been carried out. A model has been built that determines the dependence of Ecosystem value on the action of a set of significant factors: Number of unicorns, Future unicorns, VC funding, Number of exits, and Employees, which allows predicting the development of the startup ecosystem of the countries of the world.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
EGE ACADEMIC REVIEW
EGE ACADEMIC REVIEW ECONOMICS-
自引率
0.00%
发文量
32
期刊最新文献
IPOs AND EVALUATION OF THE BORSA ISTANBUL IPO INDEX How Does Being Trusted Affect Sharing? Findings from the Ultimatum Game Kicking the Ladder or Not? Unraveling Income Inequality Perceptions in the World Male Alcohol Use, Intimate Partner Violence, and Female Autonomy Wage Returns to Field of Study-Occupation Mismatch in Turkish Graduate Labor Market: Quantile Regression Approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1