This research seeks to measure the impact of people with technological knowledge on regional digital economic activity and the implications of prosperous cities' contagion effect on neighbouring ones. The focus of this study is quantitative, cross-sectional, and its design is correlational-causal. This study covers seven micro-regions of Minas Gerais in Brazil, organized in 89 municipalities, with 69% urban population and 31% rural. The data used consisted of 4,361 observations obtained in the Brazilian government's public repositories, organized into panel data, and analysed using partial least squares, micro-regional spatial regression, and identification patterns with machine learning. The confirmatory analysis of the regression test establishes a significant impact between the CE's technological knowledge and the digital economic activity AED through a predictive value of R2 = .749, \b{eta} = .867, p = .000 (value t = 18,298). With high notoriety among the variables, public and private university institutions (IUPP), professors with doctorates and masters (DCNT), and information technology occupations (CBO). A geographic concentration of companies that demand technology-based skills had effects by slowing down the development of small municipalities, suggesting the development of new government technology initiatives that support new business models based on technological knowledge.
翻译:这项研究旨在衡量拥有技术知识的人对区域数字经济活动的影响,以及繁荣城市的蔓延效应对邻国的影响。这项研究的重点是量化、跨部门和设计关联性的结果。这项研究涵盖巴西Minas Gerais的七个微型区域,分布在89个城市,城市人口占69%,农村占31%。使用的数据包括在巴西政府公共储存库中获得的4 361项观测,编成小组数据,并使用部分最低方、微观区域空间倒退和机器学习识别模式进行分析。对回归测试的确认性分析通过预测值R2=749,\b{eta}=867,p=.000(价值t=18,298),确定了CEE的技术知识与数字经济活动之间的重大影响。通过预测值R2=749,\b{eta}=867,p=.000(价值t=18,298) 所使用的数据由变量、公立和私立大学机构(IUPP)、博士和硕士教授(DCNT)以及信息技术职业分析。对公司的技术知识的地理集中性分析,表明政府新技术发展模式对新技术发展产生缓慢影响的各城市的技术影响。