CONFIGURATIONS OF KNOWLEDGE-INTENSIVE ENTREPRENEURIAL ECOSYSTEMS

ABSTRACT The dominant discourse on Entrepreneurial Ecosystems (EE) remains focused on the profile of a handful of successful locations. This has hindered a deeper comprehension of the economic mechanisms that shape evolutionary trends in entrepreneurial activity and how they operate in distinct places. We propose that EE have regularities, but they can also assume different configurations, i.e., varying combinations of influential dimensions. Through fuzzy set qualitative comparative analysis, we address this issue with data from the State of São Paulo, Brazil. This research focuses on five EE dimensions: Science & Technology, Human Capital, Market Dynamics, Business Dynamics, and Infrastructure. Findings point at the heterogeneous nature of EE distributed in three different paths. While configurations’ vary in terms of causal conditions, research universities, knowledge-intensive jobs and wider credit operations are core-causal conditions. Proximity to the main economic hub appears as a key differentiator among ecosystems.

摘要：当前关于创业生态系统（Entrepreneurial Ecosystems，EE）的主流研究话语仍聚焦于少数成功创业聚集地的发展概况。这一研究偏向制约了学界对塑造创业活动演化趋势的经济机制，以及该机制在不同地域的运作逻辑展开更深入的理解。本研究认为，创业生态系统既具备共性规律，同时也可呈现差异化的配置形态，即各影响维度的组合方式存在差异。本研究采用模糊集定性比较分析方法，结合巴西圣保罗州的相关数据对该问题展开探究。本研究聚焦五大创业生态系统维度：科学与技术（Science & Technology）、人力资本（Human Capital）、市场动态（Market Dynamics）、商业动态（Business Dynamics）以及基础设施（Infrastructure）。研究结果表明，分布于三条不同演化路径的创业生态系统呈现出显著的异质性特征。尽管各配置的因果条件存在差异，但研究型大学、知识密集型岗位以及覆盖范围更广的信贷业务属于核心因果条件。靠近核心经济枢纽则成为不同创业生态系统间的关键差异化因素。

搜集汇总

背景与挑战

背景概述

该数据集研究知识密集型创业生态系统的配置，基于巴西圣保罗州的数据，通过模糊集定性比较分析探索五个关键维度（如科学与技术、人力资本）的组合方式。研究发现生态系统存在三种不同配置路径，其中研究型大学、知识密集型工作和信贷操作是核心驱动因素，而主要经济中心的邻近性是关键区分因素。