Purpose

This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

Design/methodology/approach

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Findings

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

Research limitations/implications

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Practical implications

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Social implications

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Originality/value

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.

中文翻译：

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确定深科技创业的必要条件

目的

本文旨在解决创业生态系统 (EE) 提供的哪些资源是深度技术创业所必需的。

设计/方法/途径

作者使用一种称为必要条件分析 (NCA) 的新方法来处理来自 132 个国家/地区的 EE 和深科技初创公司的数据，这些数据收集在全球创新指数和 Crunchbase 数据集中。NCA 可以确定 EEs 资源是否是实现创业的必要条件。

发现

必要条件与政治和商业环境有关；教育、研究和开发；一般基础设施；信用; 贸易; 多元化和市场规模；和知识吸收能力。

研究局限性/影响

结果表明，商业和政治环境是推动深科技创业的最必要条件。

实际影响

政策制定者可以优先考虑最大化创业产出水平的条件，而不是关注不太必要的要素。

社会影响

有些资源需要的性能比其他资源低。因此，政策制定者应该考虑分配政策努力来加强资源，以最大限度地提高产出水平。

原创性/价值

关于深科技创业的研究很少。这项研究提供了一个瓶颈分析，可以指导制定支持深科技创业的政策，因为它可以确定资源分配的优先领域。