This study offers a novel analytical approach on the relationships between renewable energy consumption, capital, labor force, new firm formation rate, and economic growth. It aims to investigate such causal relationships using different estimation techniques such as the ordinary least squares (OLS) model, dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), and canonical cointegrating regression (CCR), along with necessary condition analysis (NCA), which are applied to data for France over the period 1987–2017. Our results show that all necessary conditions yield outcomes ranging from small- to large-sized effects on economic development. The French government should readdress its efforts towards encouraging more beneficial investments in renewable energy consumption. This study opens up new insights for policymakers to maintain environmental protection and ensure sustainable economic growth. Finally, the use of NCA reduces complexity and allows a better understanding of the relationships involved.

这项研究为可再生能源消耗，资本，劳动力，新企业组建率和经济增长之间的关系提供了一种新颖的分析方法。它旨在使用不同的估计技术（例如，普通最小二乘（OLS）模型，动态普通最小二乘（DOLS），完全修改的普通最小二乘（FMOLS）和规范协整回归（CCR））研究这种因果关系，以及必要的方法条件分析（NCA），适用于1987-2017年期间法国的数据。我们的结果表明，所有必要条件都会对经济发展产生从小到大的影响。法国政府应重新努力，鼓励在可再生能源消费方面进行更多有益的投资。这项研究为决策者维护环境保护和确保可持续的经济增长开辟了新的见解。最后，使用NCA可以降低复杂性，并可以更好地理解所涉及的关系。