Sustainable futures: What's driving France's eco-revolution?

IF 13.3 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-07-21 DOI:10.1016/j.techfore.2025.124284

Kishwar Ali , Qingyu Zhang , Francesco Paolo Appio

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Abstract

This study explores the interplay between industrial robot adoption, green bonds, climate patents, and economic governance in reducing the greenhouse gas emissions intensity of energy consumption (GIEC) in France. Using advanced econometric methodologies, including Kernel Regularized Least Squares and Bayesian Neural Networks, we analyze quarterly data from 2008 to 2019 to uncover both direct and moderating effects. The findings reveal that industrial robots, green bonds, and climate-focused patents significantly reduce GIEC, while household energy consumption has an adverse effect. The moderating role of economic governance in France is pivotal; amplifying emissions from green finance and technology, while curbing those from household energy use, emphasizing the need for targeted, environmentally aligned governance strategies. Sensitivity analyses confirm these patterns across alternative specifications. By revealing the sector-specific channels through which technology, finance, and governance jointly deliver—or derail—decarbonisation, the study sharpens ecological modernisation theory and equips managers and policymakers with an integrated, evidence-based blueprint for aligning industrial efficiency, green finance, and institutional reform to meet national and Paris-Agreement climate goals.

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可持续的未来：是什么推动了法国的生态革命？

本研究探讨了法国工业机器人采用、绿色债券、气候专利和经济治理在降低能源消耗温室气体排放强度（GIEC）方面的相互作用。我们使用先进的计量经济学方法，包括核正则化最小二乘和贝叶斯神经网络，分析了2008年至2019年的季度数据，以揭示直接和调节效应。研究结果显示，工业机器人、绿色债券和以气候为重点的专利显著降低了GIEC，而家庭能源消耗则产生了不利影响。在法国，经济治理的调节作用至关重要；扩大绿色金融和技术的排放，同时遏制家庭能源使用的排放，强调有针对性、符合环境的治理战略的必要性。敏感性分析在不同的规范中确认了这些模式。通过揭示技术、金融和治理共同实现或破坏脱碳的特定行业渠道，该研究强化了生态现代化理论，为管理者和政策制定者提供了一个综合的、基于证据的蓝图，以协调工业效率、绿色金融和制度改革，以实现国家和《巴黎协定》的气候目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.