With the evolving world order, countries are using financial technologies (Fintech) to access financial resources more effectively, and Fintech can have an impact on the environment. This study aims to investigate the influence of Fintech on ecological sustainability, focusing on the contribution of renewable energy (RE) and government effectiveness (GE) under the Load Capacity Curve (LCC). This research analyzes data from 69 middle-income economies between 2006 and 2022 using the dynamic panel threshold model (DPTR). The outcomes document that GDP reduces the LCF below a certain threshold, but a positive impact above this threshold. Specifically, the model yielded a threshold value of $US 5222.234, which is higher than the average GDP of $US 4276.802. This finding suggests a U-shaped relationship between GDP and LCF, which supports the LCC hypothesis. The outcome also reports that Fintech plays a crucial role in improving ecological sustainability, while government effectiveness has a negative effect. The study emphasizes that middle-income countries should support Fintech and renewable energy along development with economic progress to improve ecological quality.

中文翻译：

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从全球视角审视负载能力曲线：金融科技的作用、政府效率和可再生能源


随着世界秩序的不断发展，各国正在利用金融科技 （Fintech） 更有效地获取金融资源，而金融科技可以对环境产生影响。本研究旨在调查金融科技对生态可持续性的影响，重点关注可再生能源 （RE） 和政府效率 （GE） 在负载能力曲线 （LCC） 下的贡献。本研究使用动态面板阈值模型 （DPTR） 分析了 2006 年至 2022 年间 69 个中等收入经济体的数据。结果证明 GDP 将 LCF 降低到某个阈值以下，但高于该阈值会产生积极影响。具体来说，该模型产生的阈值为 $US 5222.234，高于 4276.802 $US 的平均 GDP。这一发现表明 GDP 和 LCF 之间存在 U 形关系，这支持 LCC 假说。结果还报告称，金融科技在改善生态可持续性方面发挥着至关重要的作用，而政府有效性则具有负面影响。该研究强调，中等收入国家应支持金融科技和可再生能源以及经济发展，以改善生态质量。