Nexus of innovation, gross domestic product, CO2, and renewable energy in China

IF 12.2
Green Technologies and Sustainability Pub Date : 2026-01-01 Epub Date: 2025-08-20 DOI:10.1016/j.grets.2025.100261
Vu Ngoc Xuan
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Abstract

This study investigates the dynamic nexus between renewable energy (RE) consumption, economic growth (EG), carbon dioxide emissions (CO2), innovation (INN), and trade openness (TO) in China from 2000 to 2023. Unlike many previous studies that rely on ordinal innovation indices, this study employs a more robust proxy — R&D expenditure as a percentage of GDP — to capture the impact of technological innovation on RE use. Using a log–log econometric model and time-series data, the results show that EG and innovation significantly boost RE consumption, while CO2 emissions exert a negative influence. These findings support the Environmental Kuznets Curve (EKC) hypothesis and the Energy Transition Theory. The study offers critical insights for policy, suggesting that sustained investment in R&D and innovation ecosystems is essential for scaling up RE and achieving long-term carbon neutrality in China.
中国的创新、国内生产总值、二氧化碳和可再生能源
本文研究了2000 - 2023年中国可再生能源消费、经济增长、二氧化碳排放、创新和贸易开放之间的动态关系。与以往许多依赖于有序创新指数的研究不同,本研究采用了一个更强大的代理——研发支出占GDP的百分比——来捕捉技术创新对可再生能源利用的影响。利用对数对数计量模型和时间序列数据,研究结果表明,创新和创新对可再生能源消费有显著的促进作用,而二氧化碳排放对可再生能源消费有负向影响。这些发现支持了环境库兹涅茨曲线(EKC)假说和能量转换理论。该研究为政策提供了重要见解,表明对研发和创新生态系统的持续投资对于中国扩大可再生能源和实现长期碳中和至关重要。
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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