Sun Jingjing, Guan Xin, Wang Zeyu, Zhang Jiali, Tan Yepei, Nie Peng
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
Guangzhou Xinhua University, Dongguan, 523133, China.
Sci Rep. 2025 May 26;15(1):18400. doi: 10.1038/s41598-025-02993-x.
The term "dual-carbon goals" refers to the commitment of nations or regions to achieving carbon peaking and carbon neutrality. In this context, this study specifically denotes reducing carbon emissions and promoting the transformation and upgrading of energy markets through green innovation and entrepreneurial activities. This study explores the dynamic relationships among key variables in the energy market. It focuses on the impact of investments in green technological innovation on the balance of energy supply and demand, as well as market demand. The findings aim to provide scientific evidence to support the achievement of sustainable development goals. Through system dynamics modeling, this study analyzes the intricate relationships among energy demand, supply, green technology innovation investment, and market demand. In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. The results indicate that, in the dual-carbon era, investment in green innovation and entrepreneurship plays a significant role. This study enhances the proportion of renewable energy in the market, reduces carbon emissions, and accelerates the transformation of energy demand. Conservative market participants dominate the energy market, but the rise of innovative market participants suggests a positive influence of green innovation and entrepreneurship on market structure. The accuracy of the predictive model provides a reliable basis for policy formulation and strategic planning, offering scientific guidance for achieving sustainable energy development goals.
“双碳目标”一词指的是国家或地区实现碳达峰和碳中和的承诺。在此背景下，本研究具体指的是通过绿色创新和创业活动减少碳排放并促进能源市场的转型与升级。本研究探讨了能源市场中关键变量之间的动态关系。它关注绿色技术创新投资对能源供需平衡以及市场需求的影响。研究结果旨在提供科学依据以支持可持续发展目标的实现。通过系统动力学建模，本研究分析了能源需求、供应、绿色技术创新投资和市场需求之间的复杂关系。在复杂网络分析领域，将市场参与者分为保守型、稳健型和创新型群体，并考察他们的市场行为模式。在数据挖掘和机器学习阶段，本研究构建了一个准确率达85%的预测模型，预测未来绿色创新和创业对市场需求和能源供应的影响。结果表明，在双碳时代，绿色创新和创业投资发挥着重要作用。本研究提高了市场中可再生能源的占比，减少了碳排放，并加速了能源需求的转变。保守型市场参与者主导着能源市场，但创新型市场参与者的崛起表明绿色创新和创业对市场结构具有积极影响。预测模型的准确性为政策制定和战略规划提供了可靠依据，为实现可持续能源发展目标提供了科学指导。
