Abstract:     Low-carbon strategic planning is the primary link and core component of the low-carbon strategic transformation process of enterprises, which is of great significance for realizing the national goal of "carbon peaking and carbon neutrality", thus promoting the sustainable development of enterprises themselves, and enhancing core competitiveness and social responsibility. This paper put forward a measurement method based on ChatGPT and other big data models to measure the index of "enterprise low-carbon strategic planning degree". Furthermore, the "e-interaction of investors" with the Q&A and enterprise operation data of listed companies on the main Board from 2016 to 2023 were taken as research samples to analyze the low-carbon strategic planning, path and mechanism to help enterprises improve their green innovation performance through low-carbon transformation capital sources. The findings are as follows: first, detailed and complete low-carbon strategic planning has significantly improved the financing ability of enterprises to raise green bonds; second, detailed and complete low-carbon strategic planning is helpful for enterprises to obtain green government subsidies; and third, green transformation funds, such as green bond financing etc., are effective ways for low-carbon strategic planning to promote the growth of green innovation performance of enterprises. The heterogeneity study showed that state-owned enterprises and high-tech enterprises are more likely to obtain green transformation funds and have higher green innovation performance when they formulate detailed and comprehensive low-carbon strategic plans. Based on the frame of "strategic process", the paper focused on the low-carbon strategic planning, and it will provide some beneficial suggestions for enterprise low-carbon strategic management and green innovation from the perspective of financing path.

Key words:  low-carbon strategic planning, ChatGPT, "e-interaction" of investors, green innovation performance