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The rapid development of China’s economy has led to increasing problems with energy security and environmental pollution. Sustainable economic and environmental development in China can be effectively ensured through the sustainable development of new energy enterprises. Moreover, network theory holds that enterprises form multiple complex and diverse social networks through their interconnection, which further boosts the sustainable development of enterprises. This study used the social network analysis method and the accelerating genetic algorithm projection pursuit model, embedded new energy enterprises in technological innovation networks, and established a conceptual model that included network embeddedness, external resource acquisition, corporate social responsibility, and the sustainable development capability of enterprises. Then, hierarchical regression analysis was used to test the conceptual model. The results of this study provide a new theoretical basis and relevant policy suggestions for the sustainable development of China’s new energy enterprises. The results are also important for China’s environmental governance and for creating a green and harmonious future ecological environment.

Effects of Technological Innovation Network Embeddedness on the Sustainable Development Capability of New Energy Enterprises