Chen Yang, Business College, Xinyang Normal University, Xinyang 464000, China

ORCID ID: 0000-0002-4801-4036

e-mail: eugene2580@163.com

Zhang Heng, Academic and Research Institute for Business, Economics and Management, Sumy State University,

ORCID ID: 0009-0001-2636-7690

Evaluation of Green Transformation Efficiency in Manufacturing Industry based
on Super Efficient SBM-ML Model

Abstract. Introduction. The manufacturing sector is a vital driver of high-quality economic development and plays a crucial role in promoting comprehensive green economic and social transformation.

Purpose. Promoting the green transformation and upgrading of the manufacturing industry is essential for achieving high-quality economic development and accelerating the sector’s continuous growth.

Results. This paper uses provincial panel data from 2011 to 2023 and the SBM-GML index model to evaluate the efficiency of China’s green transformation and development in manufacturing. The paper also uses kernel density estimation methods to depict the evolution of these trends over time.

Conclusions. To improve the efficiency of the manufacturing industry’s green transformation and development, the paper suggests improving the level of green technology innovation, strengthening policy guidance and supervision, and enhancing talent training for manufacturing transformation. 

Keywords: Super Efficiency SBM-ML Model; Kernel Density Estimation; Green Transformation of Manufacturing Industry

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