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{"id":20554,"date":"2025-07-30T13:37:09","date_gmt":"2025-07-30T10:37:09","guid":{"rendered":"https:\/\/modecon.mnau.edu.ua\/?p=20554"},"modified":"2025-07-30T13:37:09","modified_gmt":"2025-07-30T10:37:09","slug":"evaluation-of-green-transformation-efficiency","status":"publish","type":"post","link":"https:\/\/modecon.mnau.edu.ua\/en\/evaluation-of-green-transformation-efficiency\/","title":{"rendered":"Chen Yang, Zhang Heng. Evaluation of Green Transformation Efficiency in Manufacturing Industry based on Super Efficient SBM-ML Model"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]<\/p>\n\n\n\n
JEL Classification:<\/strong> Q51, Q53, C1<\/td>\nDOI<\/b>: https:\/\/doi.org\/10.31521\/modecon.V51(2025)-34<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][vc_column_text]Chen Yang,<\/strong> Business College, Xinyang Normal University, Xinyang 464000, China<\/p>\n

ORCID ID:<\/strong> 0000-0002-4801-4036<\/span><\/a><\/p>\n

e-mail:<\/strong> eugene2580@163.com<\/span><\/a><\/p>\n

Zhang Heng,<\/strong> Academic and Research Institute for Business, Economics and Management, Sumy State University,<\/p>\n

ORCID ID:<\/strong> 0009-0001-2636-7690<\/span><\/a><\/p>\n

Evaluation of Green Transformation Efficiency in Manufacturing Industry based
\non Super Efficient SBM-ML Model<\/h2>\n

Abstract. Introduction<\/i><\/b>. <\/span><\/i>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.<\/span><\/i><\/p>\n

Purpose<\/i><\/b>. 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.<\/span><\/i><\/p>\n

Results<\/i><\/b>. 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.<\/span><\/i><\/p>\n

Conclusions<\/i><\/b>. 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.\u00a0<\/span><\/i><\/p>\n

Keywords<\/b>: Super Efficiency SBM-ML Model; Kernel Density Estimation; Green Transformation of Manufacturing Industry<\/span><\/i><\/p>\n

References<\/b>:<\/strong><\/p>\n

    \n
  1. Xu, L., Wu, S., Xu, Y., & Han, S. (2023). Green development policies for China\u2019s manufacturing industry: Characteristics, evolution, and challenges. Sustainability, 15(13), 10618.<\/span><\/li>\n
  2. Paul, I. D., Bhole, G. P., & Chaudhari, J. R. (2014). A review on green manufacturing: it’s important, methodology and its application. Procedia materials science, 6, 1644-1649.<\/span><\/li>\n
  3. D’Angelo, V., Cappa, F., & Peruffo, E. (2023). Green manufacturing for sustainable development: The positive effects of green activities, green investments, and non\u2010green products on economic performance. Business Strategy and the Environment, 32(4), 1900-1913.<\/span><\/li>\n
  4. Rehman, M. A., & Shrivastava, R. L. (2013). Green manufacturing (GM): past, present and future (a state of art review). World Review of Science, Technology and Sustainable Development, 10(1-2-3), 17-55.<\/span><\/li>\n
  5. Acharya, S. G., Vadher, J. A., & Acharya, G. D. (2014). A review on evaluating green manufacturing for sustainable development in foundry industries.<\/span><\/li>\n
  6. Deng Mengjie, Li Yihua, Wu Luqing, et al. (2024). Green Development Efficiency of Cold Chain Logistics Based on the Super-Efficiency SBM-GML Index Model [J]. Journal of Central South University of Forestry and Technology, 2024,44(04):189-200.<\/span><\/li>\n
  7. Guo Xiaoying, Yang Yang (2025). The Impact of Intelligent Production Services on the Efficiency of Green Transformation in Manufacturing [J]. Industrial Innovation Research, 2025, (07):58-64.<\/span><\/li>\n
  8. Bai, C., & Satir, A. (2020). Barriers for green supplier development programs in manufacturing industry. Resources, Conservation and Recycling, 158, 104756.<\/span><\/li>\n
  9. Siyal,A. W., Chen, H., Shahzad, F., & Bano, S. (2023). Investigating the role of institutional pressures, technology compatibility, and green transformation in driving manufacturing industries toward green development. Journal of Cleaner Production, 428, 139416.<\/span><\/li>\n
  10. Gilli, M., Marin, G., Mazzanti, M., & Nicolli, F. (2017). Sustainable development and industrial development: manufacturing environmental performance, technology and consumption\/production perspectives. Journal of Environmental Economics and Policy, 6(2), 183-203.<\/span><\/li>\n
  11. W\u0119glarczyk, S. (2018). Kernel density estimation and its application. In ITM web of conferences (Vol. 23, p. 00037). EDP Sciences.<\/span><\/li>\n
  12. Lee, W. J., Mendis, G. P., Triebe, M. J., & Sutherland, J. W. (2020). Monitoring of a machining process using kernel principal component analysis and kernel density estimation. Journal of Intelligent Manufacturing, 31(5), 1175-1189.<\/span><\/li>\n<\/ol>\n

    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Received:<\/strong> 24 June 2025<\/span><\/p>\n

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    Chen Yang, Zhang Heng. (2025). Evaluation of Green Transformation Efficiency in Manufacturing Industry based on Super Efficient SBM-ML Model. Modern Economics, 51(2025), 259-265. DOI: https:\/\/doi.org\/10.31521\/modecon.V51(2025)-34.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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    [vc_row][vc_column][vc_column_text] JEL Classification: Q51, Q53, C1 DOI: https:\/\/doi.org\/10.31521\/modecon.V51(2025)-34 [\/vc_column_text][vc_column_text]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.
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