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To promote manufacturing transformation and upgrading, this paper proposes a comprehensive analytical framework for manufacturing development from an industrial network perspective. We explore the organizational structure of the manufacturing association network based on the industrial network analysis technique and the modern network analysis technique. A new data envelopment analysis (DEA) model, which considers the interrelated and interactive characteristics of various sectors, is used to evaluate the static and dynamic performance of manufacturing sectors combining the Malmquist productivity index (MLI). We adopt this framework to analyze the development of 18 manufacturing sectors in Hubei Province, China, during the 2012–2017 period. Key development sectors play a critical role in the stability and development of the manufacturing system, yet their performance did not show significant improvement during this timeframe. During the implementation of the Made in China 2025 strategy, most sectors followed the transformation path by enhancing technological strength first and technological application capabilities later. The manufacturing industry in Hubei Province suffers from insufficient informatization construction and slow productivity improvement. • A new DEA model that considers the interrelated and interactive characteristics of sectors is proposed. • A comprehensive analysis framework is proposed from an industrial network perspective. • Our analytical framework can depict the manufacturing state in the dimensions of structure and benefits. • The manufacturing structure, transformation path, and performance evolution are analyzed. • We explore the transformation paths of manufacturing sectors during the implementation of the Made in China 2025 plan. [ABSTRACT FROM AUTHOR]

To promote manufacturing transformation and upgrading, this paper proposes a comprehensive analytical framework for manufacturing development from an industrial network perspective. We explore the organizational structure of the manufacturing association network based on the industrial network analysis technique and the modern network analysis technique. A new data envelopment analysis (DEA) model, which considers the interrelated and interactive characteristics of various sectors, is used to evaluate the static and dynamic performance of manufacturing sectors combining the Malmquist productivity index (MLI). We adopt this framework to analyze the development of 18 manufacturing sectors in Hubei Province, China, during the 2012–2017 period. Key development sectors play a critical role in the stability and development of the manufacturing system, yet their performance did not show significant improvement during this timeframe. During the implementation of the Made in China 2025 strategy, most sectors followed the transformation path by enhancing technological strength first and technological application capabilities later. The manufacturing industry in Hubei Province suffers from insufficient informatization construction and slow productivity improvement. • A new DEA model that considers the interrelated and interactive characteristics of sectors is proposed. • A comprehensive analysis framework is proposed from an industrial network perspective. • Our analytical framework can depict the manufacturing state in the dimensions of structure and benefits. • The manufacturing structure, transformation path, and performance evolution are analyzed. • We explore the transformation paths of manufacturing sectors during the implementation of the Made in China 2025 plan. [ABSTRACT FROM AUTHOR]