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Article

Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China

by 1, 2,* and 1
1
School of Economic and Management, Dongguan University of Technology, Dongguan 523808, China
2
College of System Engineering, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(2), 438; https://doi.org/10.3390/su11020438
Received: 12 December 2018 / Revised: 6 January 2019 / Accepted: 10 January 2019 / Published: 15 January 2019
The Sino–US trade war has prompted China to re-examine the development of manufacturing, while the energy crisis restricts such development. Scientifically planning industrial energy allocation is important for supporting industrial transformation and the upgrading of manufacturing. The embodied energy flow in China’s manufacturing was investigated by reconstructing the energy flow network; taking a systems perspective, a fine-grained analysis of the emerging patterns and evolution of these flows in the internal and external manufacturing industries was performed, thus providing useful insights for energy planning. The results show that in the internal and external networks of Chinese manufacturing, most of the embodied energy convergence and transmission is concentrated in a few industries Moreover, it is clear that industries with stronger embodied energy convergence and conductivity are generally more likely to be associated with industries with weak convergence and conductivity. Preferential selection is an important mechanism for the generation of embodied energy flow paths. The choices of the embodied energy flow paths of various industries exhibit the preference that ‘the rich get richer,’ and newly generated flow paths are more likely to be chosen for connectivity to a path of strong convergence or conductivity. The embodied energy flow patterns of the internal network of manufacturing mainly include two-focus and multi-focus convergence patterns, while that of the external network of manufacturing is mainly a two-focus transmission pattern. Within in-edge networks, communities of high-end manufacturing have gathered most of the embodied energy, while in out-edge networks, communities of traditional manufacturing have been key in the transmission of embodied energy. The impacts of the internal and external network types, and of the in-edge and out-edge types on the stability of the embodied energy flow pattern are separate, and the embodied energy flow pattern is stable. Based on these findings, an ‘energy-related industrial cluster’ model is proposed here to aid in energy convergence and transmission, as well as to realize network cluster synergy. View Full-Text
Keywords: manufacturing; embodied energy; energy planning; network science manufacturing; embodied energy; energy planning; network science
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MDPI and ACS Style

Feng, Z.; Zhou, W.; Ming, Q. Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China. Sustainability 2019, 11, 438. https://doi.org/10.3390/su11020438

AMA Style

Feng Z, Zhou W, Ming Q. Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China. Sustainability. 2019; 11(2):438. https://doi.org/10.3390/su11020438

Chicago/Turabian Style

Feng, Zhijun, Wen Zhou, and Qian Ming. 2019. "Embodied Energy Flow Patterns of the Internal and External Industries of Manufacturing in China" Sustainability 11, no. 2: 438. https://doi.org/10.3390/su11020438

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