A Study of Green Development Mode and Total Factor Productivity of the Food Industry Based on the Industrial Internet of Things

作者：Zhang, Jiandong^*; Qu, Xiaoyu; Sangaiah, Arun Kumar

来源：IEEE Communications Magazine, 2018, 56(5): 72-78.

DOI：10.1109/MCOM.2018.1700789

• ECONOMIC-GROWTH
• CHINA
• EFFICIENCY
• ENERGY
• CLOUD

Under the background of the rapid development of the global low carbon economy and industrial Internet of Things, building an intelligent and environmentally friendly green industry development mode becomes more and more important. In order to realize real-time, efficient, economical, and environmentally friendly management for resources, and ultimately promote the green production transformation, every enterprise needs to ponder the process of modern industry development. Based on the Industrial Internet of Things, this article discusses the green development mode of the food industry, and uses the entropy method to measure the environmental pollution index of China's food industry. Considering the issue of environmental pollution and energy consumption, the article uses the DEA-Malmquist method to measure the green total factor productivity of all types of China's food industry from 2006 to 2014. The results show that the environmental pollution index of China's food industry shows a rise fall rise trend from 2006 to 2014. The green total factor productivity of Chinese food industry shows a rising trend from 2006 to 2014. The average technical efficiency of China's food industry is low, but the technical efficiency shows a rising trend. The technical efficiency of the agricultural food processing industry remains effective.

• 出版日期2018-5
• 单位大连工业大学