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Using Green IoT as a Development Path of Green Trade Economy for Ecological Sustainable Development.

Authors :
Li, Xin
Source :
Mobile Information Systems; 10/6/2022, p1-12, 12p
Publication Year :
2022

Abstract

The advancement of the Internet of Things (IoT) technology and its incorporation into the trade economy has altered and improved our way of life and work. However, IoT technologies pose various issues in the green economy, including increased energy consumption, hazardous pollutants, and electronic waste. Therefore, green IoT contributes to a more environmentally friendly atmosphere that is more affordable for the green economy. As a result, it is critical to address tactics and strategies for decreasing pollution threats, traffic waste, resource utilization, energy usage, public safety, living standard, environmental sustainability, and cost management. Apart from these, the continual deepening of the trade economy has accelerated Shandong Province's rapid economic development, and the province's broad economic development mode had major negative consequences on the ecological environment. Based on the evolution of international commerce in Shandong Province and the present status of the ecological environment, this study first calculates the province's carbon emissions using the Kaya identity and derives the regression findings using the Eviews software. It examines the data link between the province's carbon emissions, energy consumption, and trade by determining the province's export carbon emissions from various industrial sectors. According to the statistics, the export carbon emissions of Shandong Province's ferrous metal rolling industry, chemical raw material production sector, and textile industry are relatively high, at 6.764 million tons, 5.502 million tons, and 3.918 million tons, respectively. The carbon emissions from the three industrial sectors mentioned above account for approximately 49% of total carbon emissions, which is a considerable reduction and in line with the concept of green IoT. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1574017X
Database :
Complementary Index
Journal :
Mobile Information Systems
Publication Type :
Academic Journal
Accession number :
159527837
Full Text :
https://doi.org/10.1155/2022/9145294