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The Impact of Green and Low Carbon Aggregation on Economic Growth Based on Association Rule Algorithm

  • Suwei Zhou

摘要

At the same time as China's rapid economic growth, it has also brought huge losses to its resources and environment. Currently, China's resources and environmental issues have become the “bottleneck” and “constraint” of sustainable economic development. Only in the direction of green and low-carbon developmenteconomy in the future can we promote healthy and sustainable economic development, and solve the contradiction between economic development and the increasing resources and environment. Firstly, BigData (BD) and association rule algorithms, as well as BD algorithms, have a certain promoting effect on green and low-carbon development. Finally, this article explains the connotation and characteristics of green and low-carbon economy (LCE), analyzes the necessity of developing a green and LCE in China, and the importance of achieving a green and LCE. Finally, it explores the path for China to develop a green and LCE.