Title: Coupling coordination level and sustainable development of ecological environment and network economy based on data mining
Authors: Rong Wang; Zhenpeng Di; Xia Rong
Addresses: School of Marxism, Guangzhou Maritime University, GuangZhou, 510725, Guangdong, China ' School of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning, 530003, Guangxi, China ' Library and Information Center, Guangzhou Maritime University, GuangZhou, 510725, Guangdong, China
Abstract: Traditional studies on the coupling and coordination of economics and ecology often overlook the emerging network economy and fail to clarify its role in regional sustainable development. To fill this research gap, this study takes Lanzhou as the research object and combines data mining technology with a coupled coordination model to construct a multi-dimensional evaluation index system covering the ecological environment, traditional economy and network economy. By collecting and processing relevant data from Lanzhou, this study quantifies the coupling degree and coordination level between the ecological environment and the economic system (including the network economy), and dynamically tracks its evolution trend. The results show that the coupling coordination degree calculated in 2019 was 0.43, indicating that Lanzhou is at a low but improving level. This study shows that implementing a data-driven strategy can further strengthen the coupling and coordination between the ecological environment and the economy in Lanzhou.
Keywords: data mining; ecosystem and network economy; sustainable development; coupling and coordination.
International Journal of Environment and Pollution, 2026 Vol.76 No.8, pp.44 - 61
Received: 17 May 2025
Accepted: 24 Oct 2025
Published online: 04 Sep 2026 *


