6 Papers
Bowen Da is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Emissions trading & Supply chain. The author has an hindex of 5, co-authored 6 publications.
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Papers
Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China
TL;DR: Wang et al. as discussed by the authors analyzed the temporal and spatial characteristics of the coordination of urbanization and eco-environment of 30 provinces in China from 2005 to 2015, using the method of coupling coordination degree model and global (local) spatial autocorrelation.
272
Dependence and risk spillovers between green bonds and clean energy markets
TL;DR: In this paper, the authors examined the dynamic dependence structure between green bonds and several global and sectoral clean energy (CE) markets by using several time-invariant and time-varying copula approaches over the period from 5 July 2011 to 24 February 2020.
217
A novel heterogeneous ensemble credit scoring model based on bstacking approach
TL;DR: A novel heterogeneous ensemble credit scoring model that integrates the bagging algorithm with the stacking method is proposed that significantly outperforms several state-of-the-art benchmark models and is discussed from a regulatory perspective.
203
Strategies of Two-Level Green Technology Investments for Coal Supply Chain under Different Dominant Modes
TL;DR: In this paper, the authors consider a coal supply chain with a coal enterprise and a manufacturer, where the coal enterprise invests in clean coal technology, and the manufacturer invests in carbon reduction technology.
15
Coal-Electric Power Supply Chain Reduction and Operation Strategy under the Cap-and-Trade Model and Green Financial Background
TL;DR: Wang et al. as discussed by the authors used price regulation, the cap-and-trade model, and a green financial policy background to establish a strategy for the coal-electric power supply chain with two-level carbon reduction and operation with financial constraints.