greencredit: greencredit Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

greencredit Bayesian Network

Description

The coupling relationships and influence mechanisms of green credit and energy-environment-economy under China's goal of carbon neutrality.

Format

A discrete Bayesian network nvestigate the coupling relationships and influence mechanisms of green credit and 3E system. Probabilities were given within the referenced paper (missing distributions were set as uniform). The vertices are:

ECS

Energy consumption structure (High, Medium, Low);

EI

Energy intensity (High, Medium, Low);

EPI

Environment (High, Medium, Low);

GCI

Interest expense proportion (High, Medium, Low);

GDP

Economy sharing (High, Medium, Low);

IS

Green economy (High, Medium, Low);

OU

Economy opening up (High, Medium, Low);

PEC

Per capita energy consumption (High, Medium, Low);

TP

Economy innovation (High, Medium, Low);

UR

Economy coordination (High, Medium, Low);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Chai, J., Wang, Y., Hu, Y., Zhang, X., & Zhang, X. (2023). The Coupling Relationships and Influence Mechanisms of Green Credit and Energy-Environment-Economy Under China's Goal of Carbon Neutrality. Journal of Systems Science and Complexity, 36(1), 360-374.

bnRep documentation built on April 12, 2025, 1:13 a.m.