← Search

Data · dataset · 2025

Modeling Green Reputation Decisions in a Nonlinear Cournot Duopoly

Listed in Teesside University Research Data Repository

This dataset accompanies the manuscript "Modeling green reputation decisions in a nonlinear Cournot duopoly of carbon emission abatement", conditionally accepted by Economic Modelling.

Description

The authors are Xiaoliang Li, Shuie Sun, and Ally Quan Zhang. It contains Python simulation scripts used to generate all numerical results and figures in the paper.

Each script corresponds to a specific figure and relies on a common simulation.py module that implements the nonlinear Cournot duopoly model with green reputation dynamics. Users can reproduce the results by executing the relevant scripts in a Python environment with standard numerical libraries (numpy, matplotlib). The README file included provides detailed instructions for replicating each figure.

Read the rest (1 more)

This dataset supports transparency, reproducibility, and further research in the area of environmental economics and nonlinear competition models.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/5njbrgzc2m.116 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:economics-financemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[method].local:method:simulationenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title