Next Article in Journal
Food and Gastronomy for Sustainable Place Development: A Multidisciplinary Analysis of Different Theoretical Approaches
Next Article in Special Issue
Progress and Prospects for Tourism Footprint Research
Previous Article in Journal
Sustainable Scheduling of Cloth Production Processes by Multi-Objective Genetic Algorithm with Tabu-Enhanced Local Search
Previous Article in Special Issue
Assessing the Effect of Eco-City Practices on Urban Sustainability Using an Extended Ecological Footprint Model: A Case Study in Xi’an, China
Open AccessArticle

Carbon Reduction Strategies Based on an NW Small-World Network with a Progressive Carbon Tax

School of Economics and Management, Southeast University, No. 2 Southeast University Road, Nanjing 211189, China
*
Author to whom correspondence should be addressed.
Sustainability 2017, 9(10), 1747; https://doi.org/10.3390/su9101747
Received: 14 August 2017 / Revised: 22 September 2017 / Accepted: 26 September 2017 / Published: 28 September 2017
(This article belongs to the Special Issue Carbon Footprint: As an Environmental Sustainability Indicator)
There is an increasingly urgent need to reduce carbon emissions. Devising effective carbon tax policies has become an important research topic. It is necessary to explore carbon reduction strategies based on the design of carbon tax elements. In this study, we explore the effect of a progressive carbon tax policy on carbon emission reductions using the logical deduction method. We apply experience-weighted attraction learning theory to construct an evolutionary game model for enterprises with different levels of energy consumption in an NW small-world network, and study their strategy choices when faced with a progressive carbon tax policy. The findings suggest that enterprises that adopt other energy consumption strategies gradually transform to a low energy consumption strategy, and that this trend eventually spreads to the entire system. With other conditions unchanged, the rate at which enterprises change to a low energy consumption strategy becomes faster as the discount coefficient, the network externality, and the expected adjustment factor increase. Conversely, the rate of change slows as the cost of converting to a low energy consumption strategy increases. View Full-Text
Keywords: progressive carbon tax; NW small-world network; evolutionary game; experience-weighted attraction (EWA) progressive carbon tax; NW small-world network; evolutionary game; experience-weighted attraction (EWA)
Show Figures

Figure 1

MDPI and ACS Style

Wu, B.; Huang, W.; Liu, P. Carbon Reduction Strategies Based on an NW Small-World Network with a Progressive Carbon Tax. Sustainability 2017, 9, 1747.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop