Economics at your fingertips  

Rethinking the choice of carbon tax and carbon trading in China

Zhijie Jia and Boqiang Lin ()

Technological Forecasting and Social Change, 2020, vol. 159, issue C

Abstract: Carbon tax and carbon emission trading are used as emission reduction strategies. This paper re-analyzes the differences between the carbon tax and carbon trading by applying a recursive dynamic computable general equilibrium model, called the CEEEA (China Environmental-Energy-Economy Analysis) model. Unlike previous literature, we make the gross domestic product an exogenous variable and explore different effects between carbon tax mechanism and carbon trading mechanism on the environment, energy, and economy. Given a constant GDP effect, both carbon trading and carbon tax have strong emission reduction capacity, but the relative emission reduction efficiency of the carbon tax is higher than that of carbon trading. This advantage increases over time. Carbon trading has a certain negative effect on the output of the energy industry, and also on the output of other energy-intensive industries involving in carbon trading. After considering the various invisible costs of establishing a new carbon trading market, this paper recommends that China could directly levy a carbon tax on energy enterprises, or just increase the production tax on fossil fuels to reduce CO2 emissions effectively. In this way, the commodity market can be used for price incentives and thus, achieve the goal of emission reduction.

Keywords: Carbon tax; Carbon cap-and-trade; Emission trading scheme; Computable general equilibrium (cge) model; emission reduction (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.techfore.2020.120187

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2021-10-25
Handle: RePEc:eee:tefoso:v:159:y:2020:i:c:s0040162520310131