Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Time varying characteristics of factors affecting carbon price in emission trading scheme in China

Evidence from SV-TVP-VAR approach

Bibliographic Data

ID22189016
AuthorsFang Hu (0000-0002-3725-2936, Guangxi University of Finance and Economics), Yubo Li (0000-0002-5469-1818, Guangxi University of Finance and Economics), Xianmei Wang (0000-0002-8752-0273, Guangxi University of Finance and Economics), David Lee Cook
Year2024
Volume8
Issue7
Pages3793
Publication date2024-07-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v8i7.3793
OpenAlexW4400740639
LanguageEN
References cited4

Analysis of the factors influencing the price of carbon emissions trading in China and its time-varying characteristics is essential for the smooth operation of the carbon trading system. We analyse the time-varying effects of public concern, degree of carbon regulation, crude oil price, international carbon price and interest rate level on China’s carbon price through SV-TVP-VAR model. Among them, the quantification of public concern and the degree of carbon emission regulation is based on microblog text and government decisions. The results show that all the factors influencing carbon price are significantly time-varying, with the shocks of each factor on carbon price rising before 2019 and turning significantly thereafter. The short-term shock effect of each factor is more significant compared to the medium- and long-term, and the effect almost disappears at a lag of six months. Thanks to public environmental awareness, low-carbon awareness and the progress of carbon market management mechanisms, public concern has had the most significant impact on carbon price since 2019. With the promulgation of relevant management measures for the carbon market, relevant regulations on carbon emission accounting, financing constraints, and carbon emission quota allocation for emission-controlled enterprises have become increasingly mature, and carbon price signals are more sensitive to market information. The above findings provide substantial empirical evidence for all stakeholders in the market, who need to recognize that the impact of non-structural factors on the price of carbon varies over time. Government intervention also serves as a key aspect of carbon emission control and requires the introduction of relevant constraints and incentives. In particular, emission-controlling firms need to focus on the policy direction of the carbon market, and focus on the impact of Internet public opinion on business production while reducing carbon allowance demand and energy dependence

Algorithm · Carbon fibers · China · Econometrics · Economics · Emissions trading · Geography · Greenhouse gas · Climate Change Policy and Economics · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Science · Mathematics · Geology

  • Time Varying Structural Vector Autoregressions and Monetary Policy

    Giorgio E Primiceri•The Review of Economic Studies•2005

  • Quantifying the impact of CEO social media celebrity status on firm value

    Open Access•Xin Bao, Baiqing Sun et al.•Technological Forecasting and…•2023

  • The Copenhagen Accord

    Open Access•M Den Elzen, Michel G J den Elzen et al.•Environmental Science & Policy•2010

  • Does internet public participation slow down environmental pollution

    Open Access•Wenqi Wu, Wenwen Wang et al.•Environmental Science & Policy•2022

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae