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Exploring the effect of emission trading system on marginal abatement cost-based on the frontier synthetic difference-in-differences model.

Authors :
Zhang, Haoran
Tan, Xiujie
Liu, Yu
He, Canfei
Source :
Journal of Environmental Management. Dec2023, Vol. 347, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Evaluating the cost-effectiveness of emission trading system (ETS) will explore how to control the total emission amount while minimizing the economic cost. Most related studies employ the difference-in-differences (DID) and multi-period DID models. However, this research highlights the superiority of construction technique and estimation results in the synthetic DID model, and applies it to a new scenario for evaluating the cost-effectiveness of China's pilot ETS. From the construction technique, the synthetic DID model synthesizes more desirable control groups and allows more flexibility in matching treatment units with extreme values by setting weight combinations and intercept terms. From the estimation results, the treatment effects are considered more reliable because ideally satisfy the parallel trend assumption. Specifically, the synthetic DID model indicated that the pilot ETS effectively reduced the marginal abatement cost (MAC) by 24.39%, whereas the traditional DID and multi-period DID models may have overestimated the policy effects by 98.48% and 71.09%. The main reason was the MAC has shown a downward trend before the policy implementation. Moreover, the estimation results of heterogeneity analysis and mechanism test in different models were also different. The synthetic DID model integrates the strengths of the DID model and synthetic control method (SCM), making a methodologically grounded contribution to the existing policy evaluation system. • The frontier synthetic DID model is applied in a new scenario. • Reveal the technical superiority and accurate results of the synthetic DID model. • The traditional DID and multi-period DID models may overestimate the policy effects. • The synthetic DID model integrates the strengths of the DID model and SCM method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03014797
Volume :
347
Database :
Academic Search Index
Journal :
Journal of Environmental Management
Publication Type :
Academic Journal
Accession number :
173234247
Full Text :
https://doi.org/10.1016/j.jenvman.2023.119155