A Study of Carbon Emission Efficiency in Chinese Provinces Based on a Three-Stage SBM-Undesirable Model and an LSTM Model

Huayong Niu, Zhishuo Zhang, Yao Xiao, Manting Luo and Yumeng Chen
Additional contact information
Huayong Niu: International Business School, Beijing Foreign Studies University, Beijing 100089, China
Zhishuo Zhang: International Business School, Beijing Foreign Studies University, Beijing 100089, China
Yao Xiao: International Business School, Beijing Foreign Studies University, Beijing 100089, China
Manting Luo: International Business School, Beijing Foreign Studies University, Beijing 100089, China
Yumeng Chen: Liaoning Banking and Insurance Regulatory Bureau, Shenyang 110013, China

IJERPH, 2022, vol. 19, issue 9, 1-19

Abstract: As a major carbon-emitting country, there is an urgent need for China to reduce carbon emissions. Studying the carbon emission efficiency of each province helps us to learn about the characteristics and evolution of regional carbon emissions, which is important for proposing effective and targeted measures to achieve the carbon peaking and carbon neutrality goals. This paper measures the carbon emission efficiency of 30 Chinese provinces from 2006 to 2019 based on a three-stage SBM-undesirable model and explores external drivers using stochastic frontier models. The results of the SBM-undesirable model show that the inter-provincial carbon emission efficiency is unevenly distributed and shows a big difference. From the results of the stochastic frontier model analysis, external drivers such as the intensity of finance in environmental protection, the level of economic development, the industrial structure, the level of urbanization, the degree of openness and the level of science as well as technology innovation all have an impact on the emission efficiency. In terms of LSTM model prediction, the model shows an excellent fitting effect, which provides a possible path for carbon emission efficiency prediction. Finally, based on the empirical results and the actual situation of each province in China, this paper proposes relevant feasible suggestions.

Keywords: carbon emissions; carbon emission efficiency; three-stage DEA; SBM-undesirable; SFA model; LSTM model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/9/5395/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/9/5395/ (text/html)

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: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:9:p:5395-:d:804873

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().