2022
DOI: 10.3390/en15124279
|View full text |Cite
|
Sign up to set email alerts
|

CO2 Emissions in China: Does the Energy Rebound Matter?

Abstract: Enhancing energy efficiency is globally regarded as an effective way to reduce carbon emissions. In recent years, the energy efficiency of China has gradually improved; however, energy consumption and CO2 emissions are still increasing. To better understand the reasons for this, we evaluated the energy rebound effect (RE) of 30 provinces in China over the period 2001–2017 by employing stochastic frontier analysis (SFA) and the system generalized method of moments (system-GMM) approach, and explored the extent … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 7 publications
(5 citation statements)
references
References 70 publications
0
1
0
Order By: Relevance
“…Greenhouse gas emissions and the relationship between the level of emissions and the economic development of countries have been studied by many authors. As most studies indicate, highly developed countries significantly contribute to the emissions of harmful pollutants [19,24,25,55,[73][74][75]. As emphasized by Janiszewska and Ossowska [56] and Matyka [76], countries with a high level of agricultural potential, characterized, inter alia, by high land productivity and a favorable agrarian structure, are distinguished by a stronger pressure on the environment.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Greenhouse gas emissions and the relationship between the level of emissions and the economic development of countries have been studied by many authors. As most studies indicate, highly developed countries significantly contribute to the emissions of harmful pollutants [19,24,25,55,[73][74][75]. As emphasized by Janiszewska and Ossowska [56] and Matyka [76], countries with a high level of agricultural potential, characterized, inter alia, by high land productivity and a favorable agrarian structure, are distinguished by a stronger pressure on the environment.…”
Section: Discussionmentioning
confidence: 99%
“…As much as 80% of CO 2 emissions come from burning fossil fuels. In 2017, the estimated annual emission of CO2 from fossil fuels in the world was 36 gigatons of coal (Gt CO 2 ), and the biggest contributors were China, the USA, India, and the EU [19]. According to the ESOTC [2], the annual increase in atmospheric concentrations of carbon dioxide (CO 2 ) amounts to about 0.6%/year.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, in the context of a low-carbon economy, the carbon emission performance has become an important indicator for both local governments and enterprises (Ferrat, 2021). Thus, there exists a competition effect among different regions to enhance their carbon emission performance (Abudureheman et al, 2022a). To be specific, improvements in the carbon emission performance of enterprises in neighboring cities may reduce the competitive advantages of enterprises in the local region, thus prompting local enterprises in the region to strengthen their carbon emission performance by taking effective measures, such as increasing energy-saving R&D investments, so as to improve their overall carbon emission performance.…”
Section: Spatial Effect Analysismentioning
confidence: 99%
“…Furthermore, the decomposition of TFP growth in these studies accounts for only two aspects: technological progress and efficiency changes. However, in a transition economy such as China's, due to the imperfection of the factor market, the industrial sector has much more room to improve productivity through factor reallocation and scale adjustment than in mature economies [44,45]. Therefore, it is necessary to take factor allocation and scale adjustment effect into account when analyzing the sources of TFP changes.…”
Section: Total Factor Productivity Measurementmentioning
confidence: 99%