EconPapers    
Economics at your fingertips  
 

Carbon Emission Effects of Land Use in Chaobai River Region of Beijing–Tianjin–Hebei, China

Caixia Liu, Rui Xu, Kaiji Xu, Yiwen Lin and Yingui Cao ()
Additional contact information
Caixia Liu: School of Land Science and Technology, China University of Geosciencs, Beijing 100083, China
Rui Xu: School of Land Science and Technology, China University of Geosciencs, Beijing 100083, China
Kaiji Xu: School of Land Science and Technology, China University of Geosciencs, Beijing 100083, China
Yiwen Lin: School of Land Science and Technology, China University of Geosciencs, Beijing 100083, China
Yingui Cao: School of Land Science and Technology, China University of Geosciencs, Beijing 100083, China

Land, 2023, vol. 12, issue 6, 1-23

Abstract: Beijing–Tianjin–Hebei, the main economic area in northern China, has seen significant changes in its regional economic and physical landscape as a result of the coordinated development strategy. Assessing the link between land use and land cover (LULC) change and carbon emissions in the Chaobai River region, which represents the growth of the Beijing–Tianjin–Hebei urban agglomeration, is crucial to achieve coordinated low-carbon development in this area. This study uses statistics from statistical yearbooks of Chinese provinces and cities along with land use change data to analyze the relationship between land use changes and carbon emissions in the Chaobai River region from 2001 to 2017 using dynamic land use attitudes and land use transfer matrices, combined with carbon emission factors based on the IPCC inventory method and carbon emission models for energy consumption. In addition, this study makes use of the LMDI model and geographical detectors to identify and assess the factors that influence changes in land use carbon emissions and the driving forces behind the regional differentiation of land use changes. The results show that: (1) The Chaobai River region’s predominant land use classes during the past 17 years have been agricultural land and construction land. In addition to the decrease in cropland and the increase in urban land, the land use patterns of other land classes also changed to a certain extent. (2) Carbon emissions from land use showed an increasing trend, from 6.1 × 10 6 tons in 2001 to 1.1 × 10 7 tons in 2017. (3) Carbon emission intensity, economic development level, land use efficiency, and construction land scale have a certain regularity in the evolution of carbon emissions, and economic development level has become the most important driving factor controlling the growth of land use carbon emissions. (4) Driving factors in different periods have different degrees of influence on land use change, among which socio-economic factors such as population density and GDP have the strongest explanatory power. In addition, the interactions of each factor mainly present a double factor enhancement. In the future, the Chaobai River region should be based on the coordinated development strategy and take the “double carbon” target as its guiding principle to promote the innovation of the regional development system and further achieve the optimization of the regional land use patterns.

Keywords: land use; carbon emission; LMDI; geographical detectors; the Chaobai River region (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/6/1168/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/6/1168/ (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:jlands:v:12:y:2023:i:6:p:1168-:d:1161654

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

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

 
Page updated 2025-03-19
Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1168-:d:1161654