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ORIGINAL RESEARCH
Analysis of Factors Affecting Carbon
Emissions from Urban Land Use Based
on Improved LMDI Modeling
1
Northeastern University, Shenyang 110819, China
2
China Coal Technology and Engineering Group Shenyang Research Institute, Fushun 113122, China
3
State Key Laboratory of Coal Mine Safety Technology, Fushun 113122, China
Submission date: 2024-03-26
Final revision date: 2024-05-13
Acceptance date: 2024-06-12
Online publication date: 2024-09-06
Publication date: 2025-07-05
Pol. J. Environ. Stud. 2025;34(5):5057-5066
KEYWORDS
TOPICS
ABSTRACT
To understand the carbon emission influencing factors of urban land use, the study improves the Kaya
equation by analyzing the time-series characteristics of carbon emission from land use and combining
it with the improved logarithmic mean division index model to analyze the influencing factors. From
the results, the per capita and total carbon emissions from construction land in Shenyang city show an
increasing trend in the initial period, followed by a gradual decrease. From 2019 to 2022, the net carbon
emissions of Shenyang city decreased from 3165.79*104 tons to 2614.77*104 tons, showing a decreasing
trend in this time period. The emission intensity was ranked as construction land, forest land, arable
land, grassland, and water. The influencing factor analysis shows that the emission intensity per unit
of land has significant inhibitory effects on carbon emissions, with a total contribution of -769.64*104
tons, while GDP per capita and population size become the main factors driving carbon emissions.
This suggests that future environmental policies should focus on the transformation of economic
development modes and the control of population growth. The research method can effectively analyze
the impact of various influencing factors on carbon emissions.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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