The Impact of Land-Use Structure on Carbon Emission in China

Abstract

Research objectives: This paper discusses how to support the realization of carbon peak and carbon neutrality through the optimization of national spatial structures by establishing a relationship model between land-use structure and carbon emissions, and then provide theoretical and methodological support for the formulation of relevant policies and plans, as well as the evaluation of implementation effects. Research methods: grid analysis, GIS spatial analysis, double log linear regression model. Results: There is a strong correlation between the spatial structure of land and carbon emissions; the scale of construction land, especially industrial land, directly affects carbon emissions; if the area of construction land is doubled, CO2 emissions will increase by about 1.7 times. Conclusions: The potential of controlling carbon emission intensity through land structure at the urban level is great, and it is feasible to control carbon emission intensity through territorial spatial planning system. The control elements can be divided into the following levels: land supply control, land structure adjustment, land intensity constraint, and function adjustment of existing land.

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

“…Based on the environment of green development[ 125 ], this paper focuses more on the quantitative description of environmental indicators[ 126 ]. The main significance of this conclusion is to promote the green transformation of key industries[ 11 ], strictly implement the dual control of energy consumption, resolutely curb the blind development of “two high” projects, promote the solution of the bottleneck problem of realizing the value of ecological products, comprehensively promote the optimization and upgrading of industrial structure, promote the upgrading of industrial foundation and the rationalization of industrial distribution, and shape the new advantages of innovation-driven development under the background of China 's environmental policy adjustment and optimization of energy structure [ 90 ].…”

“…In the evaluation of land input [ 88 ], indicators such as built-up area of municipal districts, fixed asset investment, and electricity supply are used[ 89 ]. Land use input levels are measured based on land structure[ 90 ], labor[ 91 ], and resource aspects[ 92 ], while also examining the level of resource-intensive utilization in cities. In the evaluation of social benefits, indicators such as population density, per capita road area in municipal districts, and infrastructure convenience are used, focusing mainly on residential, transportation, and public space aspects to assess the comfort levels for people in the cities.…”

Contributing to Carbon Neutrality Targets: A Scenario Simulation and Pattern Optimization of Land Use in Shandong Province Based on the PLUS Model

“…Construct the GM(1,1) basic formula: b = X (0) (k) + az (1) (k) (10) where, a is the development coefficient; and b is the grey action quantity.…”

“…In order to achieve the goals of the carbon neutrality strategy and promote the development of low-carbon land use, scholars have conducted corresponding research focusing on the impact of LUCC on ecosystem carbon cycling and the analysis of driving factors [9][10][11]. Lai et al [12] utilized a LUCC dataset to enable the first assessment of how land management and LUCC changes in China affect ecosystem carbon stocks (ECS).…”

Study on the Influence of Land Use Change on Carbon Emissions Using System Modeling under the Framework of Dual Carbon Goals

“…Moreover, existing research has considered the question of the opportunity to use land-use management systems for achieving carbon neutrality. For example, H. Zhang et al have conducted a study on the topics of the relationships between land-use structure and carbon emissions in China [26]. The methodology developed by their group aimed to create a model of optimal national spatial structures, focusing on carbon peak and carbon neutrality.…”