Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China

Under the threat of global climate change, China has proposed a dual carbon goal of peak carbon and carbon neutrality. As the vital carrier for territorial spatial planning, production–living–ecological (PLE) spaces drive carbon emissions and are important to the dual carbon goals. In this study, ca...

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Main Authors: Rong Guo, Xiaochen Wu, Tong Wu, Chao Dai
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/12/6/1153
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author Rong Guo
Xiaochen Wu
Tong Wu
Chao Dai
author_facet Rong Guo
Xiaochen Wu
Tong Wu
Chao Dai
author_sort Rong Guo
collection DOAJ
description Under the threat of global climate change, China has proposed a dual carbon goal of peak carbon and carbon neutrality. As the vital carrier for territorial spatial planning, production–living–ecological (PLE) spaces drive carbon emissions and are important to the dual carbon goals. In this study, carbon emissions and sinks of PLE spaces in cities in Heilongjiang Province from 2005 to 2020 were calculated and spatial–temporal changes were analyzed. The carbon emission structure was analyzed in segmentation sectors. The land use changes and socioeconomic factors on carbon emissions were analyzed, and emission reduction strategies were implemented. The results show the following: (1) Carbon emissions from production and living spaces increased yearly. Carbon sinks were smaller than emissions, but capacity was stable. (2) Higher-emission cities were concentrated in southwest Heilongjiang, and carbon emission differences between regions gradually increased. (3) Among carbon emission sectors, agricultural and household made up smaller proportions, while animal husbandry, industrial, transportation, and traffic travel contributed most. Carbon emission structures were transformed by adjusting urban development and industrial structure. (4) For most cities, industrial space was the main emission space, but agricultural production and urban–rural living spaces dominated in some cities. (5) GDP, urbanization rate, and area of city paved roads suppressed emissions in cities with decreased carbon emission grades. The industrial structure and coal consumption inhibited emissions in cities with maintaining and increasing carbon emissions grades.
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spelling doaj.art-6b746cdc2ae14734b843fd812c03bf592023-11-18T11:13:31ZengMDPI AGLand2073-445X2023-05-01126115310.3390/land12061153Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, ChinaRong Guo0Xiaochen Wu1Tong Wu2Chao Dai3School of Architecture, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Architecture, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Architecture, Harbin Institute of Technology, Harbin 150006, ChinaSchool of Architecture, Harbin Institute of Technology, Harbin 150006, ChinaUnder the threat of global climate change, China has proposed a dual carbon goal of peak carbon and carbon neutrality. As the vital carrier for territorial spatial planning, production–living–ecological (PLE) spaces drive carbon emissions and are important to the dual carbon goals. In this study, carbon emissions and sinks of PLE spaces in cities in Heilongjiang Province from 2005 to 2020 were calculated and spatial–temporal changes were analyzed. The carbon emission structure was analyzed in segmentation sectors. The land use changes and socioeconomic factors on carbon emissions were analyzed, and emission reduction strategies were implemented. The results show the following: (1) Carbon emissions from production and living spaces increased yearly. Carbon sinks were smaller than emissions, but capacity was stable. (2) Higher-emission cities were concentrated in southwest Heilongjiang, and carbon emission differences between regions gradually increased. (3) Among carbon emission sectors, agricultural and household made up smaller proportions, while animal husbandry, industrial, transportation, and traffic travel contributed most. Carbon emission structures were transformed by adjusting urban development and industrial structure. (4) For most cities, industrial space was the main emission space, but agricultural production and urban–rural living spaces dominated in some cities. (5) GDP, urbanization rate, and area of city paved roads suppressed emissions in cities with decreased carbon emission grades. The industrial structure and coal consumption inhibited emissions in cities with maintaining and increasing carbon emissions grades.https://www.mdpi.com/2073-445X/12/6/1153carbon emissionsproduction–living–ecological spacespatial–temporal patternimpact factorsChina
spellingShingle Rong Guo
Xiaochen Wu
Tong Wu
Chao Dai
Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
Land
carbon emissions
production–living–ecological space
spatial–temporal pattern
impact factors
China
title Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
title_full Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
title_fullStr Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
title_full_unstemmed Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
title_short Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China
title_sort spatial temporal pattern characteristics and impact factors of carbon emissions in production living ecological spaces in heilongjiang province china
topic carbon emissions
production–living–ecological space
spatial–temporal pattern
impact factors
China
url https://www.mdpi.com/2073-445X/12/6/1153
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AT tongwu spatialtemporalpatterncharacteristicsandimpactfactorsofcarbonemissionsinproductionlivingecologicalspacesinheilongjiangprovincechina
AT chaodai spatialtemporalpatterncharacteristicsandimpactfactorsofcarbonemissionsinproductionlivingecologicalspacesinheilongjiangprovincechina