Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change
[Objective] The spatio-temporal changes and influencing factors of carbon emission at the county scale in Shaanxi Province from 2000 to 2020 were analyzed in order to provide a reference for ecological civilization construction and low-carbon sustainable development in Shaanxi Province. [Methods] So...
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Science Press
2022-10-01
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| Series: | Shuitu baochi tongbao |
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| Online Access: | http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220545 |
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| author | Cao Zhouliang Zhang Xinrong Yuan Xuefeng Chen Jinhong |
| author_facet | Cao Zhouliang Zhang Xinrong Yuan Xuefeng Chen Jinhong |
| author_sort | Cao Zhouliang |
| collection | DOAJ |
| description | [Objective] The spatio-temporal changes and influencing factors of carbon emission at the county scale in Shaanxi Province from 2000 to 2020 were analyzed in order to provide a reference for ecological civilization construction and low-carbon sustainable development in Shaanxi Province. [Methods] Socioeconomic and land use data were used to construct a carbon emission estimation model. The total carbon emission in Shaanxi Province was calculated and the spatiotemporal patterns and changes from 2000 to 2020 were analyzed. Subsequently. The influencing factors of carbon emissions were determined using the geographically weighted regression method. [Results] ① Total carbon emissions increased from 3.30×107 tons in 2000 to 1.93×108 tons in 2020. The evolution of carbon emission can be divided into two stages (substantial growth and slow growth). ② The carbon emission center gradually moved to the northeast from 2000 to 2020, and the spatial distribution range showed an expansion trend. The hot spots were mainly located in the northern counties of Yulin City, and around Xi'an and Xianyang City. The cold spots were mainly located in Foping County and Shiquan County. ③ Per capita GDP, land use degree, and per capita total social retail sales were positively correlated with carbon emissions, while industrial structure and population density were negatively correlated in 60.74% and 92.52% of counties, respectively. [Conclusion] Low-carbon development should be promoted in Shaanxi Province by formulating differentiated regional carbon emission reduction plans, optimizing the land use structure, controlling the expansion of construction land, and by enhancing public awareness of low-carbon environmental protection. |
| format | Article |
| id | doaj-art-1d8476494d0e4a1a965253db15b68e2a |
| institution | Kabale University |
| issn | 1000-288X |
| language | zho |
| publishDate | 2022-10-01 |
| publisher | Science Press |
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| series | Shuitu baochi tongbao |
| spelling | doaj-art-1d8476494d0e4a1a965253db15b68e2a2024-12-27T10:28:17ZzhoScience PressShuitu baochi tongbao1000-288X2022-10-0142537638510.13961/j.cnki.stbctb.2022.05.0451000-288X(2022)05-0376-10Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use ChangeCao Zhouliang0Zhang Xinrong1Yuan Xuefeng2Chen Jinhong3School of Land Engineering, Chang'an University, Xi'an, Shaanxi 710054, ChinaSchool of Earth Science and Resources, Chang'an University, Xi'an, Shaanxi 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an, Shaanxi 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an, Shaanxi 710054, China[Objective] The spatio-temporal changes and influencing factors of carbon emission at the county scale in Shaanxi Province from 2000 to 2020 were analyzed in order to provide a reference for ecological civilization construction and low-carbon sustainable development in Shaanxi Province. [Methods] Socioeconomic and land use data were used to construct a carbon emission estimation model. The total carbon emission in Shaanxi Province was calculated and the spatiotemporal patterns and changes from 2000 to 2020 were analyzed. Subsequently. The influencing factors of carbon emissions were determined using the geographically weighted regression method. [Results] ① Total carbon emissions increased from 3.30×107 tons in 2000 to 1.93×108 tons in 2020. The evolution of carbon emission can be divided into two stages (substantial growth and slow growth). ② The carbon emission center gradually moved to the northeast from 2000 to 2020, and the spatial distribution range showed an expansion trend. The hot spots were mainly located in the northern counties of Yulin City, and around Xi'an and Xianyang City. The cold spots were mainly located in Foping County and Shiquan County. ③ Per capita GDP, land use degree, and per capita total social retail sales were positively correlated with carbon emissions, while industrial structure and population density were negatively correlated in 60.74% and 92.52% of counties, respectively. [Conclusion] Low-carbon development should be promoted in Shaanxi Province by formulating differentiated regional carbon emission reduction plans, optimizing the land use structure, controlling the expansion of construction land, and by enhancing public awareness of low-carbon environmental protection.http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220545carbon emissionstandard deviational ellipseland usegeographical weighted regressionshaanxi province |
| spellingShingle | Cao Zhouliang Zhang Xinrong Yuan Xuefeng Chen Jinhong Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change Shuitu baochi tongbao carbon emission standard deviational ellipse land use geographical weighted regression shaanxi province |
| title | Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change |
| title_full | Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change |
| title_fullStr | Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change |
| title_full_unstemmed | Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change |
| title_short | Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change |
| title_sort | spatio temporal variation and influencing factors of co2 emission at county scale in shaanxi province based on land use change |
| topic | carbon emission standard deviational ellipse land use geographical weighted regression shaanxi province |
| url | http://stbctb.alljournal.com.cn/stbctben/article/abstract/20220545 |
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