Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region

Wei Feng; Wei Yanfei; Tong Xinhua

doi:10.13961/j.cnki.stbctb.2022.03.047

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Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region

- Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region
- Bulletin of Soiland Water Conservation Vol. 42, Issue 3, Pages: 381-389(2022)
- 作者机构：
  
  1. 南宁师范大学自然资源与测绘学院,广西,南宁,530001
  2. 南宁师范大学地理科学与规划学院,广西,南宁,530001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.03.047
  CLC： X32;F301.2
- Published：2022
- 稿件说明：
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Wei Feng, Wei Yanfei, Tong Xinhua. Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 381-389.
DOI：

Wei Feng, Wei Yanfei, Tong Xinhua. Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2022, 42(3): 381-389. DOI： 10.13961/j.cnki.stbctb.2022.03.047.

摘要

[目的] 揭示县域碳排放的时空格局演变及其驱动因素，为区域规划战略的实际应用和实现“双碳”目标提供科学依据。[方法] 基于广西壮族自治区东融发展片区2005，2010，2015，2020年碳排放数据，运用空间自相关分析测算各区域之间的碳排放时空异质性特征，并在构建指标体系的基础上，运用地理探测器计算碳排放时空演变的驱动因子。[结果] ①广西东融片区各县区碳排放量在空间上存在异质性。2005—2020年，该区碳排放量在空间上呈现“西南高，东北低”，经济发达的区县碳排放量增速快；②各区县碳排放量在总体上呈现稳步上涨的趋势。不同经济发展水平的区县间碳排放量差距逐渐拉大；③在碳排放时空分异驱动力分析方面，能源消费结构和城市经济密度的影响最强。[结论] 广西东融发展片区碳排放时空特征与人类活动密切相关，达成“双碳”目标必须以规范碳排放行为为前提。

Abstract

[Objective] The spatiotemporal evolution pattern and driving factors of carbon emissions at the county level were determined in order to provide a scientific basis for the practical application of a regional planning strategy that would meet the "dual carbon" goal.[Methods] Based on carbon emission data from the Dongrong development area in the Guangxi Zhuang Autonomous Region in 2005

2010

2015

and 2020

spatial autocorrelation analysis was used to calculate the spatio-temporal heterogeneity of carbon emissions among different regions. An index system was constructed

and geographic detectors were used to calculate the driving factors of the spatio-temporal evolution of carbon emissions.[Results] ① There was spatial heterogeneity in carbon emissions among the counties and districts in the Dongrong development area of the Eastern Guangxi Zhuang Autonomous Region. From 2005 to 2020

the carbon emissions in the space were characterized as being "high in the southwest and low in the northeast"

and the carbon emissions of the economically developed districts and counties grew rapidly; ② The carbon emissions of the districts and counties showed a steady upward trend in general. The carbon emissions gap between districts and counties with different economic development levels gradually widened; ③ An analysis on the driving forces of spatial and temporal differences of carbon emissions showed that the influence of energy consumption structure and urban economic density was the strongest.[Conclusion] The spatial and temporal characteristics of carbon emissions in the Dongrong development area of the Eastern Guangxi Zhuang Autonomous Region were closely related to human activities. In order to meet the "dual carbon" goal

carbon emissions will need to be regulated.

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references

张苗, 甘臣林, 陈银蓉, 等.中国城市建设用地开发强度的碳排放效率分析与低碳优化[J].资源科学, 2016, 38(2):265-275.

Liu Z, Guan D, Moore S, et al.Climate policy:Steps to China's carbon peak[J].Nature, 2015, 522(7556):279-281.

Paustian K, Ravindranath N H, Amstel A V.2006 IPCC guidelines for national greenhouse gas inventories, Japan[M].International Panel on Climate Change, 2006.

管亚梅, 束小雪.基于交易二阶段视角下的碳排放核算体系构建[J].会计之友, 2016(15):54-56.

丛建辉, 刘学敏, 赵雪如.城市碳排放核算的边界界定及其测度方法[J].中国人口·资源与环境, 2014, 24(4):19-26.

何艳秋, 倪方平, 钟秋波.中国碳排放统计核算体系基本框架的构建[J].统计与信息论坛, 2015, 30(10):30-36.

张雪华, 董会忠."2+26"城市碳排放时空演变特征及其驱动因素研究[J].资源开发与市场, 2021, 37(12):1448-1456.

韦沁, 曲建升, 白静, 等.我国农业碳排放的影响因素和南北区域差异分析[J].生态与农村环境学报, 2018, 34(4):318-325.

张迪, 王彤彤, 支金虎, 等.第二产业碳排放量生态经济及驱动因素分析:以甘肃省为例[J].西南农业学报, 2021, 34(8):1740-1750.

李治国, 王杰.中国城乡家庭碳排放核算及驱动因素分析[J].统计与决策, 2021, 37(20):48-52.

史思琪, 梁彦庆, 黄志英, 等.低碳理念下我国土地集约利用水平时空异质性及其障碍因子分析[J].湖南师范大学自然科学学报, 2020, 43(3):1-9.

杨欣, 谢向向.武汉市建设用地扩张与碳排放效应的库兹涅茨曲线分析[J].华中农业大学学报(社会科学版), 2020, 40(4):158-165.

潘海啸, 汤諹, 吴锦瑜, 等.中国"低碳城市"的空间规划策略[J].城市规划学刊, 2008, 52(6):57-64.

张友国, 白羽洁.区域差异化"双碳"目标的实现路径[J].改革, 2021, 34(11):1-18.

黄莹, 郭洪旭, 廖翠萍, 等.基于LEAP模型的城市交通低碳发展路径研究:以广州市为例[J].气候变化研究进展, 2019, 15(6):670-683.

李志伟, 赵志峰.生态文明视域下县域城镇低碳发展的创新思路[J].科学管理研究, 2018, 36(2):54-57.

刘佳骏, 史丹, 汪川.中国碳排放空间相关与空间溢出效应研究[J].自然资源学报, 2015, 30(8):1289-1303.

付建新, 曹广超, 郭文炯.1980-2018年祁连山南坡土地利用变化及其驱动力[J].应用生态学报, 2020, 31(8):2699-2709.

杨晴青, 刘倩, 尹莎, 等.秦巴山区乡村交通环境脆弱性及影响因素:以陕西省洛南县为例[J].地理学报, 2019, 74(6):1236-1251.

王劲峰, 徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72(1):116-134.

Tapio P.Towards a theory of decoupling:Degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001[J].Transport Policy, 2005, 12(2):137-151.

王睿, 张赫, 强文丽, 等.基于城镇化的中国县级城市碳排放空间分布特征及影响因素[J].地理科学进展, 2021, 40(12):1999-2010.

景海超, 刘颖慧, 贺佩, 等.青藏高原典型区生态系统服务空间异质性及其影响因素分析:以那曲市为例[J].生态学报, 2022, 42(7):2657-2673.

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