新疆能源消费碳排放时空特征及能源结构调整路径探讨
收稿日期: 2023-12-26
修回日期: 2023-01-23
网络出版日期: 2024-04-01
基金资助
中国科学院新疆生态与地理研究所基础前沿项目(JCQY-X03)
Spatiotemporal characteristics of carbon emissions from energy consumption and the approach to energy structure adjustment in Xinjiang
Received date: 2023-12-26
Revised date: 2023-01-23
Online published: 2024-04-01
新疆作为我国重要的能源生产与供给基地,合理的协调经济发展与能源碳排放之间的关系,是实现其经济可持续发展与节能减排目标的重要前提。本文在整理新疆各类统计数据的基础上利用空间自相关对新疆2000—2020年能源消费碳排放的时空特征进行了测算和分析。结果表明:(1) 研究期间新疆能源消费碳排放总量呈现逐年增加的趋势,但碳排放强度整体上呈现下降趋势;(2) 碳排放强度的空间分布特征表现为:天山东坡碳排放强度较高,准噶尔北缘、天山北坡和昆仑山北坡则相对较低,并且具有明显的集聚特点;(3) 在全球变暖与碳减排的大背景下,新疆需要从区域资源禀赋特点入手,建立差异化的能源结构调整策略,通过构建多能互补的绿色能源网络,促进区域实现“双碳”目标和社会经济的高质量发展。
包佳玉 , 李祥龙 , 胡启文 , 李涛 . 新疆能源消费碳排放时空特征及能源结构调整路径探讨[J]. 干旱区研究, 2024 , 41(3) : 490 -498 . DOI: 10.13866/j.azr.2024.03.13
As an important energy production and supply base in China, Xinjiang plays a pivotal role in the delicate balance between economic development and carbon emissions. Ensuring a harmonious coordination between these factors is essential to achieve sustainable economic growth and meet goals related to energy conservation and emission reduction. This paper measures and analyzes the spatiotemporal characteristics of energy consumption carbon emissions in Xinjiang from 2000 to 2020 using spatial autocorrelation based on the data obtained from Xinjiang Statistical Yearbook. Results indicate that the total carbon emission intensity from energy consumption in Xinjiang shows an increasing trend every year during the study period. Nevertheless, the overall trend reveals a reduction in the intensity of carbon emissions. The spatial distribution of carbon emission intensity shows that the eastern slope of Tianshan Mountain has a high carbon emission intensity, whereas the northern edge of Junggar, the northern slope of Tianshan Mountain, and the northern slope of Kunlun Mountain has a low carbon emission intensity. These regions exhibit evident clustering characteristics. Considering global warming and carbon emission reduction, Xinjiang must work toward achieving the goals of “carbon peak” and “carbon neutrality” while promoting high-quality socioeconomic development in the area through the implementation of a multi-energy, complementary green energy network.
[1] | Rogelj J, Forster P M, Kriegler E, et al. Estimating and tracking the remaining carbon budget for stringent climate targets[J]. Nature, 2019, 571(7765): 335-342. |
[2] | 丁仲礼, 段晓男, 葛全胜, 等. 2050年大气CO2浓度控制: 各国排放权计算[J]. 中国科学: 地球科学, 2009, 39(8): 1009-1027. |
[Ding Zhongli, Duan Xiaonan, Ge Quansheng, et al. Control of atmospheric CO2 concentration by 2050: An allocation on the emission rights of different countries[J]. Scientia Sinica (Terrae), 2009, 39(8): 1009-1027.] | |
[3] | 刘燕华, 葛全胜, 何凡能, 等. 应对国际CO2减排压力的途径及我国减排潜力分析[J]. 地理学报, 2008, 63(7): 675-682. |
[Liu Yanhua, Ge Quansheng, He Fanneng, et al. Countermeasures against international pressure of reducing CO2 emissions and analysis on China’s potential of CO2 emission reduction[J]. Acta Geographica Sinica, 2008, 63(7): 675-682.] | |
[4] | 刘竹, 关大博, 魏伟. 中国二氧化碳排放数据核算[J]. 中国科学: 地球科学, 2018, 48(7): 878-887. |
[Liu Zhu, Guan Dabo, Wei Wei. Carbon emission accounting in China[J]. Scientia Sinica (Terrae), 2018, 48(7): 878-887.] | |
[5] | Yang Yuantao, Shen Qu, Cai Bofeng, et al. Mapping global carbon footprint in China[J]. Nature Communications, 2020, 11(1): 2237. |
[6] | Wang Yafei, Liao Meng, Wang Yafei, et al. The impact of foreign direct investment on China’s carbon emissions through energy intensity and emissions trading system[J]. Energy Economics, 2021, 97(5): 105212. |
[7] | Shan Yuli, Huang Qi, Guan Dabo, et al. China CO2 emission accounts 2016-2017[J]. Scientific Data, 2020, 7(54): 1-9. |
[8] | 刘卫东, 张雷, 王礼茂, 等. 我国低碳经济发展框架初步研究[J]. 地理研究, 2010, 29(5): 778-788. |
[Liu Weidong, Zhang Lei, Wang Limao, et al. A sketch map of low-carbon economic development in China[J]. Geographical Research, 2010, 29(5): 778-788.] | |
[9] | Chuai Xiaowei, Huang Xianjin, Wang Wanjing, et al. Spatial econometric analysis of carbon emissions from energy consumption in China[J]. Journal of Geographical Sciences, 2012, 22(4): 630-642. |
[10] | 曹俊文. 江西省产业部门碳排放特征及减排途径——基于1992—2007年投入产出分析[J]. 经济地理, 2011, 31(12): 2111-2115. |
[Cao Junwen. Characteristics of Jiangxi’s industrial sector carbon emissions intensity and carbon reduction approach——input-output analysis based on the 1992 to 2007[J]. Economic Geography, 2011, 31(12): 2111-2115.] | |
[11] | Xu Shichun, He Zhengxia, Long Ruyin, et al. Factors that influence carbon emissions due to energy consumption based on different stages and sectors in China[J]. Journal of Cleaner Production, 2016, 115: 139-148. |
[12] | 陶俊逸, 赵筱青, 陈彦君, 等. 云南省能源消费碳排放时空演变及其影响因素[J]. 环境科学与技术, 2023, 46(9): 178-187. |
[Tao Junyi, Zhao Xiaoqing, Chen Yanjun, et al. Spatial and temporal evolution of carbon dioxide emissions from energy consumption and influencing factors in Yunnan Province[J]. Environmental Science & Technology, 2023, 46(9): 178-187.] | |
[13] | 王青, 傅莉媛, 孙海添. 中国工业生产能源消费碳排放的区域差异、动态演进与影响因素[J]. 资源科学, 2023, 45(6): 1239-1254. |
[Wang Qing, Fu Liyuan, Sun Haitian. Regional differences, dynamic changes, and influencing factors of carbon emissions from industrial production energy consumption in China[J]. Resources Science, 2023, 45(6): 1239-1254.] | |
[14] | Le Thai-Ha, Le Ha-Chi, Taghizadeh-Hesary Farhad. Does financial inclusion impact CO2 emissions? Evidence from Asia[J]. Finance Research Letters, 2020, 34: 101451. |
[15] | 程叶青, 王哲野, 张守志. 中国能源消费碳排放强度及其影响因素的空间计量[J]. 地理学报, 2013, 68(10): 1418-1431. |
[Cheng Yeqing, Wang Zheye, Zhang Shouzhi. Spatial econometric analysis of carbon emission intensity and its driving factors from energy consumption in China[J]. Acta Geographica Sinica, 2013, 68(10): 1418-1431.] | |
[16] | 王少剑, 苏泳娴, 赵亚博. 中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素[J]. 地理学报, 2018, 73(3): 414-428. |
[Wang Shaojian, Su Yongxian, Zhao Yabo. Regional inequality, spatial spillover effects and influencing factors of China’s city-level energy-related carbon emissions[J]. Acta Geographica Sinica, 2018, 73(3): 414-428.] | |
[17] | 吕志超, 刘雁, 李佳茹, 等. 基于LMDI的河北省能源消费碳排放核算及因素分析[J]. 环境生态学, 2023, 5(4): 74-78. |
[Lv Zhichao, Liu Yan, Li Jiaru, et al. Calculation and factor analysis of energy consumption carbon emissions in Hebei Province based on LMDI[J]. Environmental Ecology, 2023, 5(4): 74-78.] | |
[18] | 杨振, 李泽浩. 中部地区碳排放测度及其驱动因素动态特征研究[J]. 生态经济, 2022, 38(5): 13-20. |
[Yang Zhen, Li Zehao. Research on the measurement of carbon emissions and dynamic characteristics of its driving factors in central regions of China[J]. Ecological Economy, 2022, 38(5): 13-20.] | |
[19] | 王长建, 汪菲, 张虹鸥, 等. 广东省能源消费的动态演变及其驱动机制研究[J]. 资源与产业, 2019, 21(5): 9-19. |
[Wang Changjian, Wang Fei, Zhang Hong’ou, et al. Dynamic evolution and its mechanism of energy consumption in Guangdong Province[J]. Resources & Industries, 2019, 21(5): 9-19.] | |
[20] | 宋府霖, 韩传峰, 滕敏敏. 长三角地区能源消费碳排放驱动因素分析及优化策略[J]. 生态经济, 2022, 38(4): 21-28. |
[Song Fulin, Han Chuanfeng, Teng Minmin. Analysis of driving factors and optimization strategies of energy consumption carbon emissions in the Yangtze river delta[J]. Ecological Economy, 2022, 38(4): 21-28.] | |
[21] | 杨清可, 王磊, 朱高立, 等. 中国城市碳排放强度的时空演变、动态跃迁及收敛趋势[J/OL]. 环境科学, 2023: 1-17. |
[Yang Qingke, Wang Lei, Zhu Gaoli, et al. Spatio-temporal evolution, dynamic transition, and convergence trend of urban carbon emission intensity in China[J/OL]. Environmental Science, 2023: 1-17.] | |
[22] | 王素凤, 洪剑涛, 李化夫. 中国城市能源消费碳排放影响因素的时空异质性[J/OL]. 世界地理研究, 2024: 1-14. |
[Wang Sufeng, Hong Jiantao, Li Huafu. Spatial and temporal heterogeneity of factors influencing carbon emissions from energy consumption in Chinese cities[J/OL]. World Regional Studies, 2024: 1-14.] | |
[23] | 杜宏茹, 李雪梅, 王长建. 新疆能矿资源型产业发展及其区域效应研究[J]. 干旱区研究, 2011, 28(2): 363-369. |
[Du Hongru, Li Xuemei, Wang Changjian. Study on development and regional effects of the energy and mineral resources sectors in Xinjiang[J]. Arid Zone Research, 2011, 28(2): 363-369.] | |
[24] | 宋香荣, 苏斌, 杨福德. 能源环境约束下新疆工业结构调整优化研究[J]. 新疆财经, 2013, 32(6): 51-56. |
[Song Xiangrong, Su Bin, Yang Fude. A study of industrial structural optimization on the constraints of energy and environment in Xinjiang[J]. Finance & Economics of Xinjiang, 2013, 32(6): 51-56.] | |
[25] | 胡方芳, 陈前利. 新疆碳排放峰值预测[J]. 区域治理, 2019, 3(42): 37-41. |
[Hu Fangfang, Chen Qianli. Prediction of peak carbon emission in Xinjiang[J]. Regional Governance, 2019, 3(42): 37-41.] | |
[26] | 高志刚, 李明蕊. 正式和非正式环境规制碳减排效应的时空异质性与协同性——对2007—2017年新疆14个地州市的实证分析[J]. 西部论坛, 2020, 30(6): 84-100. |
[Gao Zhigang, Li Mingrui. Spatial-temporal heterogeneity and synergy for the effect of formal and informal environmental regulation on carbon emission reduction: Empirical analysis of 14 prefectures of Xinjiang during 2007-2017[J]. West Forum, 2020, 30(6): 84-100.] | |
[27] | 夏婷婷, 南海明, 高岷, 等. 新能源耦合煤化工及综合性能源走廊探索——产业兴疆路径研究[J]. 煤化工, 2022, 50(4): 3-9. |
[Xia Tingting, Nan Haiming, Gao Min, et al. Exploration on new energy coupling with coal chemical industry and comprehensive energy corridor——Research on Xinjiang industry revitalization pathway[J]. Coal Chemical Industry, 2022, 50(4): 3-9.] | |
[28] | 王长建, 杜宏茹, 汪菲. 能源消费对新疆经济发展的影响机理[J]. 干旱区研究, 2014, 31(6): 1163-1169. |
[Wang Changjian, Du Hongru, Wang Fei. Mechanism of energy consumption on the regional development in Xinjiang from 1978 to 2010[J]. Arid Zone Research, 2014, 31(6): 1163-1169.] | |
[29] | 王少剑, 谢紫寒, 王泽宏. 中国县域碳排放的时空演变及影响因素[J]. 地理学报, 2021, 76(12): 3103-3118. |
[Wang Shaojian, Xie Zihan, Wang Zehong. The spatiotemporal pattern evolution and influencing factors of CO2 emissions at the county level of China[J]. Acta Geographica Sinica, 2021, 76(12): 3103-3118.] | |
[30] | Liu Xiaojie, Jin Xiaobin, Luo Xiuli, et al. Quantifying the spatiotemporal dynamics and impact factors of China’s county-level carbon emissions using ESTDA and spatial econometric models[J]. Journal of Cleaner Production, 2023, 410(7): 137203. |
[31] | 杨琳琳, 李波, 付奇. 基于BP神经网络模型的新疆水资源承载力情景分析[J]. 北京师范大学学报(自然科学版), 2016, 52(2): 216-222. |
[Yang Linlin, Li Bo, Fu Qi. Scenario analysis of water resources carrying capacity in Xinjiang based on BP neural network model[J]. Journal of Beijing Normal University (Natural Science), 2016, 52(2): 216-222.] | |
[32] | 柴强, 盛建东, 武红旗, 等. 新疆草地土壤厚度及与地形特征的相关性[J]. 中国草地学报, 2015, 37(5): 18-23. |
[Chai Qiang, Sheng Jiandong, Wu Hongqi, et al. Soil depth of grassland in Xinjiang and the correlations with terrain attributes[J]. Chinese Journal of Grassland, 2015, 37(5): 18-23.] | |
[33] | 强建华, 于浩. 新疆矿山环境遥感监测成果综述[J]. 中国地质调查, 2016, 3(5): 28-34. |
[Qiang Jianhua, Yu Hao. Review on remote sensing monitoring results of mine geological environment in Xinjiang[J]. Geological Survey of China, 2016, 3(5): 28-34.] | |
[34] | 郭森, 崔永军, 贾浩, 等. 新疆电力供需预测及电能消纳有效途径研究[J]. 中国电力, 2018, 51(5): 147-153. |
[Guo Sen, Cui Yongjun, Jia Hao, et al. Research on electricity supply and demand forecasting and efficient path of electricity consumption in Xinjiang[J]. Electric Power, 2018, 51(5): 147-153.] | |
[35] | 吕清刚, 柴祯. “双碳”目标下的化石能源高效清洁利用[J]. 中国科学院院刊, 2022, 37(4): 541-548. |
[Lv Qinggang, Chai Zhen. Highly efficient and clean utilization of fossil energy under carbon peak and neutrality targets[J]. Bulletin of Chinese Academy of Scences, 2022, 37(4): 541-548.] | |
[36] | 姚玉璧, 郑绍忠, 董宏昌, 等. 中国西北地区太阳辐射时空分异特征[J]. 干旱区研究, 2023, 40(6): 863-873. |
[Yao Yubi, Zheng Shaozhong, Dong Hongchang, et al. Anomaly temporal-spatial distribution of solar radiation in Northwest China[J]. Arid Zone Research, 2023, 40(6): 863-873.] | |
[37] | 孙若晨, 熊康宁, 郭应军, 等. 喀斯特地区太阳能资源评估研究进展[J]. 安徽农业科学, 2021, 49(9): 5-10, 27. |
[Sun Ruochen, Xiong Kangning, Guo Yingjun, et al. Research progress of solar energy resource evaluation in Karst areas[J]. Journal of Anhui Agricultural Sciences, 2021, 49(9): 5-10, 27.] | |
[38] | 顾玮, 古丽·加帕尔, 尹瀚民, 等. 新疆南疆地区太阳能资源时空分布特征及区划研究[J]. 干旱区地理, 2021, 44(6): 1665-1675. |
[Gu Wei, Guli Jiapaer, Yin Hanmin, et al. Spatial and temporal distribution characteristic and division research of solar energy resources in southern Xinjiang[J]. Arid Land Geography, 2021, 44(6): 1665-1675.] | |
[39] | Zhang Ning, Duan Huabo, Shan Yuli, et al. Booming solar energy is encroaching on cropland[J]. Nature Geoscience, 2023, 16(11): 932-934. |
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