低碳视角下云南省国土空间利用效率测度及综合分区
作者:
中图分类号:

K901

基金项目:

云南省西南联合研究生院科技专项(基础研究和应用基础研究重大项目)“滇中城市群国土空间多目标优化与高质量发展提升路径研究”(202302AO370007);云南省产教融合研究生联合培养基地项目(CZ22622203-2022-29);国家自然科学基金项目“滇池流域资源—环境演变及国土空间冲突调控研究”(42471320)


Measurement and Comprehensive Zoning of Land Space Utilization Efficiency in Yunnan Province from Low Carbon Perspective
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [29]
  • |
  • 相似文献 [16]
  • | | |
  • 文章评论
    摘要:

    [目的] 在碳中和背景下进行云南省国土空间利用效率测度及空间综合分区,为提出差异化国土空间低碳、高效发展策略提供科学参考。[方法] 利用2020年云南省16个州市单元面板数据,基于非期望超效率SBM模型测度低碳视角下的国土空间利用效率,并结合碳效益指数划分综合分区,提出各区优化建议。[结果] ①2020年云南省碳排放量为1.23×108 t,其中生产空间碳排放远大于生活空间,前者几乎是后者的31倍,碳吸收量为1.40×107 t,仅为碳排放量的1/10。②2020年云南省国土空间利用效率仅为0.628,呈现出滇中和滇西北较高,滇东、滇西南较低的空间分布格局;具体到各州市,仅西双版纳、迪庆和玉溪达到高效利用,效率最大值为1.430,而昭通市利用效率最低,仅为0.490。③基于国土空间利用效率与碳效益指数,最终形成低碳保持—高效率、碳汇功能—高效率、碳汇功能—中等效率、碳汇功能—低效率、碳强度控制—高效率、碳强度控制—中等效率和高碳优化—低效率7个综合分区,并提出各区差异化管治策略。[结论] 当前云南省碳吸收远不足以抵消碳排放,整体表现为碳源,国土空间利用仍较为粗放,利用效率还有很大提升潜力,国土空间利用效率分布具有明显的区域非均衡性,在制定国土空间低碳发展与高效利用策略时应予以重视。

    Abstract:

    [Objective] The measurement of land space use efficiency and comprehensive spatial zoning in Yunnan Province were studied, considering carbon neutrality, provide a reference for proposing differentiated low-carbon and high-efficiency land space development strategies. [Methods] Using 2020 panel data of 16 municipal units in Yunnan Province, the spatial utilization efficiency of the national territory under the low-carbon perspective were measured based on the non-expected output super-efficiency SBM model, and comprehensive zoning were performed considering the carbon efficiency index; subsequently, optimization suggestions for each zone are put forward. [Results] ① The carbon emission in Yunnan Province in 2020 was 1.23×108 tonnes, with production-space-related emissions accounting for a much larger proportion than living-space-related emissions: the former was almost 31 times as much as the latter. Further, carbon absorption was 1.40×107 tonnes, which is only one-tenth of the carbon emission. ② In 2020, the land space utilization efficiency of Yunnan Province was only 0.628, showing a spatial distribution pattern that is higher in central and northwestern Yunnan, and lower in eastern and southwestern Yunnan. Specifically, only Xishuangbanna, Diqing and Yuxi reached high efficiency utilization, with the maximum efficiency of 1.43, while Zhaotong had the lowest utilization efficiency of 0.49. ③ Based on the land space utilization efficiency and the carbon efficiency index, 7 comprehensive zones-Low carbon retention-High efficiency, Carbon sink function-High efficiency, Carbon sink function-Moderate efficiency, Carbon sink function-Low efficiency, Carbon intensity control-High efficiency, Carbon intensity control-Moderate efficiency, and High carbon optimization-Low efficiency-are derived, and a differentiated governance strategy for each zone is put forward. [Conclusion] At present, carbon absorption in Yunnan Province is far from enough to offset carbon emissions, and the overall performance is carbon source. The utilization of territorial space is still relatively extensive, and there is great potential to improve utilization efficiency. The distribution of territorial space utilization efficiency has obvious regional imbalance, and attention should be paid to the formulation of low-carbon development and efficient utilization strategies for territorial space.

    参考文献
    [1] Liu Yansui, Zhang Ziwen, Zhou Yang. Efficiency of construction land allocation in China: An econometric analysis of panel data [J]. Land Use Policy, 2018,74:261-272.
    [2] 盖兆雪,孙萍,张景奇.环境约束下的粮食主产区耕地利用效率时空演变特征[J].经济地理,2017,37(12):163-171. Gai Zhaoxue, Sun Ping, Zhang Jingqi. Cultivated land utilization efficiency and its difference with consideration of environmental constraints in major grain producing area [J]. Economic Geography, 2017,37(12):163-171.
    [3] 任宇飞,方创琳.京津冀城市群县域尺度生态效率评价及空间格局分析[J].地理科学进展,2017,36(1):87-98. Ren Yufei, Fang Chuanglin. Spatial pattern and evaluation of eco-efficiency in counties of the Beijing-Tianjin-Hebei Urban Agglomeration [J]. Progress in Geography, 2017,36(1):87-98.
    [4] 金贵,邓祥征,赵晓东,等.2005—2014年长江经济带城市土地利用效率时空格局特征[J].地理学报,2018,73(7):1242-1252. Jin Gui, Deng Xiangzheng, Zhao Xiaodong, et al. Spatio-temporal patterns of urban land use efficiency in the Yangtze River Economic Zone during 2005—2014[J]. Acta Geographica Sinica, 2018,73(7):1242-1252.
    [5] 梁流涛,雍雅君,袁晨光.城市土地绿色利用效率测度及其空间分异特征: 基于284个地级以上城市的实证研究[J].中国土地科学,2019,33(6): 80-87. Liang Liutao, Yong Yajun, Yuan Chenguang. Measurement of urban land green use efficiency and its spatial differentiation characteristics: An empirical study based on 284 cities [J]. China Land Science, 2019,33(6):80-87.
    [6] 侯孟阳,姚顺波.中国城市生态效率测定及其时空动态演变[J].中国人口·资源与环境,2018,28(3):13-21. Hou Mengyang, Yao Shunbo. Measurement and temporal-spatial dynamic evolution of urban eco-efficiency in China [J]. China Population, Resources and Environment, 2018,28(3):13-21.
    [7] 徐维祥,徐志雄,刘程军.黄河流域地级城市土地集约利用效率与生态福利绩效的耦合性分析[J].自然资源学报,2021,36(1): 114-130. Xu Weixiang, Xu Zhixiong, Liu Chengjun. Coupling analysis of land intensive use efficiency and ecological well-being performance of cities in the Yellow River basin [J]. Journal of Natural Resources, 2021,36(1):114-130.
    [8] 李永乐,舒帮荣,吴群.中国城市土地利用效率: 时空特征、地区差距与影响因素[J].经济地理,2014,34(1):133-139. Li Yongle, Shu Bangrong, Wu Qun. Urban land use efficency in China: Spatial and temporal characteristics, regional difference and influence factors [J]. Economic Geography, 2014,34(1):133-139.
    [9] 张雯熹,邹金浪,吴群.城市土地利用效率研究进展[J].长江流域资源与环境,2019,28(9):2030-2039. Zhang Wenxi, Zou Jinlang, Wu Qun. A literature study of urban land use efficiency [J]. Resources and Environment in the Yangtze Basin, 2019,28(9):2030-2039.
    [10] 王凤娟,魏晓,苏昌贵,等.我国国土空间规划分区研究热点及展望[J].经济地理,2022,42(2):84-92. Wang Fengjuan, Wei Xiao, Su Changgui, et al. Research hotspots and prospect of land spatial planning zoning in China [J]. Economic Geography, 2022,42(2):84-92.
    [11] 李缘缘,魏伟,周俊菊,等.中国土地利用碳排放变化及协调分区[J].环境科学,2023,44(3):1267-1276. Li Yuanyuan, Wei Wei, Zhou Junju, et al. Changes in land use carbon emissions and coordinated zoning in China [J]. Environmental Science, 2023,44(3):1267-1276.
    [12] 魏燕茹,陈松林.福建省土地利用碳排放空间关联性与碳平衡分区[J].生态学报,2021,41(14):5814-5824. Wei Yanru, Chen Songlin. Spatial correlation and carbon balance zoning of land use carbon emissions in Fujian Province [J]. Acta Ecologica Sinica, 2021,41(14):5814-5824.
    [13] 李璐,董捷,徐磊,等.功能区土地利用碳收支空间分异及碳补偿分区: 以武汉城市圈为例[J].自然资源学报,2019,34(5):1003-1015. Li Lu, Dong Jie, Xu Lei, et al. Spatial variation of land use carbon budget and carbon compensation zoning in functional areas: A case study of Wuhan Urban Agglomeration [J]. Journal of Natural Resources, 2019,34(5):1003-1015.
    [14] 朱明佳.云南省城市土地集约利用水平时空分异特征及影响因素研究[D].云南昆明:云南财经大学,2022. Zhu Mingjia. Spatial-temporal differentiation and influencing factors of urban land intensive use level in Yunnan Province [D]. Kunming, Yunnan: Yunnan University of Finance and Economics, 2022.
    [15] 田云,张俊飚,李波.中国农业碳排放研究: 测算、时空比较及脱钩效应[J].资源科学,2012,34(11):2097-2105. Tian Yun, Zhang Junbiao, Li Bo. Agricultural carbon emissions in China: Calculation,spatial-temporal comparison and decoupling effects [J]. Resources Science, 2012,34(11):2097-2105.
    [16] 李波,张俊飚,李海鹏.中国农业碳排放时空特征及影响因素分解[J].中国人口·资源与环境,2011,21(8):80-86. Li Bo, Zhang Junbiao, Li Haipeng. Research on spatial-temporal characteristics and affecting factors decomposition of agricultural carbon emission in China [J]. China Population, Resources and Environment, 2011,21(8):80-86.
    [17] 苑韶峰,唐奕钰.低碳视角下长江经济带土地利用碳排放的空间分异[J].经济地理,2019,39(2):190-198. Yuan Shaofeng, Tang Yiyu. Spatial differentiation of land use carbon emission in the Yangtze River economic belt based on low carbon perspective [J]. Economic Geography, 2019,39(2):190-198.
    [18] 匡耀求,欧阳婷萍,邹毅,等.广东省碳源碳汇现状评估及增加碳汇潜力分析[J].中国人口·资源与环境,2010,20(12):56-61. Kuang Yaoqiu, Ouyang Tingping, Zou Yi, et al. Present situation of carbon source and sink and potential for increase of carbon sink in Guangdong Province [J]. China Population, Resources and Environment, 2010,20(12):56-61.
    [19] 刘刚,沈镭.中国生物质能源的定量评价及其地理分布[J].自然资源学报,2007,22(1):9-19. Liu Gang, Shen Lei. Quantitive appraisal of biomass energy and its geographical distribution in China [J]. Journal of Natural Resources, 2007,22(1):9-19.
    [20] 鄂施璇,李琴,张露洋.三峡库区1980—2021年土地利用碳排放格局及碳补偿[J].水土保持通报,2023,43(1):300-306. E Shixuan, Li Qin, Zhang Luyang. Land use carbon emission pattern and carbon compensation in Three Gorges Reservoir area during 1980—2021[J]. Bulletin of Soil and Water Conservation, 2023,43(1):300-306.
    [21] 孙赫,梁红梅,常学礼,等.中国土地利用碳排放及其空间关联[J].经济地理,2015,35(3):154-162. Sun He, Liang Hongmei, Chang Xueli, et al. Land use patterns on carbon emission and spatial association in China [J]. Economic Geography, 2015,35(3):154-162.
    [22] 郭莉,白丽芳,王超越,等.基于“三生空间” 的重庆市碳排放增长机理及趋势预测[J].环境污染与防治,2022,44(6):816-823. Guo Li, Bai Lifang, Wang Chaoyue, et al. Growth mechanism and trend prediction of carbon emission in Chongqing based on production-living-ecological space [J]. Environmental Pollution & Control, 2022,44(6):816-823.
    [23] 范清瑶,夏卫生,莫成鑫,等.基于“三生空间” 的土地利用转型时空演变及其碳排放效应研究: 以福建省为例[J].生态环境学报,2023,32(12):2183-2193. Fan Qingyao, Xia Weisheng, Mo Chengxin, et al. Study on transition of land use function and its carbon emission effect repose based on the conception of “production, living and ecological space”: A case study of Fujian Province [J]. Ecology and Environmental Sciences, 2023,32(12):2183-2193.
    [24] 李志英,朱晓珊,杨丽,等.云南省土地利用碳排放时空演变特征及影响因素[J].水土保持通报,2023,43(5):297-303. Li Zhiying, Zhu Xiaoshan, Yang Li, et al. Spatial-temporal evolution characteristics and influencing factors of carbon emissions in Yunnan Province based on land use changes [J]. Bulletin of Soil and Water Conservation, 2023,43(5):297-303.
    [25] 朴世龙,何悦,王旭辉,等.中国陆地生态系统碳汇估算: 方法、进展、展望[J].中国科学: 地球科学,2022,52(6):1010-1020. Piao Shilong, He Yue, Wang Xuhui, et al. Carbon sequestration estimation of terrestrial ecosystem in China: Method, progress and prospect [J]. Scientia Sinica (Terrae), 2022,52(6):1010-1020.
    [26] 高威,李强,蒲雨池,等.中国生态用地碳汇时空演进及综合分区研究[J].生态环境学报,2023,32(9):1537-1551. Gao Wei, Li Qiang, Pu Yuchi, et al. Temporal-spatial evolution and comprehensive zoning of carbon absorption of ecological land in China [J]. Ecology and Environmental Sciences, 2023,32(9):1537-1551.
    [27] 温婷.云南省城市土地利用效率与土地生态安全耦合协调研究[D].云南昆明:云南财经大学,2023. Wen Ting. Research on coupling coordination between urban land use efficiency and land ecological security in Yunnan Province [D]. Kunming, Yunnan: Yunnan University of Finance and Economics, 2023.
    [28] 张正峰,张栋.基于社会网络分析的京津冀地区碳排放空间关联与碳平衡分区[J].中国环境科学,2023,43(4):2057-2068. Zhang Zhengfeng, Zhang Dong. Spatial relatedness of CO2 emission and carbon balance zoning in Beijing Tianjin Hebei Counties [J]. China Environmental Science, 2023,43(4):2057-2068.
    [29] 周嘉,王钰萱,刘学荣,等.基于土地利用变化的中国省域碳排放时空差异及碳补偿研究[J].地理科学,2019,39(12):1955-1961. Zhou Jia, Wang Yuxuan, Liu Xuerong, et al. Spatial temporal differences of carbon emissions and carbon compensation in China based on land use change [J]. Scientia Geographica Sinica, 2019,39(12):1955-1961.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

陶俊逸,叶显民,汪小宝,周玉琴,冉玉菊,熊波,董雯雯,赵筱青.低碳视角下云南省国土空间利用效率测度及综合分区[J].水土保持通报,2024,43(5):347-357

复制
分享
文章指标
  • 点击次数:34
  • 下载次数: 117
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2023-11-15
  • 最后修改日期:2024-05-26
  • 在线发布日期: 2024-11-02