|本期目录/Table of Contents|

[1]刘珊珊,吴文婕*,王志强.基于DPSIR-TOPSIS模型的乌鲁木齐市绿色发展水平测度及其影响因素[J].地球科学与环境学报,2023,45(04):857-868.
 LIU Shan-shan,WU Wen-jie*,WANG Zhi-qiang.Calculation on Green Development Level of Urumqi in Xinjiang, China Based on DPSIR-TOPSIS Model and Its Influencing Factors[J].Journal of Earth Sciences and Environment,2023,45(04):857-868.
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第45卷
期数:
2023年第04期
页码:
857-868
栏目:
环境与可持续发展专刊
出版日期:
2023-07-15

文章信息/Info

Title:
Calculation on Green Development Level of Urumqi in Xinjiang, China Based on DPSIR-TOPSIS Model and Its Influencing Factors
文章编号:
1672-6561(2023)04-0857-12
作者:
刘珊珊吴文婕*王志强
(新疆农业大学 公共管理学院,新疆 乌鲁木齐 830052)
Author(s):
LIU Shan-shan WU Wen-jie* WANG Zhi-qiang
(School of Public Administration, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China)
关键词:
绿色发展 绿色转型 DPSIR-TOPSIS模型 障碍度模型 测度 影响因素 绿洲城市 新疆
Keywords:
green development green transformation DPSIR-TOPSIS model obstacle model calculation influence factor oasis city Xinjiang
分类号:
X24
DOI:
-
文献标志码:
A
摘要:
城市绿色发展是实现高质量发展的内在要求。科学评价城市绿色发展水平、准确识别绿色发展影响因素是促进城市绿色转型与“资源-环境-经济”协调发展的关键性命题。从社会经济发展、资源禀赋与消耗、环境压力与治理、公众生活与社会状态、技术创新与政策等方面综合构建城市绿色发展水平测度指标体系,结合DPSIR-TOPSIS模型与障碍度模型分析测算乌鲁木齐市2007~2021年绿色发展水平动态变化,识别影响城市绿色发展的限制性因素。结果表明:①乌鲁木齐市2007~2021年绿色发展状况不断改善,发展水平呈显著上升态势,绿色发展已见成效; ②城市绿色发展水平的驱动力、状态、影响、响应指数均呈上升趋势,增幅差异显著,压力指数则呈小幅下降趋势; 绿色发展政策措施响应积极,但资源环境压力制约仍然存在; ③2007~2013年影响乌鲁木齐市绿色发展的主要因素为人均城市道路面积、恩格尔系数、城镇居民可支配收入、第三产业占GDP的比重,2014~2021年主要因素为GDP增长率、单位GDP电耗、人口自然增长率、全年供水总量。综上所述,针对乌鲁木齐市“资源富集、产业聚集、生态脆弱”的特点,建议加快绿色低碳转型、推动绿色技术创新、倡导绿色消费、实时调整绿色发展思路等。
Abstract:
Urban green development is the inherent requirement for achieving high-quality development. Scientific evaluation of urban green development level and accurate identification of influencing factors of green development are key scientific issue to promote urban green economy transformation and the coordinated development of “resource-environment-economy”. The urban green development level measurement index system was comprehensively constructed from the aspects of social and economic development, resource endowment and consumption, environmental pressure and governance, public life and social status, technological innovation and policy, etc.; and then the DPSIR-TOPSIS model and obstacle model were combined to analyze the dynamic changes of green development levels of Urumqi in Xinjiang from 2007 to 2021, and the restricted factors that affect the green development were identified. The results show that ① the green development status of Urumqi has continued to improve from 2007 to 2021, its levels keep on significantly rising and green development gets some effective achievements. ② The driving force, state, impact and response indexes of green development are on the rise, and the difference in growth rates seems significant, while the pressure index takes on a slight decline; green development policies and measures have responded positively, but the pressure on resources and environment still exists. ③ The main factors affecting green development of Urumqi are not the same during different periods. From 2007 to 2013, the urban road area, Engel coefficient, the disposable income of urban residents, and the proportion of tertiary industries are the main factors; but from 2014 to 2021, GDP growth rate, unit GDP power consumption, natural population growth rate, and total annual water supply factors are the main factors. In summary, taking consideration of the characteristics of “resources rich, industrial agglomeration, and ecological fragility” in Urumqi, some suggestions such as accelerating green low-carbon transformation, promoting green technology innovation, advocating green consumption, and real-time adjustment of green development ideas are put forward.

参考文献/References:

[1] 王晓红,张少鹏,李宣廷.创新型城市建设对城市绿色发展的影响研究[J].科研管理,2022,43(8):1-9.
WANG Xiao-hong,ZHANG Shao-peng,LI Xuan-ting.Research on the Impact of Innovative City Construction on the Green Development of Cities[J].Science Research Management,2022,43(8):1-9.
[2] 窦睿音,焦贝贝,张文洁,等.西部资源型城市绿色发展效率时空分异与驱动力[J].自然资源学报,2023,38(1):238-254.
DOU Rui-yin,JIAO Bei-bei,ZHANG Wen-jie,et al.Research on Spatiotemporal Heterogeneity and Driving Forces of Green Development Efficiency in Resource-based Cities of Western China[J].Journal of Natural Resources,2023,38(1):238-254.
[3] 陈 飞,李永贺,于艺婷,等.资源消耗对城市绿色发展水平的影响机制分析:以上海为例[J].软科学,2023,37(4):136-144.
CHEN Fei,LI Yong-he,YU Yi-ting,et al.The Effects and Mechanism of Resource Consumptionon the Level of Urban Green Development:A Case Study of Shang-hai[J].Soft Science,2023,37(4):136-144.
[4] NOROUZI N,FANI M,TALEBI S.Green Tax as a Path to Greener Economy:A Game Theory Approach on Energy and Final Goods in Iran[J].Renewable and Sustainable Energy Reviews,2022,156:111968.
[5] REN S M,LI L Q,HAN Y Q,et al.The Emerging Driving Force of Inclusive Green Growth:Does Digital Economy Agglomeration Work?[J].Business Strategy and the Environment,2022,31(4):1656-1678.
[6] 赵 萱,魏晓博.数字经济赋能区域绿色发展的效应与机制研究:基于技术创新和产业升级的中介效应[J].西南大学学报(自然科学版),2023,45(8):21-30.
ZHAO Xuan,WEI Xiao-bo.Effect and Mechanism of Digital Economy Empowering Regional Green Deve-lopment:Based on the Mesomeric Effect of Technological Innovation and Industrial Upgrading[J].Journal of Southwest University(Natural Science Edition),2023,45(8):21-30.
[7] PEARCE D W,MARKANDYA A,BARBIER E B.Blueprint for a Green Economy[M].London:Earthscan Publications Ltd.,1989.
[8] 胡鞍钢,周绍杰.绿色发展:功能界定、机制分析与发展战略[J].中国人口·资源与环境,2014,24(1):14-20.
HU An-gang,ZHOU Shao-jie.Green Development:Functional Definition,Mechanism Analysis and Development Strategy[J].China Population,Resources and Environment,2014,24(1):14-20.
[9] MIKETA A,MULDER P.Energy Productivity Acro-ss Developed and Developing Countries in 10 Manufacturing Sectors:Patterns of Growth and Convergence[J].Energy Economics,2005,27(3):429-453.
[10] LIU X Q,WANG X,LU F Y,et al.Evaluation of the Governance Efficiency of Water Environmental Gove-rnance Efficiency in Yangtze River Delta from the Perspective of Multivariate Synergies[J].International Journal of Environmental Research and Public Health,2022,19(4):2347.
[11] SUEYOSHI T.Damages to Return with a Possible Occurrence of Eco-technology Innovation Measured by DEA Environmental Assessment[J].Journal of Economic Structures,2017,6(1):7.
[12] SUN Y H,DING W W,YANG Z Y,et al.Measuring China's Regional Inclusive Green Growth[J].Science of the Total Environment,2020,713:136367.
[13] DING Y H,HAN Y.Low Carbon Economy Assessment in China Using the Super-SBM Model[J].Discrete Dynamics in Nature and Society,2022,2022:4690140.
[14] ZHAO X,MAHENDRU M,MA X W,et al.Impacts of Environmental Regulations on Green Economic Growth in China:New Guidelines Regarding Renewable Energy and Energy Efficiency[J].Renewable Energy,2022,187:728-742.
[15] ZHANG J X,CHANG Y,ZHANG L X,et al.Do Te-chnological Innovations Promote Urban Green Deve-lopment?—A Spatial Econometric Analysis of 105 Cities in China[J].Journal of Cleaner Production,2018,182:395-403.
[16] 翁异静,卓莹莹,黄扬飞.长江经济带城市群绿色发展空间分布及障碍因子分析[J].林业经济,2022,44(3):37-49.
WENG Yi-jing,ZHUO Ying-ying,HUANG Yang-fei.Spatial Distribution and Obstacle Factor Analysis of Green Development of Urban Agglomeration in the Yangtze River Economic Belt[J].Forestry Econo-mics,2022,44(3):37-49.
[17] 刘宇峰,原志华,郭玲霞,等.陕西省城市绿色增长水平时空演变特征及影响因素解析[J].自然资源学报,2022,37(1):200-220.
LIU Yu-feng,YUAN Zhi-hua,GUO Ling-xia,et al.Spatio-temporal Characteristics of Urban Green Growth Level and Its Influencing Factors in Shaanxi Province[J].Journal of Natural Resources,2022,37(1):200-220.
[18] 秦炳涛,柳佳男.长三角绿色发展效率时空演变及空间溢出分析:基于Super-SBM模型和Tobit回归[J].生态经济,2022,38(11):64-71.
QIN Bing-tao,LIU Jia-nan.Analysis on Spatial and Temporal Evolution and Spatial Spillover of Green Development Efficiency in the Yangtze River Delta:Based on Super-SBM Model and Tobit Regression[J].Ecological Economy,2022,38(11):64-71.
[19] 鹿晨昱,黄 萍,张 彤,等.甘肃省绿色发展效率时空演化与驱动因素研究[J].干旱区地理,2023,46(2):305-315.
LU Chen-yu,HUANG Ping,ZHANG Tong,et al.Spatiotemporal Evolution and Driving Factors of the Green Development Efficiency in Gansu Province[J].Arid Land Geography,2023,46(2):305-315.
[20] 刘浩然.京津冀地区绿色经济效率测度及影响因素研究:基于超效率SBM和Tobit模型的分析[J].生态经济,2023,39(4):67-73.
LIU Hao-ran.Study on the Measurement and Influencing Factors of Green Economic Efficiency in Beijing-Tianjin-Hebei Region:An Analysis Based on Ultra-efficient SBM and Tobit Models[J].Ecological Economy,2023,39(4):67-73.
[21] 邹 磊,刘慧媛,王飞宇,等.长江中游城市群绿色发展水平的地区差异及其影响因素[J].中国科学:地球科学,2022,52(8):1462-1475.
ZOU Lei,LIU Hui-yuan,WANG Fei-yu,et al.Regional Difference and Influencing Factors of the Green Development Level in the Urban Agglomeration in the Middle Reaches of the Yangtze River[J].Science China:Earth Sciences,2022,52(8):1462-1475.
[22] 王 钰,王小梅.兰西城市群开发区的绿色发展水平及限制因素分析[J].地域研究与开发,2021,40(4):32-38.
WANG Yu,WANG Xiao-mei.Analysis on Green Development Level and Restricting Factors of Lanzhou-Xining Urban Agglomeration Development Zone[J].Areal Research and Development,2021,40(4):32-38.
[23] 翁异静,汪夏彤,陈思静.浙江三大城市群绿色发展效率时空分异及影响机理[J].应用生态学报,2022,33(2):509-516.
WENG Yi-jing,WANG Xia-tong,CHEN Si-jing.Spatial-temporal Differentiation and Influencing Mechanism of Green Development Efficiency in Three Major Urban Agglomerations in Zhejiang Province,China[J].Chinese Journal of Applied Ecology,2022,33(2):509-516.
[24] 任嘉敏,马延吉.地理学视角下绿色发展研究进展与展望[J].地理科学进展,2020,39(7):1196-1209.
REN Jia-min,MA Yan-ji.Research Progress and Pro-spects of Green Development from the Perspective of Geography[J].Progress in Geography,2020,39(7):1196-1209.
[25] 盛方富,李志萌.绿色长江经济带生态环保协同合作研究进展与展望[J].生态经济,2021,37(8):182-187.
SHENG Fang-fu,LI Zhi-meng.Research Progress and Prospect of Ecological and Environmental Coope-ration in the Green Yangtze River Economic Zone[J].Ecological Economy,2021,37(8):182-187.
[26] 郭嘉嘉,李占斌,李 鹏,等.基于DPSIR模型的陕西省水安全评价及障碍因子诊断[J].水土保持研究,2023,30(2):149-155.
GUO Jia-jia,LI Zhan-bin,LI Peng,et al.Evaluation of Water Security and Obstacle Factor Diagnosis of Shaanxi Province Based on DPSIR Model[J].Resear-ch of Soil and Water Conservation,2023,30(2):149-155.
[27] 金 丹,董 晓.基于DPSIR模型的城市绿色交通发展评价研究[J].生态经济,2018,34(5):79-85.
JIN Dan,DONG Xiao.Research on Evaluation of Urban Green Transportation Development Based on DPSIR Model[J].Ecological Economy,2018,34(5):79-85.
[28] 李 帆,贾 夏,赵永华,等.基于DPSIR模型的黄土高原生态敏感性演变格局及驱动力分析[J].农业工程学报,2023,39(9):241-251,303.
LI Fan,JIA Xia,ZHAO Yong-hua,et al.Evolutionary Patten and Driving Forces of Ecological Sensitivity in the Loess Plateau Using DPSIR Model[J].Transactions of the Chinese Society of Agricultural Engineering,2023,39(9):241-251,303.
[29] 蒋忙舟,杨 志,张晓明,等.基于DPSIR模型的西北五省区水安全评价[J].地球科学与环境学报,2022,44(3):535-544.
JIANG Mang-zhou,YANG Zhi,ZHANG Xiao-ming,et al.Asessment of Water Security in Shaanxi,Gansu,Ningxia,Qinghai and Xinjiang,Northwest China Based on DPSIR Model[J].Journal of Earth Sciences and Environment,2022,44(3):535-544.
[30] 解 蕾,姚 扬,但智钢,等.基于DPSIR模型的省域绿色发展绩效评价[J].环境工程技术学报,2022,12(5):1681-1686.
XIE Lei,YAO Yang,DAN Zhi-gang,et al.Evaluation of Provincial Green Development Performance Based on DPSIR Model[J].Journal of Environmental Engineering Technology,2022,12(5):1681-1686.
[31] 戴铁军,李 蕊.北京市绿色发展要素协同效应研究[J].安全与环境学报,2023,23(4):1305-1316.
DAI Tie-jun,LI Rui.Research on Synergistic Effects of Green Development Elements in Beijing[J].Journal of Safety and Environment,2023,23(4):1305-1316.
[32] 李 婷.京津冀城市群生态环境可持续发展的政策评价:基于DPSIR-TOPSIS模型[J].生态经济,2022,38(5):107-113.
LI Ting.Policy Evaluation of Sustainable Development of Eco-environment in Beijing-Tianjin-Hebei Ur-ban Agglomeration:Based on DPSIR-TOPSIS Model[J].Ecological Economy,2022,38(5):107-113.
[33] 冷 仙,曾 源,周 键,等.基于熵权TOPSIS法的西南自然保护区景观保护成效评价[J].生态学报,2023,43(3):1040-1053.
LENG Xian,ZENG Yuan,ZHOU Jian,et al.Landscape Conservation Effectiveness Assessment of Nature Reserves Based on Entropy Weight-TOPSIS in Southwest China[J].Acta Ecologica Sinica,2023,43(3):1040-1053.
[34] 邓全成,平建华,梅雪梅,等.基于组合权重TOPSIS模型的新乡市水资源承载力评价[J].水资源与水工程学报,2022,33(5):81-87.
DENG Quan-cheng,PING Jian-hua,MEI Xue-mei,et al.Evaluation of Water Resources Carrying Capacity of Xinxiang City Based on Combined Weight TOPSIS Model[J].Journal of Water Resources & Water Engineering,2022,33(5):81-87.
[35] 傅聪颖,赖昭豪,郭 熙.基于熵权TOPSIS模型的区域资源环境承载力评价及障碍因素诊断[J].生态经济,2020,36(1):198-204.
FU Cong-ying,LAI Zhao-hao,GUO Xi.Evaluation of Regional Resource and Environment Carrying Capacity Based on the Entropy-weight TOPSIS Model and the Obstacle Factors Diagnosis[J].Ecological Economy,2020,36(1):198-204.
[36] 李志忠,孙萍萍,陈霄燕,等.基于卫星遥感技术的绿色发展指标:以中国西部地区为例[J].地球科学与环境学报,2022,44(2):143-155.
LI Zhi-zhong,SUN Ping-ping,CHEN Xiao-yan,et al.Green Development Index Based on Satellite Remote Sensing Technology:A Case Study in the Western China[J].Journal of Earth Sciences and Environment,2022,44(2):143-155.
[37] 郭 宇,姚亦锋,王振波,等.基于主体功能区的长江经济带绿色发展评价与问题区域识别[J].生态学报,2023,43(7):2569-2582.
GUO Yu,YAO Yi-feng,WANG Zhen-bo,et al.Green Development Evaluation and Problem Areas Identification of the Yangtze River Economic Belt from the Perspective of Major Function Oriented Zones[J].Acta Ecologica Sinica,2023,43(7):2569-2582.
[38] 徐小鹰,田焮焮.长三角城市群绿色发展水平的时空演变及趋势预测[J].长江流域资源与环境,2022,31(12):2568-2581.
XU Xiao-ying,TIAN Xin-xin.Spatial-temporal Evolution and Trend Prediction of Green Development Le-vel of Yangtze River Delta Urban Agglomerations[J].Resources and Environment in the Yangtze Basin,2022,31(12):2568-2581.
[39] 郭建峰,欧筱彤.高质量发展视角下碳排放权交易政策对城市生态福利绩效的影响[J].地球科学与环境学报,2023,45(2):373-384.
GUO Jian-feng,OU Xiao-tong.Impact of Carbon Emi-ssion Trading Policy on Urban Ecological Well-being Performance from the Perspective of High-quality Development[J].Journal of Earth Sciences and Environment,2023,45(2):373-384.

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备注/Memo

备注/Memo:
收稿日期:2022-12-13; 修回日期:2023-04-01投稿网址:http:∥jese.chd.edu.cn/
基金项目:新疆维吾尔自治区自然科学基金项目(2021D01B54); 国家自然科学基金项目(72164035)
作者简介:刘珊珊(1997-),女,内蒙古赤峰人,管理学硕士研究生,E-mail:2178146309@qq.com。
*通讯作者:吴文婕(1986-),女,新疆乌鲁木齐人,副教授,理学博士,E-mail:15294210239@126.com。
更新日期/Last Update: 2023-06-20