长江三角洲城市群“三生”功能耦合协调时空分异及其影响因素分析
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山西师范大学 地理科学学院

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山西省哲学社会科学规划项目(编号2018B050);2020年度山西省研究生教育改革(指令性)研究课题项目(编号2020YJJG159)


Spatial-temporal differentiation and influencing factors of coupling coordination of “production-living-ecological” functions in Yangtze River Delta urban agglomeration
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1.School of Geography,Shanxi Normal University,Shanxi Linfen 041000;2.China

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Philosophy and Social Science Planning Project of Shanxi Province (No. 2018B050) ;Research Project of Shanxi Province Graduate Education Reform (mandatory) in 2020 (No. 2020YJJG159).

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    摘要:

    长江三角洲城市群是中国城市化水平和经济发展水平最高的城市群,其“三生”功能问题和矛盾日益凸显,“三生”功能耦合协调分析是国土空间规划及区域可持续发展的基础。以长江三角洲城市群为研究区,从农业生产、非农业生产、生活水平、生活保障、生态压力和生态保障六个方面筛选31项指标构建“三生”功能评价指标体系,采用熵权法和AHP法组合确定评价指标权重。并引入耦合协调度模型,以2000—2019年为研究时段进行“三生”功能评价及其耦合协调度分析,并运用面板数据模型和Robust回归分析影响研究区“三生”功能的主要因素。结果表明:(1)研究区2000—2019年间生产、生活、生态功能整体上稳步提升,其中,生产功能东西部发展优于中部,低值区缩减;生活功能东部优于西部,南部优于北部;生态功能随时间呈现由西南部到东南部最优的变化特征。“三生”功能总体表现为 “东部优于西部,南部优于北部,东南部发展最优”格局,空间差异明显;(2)生产-生活严重失调城市占比由23.08%缩减为0,基本协调城市占比由11.54%提高到46.15%,中度协调城市占比由0提高到53.85%,耦合协调性提高显著;生产-生态中度失调城市占比由57.69%降为4.8%,基本协调城市占比由19.23%提升为88.46%;生活-生态耦合严重和中度失调城市占比由有到无,中度协调城市占比由0提升为88.46%,上海市升为高度协调城市;生产-生活-生态功能耦合协调度逐步提高,在空间上呈现东部、东南部为主要高值区,沿海优于内陆的分布格局;(3)地均农业机械总动力、地均固定资产投资、城镇常住居民人均可支配收入、草地面积、绿地覆盖率等因素对研究区“三生”功能耦合协调发展起到了巨大的推动作用,而农村常住居民人均可支配收入对“三生”功能耦合协调起到了限制作用。研究结果能为其社会经济稳定发展与国土空间资源利用可持续发展提供参考依据。

    Abstract:

    The urban agglomeration in the Yangtze River Delta is the one with the highest level of urbanization and economic development in China. Its “production-living-ecological” function problems and contradictions have become increasingly prominent. The coupling and coordination analysis of “production-living-ecological” functions is the basis of land space planning and regional sustainable development. Taking the Yangtze River Delta urban agglomeration as the research area, 31 indicators were selected from six aspects of agricultural production, non-agricultural production, living standards, living security, ecological pressure and ecological security to construct the evaluation index system of " production-living-ecological " functions. The entropy weight method and AHP method were used to determine the weight of the evaluation index. The coupling coordination degree model was introduced to evaluate the“production-living-ecological " functions and analyze its coupling coordination degree from 2000 to 2019. The panel data model and Robust regression were used to analyze the main factors affecting the “production-living-ecological " functions in the study area .The results show that: (1) The production, living and ecological functions of the study area have improved steadily from 2000 to 2019. Among them, the development of production function in the east and west is better than that in the middle, and the low value area is reduced.; The living function of the east is better than that of the west, and that of the south is better than that of the north.; The ecological function shows the best change characteristics from southwest to southeast over time. The overall performance of " production-living-ecological " functions is " the east is better than the west, the south is better than the north, and the southeast is the best " pattern, with obvious spatial differences ;(2) The proportion of cities with severe production-life imbalance decreased from 23.08 % to 0, the proportion of cities with basic coordination increased from 11.54 % to 46.15 %, the proportion of cities with moderate coordination increased from 0 to 53.85 %, and the coupling coordination increased significantly;The proportion of cities with moderate production-ecological imbalance decreased from 57.69 % to 4.8 %, and the proportion of cities with basic coordination increased from 19.23 % to 88.46 %; the proportion of cities with severe and moderately unbalanced life-ecological coupling ranges from existence to none;the proportion of moderate coordinated cities increased from 0 to 88.46 %, and Shanghai increased to highly coordinated cities;The coupling coordination degree of production, living and ecological functions gradually increased. The spatial distribution pattern showed that the eastern and southeastern regions were the main high-value regions, and the coastal regions were better than the inland regions. (3) Factors such as total power of agricultural machinery per land, investment in fixed assets per land, per capita disposable income of urban residents, grassland area, green coverage rate and other factors have contributed to the coordinated development of the “production-living-ecological ”functions in the study area ,having a huge driving force, and the per capita disposable income of rural residents has restricted the function of production-living-ecological coupling and coordination. The results can provide a reference basis for the stable development of its social economy and the sustainable development of land space resources utilization.

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陕永杰,魏绍康,原卫利,苗 圆.长江三角洲城市群“三生”功能耦合协调时空分异及其影响因素分析.生态学报,,(). http://dx. doi. org/10.5846/stxb202108082175

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