张佰瑞, 胡明茜. 中国三大城市群数字经济与生态经济效率耦合协调的时空特征及影响因素研究[J]. 云南农业大学学报(社会科学), 2024, 18(4): 26−35. DOI: 10.12371/j.ynau(s).202404110
引用本文: 张佰瑞, 胡明茜. 中国三大城市群数字经济与生态经济效率耦合协调的时空特征及影响因素研究[J]. 云南农业大学学报(社会科学), 2024, 18(4): 26−35. DOI: 10.12371/j.ynau(s).202404110
ZHANG Bairui, HU Mingxi. The Spatio-temporal Characteristics and Influencing Factors of Coupling Coordination Degree Between Digital Economy and Eco-economic Efficiency in the Three Major Urban Agglomerations of China[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(4): 26-35. DOI: 10.12371/j.ynau(s).202404110
Citation: ZHANG Bairui, HU Mingxi. The Spatio-temporal Characteristics and Influencing Factors of Coupling Coordination Degree Between Digital Economy and Eco-economic Efficiency in the Three Major Urban Agglomerations of China[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(4): 26-35. DOI: 10.12371/j.ynau(s).202404110

中国三大城市群数字经济与生态经济效率耦合协调的时空特征及影响因素研究

The Spatio-temporal Characteristics and Influencing Factors of Coupling Coordination Degree Between Digital Economy and Eco-economic Efficiency in the Three Major Urban Agglomerations of China

  • 摘要: 基于数字经济和生态经济效率的丰富内涵,以京津冀、长三角以及珠三角三大城市群为研究对象,综合运用熵权—TOPSIS法、Super-SBM模型以及耦合协调模型,系统分析2011—2021年数字经济与生态经济效率耦合协调度的时空演变特征,并结合面板Tobit模型探讨其影响因素。结果显示:(1)三大城市群数字经济与生态经济效率耦合协调度表现出持续增长的良好态势,协调度均值从高到低排序依次为:珠三角>长三角>京津冀,京津冀城市群以北京市为中心,充分发挥“一核”的辐射作用,长三角城市群呈现“以高值为中心,连片发展”的特点,珠三角城市群则表现出“中间高、两端低”的趋势。(2)经济发展水平、金融发展水平对三大城市群耦合协调度具有显著的正向促进作用,而对外开放程度、政府干预程度、科技水平以及产业结构水平对城市群耦合协调发展的影响具有明显的区域差异性。

     

    Abstract:
    Based on the rich connotation of the efficiency of digital economy and ecological economy, this paper took the three major urban agglomerations of Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta as the research objects, comprehensively applying entropy weight-TOPSIS method, Super-SBM model and coupling coordination model, systematically analyzing the spatial-temporal evolution characteristics of the coupling coordination degree of digital economy and ecological economy efficiency from 2011 to 2021. The influencing factors were discussed with panel Tobit model. The results showed that: (1) The coupling coordination degree of digital economy and ecological economy efficiency in the three major urban agglomerations showed a good trend of continuous growth, and the average coordination degree was ranked from high to low as follows: Pearl River Delta > Yangtze River Delta > Beijing-Tianjin-Hebei, among which the Beijing-Tianjin-Hebei urban agglomeration had always been centered on Beijing, giving full play to the radiation role of “one core” . The Yangtze River Delta urban agglomeration showed the characteristics of “high value as the center, continuous development” , while the Pearl River Delta
    urban agglomeration showed the trend of “high in the middle and low at both ends” . (2) The level of economic development and financial development had a significant positive promoting effect on the coupling coordination degree of the three major urban agglomerations, while the influence of the degree of opening to the outside world, the degree of government intervention, the level of science and technology and the level of industrial structure on the coupling and coordination development of urban agglomerations had obvious regional differences.

     

/

返回文章
返回