Spatial and Temporal Evolution of Multi-Scale Regional Quality Development and the Influencing Factors

被引:0
|
作者
Du, Liping [1 ]
Zhou, Xianghong [1 ,2 ]
Yang, Ruting [1 ]
Cheng, Pengfei [1 ,2 ]
Cheng, Sijie [3 ]
机构
[1] Hunan Univ Sci & Technol, Sch Business, Xiangtan 411201, Peoples R China
[2] Hunan Engn Res Ctr Intelligent Decis Making & Big, Xiangtan 411201, Peoples R China
[3] UCL, Engn Inst, London WC1E 6BT, England
基金
湖南省自然科学基金;
关键词
high-quality development; spatial and temporal evolution; entropy method; driving factors;
D O I
10.3390/su15076046
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, environmental pollution and massive consumption of resources in the traditional development model have posed significant challenges to the environment and society. In this study, we discuss the influencing factors of high-quality development. High-quality development is increasingly important to exploring the current state of quality development in China. Using the evaluation data of the major nodes of China's provincial administrative regions from 2007 to 2019, the entropy value method was applied to calculate the comprehensive index of high-quality regional development, explain the spatial and temporal evolution pattern of China's high-quality regional development, and reveal the internal driving factors of spatial and temporal evolution. The study concludes that the level of high-quality regional development in the east is higher than that in the western region, and the level of high-quality regional development in the southern region is higher than that in the north. Investment influence, industrial development, and urban-rural development have positive effects on high-quality regional development. However, location and transportation negatively affect high-quality regional development.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Multi-scale spatiotemporal influencing factors of bike-sharing parking demand
    Xu B.
    Lu Q.-C.
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2023, 57 (02): : 380 - 391
  • [32] Research on the influencing factors and correlation of multi-scale morphological descriptors of coarse aggregate
    Zhang, Quan
    Zhang, Xiaohui
    Zhou, Shunhua
    Zhang, Keping
    Chao, He
    Di, Honggui
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 457
  • [33] Multi-scale investigation of factors influencing moisture thresholds for litter bed flammability
    Burton, Jamie E.
    Penman, Trent D.
    Filkov, Alex I.
    Cawson, Jane G.
    AGRICULTURAL AND FOREST METEOROLOGY, 2023, 337
  • [34] Multi-scale EMG classification with spatial-temporal attention for prosthetic hands
    Emimal, M.
    Hans, W. Jino
    Inbamalar, T. M.
    Lindsay, N. Mahiban
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2025, 28 (03) : 337 - 352
  • [35] Multi-scale convolutional networks for traffic forecasting with spatial-temporal attention
    Li, Zilong
    Ren, Qianqian
    Chen, Long
    Li, Jinbao
    Li, Xiaokun
    PATTERN RECOGNITION LETTERS, 2022, 164 : 53 - 59
  • [36] Network Traffic Identification Method Based on Temporal and Multi-scale Spatial Fusion
    Wen, Mingshi
    Hao, Jiakai
    Zhang, Wuwei
    Li, Yuting
    Yang, Yang
    Chen, Shaoyin
    EMERGING NETWORKING ARCHITECTURE AND TECHNOLOGIES, ICENAT 2022, 2023, 1696 : 117 - 130
  • [37] Multi-scale cross-correlation analysis of temporal and spatial seismic data
    Lin, Min
    Qin, Jiaxin
    Wang, Gang
    EUROPEAN PHYSICAL JOURNAL B, 2020, 93 (03):
  • [38] The Importance of Multi-Scale Temporal and Spatial Management for Cemetery Trees in Malmo, Sweden
    Quinton, Jessica M.
    Ostberg, Johan
    Duinker, Peter N.
    FORESTS, 2020, 11 (01):
  • [39] Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features
    Wang, Yao
    Yu, Zujun
    Zhu, Liqiang
    SENSORS, 2018, 18 (12)
  • [40] A multi-scale framework for mapping and analysis of the spatial and temporal pattern of urban growth
    Herold, M
    Clarke, KC
    Menz, G
    GEOINFORMATION FOR EUROPEAN-WIDE INTEGRATION, 2003, : 517 - 524