资源科学 ›› 2021, Vol. 43 ›› Issue (10): 2093-2104.doi: 10.18402/resci.2021.10.13

• 土地资源 • 上一篇    下一篇

长三角区域一体化与城市土地利用效率的协同测度及交互响应

杨清可1,2(), 段学军3(), 王磊3, 王珅4, 范业婷1,2, 朱高立1,2   

  1. 1.南京财经大学公共管理学院,南京210023
    2.自然资源部海岸带开发与保护重点实验室,南京210017
    3.中国科学院南京地理与湖泊研究所,南京210008
    4.江苏省地质调查研究院,南京 210018
  • 收稿日期:2020-11-10 修回日期:2021-01-15 出版日期:2021-10-25 发布日期:2021-12-25
  • 通讯作者: 段学军,男,内蒙古赤峰人,研究员,研究方向为区域开发与可持续发展。E-mail: xjduan@niglas.ac.cn
  • 作者简介:杨清可,男,山东滕州人,讲师,研究方向为区域规划与土地利用。E-mail: yangqingke66@163.com
  • 基金资助:
    国家重点研发计划项目(2018YFD1100101);自然资源部海岸带开发与保护重点实验室开放基金项目(2021CZEPK05);教育部人文社会科学研究项目(21YJC630183)

Collaborative measurement and interactive response between regional integration and urban land use efficiency in the Yangtze River Delta

YANG Qingke1,2(), DUAN Xuejun3(), WANG Lei3, WANG Shen4, FAN Yeting1,2, ZHU Gaoli1,2   

  1. 1. School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210023, China
    2. Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing 210017, China
    3. Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China
    4. Geological Survey of Jiangsu Province, Nanjing 210018, China
  • Received:2020-11-10 Revised:2021-01-15 Online:2021-10-25 Published:2021-12-25

摘要:

城市土地利用效率影响区域一体化中的要素流动方向和产业发展态势,土地利用效率的提高是驱动一体化发展的重要因素。如何有效协调长三角一体化和土地利用的良性关系,成为学界的研究热点。因此,本文基于区域一体化与城市土地利用效率的协同机理分析,构建区域一体化与土地利用效率效率评价体系,解析其时空演变特征;通过灰色关联分析验证了两者之间的关系,采用面板VAR模型探究交互响应机制。结果表明:①研究期内长三角一体化水平不断提升,“核心-外围”极化特征显著;城市土地利用效率上升明显,与一体化的演化趋势吻合。受区位条件、经济水平与资源等多种要素影响,区域一体化与土地利用效率的空间格局匹配失衡。②区域一体化与土地利用效率具有中高等级的关联度,两系统之间存在一定的关联。③长三角一体化与土地利用效率两系统间正负波动交替的非线性交互特征明显,其中区域一体化对土地利用效率具有负向累进的冲击效应,而城市土地利用效率对一体化冲击的正向增强效应逐渐减弱并收敛为0。根据上述研究结果,制定了差异化的长三角区域一体化发展和城市土地利用管控策略,以期为促进区域协调发展与城市土地高效利用提供科学参考。

关键词: 区域一体化, 城市土地利用效率, 交互响应, 面板VAR模型, 长三角

Abstract:

Based on the theoretical analysis of the synergy between regional integration and urban land use efficiency, this study constructed an evaluation index system of integration and efficiency respectively. It first analyzed the characteristics of change of the spatial and temporal patterns of integration and efficiency; then, it verified the collaborative relationship between integration and efficiency by using the grey correlation model; finally, it described the interactive response mechanism between them by using the panel-data vector auto regression (VAR) model. The results show that: (1) From 2000 to 2018, the level of regional integration in the Yangtze River Delta had continuously improved, and the level had been increasing year by year. Spatially, the core-periphery polarization characteristics are obvious, and the overall urban land use efficiency showed an obvious upward trend. At the macro level, there exist some coupling characteristics between urban land use efficiency and the trend of regional integration, but there is a spatial mismatch affected by the heterogeneity of locational conditions, economic development level, and resource elements. (2) The comprehensive grey correlation analysis between regional integration and urban land use efficiency shows that there exists a medium to high level of grey correlation, and the performance is relatively stable, which confirms that there is an interactive relationship. (3) There exists a two-way interactive Granger causality between regional integration and urban land use efficiency in the Yangtze River Delta. Both regional integration and urban land use efficiency have positive self-strengthening effect and inertial growth trend. The nonlinear characteristics of the interaction are obvious, and there is an interaction mechanism of positive or negative fluctuations alternately. The results of impulse response analysis show that regional integration had a sustained negative enhancement effect on the level of land use efficiency, while urban land use efficiency had a small positive response to the first three stages of regional integration, and then the positive enhancement effect gradually weakened and converged to 0 in the later stage.

Key words: regional integration, urban land use efficiency, interactive response, panel VAR, Yangtze River Delta