Coupling coordination degree for urbanization city-industry integration level: Sichuan case
Coupling coordination degree for urbanization city-industry integration level: Sichuan case
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DOI：
10.1016/j.scs.2020.102136
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发表时间：
2020-07-01
影响因子：
11.7
通讯作者：
Lan, Hongxing
中科院分区：
文献类型：
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作者：
Gan, Lu;Shi, Huan;Lan, Hongxing
作为新型城镇化进程中的关键问题，城产融合问题越来越受到政府和学术界的重视，特别是在西部地区。基于城市-人口-产业（Urban-Population-Industry， UPI）系统，利用耦合协调度评价城市化城市-产业融合水平，识别影响城市化城市-产业融合水平的关键因素。首先，本研究试图通过一个包含U、P、I子系统的复杂系统来全面描述城市化的城产融合。其次，提出了一种综合的耦合协调度计算方法，以揭示城市化进程中城市-产业一体化水平，包括：(1)基于TOPSIS的灰色关联分析（GRA）；（ii）犹豫模糊偏好关系（HFPR）和熵值法（EM）；（iii）耦合协调度模型（CCDM）；粒子群优化反向传播人工神经网络（PSOBPANN）。然后，找出影响城市产业融合水平的关键因素。最后，对四川省18个城市2000 - 2016年的面板数据进行实证分析，分析其发展过程。结果表明：(1)目前，四川大部分城市的城镇化城产融合协调水平较低。重视发挥中心城市的辐射作用，促进区域共同发展；(2) U、P、I子系统发展不足是城市产业融合水平协调性较低的原因。主要制约因素是工业子系统发展水平低、发展速度慢。
As the key issue in the process of new urbanization, the problem of city-industry integration has drawn the increasing attention from government and academicians, especially in western China. Based on the Urban-Population-Industry (UPI) system, the study utilizes coupling coordination degree to evaluate urbanization city-industry integration level, and identifies the key factors affecting the level of urbanization city-industry integration. Firstly, this study attempts to comprehensively describe the urbanization city-industry integration by a complex system that combines with U, P, I subsystem. Secondly, a comprehensive method for calculating the coupling coordination degree is proposed to reveal the urbanization city-industry integration level in the process of urbanization, including: (i) Grey Relation Analysis (GRA) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS); (ii) Hesitant Fuzzy Preference Relationship (HFPR) and Entropy Method (EM); (iii) Coupling Coordination Degree Model (CCDM); and (iv) Particle Swarm Optimization Back Propagation Artificial Neural Network (PSOBPANN). Then, identify the key aspects that influence the level of urbanization city-industry integration. Finally, an empirical analysis of panel data of 18 cities in Sichuan Province from 2000 to 2016 was conducted to analyze the development process. The results indicated: (1) At present, most cities in Sichuan, western China, are at the low coordination level of urbanization city-industry integration. Attention should be given to promote common regional development by playing to the radiating role of the central city; and (2) U, P, I subsystem's insufficient development is the reason for low coordination between the level of urbanization city-industry integration. The key constraint is the low development level and the slow development rate of industry subsystem.