| 摘要: |
| 基于统计年鉴面板数据，运用
主成分分析法（PCA）和探索空间数据
法（ESDA）对成渝城市群各城市经济发展
水平进行综合测度，并在空间上对其集聚和
异质性进行分析。研究提取出经济实力、经
济品质和经济结构三项主成分，评价得分和
空间相关性的综合研究表明：经济实力上，
全局与局部相关性均不显著，成渝两城市极
化明显，缺乏区域副中心城市，城市群发展
能级不足；经济品质上，空间相关性以“二
元集聚”的异质性显著呈现，重庆地区辐射
带动效应强于四川地区；经济结构上，“川
东—渝西”产业板块日益显现，但存在产业
同质化现象。研究综合面板数据和空间地理
数据，客观揭示了成渝城市群的经济发展水
平差异，并提出相应的发展对策，以期对成
渝区域协调发展提供理论和实践参考。 |
| 关键词: 成渝城市群 主成分分析 探索空间数据分析 经济发展 空间差异 |
| DOI：10.13791/j.cnki.hsfwest.20210210 |
| 分类号: |
| 基金项目:浙江省自然科学基金（LY19E080025） |
|
| Spatial Disparities of Economic Level of Chengdu-Chongqing City Group Based on PCA-ESDA |
|
HU Xiaoming,LI Xiaolong,WEI Fang
|
| Abstract: |
| At present, the development of Chengdu-Chongqing urban agglomeration has
officially risen to a national strategy: The “Chengdu-Chongqing Urban Agglomeration
Development Plan” approved by the State Council in 2016 pointed out that by 2020, the Chengdu-
Chongqing area will basically be built into a vibrant economy, good quality of life, and beautiful
ecological environment. National-level urban agglomerations, by 2030, achieve a historic leap
from a national-level urban agglomeration to a world-class urban agglomeration; the sixth
Central Finance and Economic Commission clearly stated that it is necessary to promote the
construction of a two-city economic circle in the Chengdu-Chongqing region and form a high-
quality growth pole for development; on Feb. 24, 2021, the Central Committee of the Communist
Party of China and the State Council issued the “National Comprehensive Three-dimensional
Transportation Network Planning Outline”, further pointing out that the Chengdu-Chongqing
dual-city economic circle will be linked to the Beijing-Tianjin-Hebei, Yangtze River Delta,
and Guangdong-Hong Kong-Macao Greater Bay Area. As a “quadrupole”, the main skeleton
of the national comprehensive three-dimensional transportation network is constructed. Under
the current complex domestic and international situation, the Chengdu-Chongqing urban
agglomeration will participate in the important historical missions of the “One Belt, One Road”
and the Yangtze River Economic Belt national strategy, as well as broadening China’s economic
leeway and expanding the depth of the Chinese nation’s strategy, which will contribute to the
level of economic development of the urban agglomeration. The research also appears to be
particularly important.
Based on the background of implementing the “Chengyu Urban Agglomeration
Development Plan” and the promotion of the “Chengyu Region Two-City Economic Circle
Construction”, this paper builds comprehensive indicators based on the panel data of the three-
phase statistical yearbooks of 2007, 2012 and 2017, using principal components. The analysis
method organically combines the results of mathematical statistics and spatial correlation
analysis, and focuses on spatial heterogeneity to explore the spatial differentiation of the
economic development of the Chengdu-Chongqing urban agglomeration. In the principal component analysis of the economic level of the Chengdu-Chongqing urban agglomeration, the study extracted three principal components
of economic strength, economic quality, and economic structure. From the ranking changes, it is concluded that the transition phenomenon of
Yongchuan and Wanzhou in the front section is more obvious, while the longevity area there has been a significant decline in the ranking; in
the middle ranking regions, a relatively stable structure is reflected from the analysis of three cross-sectional data. Among them: Nanchong has
a relatively obvious relative improvement; in the latter rankings, Neijiang, Ziyang, Ya’an, etc., the land has been retreating year by year, and
Zhongxian, Dianjiang and other places are relatively slowly increasing. Further spatially analyze the spatial correlation of the three principal
components, and conduct a mechanism analysis of the data results: in terms of economic strength, most cities have an order of magnitude
difference compared with the two core cities of Chengdu and Chongqing, so the identification of sector features is not significant. This is
reflected in the obvious polarization of Chengdu and Chongqing, lack of regional sub-central cities, and insufficient development capacity of
urban agglomerations. While the two major economies of Chengdu and Chongqing are expanding and strengthening themselves, they do not have
much “point-to-surface” driving effect. The remaining small towns lack development momentum, and the urban agglomeration region lacks a
third central city. In terms of economic quality, the spatial correlation is significantly manifested by the heterogeneity of “dual agglomeration”.
The radiation driving effect of Chongqing is stronger than that of Sichuan. The administrative areas of cities and prefectures are relatively
large, and the net outflow of population is relatively large. The development of Chengdu’s jurisdiction is still in the strengthening stage, which
makes the economic quality in the background of lower economic aggregates have a clear collapse state; in terms of economic structure,
“Eastern Sichuan-Western Chongqing” , the industry sector is increasingly emerging, but there is a phenomenon of industry homogeneity.
Rongchang, Neijiang, and Luzhou are adjacent to less than 100 kilometers. In terms of supporting development of leading industries, they
also focus on equipment manufacturing, biomedicine and other industries. The division of labor failed to form a misplaced development, and
vicious competition appeared in investment promotion and resource allocation. Finally, the study combines the results of spatial data analysis,
and proposes three countermeasures and considerations: First, it is necessary to optimize the urban gradient system, build regional sub-central
cities, and construct the urban agglomeration pattern of “super large cities-mega cities-large cities-medium cities-small cities”, to form an
urban gradient system with complete levels, appropriate scale, complete functions, and orderly operation; the second is to improve the regional
coordination mechanism, build a community of urban agglomerations, weaken the economic functions of administrative divisions, and highlight
its social governance and facility services. Improve the overall competitiveness of the urban agglomeration; the third is to transform the
government’s governance functions to achieve industrial dislocation development. A good industrial chain connection should be formed between
cities to ensure that cooperation is greater than competition, and economic development forms a joint force. |
| Key words: Chengyu City Group Principal Component Analysis (PCA) Exploratory Spatial Data Analysis (ESDA) Economic Development Spatial Disparity |
