Study on the Spatial Pattern of Urbanization Level and Economic Development Level in Shandong Peninsula Urban Agglomeration

2014 ◽  
Vol 522-524 ◽  
pp. 1607-1611 ◽  
Author(s):  
Bao Yan Shan ◽  
Fei Meng

In order to study the spatial pattern of the urbanization level and economic development and their relationships in Shandong peninsula urban agglomeration, principal component analysis (PCA) were used to calculate the comprehensive development level of urbanization and economic development, and GIS were used to analyze their spatial pattern. The research results showed that the urbanization and economic development levels have high correlation in Shandong peninsula urban agglomeration; the urbanization levels of all cities in Shandong peninsula urban agglomerations will continue to improve, but the urbanization speed is becoming slow. We get two enlightenments from the results: The current advance of urbanization in some areas of Shandong peninsula urban agglomeration phenomenon is worth of attention and vigilance; and the cause of the low level of urbanization is a relatively low level of economic development.

2021 ◽  
Vol 236 ◽  
pp. 03015
Author(s):  
Yatian Liu ◽  
Shengxi Ding

Firstly, this article uses the Entropy method to calculate the weights of economic development and ecological environment indicators in the eastern urban agglomeration of Qinghai Province from 2005 to 2019. Secondly, this article uses the calculated weights and linear weighting functions to construct evaluation models for economic development and ecological environment development, respectively. The results show that the comprehensive development level of the economic development in the eastern urban agglomeration of Qinghai Province cities is gradually rising, and the comprehensive development level of the ecological environment fluctuates slightly but the overall development trend is increasing. Then, using the Environmental-Economic Coordination degree evaluation model, quantitative analysis and evaluation of the Environmental-Economic system coordination degree, it is found that the coordinated development of the economic and ecological environment of the eastern urban agglomeration in Qinghai Province is relatively well. Finally, it analysis and proposes countermeasures and suggestions to promote the coordinated development of the economic and environmental system of the eastern urban agglomeration in Qinghai Province.


2015 ◽  
Vol 744-746 ◽  
pp. 2258-2262
Author(s):  
Bao Yan Shan ◽  
Li’e Wang

In order to analyze the difference of the level of new-type and traditional urbanization of Shandong province, 20 indexes were selected involving economic, society and environment, etc, and principal component analysis was applied to calculate the score of the new-type urbanization levels of the 108 cities in Shandong in 2008 and 2013, and GIS was applied to analyze the spatial distribution of the levels. The results show that the cities whose new-type urbanization level is higher than that of traditional urbanization are located at the east of Shandong peninsula urban agglomeration, and the cities whose new-type urbanization level is lower than that of traditional urbanization are located at the north-west and south-west of the province in both 2008 and 2012.


2021 ◽  
Vol 13 (8) ◽  
pp. 4220
Author(s):  
Jingtao Wang ◽  
Haibin Liu ◽  
Di Peng ◽  
Qian Lv ◽  
Yu Sun ◽  
...  

The integrated night light (NTL) datasets were used to represent the economic development level, and visual analysis was carried out on the evolution characteristics of the economic spatial pattern of various urban agglomerations in the Yellow River Basin (YRB), at a county-scale, in 1992, 2005, and 2018. The Global Moran’s I and the local Getis-Ord G methods were used to explore the overall spatial correlation and local cold–hot spot of economic development levels, respectively. The spatial heterogeneity of the influence of relevant factors on the economic development level at the municipal scale was analyzed by using the multi-scale geographically weighted regression (MGWR) model. The results show that the county-level economic spatial pattern of urban agglomeration in the YRB has an obvious “pyramid” characteristic. The hot spots are concentrated in the hinterland of the Guanzhong Plain, the Central Plains, and the Shandong Peninsula urban agglomeration. The cold spots are concentrated in the junction of urban agglomerations, and the characteristics of “cold in the west and hot in the east” are obvious. Labor input and import and exporthave a positive impact on the economic development level for each urban agglomeration, government force has a negative impact, and education shows both positive and negative polarization on economic development.


2018 ◽  
Vol 53 ◽  
pp. 03070
Author(s):  
Yue Chen ◽  
Yan Yu ◽  
Qianwen Han ◽  
Yan Tong ◽  
Yuanyuan Ke

Exploring the coupling coordinated relationship between urbanization and eco-environment of the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) from 2000 to 2015 can provide a theoretical basis for the overall planning and healthy development of the region. Therefore, in this article, we took 31 cities of the UAMRYR as the research area, and established an evaluation system to calculate the urbanization level and eco-environmental quality. Then, using entropy method and coupling measurement model, we analyzed the coupling coordination relationship between urbanization level and eco-environmental quality from spatial and temporal perspectives. Temporally, the coupling degree (CD) and coupling coordinated degree (CCD) continually rose during the 16 years. Spatially, the coordinated development level of urbanization level and eco-environmental quality had significant spatial differences. The CD presented the “northwest-southeast” spatial characteristics corresponding to high-low distribution. The CCD showed an inverted Y-shaped spatial pattern that gradually decreases outward from the provincial capital city. The coordinated development level of urbanization and eco-environment in the UAMRYR showed a central-periphery spatial pattern, and had an obvious spatial variation.


2021 ◽  
Vol 123 ◽  
pp. 01019
Author(s):  
Ziye Liu ◽  
Miaoxin Liu ◽  
Xin Chen ◽  
Xinyang Dai ◽  
Yulin Zhu

This paper selects data related to each representative industry in the Central Yunnan Urban Agglomeration from 2010-2019 as the research sample, and analyzes the functional structure of the Central Yunnan Urban Agglomeration through spatial Gini coefficient, primacy and location quotient. The research results show that: the economic development level of Kunming, a city with high primacy, is insufficient. Moreover, the development differences within the Central Yunnan Urban Agglomeration are large enough and it’s hard to drive economic recovery. The industrial agglomeration of the Central Yunnan Urban Agglomeration is not high. There are fluctuating changes in industries that depend on the natural environment, and the epidemic has a large impact on the pillar industries as well. There are overlapping industrial functions within the Central Yunnan Urban Agglomeration. The complementarity of each function is not high enough, and the degree of regional economic integration is not enough, which is not conducive to economic recovery.


2018 ◽  
Vol 53 ◽  
pp. 03064
Author(s):  
Yin Fu ◽  
Wei Shui

Based on the construction of indicator system for evaluating Comprehensive index of economic development, the synthetic economic development levels are evaluated from 2000 to 2015 in GuiYang. GIS Spatial analysis has studied the disparities in economic development in GuiYang. By calculating the spatial autocorrelation Moran's I index of GuiYang Comprehensive Development Index, it reveals that it's economic development has significant spatial autocorrelation, and the regional economic development has obvious dual structure; finally, through analyzing the local indicator of spatial association (LASA) each year. this paper reveals the temporal and spatial variation characteristics of economic development in GuiYang.


2020 ◽  
Vol 12 (23) ◽  
pp. 10190
Author(s):  
Yongsheng Sun ◽  
Lianjun Tong ◽  
Daqian Liu

Green development is not only important for realizing a sustainable development strategy, but also a key approach for constructing an ecological civilization and transforming economic development. On the basis the development concept of a coordinated human–earth relationship and the paradigm of the process–pattern mechanism, this research adopted the drivers, pressures, state, impact, and response (DPSIR) model to build a green development level indicator system. The established indicator system is then applied to explore the spatial-temporal patterns and obstacles in the green development of 34 prefectural cities in Northeast China from 2008 to 2017 by the use of the entropy weight TOPSIS model, the obstacle model and the GIS spatial visualization method. There are three main findings. First, during the research period, the spatial evolution of the green development level of cities in Northeast China has gradually shifted from a small gap at an overall low level to a large gap at an overall high level; the spatial pattern of the green development level in these cities is characterized by a decrease from north to south and obvious spatial agglomeration effects. Second, specific findings in this research fail to indicate that the correlation between the economic development level and green development level of cities in Northeast China is entirely positive. That is, cities with higher economic development levels do not necessarily have higher green development levels, while some cities with lower economic development levels did present higher green development levels, which may be related to each region’s resources and environmental carrying capacity. Third, the mechanisms influencing spatial-temporal variation in the green development level of cities in Northeast China are not identical. Among them, resource endowment conditions, economic development status and government investment scale are playing a vital role in changes in the regional green development level, and they are also behind the diverse evolutionary characteristics presented in the different stages of regional green development. For the cities in Northeast China, in the process of promoting green development and to consolidate their existing green development level, efforts should be made to overcome inefficiencies in socioeconomic growth and to continuously enhance ecological protection and environmental governance. Moreover, it is essential to promote incremental increases in the green development level on the basis of the local conditions through the ingestion, absorption and combination of each city’s own characteristics with lessons from the successful experience of different types of cities. In the future, our research should fully consider the role of urbanization, industrial structure, population density, institutional mechanisms, environmental protection supervision, scientific and technological progress and other factors on the green development level in Northeast China and seek an important entry point to achieve regional human–earth coordination.


2013 ◽  
Vol 807-809 ◽  
pp. 1903-1908 ◽  
Author(s):  
Liang Tang ◽  
Hui Cheng ◽  
Ge Qu

How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.


2021 ◽  
Vol 39 (5) ◽  
Author(s):  
Li Zongkeng ◽  
Li Zhuoran ◽  
Andrii Mykhailov ◽  
Wei Shi ◽  
Yang Zhuquan ◽  
...  

This article takes 14 regions in Guangxi as the research object, selects ten indicators that can measure the level of socio-economic development, establishes an index system for evaluating the regional socio-economic development level of Guangxi regions, and uses principal component analysis method and cluster analysis method carry out comprehensive evaluation and difference analysis among the economic development level of Guangxi regions. First, the primary component analysis method uses to comprehensively evaluate the economic development level of 14 regions in Guangxi. The results show that there are vast differences in the economic development levels of regions in Guangxi. Secondly, a systematic cluster analysis method uses to classify and analyze the differences between regions according to the similarity of economic development status. Finally, combined with the results of principal component analysis and cluster analysis, comprehensive evaluation analysis and discussion on the economic development status of various regions in Guangxi, and based on the evaluation results, proposed countermeasures for the socio-economic development and management in Guangxi province of China.


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