Research on Evaluation of Green Development Level of Urban Agglomeration Based on Interval Optimization

Author(s):  
Yang Di ◽  
Sun Zenjie ◽  
Zhu Jinhui ◽  
Zhang Xiaojie ◽  
Lv Yuntong
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Junfeng Yin ◽  
Haimeng Liu ◽  
Peiji Shi ◽  
Weiping Zhang

Based on socioeconomic statistical data, transport data, and network big data, the urban connection index (UCI) was constructed in terms of industry, transportation, information, and innovation, and the high-quality development index (HDI) was established from five aspects: innovation, coordination, green development, openness, and sharing. Taking Lanzhou-Xining urban agglomeration as a case, the urban connection intensity and high-quality development level were measured to analyze the relationship between them. From 2012 to 2018, the UCI and HDI of each city showed different degrees of growth. Note that there exist significant regional differences, with Lanzhou and Xining having the largest difference. The biggest gap among cities lies in the innovative connection intensity. Moreover, urban external connections are closely related to high-quality development, especially innovation and green development. For every 1% increase in industrial and transport connection, the HDI will increase by 0.317% and 0.159%, respectively. This study provides a methodological reference for measuring urban connectivity and provides decision support for high-quality development in China and other countries.


2020 ◽  
Vol 12 (11) ◽  
pp. 4589
Author(s):  
Qiufang Shi ◽  
Xiaoyong Yan ◽  
Bin Jia ◽  
Ziyou Gao

A reasonable comprehensive evaluation of the degree of urban agglomeration development is of great significance for its sustainable development. Although there are some studies on the evaluation of urban agglomeration development degree from the overall development level, only a few studies consider internal development equilibrium and internal interaction intensity. This work uses freight trip data as the main empirical data to establish three alternative evaluation indexes named the overall freight intensity, the internal freight intensity equilibrium level, and the internal freight interaction relative intensity to reflect the urban agglomeration’s overall development level, internal equilibrium level, and internal interaction level, respectively. Then, this work weights the above three alternative indexes to comprehensively evaluate the comprehensive development degree of 14 Chinese urban agglomerations. Finally, this work classifies these urban agglomerations into three stages according to the comprehensive evaluation values. The research results could help us to reasonably evaluate the degree of comprehensive development of urban agglomeration.


Author(s):  
Zhou Ying ◽  
Jian Yaling ◽  
Wang Yun ◽  
Jiao Jie ◽  
Wan Mingyong ◽  
...  

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.


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.


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.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260985
Author(s):  
Haijuan Yan ◽  
Xiaofei Hu ◽  
Dawei Wu ◽  
Jianing Zhang

Green development is an effective way to achieve economic growth and social development in a harmonious, sustainable, and efficient manner. Although the Yangtze River Economic Belt (YREB) plays an important strategic role in China, our understanding of its spatiotemporal characteristics, as well as the multiple factors affecting its green development level (GDL), remains limited. This study used the entropy weight method (EWM) to analyze the temporal evolution and spatial differentiation characteristics of the GDL in the YREB from 2011 to 2019. Further, fuzzy-set qualitative comparative analysis (fsQCA) was used to analyze the influence path of GDL. The results showed that the GDL of the YREB increased from 2015 to 2019, but the overall level was still not high, with high GDL mainly concentrated in the lower reaches. The GDL model changed from being environmentally driven and government supported in 2011 to being environmentally and economically driven since 2014. The core conditions for high GDL changed from economic development level (EDL) to scientific technological innovation level (STIL) and environmental regulation (ER). The path for improving GDL is as follows: In regions with high EDL, effective ER, moderate openness level (OL), and high STIL are the basis, supplemented by a reasonable urbanization scale (US). In areas with low EDL, reasonable industrial structure (IS) and STIL are the core conditions for development; further, EDL should be improved and effective ER and OL implemented. Alternatively, without considering changes to EDL, improvement can be achieved through reasonable OL and US or effective ER. This study provides a new method for exploring the path of GDL and a reference for governments to effectively adjust green development policies.


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