scholarly journals Sustainable Development of New Urbanization from the Perspective of Coordination: A New Complex System of Urbanization‒Technology Innovation and the Atmospheric Environment

Atmosphere ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 652 ◽  
Author(s):  
Bin Jiang ◽  
Lei Ding ◽  
Xuejuan Fang

Exploring the coordinated development of urbanization (U), technology innovation (T), and the atmospheric environment (A) is an important way to realize the sustainable development of new-type urbanization in China. Compared with existing research, we developed an integrated index system that accurately represents the overall effect of the three subsystems of UTA, and a new weight determination method, the structure entropy weight (SEW), was introduced. Then, we constructed a coordinated development index (CDI) of UTA to measure the level of sustainability of new-type urbanization. This study also analyzed trends observed in UTA for 11 cities in Zhejiang Province of China, using statistical panel data collected from 2006 to 2017. The results showed that: (1) urbanization efficiency, the benefits of technological innovation, and air quality weigh the most in the indicator systems, which indicates that they are key factors in the behavior of UTA. The subsystem scores of the 11 cities show regional differences to some extent. (2) Comparing the coordination level of UTA subsystems, we found that the order is: coordination degree of UT > coordination degree of UA > coordination degree of TA. This suggests that the atmospheric environment system improvement is an important strategic decision for sustainable urbanization in Zhejiang. (3) The UTACDI values of the 11 cities are not high enough, as the coordination is mainly low, basic, or good, while none of the cities reached the stage of excellent coordination. (4) Gray Model (1,1) revealed that the time taking to achieve excellent coordination varies for different cities. Hangzhou and Ningbo were predicted to reach the excellent coordination level in 2018. Other cities are predicted to take 2–4 years to adjust their urbanization strategies enough to be considered to have excellent coordination of their UTA system.

2013 ◽  
Vol 291-294 ◽  
pp. 1605-1609
Author(s):  
Wen Yan Guo ◽  
Li Ma ◽  
Qiong Wang ◽  
Xiao Liu Shen

This paper studies the coordinated development of Beijing's population, resources, environment, economic and society. With the rapid development of the city, Beijing’s population, society and economic is getting more and more contradictive against its resources and environment, under which circumstance a scientific study on the coordinated development is urgently required. This essay is based on the data of last 10 years of Beijing, and formulates a PREES model of the PREES model in Beijing. This study uses the method of principal component analysis via SPSS, establishes the coordination degree evaluation system of Beijing’s population, resources, environment, economic and society, and runs an empirical analysis afterward. This essay calculates the coordination degree of Beijing’s population, resources, environment, economic and society, analyzes and studies the main issues in Beijing’s coordinated development, and gives relative suggestions.


2019 ◽  
Vol 11 (19) ◽  
pp. 5366 ◽  
Author(s):  
Jiaguo Liu ◽  
Jinxia Zhou ◽  
Fan Liu ◽  
Xiaohang Yue ◽  
Yudan Kong ◽  
...  

Although port-city interaction and sustainability are becoming increasingly essential, prospering regional economy and facilitating international shipping trade, problems of their mismatch and incoordination have also been aroused. Thus, research on their relationship is necessary to generate profound enlightenment on how to achieve healthy and benign development for ports and cities. In this paper, a typical Chinese port-city group, six ports and their corresponding port cities in Liaoning are selected as research objects. Firstly, a grey relative relational model and a coupling coordination degree model based on entropy weight method are applied to analyse the port-city interactive trend and degree as well as exploring the relative impacts among internal factors in port and city subsystems. Then, a sustainability analysis box of correlation–coordination is constructed to further investigate the sustainable development status. Finally, strategies for the port-city sustainable development are proposed. The results indicate the six port-city systems have not strongly correlated and are in the stage of coordinated development. Only Dalian and Yingkou have realized sustainable development. Thus, there is still much room for improvement. Measures such as resources integration and dislocation development should be taken into account to optimize the sustainable and coordinated development of the port-city systems.


2019 ◽  
Vol 11 (1) ◽  
pp. 280 ◽  
Author(s):  
Min Wang ◽  
Xianli Zhao ◽  
Qunxi Gong ◽  
Zhigeng Ji

Traditional development models are being slowly replaced by green economic development models. This paper views regional green economic development as a large complex system and develops a conceptual DPSIR (drivers, pressures, state, impact, response model of intervention) to construct a regional green economy development measurement index system, after which an entropy weight-TOPSIS-coupling coordination degree evaluation model is developed to quantitatively horizontally and vertically analyze regional green economy sustainable development trends and the coupled coordination status of each subsystem. The evaluation model is then employed to analyze the sustainable development of the green economy in Shandong Province from 2010 to 2016. The analysis results were found to be in line with the actual green economy development situation in Shandong Province, indicating that the measurement model had strong practicability for regional green economy development. Meanwhile, this model can demonstrate clearly how those indicators impact on the regional green economy sustainable development and fill the absence of existing studies on regional green economy sustainable development.


2014 ◽  
Vol 587-589 ◽  
pp. 11-15
Author(s):  
Lu Li ◽  
Xian Gui Xue

This paper used the objective method by principal component analysis and fuzzy mathematics method to assess the coordination degree of human settlements environment and economy since 2005 in Guizhou.Combined with the reality to propose the main countermeasure to realize the regional sustainable development.


2012 ◽  
Vol 616-618 ◽  
pp. 1388-1393
Author(s):  
Hong Jun Lei ◽  
Lina Yin ◽  
Bei Dou Xi

Rapid social-economic development and the ever-increasing water pollutant discharge of Wuliangsuhai lake basin made the water quality deteriorated; the lake eutrophication intensified and heavily restricted the sustainable development of the watershed’s social economy. Wuliangsuhai lake basin was selected as the study area. By the use of system dynamics simulation model the water environment and social economy were connected, and three kinds of improved scenarios (resource-environment constrained type, social economy constrained type, coordinated development type) were proposed based on the inertial and planning schemes. Ten indexes of water environment carrying capacity, i.e. the GDP per capita, ratio of industrial output to GDP, et al., were selected, and fuzzy comprehensive evaluation method was used. Results showed that, the water environmental capacity utilization ratios of COD and TN in the resource-environment constrained scenario were 69.5% and 57.9% in 2020, respectively. And the water environment carrying capacity index increased from 0.19 in 2008 to 0.31 in 2020. Under the coordinated development scenario, the surplus environmental capacity of COD and TN were 1755.46t/a, 260.21t/a respectively, and the water environment carrying capacity index was up to 0.29 in 2020. The sustainable development plan was proposed and some feasible suggestions and strategies were put forward.


Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 406
Author(s):  
Xiangyu Wang ◽  
Peichao Gao ◽  
Changqing Song ◽  
Changxiu Cheng

Sustainable development appears to be the theme of our time. To assess the progress of sustainable development, a simple but comprehensive index is of great use. To this end, a multivariate index of sustainable development was developed in this study based on indicators of the United Nations Sustainable Development Goals (SDGs). To demonstrate the usability of this developed index, we applied it to Fujian Province, China. According to the China SDGs indicators and the Fujian situation, we divided the SDGs into three dimensions and selected indicators based on these dimensions. We calculated the weights and two indices with the entropy weight coefficient method based on collecting and processing of data from 2007 to 2017. We assessed and analyzed the sustainable development of Fujian with two indices and we drew three main conclusions. From 2007 to 2017, the development index of Fujian showed an increasing trend and the coordination index of Fujian showed a fluctuating trend. It is difficult to smoothly improve the coordination index of Fujian because the development speeds of Goal 3 (Good Health and Well-being) and Goal 16 (Peace, Justice, and Strong Institutions) were low. The coordination index of Fujian changed from strong coordination to medium coordination from 2011 to 2012 because the development speed of the environmental dimension suddenly improved. It changed from strong coordination to medium coordination from 2015 to 2016 because the values of the development index of the social dimension were decreasing. To the best of our knowledge, these are the first SDGs-based multivariate indices of sustainable development for a region of China. These indices are applicable to different regions.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiangyu Jiang ◽  
Gu-Hong Lin ◽  
Jui-Chan Huang ◽  
I-Hsiang Hu ◽  
Yen-Chun Chiu

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution. Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate. The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems. Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology. This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two. All measurement items in the questionnaire used in this article use Likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise. The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high. Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises. Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mingming Wen ◽  
Chang Liu ◽  
K. A. Mamonov ◽  
Jun Du

The development of marine economy has stimulated the need for marine natural products and services, as well as the demand and utilization intensity of marine resources. As a result, the coastal regions start to discharge more and more pollutants, posing a serious threat to marine ecoenvironment. Because of the interactions between marine economy and marine ecology, it is of practical significance to study the marine economic-ecological complex system (MEECS). However, the relevant studies have several common defects: the incomplete data statistics system, the limited attention on development law or action mechanism, and the lack of long-term quantitative and empirical analysis. To overcome these defects, this paper tries to measure the coordinated and coupled development (CCD) and evaluate the sustainable development of MEECS. Specifically, an ecology-dominated coordinated development model was proposed for the complex system, and a differential equation model was established to describe the dynamic coordinated development of the complex system. Through data envelopment analysis (DEA), the sustainable development of the complex system was evaluated based on its input-output efficiency. Through experiments, the outputs of decision-making units (DMUs) of our model were obtained, and the development of the subsystems in MEECS was evaluated comprehensively to verify the effectiveness of our algorithm.


2021 ◽  
Author(s):  
Yi Xiao ◽  
Yuan Li ◽  
Huan Huang

Abstract The relationship between socioeconomic and ecological environment become a significant factor influencing the sustainable development of resource-based cities (RBCs), the transformation of RBCs is a key component of regional high-quality development. A comprehensive evaluation indicator system was constructed to research the coupling coordination level of RBCs in this paper, the dynamic DM model and the CCD model were adopted to measure the comprehensive level of the coupling coordination degree between socioeconomic and ecological environment of the 9 resource-based cities in Sichuan province. The results showed that the coupling coordination level was not ideal. Only two cities were located to the moderate coordination, and other cities were located to the primary coordination or tiny coordination. In addition, there was a significant different between SE and EE, and the comprehensive evaluation score of SE was lower than that of EE in eight RBCs, which accounting for 88.89%. Based on this, the policy suggestions for the sustainable development of different type of RBCs were provided. This study offers a model of China’s experience that might be benefit for achieving sustainable development goals (SGDs) of other cities and countries.


Sign in / Sign up

Export Citation Format

Share Document