scholarly journals Measuring the Smart Growth Spatial Performance in Developing City of Northwest China Plains Area

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jing Li ◽  
Hongwei Zhou ◽  
Zhongyuan Cai
Keyword(s):  
Evaluation Model ◽  
Smart Growth ◽  
Growth Efficiency ◽  
Northwest China ◽  
Scale Efficiency ◽  
Growth Trend ◽  
Spatial Efficiency ◽  
Rural Space ◽  
Spatial Performance ◽  
Urban Rural

“Smart growth” is an urban planning concept. In this paper, the overall urban-rural smart growth efficiency is explored, which serves as an indicator to effectively measure the allocation of urban-rural spatial resources and structural rationality of the urban-rural space. Taking a developing county city in northwest China plains area as an example, the urban-rural spatial efficiency system was established and the evaluation model constructed by using the data envelopment analysis (DEA)-slack-based measure (SBM) model. The model was used to empirically analyze the characteristics in 2000, 2010, and 2018. The results show that the urban-rural spatial efficiency of the urban-rural space degree of a county in northwest China plains area exhibits growth trend on the whole, and scale efficiency increases the most. The increase of technical efficiency promotes the growth of spatial performance, which is mainly manifested in the construction of industrial parks. Although urban and rural spatial performance has made great achievements, there are still problems. Results of the test for each city indicate that the method proposed in this study is, in fact, quite effective in evaluating the smart growth pattern for developing cities. Finally, the corresponding improvement social and economic policies’ strategy is proposed.

scholarly journals Spatial Characteristics of Population Activities in Suburban Villages Based on Cellphone Signaling Analysis

2019 ◽  
Vol 11 (7) ◽  
pp. 2159 ◽  
Author(s):  
Jizhe Zhou ◽  
Quanhua Hou ◽  
Wentao Dong
Keyword(s):  
Rural Areas ◽  
Clustering Algorithm ◽  
Scientific Basis ◽  
Population Activity ◽  
Spatial Characteristics ◽  
Rural Space ◽  
Time Space ◽  
Activity Curve ◽  
Urban Rural ◽  
Urban And Rural Areas

There are frequent population flow and complex spatial structures in suburban villages. Understanding the spatial characteristics of population activities in suburban villages helps to coordinate the relationship between urban and rural areas and guide the development of suburban villages and the formulation of sound policies. Taking the rural area of Qin and Han New City as the research object, this paper constructs a population time-space analysis framework of “population attribute-activity characteristics-spatial analysis” based on cellphone signaling data. According to the characteristics of the population activity curve, K-means clustering algorithm was used to classify rural space and analyze their characteristics. This study has shown that migrants, who are showed as young and energetic, account for 49.8% of the local registered population per day. Bidirectional flow of residents and commuters is generally presented in urban and rural areas. The urban-rural relation curve was characterized by “double peaks”. The changes in the population in each village and the intensity of urban-rural relation were affected by location, industry and land use. The village population activity curve was classified into three categories, and nine characteristic villages are formed combined with the activity function. The research results can provide a scientific basis for urban and rural planning, spatial planning, industrial guidance and the facility layout.

scholarly journals A Novel Evaluation Model for Urban Smart Growth Based on Principal Component Regression and Radial Basis Function Neural Network

2019 ◽  
Vol 11 (21) ◽  
pp. 6125
Author(s):  
Lianyan Li ◽  
Xiaobin Ren
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Rbf Neural Network ◽  
Evaluation Model ◽  
Smart Growth ◽  
Principal Component Regression ◽  
Principal Component ◽  
Self Organizing Map ◽  
Radial Basis

Smart growth is widely adopted by urban planners as an innovative approach, which can guide a city to develop into an environmentally friendly modern city. Therefore, determining the degree of smart growth is quite significant. In this paper, sustainable degree (SD) is proposed to evaluate the level of urban smart growth, which is established by principal component regression (PCR) and the radial basis function (RBF) neural network. In the case study of Yumen and Otago, the SD values of Yumen and Otago are 0.04482 and 0.04591, respectively, and both plans are moderately successful. Yumen should give more attention to environmental development while Otago should concentrate on economic development. In order to make a reliable future plan, a self-organizing map (SOM) is conducted to classify all indicators and the RBF neural network-trained indicators are separate under different classifications to output new plans. Finally, the reliability of the plan is confirmed by cellular automata (CA). Through simulation of the trend of urban development, it is found that the development speed of Yumen and Otago would increase slowly in the long term. This paper provides a powerful reference for cities pursuing smart growth.

scholarly journals Exploring Driving Forces of Green Growth: Empirical Analysis on China’s Iron and Steel Industry

2019 ◽  
Vol 11 (4) ◽  
pp. 1122 ◽  
Author(s):  
Xi Qin ◽  
Xiaoling Wang ◽  
Yusen Xu ◽  
Yawen Wei
Keyword(s):  
Driving Forces ◽  
Evaluation Model ◽  
Critical Role ◽  
Inclusive Development ◽  
Scale Efficiency ◽  
Green Growth ◽  
Gradient Distribution ◽  
Iron And Steel ◽  
Research Findings ◽  
Context Specific

Green growth of sectors with extensive energy and environmental impacts represented by the iron and steel (IS) industry plays a critical role in fostering sustainable and inclusive development. This paper constructs an updated evaluation model for green growth estimation by combining a global Malmquist–Luenberger index and an epsilon-based measure. A comprehensive decomposition framework is further posited to reveal underlying determinants of green growth. Research findings based on empirical tests from the panel data of Chinese IS firms spanning 2010–2017 demonstrate that the green growth level increased by 0.80% annually and followed the east–central–west gradient distribution. Technology progress and scale efficiency are two main contributors to China’s IS industrial green growth, whereas managerial inefficiency and scale bias of technical change hinder the productivity gains. The aforementioned factors also play different roles in enhancing the green growth of divergent regions. In accordance, context-specific practical implications and suggestions are put forward based on the research findings to facilitate the green growth of China’s IS industry.

The Economics of Urban-Rural Space

2009 ◽  
Vol 1 (1) ◽  
pp. 435-459 ◽  
Author(s):  
Elena G. Irwin ◽  
Kathleen P. Bell ◽  
Nancy E. Bockstael ◽  
David A. Newburn ◽  
Mark D. Partridge ◽  
...  
Keyword(s):  
Rural Space ◽  
Urban Rural

scholarly journals Evaluating the Effectiveness of Regional Ecological Civilization Policy: Evidence from Jiangsu Province, China

2021 ◽  
Vol 19 (1) ◽  
pp. 388
Author(s):  
Lingyun Mi ◽  
Tianwen Jia ◽  
Yang Yang ◽  
Lulu Jiang ◽  
Bangjun Wang ◽  
...  
Keyword(s):  
Economic Development ◽  
Environmental Protection ◽  
Social Life ◽  
Evaluation Model ◽  
Jiangsu Province ◽  
Evaluation Index System ◽  
Ecological Civilization ◽  
Growth Trend ◽  
Policy Optimization ◽  
Textual Content

Evaluating the effectiveness of ecological civilization policies is the basis from which policymakers can optimize policies. From the perspective of the overall effectiveness of regional policies, and taking Jiangsu Province as an example, this study constructed a quantitative evaluation model of eco-civilization policy text and an eco-civilization evaluation index system. Using these tools, this paper evaluates the effectiveness of 53 ecological civilization policies issued by Jiangsu Province during 2004–2019 to promote the construction of ecological civilization in the four fields of resource utilization, environmental protection, economic development, and social life. There are three key findings. (1) During the period of 2004–2019, the effectiveness of the textual content of ecological civilization policies in Jiangsu Province generally showed a fluctuating upward trend. (2) The construction effectiveness indexes of the four fields of eco-civilization all showed a growth trend, but the construction effect varied greatly. The index of economic development had grown rapidly, while environmental protection had grown slowly. (3) Ecological civilization policies in Jiangsu Province were effective in promoting the construction of ecological civilization. However, the effects of different policy dimensions on ecological civilization development in the four fields were significantly different. Finally, based on these results, powerful recommendations are provided for the optimization of eco-civilization policies in Jiangsu Province. Moreover, Jiangsu is the first province in China to launch a provincial-level ecological civilization construction plan. Its policy optimization to promote ecological civilization construction can also provide an example and realistic basis for reference for the construction of eco-civilization in other provinces in China.

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