scholarly journals Environmental Protection, Industrial Structure and Urbanization: Spatiotemporal Evidence from Beijing–Tianjin–Hebei, China

2022 ◽  
Vol 14 (2) ◽  
pp. 795
Author(s):  
Shaojun Ma ◽  
Lei Li ◽  
Huimin Ke ◽  
Yilin Zheng
Keyword(s):  
Environmental Protection ◽  
Spatial Data ◽  
Industrial Structure ◽  
Process Development ◽  
Transformation Process ◽  
Urban Agglomeration ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Development Level ◽  
Low Efficiency

The Beijing–Tianjin–Hebei urban agglomeration (BTH) is striving to realize the transformation process from a low-efficiency to a high-quality development mode; however, it still has problems regarding reducing energy consumption and ecological environment pressure. Based on panel data from 2013 to 2017, this paper proposes an evaluation index system based on BTH’s “environmental protection–industrial structure–urbanization” system. In the course of applying the coupling degree model (CDM) and the coupling coordination degree model (CCDM) with exploratory spatial data analysis (ESDA) methods, this paper discusses the spatiotemporal process, development level, and spatial agglomeration characteristics of the environmental protection–industrial structure–urbanization system in each city of the BTH area. The findings reveal that the coupling degree of the BTH system is gradually increasing, and that the development level of the BTH subsystem is unbalanced: the coupling coordination level of BTH shows a positive evolution process; however, it is in a stage of low-level collaborative development, and there are obvious differences in the level of BTH coupling coordination in space, revealing the convergence of low–high and high–low types. This paper concludes by putting forward the strategy of optimizing the regional spatial pattern of urban agglomeration and implementing integrated development in order to achieve the desired coupling and coordination effects.

scholarly journals Research on the public sports service efficiency and spatial-temporal evolution in China

2021 ◽  
Author(s):  
JIAO LINYAN ◽  
QIAO ZIWEI ◽  
MI SIMENG ◽  
Jung Woo Jin
Keyword(s):  
Spatial Data ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Data Envelopment ◽  
Input Output ◽  
Super Efficiency ◽  
The Public ◽  
Output Efficiency ◽  
The Difference

<p>Taking 31 provinces as the research object, this paper constructed the input-output efficiency evaluation index system of public sports service in China. The paper evaluated the input-output efficiency level and spatial-temporal pattern of public sports services using the methods of data envelopment analysis and exploratory spatial data analysis. The results show that: (1) The average comprehensive super-efficiency value of public sports service in 2016 was higher than that in 2008, and the provinces with the comprehensive super-efficiency value greater than 1 increased, but the difference between provinces in 2016 was more obvious. (2) Compared with 2008, the efficiency distribution of public sports service in 2016 is more balanced among the three regions, the difference between the eastern region and the central region is reduced. (3) The efficiency of public sports service has different spatial correlation in the geographical spatial distribution, and this correlation shows the reverse in the two measurements.</p>

An UML Profile and SOLAP Datacubes Multidimensional Schemas Transformation Process for Datacubes Risk-Aware Design

2015 ◽  
Vol 11 (4) ◽  
pp. 64-83 ◽  
Author(s):  
Elodie Edoh-Alove ◽  
Sandro Bimonte ◽  
François Pinet
Keyword(s):  
Spatial Data ◽  
New Technologies ◽  
Design Method ◽  
Transformation Process ◽  
Spatial Data Analysis ◽  
Uml Profile ◽  
Previous Proposal ◽  
On Line ◽  
Definition Of ◽  
Spatial Vagueness

Spatial Data Warehouses (SDWs) and Spatial On-Line Analytical Processing (SOLAP) systems are new technologies for the integration and the analysis of huge volume of data with spatial reference. Spatial vagueness is often neglected in these types of systems and the data and analysis results are considered reliable. In a previous work, the authors provided a new design method for SOLAP datacubes that allows the handling of vague spatial data analysis issues. The method consists of tailoring SOLAP datacubes schemas to end-users tolerance levels to identified potential risks of misinterpretation they encounter when exploiting datacubes containing vague spatial data. It this paper, the authors further their previous proposal by presenting different formal tools to support their method: it is an UML profile providing stereotypes needed to add vague, risks and tolerance levels information on datacubes schemas plus the formal definition of SOLAP datacubes schemas transformation process and functions.

scholarly journals Evaluation and Policy Research on the Sustainable Development of China’s Rare Earth Resources

2018 ◽  
Vol 10 (10) ◽  
pp. 3792 ◽  
Author(s):  
Xuedong Liang ◽  
Meng Ye ◽  
Li Yang ◽  
Wanbing Fu ◽  
Zhi Li
Keyword(s):  
Sustainable Development ◽  
Rare Earth ◽  
Environmental Protection ◽  
Technological Innovation ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Protection System ◽  
Social Progress ◽  
The Sustainable Development ◽  
Low Efficiency

As rare earth resources are indispensable raw materials for modern society, they have become strategic global reserve resources. Even though China is the world’s largest producer and exporter of rare earth, the industry has low efficiency and severe problems with over-exploitation and environmental pollution; therefore, there needs to be a greater focus on the sustainable exploitation of rare earth resources. This paper establishes an innovative evaluation index system for the sustainable development of China’s rare earth resources from six main aspects; economic development, social progress, environmental protection, technological innovation, rare earth development and utilization, and rare earth protection in which the indicators are assessed using an entropy method. Grey correlation analysis was used to evaluate China’s rare earth sustainable development level from 2006–2016, from which it was found that sustainable development was poor from 2006–2010 and marginally better from 2011–2016. The main factor affecting rare earth sustainable development in China was found to be the lag in the development of environment protection system and rare earth protection system. Policy recommendations for improving China’s rare earth protection, environmental protection, and technological innovation are proposed to guide government regulations and assist rare earth industry personnel.

scholarly journals Measurement and Path Selection of Rural Development Level in Enclave Areas: A Case Study of Jingyuan County, Gansu Province

2021 ◽  
Vol 13 (17) ◽  
pp. 9904
Author(s):  
Jianwu Qi ◽  
Wei Li ◽  
Zongxiang Wang ◽  
Haozhou Fang
Keyword(s):  
Sustainable Development ◽  
Rural Development ◽  
Spatial Data ◽  
Rural Areas ◽  
Path Selection ◽  
Gansu Province ◽  
Spatial Data Analysis ◽  
Development Level ◽  
Resource Endowment ◽  
Urban And Rural Areas

The development of rural areas is a significant component in social and economic activities. It is very important for optimizing the allocation of rural production and living factors, promoting the integration of urban and rural areas and sustainable development to identify the characteristics and main types of regional rural development. In this paper, 169 villages in Jingyuan County were selected as the research object, and the evaluation index system of rural development level was constructed from the perspective of “Factor-structure-function”. The rural development level and spatial structure characteristics of Jingyuan County were analyzed by using rural development index, regional function index, nearest neighbor index, and exploratory spatial data analysis, and the types and specific paths of rural development were determined. The results showed the following: Rural development of Jingyuan County is at a low level, which is characterized by “high in the south and low in the north”. The level of rural development shows significant spatial dependence in the global space, and the spatial agglomeration characteristics are obvious, which are manifested as strong agglomeration dominated by resource endowment and cultural function and weak agglomeration dominated by production function and location relationship. The local space is characterized by stable high value and high value (H-H), low value and low value (L-L) bidirectional agglomeration. According to the spatial characteristics of the rural development level, the “4 + 10 + 6 + 2” system of rural development type identification in Jingyuan County was constructed, and finally it was determined that policy leading and characteristic protection are the dominant types of rural development. Based on this, this paper put forward specific paths and development models of different types of rural development in Jingyuan County from seven dimensions: industry, population, land, tourism, space, culture and ecology, so as to provide ideas and references for the integration of urban and rural areas, the implementation of rural revitalization strategy, and sustainable development in the western poverty-stricken areas.

scholarly journals Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration

2020 ◽  
Vol 12 (1) ◽  
pp. 357 ◽  
Author(s):  
Huilian Han ◽  
Hui Li
Keyword(s):  
Rural Areas ◽  
Industrial Structure ◽  
Urban Agglomeration ◽  
Evaluation Index System ◽  
Quality Level ◽  
Main Function ◽  
Entropy Weight ◽  
High Level ◽  
Land Urbanization ◽  
Coordination Degree

As the major form of urbanization, urban agglomeration integrates urban resources, adjusts industrial structure, narrows the gap between urban and rural areas, enhances urban function, strengthens urban competitiveness, and promotes the strategy of regional sustainable development. Based on the panel data of 10 cities in Ha-Chang urban agglomeration from 2000 to 2014, this paper establishes an evaluation index-system of population and land urbanization quality level, and analyzes the coordination degree, spatial heterogeneity, and spatiotemporal evolution of urbanization, through using the methods of range standardization, entropy weight model, and coupling coordination models. Results show that the quality of population and land urbanization was increasing gradually during the study period. However, the coordination degree between population and land urbanization rate is decreasing. The comprehensive level of population and land urbanization increasing yearly, from low-level coupling coordination reverse to high-level coupling stage. The quality differences between the population and land urbanization of the ten cities of the Ha-Chang urban agglomeration are significant. The radiation function of large-sized cities and the regulation of medium-sized cities are not strong, and the coordination degree of small-sized cities is low. In view of the coordinated status of the Ha-Chang urban agglomeration, differently size cities should propose corresponding urbanization development strategies to enhance the main function of the urban agglomeration.

scholarly journals The Spatiotemporal Dynamics and Socioeconomic Factors of SO2 Emissions in China: A Dynamic Spatial Econometric Design

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 534 ◽  
Author(s):  
Zhimin Zhou
Keyword(s):  
Spatial Data ◽  
Industrial Structure ◽  
Spatial Data Analysis ◽  
Spatial Effects ◽  
So2 Emissions ◽  
Socioeconomic Determinants ◽  
Long Run ◽  
Short Run ◽  
Spatial Panel Data ◽  
Adverse Influence

With the great strides of China’s economic development, air pollution has become the norm that is a cause of broad adverse influence in society. The spatiotemporal patterns of sulfur dioxide (SO2) emissions are a prerequisite and an inherent characteristic for SO2 emissions to peak in China. By exploratory spatial data analysis (ESDA) and econometric approaches, this study explores the spatiotemporal characteristics of SO2 emissions and reveals how the socioeconomic determinants influence the emissions in China’s 30 provinces from 1995 to 2015. The study first identifies the overall space- and time-trend of regional SO2 emissions and then visualizes the spatiotemporal nexus between SO2 emissions and socioeconomic determinants through the ESDA method. The determinants’ impacts on the space–time variation of emissions are also confirmed and quantified through the dynamic spatial panel data model that controls for both spatial and temporal dependence, thus enabling the analysis to distinguish between the determinants’ long- and short-term spatial effects and leading to richer and novel empirical findings. The study emphasizes close spatiotemporal relationships between SO2 emissions and the socioeconomic determinants. China’s SO2 emissions variation is the multifaceted result of urbanization, foreign direct investment, industrial structure change, technological progress, and population in the short run, and it is highlighted that, in the long run, the emissions are profoundly affected by industrial structure and technology.

scholarly journals Research on the public sports service efficiency and spatial-temporal evolution in China

2021 ◽  
Author(s):  
JIAO LINYAN ◽  
QIAO ZIWEI ◽  
MI SIMENG ◽  
Jung Woo Jin
Keyword(s):  
Spatial Data ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Data Envelopment ◽  
Input Output ◽  
Super Efficiency ◽  
The Public ◽  
Output Efficiency ◽  
The Difference

<p>Taking 31 provinces as the research object, this paper constructed the input-output efficiency evaluation index system of public sports service in China. The paper evaluated the input-output efficiency level and spatial-temporal pattern of public sports services using the methods of data envelopment analysis and exploratory spatial data analysis. The results show that: (1) The average comprehensive super-efficiency value of public sports service in 2016 was higher than that in 2008, and the provinces with the comprehensive super-efficiency value greater than 1 increased, but the difference between provinces in 2016 was more obvious. (2) Compared with 2008, the efficiency distribution of public sports service in 2016 is more balanced among the three regions, the difference between the eastern region and the central region is reduced. (3) The efficiency of public sports service has different spatial correlation in the geographical spatial distribution, and this correlation shows the reverse in the two measurements.</p>

Research on the Public Sports Service Efficiency and Spatial-Temporal Evolution in China

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110566
Author(s):  
Linyan Jiao ◽  
Ziwei Qiao ◽  
Simeng Mi ◽  
WooJin Jung
Keyword(s):  
Spatial Data ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Data Envelopment ◽  
Input Output ◽  
Super Efficiency ◽  
The Public ◽  
Output Efficiency ◽  
The Difference

Taking 31 provinces as the research object, this paper constructed the input-output efficiency evaluation index system of public sports service in China. The paper evaluated the input-output efficiency level and spatial-temporal pattern of public sports services using the methods of data envelopment analysis and exploratory spatial data analysis. The results show that: (1) The average comprehensive super-efficiency value of public sports service in 2016 was higher than that in 2008, and the provinces with the comprehensive super-efficiency value greater than 1 increased, but the difference between provinces in 2016 was more obvious. (2) Compared with 2008, the efficiency distribution of public sports service in 2016 is more balanced among the three regions, the difference between the eastern region and the central region is reduced. (3) The efficiency of public sports service has different spatial correlation in the geographical spatial distribution, and this correlation shows the reverse in the two measurements.

scholarly journals Coupling coordination of industrial parks and industrial clusters in Hexi Corridor and their spatial correlation analysis

2021 ◽  
Vol 235 ◽  
pp. 02025
Author(s):  
Rui Lyu ◽  
Zhiqiang Liu
Keyword(s):  
Spatial Correlation ◽  
Spatial Data ◽  
Industrial Clusters ◽  
Hexi Corridor ◽  
Evaluation Index System ◽  
Spatial Data Analysis ◽  
Regional Innovation ◽  
Coordinated Development ◽  
Coordination Model ◽  
Industrial Parks

With Hexi Corridor as the study case, this study established an evaluation index system for the development of the industrial parks and industrial clusters, and used the coupling coordination model and exploratory spatial data analysis method (ESDA) to explore the evolution and spatial correlation of the coupling coordination between the industrial park and industrial clusters in Hexi Corridor from 2005 to 2017. It is found that from 2005 to 2017, the industrial parks and industrial clusters has shown closer correlations; despite the high level of coordination, the degree of coupling remains low; the Hexi Corridor has not yet developed a growth engine for the coordinated development of the industrial parks and the clusters, and there is no county-level industrial entities that have strong stimulating power. Given the requirements of the current industrial agglomeration model for regional innovation capabilities, this study proposes suggestions for coordinated development of industrial parks and industrial clusters in Hexi Corridor.

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