scholarly journals Smart and IoT-Based Coupling and Coordination Development for Financial and Logistics Industries

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ji-you Li ◽  
Qi-qing Zhou ◽  
Pan-pan Yin
Keyword(s):  
Spatial Data ◽  
Driving Forces ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Spatial Data Analysis ◽  
Theil Index ◽  
Eastern Region ◽  
Coordinated Development ◽  
The Republic ◽  
Total Difference

Based on the panel data, collected through various Internet of Things (IoT) devices, of 31 various provinces and cities in the Republic of China from 2004 to 2019, due to the analysis of mechanism and the significance of coupled and coordinated development, methods like fuzzy comprehensive evaluation, entropy, coupling, and coordination degree model, exploratory spatial data analysis, and Theil index are widely used to analytically evaluate the dynamic coupling development of China’s financial and logistics industries. The analysis of the collected data shows that demand promotion, technological progress, corporate decision-making, and policy stimulus are the driving forces for the coordinated development. In addition, the coordinated development of both industries can achieve a win-win situation. Moreover, during the sample period, the level of coupled and coordinated development has made considerable progress, achieving a transition from moderate to slightly unbalanced level, but overall, it is still at a low level. The level of coupled and coordinated development is showing east-central-west, that is, a three-level declining trend. Guangdong is the province with the highest level, and Qinghai and Ningxia are the provinces with the lowest levels of coupled and coordinated development. The general evolution trend of the total difference in the levels of coupled and coordinated development is declining in fluctuation, and the differences in the eastern region and within the zones are the main reasons for the total difference.

scholarly journals Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

2021 ◽  
Vol 18 (3) ◽  
pp. 1056
Author(s):  
Yu Chen ◽  
Mengke Zhu ◽  
Qian Zhou ◽  
Yurong Qiao
Keyword(s):  
Spatial Heterogeneity ◽  
Spatial Correlation ◽  
Spatial Data ◽  
Central Area ◽  
Urban System ◽  
Entropy Method ◽  
Driving Factors ◽  
Spatial Data Analysis ◽  
Eastern Region ◽  
Urban Resilience

Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.

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>

scholarly journals Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

2021 ◽  
Vol 13 (18) ◽  
pp. 10475
Author(s):  
Yuwei He ◽  
Hui Zhang
Keyword(s):  
Regional Differences ◽  
Comprehensive Evaluation ◽  
Temporal Distribution ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Three Dimensions ◽  
Theil Index ◽  
Eastern Region ◽  
Development Mode ◽  
Policy And Strategy

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

scholarly journals Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model

2021 ◽  
Vol 13 (11) ◽  
pp. 6147
Author(s):  
Chun Liu ◽  
Gui-Hua Nie
Keyword(s):  
Panel Data ◽  
Spatial Data ◽  
Driving Forces ◽  
Early Stage ◽  
Spillover Effect ◽  
Spatial Data Analysis ◽  
Ekc Hypothesis ◽  
Stirpat Model ◽  
Spatial Panel Data ◽  
Per Capita

This paper studies the EKC hypothesis and STIRPAT model. Based on the panel data of carbon emission intensity and other influencing factors of 30 provinces in China from 2000 to 2018, the spatial effect of per capita food nitrogen footprint (FNF) and the effect of different socio-economic factors in China were studied by using exploratory spatial data analysis and fixed effect spatial Durbin model for the first time. The results show that: (1) there is a spatial agglomeration effect and a positive spatial dependence relationship in China’s provincial per capita FNF (FNFP), which verifies that the relationship between China’s FNF and economy is in the early stage of EKC hypothesis curve. (2) The driving forces of China’s FNF were explored, including Engel’s coefficient of urban households (ECU), population density (PDEN), urbanization, nitrogen use efficiency (NUE) and technology. (3) The results show that there is a significant spatial spillover effect of FNFP. The ECU and NUE can reduce the regional FNFP, and can slow down the FNFP of surrounding provinces. (4) Policy makers need to formulate food nitrogen emission reduction policies from the food demand side, food consumption side and regional level.

scholarly journals The spatiality and driving forces of population ageing in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0243559
Author(s):  
Lianxia Wu ◽  
Zuyu Huang ◽  
Zehan Pan
Keyword(s):  
Economic Development ◽  
Spatial Data ◽  
Census Data ◽  
Local Economic Development ◽  
Driving Forces ◽  
Population Ageing ◽  
Spatial Data Analysis ◽  
Western China ◽  
Practical Significance ◽  
Driving Mechanism

Studying the spatial characteristics of China’s ageing and its influencing factors is of great practical significance because China has the largest elderly population in the world. Using 2000 and 2010 census data, this study explores the degree, pace, and pattern of population ageing and its driving mechanism using exploratory spatial data analysis and the geographically weighed regression model. Between 2000 and 2010, population ageing increased rapidly countrywide; yet, spatial differences between eastern and western China narrowed. The degree of provincial population ageing and its spatiality were determined by natural population growth, migration, and local economic development. Life expectancy and mortality were the primary long-term factors, and GDP per capita was the prime contributor in the early days of economic development; the migration rate was the dominant influence after 2010. China’s overall spatial differentiation of population ageing shifted from a north–south to an east–west division.

scholarly journals Research on Urban and Rural Coordination Development and Its Driving Force Based on the Space-time Evolvement Taking Guangdong Province as an Example

Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 253
Author(s):  
Daizhong Tang ◽  
Baorui Li ◽  
Yuan Qiu ◽  
Linlin Zhao
Keyword(s):  
Spatial Data ◽  
Driving Forces ◽  
River Estuary ◽  
Principal Component ◽  
Guangdong Province ◽  
Pearl River Estuary ◽  
Space Time ◽  
Spatial Data Analysis ◽  
New Countryside ◽  
Coordination Development

Based on the background of the change in the urban–rural relationship in Guangdong Province, this paper constructs an analysis framework of urban and rural coordination development. Using the data of 19 administrative units above prefecture level in Guangdong Province, this paper studies the space–time evolution of urban and rural coordination development during 2000–2015 through Principal Component Analysis (PCA) and Exploratory Spatial Data Analysis (ESDA) and explores the influencing factors and driving forces behind it. It is found that there is club convergence in the urban and rural coordination development in Guangdong Province. This kind of convergence is reflected in the findings that the east bank of the Pearl River estuary is the best area for the urban and rural coordination development where Guangzhou, Dongguan, Shenzhen is the core and the level of urban and rural coordination development in the east, west and north of Guangdong Province is relatively low, which also reflects a geographical polarization feature. Based on the analysis of the factors that promote the urban and rural coordination development in the main years of 2000–2015, it can be concluded that location, economic development and urbanization level are the most important driving forces, followed by industrial structure. This research can be used as a decision-making reference for urban and rural coordination development and new countryside construction in China in the New Era.

An Analysis on the Differences of Regional Energy Efficiency in China - The Empirical Study Based on Theil Index

2013 ◽  
Vol 830 ◽  
pp. 392-397
Author(s):  
Shi Xiang Zhang ◽  
Ya Dong Ning
Keyword(s):  
Energy Efficiency ◽  
Empirical Study ◽  
Theil Index ◽  
Western Region ◽  
Eastern Region ◽  
Regional Energy ◽  
Region Difference ◽  
Central Regions ◽  
The Difference ◽  
Total Difference

This paper divides Chinas 30 provinces into eastern region, central region and western region, uses the energy intensity as an index to analyze energy efficiency from 1995 to 2010 in China and take the empirical study in regional differences of energy efficiency by Theil index. The results of this research indicate that the total, within-region and between-region difference of energy efficiency are all constantly reducing in China. There is a rapid decrease of the total difference and within-region difference of energy efficiency. The total difference mainly consists of within-regional difference. The within-region differences of energy efficiency in the three regions are not the same. To be specific, the difference in the eastern and central regions decreases, while the difference in the western region is showing some characteristics of fluctuation.

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>

scholarly journals Spatial Database Designing for Environmental Monitoring and Decision Making in Mitrovica Region, The Republic of Kosovo

2021 ◽  
Vol 6 (2) ◽  
pp. 189
Author(s):  
Bashkim Idrizi ◽  
Edon Maliqi ◽  
Lyubka Pashova
Keyword(s):  
Environmental Monitoring ◽  
Open Source ◽  
Spatial Data ◽  
Negative Impact ◽  
Spatial Database ◽  
Spatial Data Analysis ◽  
Anthropogenic Pressure ◽  
Creative Commons ◽  
Mining Areas ◽  
The Republic

The integration of spatial data analysis methods and thematic map models is an approach to reduce the negative impact of anthropogenic pressure on the environment due to mining and waste generation. The large amounts of industrial waste from mining in the Mitrovica region in northern Kosovo lead to serious environmental problems with organic and inorganic water and soil pollution. This study aims to design and establish a geospatial database for long-term environmental monitoring, provide analytical tools, and support appropriate management decisions by local authorities and agencies. The database contains topographical elements and ecological parameters collected from different national and open access international sources. All collected data have been analyzed, standardized and harmonized within the open-source QGIS ver.3 software. The results showed that in developed datasets were organized in different GIS layers and compiled several thematic maps. The designed database is unique by its architecture, providing an opportunity for periodical monitoring of the environment near the mining areas. Keywords: Environmental monitoring; Spatial database; Open source software; QGIS; Kosovo.   Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

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