scholarly journals Research on the Spatial Spillover Effect of Provincial Final Consumption Level in China Based on the Complex Network

2022 ◽  
Vol 14 (2) ◽  
pp. 648
Author(s):  
Qing Wei ◽  
Chuansheng Wang ◽  
Cuiyou Yao ◽  
Fulei Shi ◽  
Haiqing Cao ◽  
...  
Keyword(s):  
Complex Network ◽  
Mutual Influence ◽  
Spillover Effect ◽  
Causality Test ◽  
Spatial Spillover ◽  
Consumption Level ◽  
Second Stage ◽  
Using Data ◽  
Reform And Opening Up ◽  
Relationship Of

A spatial spillover correlation network is an excellent representation for expressing the relationship of consumption levels among regions, which provides a way to study the evolution mechanism of the spatial influence of the consumption level. Using data on the consumption levels of 29 provinces (or municipalities or autonomous regions) during the global stage (1978–2020) and two separated stages (1978–2001 and 2002–2020) after China’s reform and opening up, this paper analyzes the topological characteristics and driving factors of provincial residents’ consumption level spatial spillover network by applying the Granger causality test of Vector Autoregression (VAR) model and a complex network analysis method. The results show that the number of spatial spillover relationships of provincial residents’ consumption level in the second stage increases significantly in comparison with that in the first stage and the scope of mutual influence among provinces increases rapidly in the second stage; that eastern coastal regions play a net spillover role in the network and some central and western provinces play an increasingly important broker role; and that the members of the network compose four communities with different gradients, with Beijing, Shanghai, and Jiangsu in the leading positions. The network shows neighborhood spillover and club convergence, and these characteristics are more evident in the second stage; moreover, spatial adjacency, residents’ disposable income, urbanization level, consumer credit, and consumption environment similarity have significant driving effects on the spillover correlation of the consumption level.

scholarly journals Relationship of Foreign Trade and Economic Growth in Eurasian Economy: Panel Data Analysis

2017 ◽  
Vol 9 (9) ◽  
pp. 1 ◽  
Author(s):  
Nazife Özge Kilic ◽  
Murat Beser
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Foreign Trade ◽  
Panel Data Analysis ◽  
Homogeneity Test ◽  
Causality Test ◽  
Cross Sectional ◽  
Using Data ◽  
Relationship Of

In this study, relationship between foreign trade and economic growth had been examined for the countries of Eurasia Economic Union by using data in era of 1992-2015 with the help of panel data analysis. First of all, cross-sectional dependency and homogeneity test had been done in the study and it had been concluded that there is cross-sectional dependency in between the series. For this purpose, unit root and causality test considering the cross-sectional dependency had been applied. Relationship between the variables had been analyzed with the panel causality test developed by Konya (2006). It had been determined that there is bi-directional causality from growth to export and unidirectional causality from growth to import.

scholarly journals The Spatial Effect of Administrative Division on Land-Use Intensity

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 543
Author(s):  
Pengrui Wang ◽  
Chen Zeng ◽  
Yan Song ◽  
Long Guo ◽  
Wenping Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Spillover Effect ◽  
County Level ◽  
Land Use Intensity ◽  
Spatial Interactions ◽  
Spatial Spillover ◽  
Administrative Division ◽  
Administrative Units ◽  
Relationship Of ◽  
Spatial Spillover Effect

Land-use intensity (LUI) is one of the most direct manifestations of regional land use efficiency. The study of cross-administrative LUI in urban agglomerations is of great importance for the sustainable development of land, new urbanization, and territorial spatial planning. In this study, the urban agglomeration in the middle reaches of the Yangtze River in China was used as the case study area to explore the spatial spillover effect through the administrative division, underlying driving mechanism, and spatial interactions or constraints of LUI. First, LUI was measured using the index of the proportion of construction land to the total area of the administrative region. Second, the adjacency relationship of the county-level administrative units was identified on the basis of the queen-type adjacency criterion under the county-level administrative division system. Thereafter, spatial weight matrix for spatial modeling was constructed. Last, a spatial model using the “Spatial adjacency matrix” was devised to examine the influencing factors and the potential spatial interactions or constraints of administrative units. Results revealed that the level of LUI of different county-level administrative units were quite different, and the gap of LUI among county-level administrative units widened from 2010 to 2017. The fixed asset investment per land (FAIL), gross domestic product per capital (PGDP), and proportion of tertiary sector (PTS) are the driving factors of LUI. County-level administrative units not only had a significant and increasing spatial interaction effect based on the relationship of cooperation, but also had an influence of restraint mutually which was caused by the competition. The direct spatial spillover effect was remarkable. In the future, the effect of interaction among administrative units under the administrative division should be considered to promote the reasonable use and optimal layout of regional urban land to realize the optimal allocation of land resources.

Rereading Klein’s “Some reflections on ‘The Oresteia’ ”—the evolution of the mother–daughter relationship in four generations of Chinese women

2020 ◽  
Vol 3 (1) ◽  
pp. 50-59
Author(s):  
Xu Jianqin
Keyword(s):  
Mutual Influence ◽  
Chinese Women ◽  
Chinese History ◽  
Developmental Context ◽  
Child Relationship ◽  
Mother Daughter Relationship ◽  
Foot Binding ◽  
Mother Child Relationship ◽  
Reform And Opening Up ◽  
Opening Up

This article analyses the evolution of the mother–daughter relationship in China, and describes the mothering characteristics of four generations of women, which in sequence includes “foot-binding mothers”, “mothers after liberation”, “mothers after reform and opening up”, and “mothers who were only daughters”. Referring to Klein’s ideas about the mother–child relationship, especially those in her paper “Some reflections on ‘The Oresteia’ ”, the author tries to understand mothers and their impact on their daughters in these various periods of Chinese history, so as to explore the mutual influence of the mother–daughter relationship in particular, and the Chinese cultural and developmental context in general.

Effects of the CMS’ Public Reporting Program for Inpatient Psychiatric Facilities on Targeted and Nontargeted Safety: Differences Between For-Profits and Nonprofits

2021 ◽  
pp. 107755872199892
Author(s):  
Morgan C. Shields
Keyword(s):  
Spillover Effect ◽  
Public Reporting ◽  
Unintended Consequences ◽  
Psychiatric Facility ◽  
Quality Reporting ◽  
Performance Reporting ◽  
Reporting Programs ◽  
Using Data ◽  
Inpatient Psychiatric Facility ◽  
Psychiatric Facilities

The Centers for Medicare and Medicaid Services implemented the Inpatient Psychiatric Facility Quality Reporting Program in 2012, which publicly reports facilities’ performance on restraint and seclusion (R-S) measures. Using data from Massachusetts, we examined whether nonprofits and for-profits responded differently to the program on targeted indicators, and if the program had a differential spillover effect on nontargeted indicators of quality by ownership. Episodes of R-S (targeted), complaints (nontargeted), and discharges were obtained for 2008-2017 through public records requests to the Commonwealth of Massachusetts. Using difference-in-differences estimators, we found no differential changes in R-S between for-profits and nonprofits. However, for-profits had larger increases in overall complaints, safety-related complaints, abuse-related complaints, and R-S-related complaints compared with nonprofits. This is the first study to examine the effects of a national public reporting program among psychiatric facilities on nontargeted measures. Researchers and policymakers should further scrutinize intended and unintended consequences of performance-reporting programs.

Effects of tourism development on economic growth: An empirical study of China based on both static and dynamic spatial Durbin models

2021 ◽  
pp. 135481662110211
Author(s):  
Honghong Liu ◽  
Ye Xiao ◽  
Bin Wang ◽  
Dianting Wu
Keyword(s):  
Economic Growth ◽  
Spillover Effect ◽  
Tourism Development ◽  
Spillover Effects ◽  
Policy Implications ◽  
Long Term Effects ◽  
Spatial Spillover ◽  
Domestic Tourism ◽  
Inbound Tourism ◽  
Spatial Spillover Effect

This study applies the dynamic spatial Durbin model (SDM) to explore the direct and spillover effects of tourism development on economic growth from the perspective of domestic and inbound tourism. The results are compared with those from the static SDM. The results support the tourism-led-economic-growth hypothesis in China. Specifically, domestic tourism and inbound tourism play a significant role in stimulating local economic growth. However, the spatial spillover effect is limited to domestic tourism, and the spatial spillover effect of inbound tourism is not significant. Furthermore, the long-term effects are much greater than the short-term impact for both domestic and inbound tourism. Plausible explanations of these results are provided and policy implications are drawn.

scholarly journals Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao
Keyword(s):  
Influencing Factors ◽  
Information Flow ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
Search Index ◽  
Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

scholarly journals Derivation and Performance of Standardized Enhanced Liver Fibrosis (ELF) Test Thresholds for the Detection and Prognosis of Liver Fibrosis

2019 ◽  
Vol 3 (5) ◽  
pp. 815-826 ◽  
Author(s):  
James Day ◽  
Preya Patel ◽  
Julie Parkes ◽  
William Rosenberg
Keyword(s):  
Liver Fibrosis ◽  
Delphi Panel ◽  
Test Results ◽  
Hazard Ratios ◽  
Test Thresholds ◽  
And Performance ◽  
Using Data ◽  
Relationship Of ◽  
The Relationship ◽  
Selection Of

Abstract Introduction Noninvasive tests are increasingly used to assess liver fibrosis and determine prognosis but suggested test thresholds vary. We describe the selection of standardized thresholds for the Enhanced Liver Fibrosis (ELF) test for the detection of liver fibrosis and for prognostication in chronic liver disease. Methods A Delphi method was used to identify thresholds for the ELF test to predict histological liver fibrosis stages, including cirrhosis, using data derived from 921 patients in the EUROGOLF cohort. These thresholds were then used to determine the prognostic performance of ELF in a subset of 457 patients followed for a mean of 5 years. Results The Delphi panel selected sensitivity of 85% for the detection of fibrosis and >95% specificity for cirrhosis. The corresponding thresholds were 7.7, 9.8, and 11.3. Eighty-five percent of patients with mild or worse fibrosis had an ELF score ≥7.7. The sensitivity for cirrhosis of ELF ≥9.8 was 76%. ELF ≥11.3 was 97% specific for cirrhosis. ELF scores show a near-linear relationship with Ishak fibrosis stages. Relative to the <7.7 group, the hazard ratios for a liver-related outcome at 5 years were 21.00 (95% CI, 2.68–164.65) and 71.04 (95% CI, 9.4–536.7) in the 9.8 to <11.3 and ≥11.3 subgroups, respectively. Conclusion The selection of standard thresholds for detection and prognosis of liver fibrosis is described and their performance reported. These thresholds should prove useful in both interpreting and explaining test results and when considering the relationship of ELF score to Ishak stage in the context of monitoring.

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