General and specific spatial autocorrelation: Insights from country-level analysis of species imperilment

2007 ◽  
Vol 61 (1) ◽  
pp. 75-80 ◽  
Author(s):  
Ram Pandit ◽  
David N. Laband
Keyword(s):  
Spatial Autocorrelation ◽  
Country Level ◽  
Level Analysis

Central and Eastern European states in global production linkages: country-level and sector-level analysis

2017 ◽  
pp. 38-60 ◽  
Author(s):  
Ewa Cieślik
Keyword(s):  
Global Value Chains ◽  
Jel Classification ◽  
European Countries ◽  
Value Chains ◽  
Eastern European ◽  
Large Share ◽  
Country Level ◽  
Western European ◽  
Eastern European Countries ◽  
Level Analysis

The paper evaluates Central and Eastern European countries’ (CEEs) location in global vertical specialization (global value chains, GVCs). To locate each country in global value chains (upstream or downstream segment/market) and to compare them with the selected countries, a very selective methodology was adopted. We concluded that (a) CEE countries differ in the levels of their participation in production linkages. Countries that have stronger links with Western European countries, especially with Germany, are more integrated; (b) a large share of the CEE countries’ gross exports passes through Western European GVCs; (c) most exporters in Central and Eastern Europe are positioned in the downstream segments of production rather than in the upstream markets. JEL classification: F14, F15.

scholarly journals Worldwide distribution, associated factors, and trends of gallbladder cancer: A global country-level analysis

2021 ◽  
Vol 521 ◽  
pp. 238-251
Author(s):  
Junjie Huang ◽  
Harsh K. Patel ◽  
Daniel Boakye ◽  
Viveksandeep Thoguluva Chandrasekar ◽  
Anastasios Koulaouzidis ◽  
...  
Keyword(s):  
Gallbladder Cancer ◽  
Associated Factors ◽  
Country Level ◽  
Worldwide Distribution ◽  
Level Analysis

Assessing the risk associated with the presence of emerging organic contaminants in sludge-amended soil: A country-level analysis

2016 ◽  
Vol 548-549 ◽  
pp. 280-288 ◽  
Author(s):  
Vasiliki S. Thomaidi ◽  
Athanasios S. Stasinakis ◽  
Viola L. Borova ◽  
Nikolaos S. Thomaidis
Keyword(s):  
Organic Contaminants ◽  
Country Level ◽  
Emerging Organic Contaminants ◽  
Level Analysis ◽  
Amended Soil

Groundwater Level Analysis Using Regional Kendall Test for Trend with Spatial Autocorrelation

Ground Water ◽  
2018 ◽  
Vol 57 (2) ◽  
pp. 320-328 ◽  
Author(s):  
Chuanglin Fang ◽  
Siao Sun ◽  
Shaofeng Jia ◽  
Yuanyuan Li
Keyword(s):  
Spatial Autocorrelation ◽  
Groundwater Level ◽  
Kendall Test ◽  
Level Analysis

Explaining the visibility of EU citizens: a multi-level analysis of European Union news

2015 ◽  
Vol 9 (2) ◽  
pp. 233-253 ◽  
Author(s):  
Stefanie Walter
Keyword(s):  
European Union ◽  
Large Scale ◽  
European Parliament ◽  
Eu Member States ◽  
Country Level ◽  
The Media ◽  
Multi Level ◽  
Different Levels ◽  
Level Analysis ◽  
The Eu

This article analyses the visibility of European Union (EU) citizens in EU news during the 2009 European Parliament election. It argues that the presence of EU citizens in EU news is vital for responsiveness of European governance. First, the theoretical notion of EU citizens is considered. Next, a new way of defining EU citizens is proposed: EU citizens are divided into national and supranational EU citizens. The visibility of EU citizens in EU news of 27 EU member states is analysed aiming to explain cross-country differences. The paper is based on a large-scale content analysis of TV and newspaper articles gathered during the 2009 European Parliament election. To explain different levels of visibility, a multi-level analysis is carried out. The results suggest that EU citizens are visible in the EU news, yet, their presence strongly varies across countries. The findings indicate that explanations for different levels of visibility can be found at both the media and country level.

Income inequality and Neisseria gonorrhoeae notifications in females: a country-level analysis

Sexual Health ◽  
2014 ◽  
Vol 11 (6) ◽  
pp. 556 ◽  
Author(s):  
Amie L. Bingham ◽  
Anne M. Kavanagh ◽  
Christopher Kit Fairley ◽  
Louise A. Keogh ◽  
Rebecca J. Bentley ◽  
...  
Keyword(s):  
Income Inequality ◽  
Neisseria Gonorrhoeae ◽  
Social Determinants ◽  
Capita Gross Domestic Product ◽  
Female Population ◽  
Gini Coefficients ◽  
Country Level ◽  
Estimation Equations ◽  
Sexually Transmissible Infections ◽  
Level Analysis

Background Patterns of population susceptibility to sexually transmissible infections may be influenced by various social determinants of health, however these receive relatively little attention. Income inequality is one such determinant that has been linked to a number of poor health outcomes. The objective of this analysis was to determine whether there is an association between income inequality and Neisseria gonorrhoeae notification rates when measured at the country level. Methods: Gini coefficients, gonorrhoea notification rates among women, per capita gross domestic product and approximate size of female population were obtained for 11 countries of the OECD. Linear regression was used to measure the association between income inequality and gonorrhoea notification rates, using generalised estimation equations (GEE) to control for the non-independence of repeat measures from particular countries. Results: A total of 36 observations from 11 countries were included. Gini coefficients ranged from 0.21 to 0.38 and gonorrhoea notifications from 0.7 to 153 per 100000 females. Significant associations were found between country-level income inequality and gonorrhoea notification rates among women (b = 17.79 (95% CI: 10.64, 24.94, P < 0.01). Conclusions: Significant associations were found, highlighting the importance of acknowledging and accounting for social determinants of sexual health and suggesting that further research in this arena may be fruitful.

Sign in / Sign up

Export Citation Format

Share Document