scholarly journals Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies

2022 ◽  
Vol 14 (2) ◽  
pp. 809
Author(s):  
Xiaowen Wang ◽  
Meiyue Li
Keyword(s):  
Economic Crisis ◽  
Logistic Regression Model ◽  
Multilevel Logistic Regression ◽  
External Shocks ◽  
Economic Resilience ◽  
Regional Economic ◽  
The World ◽  
Regional Performance ◽  
The Government ◽  
Multilevel Logistic Regression Model

The severity of the 2007–2008 economic crisis and the spatial heterogeneity of its impact have accelerated the study of regional economic resilience. The economic crisis has affected most parts of the world, and its impact is highly heterogeneous within China. The aim of this study was to explore the determinants of regional economic resilience across 284 Chinese cities from 2003–2018. Both nation-based and province-based regional economic resilience were examined. A multilevel logistic regression model was established, finding a disparity of provincial effects on regional performance during the economic crisis. Regional economic resilience is significantly affected by provincial trajectories, economy size, and resources. There are five significant determinants of economic resilience: income inequality, innovation, government intervention, human capital, and financial development. The results provide evidence for the government to design region-based policies, taking into consideration the size and the resources of the region’s economy to build a resilient wall to defend against external shocks and to form a basis for sustainable development.

Coronavirus economic crisis in the world economy: features and consequences

2020 ◽  
pp. 7-21
Author(s):  
R. Khasbulatov ◽  
A. Byasharova
Keyword(s):  
Economic Crisis ◽  
World Economy ◽  
The World ◽  
The Government

The article reveals the features of a qualitatively new global coronavirus-economic crisis as well as its dangerous consequences for all countries with no exceptions. Not one single country stays aloof from this crisis. The reaction of the government, their mitigation activities is also discussed in the article.

Household means of transportation and place of child delivery in Nigeria

2020 ◽  
Author(s):  
Lukman Bola Solanke ◽  
Omolayo Bukola Oluwatope ◽  
Yinusa Rasheed Adebayo ◽  
Olaoye James Oyeleye ◽  
Benjamin Bukky Ilesanmi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Logistic Regression Model ◽  
Institutional Delivery ◽  
Multilevel Logistic Regression ◽  
Place Of Delivery ◽  
Pooled Data ◽  
Support Programme ◽  
Mode Of Transport ◽  
Multilevel Logistic Regression Model

Abstract Background The means of transportation available to pregnant women in households may serve either as a driver or deterrent of institutional delivery. However, how household means of transportation associates with place of delivery has been less explored in Nigeria. Methods This study was based on pooled data of 2008-2013 Nigeria Demographic and Health Survey. The study analysed a weighted sample size of 6,540 women. The multilevel logistic regression model was applied using STATA 14. Results The study revealed 37% institutional delivery among women in Nigeria. Women whose household mode of transport were cars were twice more likely to have institutional delivery compared to women who had no viable household means of transportation (AOR=2.044, p<0.01; CI=1.781-2.345). Women who live in communities with high proportions of households with no means of transportation were 12.8% less likely to have institutional delivery (AOR=0.872, p=0.01; CI: 0.788-0.967). Women who live in communities with high proportions of household who owned motorcycle compared to those in communities with low proportion were 31.9% more likely to have institutional delivery (AOR=1.319, p<0.05; CI: 1.071-1.625). Women who live in communities with high proportions of households who owned cars compared to those in communities with low proportion were more than three times more likely to have institutional delivery (AOR=3.146, p<0.01; CI: 2.621-3.777).Conclusion Means of transportation significantly explains choice of place of child delivery in urban Nigeria. A public-private transport support programme to reduce transportation burden among pregnant women is imperative in the country.

PROJECT MANAGEMENT AS AN INSTRUMENT OF STRATEGIC DEVELOPMENT OF THE RUSSIAN FEDERATION

2020 ◽  
pp. 73-86
Author(s):  
Y.I. Molotkov ◽  
Keyword(s):  
Economic Crisis ◽  
Strategic Development ◽  
Progressive Development ◽  
Production And Consumption ◽  
The World ◽  
World Economic ◽  
Scientific Technical ◽  
The Government ◽  
Economic Ties ◽  
World Economic Crisis

The world economic crisis of 2009, subsequent events of economic stagnation and overcoming the crisis of European countries, America and Russia showed that even stably carrying out scientific, technical and economic progressive development of the country fall into a wave crisis process. This process is primarily associated with production and consumption. In Russia, it was aggravated by a deep severance of economic ties, for example, due to a power crisis in Ukraine, as well as the adoption of US and EU sanctions. The result of the economic crisis is an increase in poverty in Russia. The article describes the current problems and tools for the implementation of documents adopted by the president and the government of the program-project strategic development of the state for the period up to 2024, which should ensure the socio-economic development of the population and the country, and are also included in the top 5 economies of the world.

scholarly journals Individual and community level factors associated with anemia among children 6—59 months of age in Ethiopia: A further analysis of 2016 Ethiopia demographic and health survey

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241720
Author(s):  
Menaseb Gebrehaweria Gebremeskel ◽  
Afework Mulugeta ◽  
Abate Bekele ◽  
Lire Lemma ◽  
Muzey Gebremichael ◽  
...  
Keyword(s):  
Health Survey ◽  
Logistic Regression Model ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Factors Associated ◽  
Dire Dawa ◽  
Poverty Status ◽  
The Individual ◽  
Multilevel Logistic Regression Model

Background Anemia is a global public health problem; but its burden is disproportionately borne among children in the African Regions. The 2016 Ethiopia Demographic and Health Survey report showed that the prevalence of anemia among children 6–59 months of age was 57%; far exceeding the national target of 25% set for 2015. Although studies have been conducted in Ethiopia, multilevel analysis has rarely been used to identify factors associated with anemia among children. Therefore, this study aimed to identify individual and community-level factors associated with anemia among children 6–59 months of age by fitting a multilevel logistic regression model. Methods The data was obtained from the 2016 Ethiopia Demographic and Health Survey, conducted from January to June 2016, and downloaded from the website http://www.DHSprogram.com. The sample was taken using two-stage stratified sampling. In stage one, 645 Enumeration Areas and in stage two 28 households per Enumeration Area were selected. A sample of 7790 children 6–59 months of age was included. Data were analyzed using STATA version 14. A multilevel logistic regression model was fitted and an adjusted odds ratio with a 95% confidence interval was obtained. Result From the individual-level factors, anemia was associated most strongly with child age, wealth index, maternal anemia and child stunting followed by child underweight, child fever and birth order whereas from the community-level, the strongest odds of anemia occurred among children from Somali, Harari, Dire Dawa and Afar region followed by Oromia and Addis Ababa. Low community-poverty is a protective factor for anemia. The odds of anemia were 0.81 (95% CI: 0.66, 0.99) times lower for children who were living in communities of lower poverty status than children who were living in communities of higher poverty status. Children from Somali and Dire Dawa had 3.38 (95% CI: 3.25, 5.07) and 2.22 (95% CI: 1.42, 3.48) times higher odds of anemia, respectively than children from the Tigray region. Conclusions This study shows that anemia among children 6–59 months of age is affected both by the individual and community level factors. It is better to strengthen the strategies of early detection and management of stunted and underweight children. At the same time, interventions should be strengthened to address maternal anemia, child fever and poverty, specifically targeting regions identified to have a high risk of anemia.

scholarly journals A One Health perspective to identify environmental factors that affect Rift Valley fever transmission in Gezira state, Central Sudan

2019 ◽  
Vol 47 (1) ◽  
Author(s):  
Rania Salah Eldien Bashir ◽  
Osama Ahmed Hassan
Keyword(s):  
Remote Sensing ◽  
Logistic Regression ◽  
Environmental Factors ◽  
Soil Type ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Logistic Regression Model ◽  
Multilevel Logistic Regression ◽  
Valley Fever ◽  
Multilevel Logistic Regression Model

Abstract Background Rift Valley fever (RVF) is a zoonotic viral vector-borne disease that affects both animals and humans and leads to severe economic consequences. RVF outbreaks are triggered by a favorable environment and flooding, which enable mosquitoes to proliferate and spread the virus further. RVF is endemic to Africa and has spread to Saudi Arabia and Yemen. There is great concern that RVF may spread to previously unaffected geographic regions due to climate change. We aimed to better understand the spatiotemporal pattern of the 2007 RVF outbreak at the human–animal–environment interface and to determine environmental factors that may have effects on RVF occurrence in Gezira state, Sudan. Materials and methods We compiled epidemiological, environmental, and spatiotemporal data across time and space using remote sensing and a geographical information system (GIS). The epidemiological data included 430 RVF human cases as well as human and animal population demographic data for each locality. The cases were collected from 41 locations in Gezira state. The environmental data represent classified land cover during 2007, the year of the RVF outbreak, and the average of the Normalized Difference Vegetation Index (NDVI) for 6 months of 2007 is compared with those of 2010 and 2014, when there was no RVF outbreak. To determine the effect of the environmental factors such as NDVI, soil type, and RVF case’s location on the Blue Nile riverbank on RVF incidence in Gezira state, a multilevel logistic regression model was carried out. Results We found that the outbreak in Gezira state occurred as a result of interaction among animals, humans, and the environment. The multilevel logistic regression model (F = 43,858, df = 3, p = 0.000) explained 23% of the variance in RVF incidence due to the explanatory variables. Notably, soil type (β = 0.613, t = 11.284, p = 0.000) and NDVI (β = − 0.165, t = − 3.254, p = 0.001) were the explanatory environmental factors that had significant effects on RVF incidence in 2007 in Gezira state, Sudan. Conclusions Precise remote sensing and the GIS technique, which rely on environmental indices such as NDVI and soil type that are satellite-derived, can contribute to establishing an early warning system for RVF in Sudan. Future preparedness and strengthening the capacity of regional laboratories are necessary for early notification of outbreaks in animals and humans.

scholarly journals Macropsychological Factors Predict Regional Economic Resilience During a Major Economic Crisis

2015 ◽  
Vol 7 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Martin Obschonka ◽  
Michael Stuetzer ◽  
David B. Audretsch ◽  
Peter J. Rentfrow ◽  
Jeff Potter ◽  
...  
Keyword(s):  
Economic Crisis ◽  
Economic Resilience ◽  
Regional Economic

scholarly journals Determinants of Contraceptive Practice in Oman by Using Multilevel Modeling

2015 ◽  
Vol 20 (1) ◽  
pp. 83 ◽  
Author(s):  
Moza S. Al-Balushi ◽  
Mohammed S. Ahmed ◽  
M. Mazharul Islam
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Regional Variation ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Contraceptive Use ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Living Children ◽  
Multilevel Logistic Regression Model

In this paper, multilevel logistic regression models are developed for examining the hierarchical effects of contraceptive use and its selected determinants in Oman using the 2008 Oman National Reproductive Health Survey (ONRHS). Comparison between single level and multilevel logistic regression models has been made to examine the plausibility of multilevel effects of contraceptive use. From the multilevel logistic regression model analysis, it was found that there is real multilevel variation among contraceptive users in Oman. The results indicate that a multilevel logistic regression model is the best fit over ordinary multiple logistic regression models. Generally, this study revealed that women’s age, education, number of living children and region of residence are important factors that affect contraceptive use in Oman. The effect of regional variation for age of women, education of women and number of living children further implies that there exists considerable differences in modern contraceptive use among regions, and a model with a random coefficient or slope is more appropriate to explain the regional variation than a model with fixed coefficients or without random effects. The study suggests that researchers should use multilevel models rather than traditional regression methods when their data structure is hierarchal.  

scholarly journals Changes in Regional Economic Resilience after the 2008 Global Economic Crisis: The Case of Korea

2021 ◽  
Vol 13 (20) ◽  
pp. 11392
Author(s):  
Seoyoung Yu ◽  
Donghyun Kim
Keyword(s):  
Economic Crisis ◽  
Spatial Data ◽  
Data Model ◽  
Census Data ◽  
Metropolitan Areas ◽  
Spatial Data Analysis ◽  
Economic Resilience ◽  
Regional Economic ◽  
Administrative Units ◽  
Economic Regions

This study investigated Korea’s regional economic resilience after the 2008 economic crisis and analyzed the spatial patterns therein from the perspective of evolution and engineering. We analyzed the employee statistics of 229 si-gun-gu (city-county-district) administrative units for the 2002–2016 period sourced from Business Census data using shift-share analysis, a panel data model, and exploratory spatial data analysis (ESDA). According to the analysis, most regions showed resilience after the crisis, revealing various patterns within the economic regions. Regarding the capital area, there were more structural improvements in Gyeonggi-do than in Seoul. For other regions, there were also more structural improvements in and around metropolitan areas. When comparing the absolute levels of post-crisis employment, the capital area showed low employment resilience in the CBD, while areas where industries such as IT and finance were clustered showed great employment resilience. In addition, non-capital areas showed a significant recovery in the manufacturing areas. This means that regional inequalities in the process of responding to economic crises are likely to include both quantitative and qualitative aspects, and that policies that accompany more structural improvements should be implemented.

scholarly journals Individual and community-level determinants of poor tetanus toxoid immunization among pregnant women in Ethiopia using data from 2016 Ethiopian demographic and health survey; multilevel analysis

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Alemneh Mekuriaw Liyew ◽  
Hiwotie Getaneh Ayalew
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Tetanus Toxoid ◽  
Logistic Regression Model ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Care Visit ◽  
Multilevel Logistic Regression Model ◽  
Tetanus Toxoid Immunization

Abstract Background Tetanus is a vaccine-preventable disease that can occur in all populations, with neonates and pregnant women being at the most risk. Ethiopia has the highest maternal and neonatal tetanus morbidity and mortality rates. Besides, only 49% of mothers get vaccinated with adequate tetanus toxoid in Ethiopia which is below the world health organization recommendation. To date, there is limited evidence on the individual and community level determinants of poor tetanus toxoid (TT) immunization. Therefore, this study aimed to assess individual and community-level factors associated with poor TT immunization coverage in Ethiopia. Method Secondary data analysis was conducted using the 2016 Ethiopian demographic and health survey. A total of 7043 pregnant women were included in the current study. A multilevel logistic regression model was used to identify individual and community level determinants of poor tetanus toxoid immunization. Finally, the adjusted odds ratio with a 95% confidence interval was reported. Results In the multilevel logistic regression model adjustment, having no Antenatal care visit (AOR = 5.64; 95% CI:2.48,7.30) and having one to three antenatal care visit (AOR = 1.50; 95% CI: 1.19–1.82); poor wealth index (AOR = 1.26; 95% CI: 1.03, 1.54); not being exposed to media (AOR = 1.29; 95% CI: 1.10, 1.51); maternal unemployment (AOR = 1.15; 95% CI: 1.10, 1.31); rural residence (AOR = 1.13; 95% CI: 1.08, 1.72); and high community illiteracy (AOR = 1.28; 95% CI: 1.03, 1.58) were associated with higher odds of poor tetanus toxoid immunization. Whereas, iron uptake during pregnancy (AOR = 0.59; 95% CI: 0.51, 0.68), was associated with lower odds of poor tetanus toxoid immunization. Conclusion In this study tetanus toxoid (TT) vaccine utilization was affected by both community and individual-level factors. Therefore, focusing on antenatal care services especially encouraging pregnant women to have at least four visits, consulting women to be exposed to media, improving community literacy and maternal employment will help to minimize TT underutilization.

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