scholarly journals An Exploratory Analysis of Housing and the Distribution of COVID-19 in Sweden

Buildings ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 71
Author(s):  
Mohammad Ismail ◽  
Abukar Warsame ◽  
Mats Wilhelmsson
Keyword(s):  
Close Contact ◽  
Spatial Regression ◽  
Exploratory Analysis ◽  
Explanatory Factors ◽  
Components Analysis ◽  
Per Capita ◽  
Highly Correlated ◽  
Spatial Regression Analysis ◽  
The Impact ◽  
The Relationship

The impact of COVID-19 on various aspects of our life is evident. Proximity and close contact with individuals infected with the virus, and the extent of such contact, contribute to the intensity of the spread of the virus. Healthy and infected household members who both require sanctuary and quarantine space come into close and extended contact in housing. In other words, housing and living conditions can impact the health of occupants and the spread of COVID-19. This study investigates the relationship between housing characteristics and variations in the spread of COVID-19 per capita across Sweden’s 290 municipalities. For this purpose, we have used the number of infected COVID-19 cases per capita during the pandemic period—February 2020 through April 2021—per municipality. The focus is on variables that measure housing and housing conditions in the municipalities. We use exploratory analysis and Principal Components Analysis to reduce highly correlated variables into a set of linearly uncorrelated variables. We then use the generated variables to estimate direct and indirect effects in a spatial regression analysis. The results indicate that housing and housing availability are important explanatory factors for the geographical spread of COVID-19. Overcrowding, availability, and quality are all critical explanatory factors.

scholarly journals Analisis Regresi Spatial Durbin Model (SDM) untuk Pemodelan Kemiskinan Provinsi Jawa Timur Tahun 2017

2019 ◽  
Vol 12 (1) ◽  
pp. 40-46
Author(s):  
Nur Roudlotul Hidayah ◽  
Artanti Indrasetianingsih
Keyword(s):  
Regression Analysis ◽  
Spatial Regression ◽  
Statistical Technique ◽  
Predictor Variables ◽  
Poor People ◽  
Spatial Durbin Model ◽  
Classic Problem ◽  
Almost All ◽  
Spatial Regression Analysis ◽  
The Relationship

Regression is a statistical technique used to describe the relationship between response variables with one or more predictor variables. The development of classical regression analysis that is influenced by the effects of space or location of a region is called spatial regression analysis. The purpose of this study is to conduct Spatial Durbin Model (SDM) regression analysis for poverty modeling in East Java in 2017. Poverty is a classic problem that occurs in almost all countries and is multidimensional, which is related to social, economic, cultural and other aspects. In 2017, poverty in East Java declined compared to the previous year. Therefore it is necessary to identify the factors that influence poverty. The variables used are the percentage of poor people as the response variable (Y) and predictor variables including Education does not finish elementary school (X1), Literacy Rate age 15 -55 years (X2), informal sector workers (X3), unemployment rate open (X4), household users of land as the widest floor (X5), and households using improper sanitation (X6), and households using drinking water sources are not feasible (X7).    Regresi merupakan teknik statistik yang digunakan untuk menggambarkan hubungan antara variabel respon dengan satu atau lebih variabel prediktor. Pengembangan dari analisis regresi klasik yang dipengaruhi oleh efek ruang atau lokasi wilayah disebut analisis regresi spasial. Tujuan dari penelitian ini adalah untuk melakukan analisis regresi Spatial Durbin Model (SDM) untuk pemodelan kemiskinan di Jawa Timur tahun 2017. Kemiskinan merupakan masalah klasik yang terjadi hampir diseluruh negara dan bersifat multidimensional, dimana berkaitan dengan aspek sosial, ekonomi, budaya dan aspek lainnya. Pada tahun 2017, kemiskinan di Jawa Timur mengalami penurunan jika dibandingkan dengan tahun sebelumnya. Oleh karena itu perlu dilakukan identifikasi faktor-faktor yang berpengaruh terhadap kemiskinan. Variabel yang digunakan yaitu persentase penduduk miskin sebagai variabel respon (Y) dan variabel prediktor antara lain Pendidikan tidak tamat SD (X1), Angka Melek Huruf  (AHM) usia 15 -55 tahun (X2), pekerja sektor informal (X3), tingkat pengangguran terbuka (X4), rumah tangga pengguna tanah sebagai lantai terluas (X5), dan rumah tangga pengguna sanitasi tidak layak (X6), dan Rumah tangga pengguna sumber air minum tidak layak (X7).

A study of the relationship between employee wage and commercial banks efficiency in China

2016 ◽  
Vol 7 (2) ◽  
pp. 147-159
Author(s):  
Jiangtao Li ◽  
Jianyue Ji ◽  
Yanxia Wang
Keyword(s):  
Commercial Bank ◽  
Commercial Banks ◽  
Calculated Data ◽  
Wage Structure ◽  
Tobit Regression ◽  
Bank Efficiency ◽  
Content Type ◽  
Per Capita ◽  
The Impact ◽  
The Relationship

Purpose Efficiency of a commercial bank affects both its competitiveness and the role it plays in the process of economic development. Although great efforts have been exerted in developing the various aspects of banking efficiency, there seems to be a lack of research on examining the impact of the bank efficiency from the employee wage perspective. The mechanism of how employee wage affects commercial bank efficiency and the relationship between the two were analyzed in this paper. Based on the growing body of research on efficiency in banking, the aim of this paper is to examine if competitiveness of employee wages at any commercial bank has any impact on the bank efficiency score. Design/methodology/approach The method used was quantitative analysis, which was based on comparing the evaluated efficiencies of the banks with employee wages published in the bank reports. The empirical data in this paper were based on 16 Chinese listed commercial banks from 2004 to 2012. The per capita wage of commercial banks was selected as the wage indicator, and the efficiency value obtained by the slack-based measure (SBM) model was selected as the efficiency indicator. According to the calculated data, the Tobit regression model was built to analyze the relationship between employee wage and commercial bank efficiency. Findings The research results show that employee wage is the key variable that influences the efficiency of Chinese commercial banks, and the inverted U-shaped relationship between employee wage and commercial banks efficiency shows up. Practical implications The wage structure data of the composition of basic pay and bonus were not available at the time of conducting the research. Per capita wages were used instead to reflect the employee wage levels of Chinese banks. Originality/value This study can provide some help for the banking industry by analyzing the wage levels from the perspective of efficiency and also further enriches the theoretical system of the relationship between employee wage and bank efficiency.

Can labor productivity growth reduce carbon emission? Evidence from OECD countries and China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xueli Chen ◽  
Wanshu Ma ◽  
Vivian Valdmanis
Keyword(s):  
Labor Productivity ◽  
Fixed Effects ◽  
Oecd Countries ◽  
Environmental Indicators ◽  
Ekc Hypothesis ◽  
Initial Development ◽  
Content Type ◽  
Per Capita ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.

INTELLIGENCE, SELF-ESTEEM AND ACADEMIC ACHIEVEMENT IN KOSOVO YOUTH

2021 ◽  
Author(s):  
Naim Fanaj ◽  
Sevim Mustafa ◽  
Erika Melonashi
Keyword(s):  
Academic Achievement ◽  
Self Esteem ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Grade Point ◽  
Achievement Data ◽  
Explanatory Factors ◽  
High Intelligence ◽  
The Impact ◽  
The Relationship

Numerous studies have investigated the impact of self-esteem and intelligence on academic achievement. The findings are generally inconsistent. The aim of this study was to understand the relationship between intelligence, self-esteem and academic achievement among young people in Kosovo. It was a quantitative cross-sectional study. The sample consisted of 1856 participants, aged 10-18 years old (Mage = 15.29, SD = 1.76). Participants completed the Rosenberg Self-Esteem Scale and The Raven Standard Progressive Matrices. Grade Point Average (GPA) was used to measure academic achievement. Data processing was done with SPSS 21.0 and Microsoft Excel 2013. Participants according to self-reported academic achievement were classified as follows: fail (0.1%), sufficient (2%), good (15.6%), very good (26.7%) and excellent (55.7%). As regards self-esteem participants were classified as follows: low self-esteem (26.9%), and normal self-esteem (73.1%). A significant positive correlation was found between academic achievement and intelligence (r = .31; p = .00) but not between achievement and self-esteem. This significant correlation resulted for both genders separately. The Mann-Whitney test found significant differences in academic achievement between genders and between groups with high intelligence and those with normal intelligence. Intelligence, but not self-esteem revealed a significant relationship with academic achievement. Future studies on the topic might focus on explanatory factors or the possibility of interaction of other variables related to academic achievement.

scholarly journals PEMODELAN KASUS DIARE DI PROVINSI BALI DENGAN METODE ANALISIS REGRESI SPASIAL

2021 ◽  
Vol 10 (2) ◽  
pp. 95
Author(s):  
I.G.A. DIAH SULASIH ◽  
MADE SUSILAWATI ◽  
NI LUH PUTU SUCIPTAWATI
Keyword(s):  
Regression Analysis ◽  
Spatial Dependence ◽  
Spatial Regression ◽  
Spatial Effect ◽  
Model Estimation ◽  
Spatial Error Model ◽  
Spatial Error ◽  
Bowel Movements ◽  
Spatial Regression Analysis ◽  
The Relationship

Diarrhea is a disease that occurs due to changes in the frequency of bowel movements and can cause death. In 2018, 115.889 cases of diarrhea were found in Bali Province. Information on the relationship between locations indicates the spatial effect in the model. Model estimation was done by using spatial regression analysis. This study aims to determine what factors influence diarrhea cases in Bali Province. The results show that the number of diarrhea cases in a district is influenced by the surrounding districts. This is reinforced in the Moran’s I test which shows spatial dependence. In the analysis of the Spatial Error Model (SEM), it was obtained that the value of  was 57,69% and the variables that significantly affected diarrhea cases in Bali Province were population density and sanitation facilities

scholarly journals The Relationship between National and Entrepreneurial Culture: The Role of National Wealth

2021 ◽  
Author(s):  
Ivana Simić ◽  
Vinko Lepojević
Keyword(s):  
National Culture ◽  
National Economy ◽  
National Income ◽  
Gross National Income ◽  
The Other ◽  
National Wealth ◽  
Entrepreneurial Culture ◽  
Per Capita ◽  
The Impact ◽  
The Relationship

Research Question: The paper examines the impact of specific Hofstede’s dimensions of national culture on entrepreneurial culture, depending on the wealth of the national economy. Motivation: Based on the results of some previous research focused on the relationship between national culture and various indicators associated with entrepreneurship (Hayton, George & Zahra, 2002; Pinillos & Reyes, 2011; Zhao, Li & Rauch, 2012; Hayton & Cacciotti, 2013), the paper analyses the impact of national culture on entrepreneurial culture, as a category closely related to entrepreneurship. The identification of the national culture's dimensions contributing to the affirmation of entrepreneurial culture, provides an insight into the entrepreneurial potential of a particular national economy. Idea: The main idea of the paper is to examine whether selected Hofstede’s dimensions of national culture (power distance - PD, uncertainty avoidance – UA, individualism – IDV) affect entrepreneurial culture (EC) in a manner identical to that affecting the other indicators of entrepreneurship. The mentioned relationship is not examined as unmediated, but in the context of the effect that national wealth (measured as Gross National Income per capita - GNI) has on it. Data: The survey covered a total of 108 countries for which the data on the values of three selected dimensions of national culture, the index of entrepreneurial culture and the Gross National Income per capita are available. Tools: In order to examine the effect of three selected Hofstede’s dimensions of national culture on entrepreneurial culture, correlation and standard multiple regression analyses were conducted. For data processing, statistical software SPSS (version 22.0) was used. Findings: The obtained results of the research show that in national economies with higher levels of IDV and lower levels of UA, higher scores of the EC index are manifested, regardless of the national wealth. On the other hand, the impact of PD on EC is determined by the level of a particular economy's wealth. In high-income economies (HIE), the index of EC is higher if PD is lower. In low- and middle-income economies (LIE), higher values of EC index are manifested if PD is higher. Contribution: The paper expands the knowledge and research base on entrepreneurial culture and the influence that national culture has on it.

scholarly journals The Relationship between Weekly Periodicity and COVID-19 Progression

2020 ◽  
Author(s):  
Sophia Li
Keyword(s):  
Fourier Transformation ◽  
Institutional Practices ◽  
Independent Analysis ◽  
Institutional Responses ◽  
Highly Correlated ◽  
Frequency Modulations ◽  
The Impact ◽  
The Relationship ◽  
Case Data ◽  
Linear Correlations

AbstractCOVID-19 is extraordinary both as once-in-a-lifetime pandemic and having abundant real-time case data, thus providing an extraordinary opportunity for timely independent analysis and novel perspectives. We investigate the weekly periodicity in the daily reported new cases and new deaths with the implied relationships to the societal and institutional responses using autocorrelation and Fourier transformation. The results show significant linear correlations between the weekly periodicity and the total cases and deaths, ranging from 50% to 84% for sizable groups of countries with population normalized deaths spanning nearly three orders of magnitude, from a few to approaching a thousand per million. In particular, the Strength Indicator of the periodicity in the new cases, defined by the autocorrelation with a 7-day lag, is positively correlated strongly to the total deaths per million in respective countries. The Persistence Indicator of the periodicity, defined as the average of three autocorrelations with 7-, 14- and 21-day lags, is an overall better indicator of the progression of the pandemic. For longer time series, Fourier transformation gives similar results. This analysis begins to fill the gap in modeling and simulation of epidemics with the inclusion of high frequency modulations, in this case most likely from human behaviors and institutional practices, and reveals that they can be highly correlated to the magnitude and duration of the pandemic. The results show that there is significant need to understand the causes and effects of the periodicity and its relationship to the progression and outcome of the pandemic, and how we could adapt our strategies and implementations to reduce the extent of the impact of COVID-19.

Relationship of Numbing to Alexithymia, Apathy, and Depression

2001 ◽  
Vol 88 (1) ◽  
pp. 189-200 ◽  
Author(s):  
Sonja M. Ramirez ◽  
Hillel Glover ◽  
Carroll Ohlde ◽  
Richard Mercer ◽  
Cary Hamlin ◽  
...  
Keyword(s):  
Self Report ◽  
Department Of Veterans Affairs ◽  
Medical Centers ◽  
Associated Conditions ◽  
Vietnam Combat Veterans ◽  
Components Analysis ◽  
Veterans Affairs Medical Centers ◽  
Highly Correlated ◽  
Relationship Of ◽  
The Relationship

The present study assessed the relationship between numbing and three associated conditions of alexithymia, apathy, and depression, utilizing data collected on 353 Vietnam combat veterans diagnosed with Posttraumatic Stress Disorder from in- and out-patient settings and an outreach center at various Department of Veterans Affairs Medical Centers. All subjects completed four self-report measures: the Glover Numbing Scale©, the Beck Depression Inventory, the Apathy Evaluation Scale, and the Toronto Alexithymia Scale–20. The correlation matrix indicated that scores on the four measures were moderately to highly correlated. Principal components analysis with a varimax rotation indicated a five-factor solution that provided evidence for the factorial validity of each of the constructs assessed. Results of the factor analysis of items from the four measures were consistent with numbing being a separate and distinct construct from alexithymia, apathy, and depression. In general, results indicated that all constructs measured were separate and distinct from one another.

scholarly journals Effect of socioeconomic status on the association between air pollution and mortality in Bogota, Colombia

2014 ◽  
Vol 56 (4) ◽  
pp. 371 ◽  
Author(s):  
Luis Camilo Blanco-Becerra ◽  
Víctor Miranda-Soberanis ◽  
Albino Barraza-Villarreal ◽  
Washington Junger ◽  
Magali Hurtado-Díaz ◽  
...  
Keyword(s):  
Air Pollution ◽  
Socioeconomic Status ◽  
Time Series ◽  
Particulate Matter ◽  
Ecological Study ◽  
Aerodynamic Diameter ◽  
Components Analysis ◽  
The Impact ◽  
The Relationship ◽  
Respiratory Causes

Objective. To evaluate the modification effect of socioeconomic status (SES) on the association between acute exposure to particulate matter less than 10 microns in aerodynamic diameter (PM10) and mortality in Bogota, Colombia. Materials and methods. A time-series ecological study was conducted (1998-2006). The localities of the cities were stratified using principal components analysis, creating three levels of aggregation that allowed for the evaluation of the impact of SES on the relationship between mortality and air pollution. Results. For all ages, the change in the mortality risk for all causes was 0.76% (95%CI 0.27-1.26) for SES I (low), 0.58% (95%CI 0.16-1.00) for SES II (mid) and -0.29% (95%CI -1.16-0.57) for SES III (high) per 10µg/m3 increment in the daily average of PM10 on day of death. Conclusions. The results suggest that SES significantly modifies the effect of environmental exposure to PM10 on mortality from all causes and respiratory causes.

scholarly journals THE IMPACT OF THE INSTITUTIONAL ENVIRONMENT ON THE ECONOMIC DEVELOPMENT

Ekonomika ◽  
2009 ◽  
Vol 87 ◽  
pp. 141-153 ◽  
Author(s):  
Vidmantas Jankauskas ◽  
Janina Šeputienė
Keyword(s):  
Economic Development ◽  
Institutional Environment ◽  
Gdp Per Capita ◽  
Development Institutions ◽  
Per Capita ◽  
Relationship Of ◽  
Openness To Trade ◽  
The Impact ◽  
The Relationship

Economic literature recognizes three “deep determinants” of economic development: institutions, geography and openness to trade. Discussion in the literature focuses on what part of the income per capita variation can be explained by institutions, geography and openness to trade. The empirical results can’t offer a clear answer, but there is a broader agreement in the literature that institutions play a more important role than geography and openness to trade. What is unclear whether the institutions also can explain variation in per capita income across countries, in which institutional environment is to some degree similar..This article aims to explore and quantify the relationship of the income level with institutional environment, geography and openness to trade across countries, grouped according their institutional environment quality.The results reveal that extent to which the variation in GDP per capita can be associated with the quality of institutional environment differs a lot between good and bad institutional environment samples. The results in good institutional environment sample come in line with series of studies in which the strong and positive link between various measures of institutions and economic development was established and support primacy of institutions over openness to trade and geography. I In bad institutional environment sample, on the contrary,no evidence was found that institutions mean a lot in respect of differences in GDP per capita. These results should not be interpreted so as to mean that institutional environment is not important, rather the degree of “badness” makes no difference.

Sign in / Sign up

Export Citation Format

Share Document