Search results for: census data
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 24192

Search results for: census data

24162 Measurement and Modelling of HIV Epidemic among High Risk Groups and Migrants in Two Districts of Maharashtra, India: An Application of Forecasting Software-Spectrum

Authors: Sukhvinder Kaur, Ashok Agarwal

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Background: For the first time in 2009, India was able to generate estimates of HIV incidence (the number of new HIV infections per year). Analysis of epidemic projections helped in revealing that the number of new annual HIV infections in India had declined by more than 50% during the last decade (GOI Ministry of Health and Family Welfare, 2010). Then, National AIDS Control Organisation (NACO) planned to scale up its efforts in generating projections through epidemiological analysis and modelling by taking recent available sources of evidence such as HIV Sentinel Surveillance (HSS), India Census data and other critical data sets. Recently, NACO generated current round of HIV estimates-2012 through globally recommended tool “Spectrum Software” and came out with the estimates for adult HIV prevalence, annual new infections, number of people living with HIV, AIDS-related deaths and treatment needs. State level prevalence and incidence projections produced were used to project consequences of the epidemic in spectrum. In presence of HIV estimates generated at state level in India by NACO, USIAD funded PIPPSE project under the leadership of NACO undertook the estimations and projections to district level using same Spectrum software. In 2011, adult HIV prevalence in one of the high prevalent States, Maharashtra was 0.42% ahead of the national average of 0.27%. Considering the heterogeneity of HIV epidemic between districts, two districts of Maharashtra – Thane and Mumbai were selected to estimate and project the number of People-Living-with-HIV/AIDS (PLHIV), HIV-prevalence among adults and annual new HIV infections till 2017. Methodology: Inputs in spectrum included demographic data from Census of India since 1980 and sample registration system, programmatic data on ‘Alive and on ART (adult and children)’,‘Mother-Baby pairs under PPTCT’ and ‘High Risk Group (HRG)-size mapping estimates’, surveillance data from various rounds of HSS, National Family Health Survey–III, Integrated Biological and Behavioural Assessment and Behavioural Sentinel Surveillance. Major Findings: Assuming current programmatic interventions in these districts, an estimated decrease of 12% points in Thane and 31% points in Mumbai among new infections in HRGs and migrants is observed from 2011 by 2017. Conclusions: Project also validated decrease in HIV new infection among one of the high risk groups-FSWs using program cohort data since 2012 to 2016. Though there is a decrease in HIV prevalence and new infections in Thane and Mumbai, further decrease is possible if appropriate programme response, strategies and interventions are envisaged for specific target groups based on this evidence. Moreover, evidence need to be validated by other estimation/modelling techniques; and evidence can be generated for other districts of the state, where HIV prevalence is high and reliable data sources are available, to understand the epidemic within the local context.

Keywords: HIV sentinel surveillance, high risk groups, projections, new infections

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24161 Factors Associated with Self-Reported Pregnancies among Secondary School Teenagers in South Africa: Evidence from General Household Surveys

Authors: Sathiya Susuman Appunni

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Background: This article reviews the self-reported pregnancies among teenage girls currently attending secondary school in South Africa. The study aim is to examine the demographic and socio-economic factors associated with self-reported pregnancies among teenage girls currently attending secondary school in the study area. Data and Methods: Secondary data drawn from the General Household Surveys 2016 and Community Survey 2016 as well as 10 % sample data from the 2011 South African census were used. Bivariate, and Multivariate analyses were carried in order to meet the aims of the study. Results: The independent variable identified was the number of economically active people in the household, which indicated 3.3% in 2011 and 3.6% in 2016 for the household with no economically active member. Among the provinces, Limpopo has been leading by 5.2% of self-reported pregnancies among the girls currently attending secondary school in South Africa. Conclusion: It is recommended that the needs to be special health policies and strategies in place to address this epidemic and such policies need to be targeted to the different needs of teenagers in the different demarcations of the country.

Keywords: pregnancy prevalence, demographic, household, teenage girls, socio-economic

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24160 The Incidence of Acetylcholine Receptor Antibody Positive Myasthenia Gravis in South Africa

Authors: Mombaur Busisiwe, Lesosky Maia, Liebenberg Lisa, Heckmann Jeannine

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Introduction: To assess age- and gender-specific incidence rates (IR) of acetylcholine receptor (AChR)-antibody positive myasthenia gravis (MG) in South Africa, and geographical variation in incidence. Methods: IRs were calculated from positive AChR antibody laboratory data between 2011 and 2012, using 2011 population census data. Results:890 individuals were seropositive, for an annual IR of 8.5 per million. Age-standardized IR for early- (< 50) and late-onset (≥ 50) MG were 4.1 and 24 per million, respectively, and for juveniles, 4.3 per million. The IR between provinces ranged from 1 to 19 per million. Conclusions: In this Southern hemisphere African population, the overall IR and peak IR (in older men) for seropositive MG is comparable to that in Europe and North America, arguing against environmental factors. However, IRs may be higher among children with African genetic ancestry. Geographical variation in incidence underscores the importance of outreach programs for regions with limited resources.

Keywords: incidence rates (IR), acetylcholine receptor (AChR), myasthenia gravis (MG), South Africa

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24159 The Effect of Resource Misallocation on the Productivity of Rice Farming in Thailand: Evidence from Household-Level Data

Authors: Siwapong Dheera-Aumpon

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Resource misallocation is known to be prevalent in many countries. Such misallocation in the manufacturing sector is large and has a considerable negative effect on aggregate productivity. Thailand is one of the countries having large resource misallocation in the manufacturing sector. Resource misallocation is also known to be widespread in the agricultural sector. It is, therefore, likely that resource misallocation exists in the agricultural sector of Thailand as well. This study aims to evaluate the extent of resource misallocation in Thai rice farming. Using household-level data from 2013 Thai Agricultural Census, this study calculates farm total factor productivity (TFP) controlling for land quality and rain. Similar to the case of Malawi, marginal products of land and capital are found to be related to farm TFP implying large resource misallocation. The output gain from a reallocation of resources to their best use is 67 percent. The gain from reallocation is highest for farms in the southern region and followed by the northeastern region.

Keywords: agriculture, misallocation, productivity, rice

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24158 The Impact of the Great Irish Famine on Irish Mass Migration to the United States at the Turn of the Twentieth Century

Authors: Gayane Vardanyan, Gaia Narciso, Battista Severgnini

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This paper investigates the long-run impact of the Great Irish Famine on emigration from Ireland at the turn of the twentieth century. To do it we combine the 1901 and the 1911 Irish Census data sets with the Ellis Island Administrative Records on Irish migrants to the United States. We find that the migrants were more likely to be Catholic, literate, unmarried, young and Gaelic speaking compared to the ones that stay. Running individual level specifications, our preliminary findings suggest that being born in a place where the Famine was more severe increases the probability of becoming a migrant in the long-run. We also intend to explore the mechanisms through which this impact occurs.

Keywords: Great Famine, mass migration, long-run impact, mechanisms

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24157 Climate Change Vulnerability and Agrarian Communities: Insights from the Composite Vulnerability Index of Indian States of Andhra Pradesh and Karnataka

Authors: G. Sridevi, Amalendu Jyotishi, Sushanta Mahapatra, G. Jagadeesh, Satyasiba Bedamatta

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Climate change is a main challenge for agriculture, food security and rural livelihoods for millions of people in India. Agriculture is the sector most vulnerable to climate change due to its high dependence on climate and weather conditions. Among India’s population of more than one billion people, about 68% are directly or indirectly involved in the agricultural sector. This sector is particularly vulnerable to present-day climate variability. In this contest this paper examines the Socio-economic and climate analytical study of the vulnerability index in Indian states of Andhra Pradesh and Karnataka. Using secondary data; it examines the vulnerability through five different sub-indicator of socio-demographic, agriculture, occupational, common property resource (CPR), and climate in respective states among different districts. Data used in this paper has taken from different sources, like census in India 2011, Directorate of Economics and Statistics of respective states governments. Rainfall data was collected from the India Meteorological Department (IMD). In order to capture the vulnerability from two different states the composite vulnerability index (CVI) was developed and used. This indicates the vulnerability situation of different districts under two states. The study finds that Adilabad district in Andhra Pradesh and Chamarajanagar in Karnataka had highest level of vulnerability while Hyderabad and Bangalore in respective states have least level of vulnerability.

Keywords: vulnerability, agriculture, climate change, global warming

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24156 Crime against Women in India: A Geospatial Analysis

Authors: V. S. Binu, Amitha Puranik, Sintomon Mathew, Sebin Thomas

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Globally, women are more vulnerable to various forms of crimes than males. The crimes that are directed specifically towards women are classified as crime against women. Crime against women in India is observed to increase year after year and according to the National Crime Records Bureau (NCRB) report, in 2014 there was an increase of 9.2% cases of crime against women compared to the previous year. The violence in a population depends on socio-demographic factors, unemployment, poverty, number of police officials etc. There are very few studies that explored to identify hotspots of various types of crime against women in India. Hotspots are geographical regions where the number of observed cases is more than the expected number for that region. It is important to identify the hotspots of crime against women in India in order to control and prevent violence against women in that region. The goal of this study is to identify the hotspots of crime against women in India using spatial data analysis techniques. For the present study, we used the district level data of various types of crime against women in India in the year 2011 published by NCRB and the 2011 Census population in each of these districts. The study used spatial scan statistic to identify the hotspots using SaTScan software.

Keywords: crime, hotspots, India, Satscan, Women

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24155 Temporal Transformation of Built-up Area and its Impact on Urban Flooding in Hyderabad, India

Authors: Subbarao Pichuka, Amar Balakrishna Tej, Vikas Vemula

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In recent years, the frequency and intensity of urban floods have increased due to climate change all over the world provoking a significant loss in terms of human lives and property. This study investigates the effect of Land Use and Land Cover (LULC) changes and population growth on the urban environmental conditions in the Indian metropolitan city namely Hyderabad. The centennial built-up area data have been downloaded from the Global Human Settlement Layer (GHSL) web portal for various periods (1975 to 2014). The ArcGIS version 10.8 software is employed to convert the GHSL data into shape files and also to calculate the amount of built-up area in the study locations. The decadal population data are obtained from the Census from 1971 to 2011 and forecasted for the required years (1975 and 2014) utilizing the Geometric Increase Method. Next, the analysis has been carried out with respect to the increase in population and the corresponding rise in the built-up area. Further the effects of extreme rainfall events, which exacerbate urban flooding have also been reviewed. Results demonstrate that the population growth was the primary cause of the increase in impervious surfaces in the urban regions. It in turn leads to the intensification of surface runoff and thereby leads to Urban flooding. The built-up area has been doubled from 1975 to 2014 and the population growth has been observed between 109.24% to 400% for the past four decades (1971 to 2014) in the study area (Hyderabad). Overall, this study provides the hindsight on the current urban flooding scenarios, and the findings of this study can be used in the future planning of cities.

Keywords: urban LULC change, urban flooding, GHSL built-up data, climate change, ArcGIS

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24154 Geographic Information System and Ecotourism Sites Identification of Jamui District, Bihar, India

Authors: Anshu Anshu

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In the red corridor famed for the Left Wing Extremism, lies small district of Jamui in Bihar, India. The district lies at 24º20´ N latitude and 86º13´ E longitude, covering an area of 3,122.8 km2 The undulating topography, with widespread forests provides pristine environment for invigorating experience of tourists. Natural landscape in form of forests, wildlife, rivers, and cultural landscape dotted with historical and religious places is highly purposive for tourism. The study is primarily related to the identification of potential ecotourism sites, using Geographic Information System. Data preparation, analysis and finally identification of ecotourism sites is done. Secondary data used is Survey of India Topographical Sheets with R.F.1:50,000 covering the area of Jamui district. District Census Handbook, Census of India, 2011; ERDAS Imagine and Arc View is used for digitization and the creation of DEM’s (Digital Elevation Model) of the district, depicting the relief and topography and generate thematic maps. The thematic maps have been refined using the geo-processing tools. Buffer technique has been used for the accessibility analysis. Finally, all the maps, including the Buffer maps were overlaid to find out the areas which have potential for the development of ecotourism sites in the Jamui district. Spatial data - relief, slopes, settlements, transport network and forests of Jamui District were marked and identified, followed by Buffer Analysis that was used to find out the accessibility of features like roads, railway stations to the sites available for the development of ecotourism destinations. Buffer analysis is also carried out to get the spatial proximity of major river banks, lakes, and dam sites to be selected for promoting sustainable ecotourism. Overlay Analysis is conducted using the geo-processing tools. Digital Terrain Model (DEM) generated and relevant themes like roads, forest areas and settlements were draped on the DEM to make an assessment of the topography and other land uses of district to delineate potential zones of ecotourism development. Development of ecotourism in Jamui faces several challenges. The district lies in the portion of Bihar that is part of ‘red corridor’ of India. The hills and dense forests are the prominent hideouts and training ground for the extremists. It is well known that any kind of political instability, war, acts of violence directly influence the travel propensity and hinders all kind of non-essential travels to these areas. The development of ecotourism in the district can bring change and overall growth in this area with communities getting more involved in economically sustainable activities. It is a known fact that poverty and social exclusion are the main force that pushes people, resorting towards violence. All over the world tourism has been used as a tool to eradicate poverty and generate good will among people. Tourism, in sustainable form should be promoted in the district to integrate local communities in the development process and to distribute fruits of development with equity.

Keywords: buffer analysis, digital elevation model, ecotourism, red corridor

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24153 A Study of Population Growth Models and Future Population of India

Authors: Sheena K. J., Jyoti Badge, Sayed Mohammed Zeeshan

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A Comparative Study of Exponential and Logistic Population Growth Models in India India is the second most populous city in the world, just behind China, and is going to be in the first place by next year. The Indian population has remarkably at higher rate than the other countries from the past 20 years. There were many scientists and demographers who has formulated various models of population growth in order to study and predict the future population. Some of the models are Fibonacci population growth model, Exponential growth model, Logistic growth model, Lotka-Volterra model, etc. These models have been effective in the past to an extent in predicting the population. However, it is essential to have a detailed comparative study between the population models to come out with a more accurate one. Having said that, this research study helps to analyze and compare the two population models under consideration - exponential and logistic growth models, thereby identifying the most effective one. Using the census data of 2011, the approximate population for 2016 to 2031 are calculated for 20 Indian states using both the models, compared and recorded the data with the actual population. On comparing the results of both models, it is found that logistic population model is more accurate than the exponential model, and using this model, we can predict the future population in a more effective way. This will give an insight to the researchers about the effective models of population and how effective these population models are in predicting the future population.

Keywords: population growth, population models, exponential model, logistic model, fibonacci model, lotka-volterra model, future population prediction, demographers

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24152 The Role of Japan's Land-Use Planning in Farmland Conservation: A Statistical Study of Tokyo Metropolitan District

Authors: Ruiyi Zhang, Wanglin Yan

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Strict land-use plan is issued based on city planning act for controlling urbanization and conserving semi-natural landscape. And the agrarian land resource in the suburbs has indispensable socio-economic value and contributes to the sustainability of the regional environment. However, the agrarian hinterland of metropolitan is witnessing severe farmland conversion and abandonment, while the contribution of land-use planning to farmland conservation remains unclear in those areas. Hypothetically, current land-use plan contributes to farmland loss. So, this research investigated the relationship between farmland loss and land-use planning at municipality level to provide base data for zoning in the metropolitan suburbs, and help to develop a sustainable land-use plan that will conserve the agrarian hinterland. As data and methods, 1) Farmland data of Census of Agriculture and Forestry for 2005 to 2015 and population data of 2015 and 2018 were used to investigate spatial distribution feathers of farmland loss in Tokyo Metropolitan District (TMD) for two periods: 2005-2010;2010-2015. 2) And the samples were divided by four urbanization facts. 3) DID data and zoning data for 2006 to 2018 were used to specify urbanization level of zones for describing land-use plan. 4) Then we conducted multiple regression between farmland loss, both abandonment and conversion amounts, and the described land-use plan in each of the urbanization scenario and in each period. As the results, the study reveals land-use plan has unignorable relation with farmland loss in the metropolitan suburbs at ward-city-town-village level. 1) The urban promotion areas planned larger than necessity and unregulated urbanization promote both farmland conversion and abandonment, and the effect weakens from inner suburbs to outer suburbs. 2) And the effect of land-use plan on farmland abandonment is more obvious than that on farmland conversion. The study advocates that, optimizing land-use plan will hopefully help the farmland conservation in metropolitan suburbs, which contributes to sustainable regional policy making.

Keywords: Agrarian land resource, land-use planning, urbanization level, multiple regression

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24151 The Wage Differential between Migrant and Native Workers in Australia: Decomposition Approach

Authors: Sabrina Tabassum

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Using Census Data for Housing and Population of Australia 2001, 2006, 2011, and 2016, this paper shows the existence of wage differences between natives and immigrants in Australia. Addressing the heterogeneous nature of immigrants, this study group the immigrants in three broad categories- migrants from English speaking countries and migrants from India and China. Migrants from English speaking countries and India earn more than the natives per week, whereas migrants from China earn far less than the natives per week. Oaxaca decomposition suggests that major part of this differential is unexplained. Using the occupational segregation concept and Brown decomposition, this study indicates that migrants from India and China would have been earned more than the natives if they had the same occupation distribution as natives due to their individual characteristics. Within occupation, wage differences are more prominent than inter-occupation wage differences for immigrants from China and India.

Keywords: Australia, labour, migration, wage

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24150 Nostalgic Tourism in Macau: The Bidirectional Causal Relationship between Destination Image and Experiential Value

Authors: Aliana Leong, T. C. Huan

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The purpose of Nostalgic themed tourism product is becoming popular in many countries. This study intends to investigate the role of nostalgia in destination image, experiential value and their effect on subsequent behavioral intention. The survey used stratified sampling method to include respondents from all the nearby Asian regions. The sampling is based on the data of inbound tourists provided by the Statistics and Census Service (DSEC) of government of Macau. The questionnaire consisted of five sections of 5 point Likert scale questions: (1) nostalgia, (2) destination image both before and after experience, (3) expected value, (4) experiential value, and (5) future visit intention. Data was analysed with structural equation modelling. The result indicates that nostalgia plays an important part in forming destination image and experiential value before individual had a chance to experience the destination. The destination image and experiential value share a bidirectional causal relationship that eventually contributes to future visit intention. The study also discovered that while experiential value is more effective in generating destination image, the later contribute more to future visit intention. The research design measures destination image and experiential value before and after respondents had experience the destination. The distinction between destination image and expected/experiential value can be examined because the longitudinal design of research method. It also allows this study to observe how nostalgia translates to future visit intention.

Keywords: nostalgia, destination image, experiential value, future visit intention

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24149 Assessing Spatial Associations of Mortality Patterns in Municipalities of the Czech Republic

Authors: Jitka Rychtarikova

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Regional differences in mortality in the Czech Republic (CR) may be moderate from a broader European perspective, but important discrepancies in life expectancy can be found between smaller territorial units. In this study territorial units are based on Administrative Districts of Municipalities with Extended Powers (MEP). This definition came into force January 1, 2003. There are 205 units and the city of Prague. MEP represents the smallest unit for which mortality patterns based on life tables can be investigated and the Czech Statistical Office has been calculating such life tables (every five-years) since 2004. MEP life tables from 2009-2013 for males and females allowed the investigation of three main life cycles with the use of temporary life expectancies between the exact ages of 0 and 35; 35 and 65; and the life expectancy at exact age 65. The results showed regional survival inequalities primarily in adult and older ages. Consequently, only mortality indicators for adult and elderly population were related to census 2011 unlinked data for the same age groups. The most relevant socio-economic factors taken from the census are: having a partner, educational level and unemployment rate. The unemployment rate was measured for adults aged 35-64 completed years. Exploratory spatial data analysis methods were used to detect regional patterns in spatially contiguous units of MEP. The presence of spatial non-stationarity (spatial autocorrelation) of mortality levels for male and female adults (35-64), and elderly males and females (65+) was tested using global Moran’s I. Spatial autocorrelation of mortality patterns was mapped using local Moran’s I with the intention to depict clusters of low or high mortality and spatial outliers for two age groups (35-64 and 65+). The highest Moran’s I was observed for male temporary life expectancy between exact ages 35 and 65 (0.52) and the lowest was among women with life expectancy of 65 (0.26). Generally, men showed stronger spatial autocorrelation compared to women. The relationship between mortality indicators such as life expectancies and socio-economic factors like the percentage of males/females having a partner; percentage of males/females with at least higher secondary education; and percentage of unemployed males/females from economically active population aged 35-64 years, was evaluated using multiple regression (OLS). The results were then compared to outputs from geographically weighted regression (GWR). In the Czech Republic, there are two broader territories North-West Bohemia (NWB) and North Moravia (NM), in which excess mortality is well established. Results of the t-test of spatial regression showed that for males aged 30-64 the association between mortality and unemployment (when adjusted for education and partnership) was stronger in NM compared to NWB, while educational level impacted the length of survival more in NWB. Geographic variation and relationships in mortality of the CR MEP will also be tested using the spatial Durbin approach. The calculations were conducted by means of ArcGIS 10.6 and SAS 9.4.

Keywords: Czech Republic, mortality, municipality, socio-economic factors, spatial analysis

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24148 The Effect of Vertical Integration on Operational Performance: Evaluating Physician Employment in Hospitals

Authors: Gary Young, David Zepeda, Gilbert Nyaga

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This study investigated whether vertical integration of hospitals and physicians is associated with better care for patients with cardiac conditions. A dramatic change in the U.S. hospital industry is the integration of hospital and physicians through hospital acquisition of physician practices. Yet, there is little evidence regarding whether this form of vertical integration leads to better operational performance of hospitals. The study was conducted as an observational investigation based on a pooled, cross-sectional database. The study sample comprised over hospitals in the State of California. The time frame for the study was 2010 to 2012. The key performance measure was hospitals’ degree of compliance with performance criteria set out by the federal government for managing patients with cardiac conditions. These criteria relate to the types of clinical tests and medications that hospitals should follow for cardiac patients but hospital compliance requires the cooperation of a hospital’s physicians. Data for this measure was obtained from a federal website that presents performance scores for U.S. hospitals. The key independent variable was the percentage of cardiologists that a hospital employs (versus cardiologists who are affiliated but not employed by the hospital). Data for this measure was obtained from the State of California which requires hospitals to report financial and operation data each year including numbers of employed physicians. Other characteristics of hospitals (e.g., information technology for cardiac care, volume of cardiac patients) were also evaluated as possible complements or substitutes for physician employment by hospitals. Additional sources of data included the American Hospital Association and the U.S. Census. Empirical models were estimated with generalized estimating equations (GEE). Findings suggest that physician employment is positively associated with better hospital performance for cardiac care. However, findings also suggest that information technology is a substitute for physician employment.

Keywords: physician employment, hospitals, verical integration, cardiac care

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24147 Effect of Training and Development on Employee Performance in the Banking Industry: A Case Study of Some Selected Banks within Bauchi Metropolis

Authors: Sagir Abubakar

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Organization must move along with the employees, because organization should adapt itself to the changing environment. The paper examines the effect of training and development on employee performance. Training and development has an important role in improve the performance, skills and attitude of employee in an organization. Training and development will also help an employee to do his present job or to prepare him for a higher position with increased responsibilities. The paper analyses the employee performance towards training and development conducted in some selected banks within Bauchi metropolis. Review of related literature was done on, training, training objectives, methods and development and its method. A census survey was carried out using staff of GTB and Skye Banks Bauchi branch where a total of 40 questionnaires were administered personally by the researcher and there were 100% responses. Correlation analysis was adopted for the analysis of data collected. The study concludes that 95% of respondents agreed that training and development are vital for both employee and organizations performance. They also suggest that training and development should be made compulsory for all categories of employee in an organization. Training and Development programmes are necessary in any organization for improving the quality of work of the employee.

Keywords: training, development, employee, performance, banks

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24146 Multilingualism and the Question of National Language in Nigeria

Authors: Salome Labeh

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Diverse Languages that exist in Nigeria, gave rise to the need to choose among these languages, which one or ones to be used as the National Language(s) in Nigeria. The Multilingual Nature of Nigeria has been examined, in relation to the provisional result of 1991 census conducted in Nigeria and the status of language policy in the country, which eventually led to the discovery of the fact that Hausa, Igbo, Yoruba languages have the highest speaker in terms of population, and are already made co-official languages in Nigeria, alongside with English language. Then, these languages should be considered as the National Languages, if eventually a language policy emerges in Nigeria.

Keywords: multilingual, languages, culture, Nigeria

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24145 Evaluation of Access to Finance for Local Oil Fields Companies in Ghana

Authors: Gordon Newlove Asamoah, Wendy Ama Oti

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This study focused on evaluating access to finance for local oil field companies in Ghana. The study adopted a census survey design in evaluating access to finance for local oil field companies in Ghana. The respondents of this study were 30 management members of three oil field companies in Ghana. The data collected was analysed using Statistical Package for Social Scientists (SPSS) to generate tables and graphs for interpretation. The results show that most companies use equity financing in combination with other forms of financing to finance their business activities. This research has shown the various challenges bordering on the financing of local oil and gas projects, with emphasis on the challenges of raising funds by indigenous oil companies. Financing of the projects by indigenous oil field companies in Ghana is preferably achieved through equity finance mainly because it is the easiest to get compared to all the other forms of financing available. Other sources of financing available are debt financing, joint venture, and retained earnings from the profits generated from their operations. The study made recommendations to local oil field companies as to how they can make good use of the capital market to raise financing.

Keywords: access, financing, oil fields, Ghana

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24144 Breaking the Stained-Glass Ceiling: Personality Traits and Ambivalent Sexism in Shaping Gender Income Equality

Authors: Shiza Shahid, Saba Shahid, Kenji Noguchi, Raegan Bishop, Elena Stepanova

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According to data from the U.S. Census Bureau, in 2020, in the United States, women who worked full-time earned only 82 cents for every dollar earned by men who worked full-time, year-round. This study examined how personality traits (extraversion, agreeableness, conscientiousness, emotional stability, openness to experience) interacts with ambivalent sexism to influence acceptance of gender income inequality. Using a quantitative method approach, this study collected data from a sample of N=150 students from Social Science Online Subject Pool (SONA). The study predicted that (a) extraversion and openness to experience would be positively related to acceptance of gender income inequality, while emotional stability and agreeableness would be negatively related to acceptance of gender income inequality, (b) Individuals who scored higher on measures of hostile sexism would show greater acceptance of gender income inequality than individuals who score higher on measures of benevolent sexism. The results were reported according to the predictions for the study. This study broadens the importance of addressing the underlying factors contributing to attitudes towards gender income inequality and contributes to ongoing efforts to achieve gender equality, which is important for promoting economic well-being.

Keywords: gender income ineqaulity, ambivalent sexism, personality traits, sustainable development goals

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24143 A Study of Status of Women by Incorporating Literacy and Employment in India and Some Selected States

Authors: Barnali Thakuria, Labananda Choudhury

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Gender equality and women’s empowerment is one of the components of eight Millennium Development Goal (MDG).Literacy and employment are the parameters which reflect the empowerment of women. But in a developing country like India, literacy and working status among the females are not satisfactory. Both literacy and employment technically can be measured by Literate Life Expectancy (LLE) and Working Life Expectancy (WLE).One can also combine both the factors literacy and working to get a better new measure. The proposed indicator can be called literate-working life expectancy (LWLE). LLE gives an average number of years a person lives in a literate state under current mortality and literacy conditions while WLE defined as average number of years a person lives in a working state if current mortality and working condition prevails. Similarly, LWLE gives number of expected years by a person living under both literate and working state. The situation of females cannot be figured out without comparing both the sexes. In the present paper an attempt has been made to estimate LLE and WLE in India along with some selected states from various zones of India namely Assam from the North-East, Gujarat from the West, Kerala from the South, Rajasthan from the North, Uttar Pradesh from the Central and West Bengal from the East respectively for both the sexes based on 2011 census. Furthermore, we have also developed a formula for a new indicator namely Literate-Working Life Expectancy (LWLE) and the proposed index has been applied in India and the selected states mentioned above for both males and females. Data has been extracted from SRS(Sample Registration System) based Abridged Life Table and Census of India. The computation of LLE follows the method developed by Lutz while WLE has followed the method developed by Saw Swee Hock. By combining both the factors literacy and employment, the new indicator LWLE also follows the method like LLE and WLE. Contrasted results have been found in different parts of India. The result shows that LLE at birth is highest(lowest) in the state Kerala(Uttar Pradesh) with 61.66 (39.51) years among the males. A similar situation is also observed among the females with 62.58 years and 25.11 years respectively. But male WLE at birth is highest (lowest) in Rajasthan(Kerala) with 37.11 (32.64) years. Highest female WLE at birth is also observed in Rajasthan with 23.51 years and the lowest is concentrated in Uttar Pradesh with 11.76 years. It is also found that Kerala’s performance is exceptionally good in terms of LWLE at birth while the lowest LWLE at birth prevails in the state Uttar Pradesh among the males. Female LWLE at birth is highest(lowest) in Kerala(Uttar Pradesh) with 19.73(4.77)years. The corresponding value of the index increases as the number of factors involved in the life expectancy decrease. It is found that women are lagging behind in terms of both literacy and employment. Findings of the study will help the planners to take necessary steps to improve the position of women.

Keywords: life expectancy, literacy, literate life expectancy, working life expectancy

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24142 Causes of Institutionalization of Children and Adolescents in a Shelter in Brazil

Authors: Eduardo Guilherme, Sabrina Duarte

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Shelters or orphanages are institutions responsible for ensuring the physical and mental integrity of children and adolescents who had their rights violated or neglected, whether from a social-leavers, is at personal risk to which they were exposed or the negligence of its parents; in Brazil about twenty thousand children and adolescents living in about five hundred registered shelters that receive funds from the federal government. We evaluated the records of institutionalized children and adolescents from the foundation of municipal shelter in Rio Negro/Parana State, Brazil since June/2000 to February/2015. Institutionalization of the causes cited were: lack of family/guardian material resources, abandonment by parents/guardians, domestic violence, substance abuse of parents/guardians, street experience, orphans and others. In Brazil, poverty and extreme poverty are closely related to the institutionalization of causes of children and adolescents. Census data in 2010, the Brazilian Institute of Geography and Statistics (IBGE) indicate that 40% of Brazilians living in poverty are girls and boys up to 14 years in a total of approximately 23 million individuals. Poverty denies children and adolescents their rights, representing a vulnerability which predisposes to some causes of shelter.

Keywords: Brazil, shelter, orphanages, institutionalization

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24141 A Comparative Analysis of the Lexicostatics of Usen, Edo and Yoruba

Authors: Mercy Itohan Aruya

Abstract:

This paper focuses on Usen, a speech form enclaved by the Edo communities in Ovia South West Local Government Area of Edo State, Nigeria. Usen lies at the border between Edo and the Osun state in Nigeria and has a population size of about a hundred and eighty thousand native speakers (2006 population census of Nigeria). Usen, as it is spoken today is highly endangered and it is serious struggling for survival. The aim, therefore, is to ascertain the linguistics status of Usen using a lexicostatical approach. Lexicostatics is a linguistic technique employed in accessing the degree of linguistic divergence or relatedness between two or more languages based on the proportion of cognates. Data for this study were collected from competent native speakers whose ages fall within the range of 40-65. The instrument for this study is the Ibadan 400 word-list of basic items which are collected with of a digital voice recorder. Our major finding in this paper reveals and establishes the facts that Usen speech form is not a dialect but a language of its own. However, Usen is more related to Yoruba than Edo as the degree of relatedness between Usen and Yoruba is 56.14% while that between Usen and Edo is about 21.4% as shown in this research effort.

Keywords: Usen, lexicostatistics, cognate words, language status

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24140 Mapping Crime against Women in India: Spatio-Temporal Analysis, 2001-2012

Authors: Ritvik Chauhan, Vijay Kumar Baraik

Abstract:

Women are most vulnerable to crime despite occupying central position in shaping a society as the first teacher of children. In India too, having equal rights and constitutional safeguards, the incidences of crime against them are large and grave. In this context of crime against women, especially rape has been increasing over time. This paper explores the spatial and temporal aspects of crime against women in India with special reference to rape. It also examines the crime against women with its spatial, socio-economic and demographic associates using related data obtained from the National Crime Records Bureau India, Indian Census and other government sources of the Government of India. The simple statistical, choropleth mapping and other cartographic representation methods have been used to see the crime rates, spatio-temporal patterns of crime, and association of crime with its correlates.  The major findings are visible spatial variations across the country and are also in the rising trends in terms of incidence and rates over the reference period. The study also indicates that the geographical associations are somewhat observed. However, selected indicators of socio-economic factors seem to have no significant bearing on crime against women at this level.

Keywords: crime against women, crime mapping, trend analysis, society

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24139 The Rocketing Raise of Bride Price in the Rural China: Intimacy and Family Changes Brought by Rural Urban Migration

Authors: Lei Liu

Abstract:

This paper concerns on a special phenomenon of rocketing of bride’s price in rural China after the rural-urban labor migration nowadays. It provides a brief overview of three major prospective on marriage exchange, especially impose the local marriage market due to the post-migration economic environments. Then the author highlights on several factors that influence the rocketing raise of rural marriage gifts using both the primary data from census 2010 and the interviews from the field study, such as one-child policy and the unbalanced sex ratio with the familiar context parents used different strategies in raising their sons and daughters so as to best hold their own interests, causing inequality between females and males. Then this was broken by the independence of rural women and the phenomenon of cross-regional marriage after the free mobility of labor resource between rural areas and urban areas which gives women equal rights to choose their spouses together with some publicly policies that accelerate the decline of patriarchy. In the end, the author spells out a framework of migration influence on rural marriage for some theoretical and policy implications of the findings.

Keywords: rural-urban migration, gender stratification, rural China, bride price, marriage

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24138 Prevalence and Inequality of Food Insecurity among U.S. Households During the Covid-19 Pandemic

Authors: Julia Yi

Abstract:

Using the Household Pulse Survey conducted by the U.S Census Bureau, this study finds that the pandemic increased the prevalence and inequality of food insecurity among US households. About 28% of households were food secure, which doubled the 2019 level. Hispanic and black, low-income households, households lost income, and households with children were impacted most. Food banks provided most free groceries and meals. This study recommends mobilizing emergency food organizations, improving food assistance programs and supply chains, and creating innovative community support.

Keywords: covid-19 pandemic, food insecurity, US, inequality

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24137 Processing Big Data: An Approach Using Feature Selection

Authors: Nikat Parveen, M. Ananthi

Abstract:

Big data is one of the emerging technology, which collects the data from various sensors and those data will be used in many fields. Data retrieval is one of the major issue where there is a need to extract the exact data as per the need. In this paper, large amount of data set is processed by using the feature selection. Feature selection helps to choose the data which are actually needed to process and execute the task. The key value is the one which helps to point out exact data available in the storage space. Here the available data is streamed and R-Center is proposed to achieve this task.

Keywords: big data, key value, feature selection, retrieval, performance

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24136 Evaluation of Kabul BRT Route Network with Application of Integrated Land-use and Transportation Model

Authors: Mustafa Mutahari, Nao Sugiki, Kojiro Matsuo

Abstract:

The four decades of war, lack of job opportunities, poverty, lack of services, and natural disasters in different provinces of Afghanistan have contributed to a rapid increase in the population of Kabul, the capital city of Afghanistan. Population census has not been conducted since 1979, the first and last population census in Afghanistan. However, according to population estimations by Afghan authorities, the population of Kabul has been estimated at more than 4 million people, whereas the city was designed for two million people. Although the major transport mode of Kabul residents is public transport, responsible authorities within the country failed to supply the required means of transportation systems for the city. Besides, informal resettlement, lack of intersection control devices, presence of illegal vendors on streets, presence of illegal and unstandardized on-street parking and bus stops, driver`s unprofessional behavior, weak traffic law enforcement, and blocked roads and sidewalks have contributed to the extreme traffic congestion of Kabul. In 2018, the government of Afghanistan approved the Kabul city Urban Design Framework (KUDF), a vision towards the future of Kabul, which provides strategies and design guidance at different scales to direct urban development. Considering traffic congestion of the city and its budget limitations, the KUDF proposes a BRT route network with seven lines to reduce the traffic congestion, and it is said to facilitate more than 50% of Kabul population to benefit from this service. Based on the KUDF, it is planned to increase the BRT mode share from 0% to 17% and later to 30% in medium and long-term planning scenarios, respectively. Therefore, a detailed research study is needed to evaluate the proposed system before the implementation stage starts. The integrated land-use transport model is an effective tool to evaluate the Kabul BRT because of its future assessment capabilities that take into account the interaction between land use and transportation. This research aims to analyze and evaluate the proposed BRT route network with the application of an integrated land-use and transportation model. The research estimates the population distribution and travel behavior of Kabul within small boundary scales. The actual road network and land-use detailed data of the city are used to perform the analysis. The BRT corridors are evaluated not only considering its impacts on the spatial interactions in the city`s transportation system but also on the spatial developments. Therefore, the BRT are evaluated with the scenarios of improving the Kabul transportation system based on the distribution of land-use or spatial developments, planned development typology and population distribution of the city. The impacts of the new improved transport system on the BRT network are analyzed and the BRT network is evaluated accordingly. In addition, the research also focuses on the spatial accessibility of BRT stops, corridors, and BRT line beneficiaries, and each BRT stop and corridor are evaluated in terms of both access and geographic coverage, as well.

Keywords: accessibility, BRT, integrated land-use and transport model, travel behavior, spatial development

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24135 Counting Fishes in Aquaculture Ponds: Application of Imaging Sonars

Authors: Juan C. Gutierrez-Estrada, Inmaculada Pulido-Calvo, Ignacio De La Rosa, Antonio Peregrin, Fernando Gomez-Bravo, Samuel Lopez-Dominguez, Alejandro Garrocho-Cruz, Jairo Castro-Gutierrez

Abstract:

The semi-intensive aquaculture in traditional earth ponds is the main rearing system in Southern Spain. These fish rearing systems are approximately two thirds of aquatic production in this area which has made a significant contribution to the regional economy in recent years. In this type of rearing system, a crucial aspect is the correct quantification and control of the fish abundance in the ponds because the fish farmer knows how many fishes he puts in the ponds but doesn’t know how many fishes will harvest at the end of the rear period. This is a consequence of the mortality induced by different causes as pathogen agents as parasites, viruses and bacteria and other factors as predation of fish-eating birds and poaching. Track the fish abundance in these installations is very difficult because usually the ponds take up a large area of land and the management of the water flow is not automatized. Therefore, there is a very high degree of uncertainty on the abundance fishes which strongly hinders the management and planning of the sales. A novel and non-invasive procedure to count fishes in the ponds is by the means of imaging sonars, particularly fixed systems and/or linked to aquatic vehicles as Remotely Operated Vehicles (ROVs). In this work, a method based on census stations procedures is proposed to evaluate the fish abundance estimation accuracy using images obtained of multibeam sonars. The results indicate that it is possible to obtain a realistic approach about the number of fishes, sizes and therefore the biomass contained in the ponds. This research is included in the framework of the KTTSeaDrones Project (‘Conocimiento y transferencia de tecnología sobre vehículos aéreos y acuáticos para el desarrollo transfronterizo de ciencias marinas y pesqueras 0622-KTTSEADRONES-5-E’) financed by the European Regional Development Fund (ERDF) through the Interreg V-A Spain-Portugal Programme (POCTEP) 2014-2020.

Keywords: census station procedure, fish biomass, semi-intensive aquaculture, multibeam sonars

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24134 Effects of Performance Appraisal on Employee Productivity in Yobe State University, Damaturu, (A Case Study of the Department of Islamic Studies)

Authors: Adam Abdullahi Mohammed

Abstract:

Performance appraisal is an assessment made to ensure the level of a worker’s productivity in a given period of time. The appraisal system is divided into two categories that are traditional methods and modern methods, with emphasis based on the evaluation of work results. In the traditional approach of staff appraisal, which puts more emphasis on individual traits, supervisors are required to measure employees through interactions based on what they achieved with reference to job descriptions, as well as rating them based on questionnaires without staff interaction. These methods are not effective because staff may give biased information. The study will attempt to assess the effect of performance appraisal on employee productivity at Yobe State University, Damaturu. It is aimed at assessing the process, methods, and objectives of performance appraisal and its feedback to know how they affect the success of the appraisal, its results, and employee productivity. In this study, a quantitative research method is adopted in collecting and analyzing data, and a questionnaire will be used as data collecting instrument. As it is a case study, the target population is the staff of the department of Islamic Studies. The research will employ a census sampling technique where all the subjects in the target populations are given a chance to participate in the study. This sampling method was considered because the entire target population is considered researchable. The expected findings are that staff performance appraisal in the department of Islamic Studies has effects on employee productivity; this is to say if it is given due consideration and the needful being done will improve employee productivity.

Keywords: performance appraisal, employee productivity, Yobe state University, appraisal feedback

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24133 Big Data for Local Decision-Making: Indicators Identified at International Conference on Urban Health 2017

Authors: Dana R. Thomson, Catherine Linard, Sabine Vanhuysse, Jessica E. Steele, Michal Shimoni, Jose Siri, Waleska Caiaffa, Megumi Rosenberg, Eleonore Wolff, Tais Grippa, Stefanos Georganos, Helen Elsey

Abstract:

The Sustainable Development Goals (SDGs) and Urban Health Equity Assessment and Response Tool (Urban HEART) identify dozens of key indicators to help local decision-makers prioritize and track inequalities in health outcomes. However, presentations and discussions at the International Conference on Urban Health (ICUH) 2017 suggested that additional indicators are needed to make decisions and policies. A local decision-maker may realize that malaria or road accidents are a top priority. However, s/he needs additional health determinant indicators, for example about standing water or traffic, to address the priority and reduce inequalities. Health determinants reflect the physical and social environments that influence health outcomes often at community- and societal-levels and include such indicators as access to quality health facilities, access to safe parks, traffic density, location of slum areas, air pollution, social exclusion, and social networks. Indicator identification and disaggregation are necessarily constrained by available datasets – typically collected about households and individuals in surveys, censuses, and administrative records. Continued advancements in earth observation, data storage, computing and mobile technologies mean that new sources of health determinants indicators derived from 'big data' are becoming available at fine geographic scale. Big data includes high-resolution satellite imagery and aggregated, anonymized mobile phone data. While big data are themselves not representative of the population (e.g., satellite images depict the physical environment), they can provide information about population density, wealth, mobility, and social environments with tremendous detail and accuracy when combined with population-representative survey, census, administrative and health system data. The aim of this paper is to (1) flag to data scientists important indicators needed by health decision-makers at the city and sub-city scale - ideally free and publicly available, and (2) summarize for local decision-makers new datasets that can be generated from big data, with layperson descriptions of difficulties in generating them. We include SDGs and Urban HEART indicators, as well as indicators mentioned by decision-makers attending ICUH 2017.

Keywords: health determinant, health outcome, mobile phone, remote sensing, satellite imagery, SDG, urban HEART

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