Search results for: demographic indicators

Authors: Morar (Bumbu) Nicoleta Ileana

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Located in the northeastern part of Romania in a cross-border area, Bucovina region, due to historical events that took place here, is characterized by the cohabitation in the same area of a significant number of ethnic communities, represented in 54% by rural population. In addition to providing the natural, economic history and decision makers, the demographic component is responsible for the region's development trajectory to which it belongs. The influence that people exert on rural development is shown by the values of the different demographic indicator. This study will analyze the demographic indicators obtained against a strong database, emphasizing the indicators that favor the rural development of the region and those that prevent it. The study is useful in defining the rightful directions that rural economic development can focus on, also representing an important tool in developing strategies for the development of rural settlements of Bucovina region.

Keywords: Bucovina, development directions, demographic indicators, rural development

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Authors: Esra Polat

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Partial Least Squares Discriminant Analysis (PLSDA) is a statistical method for classification and consists a classical Partial Least Squares Regression (PLSR) in which the dependent variable is a categorical one expressing the class membership of each observation. PLSDA can be applied in many cases when classical discriminant analysis cannot be applied. For example, when the number of observations is low and when the number of independent variables is high. When there are missing values, PLSDA can be applied on the data that is available. Finally, it is adapted when multicollinearity between independent variables is high. The aim of this study is to determine the economic and/or demographic indicators, which are effective in grouping the 28 European Union (EU) member countries and 7 candidate countries (including potential candidates Bosnia and Herzegovina (BiH) and Kosova) by using the data set obtained from database of the World Bank for 2014. Leaving the political issues aside, the analysis is only concerned with the economic and demographic variables that have the potential influence on country’s eligibility for EU entrance. Hence, in this study, both the performance of PLSDA method in classifying the countries correctly to their pre-defined groups (candidate or member) and the differences between the EU countries and candidate countries in terms of these indicators are analyzed. As a result of the PLSDA, the value of percentage correctness of 100 % indicates that overall of the 35 countries is classified correctly. Moreover, the most important variables that determine the statuses of member and candidate countries in terms of economic indicators are identified as 'external balance on goods and services (% GDP)', 'gross domestic savings (% GDP)' and 'gross national expenditure (% GDP)' that means for the 2014 economical structure of countries is the most important determinant of EU membership. Subsequently, the model validated to prove the predictive ability by using the data set for 2015. For prediction sample, %97,14 of the countries are correctly classified. An interesting result is obtained for only BiH, which is still a potential candidate for EU, predicted as a member of EU by using the indicators data set for 2015 as a prediction sample. Although BiH has made a significant transformation from a war-torn country to a semi-functional state, ethnic tensions, nationalistic rhetoric and political disagreements are still evident, which inhibit Bosnian progress towards the EU.

Keywords: classification, demographic indicators, economic indicators, European Union, partial least squares discriminant analysis

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Authors: Apollinaire Barme, Simon Tamayo, Arthur Gaudron

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This paper presents a statistical approach to identify explanatory variables linearly related to e-commerce sales. The proposed methodology allows specifying a regression model in order to quantify the relevance between openly available data (economic and demographic) and national e-commerce sales. The proposed methodology consists in collecting data, preselecting input variables, performing regressions for choosing variables and models, testing and validating. The usefulness of the proposed approach is twofold: on the one hand, it allows identifying the variables that influence e- commerce sales with an accessible approach. And on the other hand, it can be used to model future sales from the input variables. Results show that e-commerce is linearly dependent on 11 economic and demographic indicators.

Keywords: e-commerce, statistical modeling, regression, empirical research

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Authors: Navodita Mishra, T. J. Kamalanabhan

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Purpose: The primary purpose of this study was to identify the antecedents of sports commitment among cricket players and to understand demographic variables that may impact these factors. Commitment towards one’s sports plays a crucial role in determining discipline and efforts of the player. Moreover, demographic variables would seem to play an important role in determining which factors or predictors have the greatest impact on commitment level. Design /methodology/approach: This study hypothesized the effect of demographic factors on sports commitment among cricket players. It attempts to examine the extent to which demographic factors can differentially motivate players to exhibit commitment towards their respective sport. Questionnaire survey method was adopted using purposive sampling technique. Using Multiple Regression, ANOVA, and t-test, the hypotheses were tested based on a sample of 350 players from Cricket Academy. Findings: Our main results from the multivariate analysis indicated that enjoyment and leadership of coach and peer affect the level of commitment to a greater extent whereas personal investment is a significant predictor of commitment among rural background players Moreover, level of sport commitment among players is positively related to household income, the rural background players participate in sports to a greater extent than the urban players, there is no evidence of regional differentials in commitment but age differences (i.e. U-19 vs. U-25) play an important role in the decision to continue the participation in sports.

Keywords: Individual Sports Commitment, demographic indicators, cricket, player motivation

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Authors: Lina Feng

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The study aimed at establishing quality evaluation indicators of an early education center for 0~3 years old, and defining the weight system of it. Expert questionnaire and Fuzzy Delphi method were applied. Firstly, in order to ensure the indicators in accordance with the practice of early education, 16 experts were invited as respondents to a preliminary Expert Questionnaire about Quality Evaluation Indicators of Early Education Center for 0~3 Years Old. The indicators were based on relevant studies on quality evaluation indicators of early education centers in China and abroad. Secondly, 20 scholars, kindergarten principals, and educational administrators were invited to form a fuzzy Delphi expert team. The experts’ opinions on the importance of indicators were calculated through triangle fuzzy numbers in order to select appropriate indicators and calculate indicator weights. This procedure resulted in the final Quality Evaluation Indicators of Early education Center for 0~3 Years Old. The Indicators contained three major levels, including 6 first-level indicators, 30 second-level indicators, and 147 third-level indicators. The 6 first-level indicators were health and safety; educational and cultivating activities; development of babies; conditions of the center; management of the center; and collaboration between family and the community. The indicators established by this study could provide suggestions for the high-quality environment for promoting the development of early year children.

Keywords: early education center for 0~3 years old, educational management, fuzzy delphi method, quality evaluation indicator

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Authors: Nyussupova Gulnara, Kenespayeva Laura, Kelinbayeva Roza, Aubakirova Gaukhar, Zhumagulov Chingiz, Aidarkhanova Gaukhar

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The article analyzes the development of demographic processes in four regions of the Western region of the Republic of Kazakhstan (Aktobe, Atyrau, West Kazakhstan, and Mangystau) for the period from 2000 to 2022. This study uses theoretical and methodological analysis of scientific literature, methods of comparative, statistical analysis, GIS methods, grouping and systematization, index method and structural analysis. The research identified regional characteristics, development trends, and disproportions in the population of the studied areas within the framework of sustainable demographic development. The population dynamics, the age-sex structure of the population, life expectancy, natural movement of the population, including maternal and infant mortality, are considered as important indicators of the region’s sustainability. The features of migration processes in the Western region of Kazakhstan and the factors that determine them are identified. Conclusions are drawn about the level of sustainable development of the population of the studied region based on demographic processes. The results obtained will provide scientific, methodological and information support in the sectors of economics and science, including the preparation of socio-economic development programs and the development of scientific research using GIS.

Keywords: sustainable development, demographic processes, Western Region, Republic of Kazakhstan, population structure, natural population movement, migration

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Authors: Heribert R. Kaijage, Samuel N. A. Codjoe, Simon H. D. Mamuya, Mangi J. Ezekiel

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There is strong evidence that climate has changed significantly affecting various sectors including public health. The recommended feasible solution is adopting development trajectories which combine both mitigation and adaptation measures for improving resilience pathways. This approach demands a consideration for complex interactions between climate and social-ecological systems. While other sectors such as agriculture and water have developed climate resilience indices, the public health sector in Tanzania is still lagging behind. The aim of this study was to find out how can we use Demographic and Health Surveys (DHS) linked with Remote Sensing (RS) technology and metrological information as tools to inform climate change resilient development and evaluation for the health sector. Methodological review was conducted whereby a number of studies were content analyzed to find appropriate indicators and indices for climate resilience household and their integration approach. These indicators were critically reviewed, listed, filtered and their sources determined. Preliminary identification and ranking of indicators were conducted using participatory approach of pairwise weighting by selected national stakeholders from meeting/conferences on human health and climate change sciences in Tanzania. DHS datasets were retrieved from Measure Evaluation project, processed and critically analyzed for possible climate change indicators. Other sources for indicators of climate change exposure were also identified. For the purpose of preliminary reporting, operationalization of selected indicators was discussed to produce methodological approach to be used in resilience comparative analysis study. It was found that household climate resilient index depends on the combination of three indices namely Household Adaptive and Mitigation Capacity (HC), Household Health Sensitivity (HHS) and Household Exposure Status (HES). It was also found that, DHS alone cannot complement resilient evaluation unless integrated with other data sources notably flooding data as a measure of vulnerability, remote sensing image of Normalized Vegetation Index (NDVI) and Metrological data (deviation from rainfall pattern). It can be concluded that if these indices retrieved from DHS data sets are computed and scientifically integrated can produce single climate resilience index and resilience maps could be generated at different spatial and time scales to enhance targeted interventions for climate resilient development and evaluations. However, further studies are need to test for the sensitivity of index in resilience comparative analysis among selected regions.

Keywords: climate change, resilience, remote sensing, demographic and health surveys

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Authors: Sultan S. Alsajjan

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Understanding the public governance in Middle East's countries is one of the challenging matters for any researcher. The Middle East, for the last century, has been in fluctuated situations. Understating the public governance in Saudi Arabia is an extra challenge because Saudi Arabia has its unique culture and political system. The World Bank had launched 1996 Worldwide Governance Indicators. These indicators assist any country to rank its position in public governance how it is performing in this field. Saudi Arabia had ranked in some worldwide governance indicators at the bottom of indicators' list. For instance, according to the Worldwide Governance indicator (2018), Saudi Arabia had ranked in 192 out of 204 countries in 'Voice and Accountability Indicator'. In this paper, the reader will find in-depth analysis and evaluation of Saudi Arabia's positions in Worldwide Governance Indicators. Saudi Arabia had never considered the concept of public governance and worldwide governance indicators because of its economic situation, political characteristics, and social nature.

Keywords: pubic governance, Middle East, Saudi Arabia, and worldwide governance indicators

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Authors: Behnaz Farahani, Abbas Mirzaei

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This study explores association between circadian rhythm pattern and some demographic incidences. The participants targeting 193 (97 females and 96 males between the ages of 20-30 years) Iranian bachelor students from Islamic Azad University who completed the self-reported over the 2nd semester 2011-2012 university year. The questionnaire has been tailored amalgamation of Horn & Östberg Questionnaire (MEQ) and Demographic Incidences Questionnaire in order to measure the students circadian rhythm pattern and their Demographic Incidences. The finding of this quantitative, descriptive, cross-sectional analysis confirmed the hypothesis in that 'circadian rhythm pattern' was positively associated with the demographic indices like age, marital status, gender, day in week and month of the birth time, and parent’s age and educational level at the time of the birth of the samples.

Keywords: circadian rhythm pattern, demographic incidences, morning type, evening type

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Authors: Marinela Istrate, Ionel Muntele, Alexandru Bănică

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The authors propose the identification, analysis and prognosis of the quantitative and qualitative evolution of the elderly population in the functional urban areas. The present paper takes into account the analysis of some representative indicators (the weight of the elderly population, ageing index, dynamic index of economic ageing of productive population etc.) and the elaboration of an integrated indicator that would help differentiate the population ageing forms in the 48 functional urban areas that were defined based on demographic and social-economic criteria for all large and medium cities in Romania.

Keywords: ageing, demographic transition, functional urban areas, spatial resilience

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Authors: Vincent A. Adzika, Franklin N. Glozah, Collins S. K. Ahorlu

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Background: Sickle Cell Disease (SCD) is of major public-health concern globally, with majority of patients living in Africa. Despite its relevance, there is a dearth of research to determine the socio-demographic distribution and psychosocial impact of SCD in Africa. The objective of this study therefore was to examine the socio-demographic distribution and psychosocial consequences of SCD among patients in Ghana and to assess their quality of life and coping mechanisms. Methods: A cross-sectional research design was used, involving the completion of questionnaires on socio-demographic characteristics, quality of life of individuals, anxiety and depression. Participants were 387 male and female patients attending a sickle cell clinic in a public hospital. Results: Results showed no gender and marital status differences in anxiety and depression. However, there were age and level of education variances in depression but not in anxiety. In terms of quality of life, patients were more satisfied by the presence of love, friends, relatives as well as home, community and neighbourhood environment. While pains of varied nature and severity were the major reasons for attending hospital in SCD condition, going to the hospital as well as having Faith in God was the frequently reported mechanisms for coping with an unbearable SCD attacks. Multiple regression analysis showed that some socio-demographic and quality of life indicators had strong associations with anxiety and/or depression. Conclusion: It is recommended that a multi-dimensional intervention strategy incorporating psychosocial dimensions should be considered in the treatment and management of SCD.

Keywords: anxiety, depression, sickle cell disease, socio-demographic quality of life, characteristics, Ghana

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Authors: Shirley Kuo

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The main purpose of this study is to develop sustainable indicators for Taiwan, and using the Delphi method to find that our tourist areas can progress in a sustainable way. We need a lot of infrastructures and policies to develop tourist areas, and with proper KPI indicators can reduce the destruction of the natural and ecological environment. This study will first study the foreign certification experiences, because Taiwan is currently in the development stage, and then the methodology will explain in-depth interviews using the Delphi method, and then there is discussion about which KPI indicators Taiwan currently needs. In this study current progress is a deep understanding of national sustainable tourism certification and KPI indicators.

Keywords: sustainable tourism, certification, KPI indicators, Delphi method

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Authors: Malathi Iyer, Jayesh Vaidya

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The demographic dividend of India will last for thirty years from now. However, reduction in birth rate, an increase in working population, improvements in medicine and better health practices lead to an ever-expanding elderly population, bringing additional burden to the economy and putting an end to the demographic dividend. To reap the dividend India needs to train the youth for employability. The need of the hour is to improve their life skills which lead the youth to become industrious and have continuous employment. The study will be conducted in perceiving the skill gaps that exist in commerce students for employability. The analysis results indicate the relation between the core study and the right skills for the workforce, with the steps that are taken to open the window for the demographic dividend.

Keywords: demographic dividend, life skills, employability, workforce

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Authors: Reza Safari, Ali Rajabzadeh Ghatari, Raheleh Hossseinzadeh Mahabadi

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In the present world, there are different pressures on firms such as competition, legislations, social etc. these pressures force the firms to follow “survival” as their primary goal and then growth. One of the main factors that helps firms to reach their goals is proper financial performance. To find out about the financial performance, a firm should monitors its financial performance. Financial performance affected by many factors. This research seeks to clear which financial performance indicators are most important according to Environmental situation of a firm and what are their priorities. To do so, environmental indicators specified as presented on OECD Key Environmental Indicators 2008 and so the financial performance indicators such as Profitability, Liquidity, Gearing, Investor ratios, and etc. At this stage, the affections questioned through questionnaires. After gaining the results, data analyzed using Promethee technique. By using decision matrixes extracted from those techniques an expert system designed. This expert system suggests the suitable financial performance indicators and their ranking by receiving the environment situation given environment indicators weight.

Keywords: environment indicators, financial performance indicators, promethee, expert system

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Authors: Reihaneh Rafiemanzelat, Maryam Baradaran

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Creating healthy communities that are sustainable and livable is a desire of policy makers in European countries. Indicators have used at the level of international, national, state to evaluate the level of health in cities and regions. Therefore, there are many challenges in the assumption of health and planning indicators. This research provides an overview of health indicators used to date in Europe according to World Health Organization (WHO) strategy. It then discusses on how indicators have been successful to the creation of healthy, livable and sustainable cities in Europe. This research is based on qualitative research to review the documentary researches on health issue and urban planning. The result will show the positive and negative effects of in process indicators on European cities.

Keywords: healthy community, livability, sustainability, WHO strategy

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Authors: Chalermsri Sorasit, Siriporn Mongkhonthawornchai, Darawan Augsornwan, Sudthanom Kamollirt

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Background: Although knowledge of pain and pain management is improving, they are still inadequate to patients. The Nursing Division of Srinagarind Hospital is responsible for setting the pain management system, including work instruction development and pain management indicators. We have developed an information technology program for monitoring pain quality indicators, which was implemented to all nursing departments in April 2013. Objective: To study outcomes of acute pain management in process and outcome indicators. Method: This is a retrospective descriptive study. The sample population was patients who had acute pain 24-48 hours after receiving a procedure, while admitted to Srinagarind Hospital in 2014. Data were collected from the information technology program. 2709 patients with acute pain from 10 Nursing Departments were recruited in the study. The research tools in this study were 1) the demographic questionnaire 2) the pain management questionnaire for process indicators, and 3) the pain management questionnaire for outcome indicators. Data were analyzed and presented by percentages and means. Results: The process indicators show that nurses used pain assessment tool and recorded 99.19%. The pain reassessment after the intervention was 96.09%. The 80.15% of the patients received opioid for pain medication and the most frequency of non-pharmacological intervention used was positioning (76.72%). For the outcome indicators, nearly half of them (49.90%) had moderate–severe pain, mean scores of worst pain was 6.48 and overall pain was 4.08. Patient satisfaction level with pain management was good (49.17%) and very good (46.62%). Conclusion: Nurses used pain assessment tools and pain documents which met the goal of the pain management process. Patient satisfaction with pain management was at high level. However the patients had still moderate to severe pain. Nurses should adhere more strictly to the guidelines of pain management, by using acute pain guidelines especially when pain intensity is particularly moderate-high. Nurses should also develop and practice a non-pharmacological pain management program to continually improve the quality of pain management. The information technology program should have more details about non-pharmacological pain techniques.

Keywords: outcome, pain management, acute pain, Srinagarind Hospital

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Authors: Oluwafunmibi Omotayo Fasanya, Augustine Kena Adjei

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To develop a machine learning model to predict diabetes (DM) prevalence in the U.S. population using demographic characteristics, physical indicators, and lifestyle habits, and to analyze how these factors contribute to the likelihood of diabetes. We analyzed data from 23,546 participants aged 20 and older, who were non-pregnant, from the 2009-2018 National Health and Nutrition Examination Survey (NHANES). The dataset included key demographic (age, sex, ethnicity), physical (BMI, leg length, total cholesterol [TCHOL], fasting plasma glucose), and lifestyle indicators (smoking habits). A weighted sample was used to account for NHANES survey design features such as stratification and clustering. A classification machine learning model was trained to predict diabetes status. The target variable was binary (diabetes or non-diabetes) based on fasting plasma glucose measurements. The following models were evaluated: Logistic Regression (baseline), Random Forest Classifier, Gradient Boosting Machine (GBM), Support Vector Machine (SVM). Model performance was assessed using accuracy, F1-score, AUC-ROC, and precision-recall metrics. Feature importance was analyzed using SHAP values to interpret the contributions of variables such as age, BMI, ethnicity, and smoking status. The Gradient Boosting Machine (GBM) model outperformed other classifiers with an AUC-ROC score of 0.85. Feature importance analysis revealed the following key predictors: Age: The most significant predictor, with diabetes prevalence increasing with age, peaking around the 60s for males and 70s for females. BMI: Higher BMI was strongly associated with a higher risk of diabetes. Ethnicity: Black participants had the highest predicted prevalence of diabetes (14.6%), followed by Mexican-Americans (13.5%) and Whites (10.6%). TCHOL: Diabetics had lower total cholesterol levels, particularly among White participants (mean decline of 23.6 mg/dL). Smoking: Smoking showed a slight increase in diabetes risk among Whites (0.2%) but had a limited effect in other ethnic groups. Using machine learning models, we identified key demographic, physical, and lifestyle predictors of diabetes in the U.S. population. The results confirm that diabetes prevalence varies significantly across age, BMI, and ethnic groups, with lifestyle factors such as smoking contributing differently by ethnicity. These findings provide a basis for more targeted public health interventions and resource allocation for diabetes management.

Keywords: diabetes, NHANES, random forest, gradient boosting machine, support vector machine

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Authors: Miguel José Oliveira, Fátima Farinha, Elisa M. J. da Silva, Rui Lança, Manuel Duarte Pinheiro, Cátia Miguel

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The Observatory of Sustainability of the Algarve Region for Tourism (OBSERVE) will be a valuable tool to assess the sustainability of this region. The OBSERVE tool is designed to provide data and maintain an up-to-date, consistent set of indicators defined to describe the region on the environmental, sociocultural, economic and institutional domains. This ongoing two-year project has the active participation of the Algarve’s stakeholders, since they were consulted and asked to participate in the discussion for the indicators proposal. The environmental and sociocultural indicators chosen must indicate the characteristics of the region and should be in alignment with other global systems used to monitor the sustainability. This paper presents a review of sustainability indicators systems that support the first proposal for the environmental and sociocultural indicators. Others constraints are discussed, namely the existing data and the data available in digital platforms in a format suitable for automatic importation to the platform of OBSERVE. It is intended that OBSERVE will be a valuable tool to assess the sustainability of the region of Algarve.

Keywords: Algarve, development, environmental indicators, observatory, sociocultural indicators, sustainability, tourism

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Authors: Milind Bharambe, Chander Shekhar

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India is a vast country with its 1.21 billion population at the dawn of new decade, which accounts for one sixth of the global human capital in the world today. It is well known that health expenditure in India is dominated by private spending. This is an unfortunate consequence of India’s development because of large positive externality associated with health spending, which make health a merit good. This paper has used data from NSSO and Indian Government’s spending on health as reported by Ministry of Health and Family Welfare. Understanding of the dynamism of age-structure of the population would greatly optimize the expenditure on health care services. A country with good public health indicators is bound to possess good human capital which is an asset to the economic growth and indicator of development status of country. The paper tries to present the linkages between the health expenditure incurred by different states at various levels of demographic transition levels and the efficiency in utilization of health expenditure. It also looks into the way in which allocative efficiency health services can be improved. Paper tries to explore the per capita spending on health and how the demographic transition taking place in different states of India affect the required quantity and quality of health services.

Keywords: age structure, demographic transition, health expenditure, morbidity

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Authors: Fitri CaturLestari

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According to National Population and Family Planning Board (BKKBN), demographic bonus will occur in 2025-2035, when the number of people within the productive age bracket is higher than the number of elderly people and children. This time will be a gold moment for Indonesia to achieve maximum productivity and prosperity. But it will be a demographic bomb if it isn’t balanced by economic and social aspect considerations. Therefore it is important to make a prediction mapping of all provinces in Indonesia whether in demographic bomb or bonus condition after 100 years Indonesian independence. The purpose of this research were to make the demographic mapping based on the economic and social aspects of the provinces in Indonesia and categorizing them into demographic bomb and bonus condition. The research data are gained from Statistics Indonesia (BPS) as the secondary data. The multiregional component method, regression and quadrant analysis were used to predict the number of people, economic growth, Human Development Index (HDI), and gender equality in education and employment. There were different characteristic of provinces in Indonesia from economic aspect and social aspect. The west Indonesia was already better developed than the east one. The prediction result, many provinces in Indonesia will get demographic bonus but the others will get demographic bomb. It is important to prepare particular strategy to particular provinces with all of their characteristic based on the prediction result so the demographic bomb can be minimalized.

Keywords: demography, economic growth, gender, HDI

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Authors: Steven Wright

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This paper argues that there is an opportunity for PCH to further expand its relevance within the Canadian policy context by taking advantage of the growing international trend of using social indicators for public policy evaluation. Within the mandate and vision of PCH, there is an incomplete understanding of the value that the arts and culture provide for Canadians, specifically with regard to four social indicators: community development, civic engagement, life satisfaction, and work-life balance. As will be shown, culture and the arts have a unique role to play in such quality of life indicators, and there is an opportunity for PCH to aid in the development of a comprehensive national framework that includes these indicators. This paper lays out approach to understanding how social indicators may be included in the Canadian context by first illustrating recent trends in policy evaluation on a national and international scale. From there, a theoretical analysis of the connection between cultural policy and social indicators is provided. The second half of the paper is dedicated to explaining the shortcomings of Canadian cultural policy evaluation in terms of its tendency to justify expenditures related to arts and cultural activities in purely economic terms, and surveying how other governments worldwide are leading the charge in this regard.

Keywords: social indicators, evaluation, cultural policy, arts

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Authors: M. Kashiripoor

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Existing indicators for sustainable urban development do not identify the features of cities’ planning structures and their architecture. Iranian city has special relevance problem of assessing the conformity of their planning and development of the concept of sustainable development. Based on theoretical sources, the author concludes that, despite the existence of common indicators for sustainable development of settlements, specialized evaluation criteria city structure planning has not been developed. He is trying to fill this gap and put forward a system of indicators characterizing the level of development of the architectural-planning structure of the city. The proposed system of indicators is designed based on technical and economic urban standard indicators from different countries. Alternative designing systems and requirements of modern rating systems like LEED-ND comprise a criterion for evaluation of urban structures in accordance with principles of "Green" building and New Urbanism. Urban development trends are close in spirit of sustainable development and developed under its influence. The study allowed concluding that a system of indicators to identify the relevant architectural-planning structure of the city, requirements of sustainable development, should be adapted to the conditions of each country, particularly in Iran. The article attempts typology proposed indicators, which are presented in tabular form and are divided into two types: planning and spatial. This article discusses the known indicators of sustainable development and proposed specific system of indicators characterizing the level of development of architectural-planning structure of the city. This article examines indicators for evaluating level of city' planning structure development. The proposed system of indicators is derived from the urban planning standards and rating systems such as LEED-ND, BREEAM Community and CASBEE-UD.

Keywords: architectural-planning structure of cities, urban planning indicators, urban space indicators, urban development

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Authors: Mehdi Moeinaddini, Zohreh Asadi-Shekari, Muhammad Zaly Shah, Amran Hamzah

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Currently, planners try to have more green travel options to decrease economic, social and environmental problems. Therefore, this study tries to find significant urban travel factors to be used to increase the usage of alternative urban travel modes. This paper attempts to identify the relationship between prominent urban mobility indicators and daily trips by public transport in 30 cities from various parts of the world. Different travel modes, infrastructures and cost indicators were evaluated in this research as mobility indicators. The results of multi-linear regression analysis indicate that there is a significant relationship between mobility indicators and the daily usage of public transport.

Keywords: green travel modes, urban travel indicators, daily trips by public transport, multi-linear regression analysis

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Authors: L. Aparecida Bastos, J. Leige Lopes, J. Crepaldi, R. Monteiro da Silva

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The objective of this study is to analyze the evolution of some social and economic indicators of Mercosur´s economies from 1980 to 2012, based on the statistics of the Latin American Integration Association (LAIA). The objective is to observe if after the accession of these economies to Mercosur (the first accessions occurred in 1994) these indicators showed better performance, in order to demonstrate if economic integration contributed to improved trade, macroeconomic performance, and level of social and economic development of member countries. To this end, the methodologies used will be a literature review and descriptive statistics. The theoretical framework that guides the work are the theories of Integration: Classical Liberal, Marxist and structural-proactive. The results reveal that most social and economic indicators showed better performance in those economies that joined Mercosur after 1994. This work is the result of an investigation already completed.

Keywords: economic integration, Mercosur, social indicators, economic indicators

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Authors: I. Erins, J. Erina

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The aim of the present article is to determine the impact of the external and internal factors of bank performance on the profitability indicators of the CEE countries banks in the period from 2006 to 2012. On the basis of research conducted abroad on bank and macroeconomic profitability indicators, in order to obtain research results, the authors evaluated return on average assets (ROAA) and return on average equity (ROAE) indicators of the CEE countries banks. The authors analyzed profitability indicators of banks using descriptive methods, SPSS data analysis methods as well as data correlation and linear regression analysis. The authors concluded that most internal and external indicators of bank performance have no direct effect on the profitability of the banks in the CEE countries. The only exceptions are credit risk and bank size which affect one of the measures of bank profitability–return on average equity.

Keywords: banks, CEE countries, profitability ROAA, ROAE

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Authors: S. Rezaei, Z. Mirzaei, M. Khalighi, J. Bahrami

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Bridges, as an essential part of road infrastructures, are affected by various deterioration mechanisms over time due to the changes in their performance. As changes in performance can have many negative impacts on society, it is essential to be able to evaluate and measure the performance of bridges throughout their life. This evaluation includes the development or the choice of the appropriate performance indicators, which, in turn, are measured based on the selection of appropriate models for the existing deterioration mechanism. The purpose of this article is a statistical study of indicators and deterioration mechanisms of bridges in order to discover further research capacities in bridges performance assessment. For this purpose, some of the most common indicators of bridge performance, including reliability, risk, vulnerability, robustness, and resilience, were selected. The researches performed on each index based on the desired deterioration mechanisms and hazards were comprehensively reviewed. In addition, the formulation of the indicators and their relationship with each other were studied. The research conducted on the mentioned indicators were classified from the point of view of deterministic or probabilistic method, the level of study (element level, object level, etc.), and the type of hazard and the deterioration mechanism of interest. For each of the indicators, a number of challenges and recommendations were presented according to the review of previous studies.

Keywords: bridge, deterioration mechanism, lifecycle, performance indicator

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Authors: Katherine Arquio

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Community-based Forest Management (CBFM) is one of the integrative programs that slowly turned the course of forest management from traditional corporate to community-based practice resulting to people empowerment. As such, one of its goals is to promote socio-economic welfare among the people in the community in which social equity is included. This study aims to look at the equity aspect of the program, particularly if there are equity differences between two CBFM sites- Matikiw in Pakil, Laguna and Minayutan and Bacong Sigsigan in Famy, Laguna. Equity indicators were identified first, since these will be the basis of the questions that will be asked on the survey, after this, the survey proper was conducted, and finally, the analysis. Two tailed t-test was used as statistical tool since the difference between the two sites is the focus of the study. Statistical analysis was done through the use of STATA program, a statistical software. There were 32 indicators identified and results showed that, out of these indicators, only 13 were found significantly different between the two. The 13 indicators were significantly observed only in Matikiw; the other 19 indicators were commonly observed in both areas and are conducive as equity indicators for the CBFM program.

Keywords: social equity, CBFM, social forestry, equity indicators

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Authors: Ramona Zharfpeykan

Abstract:

The concept of sustainability is generally considered as a key topic in many countries, and sustainability reporting is becoming an important tool for companies to communicate their sustainability plans and performance to their stakeholders. There have been various studies on factors that may influence sustainability reporting in companies. This study examines the possible effect of some of the organisational factors on corporate sustainability reporting. The organisational factors included in this study are a company’s type (public or private), industry, and size as well as managers’ perception of the level of importance of indicators in reporting these indicators. A survey was conducted from 240 Australian and New Zealand companies in various industries. They were asked about their perception of the importance of sustainability indicators in their performance and if they report these indicators. The GRI indicators used to develop the survey. A multiple regression model was developed using reporting strategy score as dependent and type, size, industry categorisation, and managers’ perception of the level of importance of the GRI indicators as independent factors. The results show that among all the factors included in the model, size of a company and the perception of managers of the level of importance of environmental and labour practice indicators can affect the sustainability scores of these companies.

Keywords: sustainability reporting, global reporting initiative, sustainability reporting strategy, organisational features

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Authors: Muyatdinova Aigul, Aitkaliyeva Madina

Abstract:

The article deals with the evaluation of the quality of medical services on the basis of quality indicators. For this purpose allocated initially the features of the medical services market. The Features of the market directly affect on the evaluation process that takes a multi-level and multi-stakeholder nature. Unlike ordinary goods market assessment of medical services does not only market. Such an assessment is complemented by continuous internal and external evaluation, including experts and accrediting bodies. In the article highlighted the composition of indicators for a comprehensive evaluation

Keywords: health care market, quality of health services, indicators of care quality

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Authors: Maciej Zaręba, Sławomir Lasota

Abstract:

Knowing the degree of dependencies between the sets of input signals and selected sets of indicators that measure a production system's effectiveness is of great importance in the industry. This paper introduces the SELM method that enables the selection of sets of input signals, which affects the most the selected subset of indicators that measures the effectiveness of a production system. For defined set of output indicators, the method quantifies the impact of input signals that are gathered in the continuous monitoring production system.

Keywords: manufacturing operation management, signal relationship, continuous monitoring, production systems

Procedia PDF Downloads 119