scholarly journals Spatial Characteristics of Life Expectancy and Geographical Detection of Its Influencing Factors in China

2020 ◽  
Vol 17 (3) ◽  
pp. 906 ◽  
Author(s):  
Yafei Wu ◽  
Ke Hu ◽  
Yaofeng Han ◽  
Qilin Sheng ◽  
Ya Fang
Keyword(s):  
College Students ◽  
Environmental Factors ◽  
Life Expectancy ◽  
Influencing Factors ◽  
Health Improvement ◽  
Spatial Characteristics ◽  
Two Factors ◽  
Per Capita ◽  
Urbanization Rate ◽  
The Impact

Life expectancy (LE) is a comprehensive and important index for measuring population health. Research on LE and its influencing factors is helpful for health improvement. Previous studies have neither considered the spatial stratified heterogeneity of LE nor explored the interactions between its influencing factors. Our study was based on the latest available LE and social and environmental factors data of 31 provinces in 2010 in China. Descriptive and spatial autocorrelation analyses were performed to explore the spatial characteristics of LE. Furthermore, the Geographical Detector (GeoDetector) technique was used to reveal the impact of social and environmental factors and their interactions on LE as well as their optimal range for the maximum LE level. The results show that there existed obvious spatial stratified heterogeneity of LE, and LE mainly presented two clustering types (high–high and low–low) with positive autocorrelation. The results of GeoDetector showed that the number of college students per 100,000 persons (NOCS) could mainly explained the spatial stratified heterogeneity of LE (Power of Determinant (PD) = 0.89, p < 0.001). With the discretization of social and environmental factors, we found that LE reached the highest level with birth rate, total dependency ratio, number of residents per household and water resource per capita at their minimum range; conversely, LE reached the highest level with consumption level, GDP per capita, number of college students per 100,000 persons, medical care expenditure and urbanization rate at their maximum range. In addition, the interaction of any two factors on LE was stronger than the effect of a single factor. Our study suggests that there existed obvious spatial stratified heterogeneity of LE in China, which could mainly be explained by NOCS.

scholarly journals An Empirical Study on the Influencing Factors of College Students’ Privacy Concern

2021 ◽  
Vol 8 (6) ◽  
pp. 161-166
Author(s):  
Yu Peng ◽  
Keyword(s):  
College Students ◽  
Environmental Factors ◽  
Empirical Study ◽  
Influencing Factors ◽  
Privacy Concern ◽  
Privacy Concerns ◽  
Internet Privacy ◽  
Secondary Use ◽  
Privacy Risks ◽  
Privacy Issues

In recent years, privacy issues have attracted more and more attention. This paper combines existing research and the CFIP scale to construct a model of college students’ concerns about Internet privacy, and validates the model based on data from 445 questionnaires. The results show that perceived privacy risks, privacy control, privacy tendencies, misrepresentation, improper access, and unauthorized secondary use all have a significant impact on privacy concerns, and environmental factors have a more significant impact on privacy concerns. On this basis, relevant suggestions are provided.

scholarly journals The Role of Energy in Development

2017 ◽  
Vol 28 (1) ◽  
pp. 54 ◽  
Author(s):  
Philip J. Lloyd
Keyword(s):  
Energy Consumption ◽  
Life Expectancy ◽  
World Bank ◽  
Carbon Dioxide Emissions ◽  
Developing Nations ◽  
Kuznets Curve ◽  
Development Indicators ◽  
Average Value ◽  
Per Capita ◽  
The Impact

AbstractUsing World Bank Development Indicators, it is shown that the use of energy is strongly related to almost every conceivable aspect of development. Wealth, health, nutrition, water, infrastructure, education, even life expectancy itself, are strongly and significantly related to the consumption of energy per capita. In general, the approach taken was to break the consumption of energy into three or more classes, to calculate the average value of the relevant indicator in each class, and to demonstrate that the average value in one class was statistically different, at above the 95% confidence level, from the average in adjacent classes. In the case of life expectancy, the change in expectancy was tracked against energy consumption over 40 or more years, in India, China, Indonesia and Brazil. It is concluded that energy is such a necessary element in development that it should be seen as a basic right. The impact of energy on development is felt strongly up to about 2 000 kg oil equivalent per capita, and is essentially saturated above that level. The data are qualitatively assessed using the environmental Kuznets curve. The OECD nations appear to have peaked, and emissions may continue to drop for the foreseeable future. However, emissions from the non-OECD nations have surged in this millennium, and are likely to exceed 40 000 Mt CO2 per annum before slowing. In this light, the intent of the Paris Agreement to constrain global temperature rise to less than 1.5 °C, seems unrealistic. Any hopes of reducing carbon dioxide emissions significantly, in the face of development by the developing nations, seems doomed to failure. Keywords: development, World Bank Indicators, life expectancy, future emissionsHighlights•    Many development indicators are strongly related to the per-capita energy consumption.•    The impacts of increasing energy on development continues up to about 2000 kg oil equivalent per capita per year.•    Over the past 50 years, increases in per-capita energy consumption correlate strongly with increases in life expectancy. •    If all developing nations strive for 2000 kg per capita per year energy consumption, CO2 emissions will continue to rise.

scholarly journals Analysis of Determinant of Life Expectancy in East Java Province

2019 ◽  
Vol 8 (1) ◽  
pp. 30-41
Author(s):  
Nurnas Kavila Elnung ◽  
Yozi Aulia Rahman
Keyword(s):  
Life Expectancy ◽  
Research Methods ◽  
Fixed Effects ◽  
Revenue Sharing ◽  
Fixed Effects Model ◽  
Tobacco Products ◽  
Quantitative Research Methods ◽  
Improve Life Expectancy ◽  
Per Capita ◽  
The Impact

Economic development in East Java Province increases each year, can be seen from the Gross Regional Domestic Product (GRDP) Per Capita is increasing. The increase in GRDP Per Capita, cigarette consumption can increase so that the impact on tax receipts and an increase in life expectancy is low. Tax receipts made as the Province of East Java with revenue sharing fund of tobacco products excise highest. The purpose of this study was to analyze the influence of revenue sharing fund of tobacco products excise, betel leaves and tobacco expenditures and GRDP Per capita against life expectancy in East Java Province. Research methods used in this research is quantitative research methods with processing and data analysis technique used is Panel regression analysis with Fixed Effects Model (FEM). The results showed that only the GRDP Per Capita  affects life expectancy while revenue sharing fund of tobacco products excise and expenditure of tobacco and betel leaves don't effect on life expectancy in East Java province. Based on those results, so in an attempt to improve life expectancy in East Java province by improving the use of programme revenue sharing fund of tobacco products excise that can provide direct benefits to society such as examination health routine.

scholarly journals Exploring the Impact of Healthcare on Economic Growth in Africa

2019 ◽  
Vol 6 (3) ◽  
pp. 45
Author(s):  
Juste Somé ◽  
Selsah Pasali ◽  
Martin Kaboine
Keyword(s):  
Economic Growth ◽  
Life Expectancy ◽  
Health Outcomes ◽  
Health Expenditures ◽  
Gdp Per Capita ◽  
Real Gdp ◽  
Cent Increase ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
The Impact

This paper empirically investigates the relationship between health expenditures, health outcomes and economic growth in Africa using data from 48 African countries over the period 2000-2015 in a panel data regression framework. In line with wider literature on economic growth as well as health economics, the paper first finds that maternal, infant and child mortality rates are all negatively and significantly associated with economic growth in Africa. In addition, life expectancy at birth is positively associated with economic growth. A 9.4-year increase in life expectancy leads to 1 per cent increase in real GDP per capita. Second, the paper finds that health expenditures have direct and indirect effects on economic growth that are positive and economically meaningful. In particular, a 10 per cent increase in health expenditures leads to an increase in annual average real GDP per capita by 0.24 per cent. Third, education emerges as a strong determinant of both economic growth and health outcomes in Africa, particularly when female education is considered. The main policy implication of this paper is that governments should aim at spending more and efficiently on the overall health system to progress over health outcomes and benefit from the positive externalities leading to economic growth. In addition, it is crucial that governments partner with private sector for resource mobilization and effective service delivery.

scholarly journals Identification of Influencing Factors: Does the Social Media Sites Affect the Education of College Students?

2020 ◽  
Vol 8 (5) ◽  
pp. 2050-2055
Keyword(s):  
College Students ◽  
Social Media ◽  
Influencing Factors ◽  
General Public ◽  
The Public ◽  
The Social ◽  
Risk Identify ◽  
The Impact

Probably we may come across the Social Media Sites (SMS) such as Facebook, WhatApp, Twitter and YouTube is a powerful media among the general public. The recent days without social media noting do to so for that reason every individual could be an account holder of social media. With the impact of social media, we could make significant changes among the public or government. The objective of the study is to find out the most influenced factor in Social Media Sites (SMS) among college students. Seven factors are used for the study such as Privacy_F1, Friendship_F2, Illegal Problems_F3, Advertise _F4, Risk Identify _F5, Easiest Share_F6, Post_ F7. Privacy F1 is the most influenced factor among the college students

scholarly journals A Panel Data Approach to the Measurement of Health Technical Efficiency of Sub-Saharan Africa

2015 ◽  
Vol 18 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Elham Torkian
Keyword(s):  
Panel Data ◽  
Environmental Factors ◽  
Life Expectancy ◽  
Technical Efficiency ◽  
Fixed Effects ◽  
Sub Saharan Africa ◽  
Stochastic Production Frontier ◽  
Life Expectancy At Birth ◽  
Sub Saharan ◽  
The Impact

Abstract This study investigates technical efficiency of health production function in Sub-Saharan Africa. For this purpose, a stochastic production frontier model is estimated using fixed-effects panel data method over the period of 2000-2007. More specifically the impact of economic, social, and environmental factors in determining life expectancy at birth, as the dependent variable, is measured and evaluated. Overall, the results justify the important role of policymakers, who their proactive approaches should be given to activities that go beyond the health system to influence the main determinants of health i.e. socioeconomic and environmental factors in preventing infectious diseases, improving life expectancy and aid populations to access available resources.

THE IMPACT OF COMPREHENSIVE HEALTH IMPROVEMENT ON COLLEGE STUDENTS BY MEANS OF EDUCATION AND ORAL HEALTH CARE

2016 ◽  
Author(s):  
Guadalupe Capetillo ◽  
Evelyn Torres ◽  
Silvia Flores ◽  
Leticia Tiburcio ◽  
Fabiola Leyva ◽  
...  
Keyword(s):  
College Students ◽  
Health Care ◽  
Oral Health ◽  
Oral Health Care ◽  
Health Improvement ◽  
Comprehensive Health ◽  
The Impact

scholarly journals Spatiotemporal Characteristics of Ecological Conditions and Its Response to Natural Conditions and Human Activities during 1990–2010 in the Yangtze River Delta, China

2018 ◽  
Vol 15 (12) ◽  
pp. 2910 ◽  
Author(s):  
Ziqi Meng ◽  
Min Liu ◽  
Qiannan She ◽  
Fang Yang ◽  
Lingbo Long ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Human Activities ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
The Yangtze River ◽  
Natural Conditions ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Urbanization Rate ◽  
The Yangtze River Delta

The Yangtze River Delta (YRD) region, including Shanghai City and the Jiangsu and Zhejiang Provinces, is the largest metropolitan region in China. In the past three decades, the region has experienced an unprecedented process of rapid and massive urbanization, which has dramatically altered the landscape and detrimentally affected the ecological environments in the region. In this paper, we analyzed the spatiotemporal variations of ecological conditions (Eco_C) via a synthetic index with analytic hierarchy processes in the YRD during 1990–2010. The relative contributions of influencing factors, including two natural conditions (i.e., elevation (Elev) and land-sea gradient (Dis_coa)), three indicators of human activities (i.e., urbanization rate (Urb_rate), per capita GDP (Per_gdp), the percentage of secondary and tertiary industry employment (Per_ind)), to the total variance of regional Eco_C were also investigated. The results showed that: (1) The Eco_C over YRD region was “Moderately High”, which was better than the national average and demonstrated obvious spatial variations between south and north. There existed fluctuations and an overall increasing trend for Eco_C during the study period, with 20% of the area being deteriorated and 40% being improved. (2) The areas with elevation below 10 m was relatively poor in Eco_C, while the regions above 1000 m showed the best Eco_C and had the most obvious changes (9.33%) during the study period. (3) The selected five influencing factors could explain 91.0–94.4% of the Eco_C spatial variability. Elevation was the dominant factor for about 42.4–52.9%, while urbanization rate and per capita GDP were about 32.5% and 9.3%.

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