scholarly journals Household age structure and consumption in Serbia

2012 ◽  
Vol 57 (195) ◽  
pp. 79-101 ◽  
Author(s):  
Biljana Radivojevic ◽  
Petar Vasic
Keyword(s):  
Significant Influence ◽  
Age Structure ◽  
Household Income ◽  
Demographic Variable ◽  
Household Head ◽  
Household Consumption ◽  
Demographic Variables ◽  
Consumption Structure ◽  
Demographic Processes ◽  
Size And Structure

The influence of demographic variables on household consumption level and structure is understood but insufficiently studied in Serbia. This paper analyzes the connection between age as a demographic variable, and the size and structure of household consumption as economic phenomena. We discuss the research results, trying to explain the intensity and direction of the shown connection. The economic variables are usually set as determinants of demographic processes, but we set age as an independent demographic variable shaping household consumption without ignoring the household income level. It seems that the age structure of a household, particularly the age of the household head, has a significant influence on consumption structure.

scholarly journals Influence of Demographic Factors on Job Satisfaction of University Faculties in Nepal

NCC Journal ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 59-67 ◽  
Author(s):  
Indira Shrestha
Keyword(s):  
Job Satisfaction ◽  
Significant Influence ◽  
Demographic Variable ◽  
Demographic Factors ◽  
Important Variable ◽  
Demographic Variables ◽  
Social Recognition ◽  
Faculty Members ◽  
Working Environment ◽  
Minnesota Satisfaction Questionnaire

This study is intended to examine the influence of demographic factors on job satisfaction of university faculties. One hundred and six faculty members teaching areas of management in central department of Tribhuvan University and its constituent campuses were taken as the sample. The study used survey questionnaire (23 items) derived from long form Minnesota Satisfaction Questionnaire (MSQ) (1967). The statistical tools like independent sample t-test and ANOVA were applied to find the result. The result revealed that among eight demographic variables, monthly income seemed more important variable which had significant influence on six variables (social recognition, working environment, compensation, promotion recognition and union) of job satisfaction. Furthermore, designation seemed second important demographic variable which had significant influence on five variables of job satisfaction of faculty members. Limitations of the study are identified and recommendation for the future researchers are discussed.

INCOME INEQUALITY, HOUSEHOLD CONSUMPTION AND CO2 EMISSIONS IN CHINA

2017 ◽  
Vol 62 (02) ◽  
pp. 531-553 ◽  
Author(s):  
LIN GUO
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Industrial Structure ◽  
Generalized Method Of Moments ◽  
Household Consumption ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Total Consumption ◽  
Consumption Structure ◽  
Method Of Moments Estimation

This paper analyzes the relationship between household income disparity and CO2 emissions based on a panel dataset in China over the period from 1995 to 2010 by employing a two-step, generalized method of moments estimation (GMM-3SLS estimator) to estimate the simultaneous equation model (SEM). The main findings of this study reveal that there is a U relationship between per capita CO2 emissions and income in China. The indirect effect that household income inequality affects CO2 emissions through household consumption is positive. The reasons for this positive effect are as follows: (1) an increase in household income inequality results in lower consumer demand and higher scale of investment, which leads to excess capacity, a rise in the waste of energy consumption and an increase in CO2 emissions. (2) The total consumption amount is inhibited and the consumption structure is influenced by household income inequality. The energy-intensive and low-quality-preferred consumption structure is an obstacle to the upgrading of the industrial structure and to technological innovation from the demand side. Thus, reducing CO2 emissions by upgrading the industrial structure and developing energy-saving technologies is inhibited by the consumption structure.

PENGARUH PENDAPATAN RUMAH TANGGA TERHADAP KONSUMSI DAGING (SAPI, BABI DAN AYAM ) DI DESA SEA I KECAMATAN PINELENG

ZOOTEC ◽  
2014 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
Richie A.F. Osak ◽  
V V.J Panelewen ◽  
J. Pandey ◽  
I. D.R Lumenta
Keyword(s):  
Household Income ◽  
Household Head ◽  
Secondary Data ◽  
Meat Consumption ◽  
Research Problem ◽  
Chicken Meat ◽  
Primary Data ◽  
Survey Method ◽  
The Difference ◽  
The Village

ABSTRACT THE EFFECT OF HOUSEHOLD INCOME ON MEAT CONSUMPTION (BEEF, PORK AND CHIKEN) AT THE VILLAGE OF SEA I, PINELENG DISTRICT.This study aims to determine the magnitude of meat consumption (beef, porl and chiken) of household based on income levels in the Village of Sea I, Pineleng district and to determine the effect of household income on meat consumption (beef, porl and chiken) in the Village of Sea I, Pineleng district. Formulation of research problem is how much they purchased meat (beef, porl and chiken) consumption household in the Village of Sea I, Pineleng district. This study was conducted in the Village of Sea I, Pineleng district. Study was conducted using a survey method, and data were obtained through primary data and secondary data. Determination of the location (rural sample) in the study was conducted by purposive sampling method. Number of samples used in this study were 30 people. Data of this study were analyzed by descriptive and mathematical analysis methods. Income indicated the amount of income earned in a month household, whether they were from the household head or sourced from other household members who work and earn income. From the money earned, the highest number of respondents had incomes between 1.000.000 to 3.000.000/month with the percentage of 70 %, while the number of respondents with the smallest income was less than 1.000.000/month with the percentage of 16.67 %. The difference of income held by the respondents in the Village of Sea I, would have an impact on the amount of meat purchases each month. This was in accordance with the opinion Sukirno (2002) stating that most of the disposable income is used to buy food and clothing. Most of the meat consumed by people in the Village of Sea I was pork and chicken meat compared to beef, it was because the price of beef was relatively expensive compared to the price of pork and chicken meat. Based on research results, pork was the most meat consumed by family respondents about 21 families with the percentage of 70 % of respondents, followed by chicken meat about 18 families with the percentage of 60 % of respondents, and beef by 8 families with the percentage of 26 respondents, 67 % of domestic poultry and meat about 6 families with the percentage of 20 % of respondents. Based on the results of research, it can be concluded that household income significantly affect the consumption of meat in the Village of Sea I, Pineleng district and the average consumption of meat in the Village of Sea I, Pineleng district was about 8,9  kg/capita/year, below the national target of 10,3  kg/capita/year.   Key Words : Household income, meat consumption, Sea I Village.

scholarly journals Statistical Estimation of Modern Trends and Prospects of the Size and Structure Population of Ukraine

2017 ◽  
pp. 65-72
Author(s):  
Z. О. Palian ◽  
I. H. Bondarenko
Keyword(s):  
Population Size ◽  
Age Structure ◽  
Structural Changes ◽  
Age Groups ◽  
Natural Increase ◽  
Reproductive Age ◽  
Structural Factors ◽  
Forecast Horizon ◽  
The Crimea ◽  
Size And Structure

A balanced change in demographic processes should be considered as a prerequisite and, at the same time, as a result of the stable development of the state. Reproduction intensity depends not only on the character of demographic behavior, but also on the presence of contingents of the population, providing or potentially able to provide for its replacement. The dynamics of Ukrainian population, the transformation of its gender-age structure during the period of independence, taking into account the intensive and structural factors of natural increase and migration, is considered. During 2002-2015, the regime of survival and fertility improved in Ukraine, due to which the depopulation slowed down somewhat. But even these positive changes do not compensate for the loss of population size as a result of systematic aging, reducing the proportion of reproductive contingent and its aging. Significant demographic losses, direct and indirect, were caused by a hybrid war from Russia. Alienation of the territory of the Crimea and parts of Donbas is not only a minus 2.5 million citizens of Ukraine. This is a change in the structure of the population - a decrease in the proportion of older age groups that increase the demographic load and worsen the characteristics of survival and fertility of the maternal generation. In this work are presented the results of the short-term simulation of population size and structure taking into account modern trends of replacements components and existing administrative-territorial changes. Two scenarios of the forecast for 2018 have been developed, and the base year it was taken in 2013, when the Crimea was part of Ukraine. The first, realistic scenario was based on the preservation of the current situation - Ukraine without the annexed Crimea and the occupied part of the Donbas. The second scenario imitates the return to Ukraine of all the lost territories. Simulation showed that the population of Ukraine will be reduced by both scenarios, but to 41.9 million people under the scenario without the occupied and annexed territories and to 44.7 million people in the second scenario. The finish of war will due to slow down the death rate to 14.9%0. The age structure of the population does not differ significantly in two scenarios, because the forecast horizon is very short (4 years). The share of generation of parents and women of reproductive age in both variants of the forecast decreases. However, in the case of returning Crimea, it will be even lower (47.4% vs. 47.5% in the first scenario). The reason for this is the emigration of young and middle-aged people to the mainland of Ukraine and to the Russian Federation, which provided some preferences to the settlers from Ukraine. Expected structural changes combined with the modern life and fertility regime will worsen natural population growth rates in both scenarios. In further research is planned to build trend models of births and deaths that will allow the artificially restore the interrupted time series due to administrative-territorial incomparability of data on demographic events

scholarly journals ANALYZING THE AIRPORT PASSENGER EXPERIENCE: THE CASE OF CAIRO INTERNATIONAL AIRPORT

2017 ◽  
Vol 8 (2) ◽  
pp. 27-53
Author(s):  
Hossam Samy Ahmed
Keyword(s):  
Significant Influence ◽  
Demographic Variables ◽  
Significant Positive Effect ◽  
International Airport ◽  
Customer Care ◽  
Airport Design ◽  
Positive Effect

This paper aims to analyze the key elements influencing the airport passenger experience at Cairo International Airport (CIA). The research confirmed that four main dimensions (the airport’s services and facilities, access procedures, environment and personnel) have a significant positive effect on passengers’ perception of the overall airport experience. The research proved that the airport’s services and facilities is the most influential dimension of the passenger experience. The results also revealed that socio-demographic variables have a significant influence on passengers’ impressions towards the overall airport experience. The paper confirmed that the airport customer care, airport ambiance, airport design, dining areas and staff efficiency are the primary elements of the passenger experience. Passengers’ ratings of CIA were found to be below average in the most influential areas of the airport experience. The research concluded a number of recommendations that aim to enhance the overall passenger experience at CIA.

scholarly journals Assess the Awareness on Ill Effect of Electronic Waste on Health among General Population of Selected Urban Community

2021 ◽  
pp. 426-430
Author(s):  
Julie Vanlalsawmi ◽  
Pratibha Wankhede ◽  
Madhuri Shambharkar
Keyword(s):  
General Population ◽  
Research Design ◽  
Family Income ◽  
Urban Community ◽  
Demographic Variable ◽  
Electronic Waste ◽  
Sampling Technique ◽  
Demographic Variables ◽  
Research Approach ◽  
The World

Background: "Electronic wastes" are discarded electrical or electronic devices which includes used electronics which are destined for reuse, resale, salvage, recycling, or disposal [1] Per year approximately 20-50 million tons of Electronic Waste are disposed of globally [2]. The effects of these electronic materials are far worse in counties liked India where most of the people are having poor economic status that leads to engagement in picking up and recycling of trash cans and other dumps and they are not equipped with any proper protective measures [3]. Electronic waste is emerging as a serious public health and environmental issue in India. India is the "fifth largest electronic waste producer in the world"; approximately 2 million tons of e-waste are generated annually and an undisclosed amount of e-waste is imported from other countries around the world [4] Objectives: 1. To assess the awareness on ill effect of electronic waste among general population of selected urban community. 2. To associate the awareness on ill effect of electronic waste on health among selected urban community with a selected demographic variable. Material and Methods: Research Approach: Quantitative Research Approach. Research Design: Descriptive Research Design. Setting of the study: The study was conducted at Aarvi Naka, Wardha. Population- General population of Aarvi Naka. Sampling Technique: Non-Probability Sampling Technique. Sample Size- 100. Result: The result shows that 18% of the general population had poor level of awareness score, 38% had low level of awareness, 30% had average level of awareness and 14% of general population had high level of awareness score. Mean awareness score was 9.51±3.98 and mean percentage of awareness score was 47.55 ± 19.94. While dealing with the association of awareness score with their demographic variables, age in years of general population from selected urban community is statistically associated with their awareness score (p=0.05). Conclusion: In this study the findings of the study shows that there is no significant association of awareness level on ill effect of electronic waste on health with the demographic variables like gender, educational status, religion, occupation, monthly family income, marital status and home ownership; but there is a significant relationship with age of the corresponding samples.

scholarly journals Binary logistic regression to estimate household income efficiency. (south Darfur rural areas-Sudan)

2016 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Sofian A. A. Saad ◽  
Amin Adam ◽  
Afra H. Abdelateef
Keyword(s):  
Logistic Regression ◽  
Rural Areas ◽  
Household Income ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Statistical Technique ◽  
Household Expenditure ◽  
Response Variable ◽  
Explanatory Variables ◽  
Main Factors

<p>The main objective behind this study is to find out the main factors that affects the efficiency of household income in Darfur rejoin. The statistical technique of the binary logistic regression has been used to test if there is a significant effect of fife binary explanatory variables against the response variable (income efficiency); sample of size 136 household head is gathered from the relevant population. The outcomes of the study showed that; there is a significant effect of the level of household expenditure on the efficiency of income, beside the size of household also has significant effect on the response variable, the remaining explanatory variables showed no significant effects, those are (household head education level, size of household head own agricultural and numbers of students at school).</p>

scholarly journals The Effect of Demographic Variables and Ownership on Credit Card Market in Malaysia

2019 ◽  
Vol 10 (5) ◽  
pp. 359
Author(s):  
Gholamreza Zandi ◽  
Shaheen Mansori ◽  
Ong Boon Hai
Keyword(s):  
Marketing Strategy ◽  
Credit Card ◽  
Demographic Variable ◽  
Income Level ◽  
Demographic Variables ◽  
Education Level ◽  
Market Strategy ◽  
Gender Education ◽  
Credit Card Market

The aim of this research is to provide a framework for credit card providers to develop a better marketing strategy as well as business related to credit transaction by providing better understanding towards the effect of current individual demographic variable towards credit card ownership and usage in Malaysia. This research discusses the effect of significant demographic variables and ownership on the usage of credit card in Malaysia. The impacts of four key demographic variables are age, gender, education level, and income level on ownership and usage of credit card among credit cardholders in Malaysia. Whereas the income level has the strongest relationship among other demographic variables, it has to be taken into consideration by the credit card providers not just the ownership of credit card as well as the demographic variables while developing market strategy, particularly in Malaysia.

scholarly journals The Impact of Program Participation on Rural Household Income: Evidence from China’s Whole Village Poverty Alleviation Program

2019 ◽  
Vol 11 (6) ◽  
pp. 1545 ◽  
Author(s):  
Junying Lin ◽  
Zhonggen Zhang ◽  
Lingli Lv
Keyword(s):  
Propensity Score ◽  
Propensity Score Matching ◽  
Household Income ◽  
Poverty Alleviation ◽  
Household Head ◽  
The Political ◽  
Program Participation ◽  
Household Data ◽  
The Poor ◽  
The Impact

Villagers’ participation in poverty alleviation programs has received considerable attention, especially with regard to the poor. However, not much is known about the welfare effect of villagers’ program participation. This paper analyzes the impact of villagers’ program participation on their incomes. We used household data from 529 villagers in China’s Whole Village Poverty Alleviation Program. We focused on two types of program participation—discussion and voting. Using the propensity score matching approach, we estimate the impact of rural households’ program participation on their income. The results show that the education and the political career of the household head determine program participation. Households participating in discussion and voting have a positive and significant effect on household income. Richer households benefit more from the program. However, the poor receive less benefits. We conclude that broadening villager’s participation can boost the effectiveness of China’s poverty alleviation program.

scholarly journals Incorporating household structure and demography into models of endemic disease

2019 ◽  
Vol 16 (157) ◽  
pp. 20190317 ◽  
Author(s):  
Joe Hilton ◽  
Matt J. Keeling
Keyword(s):  
Age Structure ◽  
Household Structure ◽  
Older Individuals ◽  
Transmission Potential ◽  
Childhood Infections ◽  
Modelling Framework ◽  
Modelling Studies ◽  
Demographic Processes ◽  
Family Setting ◽  
The Impact

The spread of infectious diseases is intimately linked with the strength and type of contact between individuals. Multiple observational and modelling studies have highlighted the importance of two forms of social mixing: age structure, where the likelihood of interaction between two individuals is determined by their ages; and household structure, which recognizes the much stronger contacts and hence transmission potential within the family setting. Age structure has been ubiquitous in predictive models of both endemic and epidemic infections, in part due to the ease of assessing someone’s age. By contrast, although household structure is potentially the dominant heterogeneity, it has received less attention, in part due to an absence of the necessary methodology. Here, we develop the modelling framework necessary to predict the behaviour of endemic infections (which necessitates capturing demographic processes) in populations that possess both household and age structure. We compare two childhood infections, with measles-like and mumps-like parameters, and two populations with UK-like and Kenya-like characteristics, which allows us to disentangle the impact of epidemiology and demography. For this high-dimensional model, we predict complex nonlinear dynamics, where the dynamics of within-household outbreaks are tempered by historical waves of infection and the immunity of older individuals.

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