• Journal of the Korean Geographical Society
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• v.46 no.4
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• pp.480-500
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• 2011

This paper aims to describe the rapid growth of the one-person households in terms of the socio-economic demographic perspectives during the period of 1995-2005 and to analyze the spatial distribution patterns based on different characteristics of one-person households. The increase in the divorce ratio in the middle-aged, the growth of unmarried people the young generation, and the increase of life expectancy in the old generation are explanatory factors for the rise and diversification of one-person households in Korea. The rapid increase of one-person households is accompanied by a diversification in their age, gender, marital status, education level. Uneven distribution of one-person households depends on their age, level of education and dwelling type. Highly educated young adults residing in their own apartment are generally concentrated in major cities, whereas senior citizen with their own single house who lives alone are mostly in rural area. One-person households of the highly educated young adults are significantly polarized in the light of their the living standards. In particular, metropolitan area or big cities are mixed with those who have their own apartment and are financially capacity and with those who rent in a detached single house. As such, one-person households have considerably heterogeneous characteristics. Therefore, each local government will face different economic and social problems based on which group of one-person households are increasing and where they are concentrated in. To this extent, the local government should have differentiated welfare policy according to its own respect.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.352-359
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• 2021

Objectives: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. Methods: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. Results: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. Conclusions: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

• Asian Journal of Business Environment
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• v.14 no.2
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• pp.31-40
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• 2024

Purpose: This study aims to explore the factors affecting the willingness to pay for chicken delivery services targeting college students. The results of this study provide insights for improving food delivery market services and developing effective marketing strategies. Research design, data and methodology: A survey employing a questionnaire was administered to students at Chungbuk National University over a 10-day period from May 15 to May 24, 2023. Out of 232 distributed surveys, 218 were considered suitable for analysis. Binomial logistic regression analysis was conducted with the willingness to pay for delivery fees contingent on chicken price, serving as the dependent variable. Results: The main findings are following. First, as the price of chicken increases, the percentage of individuals willing to pay more than 2,000 won for delivery services decreases. Second, regardless of chicken price, males exhibit a lower tendency to bear higher delivery service fees compared to females. Lastly, those who lack awareness of their recent delivery fees or have previously paid charges exceeding 3,000 won demonstrate a greater propensity to pay higher delivery service fees compared to those who have paid fees below 3,000 won. Conclusions: It is essential for chicken sellers to identify key customer segments such as single-person households, and offer pricing and services tailored to their needs and preferences.