The impact of migration on the nonmetropolitan population age structure, 1960?1990

1995 ◽  
Vol 14 (2) ◽  
pp. 215-232 ◽  
Author(s):  
Glenn V. Fuguitt ◽  
Timothy B. Heaton
Keyword(s):  
Age Structure ◽  
Population Age Structure ◽  
The Impact

scholarly journals Examining the Role of Population Age Structure upon Residential Electricity Demand: A Case from Korea

2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin
Keyword(s):  
Age Structure ◽  
Energy Demand ◽  
Population Group ◽  
Strong Relationship ◽  
Electricity Demand ◽  
Advanced Economy ◽  
Population Age Structure ◽  
Long Run ◽  
Residential Electricity ◽  
The Impact

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.

scholarly journals Modeling schistosomiasis transmission: the importance of snail population structure

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Larissa C. Anderson ◽  
Eric S. Loker ◽  
Helen J. Wearing
Keyword(s):  
Age Structure ◽  
Human Infection ◽  
Infection Prevalence ◽  
Snail Population ◽  
Snail Infection ◽  
Deterministic Models ◽  
Population Age Structure ◽  
Force Of Infection ◽  
The Impact ◽  
The Relationship

Abstract Background Schistosomiasis is a neglected tropical disease endemic in 54 countries. A major Schistosoma species, Schistosoma mansoni, is sustained via a life cycle that includes both human and snail hosts. Mathematical models of S. mansoni transmission, used to elucidate the complexities of the transmission cycle and estimate the impact of intervention efforts, often focus primarily on the human host. However, S. mansoni incurs physiological costs in snails that vary with the age of the snail when first infected. Snail demography and the age of snail infection could thus affect the force of infection experienced by humans, which is frequently used to predict the impact of various control strategies. Methods To address how these snail host and parasite interactions influence model predictions, we developed deterministic models of schistosomiasis transmission that include varying complexity in the snail population age structure. Specifically, we examined how model outputs, such as schistosome prevalence in human and snail populations, respond to the inclusion of snail age structure. Results Our models suggest that snail population age structure modifies the force of infection experienced by humans and the relationship between snail infection prevalence and corresponding human infection prevalence. There are significant differences in estimated snail infection, cercarial density and mean worm burden between models without snail population dynamics and those with snail populations, and between models with a homogeneous snail population and those with age stratification. The variation between finely age-stratified snail populations and those grouped into only juvenile and adult life stages is, however, minimal. Conclusions These results indicate that including snails and snail age structure in a schistosomiasis transmission model alters the relationship between snail and human infection prevalence. This highlights the importance of accounting for a heterogeneous intermediate host population in models of schistosomiasis transmission where the impact of proposed control measures is being considered.

scholarly journals Polarized nature of the COVID-19 pandemic in Japan: associations with population age structure and behaviours

2021 ◽  
Vol 49 (1) ◽  
Author(s):  
Junko Okumura
Keyword(s):  
Age Structure ◽  
Public Transportation ◽  
Perceived Risk ◽  
Online Survey ◽  
Preventive Measures ◽  
Age Groups ◽  
Cumulative Number ◽  
Population Age Structure ◽  
Major Factors ◽  
Drinking Places

Abstract Background Although the scale of the coronavirus disease (COVID-19) pandemic was relatively small in Japan compared with the rest of the world, the polarisation of areas into high- and low-COVID-19-incidence areas was observed among the 47 prefectures. The aims of this study were not only identifying the factors associated with the polarised COVID-19 pandemic in Japan but also discussing effective preventive measures. Methods This was an ecological study using online survey data which was cross-sectionally conducted by the author. A total of 6000 respondents who resided in 10 low- and 10 high-COVID-19 incidence prefectures, with a wide gap in terms of COVID-19 incidence, in Japan were recruited. Data on COVID-19 cases and geodemographic information were obtained from official government sites. Statistical analyses were conducted to compare variables between the two areas and age groups. Results This study revealed that that age influenced people’s behaviours and perceptions, except one behaviour of ‘wearing facemasks’. The major factors significantly associated with the cumulative number of COVID-19 cases per 100,000 people were ‘commuting by private automobile’ (adjusted odds ratio [AOR], 0.444; 95% confidence interval [CI], 0.394–0.501), ‘commuting by public transportation’ (AOR, 6.813; 95% CI, 5.567–8.336), ‘washing hands’ (AOR, 1.233; 95% CI, 1.005–1.511), ‘opening windows regularly’ (AOR, 1.248; 95% CI, 1.104–1.412), ‘avoiding crowded places (AOR, 0.757; 95% CI, 0.641–0.893), ‘non-scheduled visits to drinking places’ (AOR, 1.212; 95% CI, 1.054–1.392) and ‘perceived risk of contracting COVID-19’ (AOR, 1.380; 95% CI, 1.180–1.612). These factors were strongly associated with age groups. Conclusions Effective preventive measures for COVID-19 transmission can be developed by understanding the characteristics of populated areas, such as public transportation infrastructure and younger people’s movements and behaviours in relation to the population age structure to contain the current epidemic and protect the most vulnerable elderly people.

The Impact of Regional Age Structure on Entrepreneurship

2009 ◽  
Vol 85 (3) ◽  
pp. 269-287 ◽  
Author(s):  
Werner Bönte ◽  
Oliver Falck ◽  
Stephan Heblich
Keyword(s):  
Age Structure ◽  
The Impact

The Impact of the Transformation of Age Structure on Economic Growth

2016 ◽  
Vol 04 (04) ◽  
pp. 1650031 ◽  
Author(s):  
Wen ZHAO ◽  
Xuyang ZHU
Keyword(s):  
Economic Growth ◽  
Age Structure ◽  
Capital Accumulation ◽  
Technological Progress ◽  
Participation Rate ◽  
Market Mechanisms ◽  
Economic Growth Rate ◽  
Intergenerational Redistribution ◽  
Labor Remuneration ◽  
The Impact

The impact of the transformation of the age structure of the population on economic growth is governed by a strict law. In 12 economies under the authors’ observation, the contribution from the rejuvenation of the population to economic growth is basically 6% — the Chinese Mainland makes a contribution of 6.3%. The rejuvenation of the population has stimulated economic growth, but its contribution is very small compared with the contributions from capital accumulation and technological progress. According to international experience, in the case of addressing the transformation of the age structure of the population, relying on intergenerational redistribution will exert a great negative economic impact, while reducing the intensity of that redistribution and relying on market mechanisms to adjust the level of labor remuneration can increase the employment rate and the labor participation rate, thus raising the economic growth rate to the greatest extent.

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