Regional growth models for rural areas development

1962 ◽  
Vol 9 (1) ◽  
pp. 235-244 ◽  
Author(s):  
Wilbur R. Maki ◽  
Yien-I Tu
Keyword(s):  
Rural Areas ◽  
Growth Models ◽  
Regional Growth

REGIONAL GROWTH MODELS FOR RURAL AREAS DEVELOPMENT

2005 ◽  
Vol 9 (1) ◽  
pp. 235-244
Author(s):  
Wilbur R. Maki ◽  
Yien-I Tu
Keyword(s):  
Rural Areas ◽  
Growth Models ◽  
Regional Growth

A Regional Approach to Mobility Management

2019 ◽  
pp. 1-24
Author(s):  
Morgan D. Vogel ◽  
Robert Blair ◽  
Jerome Deichert
Keyword(s):  
Public Transportation ◽  
Rural Areas ◽  
Regional Growth ◽  
The United States ◽  
Sustainable Transportation ◽  
Infrastructure Development ◽  
Transit Services ◽  
Urban And Rural Areas

Across the United States there is increased pressure for communities, especially in states like Nebraska, to engage in sustainable transportation infrastructure development. Through a case study of an ongoing statewide transportation initiative in nonmetropolitan Nebraska, this chapter examines transportation sustainability and planning from a regional and collaborative perspective. The Nebraska effort can be adapted to other states with significant rural and dispersed population centers. Funded by the state and the federal governments, Nebraska's transportation initiative, using an innovative public-private partnership, is creating and enhancing regional transit services in small urban and rural areas, using public transportation as a means to promote long-term economic growth and sustainability. Smaller urban and micropolitan communities, often serving as regional growth centers, frequently are overlooked when it comes to research on transportation planning and policy.

SOME SIMPLE AIR POLLUTION AND URBAN-REGIONAL GROWTH MODELS

2005 ◽  
Vol 29 (1) ◽  
pp. 1-24
Author(s):  
Walter Isard ◽  
Panagis Liossatos
Keyword(s):  
Air Pollution ◽  
Growth Models ◽  
Regional Growth

scholarly journals Rapidity of Change in Population Age Structures: A Local Approach Based on Multiway Factor Analysis

2020 ◽  
Vol 12 (7) ◽  
pp. 2828
Author(s):  
Rares Halbac-Cotoara-Zamfir ◽  
Sirio Cividino ◽  
Gianluca Egidi ◽  
Rosanna Salvia ◽  
Luca Salvati
Keyword(s):  
Residential Mobility ◽  
Rural Areas ◽  
Complex Adaptive System ◽  
Late Phase ◽  
Regional Growth ◽  
System Thinking ◽  
Local Approach ◽  
Metropolitan Regions ◽  
Urban And Rural Areas ◽  
Age Structures

In the light of complex adaptive system thinking, population age structures in Europe have increasingly reflected the interplay between ‘fast’ and ‘slow’ socioeconomic dynamics driven by natural population growth and migration. Assuming the importance of demographic dynamics shaping regional growth in recent times, a diachronic analysis of local-scale population age structures was developed for 156 districts of Greece between 1971 and 2011. By using appropriate indicators, the analysis was aimed at demonstrating how ‘fast’ and ‘slow’ transitions contribute to socioeconomic change in both urban and rural areas. A comprehensive analysis of change in population age structures between 1971 and 2011 allows identification of latent spatial structures as a result of population re-distribution from urban cores to broader rural regions. Following residential mobility, the empirical results of this study indicate (i) a late phase of urbanization (1971–1981) with population densification and settlement compactness, (i) a rapid suburbanization (1981–1991) consolidating distinctive demographic structures in urban and rural areas, (ii) a mild counter-urbanization (1991–2001) with moderate aging of suburban populations and (iii) a latent re-urbanization (2001–2011) reducing the suburban-urban divide in population age structures. Residential mobility contributed to a more balanced age structure during suburbanization and an increased demographic divide in the subsequent urban waves. A refined analysis of long-term population dynamics in metropolitan regions reflects spatial outcomes and latent aspects of demographic transitions shedding light on the debate over the future development of urban and rural societies in advanced economies.

scholarly journals An Overview of Population Growth Trends of Nepal

2015 ◽  
Vol 19 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Laxman Kumar Regmi
Keyword(s):  
Population Growth ◽  
Growth Model ◽  
Growth Rates ◽  
Exponential Growth ◽  
Rural Areas ◽  
Population Change ◽  
Population Policy ◽  
Growth Models ◽  
Growth Trends ◽  
Time Period

This paper aims to estimate population growth rates of Nepal and also to estimate required time period for doubling population. For this, arithmetic, geometric and exponential growth models are applied. The data are taken from the recent national censuses of Nepal. Population growth trends were 2.10% in 1971, 2.60% in 1981, 2.10% in 1991, 2.25% in 2001 and 1.35% annually in 2011. The trends of urban populations were about 4% in 1971, 6% in 1981, 9% in 1991, 14% in 2001 and 17% in 2011. The population density rose from 79 in 1971 to 181 in 2011. Urban growth rate was 7% whereas it was 2% for rural areas. The population change was found to be 40% in urban whereas 11% in rural areas during 2001-2011. However, overall change was found to be 14% during 2001-2011. The estimated growth rates were found to be 1.44%, 1.35% and 1.35% by using arithmetic, geometric and exponential respectively. The estimated time period for doubling populations was found to be 67 year by arithmetic growth model and 50 years by geometric and exponential growth model. The findings of this paper may help policy-makers and planners for designing population policy of Nepal.Journal of Institute of Science and Technology, 2014, 19(1): 52-61

scholarly journals Exploring the Bidirectional Associations Between Short or Long Sleep Duration and Lower Cognitive Function: A 7-Year Cohort Study in China

2021 ◽  
Vol 13 ◽  
Author(s):  
Jianian Hua ◽  
Sheng Zhuang ◽  
Yueping Shen ◽  
Xiang Tang ◽  
Hongpeng Sun ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Sleep Duration ◽  
Rural Areas ◽  
Growth Models ◽  
Latent Growth ◽  
Latent Growth Models ◽  
Bidirectional Association ◽  
Long Sleep ◽  
Global Cognition ◽  
Subsequent Wave

Background: Sleep duration is linked to cognitive function, but whether short or prolonged sleep duration results from impaired cognition or vice versa has been controversial in previous studies. We aimed to investigate the bidirectional association between sleep duration and cognitive function in older Chinese participants.Methods: Data were obtained from a nationally representative study conducted in China. A total of 7984 participants aged 45 years or older were assessed at baseline between June 2011 and March 2012 (Wave 1), 2013 (Wave 2), 2015 (Wave 3), and 2018 (Wave 4). Nocturnal sleep duration was evaluated using interviews. Cognitive function was examined via assessments of global cognition, including episodic memory, visuospatial construction, calculation, orientation and attention capacity. Latent growth models and cross-lagged models were used to assess the bidirectional association between sleep duration and cognitive function.Results: Among the 7,984 participants who were followed in the four waves of the study, the baseline mean (SD) age was 64.7 (8.4) years, 3862 (48.4%) were male, and 6453 (80.7%) lived in rural areas. Latent growth models showed that both sleep duration and global cognition worsened over time. Cross-lagged models indicated that short or long sleep duration in the previous wave was associated with lower global cognition in the subsequent wave (standardized β = −0.066; 95% CI: −0.073, −0.059; P < 0.001; Wave 1 to 2) and that lower global cognition in the previous wave was associated with short or long sleep duration in the subsequent wave (standardized β = −0.106; 95% CI: −0.116, −0.096; P < 0.001; Wave 1 to 2).Conclusion: There was a bidirectional association between sleep duration and cognitive function, with lower cognitive function having a stronger association with long or short sleep duration than the reverse relationship. Global cognition was likely the major driver in these reciprocal associations.

scholarly journals Flatten the Curve!

REGION ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 43-83
Author(s):  
Thomas Wieland
Keyword(s):  
Growth Rates ◽  
Growth Models ◽  
Regional Growth ◽  
Logistic Growth ◽  
School Closures ◽  
Epidemic Curve ◽  
Child Day Care ◽  
Voluntary Behavior ◽  
Before School ◽  
Novel Coronavirus

Since the emerging of the "novel coronavirus" SARS-CoV-2 and the corresponding respiratory disease COVID-19, the virus has spread all over the world. Being one of the most affected countries in Europe, in March 2020, Germany established several nonpharmaceutical interventions to contain the virus spread, including the closure of schools and child day care facilities (March 16-18, 2020) as well as a full "lockdown" with forced social distancing and closures of "nonessential" services (March 23, 2020). The present study attempts to analyze whether these governmental interventions had an impact on the declared aim of "flattening the curve", referring to the epidemic curve of new infections. This analysis is conducted from a regional perspective. On the level of the 412 German counties, logistic growth models were estimated based on daily infections (estimated from reported cases), aiming at determining the regional growth rate of infections and the point of inflection where infection rates begin to decrease and the curve flattens. All German counties exceeded the peak of new infections between the beginning of March and the middle of April. In a large majority of German counties, the epidemic curve has flattened before the "lockdown" was established. In a minority of counties, the peak was already exceeded before school closures. The growth rates of infections vary spatially depending on the time the virus emerged. Counties belonging to states which established an additional curfew show no significant improvement with respect to growth rates and mortality. Furthermore, mortality varies strongly across German counties, which can be attributed to infections of people belonging to the "risk group", especially residents of retirement homes. The decline of infections in absence of the "lockdown" measures could be explained by 1) earlier governmental interventions (e.g., cancellation of mass events, domestic quarantine), 2) voluntary behavior changes (e.g., physical distancing and hygiene), 3) seasonality of the virus, and 4) a rising but undiscovered level of immunity within the population. The results raise the question whether formal contact bans and curfews really contribute to curve flattening within a pandemic.

scholarly journals 25 Years of Rural Development in post-Soviet Central Asia: Sustaining Inequalities

2018 ◽  
Vol 24 (1) ◽  
pp. 63-79 ◽  
Author(s):  
Max Spoor
Keyword(s):  
Rural Development ◽  
Central Asia ◽  
Rural Areas ◽  
Growth Models ◽  
Sustainable Growth ◽  
Capital City ◽  
Urban Rural ◽  
Soviet Central Asia ◽  
Energy Dependent ◽  
Natural Resource Wealth

Abstract To show that post-Soviet rural development in Central Asia has been confronted with sustained inequalities, three particular factors are analysed in this paper have being viewed as fundamental in influencing national and rural development. Firstly, most countries have based their growth models on economic nationalism (not only creating borders and national institutions, but also choosing inward-looking strategies), while leaning one-sidedly on their natural resource wealth (carbohydrates such as oil, natural gas and minerals, but also industrial crops like cotton). Secondly, and related to the first explanatory factor, the region has been struck by hidden and open resource-based conflicts, in particular on land and water. Inter-state tensions have emerged, in particular between downstream (irrigation water dependent) countries, such as Turkmenistan and Uzbekistan, and the upstream (hydropower energy dependent, and carbohydrate-poor) ones, such as Tajikistan and Kyrgyzstan. Thirdly, all the countries analysed here have followed a rather unequal capital city-centric growth model, using the proceeds of exports of mineral wealth (or cotton) for rapid urbanisation with little or no investment in rural development, resulting in a growing urban-rural divide and increasing rural-urban and cross-border migration. While it is recognised that this region is indeed a bridge between West and East (also re-emphasised by the Chinese ‘One Belt, One Road’ initiative), it is argued in this paper that there is a need to reduce these inequalities and unbalanced growth, being that they will be an obstacle to the sustainable growth and development of rural areas.

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