scholarly journals Tourism’s Impacts on Rural Livelihood in the Sustainability of an Aging Community in Japan

2018 ◽  
Vol 10 (8) ◽  
pp. 2896 ◽  
Author(s):  
Bixia Chen ◽  
Zhenmian Qiu ◽  
Nisikawa Usio ◽  
Koji Nakamura
Keyword(s):  
Quality Of Life ◽  
Rural Community ◽  
Sustainable Livelihoods ◽  
Economic Benefits ◽  
Rural Tourism ◽  
Territorial Development ◽  
Household Level ◽  
Rural Livelihood ◽  
The Town

Rural tourism, which is often interpreted as rural development initiatives, has been extensively studied in a Japanese context; however, this has been typically observed at a community level, and the host households were assumed as homogeneous. Therefore, this article explores rural tourism’s potential as a tool for territorial development in Japan, and augments established literature by studying how rural tourism contributes to sustainable livelihoods at the household level in an aging community and a developed economy. For this purpose, a qualitative study observed a farm inn group in the town of Noto, a Globally Important Agricultural Heritage System (GIAHS) site in Japan. Three hypotheses were tested: (1) rural tourism in a remote/isolated region has changed the host households’ livelihood assets; (2) the economic benefits from rural tourism are marginal to host households; and (3) the benefits other than income earnings exceed the economic benefits for aging communities. The residents’ quality of life has improved in this super-aging rural community, although the economic benefits are still marginal to most host households. Tourists have brought vitality to these remote villages, and a lack of young residents to inherit these farm inn businesses presents a bottleneck to the industry’s future development. Social capital should be strengthened by forming social networks with the local government and private sectors.

scholarly journals Development of multifactor index for assessing quality of life of a tribal population of India: multilevel analysis approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
M. Bagavandas
Keyword(s):  
Quality Of Life ◽  
Infrastructure Development ◽  
Tribal Population ◽  
Key Factors ◽  
Household Level ◽  
Multilevel Factor Analysis ◽  
The Social ◽  
Factor Index ◽  
The Village

Abstract Background The main objective of this study is to develop a multilevel multi-factor index to assess the quality of life of the Malayali tribal population of India at the household and village levels based on nine domains, namely, Demography, Economy, Health, Human Development, Infrastructure Development, Work Participation, Recreation, Social Capital and Self Perception. An attempt is made to classify the individuals as well as villages by the overall scores of a multi-factor -index within a community which will help policymakers to develop concrete policy recommendations for the improvement of the quality of life of this tribal group. Method Multilevel factor analysis is utilized to determine uncorrelated meaningful factors and their respective weights using Mplus software from the nested dataset consists of values of nine domains of 1096 individuals collected from 19 villages. A multilevel multi-factor index is constructed using the weights of these factors. The qualities of the lives of different households and different villages are assessed using the scores of this index. Results Three different factors are identified at household as well as village levels. The quality of life at Households and Village levels are classified as poor, low, moderate, good, and excellent based on five quintiles of the scores of the multi-factor index, and the contribution of each domain in this classification is ascertained. Discussion This study finds that at household as well as at village levels, the quality of life of the individuals of this tribal population increases with an increase in education, income, and occupation status which make them lead a healthy life and also make them to find time and money to spend on recreation. Infrastructure is not important at the household level but not so at the village level. Conclusion The main purpose of developing this kind of multi-factor index at different levels is to provide a tool for tribal development based on realistic data that can be used to monitor the key factors that encompass the social, health, environmental, and economic dimensions of quality of lives at the household and community levels of these tribal people.

scholarly journals A Dynamic Forecasting Model for Scientific Migration in the Region

2021 ◽  
Vol 17 (4) ◽  
pp. 1196-1209
Author(s):  
A.E. Sudakova ◽  
◽  
A.A. Tarasyev ◽  
D.G. Sandler ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Economic Benefits ◽  
Forecasting Model ◽  
Short Term ◽  
Migration Factors ◽  
Dynamic Forecasting ◽  
Migration Flows ◽  
Key Indicators ◽  
Scientific Migration

The population migration has attracted attention for more than a decade. As migration consequences differ in terms of characteristics and directions, governments worldwide are looking for solutions to regulate migration flows. The study aims to systematise push-pull factors of migration by analysing existing cases, as well as to build a model for predicting migration considering the quantitative interpretation of such factors. While migration factors are quite similar regardless of the country of residence, their main differences are compatibility and hierarchy. The most frequently mentioned factors include the expectation of income increase, improvement in the quality of life, professional aspects. Simultaneously, a certain pattern emerges: if a migrant’s material and economic needs are satisfied in the country of departure, they pay more attention to intangible/non-economic benefits (quality of life, infrastructure, etc.). A dynamic forecasting model for scientific migration has been developed based on the theory of positional games. The model demonstrates the changes in migration flows by describing the behaviour of a rational individual who seeks to maximise benefits from migration. The result of the simulation is a short-term forecast of trends in scientific migration of Ural scholars to key migration countries. The model predicts the intensification of migration flows to the leading Asian countries, their alignment with flows to America, and a decrease in migration to European countries. This forecast is characterised by a direct dependence of the dynamics of scientific migration flows on the socio-economic development of migration destinations. Practical implications of this study include the development of a predictive model describing migration flows in the short term as an analytical tool and systematisation of pull-push factors as key indicators for managing the migration flows of scientists. In addition, the research proposes measures positively affecting the balance of scientific migration.

Measuring the quality of life in rural community development

1991 ◽  
Vol 24 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Pieter Barnard ◽  
J. N. K. Van der Merwe
Keyword(s):  
Quality Of Life ◽  
Community Development ◽  
Rural Community ◽  
Rural Community Development

Chewing ability and quality of life among the elderly residing in a rural community in Japan

2000 ◽  
Vol 27 (8) ◽  
pp. 731-734 ◽  
Author(s):  
H. Miura ◽  
K. Miura ◽  
H. Mizugai ◽  
Y. Arai ◽  
T. Umenai ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Rural Community ◽  
The Elderly ◽  
Chewing Ability

Self care integrative treatment demonstrated in rural community setting improves health related quality of life of lymphatic filariasis patients in endemic villages

Acta Tropica ◽  
2013 ◽  
Vol 126 (3) ◽  
pp. 198-204 ◽  
Author(s):  
Madhur Guruprasad Aggithaya ◽  
Saravu R. Narahari ◽  
Sudha Vayalil ◽  
Mohammed Shefuvan ◽  
Neethu K. Jacob ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lymphatic Filariasis ◽  
Rural Community ◽  
Self Care ◽  
Community Setting ◽  
Integrative Treatment ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

REVITALIZATION OF CHINATOWN AREA AS SUSTAINABLE URBAN HERITAGE IN THE CITY OF MANADO

2017 ◽  
Vol 15 ◽  
Author(s):  
Verry Lahamendu ◽  
Judy O. Waani ◽  
Aristotulus E. Tungka
Keyword(s):  
Quality Of Life ◽  
Urban Environment ◽  
Urban Region ◽  
Chinese Community ◽  
Religious Buildings ◽  
Urban Heritage ◽  
The City ◽  
The Town

China Village or Town is an urban region with Chinese as majority of the community. The China Town is located at the old part of the city of Manado and is well known as one of the oldest trade centres in Manado. As one of the urban heritage in the city of Manado, the Chinatown has unique landmarks with temples that are religious buildings for the Chinese community. With time, the quality of the environment has degraded and the image of the Chinatown has become vague.This paper investigates the existing condition of the town through site observation. It then proposes several suggestions with regard to the revitalisation of the Chinatown without discarding its existing function as a one of the trade centres in Manado. It is hoped that the revitalisation of the town would improve the quality of its urban environment that at the end would positively impact the quality of life of its dwellers, and construct the image of the city as a whole.

scholarly journals How University Acts in the Development of “Smart Cities”

2019 ◽  
Vol 71 ◽  
pp. 05011
Author(s):  
M. Afanasiev ◽  
M. Lysenkova
Keyword(s):  
Quality Of Life ◽  
Higher Education ◽  
Smart City ◽  
Positive Impact ◽  
Smart Cities ◽  
Territorial Development ◽  
Higher Education System ◽  
Impact Of Higher Education ◽  
The Impact

“Smart city” is a new model of territorial development, taking into account the growing importance of information, innovation and human capital. One of the main elements of the “smart city” is a developed system of higher education. The aim of this work was to study the impact of higher education on "smart" and innovative cities. The objectives of this work were to obtain quantitative characteristics of the impact of the University on the smart city. Approach to solving this problem was to build indicators based on indicators that characterize the quality of life, and ratings to compare cities on their basis. The hypothesis of the study is that the higher education system has a positive impact on the development of smart and innovative cities. A theoretically justified method of constructing an indicator of a certain direction of socio-economic development is a component analysis of indicators characterizing this direction. As a result, the rankings of Russian and foreign cities based on the characteristics of quality of life, which prove that education is a key indicator of the development of "smart" and innovative cities.

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