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首页> 外文期刊>International Journal of Economic Policy Studies >Preparation determinants for migration to rural areas in Japan: empirical analysis using questionnaire data
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Preparation determinants for migration to rural areas in Japan: empirical analysis using questionnaire data

机译：决定因素准备迁移到农村在日本地区:实证分析使用问卷调查数据

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摘要

This study treats the people living in the three major metropolitan areas of modern Japan—Tokyo, Nagoya, and Osaka, who are interested in local migration—as the subjects of analysis. Using econometric analysis, we verified that seeking an environment that can relieve stress and improve work–life balance is a reasonable approach to a richer life. We performed a series of separate studies to identify the specific determinants of migration from among the following factors: to make a living in regional industries such as agriculture, fishery, or forestry; to return to the area where one (or one’s spouse) was born, to secure a larger living space; to have closer contact with parents and friends; to carry on the family business; reasons related to thecurrent level of household income or expected level of income after migration; formation of real estate assets; and lack of facilities and services necessary for daily life such as shopping and aging. Moreover, since, unlike past, there would be variouspull factors in local areas in modern Japan, changes in income before and after migration were not considered the most important reasons. The results revealed that, except for the lack of facilities and services necessary for daily life and old age, allfactors potentially influence plans for local migration. Additionally, because our model incorporated long-stay experience in the local area as a variable, we found that this variable has a positive impact on the plans for migration.
机译：本研究对人生活在三个现代日本东京的主要大城市,名古屋和大阪,谁感兴趣的地方迁移作为分析的对象。计量经济分析,我们验证了,寻找一个可以缓解压力,改善环境工作与生活的平衡是一种合理的方法更丰富的生活。研究确定的具体因素从以下因素:中迁移在地区等行业谋生农业、渔业、林业;一个(或一个人的配偶)的地方出生,获得更大的生存空间;联系父母和朋友;家族企业;家庭收入水平或预期的水平迁移后的收入;资产;购物和等日常生活所必需的老化。是variouspull因素在现代的地方日本,之前和之后的收入变化迁移并不被认为是最重要的的原因。缺乏必要的设施和服务日常生活和老年,allfactors可能影响当地的移民计划。此外,由于我们的模型在当地长期经验变量,我们发现这个变量对移民计划产生积极的影响。

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