Abstract
This study first summarizes the policy development and previous studies of the rural-regeneration supporters project in Japan and China. Furthermore, a questionnaire survey was conducted with active College Student Village Officials and Special Post Teachers, who are rural-regeneration supporters in China. From the results, a quantitative analysis was undertaken mainly on the following three points. The first is on the kind of young people willing to work in rural areas. Secondly, what kind of young people have intentions of settling in the area, and what kind of persons would like to have a continuous relationship with the area even after leaving the region. Thirdly, points regarding the increased intention of settlement and continuing involvement with the region of rural-regeneration supporters were considered.
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Notes
- 1.
Refer to Organization Department of the Communist Party of China Central Committee (2012).
- 2.
The August 2013, the Journal “Beijing Agriculture” shows the growing needs of urban residents for agriculture, and an increasing number of visitors to agricultural experiences, and in urban areas the number of community farms is increasing. On October 7, 2018, the Newspaper “Kunming Daily” reported that in Kunming, Yunnan Province, young people who moved from urban to rural areas farmed.
- 3.
Refer to Odagiri (2013).
- 4.
The five-point scale was asked as follows. 5: Strongly applicable, 4: Applicable, 3: Neutral, 2: Not so Applicable, 1: Not Applicable at all.
- 5.
Refer to Ma and Liu (2015).
- 6.
In the table, “B” is an estimate. “SE” is the standard error, and the larger this value, the lower the estimation accuracy. “P” is a P-value, and indicates the probability that the null hypothesis (a hypothesis opposite to the original hypothesis) holds. Therefore, the lower the numerical value, the more the basis for establishing the hypothesis to be originally proved. Generally, the null hypothesis is rejected if it is 0.1% or less, or 0.05% or less. “OR” means Odds Ratio, and the larger this value, the more the objective variable fluctuates depending on the explanatory variable. Therefore, it is possible to know the effect of the explanatory variable on the objective variable. “95%CI” is 95% confidence interval, which means that when 100 estimations are performed, 95 times the population averages within this range.
- 7.
These are indicators that the estimation model confirms the goodness of fit. Cox–Snell R-square and Nagelkerke R-square take values from 0 to 1, and the closer to 1, the higher the fitness. The Hosmer–Lemeshow P-value indicates that the goodness of fit of the model is good when the significance value is greater than 0.05.
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Takada, S. (2020). Characteristics of Young People on Employment and Settlement in Rural East Asia: A Case of the Rural-Regeneration Supporters Project. In: Yasunaga, N., Inoue, N. (eds) Farm and Rural Community Management in Less Favored Areas. New Frontiers in Regional Science: Asian Perspectives, vol 44. Springer, Singapore. https://doi.org/10.1007/978-981-15-7352-1_13
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