Although investigations and evaluations are being carried out, there is little research on the relationship between urban regeneration factors, in which various stakeholders participate, and various projects are underway simultaneously. Therefore, this study aims to understand the critical factors and influence relationship among factors in urban regeneration projects in the Nanluoguxiang area, where such projects have been carried out for the historical and cultural preservation in Beijing, China. The implications of this study are as follows: First, both factor public space environmental improvement and building restoration and improvement were analyzed as the most important factors. Second, the elements of the public space environmental improvement and the building restoration and improvement were closely related, influenced by policies and plans, guidelines and criteria, investigation and research, and the subsidy support project. Third, despite the fact that the project was promoted with the aim of revitalizing culture, it was analyzed that the influence of cultural elements on other factors was very minimal because of excessive commercialization.

In 2018, the suicide rate in South Korea was the highest among the Organisation for Economic Co-operation and Development countries, and socioeconomic inequality has intensified. This study analyzes the impact relationship between suicidal impulses and economic inequality in South Korea. This study measures suicidal impulses thoughts National Health Survey Data and economic inequality based on the housing prices gap in the country. The primary analysis results were as follows: First, suicidal impulses were positively associated with the high index of housing price inequality; this correlation has become tight in recent years. Second, it was confirmed that the higher the income level, the higher the correlation between suicidal impulses with the index of housing price inequality. Third, the correlation between housing price inequality with suicidal impulse increased consistently in highly urbanized areas, but the statistical significance was low in non-urban areas.

This study attempted to illustrate whether mental health deterioration could be alleviated by high social capital in an environment with high economic inequality. Daily mental stress was employed as a mental health factor when analyzing the association with economic inequality in the Seoul Survey data. Regarding social capital, community trust and altruism were included as cognitive dimensions, and participation and cooperation were included as structural dimensions in each model. The first finding showed a significantly positive relationship between economic inequality and daily stress, meaning that, like other mental health problems, daily mental stress is also high in regions with high economic inequality. Second, the slope of the daily stress increased in respondents with high social trust and participation was alleviated in an economically unequal environment. This indicates that social trust and participation have a buffering effect by moderating the slope of daily stress in societies with high inequality. Third, the buffering effect differs depending on the social capital factor. The buffering effect of trust and participation showed in an unequal environment, while the buffering effect of cooperation showed regardless of the unequal environment. In summary, social capital factors showed the effect of relieving daily mental stress in the relationship with economic inequality. Also, the buffering effect of social capital on mental health may show different aspects for each element.

China is experiencing an increase in socioeconomic inequality in comparison to the global trend. Employing the hukou registration as a focal point, this study seeks to examine social capital differences between developed and underdeveloped regions in China. As the data for the analysis were from the China Family Panel Studies, social capital was measured by social trust, participation, and networks. The Gini coefficient, a measure of economic inequality, was calculated for 25 different provinces in China in this paper. In light of the fact that these are panel data collected between 2014 and 2018, this study employed the random-effect model for panel analysis. The first finding is that individuals, in an environment characterized by high levels of economic inequality, have low levels of social capital levels in China. Second, the inverse relationship between economic inequality and social capital varies according to social capital element. Specifically, this inverse relationship was observed in social trust and social networks, but not in social participation. Third, hukou registration moderated the inverse relationship between economic inequality and social capital. The rural hukou registration revealed a stronger inverse relationship between economic inequality and social capital than its urban counterpart. This indicates that the negative impact of economic inequality on social capital resulted in additional inequality among rural hukou holders.

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