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Abstract Human metabolic rate is a fundamental and essential aspect of thermal comfort, and gender differences in metabolic rate may underlie gender differences in comfort. This study explores gender differences in physiological and subjective responses to a wide range of cold to hot temperatures. Forty healthy college students (20 females and 20 males) participated in the experiments. Subjects were sedentary, wearing 0.6 clo, staying at 26 °C for 30 min, then exposed to either at cool (14, 16, 18, 20 °C), neutral (24, 26 °C), or warm (28, 30, 32, and 34 °C) temperatures for 90 min. Both subjective questionnaires (thermal sensation, thermal comfort, thermal acceptability) and physiological measurements (metabolic rate, skin temperature, skin blood flow, and skin wettedness) were collected during the exposures. Females tend to have lower metabolic rates than males at all temperatures, although significant differences were only found at 14, 16, and 18 °C. Females tend to be cooler and less comfortable than males at cool temperatures, which could be explained by the lower metabolic rates and lower skin temperatures in females. Males tend to be warmer and less comfortable at warm temperatures, which could be explained by higher metabolic rates and higher skin wettedness in males. No significant gender differences in subjective or physiological responses were found at neutral conditions.

This study aims to examine the gender gaps in the use of urban space in Seoul, Korea, to provide empirical evidence for urban planning for gender equality. We analyzed daily temporary populations that were estimated using mobile phone data. We used the total, women’s, and men’s temporary populations as well as the subtraction of the temporary population of men from that of women (SMW) as dependent variables. We first conducted a visual analysis on temporary population density using kernel density estimation and then conducted a further analysis using spatial autocorrelation indicators and spatial regression models. The results demonstrate that: (1) Temporary population patterns for women and men showed similarities in that both were larger in business areas than in residential areas, which means that a large number of women were engaged in economic activities like men; (2) the pattern for SMW showed the opposite, that is, women were more active in residential areas and areas where neighborhood retail shops, cultural facilities, parks, and department stores were easily accessible; and (3) both women’s temporary population and SMW had spatial autocorrelation and thus showed clustering patterns that can be helpful in urban planning for gender equality in Korea.

Abstract The main objective of this study is to investigate the impact of financial inclusion and trade openness on the economic development of 27 European Union (EU) nations. The sample countries are classified into low-income, high-income, old-EU, and new-EU members; this distinction allows us to provide more constructive and practical policy implications. Yearly data from 1995 to 2015 and panel econometric techniques were used. The results show that access, depth, efficiency, and the overall development of financial institutions have significant positive impact on economic growth in both the full sample and sub-samples. We also find that capital, labour, energy consumption and trade openness play an important role in driving economic growth across these panels. Moreover, the impact of financial inclusion on economic output is more significant in low-income and new-EU member countries than in high-income and old-EU countries. Based on these findings, detail policy implications for the entire EU, as well as for its sub-groups, are provided.

Gender differences in depressive symptoms among older Chinese were examined based upon data collected from a survey with 497 randomly selected aging Chinese of 60 years or older in Jiangsu, China. A Chinese version of the 15-item Geriatric Depression Scale was used. Depressive symptoms correlated with lower levels of education, financial inadequacy, lower levels of satisfaction toward housing, higher levels of worry, and poorer physical health. When controlled for other confounding factors, the effect of gender was not significant. Gender differences were most likely attributed to women's less favorable status in education level, living arrangement, housing condition, and social support.

Abstract This paper explores quantification of regulator’s preference factor (RPF) in electricity–environment coordinated regulation system. Based on social welfare economics, we articulately depict RPF’s qualitative concept and its economic meaning. Then, applying abstract functions (i.e., abstract social welfare function, abstract utility function, and abstract production function), we deduce the partial-social-welfare elasticity, and build the mathematics model of maximizing social welfare. We nest this elasticity into the model’s Kuhn–Tucker conditions, and obtain RPF’s definition formula. By solving the Kuhn–Tucker conditions, we get RPF’s quantitative formula, which solves the problem of hard to quantify regulator’s preference in electricity–environment coordinated regulation system. The result shows that RPF only has relationship to subsystems’ production function, and is independent of social welfare function and subsystems’ utility function. Finally, we provide an empirical research based on the western region of China from year 1995 to 2004. It reveals that regulator has relative stability preference to mitigating pollutants. And validity test confirms that the empirical result is fit well to the practice. The RPF is truly a more general and valid instrument to measure regulator’s preference in its regulated field.

The geographical distribution characteristics of villages characterised by ethnic minorities are determined by the selection of the site when the village was initially established. The location of inherited and well-preserved minority villages must be exceptionally compatible with the natural terrain, with a logical relationship. Nonetheless, the issue of village location, which is directly related to the development of the features of the geographical distribution, has received little attention from scholars. The average nearest proximity index, Voronoi, kernel density analysis, proximity analysis, and the Geographical Detector (GeoDetector) were used to analyse the geographic distribution characteristics of villages and their correlation with terrain, as well as the difference between the influence of each terrain factor. The findings indicated the following. (1) The geographical distribution of minority villages in Fujian Province is of the agglomeration type, with a significant “mononuclear” feature, and the topography has a facilitating effect on the clustering distribution of villages. (2) The geographical distribution of minority villages in each city of Fujian Province coexisted with the agglomeration type and the dispersion type, and the role of topography in promoting the agglomeration-type distribution of villages was not affected by the distribution density of villages. (3) The site selection of Fujian-minority villages is characterised by medium altitude, moderate slope, sun exposure, and no obvious hydrophilicity. Minority villages are mainly located in areas with an elevation of 202–647 m; a slope of 6–15°; a flat land aspect with a south slope, southeast slope, or southwest slope; and distance of 500–1500 m from 5–20 m wide rivers of level 2. (4) The site selection of Fujian minority villages is influenced by various topographic factors, such as elevation, slope, aspect, river buffer, river width, and river level, among which river width has the most substantial effect. (5) All topographic factors have a two-factor enhancing relationship with each other, aspect and slope have the most substantial effect and play a dominant role in site selection. The research findings illuminate the internal logic of the geographical distribution differentiation of villages characterised by ethnic minorities, which is critical for promoting the protection of modern ethnic-minority villages.

Urban-rural integrated communities (URICs) are transitional areas for agricultural transfer population (ATP) in the process of urbanization in China. In the current urban renewal context, the demolition and renovation of communities often result in ATP living in a precarious situation and being marginalized in the city. Sustainable urban renewal should change this situation, take the transformation of URICs as a breakthrough, and promote the urban integration of the ATP. Based on the survey of the National Health Commission of China in 2017, this paper investigates the effects of community participation and community identity on community integration, using the ordered probit model with data of the ATP living in URICs. The results show that both community identity and community participation positively influence community integration, and there are intergenerational differences. The mediating effect test shows that community identity plays a mediating role in the process of community participation, influencing community integration. The findings of the study provide possible ideas for the practical promotion of community integration and urban integration of the ATP, facilitate the implementation of sustainable urban regeneration to reduce the costs of citizenship, and maximize the benefits of the cumulative effects of urbanization for all segments of the population.

As an important approach of achieving sustainable development, green production plays a significant role in improving the ecological environment and total social welfare. In order to clarify the impacts of green production on social welfare favorably, this paper assumes that there are two types of consumers in the market: the green and the brown. Green consumers have green preference, focusing on the environmental and physical attributes of products; while brown consumers only value the physical attributes. We have obtained some intriguing conclusions through the use of the Hotelling model, as follows: (i) The total social welfare will benefit from green production. Meanwhile, we also find that the social welfare is likely to reach the highest value in scenario BG (i.e., both enterprises implement green production) or scenario SG (i.e., only one enterprise implements green production). (ii) Moreover, the total social welfare is always positively related to the degree of consumer green preference and unit of environmental benefit parameters in scenario SG and scenario BG. (iii) Finally, in scenario BG, the proportion of green consumers has a positive effect on the total social welfare, while only when certain conditions are satisfied, the higher proportion of green consumers will benefit the social welfare in scenario SG. Our findings can provide useful managerial insights for policy-makers in the development of green production.