The present study aimed to investigate the relationship between social body acceptance and cultural capital and the tendency towards cosmetic surgery. The study was conducted through a survey, and the population included all the 15-54-year-old women living in Malayer in 2016. The sample size estimated through the Cochran formula was 656, and the sample was selected by simple random and multiphase cluster sampling method. The descriptive results showed that women had a high tendency towards cosmetic surgery (46. 5). At the medium level, they posessed cultural capital (37. 63), and on the average to upward level (39. 7), they desired to be accepted. The regression results showed that from among the independent variables, the dimensions of cultural capital (i. e., objectified, embodied, and institutionalized) and social body acceptance (i. e., general, organizational, and peer), objectified capital (B= 0. 51), general social acceptance (B= 0. 49), institutionalized cultural capital (B= 0. 26), and peer acceptance (B= 0. 22) had the highest share in explaining the dependent variable. Furthermore, the prediction equation of the degree of women’ s tendency towards cosmetic surgery could explain 58. 1% of the variance of the dependent variable. The results also showed that the most common reasons for cosmetic surgery included manifested consumption, objective well-being, and social acceptance.

Theories of conventional economics say that the increase in consumption can increase the welfare (both objective welfare and subjective welfare) of individuals, but recent studies, which have been done by the economists of happiness found the opposite results. In fact, studies in this area show that if people spend their money on experiential purchases, they will get more subjective welfare. But the categorization of costs based on experiential and material leads to a lack of attention to the main motive for the consumption. In order to avoid this problem, in this paper, the expenditures of people is divided into six different groups based on their motivation and then, with the help of observations and data obtained from the completion of the questionnaires by residents over 20 years of age living in Tehran and by using one sample T-test and multivariate regression in SPSS22 software, the effect of the consumption on the welfare of individuals has been studied empirically. The results of this research show that, firstly, the mere use of subjective or objective indicators of welfare alone cannot give adequate insight into the state of the society, because it is possible that under the influence of some variables, these indicators diverge. Secondly, contrary to the beliefs of some economists that more consumption is essential for increasing the welfare of the society, all forms of consumption not only cannot increase the subjective welfare of individuals but also maybe incapable of satisfying the basic needs of individuals. Therefore, it seems that more research is needed in this area.

A B S T R A C T Green city is one of the approaches to sustainable development. “green city” is an environmentally friendly city compatible with the concept of sustainable development and can be used for the welfare and security of its inhabitants. Based on the concept of a “green city,” urban managers try to have the least destructive effect on the ecosystems upon which cities rely. Green city is one of the sustainable development approaches that reduce the environmental footprint of cities. The purpose of this study is to evaluate the situation of Mashhad metropolis in terms of the objective characteristics of the green city. In this study, 14 indicators of electricity consumption per capita, green space per capita, population density, water availability, sewage availability, superior public transportation network, urban mass transportation, traffic reduction, annual production waste per capita, carbon monoxide, concentration nitrogen dioxide, sulfur dioxide concentration, particulate matter concentration, and air quality were exerted. To determine the importance of research indicators, the Shannon entropy method, and the status of Mashhad city areas in terms of green city indicators, the VIKOR multi-criteria decision-making method has been applied. The results showed that most areas of Mashhad are average and below average in terms of green city characteristics, and only District 9 is in very good condition (0.636). Also, based on the results of this part of the research, District 5, with the value of VIKOR index of 0.969, is in the last rank in terms of objective characteristics of the green city Extended Abstract Introduction Green city is one of the approaches to sustainable development. A “Green city” is an environmentally friendly city compatible with the concept of sustainable development and can be used for the welfare and security of its inhabitants. Based on the concept of a “green city,” urban managers try to have the least destructive effect on the ecosystems upon which cities rely. Green cities constantly try to manage their environmental effects by reducing waste, increasing recycling, reducing air pollution, increasing population density, developing open urban spaces, and encouraging the development of sustainable local businesses. Green cities were first used to evaluate 30 European cities by the Economist Intelligence Unit (EIU) in 2009 with the financial support of Siemens and the aim of reducing the environmental effects of human activities in cities. In that study, eight indices of carbon dioxide, energy, construction, transportation, water, recycling and land use, air quality, and environmental governance were used. Later, the Economist Intelligence Unit, with the financial support of Siemens, evaluated the status of the green city index in 17 Latin American cities, 15 African cities, 22 major Asian cities, and 27 cities in United States, Canada, Australia, and New Zealand. In recent years, even some Western Islamic scholars have, in various publications, shown that Islam is an ecological religion. In Iran, the issue of protecting the environment has not received much attention regardless of its rich cultural and religious background and its confirmation in Article 50 of the Constitution of the Islamic Republic of Iran. Mashhad is the second metropolis of Iran, located in North-East of Iran, and is one of the counties of Khorasan Razavi Province. According to the 2016 Iranian Population and Housing Census, its population was 3057679 people (The Vice-Presidency of Planning and Development of Mashhad Municipality). In Mashhad, due to several reasons including the presence of Imam Reza Shrine (PBUH) and arrival of millions of pilgrims per year, population growth, increased garbage production (production of 896534 tons of garbage in 2016 (The Vice-Presidency of Planning and Development of Mashhad Municipality), air pollution (increased number of unhealthy days from 46 days per year in 2015 to 88 days in 2016 for sensitive groups and 4 days of unhealthy air for all groups in 2016 (Center for Monitoring Environmental Pollutants of Mashhad Municipality) the 2025 vision of the city has paid attention to the environment in the form of five general objectives; however, just like the national level, no specific pattern for environmentally-compatible urban development, such as green city, is determined. Analysis of the green city index in Mashhad metropolis can considerably contribute to urban managers and planners in addition to providing a pattern for evaluating the present situation in other cities of Iran and improving the quality of life regardless of the current status of the urban environment in Iranian cities; we can preserve these environments as parts of the natural environment for future generations.   Methodology In terms of its goal, the present study is an applied one; in the study, drawing upon other studies and library sources and considering the conditions of Iran and the metropolis of Mashhad in terms of green city, 14 quantitative indices were exerted. To this end, the required data for the quantitative indices was gathered by library research from the relevant institutions. Next, the weights of quantitative indices were determined using Shannon's entropy. Then, using the VIKOR method of multi-criteria decision-making, the status of various districts of the metropolis of Mashhad in terms of quantitative indices of green city was determined. Finally, the map of the spatial distribution of quantitative indices was drawn using the ARC GIS software package.   Results and discussion In this study, to analyze the status of the metropolis of Mashhad in terms of green city features, 14 quantitative indices were used. Considering the value of the VIKOR index ranges from 0 to 1, various districts of Mashhad can be classified into five categories; very satisfactory, satisfactory, average, unsatisfactory, and very unsatisfactory in terms of quantitative indices of green city. The results of the current situation of Mashhad showed that in terms of objective indicators of the green city, District 9 of Mashhad metropolis with a value of VIKOR index of 0.056 is in first place, and the seventh region with a value of VIKOR index of 0.433 is in second place. Also, based on the results of this part of the research, District 5, with the value of VIKOR index of 0.969, is in the last rank in terms of objective characteristics of the green city.   Conclusion Similarly, the results of studies by Afshar (2011) and Shabani et al. (2017) on Tehran metropolis are indicative of the unsatisfactory situation of Tehran (the biggest metropolis of Iran) in terms of green city features. Comparing the results of the studies by Afshar (2011) and Shabani et al. (2017) with the present study on Mashhad (the second biggest metropolis of Iran) reveals the necessity for a comprehensive plan toward achieving green cities. It should be mentioned that, due to the specific conditions of Mashhad metropolis and availability or unavailability of the required data, the indices used in the present study are somewhat different from the ones used by Afshar (2011) and Shabani et al. (2017).   Funding There is no funding support.   Authors’ Contribution All of the authors approved the content of the manuscript and agreed on all aspects of the work.     Conflict of Interest Authors declared no conflict of interest.   Acknowledgments We are grateful to all the scientific

The two terms "objective" and "subjective" nowadays mean, respectively, "external" and "mental". But these terms in their primary usage in Middle Ages (from Dunes Scotos) have had exactly the opposite of today"s meaning: "objective" has meant "mental;""" and "subjective" has meant "external". These old (and nowadays completely strange) meanings have been current in philosophical literature, especially in Descartes and his contemporaries, e. g. Spinoza and Berkley. This paper tends to argument that the word "objective" must be taken as meaning "mental" in Descartes" philosophy (and other philosophers" up to 19th century), and not to confused with its modern meaning (i. e. "external").

objective: Social welfare is considered a part of human life and culture and the development of humanitarian theories with emphasis on the responsibility of all towards each other as well as the development of social and biological sciences has been effective in the emergence of new attitudes about social welfare and poverty reduction. The purpose of this study is to investigate the role of Ganjai Khan endowments in the social welfare of Kerman citizens with a poverty reduction approach. Methods: The study was all citizens over 18 years of age in Kerman. Based on this, using Cochran's formula, 384 people were selected as the sample size (this number was increased to 400, and finally 390 were used in the final analysis). Sampling was performed based on multi-stage clusters between regions, blocks and finally Kerman households. Data collection tool was a researcher-made questionnaire (based on themes taken from the qualitative part). Descriptive statistics such as mean and frequency percentage were used to describe the main variables of the research and Pearson correlation coefficient and multivariate regression and confirmatory factor analysis were used to examine the relationships between variables. Data were analyzed using Spss and Amos software. Results:The results of multivariate regression test showed that 0.410 of citizens' social welfare can be explained based on endowment management, which will result in poverty reduction. Regarding the value of standard beta coefficients of each variable, the coefficient of priority goes back to the needs, which is 0.452. The lowest value is related to the organizational innovation variable which is 0.004. This value is 0.338 for management variability, 0.423 for specialized knowledge, 0.431 for understanding endowments and finally 0.327 for organizational capability. Conclusion: The results of this study show that Ganjali Khan endowments have an important role in the objective and psychological well-being of Kermani citizens and have an important role in reducing poverty. The well-being of citizens and the consequent reduction of poverty can be very important.

For the rural population, an improvement in the income of the agriculture and allied sectors is essential for improving the welfare, rural economic prosperity, and the overall economic development. The objective of this study was to determine the optimal pattern in various activities of forest fringe villagers of Hezarjarib area in 2013 for management of resources and rural development planning. For this purpose, the sample size was estimated to be 160 households out of a total of 472, by the use of proportional random sampling method. To collect data, we used a questionnaire whose reliability coefficient was determined as 0.81, by using the split-half method. The results of linear and goal programming model showed that, among the conventional activities of villagers, animal husbandry activity with the highest proportion played the key role in households’ welfare, representing 51.42% of the total income of household. Moreover, Goal Programing (GP) model was determined as a useful model to increase households’ welfare (10.42%) and reduce deforestation (74.6%). Accordingly, it is indicated that there is a potential to improve existing conditions and access to greater welfare in the study area. Thus, the production planning and guidance according to the above results can play an important role in villagers’ activity development.

objectives: Economists postulates that in order to achieve maximum welfare gain in the community, cost and benefit of investment projects should be distributed between individual on the base of marginal utility of income. A broader opinion is that even though poorer individuals may be less able to pay for a particular benefit, they may obtain greater utility from it. In line with the broader opinion, this paper looks at regional welfare weights in Iran on the basis of a conventional consumption utility function which assumes diminishing marginal utility. Methods: In this paper we investigate real per capita consumption of 28 provinces in 1385 with statistical point. and estimate marginal utility of consumption in Iran with econometric and time series technique.Findings: There is a significant difference in real per capita consumption between provinces if a project increase the income in all provinces in a same amount their effect on welfare increase will be different. Marginal utility of income in Iran is -1.56. the minimum welfare with belong to Tehran province and maximum to Sistan province. Results: The use of distributional weights normally produces a systematic bias in investment analysis favoring projects that benefit the poor rather than the rich. This should not be regarded as being a distortion in the rational use of Scarce resources, but rather a manifestation of fundamental socio-economic objectives of the community who may wish to consider equity and efficiency objectives simultaneously. With the use of regional welfare weights the cost-benefit analysis will make the poor districts a much more favorable venue than the richer ones.

Infrastructure development is one of the key aspects to be prioritized if economic growth is to be maintained in developing countries. Amongst the bottlenecks in this path which impede the construction and expansion of the infrastructure facilities, lack of public funding is one of the primary issues. To tackle such a problem, governments are launching public-private partnership frameworks to raise funds for these projects. Studies on various methods of public-private partnerships suggest BOT (build, operate, transfer) as one of the most common and most successful ways of participation for the private sector in public projects and establishing a framework for the management of project risks. This project aims to provide a framework by which projects are prioritized according to their social welfare factors in the first step. Second step objective is to minimize the risks of taxes, utilization period, project lifetime, and highway capacity by solving a multi objective mathematical model. This is all done by proposing a two-stage optimization model based on reservation level Driven Tchebycheff Procedure (RLTP) and differential evolution (DE) algorithm to evaluate projects and prioritizing them based on their defined factors and associated risks. The model ensures that the private sector benefits from the execution and operation of the project in the BOT framework and the expected social welfare is also guaranteed. As a case study, data of the projects in transportation and road construction sector is obtained and evaluated.