Nowadays, the fundamental role of having a purpose for life in physical and mental health has been confirmed. According to victor frankl, presence of a purpose in life gives life a meaning and increases resilience against pains and traumas. The importance of the purpose in life construct reveals the need for a reliable and valid tool to measure it. Crumbaugh and Maholick's purpose in life questionnaire is the first and one of the most applied tools for the assessment of life's purposefulness. The aim of this research is to determine the factor structure of purpose in life questionnaire. The questionnaire was administered on 206 students who were selected through random stratified sampling at Ferdowsi University of Mashhad. Exploratory factor analysis showed that there are two factors "comprehension" and "purpose" and this finding were confirmed by confirmatory factor analysis. Altogether results of this research showed factor validity of the purpose in life questionnaire with a two factor pattern

One of the important objectives of policymakers in a society is reduction of income inequality. Taxes, as source of stable income for government, are the most important tools for adjusting income inequality. An efficient tax system in the form of progressive taxation can lead to improved income distribution. This paper evaluates the impact of progressive income tax on income inequality in 30 provinces during the period 2005 - 2013 in Iran. For this purpose, the average income tax rate is calculated for each income decile and its effect on Gini coefficient has been tested while controlling for other independent variables which include the share of services and industry sectors in GDP and per capita income growth in each province. The empirical method of this study was based on panel data approach for which we applied Generalized Method of Moments (GMM) to estimate the dynamic equation. The results show that although the income tax is progressive in Iran, but the tax system has failed to reduce income inequality.

The main goal of this research is to estimate the effect of production structure on income distribution in Iran. So, the researchers have used Gini coefficient, value added of five sectors concerning Agriculture, Industry and Mining, Building, Service, and Oil sectors shares of GDP during 1978-2012. The results indicate that the transition from Agriculture to Industry and Mining, Services and/or Oil increases the income inequality, while the transition from Oil to each of the other sectors reduces income inequality. Transferring the value added share of Industry and Mining to Oil or Services increases inequality. The transition from Services to Industry and Mining has equality effects on income distribution. Transferring the value added shares from Building sector to each of the Industry and Mining and Agriculture has no significant effects on inequality. Concerning the results, value added share transferring from Industry and Mining, Services and/or Oil to Agriculture reduces the inequality consistent with Kuznets Hypothesis representing that the inequality in Agriculture sector is less than other sectors.

In this paper, the effects of education structure on the distribution of income are going to be explained during 1968–2007 in Iran. In order to achieve the end, the writers try to represent the effects of education on the income in equality, the effects of different levels of education, the impact of private and public education and the difference of education effects between men and women. The findings represent that the more the level of education, the less the inequality of income. Public education reduces the income inequality more than the private education and woman education decrease the inequality more than men.

This study analyzes income distribution in Iran across six national development plans (1989–2022), focusing not only on inequality measures—such as the q_5/q_1 1 ratio, Palma ratio, Hoover index, and Lorenz curves—but also on the underlying structure of income inequality. A key contribution of this research is the combined assessment of both the level and the structure of inequality over time. Logarithmic differentiation is applied to determine whether changes stem from the top or bottom of the income distribution. Additionally, inspired by Sitthiyot and Holasut (2020), a composite index is developed by combining the Gini coefficient with decile-based ratios, allowing for structural differentiation even when Gini values are constant. The findings indicate that despite some fluctuations in standard indices, the overall structure of income distribution remained largely stable. Modest improvements occurred during the Third and Sixth Development Plans, while the First, Second, and Fifth Plans showed little to no progress. Over the study period, the Gini coefficient declined by 8.5%, the Hoover index by 9.8%, the Palma ratio by 18.2%, and the q_5/q_1 ratio by 20.7%. These results suggest limited structural change and highlight the need for more targeted and effective redistributive policies—especially under macroeconomic pressures such as inflation and external shocks.

ABSTRACTDuring the last century, ports of Persian Gulf become the most important storage, refining and transportation of crude oil, oil derivation, petrochemical products and also, business activities. Nowadays, due to functional diversity between ports, the impact of port activities on the development of urban spaces will be different, and this issue leads to structural differences of port cities. The purpose of this research is to identify the key variables affecting the relations and spatial structure of port-city in Dubai as the most thriving and successful port-city in the Persian Gulf. This research is based on deductive reasoning and carried out by analysis of cross effects with secondary data (results of other prominent articles) and also primary data (questionnaire). sampling method is based on purposive sampling and Micmac software was used to analyze the data. Output of Micmac software shows the position of the instability of the system. Therefore, the position of each variables in the conceptual model can be categorized to driver, linkage, dependent, and autonomous factors. The research findings indicate 4 variables (like as “income, cost and investmnets in port-city”) can be introduced as a driver factor, 5 variables (like as “advanced multimodal transportation in the port”) can be introduced as a linkage factor, 6 variables (like as “quality of living environment and desirable city”) can be introduced as a dependent factor, 3 variables (like as “environmental protection and sustainable development of the city-port”) can be introduced as an autonomous factor. The rapid development of Dubai can be explained by the purposeful distribution of revenues from trade and tourismExtended AbstractIntroductionDuring the last century, ports of Persian Gulf become the most important storage, refining and transportation of crude oil, oil derivation, petrochemical products and also, business activities. The global increase in oil demand since the 1950s led to the creation of discovery of new oil wells and large industrial areas. With the construction of new oil or gas facilities in the port areas, increasing oil revenues contributed to the countries of the Persian Gulf region and form a new geographical relationship between ports and coastal cities which had an impact on the spatial structure and relation of them. Nowadays, due to functional diversity between ports, the impact of port activities on the development of urban spaces will be different, and this issue leads to structural differences of port cities. In the 1950s, Containerization (container loading technology) was based in some of the world's ports and created a huge transformation in the shipping industry, which had a significant impact on the development of ports. Although the ports of the Persian Gulf have made a significant contribution to the economic growth and physical development of other ports in the world, but few researches have been done on the variables and factors affecting the development of the spatial structure of the important ports of the Persian Gulf. This region, due to its unique geographical location, has always been considered as a most important corridor in the field of economic and transportation throughout history. Some of the most important energy and commercial ports in this region are: Dubai, Manama, Kuwait, Dammam, Doha, Bushehr, Bandar-Abbas and Assaluyeh. In this regard, the purpose of this research is to identify the key variables affecting the relations and spatial structure of port-city in Dubai as the most thriving and successful port-city in the Persian Gulf. MethodologyThis research is based on deductive reasoning and carried out by analysis of cross effects with secondary data (results of other prominent articles) and also primary data (questionnaire). The method used in this research is quantitative and the sampling method is based on purposive sampling. the variables affecting the spatial structure of port-city relations were identified in the form of a review of 31 prominent articles. 25 experts (who had comprehensive knowledge and information about the development process of the city-port of Dubai) participated to determine the effectiveness or influence of variables. Finally, the output of data analysis was done by the Micmac software. Results and discussionOutput of Micmac software shows the position of the variables in the diagram that it indicates their status in the system and their role in the dynamics and changes of the system. The method of distribution and dispersion of the variables in the spatial structure of port-city relations indicates the instability of the system. Therefore, based on the output of the system, the position of each variables in the conceptual model can be identified in five categories (driver, linkage, dependent, autonomous and regulatory variables). According to the results, some variables such as “the changes in the strategic positions” and “geopolitics of port-city”, “the modification of the management method” and “regional planning of the ports”, “the promotion of local governance in the relations between port-city” and “the way of national and international management of ports have been introduced as driver variables. On the other hand, five variables consist of “advanced multimodal transportation in the port” and “income, cost and investment in the port-city”, “the contrast and physical integration of the port - city space”, “the development of various industrial and production activities in the ports and their local hinterland” and “their qualities Financial and commercial policies of ports” have been introduced as linkage variables. Findings of research also shows that some variables consist of “quality of living environment and desirable city”, “quantity and quality of transit corridors (rail, road and air) to hinterland”, “construction and launching the new port (sea port or dry port)”, “terminal facilities and infrastructure and warehousing”, “conflict or convergence between the city and the port” and “increase in population growth rate and migration to the port - city” categorized as dependent variables. Three variables including “cultural and historical background of ports”, “use of cheaper energy, Less-polluted, clean and renewable energies in the city-port” and “environmental protection and sustainable development of the city-port” categorized as autonomous variables. Finally, a variable with the title of “improvement in management and information technology and development in loading, unloading and storage of commodities” have been introduced as regulatory variables. The findings of this research have a remarkable similarity with other researches carried out in the field of city-port relation and clearly emphasize the direct impact of the "investment in port-city" in the development of them. For example, Grossmann (2008) emphasized that city-port of Hamburg has become one of the largest ports in Northern Europe during the last few decades due to huge domestic and foreign investment. ConclusionThis research carried out in order to introduce and explain the key variables affecting the development of the spatial structure of the port-city of Dubai. On this basis, 21 variables have been extracted by systematic reviews of prominent articles. In the following, 25 experts were selected with the purposive sampling method. Among the 21 variables extracted, 4 variables (like as “geopolitics of port-city”) introduced as a driver factor, 5 variables (like as “advanced multimodal transportation in the port”) introduced as a linkage factor, 6 variables (like as “quality of living environment and desirable city”) introduced as a dependent factor, 3 variables (like as “environmental protection and sustainable development of the city-port”) introduced as an autonomous factor. The rapid development of Dubai can be explained by the purposeful distribution of revenues from trade and tourism. A part of these revenues has been directed towards investment in important transportation infrastructures such as airports and ports of this city. These strategies have a wide impact on improving the economic growth of the city and the development of the port in order to adapt with the global trade and advanced technologies. FundingThere is no funding support. Authors’ ContributionAuthors contributed equally to the conceptualization and writing of the article. All of the authors approved the content of the manuscript and agreed on all aspects of the work declaration of competing interest none. Conflict of InterestAuthors declared no conflict of interest. Acknowledgments We are grateful to all the scientific consultants of this paper.

Income distribution and related efforts to improve it are the most important issues facing government. It is affected by important factors. The present study aims at analyzing tax structure on income distribution. The variables which are used are GINI coefficient as dependent variables, income per capita, education, share of tax on personal income, share of tax on corporate, total income tax and share of tax on goods and services. We apply the panel method to data of 19 countries from 1995 to 2012. Also the model is estimated for Iran. Our hypothesis is that income distribution is influenced by tax structure. The results show that education has no significant effect on income distribution. Kuznets inverse U hypothesis tested in this study and results indicate that Kuznets hypothesis is confirmed in panel model but the country (Iran) has not been approved Kuznets hypothesis. Due to the results of this study, article hypothesis was confirmed. With increasing of personal income tax and corporate income tax share of total tax income, GINI coefficient will be decreased and income distribution will be improved. Also with increasing in share of tax on goods and services, income distribution will be worse and GINI coefficient will be increased. The used cross- section regression confirmed aforementioned results and with increasing in total income tax, income distribution will improve.

A B S T R A C T The current research is descriptive-analytical. In terms of purpose, it is in the category of applied research. Both library and field methods have collected the information required for this research. The statistical population of the research consisted of citizens living in Kasra, Azadi, Rezvan, Rahan, Hasht Behesht and Zeytoun residential complexes, which consisted of 6588 people, and the sample size according to the Cochran formula was 364. The study results of the studied residential complexes from the perspective of spatial connectivity indicators indicated that among the investigated complexes, Rahan residential complex had the lowest connectivity index compared to the rest of the complexes, and the highest share of this comparison goes to Kasra residential complex. From the comparison of the complexes based on the interconnection index, we conclude that the location of spaces and accesses in Rahan complex is very weak. Compared to the rest of the complexes, the location of access and communication in Kasra complex is lower. Moreover, Rezvan has been suitable and successful. It is said that the increase of connection in public spaces occurs with increase of sociability. Among the other results of this research, the spatial order component with the path coefficient value of 0.368 has the highest path coefficient among the investigated components. In the first place, the playability component with a path coefficient of 0.253 is in the second place, the multi-purpose component with a path coefficient of 231 0.0 in the third place, the security component with a path coefficient of 0.162 is in the fourth place and the environmental comfort component is in the fifth place with a path coefficient of 0.153 Extended Abstract Introduction In the public space of neighborhoods and residential environments, the issue of sociability has been less addressed. Public spaces can boost the social life of citizens by strengthening social interactions and being involved in social sustainability. The residential environment conveys the residents a sense of well-being and satisfaction through physical, social or symbolic features. In each residential complex, according to the different arrangements of the blocks in it, it is possible to reach different influential indicators of the public space in it, which, according to the way they are arranged, have different potentials from the point of view of sociability in them. Declining sociability causes many problems in relationships between people and reduces the sense of belonging to a place, security, and other issues caused by not paying attention to the quality of collective life in housing. The main question is: - What are the components of the spatial structure affecting the sociability of residential complexes in the city of Kermanshah?   Methodology The current research is descriptive-analytical. In terms of purpose, it is in the category of applied research. Two library and field methods have collected the information needed for this research. In the field method, primary data collection has been done according to the research questions by designing a 5-scale Likert scale questionnaire. The statistical population of the study consisted of citizens living in Kasra, Azadi, Rezvan, Rahan, Hasht Behesht and Zeytoun residential complexes, which consisted of 6588 people, and the sample size was estimated to be 364 people using the Cochran formula. Factors such as the ease of access to the complexes, the willingness and cooperation of the residents and the management of the complexes were also influential in selecting the samples studied in this research. In this research, in order to investigate the sociability of residential complexes based on the   theoretical framework prepared in the present research, the physical indicators affecting this issue include five indicators of "connectivity, interconnectedness, control, selection and depth" in each of The studied samples have been evaluated and analyzed in public spaces including the playground, gathering space, parking lot, and lobby. This research used Depthmap analytical software and structural equation modeling software to analyze the data.   Results and discussion In this research, the relation of sociability of public spaces of residential complexes in Kermanshah, which includes Kasra residential complex, Azadi residential complex, Rezvan residential complex, Rahan residential complex, Hasht Behesht residential complex and Zeytoun residential complex as the basis of the research case. Among the samples studied, Rahan residential complex has the lowest connectivity index compared to other complexes; the largest share of this comparison goes to Kasra residential complex. In the meantime, Zeytoun residential complex, then Azadi, Hasht Behesht and Rezvan have the lowest to the highest amount. It can be seen that the public spaces of Rahan residential complex do not have the desired level of connectivity. As the communication increases, the spaces will become more sociable. From the comparison of the complexes based on the interconnection index, we conclude that the location of the spaces and accesses in the Rahan complex is very weak and lower than the rest of the complexes. According to the numbers extracted, Zeytoun complex and following that Kasra and Rezvan complexes are at the same level of performance, and Azadi and Hasht Behesht complexes have the best performance in this aspect; the placement of access and communications in Kasra and Rezvan complexes has been appropriate and successful. It is said that the increase of connection in public spaces occurs with the increase of sociability. Among the investigated sociability components, the spatial order component with the path coefficient value of 0.368 has the highest path coefficient. In the first place the playability component with a path coefficient of 0.253 is in the second place, and the multipurpose component with a path coefficient of 0.231. In the third place, the security component, with a path coefficient of 0.162, is in the fourth place, and the environmental comfort component is in the fifth place, with a path coefficient of 0.153.     Conclusion Living in the common spaces of residential complexes allows one to be with others comfortably and effortlessly. A person can take a usual walk to be among people, sit on a bench near the door for a short time, and even sometimes look out of the window can be a worthwhile activity. In this research, an attempt was made to examine the condition of the studied residential complexes from the perspective of sociability. The results showed that Rahan residential complex had the lowest level of connectivity index compared to the rest of the complexes and the largest share of this. The comparison reaches Kasra residential complex. In the meantime, Zeytoun residential complex, then Azadi, Hasht Behesht and Rezvan have the lowest to the highest amount. It can be seen that the public spaces of Rahan residential complex do not have the desired level of connectivity. As the communication increases, the spaces will become more sociable. From the comparison of the complexes based on the interconnection index, we conclude that the location of spaces and accesses in Rahan complex is very weak. Compared to the rest of the complexes, the location of access and communication in Kasra complex is lower. And Rezvan has been suitable and successful. It is said that the increase of connection in public spaces occurs with the increase of sociability. Extended Abstract Introduction In the public space of neighborhoods and residential environments, the issue of sociability has been less addressed. Public spaces can boost the social life of citizens by strengthening social interactions and being involved in social sustainability. The residential environment conveys the residents a sense of well-being and satisfaction through physical, social or symbolic features. In each residential complex, according to the different arrangements of the blocks in it, it is possible to reach different influential indicators of the public space in it, which, according to the way they are arranged, have different potentials from the point of view of sociability in them. Declining sociability causes many problems in relationships between people and reduces the sense of belonging to a place, security, and other issues caused by not paying attention to the quality of collective life in housing. The main question is: - What are the components of the spatial structure affecting the sociability of residential complexes in the city of Kermanshah?   Methodology The current research is descriptive-analytical. In terms of purpose, it is in the category of applied research. Two library and field methods have collected the information needed for this research. In the field method, primary data collection has been done according to the research questions by designing a 5-scale Likert scale questionnaire. The statistical population of the study consisted of citizens living in Kasra, Azadi, Rezvan, Rahan, Hasht Behesht and Zeytoun residential complexes, which consisted of 6588 people, and the sample size was estimated to be 364 people using the Cochran formula. Factors such as the ease of access to the complexes, the willingness and cooperation of the residents and the management of the complexes were also influential in selecting the samples studied in this research. In this research, in order to investigate the sociability of residential complexes based on the theoretical framework prepared in the present research, the physical indicators affecting this issue include five indicators of "connectivity, interconnectedness, control, selection and depth" in each of The studied samples have been evaluated and analyzed in public spaces including the playground, gathering space, parking lot, and lobby. This research used Depthmap analytical software and structural equation modeling software to analyze the data.   Results and discussion In this research, the relation of sociability of public spaces of residential complexes in Kermanshah, which includes Kasra residential complex, Azadi residential complex, Rezvan residential complex, Rahan residential complex, Hasht Behesht residential complex and Zeytoun residential complex as the basis of the research case. Among the samples studied, Rahan residential complex has the lowest connectivity index compared to other complexes; the largest share of this comparison goes to Kasra residential complex. In the meantime, Zeytoun residential complex, then Azadi, Hasht Behesht and Rezvan have the lowest to the highest amount. It can be seen that the public spaces of Rahan residential complex do not have the desired level of connectivity. As the communication increases, the spaces will become more sociable. From the comparison of the complexes based on the interconnection index, we conclude that the location of the spaces and accesses in the Rahan complex is very weak and lower than the rest of the complexes. According to the numbers extracted, Zeytoun complex and following that Kasra and Rezvan complexes are at the same level of performance, and Azadi and Hasht Behesht complexes have the best performance in this aspect; the placement of access and communications in Kasra and Rezvan complexes has been appropriate and successful. It is said that the increase of connection in public spaces occurs with the increase of sociability. Among the investigated sociability components, the spatial order component with the path coefficient value of 0.368 has the highest path coefficient. In the first place the playability component with a path coefficient of 0.253 is in the second place, and the multipurpose component with a path coefficient of 0.231. In the third place, the security component, with a path coefficient of 0.162, is in the fourth place, and the environmental comfort component is in the fifth place, with a path coefficient of 0.153.     Conclusion Living in the common spaces of residential complexes allows one to be with others comfortably and effortlessly. A person can take a usual walk to be among people, sit on a bench near the door for a short time, and even sometimes look out of the window can be a worthwhile activity. In this research, an attempt was made to examine the condition of the studied residential complexes from the perspective of sociability. The results showed that Rahan residential complex had the lowest level of connectivity index compared to the rest of the complexes and the largest share of this. The comparison reaches Kasra residential complex. In the meantime, Zeytoun residential complex, then Azadi, Hasht Behesht and Rezvan have the lowest to the highest amount. It can be seen that the public spaces of Rahan residential complex do not have the desired level of connectivity. As the communication increases, the spaces will become more sociable. From the comparison of the complexes based on the interconnection index, we conclude that the location of spaces and accesses in Rahan complex is very weak. Compared to the rest of the complexes, the location of access and communication in Kasra complex is lower. And Rezvan has been suitable and successful. It is said that the increase of connection in public spaces occurs with the increase of sociability.