University of IsfahanUrban Economics2588-48677220220923Investigating urban household's willingness to pay for investing in energy efficient equipment: the role of perceived value and energy efficiency labelInvestigating urban household's willingness to pay for investing in energy efficient equipment: the role of perceived value and energy efficiency label1162782810.22108/ue.2023.134741.1224FASamanehAbediAssistant Professor, Faculty of Economics, Allameh Tabataba University, Tehran, IranMaryamKarimiMaster of Economic Sciences majoring in Energy EconomicsJournal Article20220831The consumption of energy has led to severe global challenges in terms of climate change and environmental issues. Household appliances are widely used products that consume significant amounts of electricity. Therefore, among energy consumers, the household sector plays a crucial role in terms of energy consumption patterns and levels. This is because, with the improvement of household living standards and the necessity of using household appliances, the demand for electrical energy is increasing, and there will always be a risk of energy waste in this sector. Extensive use of energy-efficient appliances contributes to energy conservation, resource efficiency, and the development of a low-carbon economy. Therefore, in these circumstances, providing appropriate solutions to reduce energy consumption and household expenses is essential. The utilization of energy-efficient technologies in the household sector is of particular importance. In this research, based on a comprehensive model grounded in planned behavior theory and perceived value literature, the determination of the factors influencing the acceptance of energy-efficient washing machines and refrigerators in the household sector, as well as calculating the willingness to pay by urban households for investing in these technologies, have been addressed. In this regard, a survey method was employed using a contingent valuation approach. The research data was collected through questionnaire completion (with a sample size of 400 individuals) and face-to-face interviews with households residing in District 4 of Tehran in 2020. The study results indicate that for every 1% increase in the proposed price, the likelihood of willingness to pay extra for purchasing an energy-efficient washing machine and refrigerator decreases by 2.79% and 1.81%, respectively. Furthermore, the results reveal that the proposed price, age, income, and household expenses have the most significant impact on the probability of households' willingness to pay extra. Additionally, the maximum willingness to pay by households for using an energy-efficient washing machine at the highest energy level A+++ (60% energy savings) is 24.9 million rials, and for an A++ refrigerator (28% energy savings), it is 49.9 million rials. Therefore, based on the results, the provision of government incentives and facilitation of purchasing through financial assistance can encourage consumers to invest in energy-efficient equipment. Media planning can also play a significant role in creating awareness and promoting the use of energy-efficient technologies. Furthermore, organizing educational workshops in neighborhood centers to disseminate information about the benefits of energy-efficient equipment is another proposed solution.The consumption of energy has led to severe global challenges in terms of climate change and environmental issues. Household appliances are widely used products that consume significant amounts of electricity. Therefore, among energy consumers, the household sector plays a crucial role in terms of energy consumption patterns and levels. This is because, with the improvement of household living standards and the necessity of using household appliances, the demand for electrical energy is increasing, and there will always be a risk of energy waste in this sector. Extensive use of energy-efficient appliances contributes to energy conservation, resource efficiency, and the development of a low-carbon economy. Therefore, in these circumstances, providing appropriate solutions to reduce energy consumption and household expenses is essential. The utilization of energy-efficient technologies in the household sector is of particular importance. In this research, based on a comprehensive model grounded in planned behavior theory and perceived value literature, the determination of the factors influencing the acceptance of energy-efficient washing machines and refrigerators in the household sector, as well as calculating the willingness to pay by urban households for investing in these technologies, have been addressed. In this regard, a survey method was employed using a contingent valuation approach. The research data was collected through questionnaire completion (with a sample size of 400 individuals) and face-to-face interviews with households residing in District 4 of Tehran in 2020. The study results indicate that for every 1% increase in the proposed price, the likelihood of willingness to pay extra for purchasing an energy-efficient washing machine and refrigerator decreases by 2.79% and 1.81%, respectively. Furthermore, the results reveal that the proposed price, age, income, and household expenses have the most significant impact on the probability of households' willingness to pay extra. Additionally, the maximum willingness to pay by households for using an energy-efficient washing machine at the highest energy level A+++ (60% energy savings) is 24.9 million rials, and for an A++ refrigerator (28% energy savings), it is 49.9 million rials. Therefore, based on the results, the provision of government incentives and facilitation of purchasing through financial assistance can encourage consumers to invest in energy-efficient equipment. Media planning can also play a significant role in creating awareness and promoting the use of energy-efficient technologies. Furthermore, organizing educational workshops in neighborhood centers to disseminate information about the benefits of energy-efficient equipment is another proposed solution.https://ue.ui.ac.ir/article_27828_bef7188184998737ccb2463714c1c6c0.pdfUniversity of IsfahanUrban Economics2588-48677220220923Investigating the Efficiency of Investment in Infrastructure Using the Data Envelopment Analysis (DEA) MethodInvestigating the Efficiency of Investment in Infrastructure Using the Data Envelopment Analysis (DEA) Method17382786310.22108/ue.2023.136682.1246FAMohammadBaniameryanMSc. Student, Department of Financial Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, IranAsgarNoorbakhshAssistant Prof, Department of Financial Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, IranJournal Article20230201The purpose of the current research is to investigate the efficiency of investment in the country's infrastructure by provinces using Data Envelopment Analysis (DEA). The statistical population of the research is all the provinces of Iran and the time period is 10 years, from 2011 to 2020. The information was collected from the yearbooks published by the website of the National Statistics Center of Iran. In this research, using the Data Envelopment Analysis (DEA) method, and using the statistical population and the investigated time period, separately and generally, the efficiency of investment in infrastructures (transportation, healthcare, communication and telecommunications, and water and sewage) has been investigated. In this research, considering the growth of infrastructures and the budget allocated to each infrastructure in each province, we will examine the issue of how many provinces have maximum efficiency (desirable) and how many provinces have not had maximum efficiency in the year under review. The results indicate that in more than half of our statistical population, the investigated infrastructures did not have maximum efficiency, which means that the budget allocated to that infrastructural area was not used in a desirable manner.The purpose of the current research is to investigate the efficiency of investment in the country's infrastructure by provinces using Data Envelopment Analysis (DEA). The statistical population of the research is all the provinces of Iran and the time period is 10 years, from 2011 to 2020. The information was collected from the yearbooks published by the website of the National Statistics Center of Iran. In this research, using the Data Envelopment Analysis (DEA) method, and using the statistical population and the investigated time period, separately and generally, the efficiency of investment in infrastructures (transportation, healthcare, communication and telecommunications, and water and sewage) has been investigated. In this research, considering the growth of infrastructures and the budget allocated to each infrastructure in each province, we will examine the issue of how many provinces have maximum efficiency (desirable) and how many provinces have not had maximum efficiency in the year under review. The results indicate that in more than half of our statistical population, the investigated infrastructures did not have maximum efficiency, which means that the budget allocated to that infrastructural area was not used in a desirable manner.https://ue.ui.ac.ir/article_27863_001a4be4480f7e73a7dd614b2e893b76.pdfUniversity of IsfahanUrban Economics2588-48677220220923Literary Tourism with Emphasis on Myths and Folk Stories: Creative Economy for Isfahan CityLiterary Tourism with Emphasis on Myths and Folk Stories: Creative Economy for Isfahan City39562831910.22108/ue.2023.138432.1264FAFaribaSaeed MehrMaster in Tourism, Art University of Isfahan, Isfahan, IranNedaTorabi FarsaniAssociate Professor in Tourism, Department of Museum and Tourism; Art University of Isfahan, Isfahan, IranAfsanehSaadati JbeliLecturer in Literature, Art University of Isfahan, Isfahan, IranJournal Article20230719Literary heritage is one of the cultural and creative industries, which today literary tourism as a special interest tourism strives for its sustainable commercialization. The objectives of the present research are to identify the literary myths and folk stories in Isfahan city and the places related to them. In this regard, the qualitative method (thematic analysis) was used. The result of the data analysis illustrated that the city of Isfahan by including places with four sub-themes of folk stories about Abbas the Great; The folk tale about the needle men's alley (Soozangarha alley) and the Afghan attack on Isfahan; The story of eggs and the folk tale of fortune-telling of girls have a high potential for the development of literary tourism with an emphasis on folk tales. In addition, for the main theme of mythology and literature, six sub-themes were identified, which were: Mitra (myth of light); Symbols of Good vs. Evil in Iranian mythology; Anahita who is referred to as "Goddess of Waters" in Iranian mythology; The love story of Khosrow Parviz and Isfahan's lover, Shekar Isfahani; Sacred trees in mythology; The stories of One Thousand and One Nights, Kalīla wa-Dimna, Amir Arsalan-e Namdar, etc. Lastly, six literary tourism routes of Isfahan City were identified with an emphasis on myths and folk storiesLiterary heritage is one of the cultural and creative industries, which today literary tourism as a special interest tourism strives for its sustainable commercialization. The objectives of the present research are to identify the literary myths and folk stories in Isfahan city and the places related to them. In this regard, the qualitative method (thematic analysis) was used. The result of the data analysis illustrated that the city of Isfahan by including places with four sub-themes of folk stories about Abbas the Great; The folk tale about the needle men's alley (Soozangarha alley) and the Afghan attack on Isfahan; The story of eggs and the folk tale of fortune-telling of girls have a high potential for the development of literary tourism with an emphasis on folk tales. In addition, for the main theme of mythology and literature, six sub-themes were identified, which were: Mitra (myth of light); Symbols of Good vs. Evil in Iranian mythology; Anahita who is referred to as "Goddess of Waters" in Iranian mythology; The love story of Khosrow Parviz and Isfahan's lover, Shekar Isfahani; Sacred trees in mythology; The stories of One Thousand and One Nights, Kalīla wa-Dimna, Amir Arsalan-e Namdar, etc. Lastly, six literary tourism routes of Isfahan City were identified with an emphasis on myths and folk storieshttps://ue.ui.ac.ir/article_28319_4e3d08bb583e9ab9a4bfd7ac2f594b3d.pdfUniversity of IsfahanUrban Economics2588-48677220220923Evaluating and spatial analysis of housing quality in inefficient urban fabrics of Tehran (case study: Kianshahr neighborhood)Evaluating and spatial analysis of housing quality in inefficient urban fabrics of Tehran (case study: Kianshahr neighborhood)57662834710.22108/ue.2024.137898.1260FAHabibollahFasihiAssociate Professor, Faculty of Geographical Sciences, Kharazmi University, Tehran, IranJournal Article20230601Enjoying a satisfactory place to live is one of the most valuable aspects of people's lives. This research aimed to evaluate the quality of housing in Kianshahr. Kianshahr is a neighborhood of District 15 of Tehran Municipality with an area of about 508 hectares and a population of 77,201 people. This research has an applied nature and a descriptive-analytical method. The data is taken from the 2015 Iranian Public Census. The statistical sample of the survey consists of 378 heads of resident households. The data collection tool in the questionnaire contains 28 items to evaluate 28 indicators, and the respondent should evaluate each item in 5 qualitative ranges from very good to very bad. For the spatial analysis, the coordinates of the respondent’s location were determined in the global meridian system, and a point layer was formed from them. A spatial distribution map was drawn using Interpolation tools in Arc GIS. Findings indicate the average level of housing quality. Out of 28 indicators, 1 showed a very favorable level, 7 showed a favorable level, 3 showed an unfavorable level, and 15 indicators showed an average level. There is duality in the housing quality of the neighborhood. In one-third of the neighborhood, where the first low-cost apartment complexes were built for the low-income classes in the late 1960s, housing quality was very low. In two-thirds of the neighborhoods, that have been under construction in empty lands or renovation in the last two or three decades, housing quality is at a higher level. The quality of housing in the studied neighborhood has a close relationship with the age of the building blocks and the time of construction, so in the older parts, not only the buildings in terms of the quality of materials and compliance with construction engineering but also in terms of design and services have a lower level due to non-compliance with the regulations of the master plan and urban management control.Enjoying a satisfactory place to live is one of the most valuable aspects of people's lives. This research aimed to evaluate the quality of housing in Kianshahr. Kianshahr is a neighborhood of District 15 of Tehran Municipality with an area of about 508 hectares and a population of 77,201 people. This research has an applied nature and a descriptive-analytical method. The data is taken from the 2015 Iranian Public Census. The statistical sample of the survey consists of 378 heads of resident households. The data collection tool in the questionnaire contains 28 items to evaluate 28 indicators, and the respondent should evaluate each item in 5 qualitative ranges from very good to very bad. For the spatial analysis, the coordinates of the respondent’s location were determined in the global meridian system, and a point layer was formed from them. A spatial distribution map was drawn using Interpolation tools in Arc GIS. Findings indicate the average level of housing quality. Out of 28 indicators, 1 showed a very favorable level, 7 showed a favorable level, 3 showed an unfavorable level, and 15 indicators showed an average level. There is duality in the housing quality of the neighborhood. In one-third of the neighborhood, where the first low-cost apartment complexes were built for the low-income classes in the late 1960s, housing quality was very low. In two-thirds of the neighborhoods, that have been under construction in empty lands or renovation in the last two or three decades, housing quality is at a higher level. The quality of housing in the studied neighborhood has a close relationship with the age of the building blocks and the time of construction, so in the older parts, not only the buildings in terms of the quality of materials and compliance with construction engineering but also in terms of design and services have a lower level due to non-compliance with the regulations of the master plan and urban management control.https://ue.ui.ac.ir/article_28347_3713d6e3ba101a5aa11e56468ea11f34.pdfUniversity of IsfahanUrban Economics2588-48677220220923Investigating and Analyzing the Effect of the Government's Financial Policies on the Geographical Distribution of Manufacturing Enterprises among the Provinces of Iran: A Case Study of the Garment IndustryInvestigating and Analyzing the Effect of the Government's Financial Policies on the Geographical Distribution of Manufacturing Enterprises among the Provinces of Iran: A Case Study of the Garment Industry67822822710.22108/ue.2024.140051.1279FAMohammadaliMaghsoudpourAssistant Professor of Economics, Baft Higher Education Complex, Shahid Bahonar University of Kerman, Kerman, IranBehnamKaramshahiAssistant Professor of Accounting, Baft Higher Education Complex, Shahid Bahonar University of Kerman, Kerman, IranJournal Article20231210This article aims to investigate and analyze the effect of the government's financial policies on the geographical distribution of garment manufacturing industries in the provinces of Iran using dynamic panel data and the generalized moments method in the period of 2013-2021. The Herfindahl-Hirschman Concentration Index (HHI) was used to measure the level of concentration of companies, and the two variables of the share of the province's construction budget and tax exemptions under Article 132 (DTL) were used to measure the government's financial policies. The results of the research show the positive and significant effect of the province's share of the construction budget on the choice of the business location, but tax exemptions have not been able to have a significant effect on the choice of the location of the economic activity of garment manufacturing industries. Therefore, it is recommended to first evaluate other factors that are effective in deciding the location of the company's activity, and if it is ensured that the social benefits of the dispersion of companies are superior to their concentration, the policy of tax exemptions in Article 132 (DTL) to be reviewed so that it has the necessary efficiency according to the policy maker's goals.This article aims to investigate and analyze the effect of the government's financial policies on the geographical distribution of garment manufacturing industries in the provinces of Iran using dynamic panel data and the generalized moments method in the period of 2013-2021. The Herfindahl-Hirschman Concentration Index (HHI) was used to measure the level of concentration of companies, and the two variables of the share of the province's construction budget and tax exemptions under Article 132 (DTL) were used to measure the government's financial policies. The results of the research show the positive and significant effect of the province's share of the construction budget on the choice of the business location, but tax exemptions have not been able to have a significant effect on the choice of the location of the economic activity of garment manufacturing industries. Therefore, it is recommended to first evaluate other factors that are effective in deciding the location of the company's activity, and if it is ensured that the social benefits of the dispersion of companies are superior to their concentration, the policy of tax exemptions in Article 132 (DTL) to be reviewed so that it has the necessary efficiency according to the policy maker's goals.https://ue.ui.ac.ir/article_28227_ffb907d5b5ced2795cd3e27b67b0bbe7.pdfUniversity of IsfahanUrban Economics2588-48677220220923Introducing the Business-Community Matching Model (CBM) for Rural Employment Decision-Making in Local Communities
(Case Study: Kahrouyeh Village in Shahreza Township)Introducing the Business-Community Matching Model (CBM) for Rural Employment Decision-Making in Local Communities
(Case Study: Kahrouyeh Village in Shahreza Township)831002842910.22108/ue.2024.139472.1272FAMinaKashani HamedaniResearcher of Academic Center for Education, Culture and Research (ACECR), Isfahan, IranParastouDaroueiResearcher of Academic Center for Education, Culture and Research (ACECR), Isfahan, IranMohammad AminHosseinikiaMSc. in Business Administration, Semnan University, Semnan, IranMehdiZhianpourAssistant Professor, Faculty Member of Isfahan Academic Center for Education, Culture and Research (ACECR), Isfahan, IranJournal Article20231017Developing local communities with a sustainable economic approach is of particular importance. On this basis, managing community resources is one of the critical goals of the economic development of these communities, which gives everyone a chance to participate in the development process. Due to the complexity of the economic planning of communities, it is necessary to use new models in these programs that can help identify different sectors of economic development and take into account considerations such as the environmental and social effects of development. The Business and Community Matching Model (CBM) is one of the most practical and newest models in analyzing studies and employment of local communities and decision-making processes for them. In applying this model, the researcher must make several suggestions for optimal investment in economic jobs in a region based on factors affecting different areas of that region. The CBM model consists of eight steps: preparation and extraction of village assets, village goals, occupation groups list, job benefits, job needs, calculation of compatibility criteria, calculation of desirability criteria, and finally, offering the optimal occupation groups. This model has been implemented in "Kahrouyeh village." The analysis results show that the priority of the jobs proposed includes the occupation groups of agricultural and horticultural development, construction and development of greenhouses and animal husbandry, providing tourism services, and construction and development of units and workshops and workshops-exhibitions of handicraft production. Finally, the jobs related to them are proposed.Developing local communities with a sustainable economic approach is of particular importance. On this basis, managing community resources is one of the critical goals of the economic development of these communities, which gives everyone a chance to participate in the development process. Due to the complexity of the economic planning of communities, it is necessary to use new models in these programs that can help identify different sectors of economic development and take into account considerations such as the environmental and social effects of development. The Business and Community Matching Model (CBM) is one of the most practical and newest models in analyzing studies and employment of local communities and decision-making processes for them. In applying this model, the researcher must make several suggestions for optimal investment in economic jobs in a region based on factors affecting different areas of that region. The CBM model consists of eight steps: preparation and extraction of village assets, village goals, occupation groups list, job benefits, job needs, calculation of compatibility criteria, calculation of desirability criteria, and finally, offering the optimal occupation groups. This model has been implemented in "Kahrouyeh village." The analysis results show that the priority of the jobs proposed includes the occupation groups of agricultural and horticultural development, construction and development of greenhouses and animal husbandry, providing tourism services, and construction and development of units and workshops and workshops-exhibitions of handicraft production. Finally, the jobs related to them are proposed.https://ue.ui.ac.ir/article_28429_e1a2a5f2192f47b8456fc05c17c087a3.pdf