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Aliakbar Anabestani, Mojtaba Rosta,
Volume 1, Issue 2 (3-2013)
Volume 1, Issue 2 (3-2013)
Abstract
At present, agriculture is being considered as a major economic activity in Iranian rural settlments. It provides essential needs of the settlers, creates job opportunities, increases revenue as well as plays a prominent role regarding the peasant household’s economy. However, agriculture by itself is not capabale in reponsding to household livelihood. That is, there exists a need for complementary source of income such as fuel wood production units. The major objective of this study is to investigate the process of forming these producton units and to investigate their existance in Seemacan Fars. The research method is based on analytical – descriptivemethod. This is followed by filling questionnaire by village councils pertaining to 40 villages as well as 249 rural households. This study suggests that emergence of this type of complementary economic unites dated back to 1370. It speeds up in 1380. The majority of these production unites are located in pole be payee and Koshksar, moheet Ab and Ab shoykh. Economically speaking the income of each rural household is 2.5 times of regular, non dependent householdes to this source. Furthermore, there exists a significant relationships between unemployment (r=0.274) and per-capita agriculture land (r=-0.224). It is further suggested that there is a significant correlation between household’s economic status and p revalenceof these production units. The packaging factory and corresponding ::::union:::: and Insurance are highly recommended.
Ali Akbar Anabestani, Syed Hadi Tayebnia, Hamid Shayan, Mohammad Reza Rezvani,
Volume 3, Issue 10 (3-2015)
Volume 3, Issue 10 (3-2015)
Abstract
Introduction
Lack of variations existed in economic settings and a job opportunity is being considered as the most significant characteristics of the rural country’s economic structures. It is argued that occurrence of variations in rural economic activities as an approach, could be considered as an appropriate measure in which most of the development theoricians believe in regarding the mitigation of the negative impacts associated with this mal structure as well as the achievement of sustainable rural development. The major objective of this study deals with identification of main barriers regarding the occurrence of variations in rural economic activities of the bordering villages located in Marivan.
Methodology
The research method based on the objectives of the study has applied nature. It has descriptive and analytical essence. The statistical society is associated with Marivan which is located in 10 km of Iraq international border. 18 villages were selected as a sample. The sample size based on application of Cochran formula amounted to be 334 households. This study further supports the application of SPSS software for analysis purposes.
Conclusion
This study suggests that barriers toward regional variations could be classified into social, physical, and managerial – institutional ones. However, there is not a drastic difference between all the selected villages from barriers stand points. Generally speaking the barriers are numerous. Based on step wise regression method, managerial institutional, physical, economic and social variables are capable of explaining 88% of the variation. It further suggests that the managerial- institutional structures compare with others are more responsible for lack of variations in rural economic activities.
Aliakbar Anabestani, Mehdi Javanshiri,
Volume 4, Issue 14 (2-2016)
Volume 4, Issue 14 (2-2016)
Abstract
Introduction
Regarding the fact that economic activities, in particular, and resources and facilities, in general, are poorly concentrated in terms of spatial distribution, every area requires a particular program corresponding to its specific conditions. In this way, before doing everything we need to identify the past and present situation of different regions based on appropriate scientific methods. The inequality between urban and rural areas is mostly originated from the insufficient knowledge of policies applied in these areas as well as policies taken to evaluate the impact of programs on different economic variables including employment. In this article we are trying to recognize deprived and non-deprived areas to help us study current status of employment in rural areas and making a relative balance between all parts of the country. In fact we are going to find the answers to the questions that: What are some comparative advantages of economic activity in rural areas? What is Gini coefficient of economic activities in rural areas than in the country? According to the comparative advantages of employment in the major occupational groups, how can we put different provinces in order?
Methodology
The aim of this article is to examine comparative advantages of rural areas in different provinces for every major economic area and evaluating the amount of regional balance in every economic section. This is an applied study accomplished by the use of descriptive- analytical method. Required data has been taken from the census of 1385 and 1390 in Statistical Center of Iran. Along with data processing and classification, employment status of major occupational groups in rural areas has been accounted using Lorenz curve and the Gini coefficient through Excel software. Moreover, geographical maps of comparative advantage of a variety of major occupational groups were drawn in ARC GIS software. Finally, rural population of different provinces was ranked based on different groups of economic activities, through the models of Standard factor, Topsis, factor analysis and clustering. The followings major occupational groups have been selected as Indicators for determining comparative advantage and regional balance to calculate the amount of employment in the provinces and rural areas.
Discussion and conclusion
We have selected 85 and 90 series as samples for the spatial analysis of the employment status in rural areas. Then, we have tried some working indicators on this group and analyzed its results. Results include some spatial patterns of working indicators in rural areas of Iran. In other words, it shows that almost in all major occupational parts of the country, there is no regional balance in the distribution of working population in rural areas: This type of inequality is more observable in the two sections of "Hospitality and catering" and "Real estate, renting and business activities "."Agriculture" is the only section containing comparative balance within different provinces.
Comparing Gini coefficient of rural population to the total number of employers of different provinces in major occupational groups, it is understood that this indicator exceeds its total number in rural areas and it's still increasing. Only in "agriculture" sector of rural areas Gini coefficient is less than its total which implies giving less attention to rural areas of the country and poor investment in rural areas comparing to the rate of investment in the entire provinces over the recent years.
Studying comparative advantages of different provinces in major occupational groups in rural population reveals the fact that there is a relatively observable advantage in 8 parts of Tehran province. After Tehran, there are the two provinces of Mazandaran and Kermanshah in 5 and 4 parts, respectively, and then Yazd, Booshehr, and Kohgilouye and Boyer-Ahmed in 3 parts of highly comparative advantages.
Among the entire provinces, Tehran and Booshehr contains the least amount of comparative advantage of employment only in "agriculture" sector.
Some provinces including Kerman in all its occupational groups, Sistan- Baloochestan in 8 parts, Kordestan in 5 parts, and Lorestan in 4 major occupational parts are among the deprived provinces in terms of job creation in major occupational groups.
Based on the results of the study, despite of lots of experimental and theoretical studies on geographical distribution of unemployment and regional employment which have been recently doing by researchers, there is still some regional inequalities. It can be deduced that Gini coefficient in rural areas has been rising from 1385 to 1390. In fact, regional differences of job creation are increasing in rural areas. Studying comparative advantages of major occupational groups in rural district of Tehran, Booshehr, Yazd, Esfahan, Khorasan-Razavi, Fars, Mazandaran, and Gilan shows observable comparative advantage of employment in these areas. Although, there is an inappropriate condition of employment in some provinces including Sistan-Baloochestan, Hormozgan, and Kohgilouye Boyer-Ahmed.
We have selected 85 and 90 series as samples for the spatial analysis of the employment status in rural areas. Then, we have tried some working indicators on this group and analyzed its results. Results include some spatial patterns of working indicators in rural areas of Iran. In other words, it shows that almost in all major occupational parts of the country, there is no regional balance in the distribution of working population in rural areas: This type of inequality is more observable in the two sections of "Hospitality and catering" and "Real estate, renting and business activities "."Agriculture" is the only section containing comparative balance within different provinces.
Comparing Gini coefficient of rural population to the total number of employers of different provinces in major occupational groups, it is understood that this indicator exceeds its total number in rural areas and it's still increasing. Only in "agriculture" sector of rural areas Gini coefficient is less than its total which implies giving less attention to rural areas of the country and poor investment in rural areas comparing to the rate of investment in the entire provinces over the recent years.
Studying comparative advantages of different provinces in major occupational groups in rural population reveals the fact that there is a relatively observable advantage in 8 parts of Tehran province. After Tehran, there are the two provinces of Mazandaran and Kermanshah in 5 and 4 parts, respectively, and then Yazd, Booshehr, and Kohgilouye and Boyer-Ahmed in 3 parts of highly comparative advantages.
Among the entire provinces, Tehran and Booshehr contains the least amount of comparative advantage of employment only in "agriculture" sector.
Some provinces including Kerman in all its occupational groups, Sistan- Baloochestan in 8 parts, Kordestan in 5 parts, and Lorestan in 4 major occupational parts are among the deprived provinces in terms of job creation in major occupational groups.
Based on the results of the study, despite of lots of experimental and theoretical studies on geographical distribution of unemployment and regional employment which have been recently doing by researchers, there is still some regional inequalities. It can be deduced that Gini coefficient in rural areas has been rising from 1385 to 1390. In fact, regional differences of job creation are increasing in rural areas. Studying comparative advantages of major occupational groups in rural district of Tehran, Booshehr, Yazd, Esfahan, Khorasan-Razavi, Fars, Mazandaran, and Gilan shows observable comparative advantage of employment in these areas. Although, there is an inappropriate condition of employment in some provinces including Sistan-Baloochestan, Hormozgan, and Kohgilouye Boyer-Ahmed.
Ali Akbar Anabestani, Elahe Enzayi, Sedigheh Behzadi,
Volume 5, Issue 16 (summer 2016 2016)
Volume 5, Issue 16 (summer 2016 2016)
Abstract
Introduction
In the past half century, major changes have occurred in the appearance of villages of the country. Most of these changes were related to residential architecture. New cultural plan aims at providing a new look at cultural issues in rural communities, fighting against social deprivation, fighting against nihilism in geographical perspectives, providing the opportunity to develop local identity, supporting native culture, making rural empowerment through the participation of rural people, democratic supporting of cultural policies and better understanding of people. In some cases, cultural transformation, has led to differences in the formation of architectural elements and components. Hence, such changes will be usually followed by other changes in construction manner and its pattern. This effect is such that, in many cases, urban architecture patterns, especially patterns of marginalization in towns with no architectural value, are replaced instead of rural traditional buildings which seems to have lost their former functions.
In recent decades, the process of changes in the face of villages in Mazandaran have accelerated so that it has drastically changed the overall appearance of villages and rural housing. In this article, we have tried to reflect the relationship between social environment and rural architecture. We have also examined the impact of cultural and social changes on the body of the village, especially on rural housing in the study area, the County of Neka. In addition, we have determined spatial distribution of this communication in the villages under study.
In recent decades, the process of changes in the face of villages in Mazandaran have accelerated so that it has drastically changed the overall appearance of villages and rural housing. In this article, we have tried to reflect the relationship between social environment and rural architecture. We have also examined the impact of cultural and social changes on the body of the village, especially on rural housing in the study area, the County of Neka. In addition, we have determined spatial distribution of this communication in the villages under study.
Methodology
The research method of this study is descriptive-correlational. The present study was conducted using survey method and questionnaires. Neka County, with a population of 58601 people, consists of 105 inhabited villages (Statistical Center of Iran, 1390). Statistical Society of the research includes 91 village with the total population of 57769 people. This number includes all villages of more than 20 households in the County of Neka. Cochran sampling method, with 95% confidence level and error probability of 5/5% based on the proportion of the population of each village, was used for calculating sample size among rural households. Finally, 10 villages, consisting of 1653 households, have been investigated. To assess the effects of socio-cultural changes on the pattern of housing in the village a number of 256 of the villagers (householders) were investigated by the use of simple random sampling method.
Discussion and conclusion
Housing is a cultural concept. To examine rural housing, besides studies done on physical and structural space, new studies are needed to examine social and cultural characteristics of villages and changes in social and cultural indicators of villages. Results from surveys done among villagers and measuring of the relations using Pearson's correlation coefficient suggest a relatively significant correlation, with the coefficient of 0.658, between socio-cultural changes and patterns of rural housing. After examining the impact of socio-cultural changes of rural life on rural housing model, it was discovered that 58.6 percentage of changes in housing patterns is determined by an independent variable. On the other hand, most changes in dependent variable are explained by the index of cultural acceptance with the positive impact of 8/66 percent: In rural communities, fear from social anomalies as an indicator has a negative impact on rural housing pattern.
Analysis showed that the index of tendency to consumerism has affected four indicators of rural housing and its greatest effects was reported to be of the coefficients of 0.34 and 0.29, respectively for satisfaction and architectural plan of rural housing. So, sociocultural changes have had a fairly significant impact on the pattern of rural housing that can confirm the hypothesis of the research. The best proposed strategies to make positive cultural and social changes in rural life and the influence of such changes on rural housing pattern and getting more success in the area of housing include:
- Giving attention to cultural needs and social structure of villages in the design of rural housing
- Identifying the function of each component of rural housing and its proper conformity with villagers' current needs
- Paying attention to the welfare of the villagers in rural settlements and using urban housing patterns in accordance with rural culture and environment;
- Paying attention to geographical and climatic characteristics of villages, in addition to updating and creating prosperity of rural housing, to help us prevent natural disasters.
Housing is a cultural concept. To examine rural housing, besides studies done on physical and structural space, new studies are needed to examine social and cultural characteristics of villages and changes in social and cultural indicators of villages. Results from surveys done among villagers and measuring of the relations using Pearson's correlation coefficient suggest a relatively significant correlation, with the coefficient of 0.658, between socio-cultural changes and patterns of rural housing. After examining the impact of socio-cultural changes of rural life on rural housing model, it was discovered that 58.6 percentage of changes in housing patterns is determined by an independent variable. On the other hand, most changes in dependent variable are explained by the index of cultural acceptance with the positive impact of 8/66 percent: In rural communities, fear from social anomalies as an indicator has a negative impact on rural housing pattern.
Analysis showed that the index of tendency to consumerism has affected four indicators of rural housing and its greatest effects was reported to be of the coefficients of 0.34 and 0.29, respectively for satisfaction and architectural plan of rural housing. So, sociocultural changes have had a fairly significant impact on the pattern of rural housing that can confirm the hypothesis of the research. The best proposed strategies to make positive cultural and social changes in rural life and the influence of such changes on rural housing pattern and getting more success in the area of housing include:
- Giving attention to cultural needs and social structure of villages in the design of rural housing
- Identifying the function of each component of rural housing and its proper conformity with villagers' current needs
- Paying attention to the welfare of the villagers in rural settlements and using urban housing patterns in accordance with rural culture and environment;
- Paying attention to geographical and climatic characteristics of villages, in addition to updating and creating prosperity of rural housing, to help us prevent natural disasters.
Aliakbar Anabestani, Alireza Moieni, Amin Fa'al Jalali,
Volume 10, Issue 35 (Spring 2021 2021)
Volume 10, Issue 35 (Spring 2021 2021)
Abstract
Introduction
Understanding the spatial distribution of job creation credits in rural areas of the country and planning based on is a way for the economic development of rural, which will result in the prosperity of the country's economy. Therefore, it is essential to know how the spatial distribution of rural employment credits in different areas for planning and informed intervention in this field. Furthermore, the study of the spatial distribution process of allocating job creation credits leads to identifying areas with poor performance in this regard. This recognition means that in the redistribution of capital resources, it is necessary to have a larger share of public payments to the weaker areas and changes in the spatial distribution of credit allocation activities to develop employment in these areas, in which case the comparative benefits of these areas increases and investors become more willing to invest in them. In this regard, determining the spatial distribution of credits and the process of job creation of sectors and major groups of economic activities and their spatial distribution in rural areas of Khorasan Razavi province is the purpose of this study. According to the above, the main goal of the research is to identify the privileged and underprivileged areas based on the distribution of credits related to employment to create a relative balance between different regions of the province. Despite being industrial and having employment opportunities, Khorasan Razavi province has many problems and anomalies regarding fair distribution. Interfering factors in the unequal spatial distribution of employment development facilities have led to increased migration flows, unbalanced economic facilities, spatial and welfare inequalities, and increased development gaps between rural areas. Therefore, learning the spatial distribution of job creation and distribution of credits is very important in providing spatial justice in distributing these indicators. Therefore, the main research question is the study of the spatial distribution of rural entrepreneurship credits in the rural areas of the cities of Khorasan Razavi province in 13 job fields?
Research Methods
The present study is descriptive-analytical, at the level of Khorasan Razavi province and by city. The required information is from the data of the General Department of Cooperatives, Labor and Social Welfare of Khorasan Razavi Province, which to register and receive loans for entrepreneurial credits in thirteen main fields of energy, recycling, product packaging, ecotourism, livestock and agriculture, clothing, health, Saffron and medicinal herbs, rural services, handicrafts, greenhouse products, tourism and ecotourism, and information technology. First, while examining the spatial distribution of rural entrepreneurship facilities and credits in different fields in the cities of Khorasan Razavi province in 1998, we used GIS software to show how the spatial distribution of employment loans in the province's cities. Next, using the MABAC method, the distribution of loans received by the villagers was ranked. Later, using the obtained data identified the most important areas of business paid grants in the province's cities. Then the amount of paid grants in each area and separately in the province's cities were determined.
Discussion and Conclusion
The concentration of economic factors in a region plays an essential role in the formation of regional inequalities. Regional balances in the distribution of job creation opportunities enable government officials to make favorable decisions for the productivity and development of regions, and this contributes to regional economic growth. Therefore, although the geographical distribution of regional employment facilities has been the focus of empirical and theoretical studies of some researchers, the existence of regional inequalities in economic functions, primarily regional employment conditions, is an important issue. It is always the concern of national and regional policymakers. The results of studies in each of the subdivisions of the distribution of job creations credits showed that the most credits allocated in each field in different cities are as follows: energy in Binaloud and Kalat, recycling, rural services, and clothing in Sabzevar, Packaging in Khalil Abad, ecotourism in Chenaran, livestock and agriculture in Quchan, health in Joghatay, saffron, medicinal herbs, and greenhouse products in Mashhad, handicrafts in Kalat, tourism and ecotourism in Torbat-e Jam, and information technology in Zaveh. Based on the results of this research and the analysis performed in the MABAC model, the highest amount of loans and occupation facilities was allocated to Mashhad city with 9 billion and 610 million Tomans and the lowest to Davarzan with 655 million Tomans. Therefore, we can say that Mashhad city, as the center of the province and rural areas around this metro, has the possibility of doing more activities, so they have the largest amount of loans and credits received. These conditions indicate that there is inequality between the province's cities in terms of the amounts allocated in loans and credits. In addition, the results of previous studies such as Bakhtiari (2002), Misri Nejad and Turki (2004), and Barghi et al. (2011) show that economic and business variables are unequally distributed at the regional level. This form of distribution affects the incidence of regional inequalities. Accumulation of capital and financial resources leads to the growth of labor, employment, and foreign direct investment, creating a competitive market structure, improving human capital, creating institutional changes, improving infrastructure, increasing savings rates, initial productivity, and so on.
Understanding the spatial distribution of job creation credits in rural areas of the country and planning based on is a way for the economic development of rural, which will result in the prosperity of the country's economy. Therefore, it is essential to know how the spatial distribution of rural employment credits in different areas for planning and informed intervention in this field. Furthermore, the study of the spatial distribution process of allocating job creation credits leads to identifying areas with poor performance in this regard. This recognition means that in the redistribution of capital resources, it is necessary to have a larger share of public payments to the weaker areas and changes in the spatial distribution of credit allocation activities to develop employment in these areas, in which case the comparative benefits of these areas increases and investors become more willing to invest in them. In this regard, determining the spatial distribution of credits and the process of job creation of sectors and major groups of economic activities and their spatial distribution in rural areas of Khorasan Razavi province is the purpose of this study. According to the above, the main goal of the research is to identify the privileged and underprivileged areas based on the distribution of credits related to employment to create a relative balance between different regions of the province. Despite being industrial and having employment opportunities, Khorasan Razavi province has many problems and anomalies regarding fair distribution. Interfering factors in the unequal spatial distribution of employment development facilities have led to increased migration flows, unbalanced economic facilities, spatial and welfare inequalities, and increased development gaps between rural areas. Therefore, learning the spatial distribution of job creation and distribution of credits is very important in providing spatial justice in distributing these indicators. Therefore, the main research question is the study of the spatial distribution of rural entrepreneurship credits in the rural areas of the cities of Khorasan Razavi province in 13 job fields?
Research Methods
The present study is descriptive-analytical, at the level of Khorasan Razavi province and by city. The required information is from the data of the General Department of Cooperatives, Labor and Social Welfare of Khorasan Razavi Province, which to register and receive loans for entrepreneurial credits in thirteen main fields of energy, recycling, product packaging, ecotourism, livestock and agriculture, clothing, health, Saffron and medicinal herbs, rural services, handicrafts, greenhouse products, tourism and ecotourism, and information technology. First, while examining the spatial distribution of rural entrepreneurship facilities and credits in different fields in the cities of Khorasan Razavi province in 1998, we used GIS software to show how the spatial distribution of employment loans in the province's cities. Next, using the MABAC method, the distribution of loans received by the villagers was ranked. Later, using the obtained data identified the most important areas of business paid grants in the province's cities. Then the amount of paid grants in each area and separately in the province's cities were determined.
Discussion and Conclusion
The concentration of economic factors in a region plays an essential role in the formation of regional inequalities. Regional balances in the distribution of job creation opportunities enable government officials to make favorable decisions for the productivity and development of regions, and this contributes to regional economic growth. Therefore, although the geographical distribution of regional employment facilities has been the focus of empirical and theoretical studies of some researchers, the existence of regional inequalities in economic functions, primarily regional employment conditions, is an important issue. It is always the concern of national and regional policymakers. The results of studies in each of the subdivisions of the distribution of job creations credits showed that the most credits allocated in each field in different cities are as follows: energy in Binaloud and Kalat, recycling, rural services, and clothing in Sabzevar, Packaging in Khalil Abad, ecotourism in Chenaran, livestock and agriculture in Quchan, health in Joghatay, saffron, medicinal herbs, and greenhouse products in Mashhad, handicrafts in Kalat, tourism and ecotourism in Torbat-e Jam, and information technology in Zaveh. Based on the results of this research and the analysis performed in the MABAC model, the highest amount of loans and occupation facilities was allocated to Mashhad city with 9 billion and 610 million Tomans and the lowest to Davarzan with 655 million Tomans. Therefore, we can say that Mashhad city, as the center of the province and rural areas around this metro, has the possibility of doing more activities, so they have the largest amount of loans and credits received. These conditions indicate that there is inequality between the province's cities in terms of the amounts allocated in loans and credits. In addition, the results of previous studies such as Bakhtiari (2002), Misri Nejad and Turki (2004), and Barghi et al. (2011) show that economic and business variables are unequally distributed at the regional level. This form of distribution affects the incidence of regional inequalities. Accumulation of capital and financial resources leads to the growth of labor, employment, and foreign direct investment, creating a competitive market structure, improving human capital, creating institutional changes, improving infrastructure, increasing savings rates, initial productivity, and so on.
Aliakbar Anabestani, Farokh Legha Bahadori Amjaz, Jamileh Tavakolinia,
Volume 11, Issue 39 (Spring 2022 2022)
Volume 11, Issue 39 (Spring 2022 2022)
Abstract
Introduction
Smart growth is one of the regional planning strategies that aims to create regional balance and prevent degradation in line with the goals of sustainable development, which seeks to create and promote social equality, a sense of spatial and social belonging and preservation of natural resources alongside cultural resources. It also has significant benefits for rural communities through preserving their history and identity, making rural settlements more pleasant and livable, sustainable economic development, creating diverse and more affordable housing options and preserving ecological sustainability. It can be argued that the challenges a rural area is facing even if sometimes similar, can never be the same in different countries. Rural areas or villages need a specific growth that improves people's lives. This is because rural development is essential to accelerate the overall development of any country. However, the unplanned growth of the rural population, unplanned physical development of rural settlements and the improper use of the rural environment have created a situation which calls for the special need for planning in rural areas. A review of the statistics of involuntary rural migration and the problems that migrants create in destinations show the consequences of neglecting the villages, which are the main challenges facing managers and planners. Therefore, paying attention to rural development and sustainability requires more serious and systematic research. One of the proposed strategies in the field of rural sustainability is the smart growth strategy, which is in the form of sustainable development theory. Therefore, it seems that the smart growth approach can provide a way out of instability and achieve sustainable development in rural areas. in addition to identifying the indicators of smart growth and determining the effect and relationships between them, the purpose of this study is the spatial analysis of factors affecting the formation of smart growth in rural settlements of Jiroft.
Methodology
This research is an applied and descriptive-analytical study. we used documentary and library methods for theoretical framework and to investigate the factors affecting the formation of smart growth in rural settlements, field study and the questionnaire were used. The statistical population of the present study consists of two groups. According to the assumption that smart growth infrastructure is probable in large villages, we selected over 1000 people villages as the experimental group villages. Also, in this study, cluster sampling method (multi-stage) was used. For this purpose, in the first stage, among 4 districts of Jiroft County and 14 rural districts of this county, according to the 2016 census, 11 rural districts were selected as a cluster sample. According to the 2016 census, this city has 30 villages with a population of more than 1000 people (Jabal Barez 2 villages, Markazi 21 villages, Ismaili 7 villages). To determine the sample size of villages, Cochran's formula was applied. In this formula, to take advantage of 95% confidence level, accuracy coefficient of 0.05 and variance = 0.15 d2, the sample size of 18 villages has been determined. Among rural households, according to Cochran's formula, 261 households were selected as a sample and were randomly interviewed.
Discussion and conclusion
The extent smart growth and sustainable development affect all members of society from the lowest to the highest level. Therefore, improving the status of smart growth indicators can provide the basis for sustainable rural development. We examined different sources as well as the characteristics of the study area and ended up with seven components of local economy stability, environmental quality improvement, density and intensive development, housing quality improvement, transportation and communication, local community stability, and physical texture improvement. From the perspective of rural respondents, the indicators of rural smart growth, transportation and communication and physical texture improvement, respectively, were the most important indicators of rural smart growth. From the experts point of view, based on a pairwise comparison of components, the components of local economy stability, transportation and communications, housing quality improvement, environmental quality improvement with weights of 0.303, 0.204, 0.132 and 0.126, respectively, were the most important factors affecting smart growth. Also, the components of density and intensive development, improvement of physical texture and stability of the local community with weights of 0.065, 0.081 and 0.089, respectively, are the less important factors. Finally, for spatial analysis of smart growth indices, the combined weighting method of AHP and COCOSO were used. Narjo and Sogdar have the lowest rank in terms of intelligent growth indicators. The research findings are in line with the results of other researchers. For instance, Tregear & Cooper 2016 believes that smart growth can help by making rural settlements more livable, sustainable economic development, creating diverse and affordable housing options, and maintaining ecological, social, economic, and physical sustainability, resulting in significant benefits for rural communities.
Smart growth is one of the regional planning strategies that aims to create regional balance and prevent degradation in line with the goals of sustainable development, which seeks to create and promote social equality, a sense of spatial and social belonging and preservation of natural resources alongside cultural resources. It also has significant benefits for rural communities through preserving their history and identity, making rural settlements more pleasant and livable, sustainable economic development, creating diverse and more affordable housing options and preserving ecological sustainability. It can be argued that the challenges a rural area is facing even if sometimes similar, can never be the same in different countries. Rural areas or villages need a specific growth that improves people's lives. This is because rural development is essential to accelerate the overall development of any country. However, the unplanned growth of the rural population, unplanned physical development of rural settlements and the improper use of the rural environment have created a situation which calls for the special need for planning in rural areas. A review of the statistics of involuntary rural migration and the problems that migrants create in destinations show the consequences of neglecting the villages, which are the main challenges facing managers and planners. Therefore, paying attention to rural development and sustainability requires more serious and systematic research. One of the proposed strategies in the field of rural sustainability is the smart growth strategy, which is in the form of sustainable development theory. Therefore, it seems that the smart growth approach can provide a way out of instability and achieve sustainable development in rural areas. in addition to identifying the indicators of smart growth and determining the effect and relationships between them, the purpose of this study is the spatial analysis of factors affecting the formation of smart growth in rural settlements of Jiroft.
Methodology
This research is an applied and descriptive-analytical study. we used documentary and library methods for theoretical framework and to investigate the factors affecting the formation of smart growth in rural settlements, field study and the questionnaire were used. The statistical population of the present study consists of two groups. According to the assumption that smart growth infrastructure is probable in large villages, we selected over 1000 people villages as the experimental group villages. Also, in this study, cluster sampling method (multi-stage) was used. For this purpose, in the first stage, among 4 districts of Jiroft County and 14 rural districts of this county, according to the 2016 census, 11 rural districts were selected as a cluster sample. According to the 2016 census, this city has 30 villages with a population of more than 1000 people (Jabal Barez 2 villages, Markazi 21 villages, Ismaili 7 villages). To determine the sample size of villages, Cochran's formula was applied. In this formula, to take advantage of 95% confidence level, accuracy coefficient of 0.05 and variance = 0.15 d2, the sample size of 18 villages has been determined. Among rural households, according to Cochran's formula, 261 households were selected as a sample and were randomly interviewed.
Discussion and conclusion
The extent smart growth and sustainable development affect all members of society from the lowest to the highest level. Therefore, improving the status of smart growth indicators can provide the basis for sustainable rural development. We examined different sources as well as the characteristics of the study area and ended up with seven components of local economy stability, environmental quality improvement, density and intensive development, housing quality improvement, transportation and communication, local community stability, and physical texture improvement. From the perspective of rural respondents, the indicators of rural smart growth, transportation and communication and physical texture improvement, respectively, were the most important indicators of rural smart growth. From the experts point of view, based on a pairwise comparison of components, the components of local economy stability, transportation and communications, housing quality improvement, environmental quality improvement with weights of 0.303, 0.204, 0.132 and 0.126, respectively, were the most important factors affecting smart growth. Also, the components of density and intensive development, improvement of physical texture and stability of the local community with weights of 0.065, 0.081 and 0.089, respectively, are the less important factors. Finally, for spatial analysis of smart growth indices, the combined weighting method of AHP and COCOSO were used. Narjo and Sogdar have the lowest rank in terms of intelligent growth indicators. The research findings are in line with the results of other researchers. For instance, Tregear & Cooper 2016 believes that smart growth can help by making rural settlements more livable, sustainable economic development, creating diverse and affordable housing options, and maintaining ecological, social, economic, and physical sustainability, resulting in significant benefits for rural communities.
Aliakbar Anabestani, Sirous Ghanbari, Habib Lotfi,
Volume 12, Issue 43 (Spring 2023 2023)
Volume 12, Issue 43 (Spring 2023 2023)
Abstract
Introduction
Iran has successfully leveraged knowledge and technology with the Islamic economic system to cultivate a prosperous rural economy. This economy encompasses a wide range of activities at the village level, all aimed at supporting rural residents' livelihoods and material well-being. It encompasses both individual and social activities within the rural environment and has yielded impressive results. The rural economy is interdependent with agriculture and is a component of the national economy. Any changes in the national economy will affect the rural economy. This economy level depends on environmental and economic resources, which aligns with the principles of resilient economic policies.
In this regard, Jiroft Plain, located in the western region of Jazmourian, with Halil-Rood passing through its center, encompasses more than 1400 villages. The rural economy in Jiroft and Anbarabad counties primarily relies on livestock farming and agriculture. Economic reconstruction and transformation are taking place in all sectors of the world, and the villages of Jiroft Plain also need to manage and update their economic activities to keep up with global and national developments. Traditional activities are not sufficient to meet the needs of the younger generation. Therefore, the present research aims to analyze the economic situation of villages in terms of resilient economic indicators within the study area and seeks to answer the following question: How is the economic situation of villages in Jiroft Plain in terms of resilient economic indicators? Moreover, what effects do resilient economic indicators have on the rural economy?
Methodology
The present study employed a descriptive-analytical method to provide a concrete, realistic, and systematic description of the characteristics and features of the studied villages in the Halil-Rud geographical-cultural area and Jiroft plain. Both library research methods and field research methods were utilized to gather information. The geographical scope of this research includes the cities of Jiroft and Anbarabad in Kerman Province. Considering the large number of villages in these two cities, as recognized by experts and professionals in this field, the sample villages were selected as the centers of rural districts. Therefore, the statistical population consists of household heads in the central villages of the rural districts, which according to the 2016 census conducted by the Statistical Center of Iran, have a population of approximately 41,289 individuals and 12,165 households, encompassing around 21 villages. Based on Cochran's formula, a sample size of 314 households was selected for the research and used for data collection. A systematic sampling method was employed to select households in each village.
Furthermore, a questionnaire was developed to examine the rural economy in detail from the perspective of resilience indicators, covering 11 different indicators and components. This questionnaire was administered to the sample population, and after completing 30 questionnaires, the reliability of the questionnaire was determined with a Cronbach's alpha coefficient of 0.780, indicating high reliability. Additionally, data analysis was conducted using Kruskal-Wallis, one-sample t-test, and regression analysis.
Discussion and conclusion
The research results regarding the status of resilience indicators with a rural economic approach revealed that the economic mobility and dynamism indicators scored 12.01, while social justice scored 3.31, indicating a moderate to high level. Other resilience indicators in the study area were estimated to be below the desirable numerical value of 3, indicating a moderate to low status. Furthermore, among the sample villages, Aliabad ranked first with an average rank of 253, followed by Dovlatabad with an average rank of 210, Hossainabad Dehdar with an average rank of 205, and Ismaili Sofla with an average rank of 179. This finding indicates that villages with a larger population and diverse economies tend to have higher resilience indicators. Based on this, over 52% of the villages in the study area do not have a desirable status in terms of the examined indicators, while only over 16% are in a desirable state.
The rural community's ability to withstand and recover from challenges has been achieved through various means. These include economic growth, increased production in agriculture, industry, and services, ensuring fair distribution of services to rural residents, creating more job opportunities, controlling inflation, improving welfare, supporting a knowledge-based economy, paying attention to scientific aspects of rural economics, engaging educated individuals in rural affairs, encouraging participation in village-related matters and meetings, providing a platform for criticism and suggestions to Islamic councils, cooperating with officials, improving access to basic services for all residents, increasing migration rates, and more. All these measures contribute to the sustainability of the rural economy, including employment, investment, productivity, income, and other production factors in the study area.
Iran has successfully leveraged knowledge and technology with the Islamic economic system to cultivate a prosperous rural economy. This economy encompasses a wide range of activities at the village level, all aimed at supporting rural residents' livelihoods and material well-being. It encompasses both individual and social activities within the rural environment and has yielded impressive results. The rural economy is interdependent with agriculture and is a component of the national economy. Any changes in the national economy will affect the rural economy. This economy level depends on environmental and economic resources, which aligns with the principles of resilient economic policies.
In this regard, Jiroft Plain, located in the western region of Jazmourian, with Halil-Rood passing through its center, encompasses more than 1400 villages. The rural economy in Jiroft and Anbarabad counties primarily relies on livestock farming and agriculture. Economic reconstruction and transformation are taking place in all sectors of the world, and the villages of Jiroft Plain also need to manage and update their economic activities to keep up with global and national developments. Traditional activities are not sufficient to meet the needs of the younger generation. Therefore, the present research aims to analyze the economic situation of villages in terms of resilient economic indicators within the study area and seeks to answer the following question: How is the economic situation of villages in Jiroft Plain in terms of resilient economic indicators? Moreover, what effects do resilient economic indicators have on the rural economy?
Methodology
The present study employed a descriptive-analytical method to provide a concrete, realistic, and systematic description of the characteristics and features of the studied villages in the Halil-Rud geographical-cultural area and Jiroft plain. Both library research methods and field research methods were utilized to gather information. The geographical scope of this research includes the cities of Jiroft and Anbarabad in Kerman Province. Considering the large number of villages in these two cities, as recognized by experts and professionals in this field, the sample villages were selected as the centers of rural districts. Therefore, the statistical population consists of household heads in the central villages of the rural districts, which according to the 2016 census conducted by the Statistical Center of Iran, have a population of approximately 41,289 individuals and 12,165 households, encompassing around 21 villages. Based on Cochran's formula, a sample size of 314 households was selected for the research and used for data collection. A systematic sampling method was employed to select households in each village.
Furthermore, a questionnaire was developed to examine the rural economy in detail from the perspective of resilience indicators, covering 11 different indicators and components. This questionnaire was administered to the sample population, and after completing 30 questionnaires, the reliability of the questionnaire was determined with a Cronbach's alpha coefficient of 0.780, indicating high reliability. Additionally, data analysis was conducted using Kruskal-Wallis, one-sample t-test, and regression analysis.
Discussion and conclusion
The research results regarding the status of resilience indicators with a rural economic approach revealed that the economic mobility and dynamism indicators scored 12.01, while social justice scored 3.31, indicating a moderate to high level. Other resilience indicators in the study area were estimated to be below the desirable numerical value of 3, indicating a moderate to low status. Furthermore, among the sample villages, Aliabad ranked first with an average rank of 253, followed by Dovlatabad with an average rank of 210, Hossainabad Dehdar with an average rank of 205, and Ismaili Sofla with an average rank of 179. This finding indicates that villages with a larger population and diverse economies tend to have higher resilience indicators. Based on this, over 52% of the villages in the study area do not have a desirable status in terms of the examined indicators, while only over 16% are in a desirable state.
The rural community's ability to withstand and recover from challenges has been achieved through various means. These include economic growth, increased production in agriculture, industry, and services, ensuring fair distribution of services to rural residents, creating more job opportunities, controlling inflation, improving welfare, supporting a knowledge-based economy, paying attention to scientific aspects of rural economics, engaging educated individuals in rural affairs, encouraging participation in village-related matters and meetings, providing a platform for criticism and suggestions to Islamic councils, cooperating with officials, improving access to basic services for all residents, increasing migration rates, and more. All these measures contribute to the sustainability of the rural economy, including employment, investment, productivity, income, and other production factors in the study area.
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