Economy

Spatial distributions of rural settlements in Iran represent an imbalanced nature. The major objective of this study is to investigate the spatial patterns of Iranian rural settlements using certain indicators and indices .It further tries to propose a model regarding the analysis of spatial imbalances. This study further supported by application of modifiable areal unit problem(MAUP) suitable for aggregated data. It consists of both general as well as local scale pertaining to aggregation problem. Chosen area for the purpose of combination represent an arbitrary nature .However; areal units can be meaningful in displaying the same base level data. For the purpose of modeling and selection of basic unit, the hexagonal model long associated with geography is used. The spatial statistical methods were the global measure of Moran's I and Local Indicators of Spatial Association(LISA). While Moran's I provides information on the overall spatial distribution of the data, LISA provides information on types of spatial association at the local level. LISA statistics can also be used to identify influential locations in spatial association analysis. Spatial analysis can identify imbalances with respect to settlement distribution. This study suggests that different indices will hold different results regarding spatial rural imbalances.

 Introduction
The concept of livability is complex and includes various aspects of life. In general, livability is all the components that are the basis of creating a high quality settlement increase the rate of livability and the level of satisfaction of rural residents. These components appear in different dimensions: environmental-ecological, socio-cultural, economic, institutional-managerial and physical. Economic dimension is not the only factor affecting livability, but it is the significant one in the opinion of rural residents.
The villages around the metropolis of Rasht, like other villages in the country, are facing with various problems., If a place is economically improved, it is more suitable for living. Increasing the economic level Especially for young people will create satisfaction and prosperity in the society, increase the motivation of the residents to stay in the village environment and prevent the migration of the villagers, by investigating this issue, more appropriate planning can be done in the village environment to achieve the desired quality of life. The purpose of the current research is to analyze the economic livability of rural settlements around the metropolis of Rasht.  The study identifies economic indicators that are effective in livability and evaluates them in order to answer these questions: what are the economic indicators affecting livability? which villages are the most economically livable village in the study are?

 Methodology
The research in terms of purpose is applied study and in terms of methodology is descriptive-analytical. The required information is collected from documents and a field study. The required data are collected by interviewing and a questionnaire from head of household and village managers. The components and items in the questionnaire were extracted from the literature and field studies.37 rural settlements around metropolis of Rasht were statistical population. 516 head of household and 37 rural managers were statistical samples. The number of household head has been estimated based on the total number of households in the study area and using the Cochran formula. The validity of the questionnaire was approved by experts and specialists in rural studies. The reliability of questionnaires was assessed by Cronbach's alpha method. A number of questionnaires were completed randomly to pre-test in the study area and its reliability coefficient (0.837) was calculated which indicates the acceptable reliability. Excel and SPSS software were used in the descriptive statistics section. For inferential statistics, and the process of indexing, the livability scores were used for comparison and conclusion. One-sample t-test was used to prove the significance and generalizability of research results, and regression analysis to show the impact of the economic dimension on livability and for further analysis. The results of the studied villages were ranked according to the economic livability scores at five levels: very desirable, desirable, moderate, undesirable and very undesirable.

Discussion and conclusion
The economic dimension in livability consists of 4 components and 16 items. The components include employment and income, household expenses, land and housing value and tourism. Component of employment and income had 8 items including having a suitable job (in a village or adjacent town), the variety of available job opportunities in the village, job security and job satisfaction, satisfaction with family income, satisfaction with total family income, satisfaction with family saving and the existence of profitable investment. The component of the household expenses had 3 items including levels of satisfaction with household expenses, satisfaction with housing costs and satisfaction with shipping costs. The component of land and housing value had 3 items including the value of land in the village, the growth of the price of land and the growth of housing prices. The component of tourism had 2 items including the annual number of tourists and the income generated by the presence of tourists.
After identifying the effective components and items and the process of creating index, the economic livability scores of each of the studied villages were obtained. The value of land and housing with the score of 9.00 was the highest score and the tourism index with a score of 1.2 was the lowest score. Development of tourism was found an effective way to increase the level of economic livability in the studied villages. Also, considering the livability scores, Pirkolachai village has the highest score of 29.7 and Varazgah village has a lowest score of 94.3. Furthermore, the studied villages are classified according to their livability scores in five groups. According to this rating, Pirkolachai villages is very desirable, Talemseshanbe, Kassar, Alman, Balakkoyakh, Tuchipaibast, Roknsara, Lachegorab, Shalko are desirable, Dareposht, Foshtam, Keshalvarzal, Gilpordesar, Pesikhan, Pasvishe, Komakol, Piledarbon, Bijarbaneh, Pachkenar, Gorabvarzal are moderate, Roudbordeh, Kheshtmasjed, Tazeabad, Siaestalkh, Mangode, Garfam, Shekarestalkh, Kizhde, Karchovandan, Ravajir, Kisarvarzal are undesirable, and Varazgah, Koleshtaleshan, Tarazkouh, Bijarpas, Vishkavarzal, and Vishkamatir are very undesirable on the level of livability.
The present research is in line with the research of researchers such as Khorasani et al. (evaluating livability), Isalo et al. (analysis livability economic indicators), Jomepour and Tahmasebi (explanation of livability), Sasanpour et al. (identification of livability indexes), Khorasani, Rashidi et al., and Honarvarsedighian (livability measurement). Finally, according to the conducted research, we can find ways to improve the economic livability. The measurement of livability can lead to proper decisions in the field of rural policy and investment and sustainable consumption of resources, stimulate the participation of village residents and planning correctly which recognizes the capabilities of each region separately, improves the quality of management levels.
To this end, the study suggests the following actions:
Provide plans for investing in the village - many villagers tend to invest their little savings in the village, but they have not been able to take action because rural managers do not plan on this. The studied villages have a high potential for attracting capital because of the proximity to the Rasht metropolitan area. -
Create jobs in village and the follow up supports- creating job in the village increases the motivation to stay in rural areas. In many of the studied villages production united are available, but it is used by non-local labors, nevertheless many villagers work in the cities and other villages. Rural managers can obligate the job owners in the villages to hire local residents. In this case, part of their dissatisfaction about jobs and income will be reduced.
Plan to attract tourists – villagers can create activities in the village to attract tourists, and then with the necessary promotions and marketing, they will boost their village.
 

Introduction
The extensive experience of many countries shows that the success of development programs in rural areas has not been favorable due to some limitations, especially the lack of participation of the beneficiaries or the villagers. Since it is only the villagers who can effectively identify their perceived problems and needs, therefore their participation in the management process and planning of rural development and transformation - in all its stages - is essential. In this regard, local people can participate fully and effectively when they are organized and trained to make a united and continuous effort. Therefore, in this context, non-governmental organizations, as people-oriented and participatory institutions, are known to be the most important main means of achieving this goal, which can penetrate rural communities and involve villagers in the process of participatory and sustainable development. Therefore, since the late 1980s and especially in the 1990s, and with the introduction of the community-oriented approach, non-governmental organizations have received attention. Because the ability of local stakeholders in community-oriented development is a fundamental factor in enabling them to participate and influence the development and spatial developments have a special place. Therefore, it is necessary to make an effort to empower the villagers in order to reduce the negative consequences of their weak intervention in the process of development and spatial development. On this basis, to improve the organized participation of villagers in the framework of non-governmental organizations, it is necessary to develop planning and policies in order to invest in the improvement of the facilitators of the empowerment of villagers, such as; Education, awareness raising, trust and confidence, cohesion and solidarity, etc. should be placed in order to provide the necessary grounds for the formation of non-governmental organizations. In this framework, the analysis of the growth and expansion of non-governmental organizations in the spatial transformations of rural settlements, taking into account the improvement of empowerment indicators, is a new approach that has been addressed in this research.

 Methodology
In the present study, based on a descriptive-analytical method and based on a questionnaire, the relationship between rural empowerment facilitators in the formation of non-governmental organizations and the relationship between these organizations in The process of spatial transformation of rural settlements (in the form of 15 indicators) was measured at the level of 30 villages and 300 sample households in the villages of Javanrood township. The collected data were processed using SPSS software and using correlation test statistics, and univariate and multivariate regression.

Discussion and conclusion
Findings showed that there is a significant relationship between the improvement of empowerment indicators and the rate of formation and expansion of non-governmental organizations in the direction of the spatial transformation of rural settlements. But, this relationship has been decreasing-decreasing, which has revealed the inappropriate position of research variables in the study area. In other words, the implementation of empowerment methods due to the dominance of the "top-down" and "state-based" approach has not been able to create a sense of power and empowerment in the local stakeholders and their effective and organized participation in the framework of non-governmental organizations. The low level of participation of non-governmental organizations has caused failure in the spatial development of rural settlements in economic, social, physical and environmental-ecological dimensions. Therefore, it is necessary to pay attention to and improve the facilitation indicators of rural empowerment such as; Education and awareness, knowledge and skills, cohesion and solidarity, trust and confidence, participation, institutionalization and political support of the government, and changing the approach to "community-based" and "bottom-up", are a good ground for their participation with the aim of creating non-governmental organizations in the direction the spatial transformation of rural settlements.
 

 Introduction
Environmental hazards, such as earthquakes, in rural settlements cause irreparable damage. One of the most significant damages is economic damage. Recognizing and understanding the level of economic resilience, an aspect of resilience, can be considered with appropriate planning in reducing injuries and destructive effects of environmental hazards. Avaj County in Qazvin Province is an earthquake-prone area of the country, and the degree of vulnerability and destruction of the rural settlements of this county in the earthquakes has been very high. Considering that if a place is economically upgraded, it is more suitable for living and reduces the risks. Economic resilience is one of the most critical issues in rural planning. Increasing the level of economic resilience will create satisfaction and security in the society, motivation of the residents to stay in the village environment and prevent the migration of the villagers. Therefore, more appropriate planning can be done in the village environment for crisis management. This research aims to explain the economic resilience of rural settlements in Avaj County.

 Methodology
The required information has been collected from 100 villages of Avaj County in 5 districts. In order to collect information in the scope of the study, a questionnaire capable of collecting the required information was designed, and according to the size of the households (10293) and using Cochran’s formula with an error of 0.05%, the sample size of 370 households was determined. The number of samples in each village was determined using the proportional stratified method. In order to measure the validity (internal validity) of the questionnaire, the approval of experts and professors in the field of rural studies was taken, and to measure the reliability (external validity) of the questionnaires and ensure the accuracy and repeatability of the results, Cronbach’s alpha statistical test was used. The obtained coefficient (0.963) indicates the acceptable reliability of the questionnaire for conducting research. Excel and SPSS software were used for calculations, and GIS software was used for map drawing. In order to use the information in inferential statistics, indexing steps have been taken. After weighing and applying the weights by principal component analysis, resilience scores have been obtained for comparison and conclusion. The studied villages were ranked based on economic resilience scores in three levels: low, medium, and high. Single-sample T-test has been used to prove the significance and generalizability of research results and regression analysis to show the impact of the economic dimension on resilience.

Discussion and conclusion
In this research, to investigate and analyze economic resilience, the economic dimension, which is one of the four dimensions of resilience, has been discussed and investigated. In this dimension, three components and 16 items were identified. According to the findings, the use of loans and bank grants for renovation and improvement with an average of 3.69, the amount of use of government aid to the injured with an average of 3.64, economic status and quality of buildings with an average of 3.60, were the highest average respectively. On the other hand, items of the strength of the building structure with an average of 2.43, no disruptions in work activity in the event of an earthquake with an average of 2.82, the level of satisfaction with household savings to compensate for earthquake damages, 2.82 has had the most negligible impact on economic resilience at the level of the studied villages. Regarding the resilience scores, we found that Hesar Valiasr District has the highest score of 7.99, and Eastern Kharghan District has the lowest score of economic resilience with a score of 7.23. Considering the level of the economic situation, which is higher than the average with the one-sample T-test, and also the average of the components such as the employment status and income, which is at a relatively appropriate level, it seems that the villagers do not want to change the way of building. Instead, there is a desire for traditional-native architecture and the use of materials with low resistance. Regarding the present research results, the proposed solutions in the study area include using local trustees to encourage villagers to change building construction patterns and use high-quality and earthquake-resistant materials. Also, planning to use the economic potentials of the region in addition to the agriculture and livestock sectors such as tourism and industry to create a diversity of job opportunities and non-dependence on one job and source of income and having a second job can help and is a support strategy to return to the right conditions before the risk in case of danger and losing the first job.
 

Introduction
The declining trend of the rural economy, the spread of poverty, and unemployment show that, in practice, the vital development goals in rural areas have failed. The sustainability of the rural economy is a vital corridor to achieving national economic sustainability. Economic sustainability in rural areas means strengthening the foundations of the rural economy to economic security in terms of access to sustainable livelihoods, economic stability, beneficial employment, reliable financial resources and environmentally friendly technology using human resources. Today, it is necessary to pay attention to economic sustainability, considering the challenges facing developing countries. In the current situation, attention to economic sustainability becomes more necessary, given the challenges and bottlenecks that settlements face.
On the other hand, discovering, understanding, and recognizing spatial patterns leads to a better understanding of phenomena and their relationships, actions, and interactions at the space level. The analysis of the elements of geographical space facilitates the mutual understanding of the phenomena and helps to simplify and create order in a vague and complex reality. Based on objective facts, rural settlements in Langaroud County need better economic stability. This issue is evident in cases such as high unemployment, poverty, low agricultural production, etc. Accordingly, the sustainable development of the rural economy is considered a goal to solve the problems and issues of rural areas in the study area. Therefore, this study seeks to answer two questions: First, what spatial pattern does the economic sustainability of rural settlements in Langroud County follow? And second, what is the relationship between the geographical location of rural areas and their level of economic stability?

 Methodology
In terms of purpose, research is part of applied-developmental research. It is also descriptive-analytical in terms of analysis method. Research information was collected through field study and the use of the village questionnaire, and library-documentary studies. SPSS, GIS and Excel software have also been used to analyze the data. The study's statistical population is the Rural managers of more than 20 households in the city of Langroud, with 110 Rural managers in 7 villages, which has been done in total.

Discussion and conclusion
According to the research findings, in connection with the first purpose of the research (identifying the spatial pattern of economic sustainability of rural settlements in the study city), it was found that the spatial pattern of economic sustainability and its components (justice, stability, welfare), According to the results obtained from the general statistics of G, the statistics of general Moran and also the statistics of G, is random and one of the most important reasons is the randomness of the spatial pattern of the villages of the city, while in the research (2016) ), The spatial model of economic stability has been clustered; In his research, the spatial pattern of the villages was scattered, but the studied features formed a cluster, but in the present study, the spatial pattern of the villages was random, and the studied features were also random. The giver is that the studied villages have not been affected as much as possible by the surrounding villages. Concerning the second goal, namely the difference in geographical location and the level of economic stability of villages, studies have shown that sustainable villages are located in the plains of the city and as the natural and elevation position of villages goes to the foothills, Their economic stability is also reduced due to the recreational conditions of the mountain villages and the lack of easy access to the city, their dispersion, and the low population of these areas. Therefore, the research hypothesis related to the second question is confirmed that there is a difference between the natural and geographical location of villages and their level of economic stability. These results are consistent with the results of the research of Ghadiri Masoom et al. (2010), who concluded that the villages with the highest level of economic stability are located in the plains, like the current study that economically sustainable villages. There are villages located in the plains with large populations that are more extensive, have a natural location and good communication, and the level of job diversity is relatively higher in them.
According to the obtained results, it can be said that, in general, economic stability in the villages of Langroud county is at a weak level. The natural and communication situation of the villages is one of the most important factors that affect their level of economic stability; As the natural position of the villages moves towards the foothills, the level of economic stability decreases compared to other villages located in the plains. The results indicate that among the villages of Langroud county, the distribution of coefficients of economic stability components has been considerable. In other words, in each of the components of economic stability, several specific villages have the highest level of stability. Furthermore, economic stability in components has not occurred between common villages except in very few cases. In this regard, it can be acknowledged that despite some criteria as good economic stability. Other criteria, such as income level, job opportunities, and investments, are low. There were villages that, for example. The level of economic justice is high, and the level of economic stability is low. Therefore, the economic stability of villages has three components and various indicators that achieving the most desirable state requires the alignment and integration of all components and criteria of economic sustainability. Therefore, with a one-dimensional view of this process, we can not expect the desired results. However, it requires a comprehensive view and attention to all economic sustainability components in Langroud county's villages.