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Showing 4 results for Local Economy

Esmaeil Ali Akbari, Mostafa Taleshi, Nayyereh Haj Amini,
Volume 4, Issue 13 (11-2015)
Abstract

Introduction
Changes in spatial patterns and its structural and functional dynamics which is apparently obvious within physical links and relationships of cities and rural and urban network is fundamentally one of the outcomes of forces that contribute to the controlling process of actual mechanism of capital absorption, its flow, work forces, and population. Such forces play a significant role in excess flow and changes made in the structure of spatial system of regional network and its reconstruction, especially in urban networks. Results coming from changes in urban structures usually appear in form of physical development of structures and physical and functional changes which can cause alternative changes in the spatial structure of regional network system and urban network in terms of regional space and its peripheral relations. So, studying urban mechanisms can effectively help us in developing an efficient analytical framework or strategy of space reconstruction just in case that we try to study changes and understand forces and effective process on the construction and reconstruction of urban systems. This point of view can enable us to justify organization and reorganization of urban networks in regional space.
Methodology
Considering thinking direction of political economic (as the fundamental theory), this research is investigating the rate of socioeconomic changes and basic mechanisms which lead to the creation and transferring of patterns of spatial organization in regional space of Kerman. Regarding the nature of the subject and its components, making use of analyticaldescriptive method as an excellent approach was something inevitable. The official definition of statistical population of this research includes of urban centers of Kerman Province. Theoretical and quantitative information have been collected from scientific and statistical resources through documentary method. To explain and interpret regularities and rules of distribution of the size of cities and changes related to regional and urban network system, quantitative method of rank - size and prime city have been used to explain spatial hierarchy and intra city relations and links.
Discussion and conclusion
Local economic relations, excess flow and reconstruction of urban mechanism in regional space of Kerman County have all occurred within a process of three different periods: First period: Rural economic, excess occasions and urban dominant: In the initial years of land reforms and within this time, excess possession of landlords was forming the foundations of different methods of social management in spatial organization of the area. Of course, the domination of the biggest city of the area (Kerman), has been the most prominent form of spatial reflection of urban network. Within this period of time, urbanization has been gradually progressing in Kerman Province. It should be noted that the imbalanced growth of urban mechanism is one of the consequences of inequalities in agricultural sectors and among rural areas that has resulted into imbalanced distribution of regional space. In addition, it has caused all the privileges connected to the concentration of capital, facilities, activities and population to be allocated to the metropolis of the area. The functional feature which is particularly dominant is known as the basic feature of exploitation capitalism which is applied in villages and small cities of the area by Kerman. Second period: Changes in local economic network, the rise of oil rents, and related urbanization: After land reforms and formation of rentier state, national oil surplus has had a great impact upon the construction of the environment of the area. From the time of the complete destruction of local and regional networks used in order to exploit excess rural resources, a series of aggressive actions was begun in the city of Kerman via the absorption of extra mines and industries which was not merely resulted from production. Actually, it was kind of ownership royalty appointed by urban governance to make higher amount of production, activities and concentration. Excess industrial-mining flow is mainly departed into the central area. A great amount of it has been grasped by the regional metropolis of Kerman. Financial mechanisms of budgeting, credit distribution, development programs and distribution of bank deposits by the government are examples of other forms of investment in this period. These forms have made unequal spatial concentration and heterogeneous current of national surplus in urban networks to be possible. A great amount of excess flow is dominantly and unequally devoted to Kerman through development budget and bank deposits. Patterns related to the velocity of money and surplus unequal concentration not only reflected over the spatial organization of settlement system (space of area) in forms of imbalanced development, but has also constructed and reconstructed a new but unequal networks of cities and rural- urban areas within the same space. Third period: Urban changes and excess absorption: Since 1370s, urban transformations caused inequalities in excess absorption, excess flow, and excess accumulation in urban networks through the creation of new frameworks. In this way, new imbalanced forms have gotten expanded in regional space of the area. In this period, the process of urbanization was the main reason of using rents (excess). Excess absorption was also done through these urban changes and transformations. The mostly used rent-seeking structures are made through space creation, high profit-making plans of urban development, designing and performing noncommercial projects by private section and state actors which can lead into the production of value and surplus value. The implementation of these kinds of project which are considered as success tools for urban management in competitions for a closer and longer approaching to rents are the most significant factors affecting urban transformations to absorb and make an unequal excess flow within the cities. Considering this, the real strategy of regional integration and reconstruction of regional and urban networks based on declining hegemonic relations in the metropolis and availability of equal chances of development for networks staff must be relied on a special pattern via which we can provide situations of employment generation based on internal capacities of local economic growth in the bottom of the whole network together with eccentric growth of large urban nodes (Kerman) mixed with several developing old nods (Rafsanjan, Sirjan, Jiroft, Bam and Zarand). It seems obvious that a model like this cannot be effective without reviewing and rethinking of its structural relations and concepts and regulations of the hegemonic process of national surplus.

Anoshiravan Zahiri, Hadi Sanaeepour, Abdolghani Rastegar,
Volume 10, Issue 37 (12-2021)
Abstract

Introduction
Economic actors must be prepared to identify and plan risks. In other words, businesses need to improve their resilience. Improving business resilience consists planning for risks and businesses capabilities for surviving and thriving despite unfavorable conditions. Business resilience is the structural and procedural dynamics that enable businesses to have the capacity to address challenges. Survival and development of businesses operating in today's unstable environment depends to some extent on their resilience. In this regard, eco-resorts call for improvement of their resilience capacity. Resilience capacity enhances the ability of eco-tourism businesses in the face of specific situations and accelerates transformational actions in the event of unexpected and important events and contributes to the long-term survival of the organization. To this end, the purpose of this study is modeling the resilience of eco resorts in rural areas of Giulan Province.  A literature review was conducted and verified the research gap in the importance of business resilience in rural areas and highlighted that no study has been conducted to address this issue. Also, it should be noted that the rural economy is not merely economic, but also social, political and security aspects, and this study can contribute to new perspectives on this matter.

Methodology

The present study is exploratory. The study uses a qualitative method and specifically a grounded theory, to model the resilience pattern of eco-tourism businesses in rural areas of Gilan Province. Semi-structured interviews with key practitioners and informants were used as the means of data collection. For this purpose, a snowball sampling was used. 18 interviewees were selected and the collected information reached saturation point. For data analysis, the systematic method of Strauss and Corbin was performed in three main steps: open coding, axial coding and selective coding. After conducting interviews and integrating common themes using the grounded theory method, the categories were divided into six groups: causal factors, context factors, axial phenomenon or component, intervening factors, strategies and consequences, and ultimately a paradigmatic model was designed. The validity of the research tool was confirmed by participants, and peers. The reliability of the results was evaluated by several experts on the topic and the final model was extracted.

Discussion and conclusion
Based on the findings, the causal factors of the research include the variables of entrepreneurial attitude (including entrepreneurial awareness and identification, discovery and creation of opportunities in rural areas), entrepreneurial orientation and leadership, entrepreneurial characteristics, technology-based entrepreneurship and strategic entrepreneurial perspective of business owners in this rural region.
Also, intervention factors were identified as variables of creative and innovative milieu, entrepreneurial culture of rural areas, customer service and networking between entrepreneurs and residents of rural areas, communication and coordination within the organization and stakeholders, social exchange of the local community.
The context factors of the research consisted of the development of public and technological infrastructure in rural areas, improving the macroeconomic and social environment, promoting institutional arrangements (government, public sector and market), rural destinations and attractions and their uniqueness.
Eco tourism business resilience strategies comprise creating virtual social networks for promoting rural businesses, financial supports, administrative supports, political supports, legal supports, advertising, marketing and branding of rural businesses, improving individual and managerial skills of rural economic actors, reviewing business plans, strategic planning of human capital, providing a sustainable competitive advantage (competitiveness) for rural businesses and knowledge management for local people.
In conclusion, the resilience of eco-tourism businesses leads to consequences such as sustainability, durability and flexibility of rural businesses, exploiting business opportunities in rural areas, creating security in rural areas by establishing sustainable development (socio-cultural, economic and environmental), job creation, social welfare, prosperity of the local economy and reverse migration to rural areas.

Aliakbar Anabestani, Farokh Legha Bahadori Amjaz, Jamileh Tavakolinia,
Volume 11, Issue 39 (5-2022)
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.

Mojtaba Hakimi, Jamsid Einali, Hosein Farahani,
Volume 13, Issue 49 (11-2024)
Abstract

Objective: Mining is a critical environmental resource, with its primary and most significant impacts being economic. Subsequent effects arise later and are dependent on proper consideration and evaluation. When managed effectively, mining can contribute to the formation of value-added chains in other economic sectors and lay the foundation for achieving sustainable development goals. This research aims to examine the effects of mining exploitation on the economic indicators and population stability of rural areas in Boghdakandi district.
Methods: The research is applied in nature, employing a descriptive-analytical methodology. Data collection utilized library and field methods, including: Observation (general and individual), Interviews (structured) and Questionnaires (closed and Likert scale). The questionnaire's face validity was assessed by experts, and its reliability was confirmed with a Cronbach’s alpha coefficient of 0.802. The study’s statistical population comprised the households of Boghdakandi district, which, according to the 2015 census, included 2,227 households. Using Cochran's formula, the required sample size was calculated as 314 households. Data analysis involved both descriptive statistics (mean, frequency distribution, and standard deviation) and inferential statistical tests (One-sample T-test, Pearson Correlation, and Kruskal-Wallis test).
Results: The research findings reveal a significant relationship between mining exploitation and the economic indicators of the studied villages. Key results include:
  • Economic Indicators: Employment Index: Mean = 3.229; Income Index: Mean = 3.132; Natural Resources: Mean = 3.393; and Welfare: Mean = 3.431.
These values indicate a moderate impact of mining on economic indicators.
  • Population Stability: Population Stability Index: Mean = -2.763 and Capital Index: Mean = -2.742.
These indices are below average, suggesting that mining has had adverse effects on population stability.
Statistical yearbooks (2006–2016) highlight a declining population trend in all studied villages, except Saeed Kandi, which experienced a growth rate of 0.9%.
Conclusion: The study concludes that while mining exploitation in Boghdakandi district has moderately improved certain economic indicators (employment, income, natural resources, and welfare), it has had negative impacts on population stability and capital levels. The population decline observed across most villages underscores the inability of mining activities to positively influence long-term population stability. This suggests that while mining can contribute to economic growth in the short term, its sustainability requires more strategic management to balance economic benefits with social and demographic stability.


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