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Saeed Azizi, Masoud Mahdavi Hajiloui, Ribaz Ghorbaninejad,
Volume 10, Issue 38 (winter 2022 2022)
Volume 10, Issue 38 (winter 2022 2022)
Abstract
Introduction
Empowering the villagers - as a new approach to development - is very effective in increasing the income and development of rural settlements. In other words, Rural development is not possible without empowering the villagers. Because the change and development of knowledge, skills and attitudes of the villagers from the empowerment process is the basis of sustainable rural development, and as the villagers welcome new ideas and methods, their thoughts change followed by it. As a result, a new attitude is created in them towards agricultural and other economic activities in rural areas and by promoting their cognitive capacities (awareness and knowledge), they provide the conditions for sustainable rural development.
The purpose of this study was to rank rural settlements in terms of factors affecting the empowerment of villagers in the Chandar district in Savojbolagh county.
Methodology
This research is applied in terms of purpose and quantitative (survey) in terms of research approach. The statistical population includes the residents of 10 densely populated villages of Chandar district of Savojbolagh county with a population of 12764 people and the sample size was obtained using Cochran's formula of 384 people and based on the population of each village, the sample ratio of each village was determined. To compare and rank the villages, based on library studies, six combined indicators (components) including interest and motivation, education, participation of villagers, tourism, relief committee services and geographical capacities have been used as factors affecting empowerment. The data collection tool is a researcher-made questionnaire. The validity of the questionnaire was confirmed using the opinions of five experts and its reliability was obtained using Cronbach's alpha coefficient of 0.82 for a total of six indicators. The villagers' answers to the questions were entered into SPSS21 software and the average of each index in the villages was calculated. Then Dematel method was used to weight the indicators. Vikor technique was used to rank the villages in terms of empowerment indicators.
Savojbolagh county with an area of about 2785 square kilometers is located in the west of Alborz province. It consists of three districts called Markazi, Chandar and Chaharbagh, nine townships named Saeedabad, Hugh, Chandar, Baraghan, Ramjin and Chahardangeh and fore cities named Hashtgerd, Hashtgerd new city, Taleghan and Chaharbagh. According to the 2016 census, the population of Chandar district is equal to 28841 people. Among the villages in this section, 10 villages with a larger population were selected for this study.
Discussion and Conclusion
Given that a quarter of the country's population lives in rural areas and still faces deprivation and underdevelopment in many areas, many urban problems, such as marginalization and urban poverty, are rooted in unresolved issues in rural areas; Therefore, rural development is a priority in planning. In this direction, one of the important approaches for rural development is the empowerment of local and rural communities. Empowering villagers will alleviate poverty and reduce deprivation, increase rural entrepreneurship, and promote rural justice. The empowerment of the villagers themselves is influenced by factors. In fact, empowerment needs stimulants and reinforcers. In this study, six factors of interest and motivation, education, participation of villagers, tourism, relief committee services and geographical capacities were selected as effective factors on empowerment of villagers in Chandar section of Savojbolagh county.
According to the ranking of Vikor index from the lowest score to the highest score, Kordan village is ranked first, followed by Ghezel Darreh Farm, Fashand, Hassanabad Farm, Aznagh, Sebistan, Harjab, Kooshk Zar, Imamzadeh Shah Hossein and BanuSahra are located respectively. Among the indicators affecting empowerment, the indicators of participation, interest and motivation, respectively, had the most role, followed by the geographical capacity, training and services of the Relief Committee in the next ranks. The tourism index is in the last place with a difference. With this study, in addition to ranking the villages in terms of the level of empowerment, the importance of indicators to influence the empowerment variable was also determined and the indicators of participation, interest and motivation, environmental capacity and education can be emphasized more. On the other hand, villages that are in the lower ranks in terms of capability, such as BanoSahra, Shahzadeh Imam Hussein, Koushk Zar, Harjab, Sebistan and Aznagh should also be given priority in the programs.
Thus, by studying the status and level of empowerment indicators in other villages, it is possible to understand the spatial and content priorities of planning for empowerment measures in rural communities. It is obvious that for this purpose, several indicators in individual, institutional and environmental dimensions must be used.
Empowering the villagers - as a new approach to development - is very effective in increasing the income and development of rural settlements. In other words, Rural development is not possible without empowering the villagers. Because the change and development of knowledge, skills and attitudes of the villagers from the empowerment process is the basis of sustainable rural development, and as the villagers welcome new ideas and methods, their thoughts change followed by it. As a result, a new attitude is created in them towards agricultural and other economic activities in rural areas and by promoting their cognitive capacities (awareness and knowledge), they provide the conditions for sustainable rural development.
The purpose of this study was to rank rural settlements in terms of factors affecting the empowerment of villagers in the Chandar district in Savojbolagh county.
Methodology
This research is applied in terms of purpose and quantitative (survey) in terms of research approach. The statistical population includes the residents of 10 densely populated villages of Chandar district of Savojbolagh county with a population of 12764 people and the sample size was obtained using Cochran's formula of 384 people and based on the population of each village, the sample ratio of each village was determined. To compare and rank the villages, based on library studies, six combined indicators (components) including interest and motivation, education, participation of villagers, tourism, relief committee services and geographical capacities have been used as factors affecting empowerment. The data collection tool is a researcher-made questionnaire. The validity of the questionnaire was confirmed using the opinions of five experts and its reliability was obtained using Cronbach's alpha coefficient of 0.82 for a total of six indicators. The villagers' answers to the questions were entered into SPSS21 software and the average of each index in the villages was calculated. Then Dematel method was used to weight the indicators. Vikor technique was used to rank the villages in terms of empowerment indicators.
Savojbolagh county with an area of about 2785 square kilometers is located in the west of Alborz province. It consists of three districts called Markazi, Chandar and Chaharbagh, nine townships named Saeedabad, Hugh, Chandar, Baraghan, Ramjin and Chahardangeh and fore cities named Hashtgerd, Hashtgerd new city, Taleghan and Chaharbagh. According to the 2016 census, the population of Chandar district is equal to 28841 people. Among the villages in this section, 10 villages with a larger population were selected for this study.
Discussion and Conclusion
Given that a quarter of the country's population lives in rural areas and still faces deprivation and underdevelopment in many areas, many urban problems, such as marginalization and urban poverty, are rooted in unresolved issues in rural areas; Therefore, rural development is a priority in planning. In this direction, one of the important approaches for rural development is the empowerment of local and rural communities. Empowering villagers will alleviate poverty and reduce deprivation, increase rural entrepreneurship, and promote rural justice. The empowerment of the villagers themselves is influenced by factors. In fact, empowerment needs stimulants and reinforcers. In this study, six factors of interest and motivation, education, participation of villagers, tourism, relief committee services and geographical capacities were selected as effective factors on empowerment of villagers in Chandar section of Savojbolagh county.
According to the ranking of Vikor index from the lowest score to the highest score, Kordan village is ranked first, followed by Ghezel Darreh Farm, Fashand, Hassanabad Farm, Aznagh, Sebistan, Harjab, Kooshk Zar, Imamzadeh Shah Hossein and BanuSahra are located respectively. Among the indicators affecting empowerment, the indicators of participation, interest and motivation, respectively, had the most role, followed by the geographical capacity, training and services of the Relief Committee in the next ranks. The tourism index is in the last place with a difference. With this study, in addition to ranking the villages in terms of the level of empowerment, the importance of indicators to influence the empowerment variable was also determined and the indicators of participation, interest and motivation, environmental capacity and education can be emphasized more. On the other hand, villages that are in the lower ranks in terms of capability, such as BanoSahra, Shahzadeh Imam Hussein, Koushk Zar, Harjab, Sebistan and Aznagh should also be given priority in the programs.
Thus, by studying the status and level of empowerment indicators in other villages, it is possible to understand the spatial and content priorities of planning for empowerment measures in rural communities. It is obvious that for this purpose, several indicators in individual, institutional and environmental dimensions must be used.
Fazlullah Ismaili, Fatemeh Azizi, Mehdi Khodadad,
Volume 11, Issue 40 (summer 2022)
Volume 11, Issue 40 (summer 2022)
Abstract
Introduction
In recent years, we have seen an increase in population and the growth of migrations towards villages around Tehran. The reverse migration towards the suburban villages of Tehran can create a balancing mechanism for the migration of the accumulated labor force. This will require the improvement of the agricultural land and the creation of a social and economic environment for rural dwellers, so it can be reasonable for rural youth to stay in their homeland and make a living.
Therefore, the current research first investigates the indicators of economic stability related to migration, which are income, capital, production, reducing the motivation to work in the agricultural sector, employment, diversification of the rural economy, and then evaluates the effects of migration on these indicators in the studied villages. Understanding the consequences of migration with the aim of limiting its negative effects can help villages with similar conditions. Because of the importance of the issue, especially in metropolitan areas and the necessity of studying it, the current research is based on this central question: "What results and consequences have the arrival of newcomers had in the economic dimension of the villages?
Methodology
The research method in this study is a combination of quantitative and qualitative methods. Questionnaires and interviews were used to collect data. 360 households out of 9591 households were determined as the sample size based on the Cochran formula. In the qualitative part of the research, using a targeted sampling method, the sample size was 36 people who were interviewed.
Discussion and conclusion
The findings of the research showed that the production indicator with an average of 2.2 and the employment indicator with an average of 4.13 received the highest and lowest impact from employment, respectively. Also, the results of the qualitative findings showed that the low impact of migration on creating employment is compensated by daily trips for work and activities outside the village. The amount of income from the point of view of local residents has been assessed as high and moderate, which is the reason that the local elites mentioned that new sources of income had been created for local residents. It should also be noted that the impact of immigration on capital was evaluated as moderate and low because the arrival of newcomers has led to the capitalization of land and housing, a process that has a negative effect on production due to land use change. For this reason, the production indicator has been affected by migration more than other indicators. The reduction in the amount of production and the variety of products in the villages is actually a decrease in agricultural activities and rurality in the villages around Tehran.
In recent years, we have seen an increase in population and the growth of migrations towards villages around Tehran. The reverse migration towards the suburban villages of Tehran can create a balancing mechanism for the migration of the accumulated labor force. This will require the improvement of the agricultural land and the creation of a social and economic environment for rural dwellers, so it can be reasonable for rural youth to stay in their homeland and make a living.
Therefore, the current research first investigates the indicators of economic stability related to migration, which are income, capital, production, reducing the motivation to work in the agricultural sector, employment, diversification of the rural economy, and then evaluates the effects of migration on these indicators in the studied villages. Understanding the consequences of migration with the aim of limiting its negative effects can help villages with similar conditions. Because of the importance of the issue, especially in metropolitan areas and the necessity of studying it, the current research is based on this central question: "What results and consequences have the arrival of newcomers had in the economic dimension of the villages?
Methodology
The research method in this study is a combination of quantitative and qualitative methods. Questionnaires and interviews were used to collect data. 360 households out of 9591 households were determined as the sample size based on the Cochran formula. In the qualitative part of the research, using a targeted sampling method, the sample size was 36 people who were interviewed.
Discussion and conclusion
The findings of the research showed that the production indicator with an average of 2.2 and the employment indicator with an average of 4.13 received the highest and lowest impact from employment, respectively. Also, the results of the qualitative findings showed that the low impact of migration on creating employment is compensated by daily trips for work and activities outside the village. The amount of income from the point of view of local residents has been assessed as high and moderate, which is the reason that the local elites mentioned that new sources of income had been created for local residents. It should also be noted that the impact of immigration on capital was evaluated as moderate and low because the arrival of newcomers has led to the capitalization of land and housing, a process that has a negative effect on production due to land use change. For this reason, the production indicator has been affected by migration more than other indicators. The reduction in the amount of production and the variety of products in the villages is actually a decrease in agricultural activities and rurality in the villages around Tehran.
Parisa Noori Darzikolaie, Fatemeh Razzaghi Borkhani, Taher Azizi Khalkheili, Ali Akbar Barati,
Volume 13, Issue 49 (11-2024)
Volume 13, Issue 49 (11-2024)
Abstract
Objective: This study aimed to develop a model to improve the efficiency of the water-energy-food (WEF) nexus in rice farming in Sari County.
Method: The research was conducted using a quantitative, survey-based approach and falls under the category of applied studies. The statistical population consisted of 25,590 rice farmers in Sari County, with a sample size of 170 farmers, determined using G-Power software. A multi-stage stratified sampling method with proportional allocation was employed. Data collection was conducted through a researcher-made questionnaire, whose face and content validity were confirmed by experts. The reliability of the research tool was assessed using Cronbach's alpha coefficient. Data analysis was performed using Data Envelopment Analysis (DEA) to evaluate the efficiency of the WEF nexus.
Results: The findings indicate that the efficiency index of the WEF nexus among the studied rice farms was 0.198, reflecting very poor efficiency in rice production. Specific observations include: 70% of the studied units exhibited unsatisfactory nexus efficiency; A negative correlation was found between the amount of water and energy consumed and the nexus efficiency index; Larger-scale farms demonstrated higher nexus efficiency, while smaller farms exhibited lower efficiency levels; There was a positive correlation between the nexus efficiency index and farm size, suggesting that economies of scale positively influence efficiency.
Conclusion: The study highlights significant inefficiencies in the WEF nexus within rice farming in Mazandaran Province, specifically regarding water and energy consumption. Key conclusions include: The amount of rice produced relative to water and energy consumption is low, indicating substantial resource wastage; Optimization of water and energy use is critical to enhancing nexus efficiency without compromising crop production or food security; Tailored strategies are required to address regional differences and align cropping patterns with local climatic and weather conditions.
To improve WEF nexus efficiency, the following recommendations are proposed:
Method: The research was conducted using a quantitative, survey-based approach and falls under the category of applied studies. The statistical population consisted of 25,590 rice farmers in Sari County, with a sample size of 170 farmers, determined using G-Power software. A multi-stage stratified sampling method with proportional allocation was employed. Data collection was conducted through a researcher-made questionnaire, whose face and content validity were confirmed by experts. The reliability of the research tool was assessed using Cronbach's alpha coefficient. Data analysis was performed using Data Envelopment Analysis (DEA) to evaluate the efficiency of the WEF nexus.
Results: The findings indicate that the efficiency index of the WEF nexus among the studied rice farms was 0.198, reflecting very poor efficiency in rice production. Specific observations include: 70% of the studied units exhibited unsatisfactory nexus efficiency; A negative correlation was found between the amount of water and energy consumed and the nexus efficiency index; Larger-scale farms demonstrated higher nexus efficiency, while smaller farms exhibited lower efficiency levels; There was a positive correlation between the nexus efficiency index and farm size, suggesting that economies of scale positively influence efficiency.
Conclusion: The study highlights significant inefficiencies in the WEF nexus within rice farming in Mazandaran Province, specifically regarding water and energy consumption. Key conclusions include: The amount of rice produced relative to water and energy consumption is low, indicating substantial resource wastage; Optimization of water and energy use is critical to enhancing nexus efficiency without compromising crop production or food security; Tailored strategies are required to address regional differences and align cropping patterns with local climatic and weather conditions.
To improve WEF nexus efficiency, the following recommendations are proposed:
- Agricultural Zoning: Implement zoning strategies based on regional climate and conditions to optimize cropping patterns.
- Extension-Education Programs: Develop training initiatives for farmers, focusing on efficient farm management practices.
- Demonstration Farms: Promote exemplary farms as models for best practices through demonstration sites, model farms, and farmer field schools.
These measures aim to reduce resource wastage and improve sustainability in rice production while ensuring food security in the region.
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