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Mehdi Cheraghi,
Volume 11, Issue 39 (5-2022)
Volume 11, Issue 39 (5-2022)
Abstract
Introduction
One of the topics related to food insecurity coping strategies is recognizing the effective factors for choosing strategies to deal with household food insecurity. Recognition of these factors is essential for planning to reduce the negative effects of food insecurity among rural households. Preliminary studies show that food security in the villages of Halab District, Ijrud County is at a low level, which includes reasons such as distance from food shopping centers, poor infrastructure, health, education and welfare facilities, low employment rate, low income level. However, in the study area, rural areas have suitable natural, economic and social resources and substrates for achieving sustainable rural development. The present study investigated the food insecurity situation of households in Halab District of Ijroud County, and then analyzed the effective factors in choosing strategies to combat food insecurity. Following questions are investigated: 1. What is the most important nutritional strategy of the households in the studied villages to deal with food insecurity? 2. What is the most important non-food strategy of the households in the studied villages to deal with food insecurity? 3. What is the most effective factor in applying strategies to combat food insecurity in the study area?
Methodology
The present research is an applied and descriptive-analytical study . Data were collected by using library and field method (questionnaire). The statistical population of the present study is households living in Halab, Ijroud County of Zanjan Province. This section has 29 inhabited villages with a population of 5183 people and 1715 families in the 2016 census. 380 households completed the questionnaire in the households of the studied villages, which was determined using the Cochran's formula. A simple systematic and random method was used for the sample selection. To assess the food security of rural households, the household food insecurity scale method was used, which consisted of 18 questions and to assess food and non-food strategy, 12 indicators was applied. In order to group the food security status of the families with children, the questions and standard grouping of the US Department of Agriculture have been used. Hackman's model was also used to investigate the factors influencing the selection of effective strategies in combating food insecurity. The Hackmann two-stage model was proposed in 1979. This model is designed to eliminate the error in selecting the sample or population under study. In the present study, Hackman's model identifies the variables with their intensity of impact for the implementation of food insecurity coping strategies in the study area.
Discussion and conclusion
Findings related to food security classification of the studied households show that 49.41% of households have food security, 31.76% of households have food insecurity without hunger, 10.59% of households have food insecurity with moderate hunger and 8.24% of households have severe food insecurity with hunger. Descriptive findings related to food strategies to combat food insecurity among the rural households studied show that the highest mean is related to the strategy of consuming cheap food and the lowest average is related to the strategy of a full day without food. The results of the model show that with a 99% probability the factors of age, number of household members, type of housing quality and percentage of income from the agricultural sector are effective in applying food strategies to combat food insecurity in the study area. Furthermore, for non-food strategies, the results of the Hackman model can confirm with a 99% confidence level that the factors of age, spouse education, number of household members, number of sons, number of people with university education, head job, spouse job, sub-job, income, irrigated lands, garden lands, having livestock, number of visits to the city during the week, vehicle, receiving bank credits, percentage of income from the industrial sector, percentage of income from the agricultural sector and percentage of income from the service sector are the most effective factors on the application of strategies to combat food insecurity.
One of the topics related to food insecurity coping strategies is recognizing the effective factors for choosing strategies to deal with household food insecurity. Recognition of these factors is essential for planning to reduce the negative effects of food insecurity among rural households. Preliminary studies show that food security in the villages of Halab District, Ijrud County is at a low level, which includes reasons such as distance from food shopping centers, poor infrastructure, health, education and welfare facilities, low employment rate, low income level. However, in the study area, rural areas have suitable natural, economic and social resources and substrates for achieving sustainable rural development. The present study investigated the food insecurity situation of households in Halab District of Ijroud County, and then analyzed the effective factors in choosing strategies to combat food insecurity. Following questions are investigated: 1. What is the most important nutritional strategy of the households in the studied villages to deal with food insecurity? 2. What is the most important non-food strategy of the households in the studied villages to deal with food insecurity? 3. What is the most effective factor in applying strategies to combat food insecurity in the study area?
Methodology
The present research is an applied and descriptive-analytical study . Data were collected by using library and field method (questionnaire). The statistical population of the present study is households living in Halab, Ijroud County of Zanjan Province. This section has 29 inhabited villages with a population of 5183 people and 1715 families in the 2016 census. 380 households completed the questionnaire in the households of the studied villages, which was determined using the Cochran's formula. A simple systematic and random method was used for the sample selection. To assess the food security of rural households, the household food insecurity scale method was used, which consisted of 18 questions and to assess food and non-food strategy, 12 indicators was applied. In order to group the food security status of the families with children, the questions and standard grouping of the US Department of Agriculture have been used. Hackman's model was also used to investigate the factors influencing the selection of effective strategies in combating food insecurity. The Hackmann two-stage model was proposed in 1979. This model is designed to eliminate the error in selecting the sample or population under study. In the present study, Hackman's model identifies the variables with their intensity of impact for the implementation of food insecurity coping strategies in the study area.
Discussion and conclusion
Findings related to food security classification of the studied households show that 49.41% of households have food security, 31.76% of households have food insecurity without hunger, 10.59% of households have food insecurity with moderate hunger and 8.24% of households have severe food insecurity with hunger. Descriptive findings related to food strategies to combat food insecurity among the rural households studied show that the highest mean is related to the strategy of consuming cheap food and the lowest average is related to the strategy of a full day without food. The results of the model show that with a 99% probability the factors of age, number of household members, type of housing quality and percentage of income from the agricultural sector are effective in applying food strategies to combat food insecurity in the study area. Furthermore, for non-food strategies, the results of the Hackman model can confirm with a 99% confidence level that the factors of age, spouse education, number of household members, number of sons, number of people with university education, head job, spouse job, sub-job, income, irrigated lands, garden lands, having livestock, number of visits to the city during the week, vehicle, receiving bank credits, percentage of income from the industrial sector, percentage of income from the agricultural sector and percentage of income from the service sector are the most effective factors on the application of strategies to combat food insecurity.
Mojtaba Hakimi, Jamsid Einali, Hosein Farahani,
Volume 13, Issue 49 (11-2024)
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:
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.
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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