Agricultural Economics
Z. Zarei Dastgerdi; Kh. Kalantari; A. Asadi
Abstract
The agricultural sector in developing countries plays an important role in promoting national development and rational policy making and strategic planning to advance the sustainable development of this sector are of main concerns of the relevant institutional actors. In this regard, the current research ...
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The agricultural sector in developing countries plays an important role in promoting national development and rational policy making and strategic planning to advance the sustainable development of this sector are of main concerns of the relevant institutional actors. In this regard, the current research was conducted with the aim of identifying scenarios of sustainable agricultural development in the catchment area of Zayandeh River in Isfahan province. The present research was applied, of descriptive-survey type. The statistical population was experts related to agricultural development in the province. To collect data, library sources, questionnaires and interviews were used. Delphi method and interviews with elites and executives were used to identify the primary components and drivers effective on the sustainable development of agriculture in the Zayandeh River watershed of Isfahan province. The snowball technique was used to select the experts. Finally, 8 key drivers were identified and separated in order to explain the research variables in a strategic format. Based on this, in the section related to the expression of research priorities in two direct and indirect modes, these 8 key factors have been repeated in different priorities. Questionnaires were distributed among 25 experts. In this study, five plausible scenarios were identified for forecasting the future of sustainable agricultural development by considering potential outcomes based on key factors and their similarities or differences across the categories of favorable, static, and critical scenarios. Based on their total scores, which range from 85 to 109, two scenarios were identified as the most likely: one favorable scenario and one critical scenario.
Agricultural Economics
S. Binaei; H. Shabanali Fami; Kh. Kalantari; A.A. Barati
Abstract
Food production in controlled cultivation areas plays a crucial role in increasing productivity and offsetting supply shortages. Product yields, water consumption, and energy use are the main parameters determining the performance of food production in a greenhouse. Smart technology is an effective solution ...
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Food production in controlled cultivation areas plays a crucial role in increasing productivity and offsetting supply shortages. Product yields, water consumption, and energy use are the main parameters determining the performance of food production in a greenhouse. Smart technology is an effective solution to improve these parameters. This study aimed to identify the components, challenges, and requirements for the development of smart agriculture in greenhouses. Our case study focused on Tehran province, which encompasses a significant portion of the total greenhouses in Iran. The statistical population consisted of 20 subject-matter experts with research or executive experience in greenhouse automation, selected purposefully. Questionnaires and semi-structured interviews were used in this study to collect data. First, we identified the variables affecting the development of smart agriculture in greenhouses by using a literature review and semi-structured interviews with experts, Then, the experts were asked to evaluate the cross-influence of the identified variables through pairwise comparison. Finally, data analysis was done using MICMAC software. The findings indicate that the identified requirements and challenges have had a significant influence on the lack of smart agriculture in greenhouses. Through network analysis of influence and dependence relationships, it was found that economic requirements and challenges, technical and infrastructural requirements and challenges, legal and regulatory requirements, and institutional requirements were the most influential variables in the development of smart agriculture in Tehran province.
H. Varmazyari; Kh. Kalantari; H. Shaebanali Fami
Abstract
Abstract Although farmers always have been seriously depended on the banks for their capital formation, but the more important issue, which has been less considered, is to investigate how the agricultural loans are spent by farmers and to explain principles of productive use of the loans. The present ...
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Abstract Although farmers always have been seriously depended on the banks for their capital formation, but the more important issue, which has been less considered, is to investigate how the agricultural loans are spent by farmers and to explain principles of productive use of the loans. The present research aims to investigate how different groups of farmers spend the loans and to explain the related discriminatory variables. The sample (n=120) was selected through stratified sampling method, from a population including Khoy County farmers who had borrowed agricultural loan during 2002-2007 at least once (N=4592). The results showed that farmers were different from each other in terms of loans' spending behavior because of variables including "type of agricultural loan, use of crops insurance, monitoring times on the quality of loan use, loan amount, and educational level". JEL classification: Q14
Kh. Kalantari; A. Asadi; H. Shabanali Fami; A. Arabiun
Abstract
Sustainability of wheat farming systems depends on various ecological, economic and social factors. Identifying these factors can be most effective to formulating sustainable agricultural analysis policies and strategies. According to this, the purpose of this paper is to identify sustainability factors ...
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Sustainability of wheat farming systems depends on various ecological, economic and social factors. Identifying these factors can be most effective to formulating sustainable agricultural analysis policies and strategies. According to this, the purpose of this paper is to identify sustainability factors of wheat cultivation system in Fars province. Statistical population of this research includes all wheat farmers of Fars province. Sample was selected by using multi stage random sampling method and questionnaire was used for data gathering. Validity of questionnaire confirmed by selected experts and researchers of agricultural development, and Coronbach Alpha coefficient (0.77 to 0.94) was used to confirm its reliability. According to descriptive finding of the study on average irrigated farm land for each landholder was 10.29 ha, With 6.23 ha, allocated to wheat cultivation, annually. On average production per hectare were 6.84 ton and average annual income of each wheat farmer was 120 million Rails. From the view point of landholding system 30.34 percent of the farmers are small landholding. About 88.57 percent of farmers were owner of the farm, 22.65 percent have continuous in cultivation and 67.52 percent have rotational farming in wheat cropping. In total 80.3 percent of farmers do not have sufficient professitional knowledge and 90 percent of them do not enjoy an appropriate agricultural support services. In respect of social participation, 55.6 percent of them are in intermediate level and 67.5 percent do not have sufficient satisfaction from agricultural activities. The results of factor analysis showed that, 5 factors of ecological sustainable cultivation activities, Agricultural extension service, social and participation situation and economic factor explained 72.56 percent of sustainability of wheat cultivation system in Fars province
Sh. Sarvaramini; A. Asadi; Kh. Kalantari
Abstract
The general purpose of this research was survey and recognizes the positive and negative effects of industrial site of Eshtehard rural development in eshtehard region Statistical populations were two groups’ namely rural people and master of industrial area. The size of the sample was 150 villagers ...
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The general purpose of this research was survey and recognizes the positive and negative effects of industrial site of Eshtehard rural development in eshtehard region Statistical populations were two groups’ namely rural people and master of industrial area. The size of the sample was 150 villagers and 70 masters of industrial units. (Using stratified proportionate random sampeling technique and based on cocran’s sampeling methodology) The study was carried out with field research approach and the validity of research tool was obtained by idea of experts and for reliability of questionnaires a pilot test was conducted. Cronbach’ Alpha coefficient of higher than 0.7 showed that research tool is reliable.. Descriptive and inferential statistics such as frequency, percentage, mean, CV, factor analysis and Mann-Whitney Tests were used to data analysis. The result of factor analysis showed that in village area, five factors named as social impacts, economic impacts, physical impacts, agricultural impacts and environmental impacts explained 65.98% of variance of positive effects of industrial area. About negative effects of industrial area, four factors named as social impacts, economic impacts, agricultural impacts and environmental impacts explained 63.159% of total variance. Moreover with use of mann-whitney result there are difference between two groups of rural people and master of industrial area.
A. Asadi; Kh. Kalantari; A. Ansari Ardali; M. Rahimian; Y. Mohammadi
Abstract
AbstractThe main purpose of this research was the analysis of economic effects of fish farming pools establishment in Ardal county of Chaharemahal and Bakhtiyari province. This research was a sort of survey search measure and a questionnaire was compiled for collecting of data. Statistical society of ...
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AbstractThe main purpose of this research was the analysis of economic effects of fish farming pools establishment in Ardal county of Chaharemahal and Bakhtiyari province. This research was a sort of survey search measure and a questionnaire was compiled for collecting of data. Statistical society of this study was included of 171 fish farming units that 75 units were chosen by random sampling method. The results showed that all of producers are men and about 30 percents of them are illiterate. Also according to results of study, development of export and increasing of Farmers income is the most important economic effect of fish Farming establishment. Finally the results of factor analysis revealed that the economic effects were classified into 7 factors that these factors respectively to their importance were included of: improvement of investment in agricultural and non-agricultural section, improvement of employment situation, improvement of export, improvement of income, improvement of substructure and tourism attraction, improvement of demand and innovation expansion. In total, improvement of investment in the agricultural and non-agricultural section was recognized as the most important economic effect of the fish farming pools establishment.
