Research Article
E. Ghorbanian; M. Zibaei; M. Ghorbani; M.R. Kohansal
Abstract
Due to limitation of available water and soil resources in Iran, the challenge of optimizing the utilization of these resources has become more significant. One of the solutions to the economic, planning and optimization of water use and achieve the optimum level of water use is associated with improved ...
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Due to limitation of available water and soil resources in Iran, the challenge of optimizing the utilization of these resources has become more significant. One of the solutions to the economic, planning and optimization of water use and achieve the optimum level of water use is associated with improved farming activities and this is the most important agricultural research needs. The study of price and yield time series data between 1999-2009 and questionnaire data (2010-2011) of the plains Kavar in Fars province, has used and determine the optimal amount of water for agricultural cultivation pattern and using mathematical programming models considered. The results show that the maximum profit with the goal of maximizing utility, make more profit, but it is also more water consumption. Also, water consumption and utilization inversely with risk averse farmer is not using all of their water resources.
Research Article
E. Azadegan; F. Rastegaripour; M. Sabouhi
Abstract
In farming activities, various resources and inputs are utilized to produce agricultural products.. One of the most important goals of agricultural managers and programmers is to assess the optimal resource allocation for designing an appropriate cultivation pattern. Mathematical programming is a common ...
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In farming activities, various resources and inputs are utilized to produce agricultural products.. One of the most important goals of agricultural managers and programmers is to assess the optimal resource allocation for designing an appropriate cultivation pattern. Mathematical programming is a common approach to achieve the optimal pattern. In this study, the two approaches of Fuzzy De-Novo and De-Novo programming are first described, and later their applications in determining the optimal cultivation pattern is discussed. The study was conducted in 2009-2010. Using the random sampling technique, 127 farmers of Sabzevar city were selected and interviewed in person. The data collection was based on completing questionnaires. Results showed that farmers in the three groups of the small farms (less than 6.5 hectare), the medium farms (high than 6.5 and less than 13 hectare) and the large farms (high than 13 hectare) can increase the level of the impure efficiency and can make the resource utilization more efficient by changing their present cultivation patterns. using proper cultivation patterns.
JEL Classification: C61,Q21
Research Article
S. S. Hosseini; H. Shahbazi
Abstract
Estimation of agricultural sector demand and supply and identification of its determinants could lead to more efficient policies and planning of this section. In this study, aggregate demand and supply of agriculture sector for years of 1959-2007 by using of nonlinear restricted ARMAX model are estimated. ...
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Estimation of agricultural sector demand and supply and identification of its determinants could lead to more efficient policies and planning of this section. In this study, aggregate demand and supply of agriculture sector for years of 1959-2007 by using of nonlinear restricted ARMAX model are estimated. Result indicates that aggregate agriculture demand is inelastic in short and long run. Those elasticities are -0.118 and -0.162, respectively. Demand own price adjustment coefficient is about 0.273. Also, supply short and long run own price elasticities are 0.129 and 0.166, respectively. Its adjustment coefficient is 0.225. These results accentuate to Agricultural Product necessity nature.
Research Article
A.R. Foroughi; J. Izy; M. Hasannejad
Abstract
Entrepreneurship has long history in human life and related studies have been conducted primarily in scientific circles by industrialized countries. However, this topic has been discussed recently in our country. The main objective of this study was to assess the behavioral and personality characteristics ...
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Entrepreneurship has long history in human life and related studies have been conducted primarily in scientific circles by industrialized countries. However, this topic has been discussed recently in our country. The main objective of this study was to assess the behavioral and personality characteristics of entrepreneurship in order to identify entrepreneurs and non-entrepreneurs of dairy Cattle industry in Razavi Khorasan Province. Therefore, the data point corresponding to the 85 owners of industry dairy farms, 30 owners of milk collection centers and 10 owners’ offeed mills (statistical population with 125 members) were used. Using AHP techniques and identification of behavioral indicators dairy cattle industry actors, the degree of importance of each of these parameters were determined. Then, using cluster analysis and the above criteria and with discriminant analysis techniques, distinguishing factors of two groups of entrepreneurs and non-entrepreneurs were examined. Results showed that from the study population, 19 dairy farmers, 5 milk collecting owners and 2 feed mill owners were entrepreneur. The most important Behavioral indicators effective on becoming owners as entrepreneur Were risk-taking, activity growth and selection of their unitas Superior, respectively. Also, the technique of discriminant analysis results indicate that the personality variables in the study, risk-taking spirit (potentially of behavioral variables atrisk-taking), innovation, effort and follow, expansion, internal control orientation and opportunity-seeking were the most important factors that distinguish the two groups of entrepreneurs fromnon-entrepreneurs, respectively. Using the findings, suggestions for improving the entrepreneurial process in the dairy cattle industry are presented.
Research Article
H. Tavakoli; M. Fayaz; M. Hasannejad
Abstract
Rangeland plans as an management option is subject that by giving range to beneficiaries beneficiaries will be identified in the plans whit Specific programs. The purpose of this study is to identify factors affecting the performance of rangelands schemes and consequently to rank the projects in Razavi ...
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Rangeland plans as an management option is subject that by giving range to beneficiaries beneficiaries will be identified in the plans whit Specific programs. The purpose of this study is to identify factors affecting the performance of rangelands schemes and consequently to rank the projects in Razavi Khorasan by identified factors. Six original schemes in Razavi khorasan were selected for this study and so This projects were Rankings by factors affecting performance. In order to using Fuzzy Delphi method, indicators of performance evaluation of management of Range project Were identified into five main indicators; 1- The ability to plan, 2- Compatibility of the project with the conditions, 3- Legal actions in the plan, 4- Management and monitoring on plan, 5- The results of the project and 14 sub-indicators. Then rangeland Projects were ranked Using these indicators and TOPSIS Technique.The results of TOPSIS algorithm showed that sort rangeland plans in Are kamar of Fariman, Bahar Kish of Nishabor, Cal Kaqazi of Kalat, Nahor fountain of Khaf, Farmad of Mashhad and Rahim Abad of Kashmar have the highest ratings of performance. In total, it was recommended according to Social, economic and ecological conditions of the study area and the capacities and limitations of both the natural and human factors.
Research Article
M.R. Pakravan; O. Gilanpour
Abstract
Present study, compares Iran's agricultural products competitiveness power with MENA's countries during 1995-2011. For accomplishing mentioned goal, first, agricultural commodities export and import indices calculated for each one of twenty countries of mentioned region and then revealed comparative ...
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Present study, compares Iran's agricultural products competitiveness power with MENA's countries during 1995-2011. For accomplishing mentioned goal, first, agricultural commodities export and import indices calculated for each one of twenty countries of mentioned region and then revealed comparative advantages index of agricultural commodities trade calculated. Results showed that Iran had comparative advantages in agricultural commodities export only in 1998. Investigating correlation among MENA's countries revealed that Iran had positive relationship with Libya, Lebanon, Saudi Arabia, Oman and Syria. So, it is concluded that Iran's agricultural products export comparative advantages correlated with mentioned countries and for developing agricultural products export we should consider mentioned countries policies in a way that new export goal markets and trade benefits increase have been accomplished. In order to investigate Iran's position in exporting agricultural commodity, Iran's export comparative advantages forecasted till 2017 via ARIMA. Results revealed that mentioned index had declining trend in forecasted period which raised the need of applying serious policies for controlling negative consequences and also, performing the program of nonpetroleum commodities trade expansion document and reducing the petroleum income dependency. Evaluating Iran's trade plan showed that Iran was the loser in market during 2007 till 2009 in agricultural commodities export and loses trade goal markets or could not acquire new share in markets proportionate with global import growth.
Research Article
M. Hosseinzadeh; M.R. Kohansal; M. Ghorbani
Abstract
The purpose of this study, determining the optimal cultivation pattern by using Interval mathematical programming approach among the farmers of Esfarayen County before and after targeting the subsidies. For this purpose, Farmers based on water resources classified in three group of using the river water, ...
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The purpose of this study, determining the optimal cultivation pattern by using Interval mathematical programming approach among the farmers of Esfarayen County before and after targeting the subsidies. For this purpose, Farmers based on water resources classified in three group of using the river water, deep wells water and rainfed cultivation. The required data for this study has been obtained by using simple random sampling method and questionnaire completion from 207 farmers of this three category. The results of determining the optimal cultivation pattern in three categories indicated that the optimal cultivation pattern according to existing constraints in group of using river water is Onion cultivation before and after targeting the subsidies. In group of using deep wells water, optimal cultivation pattern before targeting the subsidies is cultivation of sorghum, irrigated alfalfa, sunflower and seed watermelon and after targeting the subsidies is cultivation of sorghum, irrigated alfalfa, cumin and seed watermelon. Optimal cultivation pattern before targeting the subsidies for rainfed cultivation is cultivation of Chickpea and Lentil. Also optimal cultivation pattern after targeting the subsidies in this group for α = 0 is cultivation of Chickpea, Lentil and Barley and for other value of α is cultivation of Chickpea and Lentil.
Research Article
Sh. Karrari Gharehbagh; B. Hayati
Abstract
In Urmia county, irrigated wheat yield varies in different regions. The highest and lowest yields are attributed to Nazloo region (6.58 tons per hectare) and the lowest yield was for Silvana region ( 2.77 tons per hectare) respectively. So, the purpose of this study is analysis of management factors ...
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In Urmia county, irrigated wheat yield varies in different regions. The highest and lowest yields are attributed to Nazloo region (6.58 tons per hectare) and the lowest yield was for Silvana region ( 2.77 tons per hectare) respectively. So, the purpose of this study is analysis of management factors impact on irrigated wheat yield in Nazloo and Silvana regions of Urmia county. To this end, by questionnaire for 159 formers using proportionate (number of farmers) classified random sampling method, statistical tests have been done and flexible yield functions have been estimated. The results of the yield functions showed that the highest elasticity related to educational skills index and planning skills index belonged to Nazloo region and the highest soil conservation index and technical skills index belonged to Silvana sector. So it is suggested that the farmers increase the yield in the region by learning the new method, increasing the levels of literacy and participating in extension classes.
Research Article
Research Article