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Showing 5 results for Agricultural Development
Aliakbar Taghiloo, Abdollah Abdollahi,
Volume 2, Issue 3 (6-2013)
Volume 2, Issue 3 (6-2013)
Abstract
The present study deals with agricultural development in rural areas as a phenomenon related to urban growth. This study believes in this hypothesis
that urban growth per say would motivate agricultural activities in surrounding rural areas .It aims to investigate the level of agricultural development resulted from rural-urban mutual relationships and interactions. The study area is composed of Azerbaijan major cities along with villages located in their vicinities and their sphere of the influences. Needed data related to livestock as well as orchard and agricultural products obtained from Bureau of census of the province .The level of agricultural development in relation to neighboring cities was determined using topsis model as well as correlation regression and their corresponding coefficients. This study suggests that there exists a significant relationship between size of cities and their corresponding level of agricultural activities in the hinterlands, taking into account the coefficient level (0.825) as well as significant level (95%). This study further supports this fact that 85% of the variation pertaining to the level of the agricultural development in thehinterlands is explained by city size variable.
Jamshid Eynali, Hosin Farahani, Samira Sohrabi Vafa,
Volume 2, Issue 3 (6-2013)
Volume 2, Issue 3 (6-2013)
Abstract
Lack of an appropriate utilization regarding factor of production namely land and water resources is among the most important agricultural
challenges .It is argued that land fragmentation consider as a major obstacle in this regard . In fact, land consolidation is said to be a reasonable and applicable solution. The major objective of this paper is to investigate the impact of land consolidation upon the improvement of efficiency regarding the application of factor of production in Khararood, Khodabandeh. The research method is based on descriptive-analytical method as well as documentation and interview with both observation and questionnaires nature. As such, out of 50 plans conducted during past two decades by co operation of 285 agricultural utilizers, 104 were extracted. Data analysis is based on k square, Pearson correlation, non parametric Vilkakson’s statistics, Friedman test and analysis of variance. This study suggests that the number of the consolidated unites are being changed due to implementation of the plan comparing to the prior period .This in turn left drastic changes upon the improvement of efficiency associated with the application of factor of production. However, from the typical agricultural utilizers’ view points, variables, income and costs pertaining to agricultural activities ,with the value of 0.498 and 0.024 have the most and the least impacts upon efficiency respectively.
Nasrollah Mullayi Hashjin, Siyavash Mullaee Pardeh,
Volume 3, Issue 8 (8-2014)
Volume 3, Issue 8 (8-2014)
Abstract
Agricultural sector taking into account its high potential with respect to creation of value added as well as job opportunities from one hand, and provision of food security and its economic capabilities on the other hand has very predominant role in national economy. The identification and investigation of agricultural capabilities as well as the determination of development level are the first step with regard to agricultural planning. This study utilized Morris model along with centrality index in order to determine the extent of agricultural development on Khuzestan’s counties. The major objective of this paper is to found out the existing gap and deprivation level among the counties. The research method is based on descriptive-analytical technique. The statistical society is composed of all Khuzestan’s counties. 29 indices correspond with agricultural development were extracted from agricultural year book of 1388. This study suggests that there exist a major gap and imbalances among different relevant countries counties with respect to agricultural activities. Find score for the most prosperous county, Baghmalek, according to Morris and centrality indices is amounted to be 53.54 and 286 respectively. However, the associated figures for most deprived county that is Abadan, is 14.87 and 65.69. Taking into consideration the computed final score, the difference between the most deprived county as opposed to the least one is approximately four folds. It follows by some measures and suggestions for planners regarding the eradication of discrepancies and inequality.
Aliakbar Najafi Kani, Esmaeil Shahkooei, Masomeh Molaei,
Volume 5, Issue 16 (8-2016)
Volume 5, Issue 16 (8-2016)
Abstract
Introduction
Todays, the importance of agricultural development and putting more value on it, unlike past days, is concluded from the fact that in the process of economic development program, an increasing attention is given to social welfare goals in addition to other goals of increasing revenue. In every society, at times of population increase, the increase of agricultural products, which is in direct relation with the rate of population increase, requires an increase of the productivity in existing lands relying on the improvement of farming techniques and irrigation systems. Basically, agricultural development means a transition of traditional techniques to modern industrial ways of production which includes top modern agricultural techniques like planting and harvest methods and the use of agricultural machinery. Agricultural mechanization is a new approach of providing the situation of promoting from traditional to modern agriculture. Additionally, it is considered as the most useful factor to help us achieve our goals of rural development. Machinery technology development is a matter of great importance in rural development strategies. Using technology in the process of rural development can lead to the elimination of barriers to production. As mechanization causes less difficulties and more money from agricultural activities, it makes farming more fascinating for villagers and stimulate them to continue their farming activities and prevent them continuously move to the cities. In this research, we are investigating possible consequences of mechanization and its effect on rural development of south Astarābād to find answers to the following questions:
1) Is there any connection between agricultural mechanization with productivity and improvement of agricultural economy?2) To what extent has agricultural mechanization affected promoting of social components such as reducing immigration and increasing farmers' tendency to stay in rural districts?
3) Is there any relation between official policies or responsible organization and agricultural mechanization?
Methodology
This is an applied research which has been done using descriptive- analytical approach in a field study. For data analysis and interpretation, independent T test, Mann Whitney test, and the process of correlation analysis have been applied in SPSS software. Statistical population of the research consists of two types of agricultural households, a group of more mechanized households and another group of less mechanized ones, from 22 villages located in rural district of South Astarābād. A number of 10 villages (including 6 plain villages and 9 mountain villages) were chosen as sample society based on the total number of 6423 households and homogeneity of the villages in terms of geographical features. Using Cochran formula, the sample size of the society (190 households) was determined. Considering the population of each village, their participation in answering the questionnaires was determined. Questionnaires were delivered among different households in a simple random sampling way.
Discussion and conclusion
By its effect on timely agricultural operations and reducing production costs, agricultural mechanization plays an effective role in increasing revenues and consequently improving economic level and quality of life for agricultural uses. According to the results from the questionnaires a significant relation of a top confidence level (95 or 99%) is confirmed between agricultural mechanization with productivity and improvement of economic and social components. In this regard, the government plays a key role in the development of mechanization infrastructures such as integration, leveling, land drainage, giving low-interest loans and making decisions for agricultural institutions. Considering the fact that lower participation and self-help of operators and lack of education and awareness of the benefits of mechanization are the most important factors affecting the failure of the government and people in promoting mechanization, an overall management and programming by the government is inevitable to help us achieve our goals. The followings are suggested for the improvement of mechanization.
By its effect on timely agricultural operations and reducing production costs, agricultural mechanization plays an effective role in increasing revenues and consequently improving economic level and quality of life for agricultural uses. According to the results from the questionnaires a significant relation of a top confidence level (95 or 99%) is confirmed between agricultural mechanization with productivity and improvement of economic and social components. In this regard, the government plays a key role in the development of mechanization infrastructures such as integration, leveling, land drainage, giving low-interest loans and making decisions for agricultural institutions. Considering the fact that lower participation and self-help of operators and lack of education and awareness of the benefits of mechanization are the most important factors affecting the failure of the government and people in promoting mechanization, an overall management and programming by the government is inevitable to help us achieve our goals. The followings are suggested for the improvement of mechanization.
- Strong support of the government for infrastructure development of agricultural mechanization such as land consolidation, irrigation channels, land leveling and drainage, irrigation development, and construction of roads between farms;
- Reducing official bureaucracy and granting low-interest loans by banks to promote agricultural mechanization;
- Holding training and educational coursed for the introduction of proper use of machineries and their technology to the farmers.
- Reducing official bureaucracy and granting low-interest loans by banks to promote agricultural mechanization;
- Holding training and educational coursed for the introduction of proper use of machineries and their technology to the farmers.
Dadollah Behmand,
Volume 9, Issue 34 (2-2021)
Volume 9, Issue 34 (2-2021)
Abstract
Introduction
Failure to recognize the state and bottlenecks of agriculture is a serious obstacle to the balanced distribution of resources and the comprehensive planning to address less developed areas. Understanding these issues and developing appropriate programs to eliminate or reduce them include: improving agriculture, optimizing the potential of the agricultural sector, increasing production, increasing farmers' incomes, consolidating rural populations, and promoting the agricultural development of the region. This requires determining the developmental levels of the studied area in terms of agricultural development indicators in order to analyze the agricultural situation in the region. Therefore, in order to be more precise in planning and achieve sustainable agriculture development, it is necessary to identify agricultural areas regarding development and inadequacy. Hence, measuring the level of agricultural development in different areas, with regard to natural capacities and institutional constraints and management conditions, is of particular importance in recognizing the regional differences in development, special talents, deprivations and inequalities. In this way, agricultural development planning is orientated appropriately in terms of area urgency, volume of investments, types of programs and actions, thus, balanced management and planning of agricultural development requires recognition.
Materials and methods
The type of research is applied and developmental and its method is descriptive-analytical. The statistical population is 8 counties in Kohgiluyeh and Boyer-Ahmad Provinces based on the census of 2016. The required information is collected from the Statistical Yearbook (2016), the organization of Agriculture-Jahad, the Agricultural Census and the Organization of Statistics. The studied indicator is agricultural in this research which consists of 34 variables. Also, the selection of variables in a way that emphasizes all aspects of the agricultural index (manpower, infrastructure, mechanization, health, etc.) are emphasized. The weight of each of the variables is determined by the AHP method (Pair-wise copmarison). In this research, SPSS, Excel and quantitative programming models (VIKOR, TOPSIS and SAW) were used to analyze the data of agricultural development in the provinces of the region. Given the fact that the results of these three models were not consistent in some cases, a general consensus was used for the Copeland method. Finally, in order to proper understanding of the development situation in the county, development maps are drawn using the GIS software.
Results and discussion
The results of this study indicate that in the TOPSIS model there is no county in the province with a very high development status. Bahmei and Boyerahmad counties are in relatively agricultural developed condition, Kohgiluyeh, Cheram and Dena in the situation and finally 37/5 percent of the counties, namely, Basht, Gachsaran and Landie counties are relatively deprived and undeveloped in terms of the agricultural index. The analysis of the results of the Vikor model showed that Boyerahmad with a value of 0/091 is in the first rank of agricultural development and in a fully developed state, Kohgiluyeh and Bahmei counties ranked second and third with respectively 0/245 and 0.296 scores and their situation is relatively developed. The most of the counties Charm, Dena and Lange, are numerically equal to 0/409, 0/487 and 0/584 respectively, ranked fourth to sixth, Gachsaran county with the score of 0/712 is ranked seventh and the development status is relatively deprived, and eventually the county of Basht with a numerical value of 1 is ranked 8th and a very unfavorable condition (completely deprived). Also, the results of the SAW model indicate that Boyerahmad County (rank 1) is in a very high development status.
The present study was carried out using agricultural index in the form of 34 variables that were not included in any of the researches done in Kohgiluyeh and Boyer Ahmad Province, while presenting realistic findings on the state of development of the agriculture, rational realism for planners - urban and regional, both at provincial level and at country level. A review of the research background and research findings suggest that the results of the study are credible and confirm the results of previous surveys. The findings of the research indicate the agricultural development gap among counties of the province. The results of this study homogeneous with other researches of Fotros & Baheshti Far (2009), Kohnalsal and Rafiee (2010), Jamshidi (2011), Tavakoli (2012 and 2014), BabaeiAgdam et al (2016).
The study of the development condition of agricultural areas of the county using the integrated model showed that in the counties of the province, there is no one with a very high agricultural development status. The county of Boyer Ahmad has a score of 0/797 in the first rank (relatively developed) and the county of Basht with a difference of 0/653 and a combined index of 0/44 in the eighth place (the state is totally deprived of development). Also, 37.5% of the counties (Boyerahmad, Bahmei and Kohgiluyeh) were relatively developed, 25% of the counties (Dena and Chram Counties) were in moderate development, 25 percent (Gachsaran and Lande Counties) were relatively deprived, and, finally, 12.5% of the them (Basht) are totally deprived.
Failure to recognize the state and bottlenecks of agriculture is a serious obstacle to the balanced distribution of resources and the comprehensive planning to address less developed areas. Understanding these issues and developing appropriate programs to eliminate or reduce them include: improving agriculture, optimizing the potential of the agricultural sector, increasing production, increasing farmers' incomes, consolidating rural populations, and promoting the agricultural development of the region. This requires determining the developmental levels of the studied area in terms of agricultural development indicators in order to analyze the agricultural situation in the region. Therefore, in order to be more precise in planning and achieve sustainable agriculture development, it is necessary to identify agricultural areas regarding development and inadequacy. Hence, measuring the level of agricultural development in different areas, with regard to natural capacities and institutional constraints and management conditions, is of particular importance in recognizing the regional differences in development, special talents, deprivations and inequalities. In this way, agricultural development planning is orientated appropriately in terms of area urgency, volume of investments, types of programs and actions, thus, balanced management and planning of agricultural development requires recognition.
Materials and methods
The type of research is applied and developmental and its method is descriptive-analytical. The statistical population is 8 counties in Kohgiluyeh and Boyer-Ahmad Provinces based on the census of 2016. The required information is collected from the Statistical Yearbook (2016), the organization of Agriculture-Jahad, the Agricultural Census and the Organization of Statistics. The studied indicator is agricultural in this research which consists of 34 variables. Also, the selection of variables in a way that emphasizes all aspects of the agricultural index (manpower, infrastructure, mechanization, health, etc.) are emphasized. The weight of each of the variables is determined by the AHP method (Pair-wise copmarison). In this research, SPSS, Excel and quantitative programming models (VIKOR, TOPSIS and SAW) were used to analyze the data of agricultural development in the provinces of the region. Given the fact that the results of these three models were not consistent in some cases, a general consensus was used for the Copeland method. Finally, in order to proper understanding of the development situation in the county, development maps are drawn using the GIS software.
Results and discussion
The results of this study indicate that in the TOPSIS model there is no county in the province with a very high development status. Bahmei and Boyerahmad counties are in relatively agricultural developed condition, Kohgiluyeh, Cheram and Dena in the situation and finally 37/5 percent of the counties, namely, Basht, Gachsaran and Landie counties are relatively deprived and undeveloped in terms of the agricultural index. The analysis of the results of the Vikor model showed that Boyerahmad with a value of 0/091 is in the first rank of agricultural development and in a fully developed state, Kohgiluyeh and Bahmei counties ranked second and third with respectively 0/245 and 0.296 scores and their situation is relatively developed. The most of the counties Charm, Dena and Lange, are numerically equal to 0/409, 0/487 and 0/584 respectively, ranked fourth to sixth, Gachsaran county with the score of 0/712 is ranked seventh and the development status is relatively deprived, and eventually the county of Basht with a numerical value of 1 is ranked 8th and a very unfavorable condition (completely deprived). Also, the results of the SAW model indicate that Boyerahmad County (rank 1) is in a very high development status.
The present study was carried out using agricultural index in the form of 34 variables that were not included in any of the researches done in Kohgiluyeh and Boyer Ahmad Province, while presenting realistic findings on the state of development of the agriculture, rational realism for planners - urban and regional, both at provincial level and at country level. A review of the research background and research findings suggest that the results of the study are credible and confirm the results of previous surveys. The findings of the research indicate the agricultural development gap among counties of the province. The results of this study homogeneous with other researches of Fotros & Baheshti Far (2009), Kohnalsal and Rafiee (2010), Jamshidi (2011), Tavakoli (2012 and 2014), BabaeiAgdam et al (2016).
The study of the development condition of agricultural areas of the county using the integrated model showed that in the counties of the province, there is no one with a very high agricultural development status. The county of Boyer Ahmad has a score of 0/797 in the first rank (relatively developed) and the county of Basht with a difference of 0/653 and a combined index of 0/44 in the eighth place (the state is totally deprived of development). Also, 37.5% of the counties (Boyerahmad, Bahmei and Kohgiluyeh) were relatively developed, 25% of the counties (Dena and Chram Counties) were in moderate development, 25 percent (Gachsaran and Lande Counties) were relatively deprived, and, finally, 12.5% of the them (Basht) are totally deprived.
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