processing industries

Due to the importance of agricultural processing industries as one the engine of agricultural development in particular, economic and industrial development in general, it is important to identify sources of agricultural processing industries growth from policy planning view. Foreign Direct Investment (FDI) is one of the things that, must study its impact on agricultural processing industries properly. To address this problem, the holistic approach (system thinking) used to study the impact of existence of infrastructure on investment growth, in this article. System Dynamics (SD) method used in this article as a tool for the implementation of system thinking approach to use its capabilities in complex systems modeling and for achieving suitable results from simulation model. The population under study is Fars province's agricultural processing industries. Period of study is 1360-1410. Vensim software used for modeling and simulating in this article. The results from the simulation of designed model showed, there is direct and interactive relationship between FDI and amount of investment in the agricultural processing industries. Although the delay affects this relationship.

Agricultural processing industries are an integral part of industry and agriculture, hence its development have a high priority in value chain of agricultural production. The present study identifies the strategies for the development of the value chain of pomegranate using SWOT and QSPM. The results showed that the “high area under cultivation of ​​pomegranates” is the most important strength, "small and scattered pomegranate gardens" is the most significant weakness; "the potential of integrated agricultural land and orchards" is the most important opportunity, and "implementation of the targeted subsidy plan and the lack of willingness of youth to be a worker" is the most important threat of development of the pomegranate value chain in the Mahvelat county. With the help of a quantitative matrix, the strategies of maximum-maximum (SO) were selected. In this matrix, the strategy of "creating pomegranate processing industries" has priority for the production of processed products and more value added for farmers in order to develop of pomegranate value chain in Mahvelat county.

The development of Rural Food-Processing Industries can play an important and constructive role in increasing the income and promoting the livelihood of the villagers as the main contributors to food production and organizing the economic situation of the villages. These industries are very important solutions to balance and respond to challenges such as poverty and low income, urban and rural imbalances, low-income agriculture, migration, labor supply and food security, but they are facing with problems that have not been able to develop in terms of production, rural entrepreneurship and employment. This research was carried out with the aim of problems Identification of Rural Food-Processing Industries in Kaboudarahang Township of Hamadan province. The study population consisted of 79 units of rural food processing industries in kaboodarang County, Hamadan province that using purposeful sampling method and snowball technique. Data collection techniques were semi-structured interview. Based on the data analysis, the studied Food-Processing Industries had numerous problems in financial and credit, legal, organizational, marketing, educational, managerial aspects. The other major problems were the existence of speculators and unauthorized competitors and natural disasters. Finally, suggestions were given by unit owners about the problems.

With the establishment and expansion of agricultural processing industries; it is possible to minimize agricultural wastes as well as creating employment for villagers to improve the income of the villagers in the region and prevent their migration to other cities. Accordingly, the present study aims to review processing industries in Guilan province and determining the priority of creating these industries. For this purpose, after reviewing the current conditions of rural processing industries in this province and their raw materials (agricultural products), and using the Analytical Hierarchy Process (AHP) and using nine indicators (including employment, value added, productivity, capital formation, waste reduction, increased exports, reduced imports, environmental protection and availability of raw materials in the province); we tried to prioritize processing industries in agricultural sector of Guilan province. This prioritization is conducted in general into four main categories of such industries (garden products, agricultural products, livestock and fisheries) and also in partly subgroups of each of the four main groups using the comments and suggestions of the 10 most experienced experts in the province that were in the acceptable range of the AHP method. The results of the research showed that priorities of the processing industries in this province are as follows in contrary to existing conditions: garden products, fisheries, livestock and agricultural products. The three priorities of the garden products sector are fruit processing, tea production and packaging, cold storage, and for fisheries sector, the priorities are producing canned fish, fish products and producing powder of fish and/or other aquatic animals. In the livestock sector, the priorities are production of dairy products, slaughterhouses and production of meat products and ready-to-cook foods. And finally, in farming sector the priorities are rice field and packing, preparing feed for livestock and poultry and oiling from agricultural crops. Increased investment in the processing industries of garden products, fisheries and livestock; respectively; can help in achieving the goal of reducing wastes and increasing employment and rural incomes.

At recent decades, Non-wood forest products (NWFPs) have been considered as one of the important components in sustainable forest management and poverty reduction of local communities. These products are a sustainable income source for local people beside of other income source such as agriculture and animal husbandry. This factor create engagement and incentive to protect forests as sources of sustainable. Understanding the importance of these products without knowing the species and characteristics of quantity and quality of production of these species will be impossible. The aim of this study was to estimate the amount of production, the economic importance of these products in household’s income in three forest villages at Rudsar county of Guilan province. In this study, two methods were used. At first, inventory was used for estimating of fruit production and at second the socio-economic survey was done using questionnaire. Inventory was done systematically randomly with 30 samples with dimensions of 100 by 100 meters (one hectare). Within each sample, the nearest tree to the plot center was selected to measure the amount of production fruit. At the socio economic surveying 120 households at three villages was censed by the semi-structured interviews and direct observations in summer 2015. The results showed that the fruit production of each tree was about 25 kg. Based on the number of Diospyros lotus species per hectare (17 trees), about 425 kg fruit per hectare was produced. Total fruit collected by households of three villages of Lusara, Nurmash, and Siyahgal Chal was 3880 kg. The average annual harvest of households was 32 kg. Gross annual household income from fruit harvested varied from 230 to 2100 thousand Rials. The expected value of forest from fruit sources was 6050000 Rials per hectare. The fruit collection create employment for 15 person’s day annually. These products create a good income for households. But at the current situation, the share of income of these products was relatively low. In addition to income, it is led to creating the employment opportunities. According to high addition value of processing operations, processing has been stated as a main income source. Establishing the local cooperative, holding educational courses, setting up the processing factories can increase income of households from these products.

Several studies have showed the positive effects of locating industries in rural area to improve the socio-economic status and it is considered as a reason for rural and national development. The purpose of this study was to analyze study of agroprocessing industries effects on the status of life in the rural area in Bahar County. The research type was the applied descriptive. The target population consisted of households that live in the rural area of Bahar County. For the study of agroprocessing industries effects, ten villages (five villagesthathave agroprocessing units, and five villages that do not have agroprocessing units) were selected as the society of samples. The used sampling method was Multi-stage cluster sampling technique to consider household ratio in the villages and the number of samples was calculated by using the Cochran formula (N=3249, n=353). The research instruments were questionnaires whose validity was confirmed by a panel of faculty members. Reliability was measured by Cronbach's alpha (α=0.899) and showed that the reliability of the questionnaire was acceptable. The results suggest that the agricultural industries in rural areas have a positive impact on the welfare facilities. The research findings showed that the agroprocessing industry led to significant differences in the quality of life between the two groups of villages, so that quality of life of the villages with agroprocessing industries was higher the others. The results showed that the establishment of industries in rural areas leads to agriculture boom and similar products by villagers causes their income to improve.

The aim of this research was to investigate the effect of processing industries on reducing agricultural products’ wastes. A causal- comparative research method was used for this purpose. According to experts’ opinions, two villages (with & without processing industries) were selected. Sample size was determined as 330 ones using Krejcie and Morgan table and stratified sampling with proportional allocation. A research-made questionnaire was used to collect datawhich itsvalidity was confirmed by experts’ view and its reliability measured by calculating Cronbach’s alpha coefficient. The result of the research showed that agricultural products’ wastes in village with processing industries are less than it in village without processing industries. Other results showed that post-harvest wastes have reduced two percent because of processing industries. Furthermore, storing and preserving wastes have reduced 6. 67 percent due to processing industries. Moreover, agricultural food processing wastes have diminished 11. 67 percent. Finally, these industries cut down 23 percent of transiting and distributing agricultural wastes. According to the results of this study, the most effect of processing industries on reducing agricultural products’ wastes was in transiting and distributing stage and the least effect was in post-harvest stage.

Processing industries with the aim of and increasing the added value reducing the waste of agricultural products, promotion of productivity, employment, non oil exports, food security as well as sustainable development in agriculture has started to develop in Iran since 1998. The objective of the present study is to examine the main factors affecting physical progress of those processing firms that had been awarded business permits in Zajan province. Required data were collected from a survey of 20 food processing firms in Zanjan province during 1998-2010. A number of related statistical tests were applied to determine the factors affecting performance of the processing firms involved in the study area. The results indicate that such factors as a lack of credit facilities, lack of the needed machinery, shortage of currency, lack of specialized in the field experts, low related knowledge of managers as well as high inflation rates were some of the main factors that have had their significant impact on failure of the processing firms to have their operations begun.