This study aimed to quantify the impact of crossbreeding at farm level, in mixed farm systems in Gujarat. Households with crossbred cattle did not differ from households without crossbreds in terms of farm resources, crop gross margins and off-farm income. The use of crossbred animals did increase livestock gross margins by 64% and household income by 22%. The three agro-ecological zones included in this study differed considerably according to farm system and household income. However, in all three zones, households with crossbreds had higher livestock gross margins than households without crossbreds. There was no real difference in work load and labour division between households with and without crossbreds. There was also no difference in the use of bullocks for draught purposes between the two types of households. In particular buffaloes are being replaced by crossbred cattle. There was a large variation in farm income, largely because of land area. The milk offake per average cow and the number of buffaloes also related positively to farm income in both types of households. Crossbreeding has proved technically and financially viable in different Gujarat mixed farming systems. It can be concluded that crossbreeding is an important development option for landless farmers.
Korea has been striving for the development of the nation in various aspects. It will also have to make an effort for its continued development in the future. The problems of low-income groups that occur in those processes cannot be simply ignored now. It is needed to provide an equal opportunity to low-income groups so that they can be part of the society. The cycle of economic problem should be disconnected through this process. Farm-Housing is one of the solutions to this problem. Its purposes are not only to provide residence in the complex, but to gain income through various activities, such as production, distribution and consumption, and solve part of the economic problems of the people living in the Farm-Housing. To sell the products of Farm-Housing, the neighboring cities need to be designated as a hinterland. For this reason, Farm-Housing needs to be located in the suburban area of large cities. However, the current laws and policies make it difficult to construct Farm-Housing in suburban areas. Presenting plans to solve such problem is the purpose of this paper.
Organic agriculture seeks sustainable agriculture. Organic agriculture is based on circulating agriculture of a family farm unit. However, as of the end of 2016, only 33 out of the total organic farming farms were implementing Crop-Livestock cycling organic farming. The reason seems to be a matter of income after all. The optimal size combination refers to the scale by which family farms can maintain their quality of life while engaging in farming activities. In other words. it is a farm scale that maintains optimal income through stable labor costs. In the meantime, there has been no previous study on the optimal economical combination of Crop-Livestock cycling farming. Choi (2016) analyzed whether the economies of scope (EOS) were realized in the combined production by using the management data of the farmers who practiced Crop-Livestock cycling organic farming for four years. As a result, it has been revealed that the EOS measurement value is 0 or more so the economies of scope are being realized. Therefore, the purpose of this empirical analysis is to identify farm incomes under this circumstance. It is assumed that the optimum production is achieved by balancing the total income curve and the total cost curve in the optimal scale production range. The results of the analysis are as follows. First, the income after the conversion to Crop-Livestock cycling farming was 44,789,280 won, the sum of the seedling-livestock sector, which was 17,873,120 won higher when the non-Crop-Livestock cycling farming was assumed. The same is true for 2014 and 2015. The reason for this is that pig droppings were composted from organic seedlings, and the cost of selling pork was 150,000 won/per pig more expensive even though the manufacturing cost of organic feeds was higher than the purchasing cost. Secondly, this study simulated the result that the economic index varies when the farm size combination is changed by the farm size of 100% standard (S100) as of 2014. S130 is the increase in size from 100% of 2014, whereas S30 is the result of 3ha crop and 66 livestock (pigs). As a result of this simulation, Crop-Livestock cycling farming income decreased more than non-Crop-Livestock cycling farming as the farm size decreased, whereas the income decreased as the farm size increased. When the size was reduced below S50, the income tended to decrease. In this situation, EOS changed in the same direction. The results showed that when the farming size was reorganized and reduced to 50% compared to 2014, the income and income difference was the highest. At the same time, economies of scope (EOS) were the highest at 0.12985. In other words, it was found that the income of farm houses in a family farm unit sector was the best in the combination of 1.5ha crop agriculture and 110 livestock (pigs).
International journal of advanced smart convergence
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제10권4호
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pp.98-103
/
2021
Recently, as the need for food resources has increased both domestically and internationally, support for the agricultural sector for stable food supply and demand is expanding in Korea. However, according to recent media articles, the biggest problem in rural communities is the unstable profit structure. In addition, in order to confirm the profit structure, profit forecast data must be clearly prepared, but there is a lack of auxiliary data for farmers or future returnees to predict farm income. Therefore, in this paper we analyzed data over the past 15 years through time series analysis and proposes an artificial intelligence farm income prediction algorithm that can predict farm household income in the future. If the proposed algorithm is used, it is expected that it can be used as auxiliary data to predict farm profits.
This case study surveyed management situations of environmentally friendly farming (EFF) and their awareness situations. Farmers are aging as an average age of 62-year old. The EFF did not increase farmer's income, however, farm income of EFF was more than that of conventional farming. Farm household liabilities showed large deviation among farmers. Livestock and greenhouse farm households have more liabilities because of facilities and feed cost. Farmers of EFF have been also cultivating conventional farming, but they don't plan much conversion intention of conventional farming into EFF owing to lack of differentiated and stable market for their environment-friendly agriculture products. And they are guessing that EFF income will usually not increase more. For increasing of EFF income, they think that it is necessary to enlarge production area, change to high-income crop, develop processing foods, change to organic farming and so on.
This study determined the economic impact of environment-friendly cultivation and the optimal cultivation area of Omija (Korean for Schisandra chinensis Baillon) for full-time farmers by analyzing the management performance of existing Omija cultivators. The study divided the target income into urban household income and Omija farm income, and estimate the optimal cultivation area by substituting the target profit from the cost-volume-profit analysis model. The optimum cultivation area was 1.4 ha for general cultivation, 1.08 ha for organic cultivation, and 1.18 ha for pesticide-free farming cultivation considering the average urban household income as the target, and 0.81 ha for general cultivation, 0.63 ha for organic cultivation, and 0.69 ha for pesticide-free farming, considering the average 2012 farm household income as the target. Therefore, the study reached conclusion that it is necessary to secure the price of Omija farm and stable support for income increase. Therefore, the support plan for income stabilization of Omija farm should be considered. Especially, the central government should provide various policies and financial support to help the optimal cultivation area of Omija Farm.
The Journal of Asian Finance, Economics and Business
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제10권2호
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pp.257-265
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2023
This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households' income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.
The purpose of this study was to analyze clothing expenditure patterns of urban, rural/farm, and rural/non-farm households. A sample of 23,994 households was selected from the 1996 National Survey of Household Income and Expenditure, and 1996 Farm Household Economy Survey. Frequency and regression analyses were used. Major findings were: 1) clothing expenditure of rural/farm households were significantly lower than that of urban and rural/non-farm households; 2) in terms of clothing expenditure by categories, urban and rural-non-farm households have similar expenditure pattern; 3) clothing expenditures relative to income were lower than 1 for all three groups; 4) clothing expenditures relative to total income for urban and rural/non-farm households were higher than 1, while that for rural/farm households was lower than 1; 5) a major factor explaining clothing expenditure differences between urban and rural consumers was the household head's occupation.
The internal and external outputs of the agricultural sub-systems of mixed livestock-crop farms in Pabna Bangladesh were analysed, to clarify the multiple functions of cattle in farm systems. Production systems with grazing areas were relatively more productive than those with no grazing. There was a tremendous variation in farm income, largely because of land area. An increase of one ha in land area was estimated to boost farm income by about 50%. Number of cattle, cattle off-take percentage and milk off-take per average cow related positively to farm income. As land area decreased the relative importance of cattle production increased. Crops were dominant in producing food for home consumption. Cattle contributed only 5-6 per cent to home consumption. Cattle supplied a significant cash income: 45 per cent in the villages with grazing areas and 57 per cent in the other villages. In future, the cash output from cattle will decline and emphasis will shift to the role of cattle in supporting crop production. Any research or development strategy for livestock needs to focus first on the importance of the complex relation between livestock and crops.
Producing organic farm products is one of the high-payoff farming practices considering the rapid increase of consumer's purchasing power. The purpose of this study is to identify the optimal organic farming system in relation to farm income. To cope with the above objectives, present farming conditions and profitability of 15 farmers producing organic products including rice and leaf vegetables as lettuse and cabbage were surveyed in Hongsung and Ahsan Gun, Chungnam Province. Based on the surveyed data, maximization of organic farm income were analyzed under the constrained conditions such as limited monthly labour inputs and competitive use of land by Linear Programming Model. The results of this study can be summarized as follows. 1. In the profitability analysis of 15 farmers producing organic products, rice farmers could earn their farm income more than that of conventional farmers by 50%. On the other hand, the controlled lettuce farmers could get more about 100% than that of it. But the controlled cabbage farm could get more about 40% of it. These organic farm products were saled at high prices comparing with the prices of conventional farm products by 170% ~ 230% even though the crop yields produced by organic materials had decreased. 2. According to the labor requirement of the organically produced crops, rice cultivation was needed more labour inputs than the conventional farming method by 130%. On the other hand lettuce and cabbage could saved labour requirement by 40% and 80% of those respectively. Especially for the rice cultivation concern, higher labor requirement was due to the activities as organic fertilization, soil preparation and pest and weed controll, etc. 3. With the surveyed data from farmers who produced farm commodities, L.P. analysis was implemented to find out the optimul farming system and the maximum income. According to the results of L.P. analysis, 58% of total farm income could get more than the conventional farming system In the case of rice cultivation, one ha of paddy was recommendable to save more labour inputs than the controlled leaf vegetables such as lettuse and cabbage. However, in the controlled leaf vegatables, only 73% of total upland equivalent to 0.3 ha should be cultivated under the condition of labor shortage as the restricted 4 workers. And increasing the size of hogs raising should be recommened to achieve self-sufficiency of organic fertilizer. As pointed out the possibility of organic farming, present farmers producing organic farm products could be able to maximize their income by expanding organic farm size with regard to all conditions of our organic industry. Of course, there are many difficulties in the course of developing organic agriculture. So Government should effort to support the development of our organic agriculture considering the various aspects of production, marketing, Quality certification of organic produces.
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