In rural area, as the source of family income is related with the agriculture works, the living condition of non-farming family used to be lower except some family groups with a little higher income. In order to find out the improvement in rural life, data about the health behavior and diet habits of non-farming family were observed. This study evaluated the health behavior and diet habits of non-farming families by comparing them with those of the farming families in rural area. The survey was made by trained interviewers and a total of 1,870 subjects from 9 provinces were questioned to collect the data through sampling probability proportional to size. The non-farming families were $29.6\%$ of the total and they were with no spouse($38\%$), low number of family members(2.86), and aged husband(66.8 years) or wife(58.5 years). $83.1\%$ of the non farming families were having breakfast however, $95.1\%$ of the farming families were doing it. And the number of side dishes in non farming families was low(1-2 kinds: $17.7\%$). Out of non farming families, $47.3\%$ took no nutritional supplements and out of the farming families it was 40.8 $\%$ With regard to having snacks, $22\%$ of non-farmers had snacks daily and it was greater than that of farmers($16.6\%$). But the ratio of non-snack taking of the non-farmers($29.6\%$) was higher than that of farmers($24.5\%$). The sorts of snacks also varied and for farmers it used to be fruit and noodles and for non-farmers it was bread and milk. Instant foods were often selected by $35.6\%$ of non-farmers. Dining out with a frequency of once per month was reported in $23.2\%$ of non-farming families, but $47.6\%$ of them did not dine out at all. In case of food production for family consumption, small portion of non-farmers cultivated pepper($13.3\%$), Korean cabbage ($16.2\%$), and sesame($6.2\%$) but almost all of the farmers cultivated such crops. However, non-farmers produced soybean sprouts($0.7\%$), soybean curd($0.2\%$), and eggs($7.2\%$) and it was compared with the fact that farmers produced soybean sprouts($9.7\%$), soybean curd ($4.6\%$), and eggs($5.1\%$). Non-farmers stocked the fermented foods: Doenjang ($57.8\%$), Kochujang ($56.1\%$), Kanjang ($53.6\%$), Kimchi ($77.9\%$) and Jangajji ($37.2\%$), and this ratios were smaller than those of farmers: Doenjang ($93.6\%$), Kochujang ($92.9\%$), Kanjang ($87.9\%$), Kimchi ($97.7\%$) and Jangajji ($66.7\%$). As to health behavior of the subjects, non-farmers had less medical examinations and bathing than farmers did. Non-farmers and their wives used public bath facilities more often and it may be due to the low condition of bathing facilities. And the ratio of daily alcohol consumption was $15\%$ and it was higher than that of the farmers. Most of the spouse of the farmers did not drink($78\%$), but the wives of the non-farmers were drinking more frequently. More farmers smoked than non-farmers and $45\%$ of male farmers were smokers.
Purpose: The purpose of this study was to analyze the factors influencing the housing satisfaction of the new middle-aged who returned to farming to derive the implications of real estate policies to resolve regional imbalances. Research design, data and methodology: As a result, this study used secondary data, housing survey data, and identified factors influencing housing satisfaction through multiple regression analysis as well as basic analysis such as exploratory factor analysis, reliability analysis, technical statistics analysis, and correlation analysis. Previous studies, in particular, mainly focused on aging, retirement, economic activity, and retirement preparation, but this study was able to derive predictive factors that can increase the persistence of living after returning to farming by analyzing housing satisfaction for the new middle-aged, and as a result, suggest implications for resolving regional imbalances. Results: As a result of the analysis, it was found that housing structure status had the greatest influence among the three factors of housing-related predictors: housing structure status, facility accessibility, and surrounding environment, suggesting that policy alternatives that can improve the quality of the housing structure itself should be prepared rather than facility accessibility and the surrounding environment. Conclusions: Based on these results, we discussed implications for improving the housing structure to increase the continuity of living for the new middle-aged after returning to farming, and presented follow-up research directions on the need for complementary research in addition to individual analysis of influencing factors, limitations of secondary data, and the lighting of research on the new middle-aged and other generations who did not return to farming.
This study examined sex-role attitude, conjugal status level and status satisfaction of rural married women as a part of study on problem diagnosis and status enhancement of Korean rural women. The subjects were 919 married farming women. Data were analyzed by frequencies, percentages, mean, standard deviation, t-test, ANOVA, Scheffe multiple range test, and stepwise multiple regression analysis. The major findings were as follows : 1) Rural womens sex-role attitude were conservative attitude. 66.7% of them conceived that their husband had more conservative attitude than them. Variables as age, education level, and farming work type were significant related with sex-role attitude. 2) Conjugal status level (housework sharing, domestic decision-making, agriculture decision-making, property rights) of rural women were low and not equal. It was affected by sex-role attitude, the proportion of their work to family farming work, similar/different type of sex-role attitude of couples, and their farming work type. 3) Their status satisfaction were low and affected by factors such as similar/different type of sex-role attitude of couples, conjugal status level, sex-role attitude, their farming work type, and education level.
Various government-based consulting techniques are being adapted to increase competitive power and to achieve management innovation of Korean farms. These business consulting services are offered by free or paid consulting. This study focuses on what socio-economic characteristics are affecting farmers' intension of adapting consulting services, based on 169 surveyed data from Chunchungnam-do. Logit Model is used to identify the relationship between the probability of consulting intent and factors representing farm characteristics. The model was applied on each of free and paid consulting. According to the results, degree of consulting recognition, age, education, raised crop are significant factors affecting farmers' intension of adapting consulting service in the case of free consulting at 10% of significance level. In the case of paid consulting, level of farming, age, income, insufficiency of farming, and education were identified as significant factors. In terms of elasticity of each variable, most variables for free consulting service are inelastic to consulting intent, whereas age, level of farming, and education are elastic for paid consulting service. Overall results implies that more public relations are required to activate free consulting services for the farms with moderate level of farming. In the case of paid consulting, it is effective to adapt consulting services for younger farms with higher level of farming and education.
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.
Theoretically, it is said that economies of scope can be realized in the cropelivestock cycling organic farming. Thus, it is also used as the principle of organic farming. However, it is difficult to find the cases of the empirical analysis of it in Korea. In that sense, this study is meaningful in that it analyzed the agricultural data of case farms of obtaining the approval of both organic agricultural products and organic animal products and practicing cycling farming for 4 years and tested the hypothesis. This study measured economies of scope by using the actual measurement value and estimation value farming performance statistics for 4 years of case farms. This farmhouse conducted nutrient cycling in the farm like self-manufacturing and injecting organic agricultural byproduct and wild grass as organic livestock feed and fermenting organic livestock manure to organic compost to return it 100%. The results can be summarized as follows: According to the result of cycling farming of combining and producing organic agriculture and organic livestock, economies of scope were found to be realized in this case farmhouse. That is, although not strong, EOS>0, there were economies of scope. The measurement value appeared as 0.0722, 0.00378, 0.04667 and 0.13127 in 2012, 2013, 2014 and 2015, respectively. It was improved as time passes and the scale gets smaller. Therefore, in order to further improve economies of scope, there should be measures of reducing duplication costs between agriculture-livestock as low as possible and lowering the production cost of organic feed. That is, there is a need for the management strategy to adjust the import function and cost function according to the change in management paradigm and cropping system.
Since 1997, Korean Ministry of Knowledge Economy and Ministry of Environment have established data on some 400 basic raw and subsidiary materials and process like energy, petro-chemical, steel, cement, glass, paper, construction materials, transportation, recycling and disposal etc by initiating establishment of LCI database. Regarding agriculture, Rural Development Administration has conducted establishment of LCI database for major farm products like rice, barley, beans, cabbage and radish etc from 2009, and released that they would establish LCI database for 50 items until 2020 later on. The domestic LCI database for seeds, seedling, agrochemical, inorganic, fertilizer and organic fertilizer etc is only at initial stage of establishment, so overseas LCI databases are brought and being used. However, since the domestic and overseas natural environments differ, they fall behind in reliability. Therefore, this study has the purpose to select organic farming materials, survey the production process for various types of organic farming materials and establish LCI database for the effects of greenhouse gas emitted by each crop during the process. As for selecting methods, in this study organic farming materials were selected in the method of direct observation of material and bottom-up method a survey method with focus on the organic farming materials admitted into rice production. For the basic unit of carbon emission amount by the production of 1kg of organic farming material, the software PASS 4.1.1 developed by Korea Accreditation Board under Ministry of Knowledge Economy was used. The study had the goal to ultimately provide basic unit to calculate carbon emission amount in executing many institutions like goal management system and carbon performance display system etc in agricultural sector to be conducted later on. As a result, emission basic units per 1kg of production were calculated to be 0.04968kg-$CO_2$ for oystershells, 0.004692kg-$CO_2$ for expanded rice hull, and 1.029kg-$CO_2$ for bordeaux mixture liquid.
본 연구는 각박한 현대의 삶을 살아가는 일반인 중에서 직장인들에 대한 힐링과 치유로써 치유농업의 적용과 성장가능성을 위한 기초자료로 제공하고자 치유농업의 활성화를 위한 공급조건과 제공프로그램의 구성과 참가자들의 이용의도간의 관계를 파악하였다. 이를 위해 일반 직장인을 대상으로 설문조사를 실시하였으며, 다중회귀분석을 실시한 결과는 다음과 같이 나타났다. 첫째, 모든 하위요인과 이용의도 간에는 유의한 정(+)의 상관관계가 나타났다. 둘째, 치유농업 공급조건 중 치유시설과 이용편리성, 의료서비스의 필요성에 대한 인식이 높을수록 이용의도가 높았다. 셋째, 치유농업 제공프로그램 중 농작물재배, 동물매개, 자연활동, 문화활동의 필요성에 대한 인식이 높을수록 이용의도가 높았다. 이상의 분석결과를 바탕으로 선행연구와의 차별화된 점을 논의하였으며, 치유농업 활성화를 위한 전략방안 모색의 차원에서 시사점을 도출하였다.
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).
The purpose of this study is to segment and examine urban farmers behavior by applying a two-step cluster analysis and multi-nominal logit model. The data were collected by a telephone survey with two-staged stratified random sampling in the cities around the country for the purpose of acquiring representative data. Respondents were asked to describe their awareness of urban agriculture, their agricultural activity, and sociodemographic characteristics. Among 2,000 cases, 381 cases(19.1%) which were of participants in urban agriculture were analysed in SPSS. From the findings, 27.3% of respondents had heard the word 'urban agriculture', and 25.5% of them regarded themselves as urban farmers. Four different clusters were derived from two-step clusters based on motive, place, companion, area and hours. They were 'Large scale hobby farming(cluster 1)', ‘Weekend farm/ hobby farming(cluster 2)', 'Land/ Self-supporting farming(cluster 3)', and 'Small scale hobby farming(cluster 4)'. The result of multinomial logistic regression showed that there were significant differences among these four segmented groups in terms of age, city size and housing type. In other words, there is quite a possibility that urbanites select different urban farming types according to their socio-demographic profiles. Therefore, the urbanite profiles can be used as the basis for promoting policy of several urban agriculture types. According to the result, policy directions for facilitating urban agriculture were presented.
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