• Title/Summary/Keyword: farm household survey

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Developing Strategies of Environment-Friendly Agriculture Around the Daecheong and Chungju Dam (대청 ${\cdot}$ 충주댐 주변지역의 친환경농업 발전전략)

  • Heo, Seung-Wook;Woo, Jang-Myung
    • Korean Journal of Organic Agriculture
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    • v.13 no.1
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    • pp.53-68
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    • 2005
  • The objectives of this study are an establishment of developing strategies of environment-friendly agriculture(EFA) around the Daecheong and Chungju Dam. To establish strategic target, a series of farm household survey were conducted for farmers residing around the Dacchcong and Chungju Dam. The sample size of the survey is 233 respectively. As a result, the farmers rgcognized that EFA is fit for around Daecheong and Chungiu Dam as well as the prospects is very bright. In conclusion, the main streams to develop EFA are come up with vision and purpose around dam area, systematic connection of environment-friendly agricultural capability around dam area, construction of organic resource circulation system, and connecting propulsion with green tourism including quantitative and qualitative upgrade of environment-friendly agricultural products.

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An Analysis on Farmer's Awareness and Satisfaction Level of the Project for Developing Large-Scale Environment-Friendly Agricultural Districts (광역친환경농업단지 조성사업에 대한 생산자 인식실태 및 만족도 분석)

  • Heo, Seung-Wook
    • Korean Journal of Organic Agriculture
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    • v.21 no.1
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    • pp.49-59
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    • 2013
  • The Purpose of this paper is to analysis on farmer's awareness and satisfaction level of the project for developing large-scale environment-friendly agricultural districts (LSEAD). To analysis farmer's awareness and satisfaction level, a series of farm household surveys were conducted on farmers, take part in the project for developing LSEAD. The sample size of the survey is 80 respectively. As a survey result, awareness and practical use of facilities & equipment shows a little different outcome. Satisfaction level of the project for developing LSEAD is summarized as follows. Influence on disposal of livestock excretions and farmer's consciousness change appears 4.47 and spreading environment-friendly agriculture 4.44, distribution of environment-friendly agricultural product 4.33, and demand of environment-friendly agricultural materials 4.04. In order to sustainable development of LSEAD, a governance system should be established.

Weighted Hot-Deck Imputation in Farm and Fishery Household Economy Surveys (농어가경제조사에서 가중핫덱 무응답 대체법의 활용)

  • Kim Kyu-Seong;Lee Kee-Jae;Kim Jin
    • The Korean Journal of Applied Statistics
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    • v.18 no.2
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    • pp.311-328
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    • 2005
  • This paper deals with a treatment of nonresponse in farm and fishery household economy surveys in Korea. Since the samples in two surveys were selected by stratified multi-stage sampling and weighted sample means has been used to estimate the population means, we choose a weighted hot-deck imputation method as an appropriate method for two surveys. We investigate the procedure of the weighted hot-deck as well as an adjusted jackknife method for variance estimation. Through an empirical study we found that the method worked very well in both mean and variance estimation in two surveys. In addition, we presented a procedure of forming imputation class and formed four imputation classes for each survey and then compared them with analysis. As a result, we presented two most efficient imputation classes for two surveys.

The Impact of Microfinance Programs on Borrowers' Asset Accumulation: An Empirical Study in Bangladesh

  • AHAMAD, Shamsuddin;BHUIYAN, Abul Bashar;SOLAIMAN, Mohammad;JOARDER, Mohd Hasanur Raihan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.1147-1154
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    • 2021
  • The study aimed to investigate the impact of the microfinance program on loan borrowers' asset accumulation. In doing this, the study used descriptive and statistical methods to achieve the objectives. Primary data were collected from 192 respondents from Bangladesh using survey questionnaires. The data were analyzed using the multiple linear regression model. The result revealed that the majority of the borrowers said their assets such as farm, land, and livestock remained the same, which implies that microfinance borrowers still lag behind accumulating household assets. However, in the case of housing conditions and household appliances, there was a marginal increase. The regression result provides evidence that, among other factors, the amount of loan received from microfinance institutions and time duration with them is the most significant role-playing factor for borrower's sustainable well-being. The age and education level of borrowers are identified as positively related to asset accumulations, but not substantially so. Moreover, training provided by microfinance institutions is not effective and influential for microfinance borrowers' wealth accumulation, which is evidenced by the findings. This study's insights are worthwhile for any microfinance institution's decision-makers, development partners, and government to stress the shortcomings and accelerate the borrower's wealth status.

Analysis of users of agricultural outlook information

  • Seungjee Hong;Ga Eul Kim;Seon Min Park;Sounghun Kim
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.833-843
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    • 2022
  • Since the supply and demand of agricultural products are unstable, which causes instability in farm income and consumer prices, the government has sought to mitigate the problems caused by unstable supply and demand by generating and providing agricultural outlook information. However, research should be carried out to increase the quality and utilization of agricultural observation information, because the value of agricultural observation information increases only when more users use this information and apply it to their decisions. In this study, a survey was conducted targeting producers and experts who are users or potential users of agricultural outlook information, and the results were analyzed through quantitative model, specifically importance-performance analysis (IPA) and analytic hierarchy process (AHP). The results show that improvement of promptness was required among the seven items evaluated with regard to agricultural outlook. Also, measures for dissemination of agricultural outlook information and the contents of outlook information should be improved to increase its use. If the quality level and use of agricultural observation information are increased by reflecting the results of the above analysis, decision-making on the supply and demand of agricultural products in Korea will be improved, and it is thought that it will be possible to increase farm household income and stabilize consumer prices through stabilization of supply and demand of agricultural products.

Analysis of the Utilization Characteristics of Electrical Power and Equipments on the Farms (농촌의 전력및 전기기기의 이용특성분석)

  • 박승우;류한열
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.17 no.4
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    • pp.3943-3955
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    • 1975
  • The purposes of this study are to evaluate the utilization characteristics of electrical power consumption, to grasp the present trends in the use of electrical equipments, to estimate the demand factor and load factor being held, and to evaluate the efficiency of electical uses for the recently electrified farms cultivating paddy rice. For the purposes, 109 sample farms located in eleven villiages electrified in six different years from 1968 to 1973, were chosen at random and investigated on 35 items concerning to electrical uses and wiring systems. The survey was carried out in 1975, in the vinicity of Suweon city. The results are summarized as follows: i) The average annual power consumption on sample farms is considered to be low, being 242.9 Kwh. in 1974, and varied according to the different electrified year and size of cultivated land, respectively. It has significant positive correlation to the area of farm, too. ii) Between the number of year of electrical uses and the power consumption, there is very significant positive correlation, which could be expressed as Y=43.041+16.108 X, where X represents the number of years of electrical uses. The annual increment of power consumption is much greater at the beginning of the electrification than that at the later years, its average being approximately 20 percent. However, it is recommended that any estimation of long-term increments should be carefully investigated. iii) The monthly power consumption varies considerably throughout a year, in which the heaviest farm load occurs in November. Observing the seasonal variation of consumption, the winter-time is the heaviest season while the summer is the lowest. The result implies house lighting is chief contribution to the present electrical consumption on the farms. Comparing the variation of monthly consumption ratios between the sample farms and industries, the electrical uses on the farms are independant of the industrial uses, and further, the agricultural uses are of inverse pattern to the farms from the results that there is negative correlationship between them, iv) The number of electrical equipments used on the farms are occupied chiefly by lighting sources. Next to the lighting sources, household appliances of small quantity and some motors are used. The mean electrical quantity is about 1, 127.4 watt, which corresponds to about 37.6 per cent to the contracted quantity. The composition of quantity is chiefly occupied by the electrical motor of about 1.5 hp., single-phased. The number of the annual utilization hours of each equipment is tabulated in Table IV-5. In contradiction to the high utilization of lighting sources and small household appliances, the motor is poorly used for approximately 22 hours in a year. v) More than 55 per cent of farms want to purchase new electrical equipments such as small household appliances and electrical motors in their number. The impulse of purchasing such items is stimulated by the contacts to the mass media and their knowledge on such equipments. Consequently, the increase of electrical uses could be prompted by such trials as education and demonstration. vi) The demand and load factors on the farms vary considerably according to the greater variation of the power consumption, daily or monthly. The daily demand factor is 22.4 per cent and load factor 18.6 per cent, while the annual demand factor is 1.3 per cent and load factor 70 per cent approximately. Therefore, the low efficiency of construction cost requires re-evaluation of the present contracted quantity of 3 Kw. or increase of electrical uses. vii) The electrical energy on the farms devoted chiefly to lighten the farm residences does not contribute to the farm incomes. Consequently, the cost of electrical consumption presses considerably upon the farm economy. Therefore, there is great need to build up the electrical uses on the farms through the development of new works and techinques to utilize any electrical equipments on the production of farm products. Further more, such the development should be related to increase the actual income of the farm consumers.

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Use of Random Coefficient Model for Fruit Bearing Prediction in Crop Insurance

  • Park Heungsun;Jun Yong-Bum;Gil Young-Soo
    • Communications for Statistical Applications and Methods
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    • v.12 no.2
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    • pp.381-394
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    • 2005
  • In order to estimate the damage of orchards due' to natural disasters such as typhoon, severe rain, freezing or frost, it is necessary to estimate the number of fruit bearing before and after the damage. To estimate the fruit bearing after the damages are easily done by delegations, but it cost too high to survey every insured farm household and calculate the fruit bearing before the damage. In this article, we suggest to use a random coefficient model to predict the numbers of fruit bearing in the orchards before the damage based on the tree age and the area information.

A Comparative Evaluation of Integrated Farm Models with the Village Situation in the Forest-Garden Area of Kandy, Sri Lanka

  • Ibrahim, M.N.M.;Zemmeli, G.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.1
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    • pp.53-59
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    • 2000
  • Data from a village household dairy survey was compared with technical parameters of three model farms (0.2, 0.4 and 0.8 ha in extent) established by the Mid-country Livestock Development Centre (MLDC). In terms of land size, about 67% of the 250 dairy farmers interviewed corresponded with the MLDC models, but only 33% of the farmers were keeping dairy cattle under conditions comparable to the MLDC models (no regular off-farm income). In the 0.2 ha category, village farmers kept more cows, and in the other two categories the village farmers kept less cows than their MLDC model counterparts. In all three categories, the milk production per cow was higher in the model farms (1540 to 2137 vs. 1464 to 1508 litres/cow/year), and this could be attributed to higher feeding levels of concentrates in the model farms as compared to the village farmers (430 to 761 vs. 233 to 383 kg/cow/year). The amount of milk produced from fodder was higher in the village situation in comparison to the models. In the mid country, dairy production seems to depend on access to fodder resources rather than on the extent of land owned. Except in the 0.8 ha village category, the highest contribution to the total income was made by the dairy component (44 to 60%). With 0.8 ha village farmers, the income contribution from dairy and crops was similar (41%). Income from other livestock was important for the 0.2 ha MLDC model, but for all other categories their contribution to total income ranged from 0 to 10%. Access to fodder resources outside own-farm land is vital for economic dairy production. As such, an in-depth analysis of feed resources available and their accessibility needs to be further investigated.

An Analysis on the Factors Affecting Consumers' Perception and Satisfaction in the Sixth Industry (소비자의 6차산업 인지도와 만족도에 미치는 요인분석)

  • Joo, Hyunjeong
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.119-130
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    • 2020
  • The proportion of non-farm income among farm household income is over 40%, with the main source coming from the sixth industry. While it is important to understand consumers' preferences to revitalize the sixth industry, the majority of research is focused on producers. Therefore, this study used an Ordered Logit Model to analyze consumer awareness and satisfaction with the 6th industry. As a result, first, the analysis showed that awareness of the sixth industry was generally low, and that the perceptions of gender and regions were different. Second, there were various ways to learn about the sixth industry through media reports, portal searches, and SNS. Third, factors affecting the recognition of the sixth industry were shown to have statistically significant effects on demographic and sociological variables such as age, marriage type, occupation, residential area, and income. This study is the first to analyze the awareness and satisfaction of the sixth industry from the consumer's point of view focusing on its revitalization.

A Note on Complex Two-Phase Sampling with Different Sampling Units of Each Phase

  • Lee, Sang Eun;Jin, Young;Shin, Key-Il
    • Communications for Statistical Applications and Methods
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    • v.22 no.5
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    • pp.435-443
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    • 2015
  • Two phase sampling design is useful to increase estimation efficiency using deep stratification, improved non-response adjustment and reduced coverage bias. The same sampling units are commonly used for the first and the second phases in complex two-phase sampling design. In this paper we consider a sampling scheme where the first phase sampling units are clusters and the second phase sampling units are list samples. Using selected clusters in first phase requires that we list up elements in the selected clusters from the first phase and then use the list as a secondary sampling frame for the second phase sampling design. Then we select second phase samples from the listed sampling frame. We suggest an estimator based on the complex two-phase sampling design with different sampling units of each phase. Also the estimated variances of the estimator obtained by using classic and replication variance methods are considered and compared using simulation studies. For real data analysis, 2010 Korea Farm Household Economy Survey (KFHES) and 2011 Korea Agriculture Survey (KAS) are used.