• Korean Journal of Agricultural Science
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• v.43 no.1
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• pp.136-143
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• 2016

Garlic and onion are staple agricultural products to Koreans and also are important with regard to agricultural producers' income. These products' acreage responses are highly correlated with each other. Therefore, it is necessary to test whether there is a cointegration relationship between garlic acreage and onion acreage when one tries to estimate the acreage response's function. Based upon the test result of cointegration, it is confirmed that there is no statistically significant cointegration relationship between garlic acreage and onion acreage. In this case, vector autoregressive model is preferred to vector error correction model. This study investigated the dynamic relationship between garlic and onion acreage responses using vector autoregressive (VAR) model. The estimated results of VAR acreage response models show that there is a statistically significant relationship between current and lagged acreage of more than one lag. Therefore, it is recommended that government should consider the long-run period's relationship of each product's acreage when it plans a policy for stabilizing the supply and demand of garlic and onion. For the price variables, garlic price only affects garlic acreage response while onion price affects not only onion acreage response but also garlic acreage response. This implies that the stabilizing policy for onion price could have bigger effects than that for garlic price stabilization.

• Korean Journal of Agricultural and Forest Meteorology
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• v.26 no.1
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• pp.75-88
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• 2024

It would be advantageous to predict acreage and yield of crops in major grain-exporting countries, which would improve decisions on policy making and grain trade in Korea. A climate suitability model can be used to assess crop acreage and yield in a region where the availability of observation data is limited for the use of process-based crop models. The objective of this study was to determine the climate suitability index of wheat by province in Ukraine, which would allow for the spatial assessment of acreage and yield for the given crop. In the present study, the official data of wheat acreage and yield were collected from the State Statistics Service of Ukraine. The EarthStat data, which is a data product derived from satellite data and official crop reports, were also gathered for the comparison with the map of climate suitability index. The Fuzzy Union model was used to create the climate suitability maps under the historical climate conditions for the period from 1970 to 2000. These maps were compared against actual acreage and yield by province. It was found that the EarthStat data for acreage and yield of wheat differed from the corresponding official data in several provinces. On the other hand, the climate suitability index obtained using the Fuzzy Union model explained the variation in acreage and yield at a reasonable degree. For example, the correlation coefficient between the climate suitability index and yield was 0.647. Our results suggested that the climate suitability index could be used to indicate the spatial distribution of acreage and yield within a region of interest.

• Journal of The Korean Society of Agricultural Engineers
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• v.56 no.1
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• pp.61-70
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• 2014

South Korea is under pressure to reduce $CO_2$ emissions because of expanding request for reducing $CO_2$ emissions. In many industry sectors, $CO_2$ emissions were analyzed to reduce $CO_2$ emissions. But little effort in researching agricultural sector has been undertaken because it is recognized as environmentally friendly industry. The object of this research is to estimate $CO_2$ emissions of crops and analysis on correlation between $CO_2$ emissions and production, acreage of crops. In this study, environmental input-output analysis was used to estimate $CO_2$ emissions of agricultural sector and spearman correlation coefficient was used to analysis on correlation between $CO_2$ emissions and statics like production and acreage. As a result, rice, barley, pulses and horticultural specialities had correlation with acreage and correlation coefficients of these crops were 0.800~0.933. Regression equations about $CO_2$ emissions and acreage of rice, barley, pulses and horticultural specialities was made and $R^2$ of these equations were 0.615~0.929. Using equations, $CO_2$ emissions of rice, barley, pulses and horticultural specialities can be estimated with acreage.

• Journal of agriculture & life science
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• v.46 no.6
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• pp.173-184
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• 2012

The objectives of this study are to analyze the factors affecting the structural changes of agricultural land use in Gyeongsangnam-do and to prospect for its future use. Seven commodity groups are categorized to include all agricultural products: rice, summer food crops, summer vegetables and other cash crops, fruits, barley, winter field vegetables, and winter greenhouse vegetables. We developed a model for acreage distribution among the seven commodity groups, and estimated the economic relations between prices and acreage distribution. The results showed positive relations exist between cultivating acreage and own commodity prices in all commodity groups, whereas competitive relations exist between summer commodity groups or winter commodity groups such that rice price decreases led to increases of fruits cultivating acreage or vice versa and winter vegetable price increases led to increases of winter greenhouse vegetables cultivating acreage or vice versa. Further, acreage elasticities with respect to own commodity prices or farm wage rates are estimated over the last 30 years, and future agricultural land use in Gyeongsangnam-do is prospected based on three different scenarios. Total agricultural land use in Gyeongsangnam-do will be decreased over the next 10 years from 159,000 ha in year 2010 to 143,000~153,000 ha in year 2020. By commodity group, cultivating acreage of rice, summer food crops, and barley will be decreased while cultivating acreage of summer vegetables, fruits, winter field vegetables, and winter greenhouse vegetables will be stagnant.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.269-273
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• 2003

In the rice planted acreage estimation, high precise measurement and laborsaving are required by using satellite data. A method referring accurate agricultural plot vector data was used in this paper which improves the estimation accuracy of rice planted acreage compared with conventional methods. In this method, satellite data are not used for totalization, although they are used to discriminate whether the fields are rice planted or not. This paper described the result of the above method using to ASTER-VNIR data.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.192-205
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• 2012

This study estimates how much climate variables affect the land price and acreage of rice paddy and dry farm field in agriculture with the case of Gangwon-do in Korea. To this end, we capitalize upon the Ricardian approach based upon the panel data on climate, soil and geography, farmland prices and acreage, other economic and social variables for 11 municipal units comprising Gangwon-do during the period of 1992-2010. Our empirical analysis shows that the temperature variable has negative economic impacts on the price and acreage of rice paddy and dry farm field, confirming that the temperature variable is much significant than that of precipitation in global warming. On the other hand, the other determinants of farmland price and acreage are different with the type of farmland in Gangwon-do.

• Journal of the Korean Institute of Landscape Architecture
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• v.27 no.4
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• pp.1-12
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• 1999

This study aims to find basic data for using the quantitative assessment of the sustainability and establishing the systematic index of the planning for local cities to consider the environmentally sound and sustainable development. The research designs to review professional responding to surveys preceded by separate questionnaires and interviews from book reviews, and suggests to make an assessment model of the sustainability for local cities. The research found consequently as follows. Firstly, the research survey items were decides totally 52, grouped 9 assessmental issues and distributed under 4 assessmental domains for the sustainability from the references of book reviews. Secondly, the research result concentrated on the followings from the professional responding to surveys. 1. A most influent factor is the distribution of animals and plants in a nature domain. The next influent factors are the ratio of mass-transportation systems, the numbers of the species of animals and plants, the acreage of conservative forestry, the numbers of reused water resources, and the usage number of water supply, orderly in the nature domain. 2. A most influent factor is the usage number of synthetic detergents in a pollution domain. The next influent factors are the volume of waste water, the number of registered vehicles, the degree of soil pollution, and the charge of development imposition, orderly in the pollution domain. 3. A most influent factor is the acreage of athletic facilities, in an urban domain. the next influent factors are the acreage of recreational facilities, the number and acreage of cultural assets, the number of cultural facilities, the acreage of landscape conservation area, the charge of cultural asset management, orderly in the urban domain. 4. A most influent factor is the number of waste disposal facilities in a participation domain. The next influent factors are the capacity of reused waste, the usage of synthetic detergents, the ratio of waste water disposal, orderly in the participation domain. 5. A most contributed influent domain to the assessment of the sustainability for local cities is the urban domain. The next influent domains are nature domain, participation domain, and pollution domain, orderly in the contribution of the assessment of the sustainability. But, the pollution domain is little relationship with the sustainability. Therefore, it is clear that the abundant greens and the improved level of culture are dominant influences on the sustainabiligy, as like improving the ratio of roadside trees, the acreage of parks, and enlarging the number of cultural facilities.

• Magazine of the Korean Society of Agricultural Engineers
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• v.35 no.4
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• pp.86-94
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• 1993

In this study, a tentative decision-making matrix for village planning in reclaimed land was proposed. The evaluating conditions in the matrix are reclaimed farming acreage and distance. And the indexes for evaluation works are farming acreage required for increasing present farm size to target size in the base of, allowable commuting distance for farming from and effective controlling distance of each village. The village planning strategies are considered into four categories ; upkeep of present village scale, transfer of its superfluous farming acreage to a neighbouring village, enlargement of present village scale and new village construction in reclaimed land. As a case study, the proposed decision-making matrix was applied to 69 villages, which are contiguous to the potential farming area from reclamation works of Yongsan River Basin Comprehensive Development Project Phase Ill and so considered in this study as future farming villages there. From the application results, the following tactics for village planning may be proposed ; principally, upkeep or enlargement of present village scale, but, in an exceptional few cases of standard farming size being 3~5ha, new village construction of normal or satellite scale.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.3
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• pp.11-22
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• 2005

It is necessary to arrange and analyze the collected research date to get regularity such as characteristics, merits and demerits, and possibility in city when constructing land information by analyzing linkage and utilization of cadastral information as the fundamental data for land information around the acreage of a lot and by expressing the purpose of each digital data construction with map. In short, that is the work to classify data, to make chart or map, or to analyze using statistical technique. Some information in land utilization had been used by computerization, but several problems were found in common use of total divisions. The most important problem is, in the case of drawing information, that topographical map with building boundary and land registration map with acreage boundary cannot be used together. In the case of property information, common utilization of property information that is basically needed and standard measurement of usage classification are necessary. The characteristics of the land usage data by the rearrangement of the cadastral information. etc. is presented as the basic data for the land information orientation, and the analyzing result of the data should be expressed and controlled on the map as the fundamental survey for the establishment of the land information oriented planning supports the physical space planning of the land cadaster finally. In this research, the problem in establishing current land information around acreage of a lot was found to research data to be needed in land information for utilizationof space based digital information, and was studied the method in relation to GIS.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.557-586
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• 2009

The objective is to find the classification criteria between urban and rural, and to classify the urban and rural area all the country in Korea. For the research objectives, reviews of related literature and statistical yearbooks were used for finding criteria and analysing data. Through reviewing the literature, some indicators were selected in views of rurality and urbanity, and gathered the data from statistical yearbooks. And factor analysis was used to find first and second factor for classifying region. Six factors as a city surrounding(36%), non-farmer household population ratio(28.1%), cultivated acreage(12.48%), agricultural production surrounding (12.40%), the farm family number change(5.58%) and household number rise and fall(5.54%) were finding. And rurality factors were cultivated acreage, agricultural production surrounding, the farm family number change and household number rise and fall, and urbanity factors were city surrounding and non-farmer household population ratio. Based on the first and second factor loaded amount, four type regional classification was followed.