The flower industry in Gyeongnam Province is the second largest flower producing area after Gyeonggi Province in Korea. Gyeongnam Province is also one of the provinces where flower industry was first introduced, which has started in the middle of 1960s. The share of Gyeongnam Province was 16.2% in area and 14.3% in sales in 2006. The most outstanding feature of Gyeongnam's flower industry is that it has been particularly specialized in cut-flower industry, the share of which was 77.6% of Gyeongnam Province in area. Another feature is that the industry continued to be shrunk in size due to the expansion of urban area. For Gyeongnam's floral industry to be competitive not only in domestic market but in international market, its competitiveness in quality and price is kept being promoted. In addition, the availability of land is essential to the growth of the flower industry of Gyeongnam Province.
Journal of The Korean Society of Agricultural Engineers
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v.63
no.4
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pp.55-64
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2021
The expansion of upland crop cultivation in rice paddy fields is recommended by the Korean government to solve the problem of falling rice price and reduction of rice farmer's income due to oversupply of rice. However, water use efficiency is significantly influenced by the land use change from paddy field to upland. Therefore, this study aimed to evaluate the water budget of soybean grown in using APEX (Agricultural Policy and Environmental eXtender) model. The amount of runoff was measured in a test bed located in Iksan, Jeollabu-do and used to calibrate and validate the simulated runoff by APEX model. From 2019 to 2020, the water budget of soybean grown in uplands were estimated and compared with the one grown in paddy fields. The calibration result of AP EX model for runoff showed that R2 (Coefficient of determination) and NSE (Nash-Sutcliffe efficiency) were 0.90 and 0.89, respectively. In addition, the validated results of R2 and NSE were 0.81 and 0.62, respectively. The comparative study of each component in water budget showed that the amounts of evapotranspiration and percolation estimated by APEX model were 549.1 mm and 375.8mm, respectively. The direct runoff amount from upland was 390.1 mm, which was less than that from paddy fields. The average amount of irrigation water was 28.7 mm, which was very small compared to the one from paddy fields.
This study aims to empirically examine the relationship between building energy consumption and building and local factors in Seoul. Building energy issue is an important topic for low carbon and eco-friendly city development. Building physical, socio-economic and environmental factors effect to increasing or decreasing energy consumption. However, there are different characteristic in each area, and this kind of variable has a hierarchical structure. The multi-level model was used to consider the hierarchical structure of the variables. In this study, a multi-level model was applied to confirm the difference between areas. Spatial area is Seoul, Korea and the temporal scope is August, summer season. As the result, in Model 1 (Null Model), ICC is 0.817. This shows that the energy consumption differs by 8.174% due to factors at the Dong level. Model 2 (Random Intercept Model) suggests that building's physical factors and Average age, Household size and Land price in Dong level have significant effects on Building energy consumption. In Model 3 (Random Coefficient Model), random effect variables have intercepts and slopes to vary across groups. This study provides a perspective for policy makers that the building energy reduction policies to be applied for buildings should be differently applied on area. Furthermore, not only physical factors but also socio-economic and environmental factors are important when making energy reduction policy.
KSCE Journal of Civil and Environmental Engineering Research
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v.42
no.4
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pp.559-569
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2022
Infrastructure engineering is a field that supports construction (assembly) as a representative industry that creates high added value and jobs by combining science and technology with knowledge, though its importance is underestimated. According to a report from the Ministry of Land, Infrastructure and Transport (Korea), the value-added rate (65.3%) of the engineering industry and the employment inducement coefficient (14 employees per billion won) are three times higher than in manufacturing. In particular,the forward value chain (such as project management and basic design) accounts for less than 10~15% of the total project cost but determines the overall price and quality of the infrastructure facilities. In this study, a work break-down system, design support module and database development method for road design projects for design platform development is presented. Based on the presented development method, a cloud-based infrastructure design platform's prototype is developed. The developed infrastructure engineering platform is expected to provide a web-based design work environment without time/space restrictions and greatly contribute to winning overseas business orders and securing competitiveness.
The influence of regional economic growth on migration may also differ by age and generation age due to individual lifestyle. Therefore, this study analyzes an effects of changes in regional economic growth on migration between regions by age group. The result shows that the increase in the growth rate of the regional economy and job creation increased the net migration rate, regardless of age group. Second, it is found that the growth rate of the regional economy and job creation have a greater effect on the net migration rate for the youth population than for the middle-aged group. Third, it is found that the gap between regions in the level of individual income in the 25 to 29 years old and the level of land price fluctuations in the 40 to 64 years old affect the net migration rate. This implies that regional economic growth is still an important factor in the migration between regions, and has a great influence on the youth population.
Journal of the Korean Society of Industry Convergence
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v.25
no.6_3
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pp.1183-1190
/
2022
Recently, the Ministry of Strategy and Finance announced a plan to reduce the proportion of economic evaluation in non-metropolitan areas and strengthen balanced development evaluation through the reorganization of the preliminary feasibility study system. In addition, the social value of the quality of life, such as job, environment, and safety, which may be affected by the implementation of transportation facility investment projects, was reflected as the main item of policy evaluation. In this study, the ripple effect of the project in terms of social value was reviewed for the Gangil-Chuncheon. The effect of highway opening was investigated by reviewing the feasibility report, post-evaluation report, and statistical indicators. Recently, the Gangil-Chuncheon highway is getting used by around 110,000 people per day. The number of tourists in Chuncheon rapidly has increased from 5 million a year to more than 11 million now. In addition, it was confirmed to produce effects such as population migration, net inflow and land price increase, improvement of living convenience, and expansion of emergency medical care. Although this ripple effect was influenced by various socio-economic factors as well as the opening of the highway, it is clear that it is difficult to occur without the opening of the highway. It is judged that the evaluation of indirect benefits and social values due to the opening of the highway can be quantified through continuous research and data construction. Post-evaluation of construction works, including project efficiency evaluation and ripple effect evaluation, is performed for construction works with a construction cost of more than 50 billion won. In the future, we will continuously improve the evaluation system in order to evaluate the indirect benefits and social values of public investment projects.
Lim, Gyoo Gun;Noh, Jong Hwa;Lee, Hyun Tae;Ahn, Jae Ik
Journal of Information Technology Services
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v.21
no.3
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pp.63-72
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2022
The extinction crisis of local cities, caused by a population density increase phenomenon in capital regions, directly causes the increase of vacant houses in local cities. According to population and housing census, Gunsan-si has continuously shown increasing trend of vacant houses during 2015 to 2019. In particular, since Gunsan-si is the city which suffers from doughnut effect and industrial decline, problems regrading to vacant house seems to exacerbate. This study aims to provide a foundation of a system which can predict and deal with the building that has high risk of becoming vacant house through implementing a data driven vacant house prediction machine learning model. Methodologically, this study analyzes three types of machine learning model by differing the data components. First model is trained based on building register, individual declared land value, house price and socioeconomic data and second model is trained with the same data as first model but with additional POI(Point of Interest) data. Finally, third model is trained with same data as the second model but with excluding water usage and electricity usage data. As a result, second model shows the best performance based on F1-score. Random Forest, Gradient Boosting Machine, XGBoost and LightGBM which are tree ensemble series, show the best performance as a whole. Additionally, the complexity of the model can be reduced through eliminating independent variables that have correlation coefficient between the variables and vacant house status lower than the 0.1 based on absolute value. Finally, this study suggests XGBoost and LightGBM based machine learning model, which can handle missing values, as final vacant house prediction model.
Agriculture is one of the most vulnerable sector to droughts, and drought damage on the agriculture sector could have effects on other sector. Droughts have different characteristics compared to other extreme events, which means more sophisticated methods considering the characteristics of droughts are required when measuring their damage. The purpose of this study is to analyze the damage of droughts based on limited computational general equilibrium model. To be specific, we constructed a CGE model focusing on the agriculture sector in Korea. Also, to limit changes in land use and labor, we limited them, and assume droughts only have effects on productivity of value-added. Lastly, we simulate drought effects on rice production in Korea based on several climate scenarios and GCM to identify the economic effects of droughts. The results show that 1) the cumulated damage of droughts during 2021~2040 is higher than other periods (2040~2061, 2081~2100), 2) the correlation between the damage of droughts and SSP scenarios is insignificant. This result implies the necessity of the effective drought risk management to prevent future droughts effects, irrespective of mitigation policies. 3) Due to increases in rice price, GDP of rice sector is increased. However, GDP of the other sector and consumer welfare are decreased. This result show that indirect effects of droughts would be more important when measuring drought effects on agriculture sector.
Proceedings of the Korean Society of Crop Science Conference
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2022.10a
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pp.23-23
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2022
Recently, soybean production and market price are unstable, even if demand of soybean is maintained. Diverse conditions such as climate change, a decrease in rural population, and consuming affect food industry. In this situation, food security is soaring as important key-word again, and MAFRA is promoting policies for improving soybean self-sufficiency with the goal of 40% until 2030. The point of policy is to extend a production and stabilize a demand for soybean with supporting large-scale soybean paddy-field complex. According to the background, soybean breeding and production research in NICS are proceeded with three parts. First, production improvement with soybean cultivation land enlargement and high-yield cultivar development. Various growth period soybean cultivars for double cropping, irrigation management technologies in paddy field, and hyper-yield and specific-region adaptable cultivar development. Second, reduction of production expense with mechanized cultivation and digital-based field management technologies. Third, consumer-friendly and high quality soybeans with high protein cultivar for alternative protein usage and high food process-ability for soy milk, tofu, soybean sprouts, and grain usage. Each part need to be combined and advanced to improve soybean industry and soybean self-sufficiency.
There were strong criticisms against the joint development method: the redevelopment corporation and developers would achieve the whole development profit. The existing tenants who lost their housing in the site argued their right to reside in the site after the development was completed. There was also strong political pressure that the Roh Tae-woo governing administration should resolve the social inequality caused by the situation. In such circumstances, it was introduced that a certain proportion of public rental housing should be built in the redevelopment site; then the government took over the dwellings at a price of construction and allocated them to the existing tenants. The aims of this paper are to understand the rationale behind the inclusion of the public rental housing in the redevelopment sites; and to investigate to what extent the legislation was implemented appropriately. Although the legislation was introduced in Seoul from August 1989, it was not until May 2005 when it was implemented nationwide. At the beginning, there was an ambiguous rule that the number of public housing to be included should be limited to the number of households who would want to remain in the redeveloped site. In 2005 the Seoul metropolitan authority introduced a mandatory proportion; 17% of the total housing delivered in the site should be public rental homes. Since then the proportion. The proportion has been fluctuated by the political agenda of each ruling party: the conservative tended to reduce the proportion, whilst the opposition parties increased the proportion. Currently the proportion is 20% of the total stock to be built. Initially the size of the public housing was exceptionally small- less than 40 m2 but it has increased up to 60 m2 since 2010. The rental price was reasonably lower than market rent. The competition toward redevelopment rental housing that are vacant due to move or death of tenants was very high; it was given to one household out of nine eligible households in 2020.
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