• Title/Summary/Keyword: variable region

Search Result 1,016, Processing Time 0.037 seconds

Identification and Chemical Control of Gray Snow Molds Caused by Typhula spp. on Golf Course in Korea (우리나라의 골프코스에서 Typhula spp.에 의해 발생하는 설부병의 동정 및 방제)

  • Kim, Jeong-Ho;Shim, Gyu-Yul;Lee, Hye-Min;Moon, Hyo-Sun;Kim, Young-Ho
    • Asian Journal of Turfgrass Science
    • /
    • v.21 no.2
    • /
    • pp.147-154
    • /
    • 2007
  • In March of 2004, gray snow mold (Typhula blight) caused by Typhula spp. occurred on perennial ryegrass (Lolium perenne L.) and Kentucky bluegrass (Poo pratensis L.) at MuJu golf courses in Jeonbuk Province. Leaves in the affected areas were matted together and frequently covered with white to grayish mycelia. Sclerotia were formed on the leaf blade, leaf sheath, or crown regions. The fungus isolated from the diseased leaf formed whitish mycelium, clamp connections, and light pink to brown, irregular-shaped small sclerotia of less than 1.4 mm in diameter, which are characteristic to Typhula incarnata. Optimum temperature ranges for mycelial growth were $5^{\circ}C$ to $15^{\circ}C$. The causal organism was confirmed to be T. incarnata as the partial sequence of its ribosomal RNA ITS1 (internal transcribed spacer) region was 91% homologous to those of T. incarnata in GenBank database. Out of the 14 fungicides tested fur antifungal activity in vitro, 10 fungicides including iprodione, tebuconazole, polyoxin D, flutolanil, hexaconazole, tolclofos-methyl, fosetyl-Al, mepronil, pencycuron+tebuconazole, and fenarimol completely inhibited fungal growth at their recommended concentrations. In the field test, these fungicides and others such as thifluzamide and thiram effectively controlled the gray snow mold of turfgrass with some variable degrees of control efficacies.

An Analysis of Capital Market Shock Reaction Effects in OECD Countries (OECD 회원국들의 자본시장 충격반응도 분석)

  • Kim, Byoung Joon
    • International Area Studies Review
    • /
    • v.22 no.4
    • /
    • pp.3-18
    • /
    • 2018
  • In this study, I examined capital market shock reaction effects of 29 OECD countries with the past 24 years sample period consisting of daily stock market return using T-GARCH model focused on volatility feedback hypothesis. US daily stock market return is used as a unique independent variable in this model in consideration of its characteristics of biggest market share and as an origin country of Global Financial Crisis. As a result, France, Finland, and Mexico in order are shown to be the strongest countries in the aspect of return spillovers from US. Canada, Mexico, and France are shown to be the highest countries in the aspect of explanatory power of model. The degrees of shock reaction are proved to be higher in order in Germany, Chile, Switzerland, and Denmark and those of downside shock reaction are seen higher in order in Greece, Great Britain, Australia, and Japan. Canada and Mexico belonging to NAFTA are shown to be higher in the return spillover from US and in the model explanatory power, but they are shown to be lower in the impact of shock reaction, suggesting that regional distance effect or gravity theory cannot be applied to financial spillovers any longer. In the analysis of subsample period of Global Financial Crisis, north American three countries do not show any consistent results as in the full sample period but shock reaction in the European countries are shown to record stronger, suggesting that shocks from US in the Crisis Times are transferred mainly to European region.

Relationships between Personal Competence and Sales Performance of Sales Representatives: Focusing on Sales Representatives of Automobile Dealership (영업사원의 개인역량이 자동차 판매 성과에 미치는 영향 연구: 자동차 대리점 영업사원을 대상으로)

  • Kim, Mee Hoe;Bae, byung Yun;Jeon, Ki Suk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.14 no.1
    • /
    • pp.17-32
    • /
    • 2019
  • Sales representatives of automobile company play a key role in the circulation system. Given the characteristics of the good, consumers demand high-quality information and guides from the salespersons when they decide to purchase an automobile. Sales representatives provide service to the customers in accordance with their needs to help purchase decision-making process. Therefore, a sales representative's personal competence have a significant effect on sales performance. Based on this hypothesis, we assumed that personal competence of a salesperson has a positive correlation with sales performance. An empirical analysis was conducted to test the hypothesis. This study classifies personal competence into 4 independent variables((1) sales technique professionalism (2) salesperson's attitude and relationship with customers (3) emotion utilization (4) emotion control) and measures the correlation with the dependent variable(sales performance). To verify the relationship, we set and modified the hypothesis based on the precedent studies and researches. In addiction, a survey was conducted targeting 300 local salespersons from Gyeonggi-Gangwon region. 268 valid samples were used and analyzed with SPSS WIN24.0 statistical program. As a result of an empirical analysis, it turned out that sales technique professionalism and emotion utilization have positive correlation with sales performance. However, the result failed to support the assumption that sales representative's attitude and relationship with customers and emotion control have positive correlation with sales performance. At last the result revealed that personal competence should be considered as an important determinant of recruitment specification for sales representatives.

Measuring Willingness to Pay for PM10 Risk Reductions: Evidence from Averting Expenditures for Anti-PM10 Masks and Air Purifiers (미세먼지 건강위험 감소에 대한 지불의사 측정: 마스크 착용과 공기청정기 사용에 따른 회피비용을 중심으로)

  • Eom, Young Sook;Kim, Jin Ok;Ahn, So Eun
    • Environmental and Resource Economics Review
    • /
    • v.28 no.3
    • /
    • pp.355-383
    • /
    • 2019
  • This study is to investigate whether averting costs for wearing $anti-PM_{10}$ masks and using air purifiers at home to reduce exposure from $PM_{10}$ are influenced by subjective risk perceptions and/or objective $PM_{10}$ concentration levels, whose estimates will be used to measure the willingness to pay for $PM_{10}$ risk reduction. An empirical analysis was conducted on a sample of 1,224 respondents who participated in the web-based survey in the late October of 2017. As we reflect the potential endogeniety bias in the estimation of averting cost functions of using air purifiers, the coefficients of risk perception were differed by 6~7 times. Respondents. subjective risk perceptions were influenced by individuals' knowledge, attitudes and demographic variables, as well as the levels of $PM_{10}$ concentrations in their residential region. The marginal willingness to pay for risk reductions at the mean levels of their risk perceptions were measured at 1,000 won per month from wearing $anti-PM_{10}$ masks and 6,000 won for using air purifiers respectively.

Development of a Gangwon Province Forest Fire Prediction Model using Machine Learning and Sampling (머신러닝과 샘플링을 이용한 강원도 지역 산불발생예측모형 개발)

  • Chae, Kyoung-jae;Lee, Yu-Ri;cho, yong-ju;Park, Ji-Hyun
    • The Journal of Bigdata
    • /
    • v.3 no.2
    • /
    • pp.71-78
    • /
    • 2018
  • The study is based on machine learning techniques to increase the accuracy of the forest fire predictive model. It used 14 years of data from 2003 to 2016 in Gang-won-do where forest fire were the most frequent. To reduce weather data errors, Gang-won-do was divided into nine areas and weather data from each region was used. However, dividing the forest fire forecast model into nine zones would make a large difference between the date of occurrence and the date of not occurring. Imbalance issues can degrade model performance. To address this, several sampling methods were applied. To increase the accuracy of the model, five indices in the Canadian Frost Fire Weather Index (FWI) were used as derived variable. The modeling method used statistical methods for logistic regression and machine learning methods for random forest and xgboost. The selection criteria for each zone's final model were set in consideration of accuracy, sensitivity and specificity, and the prediction of the nine zones resulted in 80 of the 104 fires that occurred, and 7426 of the 9758 non-fires. Overall accuracy was 76.1%.

rences in the Impact of Social Capital on Well-being between Korean Liberation Generation and Baby-boom Generation (해방세대와 베이비붐세대 간 사회적 자본이 안녕감에 미치는 영향의 차이)

  • Park, Seoung-Tag
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.2
    • /
    • pp.755-765
    • /
    • 2021
  • The objectives of this study are to subdivide the group of elderly population into the liberation generation as a poor generation that experienced the barley hump, and the baby boom generation to verify differences in the mean of social capital and well-being between those groups of two generations, to verify the effects of social capital on the well-being, and then to review differences between those groups of two generations regarding the effects of subfactors of social capital on the well-being. This study collected and analyzed data from 200 people excluding missing values from the baby boom generation and liberation generation born in 1945-1963, in the D region from July 1st to July 31st, 2018. The main results of this study are as follows. in the results of comparatively reviewing the social capital having effects on the well-being of each group of liberation generation and baby boom generation, when relieving the statistical significance level to 90%, the network was working as a variable having effects on both groups. In this case, when mutually comparing the influence of regression coefficient as �� value, the network had a relatively larger effect on the well-being of the liberation generation.

A Study on the Effect of Social Franchise Characteristics on Management Performance: Focusing on the Mediating Effect of Franchise Autonomy (소셜 프랜차이즈 특성요인이 경영성과에 미치는 영향 연구: 가맹점 자율성의 매개효과를 중심으로)

  • Shin, Yohan;Kim, Jinsoo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.16 no.3
    • /
    • pp.121-143
    • /
    • 2021
  • As the social economy emerges as one of the alternatives for solving social problems, interest and experiments on social franchise, a methodology for scaling the social economy, continue to increase. The success or failure of social franchise has a huge impact on franchisors, members of franchisees, as well as beneficiaries, local residents, and stakeholders in the region, but research on ways to increase their chances of success is still insufficient. Based on previous studies, this study tried to derive success factors by analyzing the effects of social franchise characteristics on business performance, and to understand the mediating effect of franchise autonomy, which is the differentiation point of social franchises, between characteristic factors and business performance. Social value orientation, social economy experience, local network utilization, and customer orientation were derived as characteristic factors affecting business performance, and franchise autonomy was set as a mediating variable, and a survey was conducted for franchisee members and their influence was analyzed. Through this study, it was found that social economy experience and local network utilization had a positive (+) effect on economic performance, and social value orientation, local network utilization, and customer orientation had a positive (+) effect on social performance. Also, the results of franchise autonomy playing a mediating role between social economy experience, local network utilization and economic performance, and a mediating role between local network utilization and social performance were presented. This study has significance as the first study to conduct a full-scale empirical study on social franchises. It is hoped that theoretical research on social franchises will be more active in the future and will be used as a useful reference for performance creation for organizations that seek or already operate social franchises.

Innovation and Industrial Concentration (R&D 지출과 경제적 성과에 관한 실증분석 - 16개 광역지역을 대상으로 -)

  • Lee, Dong-Soo;Cho, Taek-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.3
    • /
    • pp.184-193
    • /
    • 2021
  • This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

The Return of Great Power Competition to the Arctic (북극해 일대에서 본격화되기 시작한 강대국 경쟁)

  • Hong, Kyu-dok;Song, Seongjong;Kwon, Tae-hwan;JUNG, Jaeho
    • Maritime Security
    • /
    • v.2 no.1
    • /
    • pp.151-184
    • /
    • 2021
  • Global warming due to climate change is one of the biggest challenges in the 21st century. Global warming is not only a disaster that threatens the global ecosystem but also an opportunity to reduce logistics costs and develop mineral resources by commercializing Arctic routes. The Arctic paradox, in which ecological and environmental threats and new economic opportunities coexist, is expected to have a profound impact on the global environment. As the glaciers disappear, routes through the Arctic Ocean without passing through the Suez and Panama Canals emerged as the 'third route.' This can reduce the distance of existing routes by 30%. Global warming has also brought about changes in the geopolitical paradigm. As Arctic ice begins to melt, the Arctic is no longer a 'constant' but is emerging as the largest geopolitical 'variable' in the 21st century. Accordingly, the Arctic, which was recognized as a 'space of peace and cooperation' in the post-Cold War era, is now facing a new strategic environment in which military and security aspects are emphasized. After the Cold War, the Arctic used to be a place for cooperation centered on environmental protection, but it is once again changing into a stage of competition and confrontation between superpowers, heralding 'Cold War 2.0.' The purpose of this study is to evaluate the strategic value of the Arctic Ocean from geopolitical and geoeconomic perspectives and derive strategic implications by analyzing the dynamics of the New Cold War taking place in the Arctic region.

  • PDF

Complete Mitochondrial Genome Sequences of Korean Phytophthora infestans Isolates and Comparative Analysis of Mitochondrial Haplotypes

  • Seo, Jin-Hee;Choi, Jang-Gyu;Park, Hyun-Jin;Cho, Ji-Hong;Park, Young-Eun;Im, Ju-Sung;Hong, Su-Young;Cho, Kwang-Soo
    • The Plant Pathology Journal
    • /
    • v.38 no.5
    • /
    • pp.541-549
    • /
    • 2022
  • Potato late blight caused by Phytophthora infestans is a destructive disease in Korea. To elucidate the genomic variation of the mitochondrial (mt) genome, we assembled its complete mt genome and compared its sequence among different haplotypes. The mt genome sequences of four Korean P. infestans isolates were revealed by Illumina HiSeq. The size of the circular mt genome of the four major genotypes, KR_1_A1, KR_2_A2, SIB-1, and US-11, was 39,872, 39,836, 39,872, and 39,840 bp, respectively. All genotypes contained the same 61 genes in the same order, comprising two RNA-encoding genes, 16 ribosomal genes, 25 transfer RNA, 17 genes encoding electron transport and ATP synthesis, 11 open reading frames of unknown function, and one protein import-related gene, tatC. The coding region comprised 91% of the genome, and GC content was 22.3%. The haplotypes were further analyzed based on sequence polymorphism at two hypervariable regions (HVRi), carrying a 2 kb insertion/deletion sequence, and HVRii, carrying 36 bp variable number tandem repeats (VNTRs). All four genotypes carried the 2 kb insertion/deletion sequence in HVRi, whereas HVRii had two VNTRs in KR_1_A1 and SIB-1 but three VNTRs in US-11 and KR_2_A2. Minimal spanning network and phylogenetic analysis based on 5,814 bp of mtDNA sequences from five loci, KR_1_A1 and SIB-1 were classified as IIa-6 haplotype, and isolates KR_1_A2 and US-11 as haplotypes IIa-5 and IIb-2, respectively. mtDNA sequences of KR_1_A1 and SIB-1 shared 100% sequence identity, and both were 99.9% similar to those of KR_2_A2 and US-11.