• Journal of the Korean earth science society
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• v.21 no.5
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• pp.503-524
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• 2000

Intercomparisons between four kinds of data have been done to estimate the accuracy of satellite observations and model reanalysis for middle and lower tropospheric thermal state over regional oceans. The data include the Microwave Sounding Units (MSU) Channel 2 (Ch2) brightness temperatures of NOAA satellites and the vertically weighted corresponding temperature of ECMWF GCM (1980-93). The satellite data for midtropospheric temperatures are MSU2 (1980-98) in nadir direction and SC2 (1980-97) in multiple scans, and for lower tropospheric temperature SC2R (1980-97). MSU2 was derived in this study while SC2 and SC2R were described in Spencer and Christy (1992a, 1992b). Temporal correlations between the above data were high (r${\ge}$0.90) in the middle and high latitudes, but low(r${\sim}$0.65) over the low latitude and more convective regions. Their values with SC2R which included the noises due to hydrometeors and surface emission were conspicuously low. The reanalysis shows higher correlation with SC2 than with MSU2 partially because of the hydrometeors screening. SC2R in monthly climatological anomalies was more sensitive to surface thermal condition in northern hemisphere than MSU2 or SC2. The first EOF mode for the monthly mean data of MSU and ECMWF shows annual cycle over most regions except the tropics. The mode in MSU2 over the Pacific suggests the east-west dipole due to the Walker circulation, but this tendency is not clear in other data. In the first and second modes for the Ch2 anomalies over most regions, the MSU and ECMWF data commonly indicate interannual variability due to El Ni${\tilde{n}$o and La Ni${\tilde{n}$a. The substantial disagreement between observations and model reanalysis occurs over the equatorial upwelling region of the western Pacific, suggesting uncertainties in the model parameterization of atmosphere-ocean interaction.

• Journal of the Korean association of regional geographers
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• v.22 no.2
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• pp.424-438
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• 2016

In an effort to prevent urban decline and hollowing-out phenomenon and to vitalize stagnant local economy, a new urban regeneration paradigm is on the rise. This study aims to analyze urban decline characteristics using the spatial statistical method and GIS on the basis of decline standards in the Urban Regeneration Special Act, and spatial autocorrelation technique. The Gwangju Metropolitan City was set as a research target, and the decline standards in the Urban Regeneration Special Act - population reduction, business declines, and outworn buildings - were applied as the indicator to secure the objectivity. In particular, this study has a distinctive feature from the other existing ones, as applying GIS and the spatial statistical technique, in a sense to make urban decline characteristics analysis by the spatial autocorrelation technique. The overall analysis procedure was carried out by applying the standards of designating urban regeneration regions, and following the spatial exploratory procedure step by step. Therefore, the spatial statistical method procedure and the urban decline characteristics analysis data being presented in this study, as the results, are expected to contribute to the urban decline diagnosis at the level of metropolitan city, as well as to provide useful information for spatial decision making in accordance with urban regeneration.

• Korean Journal of Labor Studies
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• v.23 no.2
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• pp.141-167
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• 2017

This study carries out an empirical analysis of how workplace innovation affects employment growth. The theoretical model and hypotheses of this study are drawn from the previous research on the employment effects of innovation. I use the data on Workplace Innovation Indicators(2013-14) collected by Labor Foundation. As the regression models for this study, I adopt OLS models whose dependent variable is employment growth rate, and whose main independent variables are the adoption and the intensity(standardized values) of three innovative work practices such as TQM, employee suggestion plans and multi-skill training programs. The results of this study indicate that the adoption of workplace innovation does not have significant effects on employment growth, but that the intensity of workplace innovation has weakly positive effects on employment growth. Besides, the results of this demonstrate show that government-subsided organizational innovation consulting and training hours per capita have positive employment effects, but that wage level and prior employment size have negative ones. Finally the empirical results are outlined, and their limitations and the future direction of research on this topic are discussed.

• Communications for Statistical Applications and Methods
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• v.18 no.3
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• pp.367-376
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• 2011

BLS weight adjustment is a widely used method for business surveys with non-responses and outliers. Recent surveys show that the non-response weight adjustment of the BLS method is the same as the ratio imputation method. In this paper, we suggested a modified BLS weight adjustment method by imputing missing values instead of using weight adjustment for non-response. Monthly labor survey data is used for a small Monte-Carlo simulation and we conclude that the suggested method is superior to the original BLS weight adjustment method.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.13-20
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• 2014

This study drew a conclusion about the current situation and the trend of start-up in Korea by understanding the convenience of start-up and startup outcome(business satisfaction and income after startup) by year, and by analyzing the trend of the convenience of start-up by each detail items and by industry. In addition to, the key factors of successful business start-up are demonstrated by synthetically examining how the factors influence the outcome of startup, including human capital, business characteristics, economic feature, and situational/institutional characteristics, as well as demographic characteristics. According to the result, business satisfaction after startup by year and business income have gradually increased from 2005, but the convenience of start-up has constantly decreased. Based on the industry, the convenience of start-up shows a statistical significance. Lastly, the factors that influence the outcome of business start-up are complexly turned up as human capital, business characteristics, economic feature, and situational/institutional characteristics, as well as demographic characteristics.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1443-1452
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• 2016

In this paper, we study a sample design for survey on goodwill in retail properties to provide a protecting policy for small traders and tenants, to use basic data for a dispute case related to goodwill. Since goodwill in retail properties is occurred by individual rent company, we use the census on establishments from the Statistics Korea as population. First of all, we consider preferentially seven metropolitan cities in which there are more than half of population. Total sample size is decided as 8,000. We allocate the sample size for markets as stratum in each city using proportional formula and the sample size for industrial classifications in each market using root proportional formula. Also we compute survey weights and calculate estimators, standard errors and interval of estimators for each characteristic such as type of establishments and market in seven metropolitan cities.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.3
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• pp.470-486
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• 2010

In this paper, we investigate the recent trend of regional entrepreneurship of 16 cities and provinces in Korea after 2000. In addition we analyze the impact of determinants on regional entrepreneurship. The recent overall trend of entrepreneurship shows a quite drastic decline in 2008. Specially, it is observed that larger cities show more drastic shrinks in entrepreneurship comparing to previous years. We also confirm four major determinants such as R&D, protecting ownership, industrial diversity, and the size of local government that are statistically significant. We suggest some empirical evidence for that entrepreneurship is positively related with enhancing R&D activities and ownership right through patent. It is also found that the faster growth of local government expenditure than the growth of GRDP deters entrepreneurship manifestation. However, we have a significant yet mixed sign on the coefficient of the industrial diversity. Even if the industrial diversity seems to have no statistically significant impact on regional entrepreneurship, we provide some empirical evidence that it fosters the activities of privately owned small businesses while the industrial concentration does those of corporate firms.

• Spatial Information Research
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• v.9 no.2
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• pp.239-261
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• 2001

A large suite of official statistical data sets has been compiled for geographical units under the national directives, and it is the quantitative regional analysis procedures that could add values to them. This paper reports our attempts at prototyping a statistical GIS which is capable of serving over the Web a variety of regional analysis routines as well as value-added statistics and maps. A pilot database of some major statistical data was ingested for the city of Seoul. The baseline subset of regional analysis methods of practical usage was selected and accommodated into the business logic of the target system, which ranges from descriptive statistics, regional structure/inequality measures, spatial ANOVA, spatial (auto) correlation to regression and residual analysis. The leading-edge information technologies including the application server were adopted in the system design and implementation so that the database, analysis modules and analytic mapping components may cooperate seamlessly behind the Web front-end. The prototyped system supports tables, maps, and files of downloadable format for input and output of the analyses. One of the most salient features of out proposed system is that both the database and analysis modules are extensible via the bi-directional interface for end users; The system provides users with operators and parsers for algebraic formulae such that the stored statistical variables may be transformed and combined into the newly-derived set of variables. This functionality eventually leads to on-the-fly fabrication of user-defined regional analysis algorithms. The stored dataset may also be temporarily augmented by user-uploaded dataset; The extension of this form, in essence, results in a virtual database which awaits for users commands as usual. An initial evaluation of the proposed system confirms that the issues involving the usage and dissemination of information can be addressed with success.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2003.10a
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• pp.415-423
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• 2003

통계청이 발표한 1998년 광공업통계조사 결과에 의한(종업원 5인 이상의 사업체 대상) 공작기계(성형 기계 포함)산업의 생산액은 1조 2,785억원으로서 시장규모는 기계공업 전체 생산액인 217조 9,952억원 중 0.6%를 점유하고 있다. 또한 기업규모는 공작기계제조에 종사하는 63사의 종업원 수(1999년)로 보면 전체 종업원 수는 6,139명(1사 평균 97명)으로서 300명 미만의 중소업체수가 88.9%이고 종업원 수로는 62.5%를 차지하고 있다. 따라서 공작기계산업은 세계선진국을 비롯한 어느 국가를 막론하고 제품의 특성으로 인하여 기업규모가 비교적 작으며 시장규모보다 다수의 기업이 존립하고 있는 실정으로 우리나라도 예외는 아니다.(중략)

• Korean Journal of Labor Studies
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• v.17 no.1
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• pp.243-267
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• 2011

This paper explores the impact of the external workers on employment performance in Korea, using Workplace Panel Survey (WPS). I find the use of external workers, e.g., temporary agency workers, in-subcontract workers, and contract workers, is mainly negatively related with employment performance. Especially the use of in-subcontract workers and contract workers is negatively related with the job creation rate of standard workers and the net growth rate of internal workers. The results show the existence of a substitute effect between the use of internal and external workers.