• 도시과학
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• 제9권2호
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• pp.63-68
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• 2020

In recent years, the planning of livable communities has emerged as a new paradigm. The concept of livable communities is related to both the spatial balance of working, playing, and living and the promotion of green modes of transportation, such as walking and biking. This study uses a disaggregate travel survey conducted by the Seoul Metropolitan Area in 2006. I applied a multi-level random intercept logit model to estimate the effects of land-use characteristics on the choice of green modes, holding a traveler's socio-demographic characteristics constant. The empirical results show that higher density and more mixed land-use development encourages people to walk and bike even when individuals have the same socio-economic characteristics. This paper demonstrates that land-use planning by itself can play a role in the creation of livable cities and the decline of greenhouse gas production.

• 농촌계획
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• 제16권1호
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• pp.49-62
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• 2010

As people get aged, we need to pay more attention to the elderly living condition with respect to welfare policy. The present study focuses on housing condition of elderly people living in rural area, and analyzes its determinants, periodical difference, and regional disparities, incorporating an index of minimum housing standard. This study applies multi-level logit model that has a strong statistical advantage that can take random aspects of household and regional context into account. We found that married couple household, presence of economically-active family members, higher education, specialized profession, migration and higher level of land price tend to lower the probability of residing in substandard housings. We also found that housing conditions for elderly people prove to be different by regions and it is particularly noticeable in mountainous rural areas in Gyeongsangnam-do and Gyeongsangbuk-do with the poorest elderly housing conditions. Results also implies that housing welfare policies should be implemented differently considering the target groups based on regional differences. We conclude with some additional policy implications for the elderly living in rural areas.

• 벤처창업연구
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• 제15권1호
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• pp.247-257
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• 2020

최근 몇 년간 청년자영업자의 비중이 꾸준히 증가하고 있고, 정책적으로도 청년들의 창업을 적극적으로 권장하고 있다. 하지만 자영업 노동시장을 검토하고 있는 대다수의 국내 선행연구에서는 상대적으로 중·장년층에 초점을 맞추고 있으며, 청년층의 자영업 노동시장에 관한 선행연구는 일부 연구에서 제한적으로 다루어져 왔다. 특히 청년들의 자영업 진입요인을 별도로 검토한 연구는 부족하며, 분석방법도 전 연령대를 대상으로 한 자영업 진입연구에서 활용한 이론을 적용하고 있다. 하지만, 청년층과 중·장년층은 노동시장 조건과 가족 배경, 인적자본의 축적수준 등이 다르므로 별도의 설명체계와 이론이 필요하다. 이에 본 연구에서는 15세~29세의 연령층을 별도로 구분하여 청년층의 자영업 진입요인을 탐색적으로 분석하였다. 분석에 사용한 자료는 한국노동패널조사 9~20차 데이터를 활용했으며, 청년 실업률과 고용률은 통계청의 경제활동인구조사를 참조하였다. 분석대상은 현재 경제활동을 수행하고 있는 청년으로 한정하였으며 분석방법은 다층로짓분석(multi-level logit model)을 활용했다. 주요 분석결과는 다음과 같다. 첫째, 구조적 차원에서는 실업률이 낮고 고용률이 높을수록 청년층이 자영업에 진입하는 경향이 있다. 둘째, 개인적 차원에서는 가구의 금융자본이 많고 안정적인 직업보다는 고수익을 추구하거나 직업 적성 적합도를 추구하는 경향이 강할수록 자영업에 진입하는 것으로 나타났으며, 학력과 부모의 자영업 경험은 청년층의 자영업 선택에 유의미한 영향을 미치지 않는 것으로 분석되었다.

• 한국콘텐츠학회논문지
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• 제18권4호
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• pp.444-453
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• 2018

본 연구의 주제는 재무분야 중 기업의 연구개발비 지출에 대한 결정요인에 대한 분석이다. 국가별 연구개발비 비중 기준, 국내 자본시장은 국제적인 측면에서 최고의 수준으로 평가되고 있으며, 사기업들의 연구개발비 비중에서 대기업들은 큰 비중을 차지하고 있다. 이와 관련하여, 본 연구에서는 국제금융위기 이후 유가증권시장 상장기업들을 표본자료로 활용하여, 연구개발비의 재무적 결정요인을 분석하기 위한 분위별 회귀분석 방법론이 첫째 가설에서 시행되었다. 둘째 가설에서는 연구개발비 지출 기준 상위 그룹과 하위 그룹간의 재무적 상대적 차이점이 검정되었고 추가적인 검정에서는 언급한 상위, 하위 그룹들에 속한 표본기업들 뿐만 아니라, 표본기간 중 연구개발비 지출이 없었던 그룹들을 포함한 총 3개 그룹들 간의 차이점을 재무적 관점에서 규명하였다. 연구결과 관련, 전년도의 연구개발비 수준, 기업규모, 부도 위험도 그리고 광고비 등이 현재 연구개발비 수준을 결정하는 재무적 요인들로서 종합적으로 판명되었다. 본 연구는 연구개발비의 결정요인들을 종합적 관점에서 분석한 기존 연구(즉, [1])의 추가적 심층연구로서 의미도 있다고 판단하며, 향후 국내 자본시장을 포함한 신흥자본시장과 선진자본시장의 연구개발비 최적 수준 분석에 응용되어 주주의 부의 극대화에 기여할 수 있을 것으로 기대된다.

• 산업노동연구
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• 제23권2호
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• pp.169-193
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• 2017

본 연구는 우리나라에서 동학적 고용안정성을 진단하기 위해서 고용유지율에 영향을 미치는 결정요인을 분석하였다. 고용유지 결정요인 분석을 위해서 사업체 패널자료와 고용보험 이력자료를 연계하고, 다층적 위계적 자료 분석에 적절한 다층 분석모형을 활용하여 결정요인을 분석하였다. 분석결과, 우리나라에서 고용안정성이 매우 낮은 것은 임금수준이 낮고 비정규직 활용수준이 높은 주변부 부문이 광범위하게 존재하기 때문으로 추정된다. 또한 우리나라의 고용구조는 고용과 실업이 반복되는 단기간 고용이 상당한 영역을 차지하면서 전반적으로 고용안정성이 약한 것으로 평가된다. 이러한 사실은 기업이나 개인적 차원에서 숙련향상 및 숙련형성기회가 제한되면서 지속적인 성장 제약요인으로 작용할 가능성이 높으며, 이에 대한 적극적 대응책으로 고용구조의 질적 개선노력이 요구된다.

• 대한교통학회지
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• 제17권5호
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• pp.19-32
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• 1999

본 연구는 도시 내에서 비교적 안정된 통행패턴을 이루고 있는 취업자를 대상으로 대구광역시 사람통행실태 자료(1988년, 1992년)를 이용하여 취업자가 1일에 행한 복수통행 간의 상관관계를 보다 체계적으로 명확히 규명하고, 이를 기초로 하여 취업자의 교통수단선택모형을 구축하여 그 모형의 이전가능성을 검토하였다. 먼저 취업자의 통행행태분석 결과, 통행패턴은 1일에 2통행의 피스톤형태로 비교적 단순하였으며, 교통수단선택패턴도 1일에 행한 복수통행 가운데 첫 번째 통행에서 이용한 수단을 최종 통행수단으로 이용하는 비율이 높은 것 으로 나타났다. 또한 교통수단선택모형의 추정결과 채택된 설명변수의 추정계수 및 모형의 적합도가 모두 양호한 값을 나타내어 본 모형의 타당성이 입증되었다. 끝으로, 구축된 모형의 적용성 검토로서 1988년과 1992년 모형의 시간적 이전가능성을 검토한 결과 여러 지표들로부터 양호한 결과를 나타내어 본 모형의 시간이전성은 충분하다고 판단되어진다.

• 산업경영시스템학회지
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• 제41권4호
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• pp.1-8
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• 2018

Whole body fatigue detection is an important phenomenon and the factors contributing to whole body fatigue can be controlled if a mathematical model is available for its assessment. This research study aims at developing a model that categorizes whole body exertion into fatigued and non-fatigued states based on physiological and perceived variables. For this purpose, logistic regression was used to categorize the fatigued and non-fatigued subject as dichotomous variable. Normalized mean power frequency of eight muscles from 25 subjects was taken as physiological variable along with the heart rate while Borg scale ratings were taken as perceived variables. The logit function was used to develop the logistic regression model. The coefficients of all the variables were found and significance level was checked. The detection accuracy of the model for fatigued and non-fatigues subjects was 83% and 95% respectively. It was observed that the mean power frequency of anterior deltoid and the Borg scale ratings of upper and lower extremities were significant in predicting the whole body fatigued when evaluated dichotomously (p < 0.05). The findings can help in better understanding of the importance of combined physiological and perceived exertion in designing the rest breaks for workers involved in squat lifting tasks in industrial as well as health sectors.

• 유통과학연구
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• 제12권4호
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• pp.31-39
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• 2014

Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

• 마케팅과학연구
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• 제19권2호
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• pp.17-26
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• 2009

As the lifestyle of consumers changes and the need for various products increases, new products are being developed in the market. Each household owns various home appliances which are purchased through the choice of a decision maker. These appliances include not only large-sized products such as TV, refrigerator, and washing machine, but also small-sized products such as microwave oven and air cleaner. There exists latent correlation among possession of home appliances, even though they are purchased independently. The purpose of this research is to analyze the effect of demographic factors on the purchase and possession of each home appliances, and to derive some relationships among various appliances. To achieve this purpose, the present status on the possession of each home appliances are investigated through consumer survey data on the electric and energy product. And a multivariate probit(MVP) model is applied for the empirical analysis. From the estimation results, some appliances show a substitutive or complementary pattern as expected, while others which look apparently unrelated have correlation by co-incidence. This research has several advantages compared to previous literatures on home appliances. First, this research focuses on the various products which are purchased by each household, while previous researches such as Matsukawa and Ito(1998) and Yoon(2007) focus just on a particular product. Second, the methodology of this research can consider a choice process of each product and correlation among products simultaneously. Lastly, this research can analyze not only a substitutive or complementary relationship in the same category, but also the correlation among products in the different categories. As the data on the possession of home appliances in each household has a characteristic of multiple choice, not a single choice, a MVP model are used for the empirical analysis. A MVP model is derived from a random utility model, and has an advantage compared to a multinomial logit model in that correlation among error terms can be derive(Manchanda et al., 1999; Edwards and Allenby, 2003). It is assumed that the error term has a normal distribution with zero mean and variance-covariance matrix ${\Omega}$. Hence, the sign and value of correlation coefficients means the relationship between two alternatives(Manchanda et al., 1999). This research uses the data of 'TEMEP Household ICT/Energy Survey (THIES) 2008' which is conducted by Technology Management, Economics and Policy Program in Seoul National University. The empirical analysis of this research is accomplished in two steps. First, a MVP model with demographic variables is estimated to analyze the effect of the characteristics of household on the purchase of each home appliances. In this research, some variables such as education level, region, size of family, average income, type of house are considered. Second, a MVP model excluding demographic variables is estimated to analyze the correlation among each home appliances. According to the estimation results of variance-covariance matrix, each households tend to own some appliances such as washing machine-refrigerator-cleaner-microwave oven, and air conditioner-dish washer-washing machine and so on. On the other hand, several products such as analog braun tube TV-digital braun tube TV and desktop PC-portable PC show a substitutive pattern. Lastly, the correlation map of home appliances are derived using multi-dimensional scaling(MDS) method based on the result of variance-covariance matrix. This research can provide significant implications for the firm's marketing strategies such as bundling, pricing, display and so on. In addition, this research can provide significant information for the development of convergence products and related technologies. A convergence product can decrease its market uncertainty, if two products which consumers tend to purchase together are integrated into it. The results of this research are more meaningful because it is based on the possession status of each household through the survey data.