• Title/Summary/Keyword: Multinomial Logit Analysis

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An Analysis on Determinants of Farmers' Perception to Climate Change in Korea (기후변화에 대한 농업인의 인식에 영향을 미치는 요인 분석)

  • Park, Guen Ah;Lee, Sang Ho;Kim, Myung Hyun
    • Journal of Climate Change Research
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    • v.5 no.1
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    • pp.37-46
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    • 2014
  • The purpose of this study is to analyze the determinants affecting Korean farmers' perception to climate change using multinomial logit and ordered logit model. The major findings of this study are summarized as follows. First, the results indicate that 85.7 percent of farmers have perceived climate change and 85.8 percent of farmers have anticipated that the impact of climate change on agriculture within 10 years. Second, the results show that farming experience, successor to farming, use of computer have a significant impact on expectation to climate change. Finally, the findings also indicate that sex, age, and education have a significant impact on expectation of the mean temperature to climate change.

An Analysis of University Students' Trip Destination Choice Behavior focusing on the Influential Factors (대학생 목적지 선택 행태 분석: 선택 영향 요인을 중심으로)

  • Yang, Ji-Hyun;Joh, Chang-Hyeon
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.1
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    • pp.68-82
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    • 2016
  • Destination choice analysis is an important issue of transportation demand research. The current study analyses the influential factors for university students' trip destination choice. The university students differ from other population groups in many aspects. The study is concerned with shopping, leisure and amusement purposes of trips, other than obligatory trips such as going to school. University students' daily life differs from those of employees and middle and high school students in the sense that a lot of flexible activities are mixed with fixed activities such as work and school attending. A multinomial logit analysis investigates the significance of the impact of a set of variables including residential location, gender and income of the university student. The results show that these variables affect the destination choice of shopping, leisure and amusement. The analysis also provides interesting interpretation of the relationships of the variables with the location choices, which are particularly relevant to the university students.

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Impact of Price Control on Drug Expenditure and Factors Associated with the Drug Switch among Statins: Analysis of HIRA-NPS Data (스타틴 의약품의 약가인하 효과 및 약물 교체 관련 요인: 건강보험심사평가원 환자표본자료를 이용한 분석)

  • Lee, Hye-Jae;Lee, Tae-Jin
    • Health Policy and Management
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    • v.23 no.2
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    • pp.112-123
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    • 2013
  • Background: Under the risk of financial sustainability of National Health Insurance, Korean government attempted a series of regulations over pharmaceutical prices. The first price-cut was implemented to the hyperlipidemial treatments, and the prices of statins were reduced on 15th, April in 2009. The purposes of this study are 1) to investigate the impact of this price-cut on pharmaceutical expenditure, and 2) to identify the factors associated with drug-switch among statins. Methods: Using the national patients sample data, this study conducted time series analysis on the expenditures, prices, and volumes of statin drugs. To understand the factors associated with drug-switch, the multinomial logit model was analyzed at the patients level. Results: The results of time series analysis demonstrated that the price-cut of hyperlipidemic medicines did not lead to the reduced expenditure, suggesting the increased volume was the major cause. The multinomial logit analysis identified the switch of healthcare provider as the significant factor that was highly associated with drug-switch, implying the physicians' preference was the major motivation of drug-switch. Conclusion: Without control of utilization, price regulation itself could not reduce pharmaceutical expenditure. This suggests that the pharmaceutical regulations should be implemented on the basis of understanding of provider behaviors. The findings of this study will form the first step for further empirical studies.

Information Sources for Investment Decisions of U.S. Elderly Consumers

  • Baek, Eun-Young
    • International Journal of Human Ecology
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    • v.11 no.2
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    • pp.51-61
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    • 2010
  • Using data from the 2007 SCF, this study examined the use of information source for investment decisions of elderly consumers. The results indicated that many elderly consumers (about 88%) involved savings /investment decisions. The elderly used 'Experts' (39.48%) as a major information source for their investment decisions, followed by 'Friends' (24.18%). The results of the multinomial logit analysis suggested that the perceived value, the cost for search, knowledge, risk and some of the demographic factors were significantly related to the choice of the information sources for investments by elderly consumers.

Usefulness of In-store Spotting Survey in Developing a Supermarket Location Analysis Model (내점객 인터뷰에 근거한 슈퍼마켓 입지분석 모델의 실용성 평가)

  • 서성무;고윤배
    • Asia Marketing Journal
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    • v.1 no.1
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    • pp.5.1-5.11
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    • 1998
  • 이 연구는 2차자료가 부족한 우리나라 슈퍼마켓 업체의 여건을 감안하여 간편하게 활용할 수 있는 입지분석 모델의 가능성을 탐구하였다. 연구모델은 두 가지 기준을 근거로 모두 네가지 모델을 설정하고 비교검토했다. 먼저 표본추출방법에 의해 내점객표본과 지역할당표본으로 분류하고, 이것을 다시 포함하는 변수의 범위에 따라 축소모델과 확장모델로 구분하였다. 공간상호작용모델의 추정에는 MNL(Multinomial Logit)방식을 이용했다. 분석결과 내점객표본으로 조사해서 얻은 응답자의 주거지와 주로 찾는 점포, 그리고 사전적으로 입수한 경쟁점포의 매장면적, 인접점포까지의 거리에 대한 자료만을 이용해서 추정한 가장 간단한 모델이 비교적 만족스러운 결과를 나타냈다.

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A Study on the Influences of Korean Consumer Characteristics and Propensity to Purchase in Brand Choice (한국소비자 특성과 구매성향이 브랜드 선택에 미치는 영향에 관한 연구)

  • Lee, Hyung-Suk;Kim, Chur
    • International Area Studies Review
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    • v.12 no.3
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    • pp.321-339
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    • 2008
  • The purpose of this study to the analyze characteristics and purchasing activities of consumers by using the Multinomial Logit model, which is a well-known discrete selection model to explain and forecast consumers' selection activities(patterns). The study aims to determine the state of competition between National Brand and Private Band and how some demographic characters and marketing variables influence consumers' brand selections within the facial tissue market. Our analysis process includes reorganization of panel data(individuals' purchasing record at each point) to fit the purpose of our study as well as analysis of probability and influencing factors of consumers' brand selection at each point of purchases. The result showed that consumers at higher age and with higher income hold better probability to purchase National Brand. Likewise, locations also had considerable effect on selecting brand, and Private Brand was preferred in department store and discount stores. On the other hand, consumers loyal to National Brand reported higher probability to purchase if the product prices were higher while Private Brand buyers were more promoted the purchase under price discount.

A Review on Dynamic Changes of Consumer's Attributes and Marketing Mix Strategies of Cut Roses in Korea (장미에 대한 선호속성의 동태적 변화와 마케팅 믹스전략 탐색)

  • Kim, Bae-Sung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.10
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    • pp.4328-4336
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    • 2011
  • The aim of this study is to find changes of the attributes that influence the purchase of cut roses during recent five years(2007~2011) and suggest some implications on ways to promote cut roses marketing. For this purpose, a survey was conducted through the Internet among 1,100 randomly chosen people living in Seoul, Inchon and Gyeonggi Province in 2011. A total of 1,023 valid replies were received for the analysis of the survey which was carried out by the subsidiary consulting firm. The survey panels and estimation models to analyze changes of consumers' preference attributes during recent five years are same to them of Kim, et al.(2007). That is, empirical analysis tools such as ordered probit model, multinomial logit model, and conjoint analysis were used according to Kim, et al.(2007). This paper suggests several policy implications to set up the target market of cut roses and marketing mix strategy to specify the best 4P(product, price, place and promotion).

Segmentation and Characteristic Analysis of Urban Farmers Behavior (도시농업 활동 유형화 연구)

  • Hwang, Jeong-Im;Choi, Yoon-Ji;Jang, Bo-Gyung;Rhee, Sang-Young
    • The Korean Journal of Community Living Science
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    • v.21 no.4
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    • pp.619-631
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    • 2010
  • The purpose of this study is to segment and examine urban farmers behavior by applying a two-step cluster analysis and multi-nominal logit model. The data were collected by a telephone survey with two-staged stratified random sampling in the cities around the country for the purpose of acquiring representative data. Respondents were asked to describe their awareness of urban agriculture, their agricultural activity, and sociodemographic characteristics. Among 2,000 cases, 381 cases(19.1%) which were of participants in urban agriculture were analysed in SPSS. From the findings, 27.3% of respondents had heard the word 'urban agriculture', and 25.5% of them regarded themselves as urban farmers. Four different clusters were derived from two-step clusters based on motive, place, companion, area and hours. They were 'Large scale hobby farming(cluster 1)', ‘Weekend farm/ hobby farming(cluster 2)', 'Land/ Self-supporting farming(cluster 3)', and 'Small scale hobby farming(cluster 4)'. The result of multinomial logistic regression showed that there were significant differences among these four segmented groups in terms of age, city size and housing type. In other words, there is quite a possibility that urbanites select different urban farming types according to their socio-demographic profiles. Therefore, the urbanite profiles can be used as the basis for promoting policy of several urban agriculture types. According to the result, policy directions for facilitating urban agriculture were presented.

Development of the Marginal Scale of Rural Over-Depopulated Village by Analysing the Rural Residential Conditions (농촌마을 정주환경분석을 통한 과소마을 임계규모 결정지표 개발)

  • Bae, Yeon Joung;Lee, Ji Min;Suh, Kyo;Lee, Jeong Jae
    • Journal of Korean Society of Rural Planning
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    • v.19 no.1
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    • pp.109-122
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    • 2013
  • The rapid rural urban migration and aging has generated an over-depopulation problems in rural areas since the 1980s. The purpose of this study constructs the marginal size of rural over-depopulated village through the analysis of the residential disparities such as farmer's ratio, basic life service accessibility, and levels of social and economic factors for each village community. This marginal scale could support evaluating diverse rural policies, which have been planned to apply to the rural development programs at the village level. The major challenges for over-depopulated villages are the lack of basic facilities, production infrastructures and inactive communities in the village. Therefore, the quantitative analysis of rural residential disparities according to rural village scale can provide the criteria for rural over-depopulated villages. We utilized Korea Agricultural Survey Data(2010) including specific residential condition of village level. The present study adopt multinomial-logit model for quantitative analysis of different village scales and decomposition techniques to separate the direct effect by the village scale factor from the endowment effects by regional or area characteristics, and residual effect by unknown factors. The present study found that the minimum scale of a rural over-depopulated village was 40 and 60 houses for the respective conditions of farmer's ratios less than 50% and greater than 75%. It was concluded based on the study findings that threshold scale could support evaluating the diverse rural policies, which have been planned to apply to the rural development programs at the village level.

Analysis of Vehicle Demand by Fuel Types including Hydrogen Vehicles (수소차를 포함한 연료유형에 따른 자동차 수요 분석)

  • Yuhyeon Bak;Jee Young Kim;Yoon Lee
    • Environmental and Resource Economics Review
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    • v.32 no.3
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    • pp.167-190
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    • 2023
  • This study analyzes the potential demand for automobiles based on fuel type using survey data in Korea. The dependent variable of the model is the future desired fuel type, including gasoline, diesel, hybrid, electricity, and hydrogen. The main explanatory variables are the respondent demographic characteristics, key reasons for choosing vehicle fuel type and environmental awareness extracted via principal component analysis (PCA). Using a multinomial logit (MNL) model, we find that respondents who consider fuel economy and infrastructure increase the demand for a hybrid car but decrease the demand for electric and hydrogen vehicles. The denial-types increase the demand for gasoline (petrol) and diesel (light oil), and decrease the demand for electric vehicles. The anxiety-types increase the demand of hybrid vehicles, and decrease the demand for electric vehicles. In contrast, in the case of pro-types, the demand for diesel (light oil) hydrogen vehicles decreased.