• Title/Summary/Keyword: Tobit Analysis

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An Analysis of Factors Influencing on Chinese Agricultural Exports to Korea (중국 농수산품의 대(對)한국 수출 영향요인 분석)

  • Ji-Eun Pyeon;Eun-Young Nam
    • Korea Trade Review
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    • v.47 no.5
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    • pp.39-57
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    • 2022
  • This study aims to analyze the factors influencing exports of agricultural products(HS01~HS24) from China to Korea by estimating the gravity model with panel data from 31 provinces in China. The results of the empirical analysis from the panel Tobit model are as follows: The effects of GDP and GDP per capita on agricultural exports are reversed, but their impacts are different on exports of each product, notably HS03, HS07 and HS20. As expected, distance decreases Chinese agricultural exports, and the impact of the relative exchange rate variable is also statistically significant, although it differs from product to product. However, differences in latitude, which considers the heterogeneity of climate and agricultural production conditions between Korea and each Chinese region, does not seem to affect agricultural exports to Korea. The road length, which affects the logistical conditions of each province in China, is not statistically significant either. On the other hand, increases in the number of Chinese visitors to Korea raises the amount of Chinese agricultural exports, including exports of HS03 and HS20. The results also shows that after the Korea-China FTA agreements, agricultural exports have actually decreased, especially exports of non-processed agricultural products, such as HS07.

Identifying the Characteristics of Elderly Pedestrian using the Tobit Model (토빗모형을 활용한 고령 보행자의 보행 특성 연구)

  • Choi, Sung-taek;Choo, Sang-ho;Jang, Jin-young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.1
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    • pp.16-27
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    • 2016
  • This study identified the factors which affect pedestrian behavior using the tobit model with a descriptive analysis. Individual characteristics, household characteristics, zone characteristics were selected as the independent variables. Walking frequency and walking time was adopted for the variables which represent walking behavior. The results showed that the walking time models were superior than the walking frequency models. The model for education purpose had the most lowest fitness and the model for others purpose had characteristics mixed up the various purposes. Futhermore, this research found that independent variables: individual, household and zone characteristic variables affected walking activities of elderly pedestrian by purpose. The walking activity decresed when a pedestrian grew older or had a vehicle or a driver's license. The Elderly facilities promoted the walking activity of seniors. As the floor area of neighborhood and business facilities was wide, the walking activities were animated. In addition, the compacted downtown developments decreased the elderly's walking activities, so it is needed to consider those results in terms of the urban planners.

Analysis of the Performance Determinants for Global R&D Cooperation of Korean Firms (우리나라 기업의 R&D 국제협력 성과 결정요인 분석)

  • Koh, Daeyoung;Sung, Yeolyong;Cho, Yoonae
    • Journal of Korea Technology Innovation Society
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    • v.19 no.3
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    • pp.604-633
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    • 2016
  • In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.

Regional Total Factor Energy Efficiency and its Determinants of the Korean Manufacturing Sector (우리나라 16개 시·도의 제조업부문 총요소 에너지 효율성 및 결정요인 분석)

  • Park, Changsuh;Seo, Yun Seok
    • Journal of the Korean Regional Science Association
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    • v.33 no.1
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    • pp.3-16
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    • 2017
  • This paper analyzed 16 regional total factor energy efficiency (TFEE) of the Korean manufacturing sector using data envelopment analysis method for the period of 2005-2013. According to the empirical results, it is necessary to use TFEE as well as partial energy efficiency defined by the ratio of energy usage to output (energy intensity) when we compare energy efficiency. Secondly, TFEE in the Korean manufacturing sector is quite different across 16 regions. For example, Gangwon province should improve energy efficiency by 55% compared to Seoul, Gwangju, Ulsan, and Gyeongbuk which are located on production frontier. Furthermore, the estimation of panel tobit regression model showed that the higher non fossil fuel using, the higher production share of large-sized firms, the lower energy intensity, and the lower capital-labor ratio could have positive effect on TFEE.

A Study on the Dissemination Structure of Unfilled Positions in Universities Across the Country using Big Data: Using Panel and Tobit Regression Model (빅 데이터를 활용한 대학의 지역·권역별 학과의 미충원 파급구조 연구: 패널회귀모형과 토빗회귀모형의 응용을 중심으로)

  • Dong Woo Chae;Kun Oh Jung
    • Journal of Information Technology Applications and Management
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    • v.30 no.1
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    • pp.33-52
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    • 2023
  • This study observes the difference in the actual regional ripple effect of the decrease in admission resources due to the decrease in school age population, which has been weak in empirical studies, and how much the decrease in competition rate by department nationwide provides a significant shock to the decrease in enrollment rate in the population unit. An empirical quantitative analysis was attempted. As a result of applying the panel-tobit regression model, a clear gap was confirmed in the decrease in the registration rate due to the decrease in the competition rate both nationally and in the provinces, and in particular, a highly significant relationship was derived with the decrease in the recruitment rate. In particular, the sensitivity of the risk of unrecruitment due to a decrease in competition rate was the highest in the Jeolla region (0.499), followed by the Gangwon region (0.475) and the Gyeongsang region (0.471), and the metropolitan region (0.158) was confirmed to be the most stable. This suggests that the gap in insufficient funding has gradually widened by region over the past 10 years, and that the shock wave becomes more pronounced in the provinces farther away from the metropolitan area. Based on this study, if we deviate from the standardized application of university development policies for the metropolitan area and regional universities, and present a customized higher education strategy for each region, it will be an opportunity to prevent local extinction due to a decrease in the school-age population and achieve coexistence with higher education institutions and regions at the same time.

An Analysis of the Efficiency and Determinants of Coffee Franchises that Use DEA (DEA를 이용한 커피 프랜차이즈의 효율성 및 결정요인 분석)

  • Kim, Bo-Ram
    • The Journal of the Korea Contents Association
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    • v.20 no.4
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    • pp.159-168
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    • 2020
  • This study aims to utilize DEA, analyze the efficiency of Korean coffee franchises, look into the factors that affect efficiency, and improve the efficiency of Korean coffee franchises. The main results of this study are as follows. First, according to CCR model standards, there are a total of 9 efficient coffee franchises and according to BCC model standards, there are a total of 12 efficient coffee franchises. A total of three of the inefficient DMUs were found to have a value of 1 for BCC, while the other 25 were found to be inefficient for both technology and scale. Second, of 28 franchises, 11 were analyzed to be decreasing return to scale and through future increased investments of optimum levels, business performance can be improved and efficiency can be enhanced. Analysis showed that 9 franchises appeared as CRS and it is most ideal to maintain the yield of future output elements at current levels and the work efficiency of 8 franchises in increasing returns to scale states expands as production scales increase according to specialization and role division and yield can relatively improve a lot. Third, the analysis of factors affecting the efficiency of franchises through the Tobit regression analysis showed that the number of franchises and operating periods had a positive (+) effect on efficiency. Based on this study, the efficiency of coffee franchises should be analyzed to establish strategies to maximize efficiency. Based on this study, the efficiency of coffee franchises should be analyzed to establish strategies to maximize efficiency.

The effect of School Milk Program for Junior & Senior High School Students on Milk Consumption (Tobit 모형을 이용한 중·고등학교 우유급식이 우유소비에 미치는 효과 분석)

  • Jang, Jong-Keun;Cho, Woong-Je;Oh, Seung-Yong;Kim, Eun-Mi
    • Journal of the Korean Society of Food Culture
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    • v.22 no.4
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    • pp.498-502
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    • 2007
  • Today’s teenagers were significantly deficient of calcium intakes, taking on the average only 55.4 percents of the recommended. Milk was the major source of calcium intakes, and therefore the school milk program need to be readdressed to remedy this problem. However, school milk program(SMP) was said to be simply the substitute for milk at home, so that no more than a minimal effect on total milk consumption be warranted. This Study aimed to find out whether or not the school milk program was an effective measure to increase teenager’s milk consumption and explored the relation between school milk and total milk consumption for 1,079 junior and senior high school students who were surveyed by questionnaire from 15th June to 15th July in 2006. A Tobit model was used for the statistical analysis. In this model, we first regressed milk consumption on 5 variables i.e. degree of satisfaction, participation in SMP, sex, school, region. But the variable region was not significant statistically. Then we regressed on 4 variables except for region. The results showed 4 variables were all significant and the marginal effect of variable ‘participation in SMP’ was 1.3. Especially, the marginal effect 1.3 means that the students participating in the school milk program consumed 1.3cups more than the non-participants, which indicated the effectiveness of school milk program to improve the calcium deficiency program of teenagers.

Equity Analysis of Feeder Bus Routes in Seoul using DEA(Data Envelopment Analysis) Model (DEA(Data Envelopment Analysis) 모형을 이용한 서울시 지선버스노선의 형평성 분석)

  • Han, Jin-Seok;Kim, Hye-Ran;Go, Seung-Yeong
    • Journal of Korean Society of Transportation
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    • v.29 no.2
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    • pp.15-24
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    • 2011
  • This study discusses an equity analysis performed to supplement the existing bus service evaluation system. The equity of 179 feeder bus routes in the city of Seoul(Year 2009) is analyzed by employing the modified BCC model along with the desirable inputs such as a number of bus stops and a frequency of operations. In the analysis, each DMU (Decision Making Unit) is assumed to use the desirable inputs, and produces both the index of equity and the index of accessibility. We apply an input-oriented modified BCC model to analyze the equity of the DMUs. The computational result indicates that only 9% of the feeder bus routes are equitable among the total DMUs and the average equity estimate is 0.702. It is also suggested that on average approximately 60% increases of desirable inputs (i.e., a number of bus stops and a frequency of operations) are needed in order to improve equity of DMU in the city of Seoul. The result of the tobit regression analysis on the determinant factors affecting the equity of DMUs shows that all the independent variables (i.e., a number of bus stops and a frequency of operations) are statistically significant at 5% significance level, and the number of bus stops is found to be the most influential factor.

A Study on the Management Efficiency of 'Sindongjin' Rice Farms Used DEA Model (DEA를 이용한 신동진 벼 재배 농가의 경영 효율성 분석)

  • Jin, Xi-Jie;Piao, Shi-Yong;Sun, Yu-Cong;Lee, Jong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.61-69
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    • 2020
  • This paper examined the operational efficiency of the new rice variety "Sindongjin" farmed by the Rural Development Administration. Thirty farmers were surveyed in the survey area--Jeonbuk-do Province. The operational efficiency was analyzed by studying the data of these 30 farmers. The operational efficiency of the farmers was analyzed through a survey using the DEA model for analysis. DEA analysis was performed to obtain the technical efficiency of the farmers. The results showed that the DEA technical efficiencies of 12 farmers were efficient, and 18 farmers were inefficient. Farmers No. 13 and No. 25 were representative of inefficiency, and the results show that the cost of input elements was high. An analysis of the determinants of efficiency through the Tobit model found that the operating efficiency increased with decreasing variable costs (Seed costs, By-product fertilizer costs, General fertilizer cost, Pesticides cost, Cost of water, electricity, gas, and Cost of small farm implements) and fixed costs (Repair cost and Other costs). There is a problem of excess input from farmers, and these input costs need to be reduced.

Estimation of economic benefits of biodegradable fishing net by using contingent valuation method (CVM) (CVM을 이용한 생분해성 어구의 경제적 편익 분석)

  • Park, Seong-Wook;Kwon, Hyeok-Jun;Park, Seong-Kwae
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.46 no.3
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    • pp.265-275
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    • 2010
  • The main purpose of this study is to estimate willingness to pay (WTP) by the general publics, assuming that they pay tax or charge for protecting marine living resources and environment through developing and supplying biodegradable fishing nets. This study employed a contingent valuation method (CVM) which is an econometric method. The survey was conducted by using both double-bounded dichotomous choice and open-ended survey. Tobit model was used for the analysis. The variables included concerns about marine environment and fishing net discarded, sex, age profile, number of family members, educational level and personal disposable income. Annual average WTP per family for the biodegradable fishing net development and supply was estimated at 5,294 won and national WTP amounted to some 84.2 billion won. This includes both of use and non-use value of biodegradable fishing nets.