• Korean Journal of Organic Agriculture
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• v.23 no.1
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• pp.31-42
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• 2015

This thesis has analyzed the determination factor for the crop insurance of rice focused on paddy rice. The analysis on each farmer has been used with integrated probit model & random effects probit model. It has shown in the analysis result of determination factor for buying the crop insurance of paddy rice farmer through integrated probit model & random effects probit model that the higher age, degree of education, cultivated area, and amount of received insurance money and the lower in a number of family member have revealed the higher possibility to buy the crop insurance in the integrated probit model. While the random effects probit model has shown a higher possibility to buy the crop insurance as the higher age, cultivated area, and amount of received insurance money.

• Journal of Labour Economics
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• v.25 no.1
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• pp.75-95
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• 2002

Using 3 years of panel data on nearly 3,507 households, the Korea Labor Income Panel Survey(KLIPS) data, the authors measure the determinants of poverty and unemployment, and the extents to which poverty influenced unemployment. The probit analysis of unemployment shows that unemployment probability is lower, when male, lower age and is higher, high-school and over junior college, work duration is over 3 years. The probit analysis of poverty shows that poverty probability is lower, when male, higher education level, longer career. specially unemployment and social insurance is determinants of increasing poverty. Bivariate probit model of unemployment and poverty also provides similar findings to those probit analysis and shows an evidence of the influence of unemployment on poverty along with the positive role of social welfare policy such that social welfare receipt reduces the impact of unemployment on poverty.

• STI Policy Review
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• v.2 no.2
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• pp.45-54
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• 2011

This paper develops a recursive multinomial probit model and describes its estimation method. The recursive multinomial probit model is an extension of a recursive bivariate probit model. The main difference between the two models is that a single decision among two or more alternatives can be considered in each choice equation in the proposed model. The recursive multinomial probit model is developed based on a standard framework of the multinomial probit model and a Bayesian approach with a Gibbs sampling is adopted for the estimation. The simulation exercise with artificial data sets is showed that the model performed well. Since the recursive multinomial probit model can be applied to analyze the causal relationship between discrete dependent variables with more than two outcomes, the model can play an important role in extending the methodology of the causal relationship analysis in innovation research.

• Transportation Technology and Policy
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• v.7 no.1
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• pp.37-45
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• 2010

• Transactions of the Korean Society of Mechanical Engineers B
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• v.31 no.11
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• pp.936-941
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• 2007

This paper is on the influence of gas explosion caused by Vapor Cloud Explosion(VCE). Also, it is to understand the influence of the booth for explosion experiment which is installed to let the trainees for legal education which is managed by IGTT(Institute or Gas Technology Training) know the riskiness of explosion. In this study, the influence of explosion shock wave caused by VCE in enclosure was calculated by using the Hopkinson's scaling law and the accident damage was estimated by applying the influence on the adjacent human into the probit model. As a result of the damage estimation conducted by using the probit model, both the damage possibility of explosion overpressure to human 8 meters away and that of shock wave to hurt 15 meters away showed nothing.

• Journal of the Korean Institute of Gas
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• v.13 no.3
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• pp.43-48
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• 2009

The energetic and environmental problems have been getting serious after the revolution of modern industry. Therefore, demand of gas as an eco-friendly energy source is increasing. With the demand of gas, the use of gas is also increased, so injury and loss of life by the fire have been increasing every year. Hence the influence on flame caused by Vapor Cloud Explosion in enclosure of experimental booth was calculated by using the API regulations. And the accident damage was estimated by applying the influence on the adjacent structures and people into the PROBIT model. According to the probit analysis, the spot which is 5meter away from the flame has nearly 100% of the damage probability by the first-degree burn, 27.8% of the damage probability by the second-degree burn and 14.5% of the death probability by the fire.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.259-268
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• 2020

This study aims to provide empirical evidence on the causal relationship between bribery and firm innovation. To this end, we use a micro-dataset of small and medium firms in Vietnam surveyed in 2015. Given the binary nature of the dependent variable, a simple probit regression model is employed. However, as bribery variable is potentially endogenous, a simple probit regression may give biased estimates. We deal with the potential endogeneity by making use of the bivariate probit model. A property of the bivariate probit model is that it can produce efficient estimates of a typical probit model with endogenous binary explanatory variable. A Hausman-like likelihood ratio test is implemented following the estimation to test the existence of endogeneity. We find that bribery significantly undermines firm innovation. Also, firms run by household appear less innovative. The probability of innovation diminishes significantly if firm owners or managers have previous experience in firm products. As expected, larger firms seem to be more innovative. Exporters tend to be more innovative compared to non-exporters. Our findings provide support to the hypothesis that bribery is detrimental to firm innovation and, thus, innovation may be a mediating channel, through which, bribery impedes firm long-term performance.

• Journal of Information Technology Services
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• v.23 no.1
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• pp.11-25
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• 2024

In the field of information security management systems, one of the representative certifications in Korea is ISMS-P certification, and internationally, ISO/IEC 27001 certification is recognized. When companies acquire both ISMS-P (or ISMS) and ISO/IEC 27001 certifications, budget and manpower are duplicated in similar areas. Therefore, it is necessary for the company to choose and invest in a certification that is suitable for its conditions. This paper proposes a strategy for obtaining information security management system certification that is suitable for the characteristics of the company, allowing for effective information security management based on the company's conditions. To achieve this, data were collected from the Ministry of Science and ICT's Information Security Disclosure System (ISDS), the Korea Internet & Security Agency (KISA), and the Financial Supervisory Service's Data Analysis, Retrieval and Transfer System (DART), and Probit regression analysis was conducted. During the Probit regression analysis, the relationships between seven independent variables and five cases of ISMS-P (or ISMS) acquisition, ISMS-P acquisition, ISMS acquisition, ISO/IEC 27001 acquisition, and both ISMS-P (or ISMS) and ISO/IEC 27001 acquisition were analyzed. The analysis results revealed the relationship between company characteristics, including industry, and certification acquisition in the ISMS field. Through this, strategies for certification acquisition based on company types could be suggested.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.05a
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• pp.327-330
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• 2009

A Through-Bulkhead Initiation Module(TBIM) using CH-6 was designed. The TBIM works as the shock-wave generated by a donor charge transmits to the acceptor charge. The structural safety of TBIM housing was calculated via modeling analysis, and the ignition characteristic was proved by 10 cc closed bomb test(CBT). The reliability analysis was made using Probit method on the basis of CBT results. The optimal bulkhead thickness of TBIM which is the most important design parameter was determined using reliability analysis.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.553-564
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• 2016

Purpose: The purpose of this study was to propose useful suggestions by analyzing reliability of guided missile using field data in Military industry. Methods: The collected data from Defense industry company and the military were analyzed using probit analysis which is non-linear model because field data contain binary variable. Results: The results of this study are as follows; It was found that the effect of time was significant. It takes about 12.4 years when 10st percentile of guided missiles are not working and it takes about 18.6 years when 50st percentile of guided missiles are not working. It was found that period between 10years to 15years comes less than reliability 0.0. Conclusion: Periodical check needs to extend from 4 year to 10 year partially. Early LOT need to check per 4 year and follow-up LOT extend the period of check to 10 year by reflecting the result of reliability.