신세대 논단:주체사상의 서원

황석준 북한연구소 1989 北韓 Vol.- No.209

간세포암으로 오인된 간내 만성육아종성염증 병변

황석준,양주일,문동혁,김준,정은지 대한내과학회 2021 대한내과학회 추계학술대회 Vol.2021 No.1

What are the Critical Factors and Reasons Involved for Some American States to Introduce a School Voucher Program for Their Educational Competitiveness?

황석준,김국진 한국정부학회 2019 한국행정논집 Vol.31 No.2

In the United States, some states have adopted the school voucher program to reform the public education system along with other educational reforms including public charter schools and magnet schools, etc. The purpose of school voucher program is to provide a better-quality education service to voucher students by helping their school attendance regardless of whether they attend public or private schools. However, not every state has adopted it. Some states have actively adopted school voucher program, while others have not. Thus, the aim of this article is to examine the factors that determine each individual state’s decision regarding the introduction of a school voucher program. According to the results, whether or not a school voucher program is adopted in a particular state depends more on political elites’ ideology in a state and the ethnic composition of each state’s population than the other factors. Furthermore, the influential factors differ depending on whether or not a school voucher program is for students with special needs; The additional analyses show that the pressure of teachers’ union is revealed as a negative factor affecting the introduction of the school voucher program for students without special needs while the conservative state government ideology in a state and the portion of African Americans in the state’s population are the positive influential factors relevant to school voucher programs for students regardless of whether the recipients are restricted to students with special needs.

밀리미터파 대역 지능형 반사 표면 기반 채널 추정 기술 분석

황석준,권진호,서경식,전정원,노송 한국통신학회 2023 한국통신학회 학술대회논문집 Vol.2023 No.2

오염피난처 가설과 교역상대국

황석준 한국환경정책학회 2010 한국환경정책학회 학술대회논문집 Vol.2010 No.2

본 논문은 최근 개발된 쌍방향 공간선별이론(two-way spatial sorting, Okubo and Rebeyrol, 2006)에 바탕을 두고 오염피난처를 식별하기 위한 조건을 제시하고 이에 따라 오염피난처의 존재에 대해서 실증 분석하였다. 실증 분석 결과 지출규모가 크고 공간집적에 따른 외부효과의 크기가 크면서 환경구제수준이 낮은 국가일수록 오염피난처를 제공할 여지가 큰 것으로 확인되었다.

The Effect of Leadership on Organizational Commitment and Job Satisfaction in the Organizational Crisis Following the Integration of Organizations

황석준 한국융합과학회 2018 한국융합과학회지 Vol.7 No.4

Pupose : Organizational integration is an extreme case of organizational change. This severe organizational change can be defined as a kind of organizational crisis. In order to respond to this kind of organizational crisis successfully, leadership is important because employees’ attitudes towards an organizational change are strongly dependent on the managerial roles of leaders in the organization. Therefore, it is important to investigate what leadership roles are most desirable for employees in the midst of government reorganization. Additionally, it is also beneficial to know what type of demographic characteristics of employees should be considered for effective strategic change management in terms of reinforcing their organizational commitment and job satisfaction. Methods : The survey for this study was conducted to the employees in the Ministry of Strategy and Finance at the beginning of Lee Myung-Bak’s administration. The total of respondents numbered 207 and the response rate was 21.0%. Multiple regression analyses is used for the statical analysis. Conclusion : The results show that the facilitator or mentor roles are desirable for organizational commitment while producer and director roles are better for job satisfaction. Also, organizational commitment and job satisfaction are not affected by the same demographic variables of employees: an employee’s position statistically associates with organizational commitment, while an employee’s tenure associates with job satisfaction.

동태거시모형을 통한 자치단체 재정지출사업 분석 - 경상북도 기초자치단체의 산업별 효과를 중심으로 -

황석준,전주용,김종웅 한국지역사회학회 2013 지역사회연구 Vol.20 No.4

We develop the model which can evaluate the economic effects of fiscal expenditure among regional or local provinces. Especially, we narrow our focus on the effects on the industries located in the fundamental local governments. To do this, we reorganize the regional input-output table, released by the Bank of Korea to get the input-output table for Gyeongbuk province. We combine this table with regional dynamic macro economic model, so called InterDyme. With this we analyze the effect of fiscal policy driven by allied fundamental local governments.

Can Korea Provide a Pollution Haven for China? : A Theoretical Approach to Identify the Pollution Haven Hypothesis

황석준,박명섭,신수용 한국무역학회 2015 Journal of Korea trade Vol.19 No.1

distribution of industries to be dependent on the differences in regulations with ‘dirtier’ firms locating to countries with less stringent regulations. However, the post NAFTA (North America Free Trade Agreement) experience seems to fly in the face of the hypothesis. Given a likely free trade agreement between China and Korea in the near future, it is important to understand the likely implication of such an agreement. Should we expect outcomes in line with the hypothesis or more in line with the NAFTA experience? We propose a model which bridges the gap between previous models and empirical findings by explaining the spatial distribution of firms based on the directly observable and tangible factors such as trade costs, regulation compliance costs and potential market size rather than on the existence of transboundary pollution. The existence of a spatial equilibrium is highlighted as a key factor in identifying the PHH. This discerns the China‐Korea case from the NAFTA experience.

Correlation Between Tractor Variables and Loan Support Limit in South Korea Through Regression Analysis

황석준,김정훈,장문경,남주석 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.3

Purpose The correlation between the major variables of tractors and the loan support limit was investigated through regression analysis. Methods The loan support limit according to engine power,weight, engine displacement, width, length, and height was surveyed for 118 tractors commercially available in South Korea. Simple linear regression analysis was performed to understand the effects of the individual variables on the loan support limit. Furthermore, the major variables with a high correlation with the loan support limit were selected through Pearson correlation analysis, and multiple linear regression analysis was performed. Results Simple regression models and multiple regression models were derived to predict the tractor loan support limit. The coefficient of determination and the root mean square error were calculated to determine the accuracy of each regression model. In the simple linear regression analysis, the coefficient of determination of the engine-power-based regression model was the highest (0.87), followed by weight, engine displacement, width, length, and height. Similarly, the root mean square error was the smallest in the engine-power-based regression model at 3,770,370 KRW. As a result of performing multiple linear regression analysis using engine power and weight, which exhibited a correlation coefficient of 0.8 or higher in Pearson correlation analysis, the coefficient of determination and the root mean square error were 0.88 and 3,699,940 KRW, respectively. Conclusion As the multiple regression model with engine power and weight as variables has a high coefficient of determination and small root mean square error, it is considered the most suitable for predicting the tractor loan support limit. The developed prediction model can save time and greatly help the decision-making process of farmers for purchasing agricultural tractors.

Prediction Model of Loan Support Limit of Plows and Rotavators Used in South Korea by Regression Analysis

황석준,김정훈,장문경,남주석 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.3

Purpose This study predicts the loan support limit using main variables of plows and rotavators by regression analysis. Methods The study collected and analyzed the data on loan support limit, rotary tilling width, the power required, and the number of rotary blades from 360 units of commercial rotavators in South Korea. Additionally, loan support limit, plowing width, the power required, and weight were investigated for 80 units of plows commercially available in South Korea. Simple and multiple linear regression analyses were conducted to examine the effect of variables on the loan support limit. Results Simple and multiple regression models for the prediction of the loan support limit of plows and rotavators were developed. The coefficient of determination (R2) and root mean square error (RMSE) were derived to evaluate the accuracy of each regression model. In the case of plows, the R2 and RMSE of the weight-based simple regression model showed the highest performance of prediction for the loan support limit, followed by the models based on power required and plowing width variables. In the case of rotavators, R2 and RMSE of a simple regression model based on rotary tilling width showed the highest prediction accuracy of loan support limit, followed by the models based on power required and the number of rotary blades variables. Conclusions For plows and rotavators, multiple regression models have a higher R2 and a smaller RMSE compared to the simple regression models, demonstrating their adequacy for the prediction of the loan support limit. The developed prediction model can be helpful to save time and make a suitable decision for farmers to purchase tractor implements.