• School Mathematics
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• v.18 no.1
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• pp.1-14
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• 2016

In this paper, in order to lay the foundation for clearly determining the scope of contents handled in elementary math textbooks in Korea, what may be issues are discussed with respect to the contents handled in the current math textbooks. First of all, handling of percent point, concave polygons, and possibilities of event that will happen are discussed, the handling of them can be a issue in the sense of inconsistencies to the curriculum. Next, handling of fractions attaching units of discrete quantities and fractions attaching 'times' are discussed, the handling of them can be a issue in the sense of gap between everyday life and definition in math textbooks. Finally, handling of representing natural numbers into fractions and the positional relationship of geometrical figures are discussed, the handling of them can be a issue in the sense of a logical jump. The following three implications obtained from these discussions are presented as conclusions. First, it is necessary to establish clearly the relationship of textbooks and curriculum. Second, it is necessary to give attention to using the way to define or deal with concepts in math textbooks mixed with the way to use them in everyday life. Third, it is necessary to identify and eliminate the logical jumps in math textbooks.

• Environmental and Resource Economics Review
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• v.5 no.2
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• pp.279-290
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• 1996

정부의 환경규제로 인하여 한국 제조업의 기업들이 공해방지시설을 의무적으로 설치해야할 경우, 이는 생산비증가와 신규투자의 위축 및 생산요소간 조합비율에 영향을 미침으로써 직 간접적으로 생산성의 감소를 초래한다. 본 연구에서는 인과추정법(因果推定法)으로 측정한 그레이 (Gray, 1987)의 모형을 통하여 환경규제가 한국 제조업의 생산성에 미치는 효과를 측정하였다. 측정결과, 규제로 인하여 연평균 0.58퍼센트 포인트만큼의 생산성감소효과가 있었다. 여기에는 생산성증가율 계산상의 '측정효과(測定效果)'만 존재하고 생산과정의 제약, 신규투자의 위축, 다른 생산요소의 생산성감소로 인하여 총생산성이 감소되는 '실질효과(實質效果)'는 발생하지 않았다.

• Journal of the Korean Regional Science Association
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• v.34 no.1
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• pp.61-75
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• 2018

The study on urban regeneration began in 2006 and has actively proceeded for 10 years. Also, there are a lot of studies related to urban regeneration have analyzed urban regeneration effects but have just focused on qualitative analysis. Therefore, this study has intended to analyze the urban regeneration effects of Junang-Dong, a central business district in Cheong City, where urban regeneration projects have been undertaking, in the manner of quantitative analysis. To reach this objective, we selected such indicators as floating population, public land price, a and vacancy rate, and set analysis time span from 2011 to 2016, when urban regeneration projects have been actively operated. As a result, this study has found the following results. 1) As for floating population, population index grew gradually and showed an drastic increase of about 65 percent in 2014 when the project was active. 2) Public land price of Jungang-Dong has been showed the greatest increase from 2011 to 2012 when the city started to regenerate, and slight decrease from 2015 to 2016 with the gradual decrease until 2015. 3) In terms of vacancy rate, there has been declined about 15 percent from 27 percent to 12 percent, with a steady downward curve. This study has dedicated itself to analyzing the urban regeneration effects quantitatively especially in commercial business district.

• Korean Journal of Legislative Studies
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• v.26 no.2
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• pp.113-140
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• 2020

This study is meaningful in that it is the first analysis of Korean elections using the concept of spatial autocorrelation. Spatial autocorrelation means that an event occurring in one location in space has a high correlation with an event occurring in the surrounding area. The voter turnout rate in the 21^st general election of Seoul area was divided into the early-voting turnout and voting-day turnout, and the spatial pattern of the turnout was examined. Most of the previous studies were based on the unit of the precinct and personal data, but this study analyzed on the basis of the lower unit, Eup-myeon-dong, and analyzed using spatial data and aggregate data. Moran I index showed a fairly high spatial autocorrelation of 0.261 in the voting-day turnout, while the index of the early-voting turnout was low at 0.095, indicating that there was little spatial autocorrelation despite statistical significance. The voting-day turnout, which showed strong spatial autocorrelation, was compared and analyzed using the OLS regression model and the spatial statistics model. In the general regression model, the coefficient of determination R² rose from 0.585261 to 0.656631 in the spatial error model, showing an increase in explanatory power of about 7 percentage points. This means that the spatial statistical model has high explanatory power. The most interesting result is the relationship between the early-voting turnout and the voting-day turnout. The higher the early-voting turnout is, the lower the voting-day turnout is. When the early-voing turnout increases by about 2%, the voting-day turnout drops by about 1%. In this study, the variables affecting the early-voting turnout and the voting-day turnout are very different. This finding is different from the previous researches.