PURPOSES : This study estimates the effects of traffic safety policies (e.g., the Minsik Act) on the seriousness of traffic accidents in children protection zones. METHODS : A difference-in-differences framework in which the change in the gap of seriousness of traffic accidents occurring in children protection zones and those occurring outside the zone before and after the implementation of the Minsik Act was applied. Furthermore, a placebo test, in which the samples are restricted to a specific period, is irrelevant to the time of students going to school. RESULTS : On average, when the factors causing traffic accidents are not controlled, the degree of damage in traffic accidents in children protection zones appears to be more serious The introduction of the Minsik Act has been shown to reduce the damage from traffic accidents in children protection zones. In particular, illegal U-turns and signal violations increased the severity of traffic accidents in children protection zones, and trucks caused the greatest damage. CONCLUSIONS : The traffic safety policy for children protection zones (Minsik Act) is effective in improving traffic safety by simply “strengthening legal regulations.” This strengthens the importance of traffic safety education to prevent drivers from engaging in driving behaviors such as illegal U-turns and traffic signal violations. It is necessary to ensure the traffic safety of children by establishing a truck operation policy that bypasses children protection zones.

이 논문의 목적은 축사시설현대화 사업에 참여한 농가들이 사업 참여에 따라 생산성에 얼마나 향상을 가져왔는지를 계측하는 것이다. 분석 방법으로는 이중차분법을 사용하였다. 실험군 농가에 해당하는 사업참여농가들은 농협경제지주에서 보유한 사업참여농가들의 자료를 사용하였다. 대조군 농가에 해당하는 자료들은 통계청의 축산물생산비통계 조사를 위해 선정된 표본 농가들의 자료를 사용하였다. 이중차분법을 이용한 사업참여 의 순효과를 계측한 결과, 한우는 1등급 이상 출현율이 10.7%p 만큼 상승하였다. 젖소 농가들의 두당 착유량은 2.8% 증가하였다. 돼지 농가들의 PSY는 5.8% 증가하였다. 육계 농가들의 일당증체량은 4.5% 증가하였다. 산란계 농가들의 산란율은 5.2%p 상승한 것으로 나타났다. 이러한 결과는 선행연구들과 비교할 때 정도의 차이는 있지만 축사시설현대화 사업이 생산성에 긍정적인 영향을 미친다는 점에서 동일하다.

This study analyzed the performance of the national fishing port development project, which lacked ex-post impact evaluation despite a lot of investment in terms of fishery income opportunities. Using micro data from the Census of Agriculture, Forestry, and Fisheries, the sales amount of fishery products and the proportion of fishery-related businesses were used as performance indicators. The fishery households in the fishing port area (treatment group) and those not in the area (control group) were classified through data pre-processing, and factors unrelated to the fishing ports were controlled using the propensity score matching difference-in-difference method. The analysis target is six fishing ports with large investment in from 2010 to 2014. As a result of the analysis, it was confirmed that the sales of fishery products increased significantly in four of the six fishing ports, and the proportion of fishery-related businesses increased in two fishing ports. The analysis method of this study can be fully utilized in the evaluation of the Fishing Community New Deal 300 Project, which is in need of performance analysis.