• Journal of Agricultural Extension & Community Development
• /
• v.30 no.4
• /
• pp.213-227
• /
• 2023

This paper aims to examine the farmers' perceptions of the importance and feasibility of climate change awareness and adaptive measures in agriculture, utilizing paired sample t-tests and Importance-Performance Analysis (IPA). Significant differences were found in farmers' views on the importance and urgency of climate change issues, with specific factors standing out. The IPA analysis identified key issues requiring sustained attention, including climate change magnitude, extreme weather events, livestock damage scale, pest fluctuations, and variability in flowering periods. Additionally, the study revealed significant disparities in farmers' perceptions of the importance and feasibility of adaptive measures, except for specific items related to heat indices.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.23 no.2
• /
• pp.136-148
• /
• 2016

Purpose: This study was done to investigate the level of nursing students' awareness, attitude, safety climate, and performance of infection control, and to identify factors influencing performance. Methods: The sample consisted of 239 nursing students from 5 nursing schools. Data were collected from November 15 to December 11, 2013 and analyzed by frequency, t-test, ANOVA, Pearson correlation coefficients, and multiple stepwise regression with SPSS/WIN 21.0. Results: Of the participants, 216 (90.4%) had experienced contact with infectious diseases. The performance of personal hygiene was scored the highest followed by standard precautions, transmission precautions, and vaccination. There were significant correlations between awareness, attitude, safety-climate and performance. Awareness, safety-climate, attitude, contents of infection control education, and direct exposure to infectious disease collectively explained 30% of the variance in performance, and awareness was the most influential factor. Conclusion: The results indicate that performance of infection control by nursing students can be increased if awareness, safety climate, attitude, and contents of infection control education are improved, and exposure to infectious disease is decreased. These findings can be utilized to improve performance by developing education programs for infection control.

• Journal of Environmental Science International
• /
• v.26 no.12
• /
• pp.1363-1374
• /
• 2017

Global climate change caused by industrialization has caused abnormal weather conditions such as urban temperatures and tropical nights, urban heat waves, heat waves, and heavy rains. Therefore, the study tried to analyze climate conditions and weather conditions in the streets and analyze climate factors and meteorological factors that lead to inconvenience to citizens. In the case of trees, the overall temperature, surface temperature, solar irradiance, and net radiation were measured low, and the temperature was lower in the Pedestrian road than in roads. The dry bulb temperature, the black bulb temperature, and the wet bulb temperature for the thermal evaluation showed the same tendency. In the case of thermal evaluation, there was a similar tendency to temperature in WBGT, MRT, and UTCI, and varied differences between types. Although the correlation between the meteorological environment and the thermal environment showed a statistically significant significance, the difference between the measured items was not significant. The study found that the trees were generally pleasant to weather and thermal climate in the form of trees, and the differences were mostly documented.

• Journal of Korean Academy of Nursing Administration
• /
• v.16 no.1
• /
• pp.86-100
• /
• 2010

Purpose: This study was done to examine the relationship of job satisfaction and organizational commitment of perioperative nurses. Method: The subjects of this study were 500 perioperative nurses from 11 hospitals. The data were collected by self-reporting questionnaires from Sep. 19 to Sep. 27, 2009. Results: There was statistically significant relationship among the five variables. The analyses of covariance of these five variables revealed overall significant (p<.05). Stepwise linear multiple regression analyses were used to examine the influence of these five variables. Results indicated that the variables for verbal abuse (p<.01), workplace climate (p<.01), internal marketing (p<.001), and job transfer (p<.001) contributed significantly to the job satisfaction (adjusted R square=.426), while the verbal abuse (p<.01), internal marketing (p<.01), leadership style (p<.001) and workplace climate (p<.001) did to the organizational commitment (adjusted R square=.351). Canonical correlation analyses revealed that internal marketing and workplace climate contributed most significantly both to job satisfaction and organizational commitment. Conclusion: This study found that all these five nursing managerial factors were important influential on both job satisfaction and organizational commitment of perioperative nurses. Addressing these factors with further research will surely improve the commitment of these nurses and ultimately lead to better perioperative nursing care.

• Journal of the Korean Society of Safety
• /
• v.21 no.4 s.76
• /
• pp.127-133
• /
• 2006

The major purpose of this paper to identify safety climate practices, and to find the affecting variables that influence to the difference in the level of safety climate between plants and employees. And this paper attempted to find the interventions for improving safety climate in the chemical plants. The questionnaires were developed from literature review, especially made by HSE(Health and Safety Executive) in the UK and distributed to managers and workers. The frequency analysis was applied for identifying the level of safety climate. The affecting variables(plant size, accident occurrence, accident experience, injury experience and severity, and length of employment) are tested through analysis of variance(ANOVA). The results of frequency analysis showed that both managers and workers recorded generally high level of safety climate, and the major underlying problems are inadequate H&S procedures/rules, pressure for production, and rule breaking. According to the outcomes of ANOVA, the variable 'length of employment' is the only variable which makes the level of safety climate different. From the survey of safety climate practice, this study finds the level of safety climate and three major underlying problems in safety climate factors of the responded plants, and presents two interventions for improving safety performance. Despite of these outcomes, the applied factors are remained questionable for reflecting as the best ones for identifying safety climate in the chemical industry. In addition, the bias caused by self-report exist in the reliability of the response, and the equivalent size of respondents.

• Environmental and Resource Economics Review
• /
• v.19 no.2
• /
• pp.383-411
• /
• 2010

Climate change and related policies and regulations influence the performance of the firms in various ways. Climate change influences corporate competitiveness through physical impacts, GHG regulations, changes in asset values, demand shift, etc. Therefore, corporate competitiveness could be maintained by reducing vulnerability to climate change and adapting to new circumstances. Without effective responses to the challenges, the firms would have difficulties in maintaining their competitiveness in the market and the cost of national economy will significantly increase as well. Even though it seems fairly easy to understand the meaning of competitiveness, deriving the driving forces of and measuring changes in competitiveness are complicated and disputable processes. A common way to overcome it is to develop a 'competitiveness index'. The objective of this study is to derive the main factors influencing corporate competitiveness related to climate change and develop 'competitiveness index' reflecting those factors. The index will make contribution to enhance the response capacity of the firms to climate change and increase the effectiveness of climate change policies for the industry by providing a quantitative tool to measure the changes in corporate competitiveness related to climate change.

• Journal of Climate Change Research
• /
• v.9 no.1
• /
• pp.13-29
• /
• 2018

This study presented evaluation procedure for selecting appropriate GCMs and downscaling method by focusing on the climate extreme indices suitable for climate change adaptation. The procedure includes six stages of processes as follows: 1) exclusion of unsuitable GCM through raw GCM analysis before bias correction; 2) calculation of the climate extreme indices and selection of downscaling method by evaluating reproducibility for the past and distortion rate for the future period; 3) selection of downscaling method based on evaluation of reproducibility of spatial correlation among weather stations; and 4) MME calculation using weight factors and evaluation of uncertainty range depending on number of GCMs. The presented procedure was applied to 60 weather stations where there are observed data for the past 30 year period on Korea Peninsula. First, 22 GCMs were selected through the evaluation of the spatio-temporal reproducibility of 29 GCMs. Between Simple Quantile Mapping (SQM) and Spatial Disaggregation Quantile Delta Mapping (SDQDM) methods, SQM was selected based on the reproducibility of 27 climate extreme indices for the past and reproducibility evaluation of spatial correlation in precipitation and temperature. Total precipitation (prcptot) and annual 1-day maximum precipitation (rx1day), which is respectively related to water supply and floods, were selected and MME-based future projections were estimated for near-future (2010-2039), the mid-future (2040-2069), and the far-future (2070-2099) based on the weight factors by GCM. The prcptot and rx1day increased as time goes farther from the near-future to the far-future and RCP 8.5 showed a higher rate of increase in both indices compared to RCP 4.5 scenario. It was also found that use of 20 GCM out of 22 explains 80% of the overall variation in all combinations of RCP scenarios and future periods. The result of this study is an example of an application in Korea Peninsula and APCC Integrated Modeling Solution (AIMS) can be utilized in various areas and fields if users want to apply the proposed procedure directly to a target area.

• Journal of Climate Change Research
• /
• v.4 no.4
• /
• pp.331-348
• /
• 2013

The frequency and intensity of abnormal climate caused by climate change is increasing in Korea. Also, the amount of damage from disaster is increasing rapidly. The research on vulnerability assessment analyzes environmentally, socially and economically vulnerable indicators and is ongoing to reduce the intensity of damage and establish adaptation policies for climate change. Therefore, in this study, we assessed vulnerability using weighting value derived by the regression equation. There are 3 evaluation items : vulnerability assessment for farmland erosion to flood, vulnerability assessment for health to heat wave, vulnerability assessment for forest fire to drought. For this study, indicators for each sectors were selected and spatial data for each sectors were established using GIS program. Results showed that vulnerability to heat wave was more affected by climate factors. On the other hand, vulnerability to flood and drought was more affected by social-economic factors. Then, to analysis efficiency of the regression analysis, vulnerability result was compared between the existing vulnerability research with no weighting applied and the vulnerability research with the influence of weighting value derived by the regression. This study showed that the regression analysis is efficient to provide practical and feasible alternatives in terms of planning climate change adaptation policies and it is expected to be utilized for vulnerability assessment in the future.

• Journal of Climate Change Research
• /
• v.9 no.1
• /
• pp.103-115
• /
• 2018

The uncertainty of climate scenarios, as initial information, is one of the significant factors among uncertainties of climate change impacts and vulnerability assessments. In this sense, the quantification of the uncertainty of climate scenarios is essential to understanding these assessments of impacts and vulnerability for adaptation to climate change. Here we quantified the precision of surface temperature of ensemble scenarios (high resolution (1km) RCP4.5 and 8.5) provided by Korea Meteorological Administration, with spatiotemporal variation of the standard deviation of them. From 2021 to 2050, the annual increase rate of RCP8.5 was higher than that of RCP4.5 while the annual variation of RCP8.5 was lower than that of RCP4.5. The standard deviations of ensemble scenarios are higher in summer and winter, particularly in July and January, when the extreme weather events could occur. In general, the uncertainty of ensemble scenarios in summer were lower than those in winter. In spatial distribution, the standard deviation of ensemble scenarios in Seoul Metropolitan Area is relatively higher than other provinces, while that of Yeongnam area is lower than other provinces. In winter, the standard deviations of ensemble scenarios of RCP4.5 and 8.5 in January are higher than those of December. Especially, the standard deviation of ensemble scenarios is higher in the central regions including Gyeonggi, and Gangwon, where the mean surface temperature is lower than southern regions along with Chungbuk. Such differences in precisions of climate ensemble scenarios imply that those uncertainty information should be taken into account for the implementation of national climate change policy.

• Journal of Ecology and Environment
• /
• v.34 no.2
• /
• pp.193-202
• /
• 2011

We studied temperature sensitivity characteristics of soil respiration during periods of rising and falling temperatures within a common temperature range. We measured soil respiration continuously through two periods (a period of falling temperature, from August 7, 2003 to October 13, 2003; and a period of rising temperature from May 2, 2004 to July 2, 2004) using an open-top chamber technique. A clear exponential relationship was observed between soil temperature and soil respiration rate during both periods. However, the effects of soil water content were not significant, because the humid monsoon climate prevented soil drought, which would otherwise have limited soil respiration. We analyzed temperature sensitivity using the $Q_{10}$ value and $R_{ref}$ (reference respiration at the average temperature for the observation period) and found that these values tended to be higher during the period of rising temperature than during the period of falling temperature. In the absence of an effect on soil water content, several other factors could explain this phenomenon. Here, we discuss the factors that control temperature sensitivity of soil respiration during periods of rising and falling temperature, such as root respiration, root growth, root exudates, and litter supply. We also discuss how the contribution of these factors may vary due to different growth states or due to the effects of the previous season, despite a similar temperature range.