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Huong-Thi Bui,Uuriintuya Odsuren,정문선,서정욱,김상용,박봉주 인간식물환경학회 2022 인간식물환경학회지 Vol.25 No.1
Background and objective: Particulate matter (PM) is the most dangerous form of air pollution, and causes many diseases. Plants act as bio-filters to help reduce PM in the atmosphere. PM also influences the growth of plants, so selecting suitableplant species for specific environmental conditions is very important. The air pollution tolerance index (APTI) was used todetermine the tolerance level of each plant species to air pollution. The purpose of this study was to determine thetolerance to air pollution of various plant species in order to identify plant species that can be grown in pollutedenvironments; this was achieved by evaluating the APTI of plants. This study analyzed the biochemical parameters of 12plant species at two sites with different air pollution levels (urban forest and roadside) to assess and compare the APTI ofplant species. Methods: The healthy leaves of 12 plant species (6 broad leaves and 6 needle leaves) that are commonly used in landscapesin Korea were chosen for this study. The same plant species were collected from two sites with different pollution levelsand were analyzed immediately; one site was an urban forest (Chungcheongbuk-do Forest Environment Research Institute)with an area of 25 ha and featuring high vegetation coverage, while the other was at a high-traffic roadside next to acrossroads near the Cheongju Express Bus Terminal. We used the leaf samples to analyze four biochemical parameters ofeach plant: leaf extract pH (pH), relative leaf water content (RWC), total chlorophyll (TChl), and ascorbic acid. Finally, basedon these values, APTI values were calculated. Results: The APTI values were different between all 12 plant species at both sites with different levels of pollution. APTIhad a significant correlation with the biochemical parameters of plants. Plants in the urban forest and at the roadsideshowed APTI values ranging from 6.89-9.37 and 7.57-9.94, respectively. The APTI of the roadside plant species tendedto be higher than that of the plants from the urban forest. Among 12 plant species, Acer palmatum, Acer buergerianum,and Pinus densiflora had high APTI values. These plant species can serve as biofilters in environments with high airpollution. Conclusion: The APTI of the 12 plant species in this study can aid in the selection of suitable plant species fromenvironments with different levels of air pollution. The high APTI of some roadside plant species may show their toleranceunder environmental pollution-related stress, or demonstrate their adaptability to the polluted environment. In the future,we need to examine more plant species under various environmental conditions to understand their tolerance levels to airpollution and to correlate plants with air pollution. Further, more studies on other air pollutants that can influence plantgrowth, such as SO2 and NOx, should be conducted.
Factors Affecting Consumer’s Choice of Retail Store Chain: Empirical Evidence from Vietnam
Thu Thi BUI,Huong Thi NGUYEN,Long Dai KHUC 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4
The study explores the factors affecting the brand selection behavior of retail chains in Vietnam and to what extent they have an impact on the customer’s choice intention. This research employs a combination of both qualitative and quantitative mixed methods with the help of SPSS version 22.0 in data analysis. Expert interviews are used to design the questionnaire for the survey conducted on 700 consumers. Research results show that the eight factors of store image (1-to-3 split factor of store image including the display of goods and services), price perception, risk perception, brand attitude, brand awareness, and brand familiarity were determined. They all influence the intention to choose the retail chain brand. With a positive β coefficient, the more store image, price perception, brand attitude, and brand awareness are enhanced, the more likely the intention to choose the retail chain brand. The factor of risk perception has negative β, resulting in an inverse impact on choosing a retail chain brand name. Price perception and risk perception have the strongest impact on retail chain decision behavior while commodity display factors the least. Based on these important results, the study proposes implications for retailers and manufacturers.