• 제목/요약/키워드: Business Climate

검색결과 372건 처리시간 0.023초

온실가스배출 감소와 연료절감을 위한 최적 운용절차 방안에 관한 연구 (A Study of Optimized Operation for CO2 Emission and Aircraft Fuel Reduced Operation Procedures)

  • 황정현;이태광;황사식
    • 한국항공운항학회지
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    • 제21권4호
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    • pp.62-70
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    • 2013
  • As the aviation industry looks to the future, fuel saving and $CO_2$ emission reduction play a dominant role in meeting the business challenges presented by global financial uncertainty. The IATA and International Government effort to save fuels, and then save 4 billion gallons of fuel burned, while reducing $CO_2$ emissions by 34 million tons. The various reduction methods adapted airlines and airports. We focused on optimized flight operation procedures for saving fuel and reduction emission cases. IATA and Canada government research reports focused on four methods that Engine Core Washing, Portable Water Management, Single Engine Taxi, APU limit operation. Apply to domestic airlines fuel data, Engine Core washing was saving more than Twenty-four thousand tons $CO_2$ emissions.

기후변화에 따른 유통산업의 핵심 기상요인과 기업의 경제적 효율성 (Firm's Economic Efficiency and Critical Weather Information in Distribution Industry by Climate Change)

  • 이중우;고광근;전진환
    • 한국환경과학회지
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    • 제19권6호
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    • pp.787-797
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    • 2010
  • Nowadays meteorological information is systemized as a useful knowledge which has a significant effect on the overall industrial domains over the simple data. The distribution industry, which has the short life cycle, depends on the meteorological information at the strategic level. However, it is necessary to pay attention to the continuous investment in meteorological information because there is a hostility to paying for a service, particularly it does not provide accurate and reliable information. Therefore, the purpose of this study is to increase the usefulness of meteorological information in the distribution industry for its economic effectiveness from the core meteorological factors. We found significant meteorological factors (temperature, precipitation, disaster) that have a critical influence on the distribution industry through the hierarchical analysis process, and their importance according to the type of distribution channels, such as department store, large-scale discount store, convenience store, and home shopping. We performed the AHP analysis with 103 survey samples by middle managers from the various distribution channels. We found that precipitation is the critical meteorological factor across the distribution industry. Based on this result, we stress the difference in the level of the meteorological information in order for the effectiveness of each type of distribution channels.

가뭄대비 농업용 지하댐 적지 평가 지표 개발 - 계층분석과정의 적용 - (Development of Suitable Sites Assessment Criteria for Agricultural Subsurface Dam for drought Management using Analytic Hierarchy Process (AHP))

  • 명우호;송성호
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제22권6호
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    • pp.37-47
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    • 2017
  • Climate change has often resulted in severe droughts in a rice-farming season (i.e., April to June), and the large amount of water resources were needed to cope with droughts during the season. Therefore, the subsurface dam, which is able to store groundwater resources in the alluvium aquifer, has been considered to be an alternative for securing more groundwater resources. In this study, suitable sites assessment criteria for agricultural subsurface dam using analytic hierarchy process (AHP) were established for adequate drought management. Moreover, the criteria were applied to the existing five agricultural subsurface dams to verify their applicability of groundwater supply for each subsurface dam. The assessment criteria were divided into three major categories (geology, hydrology and business condition) and classified to 12 individual sub-categories with weighting. From the assessment, Ian subsurface dam and Wooil subsurface dam were identified as the best and the worst suitable site, respectively, and this result was in accordance with the average amount of annual groundwater supply by each subsurface dam during the period of 2011-2017.

전북특산 한약재에 의한 농가소득증대 방안 연구 (A Study on How to Increase Farmhouse Income by Production of Specialty Herbal Medicine in Chollabuk-Do Province)

  • 오천식;정종길;신민교
    • 생약학회지
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    • 제31권4호
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    • pp.438-448
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    • 2000
  • This paper is concerned about how to increase household income by cultivation of specialty herbal medicines in JeonBuk Province, which is summarized as below: 1. Specialty plant cultivation is considered appropriate in this province, since the quality of soil is good and sandy, together with the warmer climate and little rainfall. 2. It is recommended for the efficiency of production that the cultivation is performed item by item in large scales, for which it is desirable to organize working group unit for each specialty plant item. 3. It is suggested to establish a special union, such as a venture company model, for the effective processing of specialty plants into herbal medicines. 4. It is desirable that the processed herbal medicine products are supplied to consumers via a direct distribution route. 5. It is supposed possible that foods And drugs can be further developed from herbal medicines, which can make extra business.

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Anti-inflammatory Effect of Lactic Acid Bacteria Isolated from Kimchi on Acid-induced Acute Colitis in Model Mice

  • Lee, Soo Youn;Sekhon, Simranjeet Singh;Kim, Hyung Cheol;Won, Kyungho;Ahn, Ji-Young;Lee, Kibeom;Kim, Yang-Hoon
    • Toxicology and Environmental Health Sciences
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    • 제9권5호
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    • pp.279-282
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    • 2017
  • Lactic acid bacteria (LAB) provide numerous beneficial effects on the host body, especially on the intestine. Two LAB strains isolated from Kimchi, Leuconostoc mesenteroides and Lactobacillus sakei, were studied for its anti-inflammatory activity in acidinduced acute colitis in mice. To induce acute colitis in model mice (C57BL/6), 3% of dextran sulfate sodium treatment was treated for 7 days. Assessment of necropsy and histopathology analysis showed that oral supplementation of both L. mesenteroides and L. sakei ameliorated the symptoms of acute colitis. Moreover, the mixture of L. meseneroides and L. sakei showed synergistic effect on colitis. The results suggest that the formulation of L. mesenteroides and L. sakei mixture could be used as an oral supplementation to decrease the inflammatory harmful environment associated with colitis.

Does FDI Affect Domestic Employment in OECD Countries?

  • WANG, Mengzhen;CHOI, Baekryul
    • The Journal of Asian Finance, Economics and Business
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    • 제8권12호
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    • pp.283-293
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    • 2021
  • To verify the employment impact of two-directional FDI, the study analyzes panel data composed of 26 OECD countries from 2006 to 2018 by using the system GMM. Furthermore, we decompose domestic employment into types of industries and skill compositions to identify the heterogeneous employment impact. The results show that inward and outward FDI at lag one period promote domestic employment at the overall level. In terms of workers' skill levels, lagged inward FDI significantly persistently promotes high-skilled workers' employment, likewise, the positive employment impact also appears with a time lag in low-skilled labor subgroups. Outward FDI, on the other hand, initially inhibits both high- and low-skilled labor demand, but then changes to a positive effect in the highskilled labor subgroups. Although there is a time difference between inward and outward FDI, it has a significant and positive impact on employment in the manufacturing and service industries. The results indicate that the relationship between manufacturing and service employment is a mutual substitute. To attract international investors, governments should promote a favorable investment climate and maintain stable economic growth. Because low-skilled labor is more susceptible to changes in FDI, policy measures are required to ensure employment stability.

Determinants of Access to Green Finance in Vietnam: An Empirical Research

  • LE, Lam Hai;PHAM, Anh Hoang Thi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권9호
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    • pp.79-89
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    • 2021
  • Green finance plays an important role in environmental protection missions and fighting climate change. The Environment Fund in Vietnam is the main channel of preferential capital offered to firms for environmental protection. Unfortunately, it was previously unknown which criteria influenced these companies' ability to obtain green financing. Using a survey method, we collected data through a structured questionnaire of 203 respondents that represent firms that had received concessional loans from 26 Environment Funds. A Multiple Linear Regression model was used to examine the determinants of access to concessional loans for environmental protection. We found relationships between age, size, ownership type, and industry sector, and access to green finance. Third-party guarantees were a significant factor in financing through Environment Funds. Moreover, we found commercial environmental projects face fewer green financing obstacles. Surprisingly, showing audited financial statements does not mitigate the information asymmetry between firms and these financial institutions. These findings suggest that Environment Funds should classify environmental project types to develop appropriate lending policies. In emerging markets, enterprises need to build a trusted relationship with financial institutions so that they can replace asset-based lending techniques, thereby increasing the firms' accessibility to green finance.

Economic Growth, Financial Development, Transportation Capacity, and Environmental Degradation: Empirical Evidence from Vietnam

  • NGUYEN, Van Chien;VU, Duc Binh;NGUYEN, Thi Hoang Yen;PHAM, Cong Do;HUYNH, Tuyet Ngan
    • The Journal of Asian Finance, Economics and Business
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    • 제8권4호
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    • pp.93-104
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    • 2021
  • In recent years, there has been a substantial theoretical and empirical study on the role that financial market development has significantly played in promoting economic growth and development in the world. The development of an economy requires the financial industry to be developed. In the context of rapid economic development, global warming has become a serious problem with issues such as rising average temperatures, climate change, rising sea level, and increasing carbon dioxide emissions. This study aims to examine the influence of economic growth, financial development, transportation capacity, and environmental degradation. Using time-series data from 1986 to 2019 and environmental degradation being measured by CO2 emissions, the study employs a quantity of ample unit root tests, the structural break unit root tests, Autoregressive Distributed Lag (ARDL), and cointegration bounds test. The results show that there is a significant long-term cointegration among study variables. Empirical findings also indicate that an increase in per capita GDP and financial development worsens environmental quality whereas transportation capacity and foreign investment can improve environmental quality.

Operational Resilience and Human Capital Toward Corporate Sustainable Longevity in Indonesian "Jamu" Industry

  • IRAWAN, Dadang;PRABOWO, Harjanto;KUNCORO, Engkos Achmad;THOHA, Nurianna
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.1035-1044
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    • 2021
  • Corporate longevity is an interesting issue from a theoretical point of view. In today's uncertain economic climate, the first priority for a company is survival. The longevity of an organization is basically one of the areas that can classify the sustainability of a company. Known as the cultural heritage of Indonesia, the traditional herbal medicine industry faces challenges of longevity. The word Jamu is a generic expression for traditional herbal medicine in Indonesia. The Jamu industry as Indonesia's cultural heritage must be preserved with good support from a technical, regulatory, and commercial perspective so that Jamu companies do not go into the decline stage. Operational resilience is usually defined as the ability of an organization to adapt rapidly to changing environments. This study aims to identify the effect of operational resilience and human capital on corporate sustainable longevity through innovation performance. The questions are addressed through empirical research of 108 small companies that produce Jamu, traditional herbal medicine in Java, Indonesia. This study was conducted during July-September 2020. Data analysis is carried out with SEM-PLS using SmartPLS software version 3.0 to evaluate the data collected. The results indicated that operational resilience influences corporate sustainable longevity directly and indirectly through innovation performance. However, human capital could not play the antecedent role to corporate sustainable longevity directly or even indirectly through innovation performance. Human capital indicators require deeper exposure in the context of small industries.

An Integrated Artificial Neural Network-based Precipitation Revision Model

  • Li, Tao;Xu, Wenduo;Wang, Li Na;Li, Ningpeng;Ren, Yongjun;Xia, Jinyue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권5호
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    • pp.1690-1707
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    • 2021
  • Precipitation prediction during flood season has been a key task of climate prediction for a long time. This type of prediction is linked with the national economy and people's livelihood, and is also one of the difficult problems in climatology. At present, there are some precipitation forecast models for the flood season, but there are also some deviations from these models, which makes it difficult to forecast accurately. In this paper, based on the measured precipitation data from the flood season from 1993 to 2019 and the precipitation return data of CWRF, ANN cycle modeling and a weighted integration method is used to correct the CWRF used in today's operational systems. The MAE and TCC of the precipitation forecast in the flood season are used to check the prediction performance of the proposed algorithm model. The results demonstrate a good correction effect for the proposed algorithm. In particular, the MAE error of the new algorithm is reduced by about 50%, while the time correlation TCC is improved by about 40%. Therefore, both the generalization of the correction results and the prediction performance are improved.