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The Relationship between Top Female Executives and Corporate Investment: Empirical Evidence from Vietnamese Listed Firms

  • PHAN, Quynh Trang
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.305-315
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    • 2021
  • This study aims to investigate the relationship between the difference in gender of top executives and corporate investment. In addition, this study also extends to how the sensitivity of investment to cash flow varies with the gender of leaders. Finally, the effect of the gender of leaders on firm investment is also tested across firm types (state firms vs. private firms and high-growth firms vs. low-growth firms). Based on the dataset of Vietnamese listed firms over 2007-2017, the fixed-effect model is used to test the hypotheses. The results show that women as chairs of the board tend to lower corporate investment, whereas the gender of CEOs (Chief Executive Officers) does not influence the investment level. Moreover, top female executives are associated with a decrease in the sensitivity of investment to cash flow. These regression results also show that top female executives only have an impact on the rate of investment in private and low-growth firms. The findings of this study are useful for the board of directors in selecting a chairperson in line with the firm's strategies. Furthermore, the findings of this study are also meaningful for policymakers who should monitor the separate role of the CEO and chair of the board in a company.

A Qualitative Approach for using '99 Korean Top Ten Pieces of News of the Environmental Field in the Environmental Issue Education (99년 한국의 10대 환경 뉴스'의 환경 쟁점 수업에의 활용 가능성 고찰)

  • 구수정;김영신;박윤복
    • Hwankyungkyoyuk
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    • v.13 no.2
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    • pp.24-37
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    • 2000
  • Korean civil and environmental organizations had selected and announced ‘The top ten pieces of news in the environmental field of the year’ on Dec. 2, 1999. This study investigated the possibilities that these could be used as subject matters of environmental curriculum and infused into the environmental textbook of secondary schools, referring to documents and internet materials. The top ten pieces of environmental news could be clarified as controversial topics. The locality was analyzed that 2 pieces occurred mainly in a specific area, 4 pieces in several areas and 4 pieces around all over the country. Most of them had the opposing partners as the federal and local governmental vs. civil organizations and people. Each of them could be used as subject matters for 7 to 13 contents domains of the 6th and 7th Korean environmental curriculum. The knowledge of most of them had related counterpart concepts to be infused into the ‘Environmental Science’textbook for the high school students. The results suggested that more concerns and efforts are needed to deal and use these controversial issues as real world problems of Korea in the environmental education practices

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The Top-K QoS-aware Paths Discovery for Source Routing in SDN

  • Chen, Xi;Wu, Junlei;Wu, Tao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2534-2553
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    • 2018
  • Source routing is the routing scheme that arranges the whole path from source to target at the origin node that may suit the requirements from the upper layer applications' perspective. The centralized control in SDN (Software-Defined Networking) networks enables the awareness of the global topology at the controller. Therefore, augmented source routing schemes can be designed to achieve various purposes. This paper proposes a source routing scheme that conducts the top-K QoS-aware paths discovery in SDN. First, the novel non-invasive QoS over LLDP scheme is designed to collect QoS information based on LLDP in a piggyback fashion. Then, variations of the KSP (K Shortest Paths) algorithm are derived to find the unconstrained/constrained top-K ranked paths with regard to individual/overall path costs, reflecting the Quality of Service. The experiment results show that the proposed scheme can efficiently collect the QoS information and find the top-K paths. Also, the performance of our scheme is applicable in QoS-sensitive application scenarios compared with previous works.

Top-executives Compensation: The Role of Corporate Ownership Structure in Japan

  • Mazumder, Mohammed Mehadi Masud
    • The Journal of Asian Finance, Economics and Business
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    • v.4 no.3
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    • pp.35-43
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    • 2017
  • This paper explores the impact of corporate control, measured by ownership structure, on top-executives' compensation in Japan. According to agency theory, the pay-performance link is expected to be affected by the firm's ownership structure. Using a sample of 4,411 firm-year observations (401 firms for the 11-years period from 2001 to 2011) for Japanese non-financial firms publicly traded on the first section and second section of the Tokyo Stock Exchange (TSE), this study demonstrates that institutional ownership (both financial and corporate) is negatively related to the level of executives' compensation. Such finding is in line with efficient monitoring hypothesis which claims that the presence of institutional shareholders provides direct monitoring over managers, limits managerial self-dealing and curves the increase in top-executives pay. On the other hand, the results also show that managerial ownership is positively related to their compensation which supports managerial power theory hypothesis, i.e. management-controlled firms are more likely to extract more compensation from the business than other firms. Overall, this study confirms that corporate control has significant impact on cash compensation paid to Japanese top-executives after controlling the conventional pay-performance relationship.

Deep Learning Framework with Convolutional Sequential Semantic Embedding for Mining High-Utility Itemsets and Top-N Recommendations

  • Siva S;Shilpa Chaudhari
    • Journal of information and communication convergence engineering
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    • v.22 no.1
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    • pp.44-55
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    • 2024
  • High-utility itemset mining (HUIM) is a dominant technology that enables enterprises to make real-time decisions, including supply chain management, customer segmentation, and business analytics. However, classical support value-driven Apriori solutions are confined and unable to meet real-time enterprise demands, especially for large amounts of input data. This study introduces a groundbreaking model for top-N high utility itemset mining in real-time enterprise applications. Unlike traditional Apriori-based solutions, the proposed convolutional sequential embedding metrics-driven cosine-similarity-based multilayer perception learning model leverages global and contextual features, including semantic attributes, for enhanced top-N recommendations over sequential transactions. The MATLAB-based simulations of the model on diverse datasets, demonstrated an impressive precision (0.5632), mean absolute error (MAE) (0.7610), hit rate (HR)@K (0.5720), and normalized discounted cumulative gain (NDCG)@K (0.4268). The average MAE across different datasets and latent dimensions was 0.608. Additionally, the model achieved remarkable cumulative accuracy and precision of 97.94% and 97.04% in performance, respectively, surpassing existing state-of-the-art models. This affirms the robustness and effectiveness of the proposed model in real-time enterprise scenarios.

SVM on Top of Deep Networks for Covid-19 Detection from Chest X-ray Images

  • Do, Thanh-Nghi;Le, Van-Thanh;Doan, Thi-Huong
    • Journal of information and communication convergence engineering
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    • v.20 no.3
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    • pp.219-225
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    • 2022
  • In this study, we propose training a support vector machine (SVM) model on top of deep networks for detecting Covid-19 from chest X-ray images. We started by gathering a real chest X-ray image dataset, including positive Covid-19, normal cases, and other lung diseases not caused by Covid-19. Instead of training deep networks from scratch, we fine-tuned recent pre-trained deep network models, such as DenseNet121, MobileNet v2, Inception v3, Xception, ResNet50, VGG16, and VGG19, to classify chest X-ray images into one of three classes (Covid-19, normal, and other lung). We propose training an SVM model on top of deep networks to perform a nonlinear combination of deep network outputs, improving classification over any single deep network. The empirical test results on the real chest X-ray image dataset show that deep network models, with an exception of ResNet50 with 82.44%, provide an accuracy of at least 92% on the test set. The proposed SVM on top of the deep network achieved the highest accuracy of 96.16%.

A study on potassium deficiency symptoms of flue-cured tobacco. (Interrelationship of nitrogen and potassium contents in leaves of stalk position applied with fertilizer levels) (황색종잎담배의 칼륨결핍증에 관한 연구 (시비수준에 따른 엽위 및 엽부위별 질소와 칼륨함량의 상호관계))

  • 홍순달;이윤환;김재정
    • Journal of the Korean Society of Tobacco Science
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    • v.4 no.1
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    • pp.29-35
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    • 1982
  • Potassium deficiency symptoms were studied with flue-cured tobacco which was applied with different levels of compound fertilizer (10-15-20) ; 75kg, 100hg, and 125kg/10a. Ratio of N/$K_2O$ in leaves was increased from bottom to top stalk position due to the increase of nitrogen content in leaves. Nitrogen content in leaves was increased from stalk to tip as wall as from midrib to laminae, but vice versa in potassium content. Consequently, resulting in potassium deficiency symptoms in tip of leaves. Rate of reabsorption by rainfall during the latter part of growth was highest at top stalk position in case of nitrogen, but lowest in potassium. This observation was more evident with higher application rate of fertilizer. Nitrogen content of about 4 % in leaves of top stalk position applied with 125kg/10a was maintained up to 85days after trans planting. No increase in potassium in upper leaves was observed over the level of 100kg/10a fertilizer application. As the result, N/$K_2O$ ratio in leaves of top stalk position applied with 125kg/10a was kept at more than 1.0 up to 85days after transplanting, but it was less than 0.9 at 65days after tracts planting with less than 100kg/10a fertilizer application.

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Abstracted Partitioned-Layer Index: A Top-k Query Processing Method Reducing the Number of Random Accesses of the Partitioned-Layer Index (요약된 Partitioned-Layer Index: Partitioned-Layer Index의 임의 접근 횟수를 줄이는 Top-k 질의 처리 방법)

  • Heo, Jun-Seok
    • Journal of Korea Multimedia Society
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    • v.13 no.9
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    • pp.1299-1313
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    • 2010
  • Top-k queries return k objects that users most want in the database. The Partitioned-Layer Index (simply, the PL -index) is a representative method for processing the top-k queries efficiently. The PL-index partitions the database into a number of smaller databases, and then, for each partitioned database, constructs a list of sublayers over the partitioned database. Here, the $i^{th}$ sublayer in the partitioned database has the objects that can be the top-i object in the partitioned one. To retrieve top k results, the PL-index merges the sublayer lists depending on the user's query. The PL-index has the advantage of reading a very small number of objects from the database when processing the queries. However, since many random accesses occur in merging the sublayer lists, query performance of the PL-index is not good in environments like disk-based databases. In this paper, we propose the Abstracted Partitioned-Layer Index (simply, the APL-index) that significantly improves the query performance of the PL-index in disk-based environments by reducing the number of random accesses. First, by abstracting each sublayer of the PL -index into a virtual (point) object, we transform the lists of sublayers into those of virtual objects (ie., the APL-index). Then, we virtually process the given query by using the APL-index and, accordingly, predict sublayers that are to be read when actually processing the query. Next, we read the sublayers predicted from each sublayer list at a time. Accordingly, we reduce the number of random accesses that occur in the PL-index. Experimental results using synthetic and real data sets show that our APL-index proposed can significantly reduce the number of random accesses occurring in the PL-index.

Effect of NaCI Concentration on Germination and Seedling Growth of Italian Ryegrass(Lolium multiflorum L.) (NaCl 농도가 이탈리안 라이그래스의 발아와 유묘생장에 미치는 영향)

  • 이강수;최선영;최철원
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.40 no.3
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    • pp.340-350
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    • 1995
  • This study was conducted to obtain the basic information for the salt stress of Italian Ryegrass. Fourteen cultivars including 7 diploid and 7 tetraploid were subjected to eight levels of NaCl treatments during germination and early seedling stages. Germination percentage decreased remarkably over 300mM of NaCl concentration. The NaCl concentration that inhibited germination of 50% of the viable seeds in the cultivars was 344mM. The decreasing degree of germination percentage was higher in tetraploid type than in diploid type. The varietal difference of germination percentage was shown to be very conspicuous as the NaCl concentration increased. Top dry weight in 166 mM NaCl was decreased by 50% compared with that of control. Inhibition of NaCl appeared to be more in early seedling stage than in germination stage. Top dry weight of cultivars in NaCl stress was not related with germination capacity. Root dry weight in 148mM NaCl decreased by 50% compared with that of control. Root dry weight of cultivars was significantly correlated with top dry weight in NaCl treatment. Top dry weight and root dry weight was higher in diploid type than in tetraploid type at each 8 levels of NaCl concentration. Total chlorophyll content increased with the increase of NaCl concentration and the degree of increase in chlorophyll a was higher than that in chlorophyll b. Chlorophyll a was higher in tetraploid type than in diploid type. But chlorophyll b was higher in diploid type than in tetraploid type. There were significant correlation between chlorophyll a and top dry weight of cultivars over 150mM of NaCl concentration. Free proline content accumulated remarkably in NaCl treatment compared with control and was not difference between diploid type and tetraploid type. Free proline content of cultivars was not related with top dry weight in NaCl treatment.

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Investigating Statistical Characteristics of Aerosol-Cloud Interactions over East Asia retrieved from MODIS Satellite Data (MODIS 위성 자료를 이용한 동아시아 에어로졸-구름의 통계적 특성)

  • Jung, Woonseon;Sung, Hyun Min;Lee, Dong-In;Cha, Joo Wan;Chang, Ki-Ho;Lee, Chulkyu
    • Journal of Environmental Science International
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    • v.29 no.11
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    • pp.1065-1078
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    • 2020
  • The statistical characteristics of aerosol-cloud interactions over East Asia were investigated using Moderate Resolution Imaging Spectroradiometer satellite data. The long-term relationship between various aerosol and cloud parameters was estimated using correlation analysis, principle component analysis, and Aerosol Indirect Effect (AIE) estimation. In correlation analysis, Aerosol Optical Depth (AOD) was positively Correlated with Cloud Condensation Nuclei (CCN) and Cloud Fraction (CF), but negatively correlated with Cloud Top Temperature (CTT) and Cloud Top Pressure (CTP). Fine Mode Fraction (FMF) and CCN were positively correlated over the ocean because of sea spray. In principle component analysis, AOD and FMF were influenced by water vapor. In particular, AOD was positively influenced by CF, and negatively by CTT and CTP over the ocean. In AIE estimation, the AIE value in each cloud layer and type was mostly negative (Twomey effect) but sometimes positive (anti-Twomey effect). This is related to regional, environmental, seasonal, and meteorological effects. Rigorous and extensive studies on aerosol-cloud interactions over East Asia should be conducted via micro- and macro-scale investigations, to determine chemical characteristics using various meteorological instruments.