• Management & Information Systems Review
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• v.25
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• pp.321-337
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• 2008

The house price rise suddenly is not only Economic stability but economic, mental state of a heavy burden to people. This paper is a house finance environment analyzed in this research about the rise factor of the house price and the result to present the plan to the natural disposition. The financial institute has an influence on the disguised demand extension of the house and The mortgage Lending in commercial Banks with the earnings as the stability high than the industry loaning. A house finance environment changes and will go from economic factor of the variety of the life style, the housing conditional according to the income level, a children education condition, and the population structure many this little. The disposition of the house need changes according to this and will have an influence on the house price. Necessary for a house market environment house policy of the market need which the consistency reflects so that we are suitable and is desired.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.153-166
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• 2022

The study estimates the Structured VAR and the Dynamic Stochastic General Equilibrium Model for the Vietnamese economy based on the new Keynesian model for small and open economies, with the output gap, inflation, policy interest rate, the Vietnamese exchange rate, and the inflation and interest rate in the United States. The paper aims to clarify the impulse response of the macro variables through their shocks. It offers to model the SVAR and DSGE processes, as well as describe why and how interest rate policy is important in the impulse response of macro variables like the output gap and inflation process. The study supports the central role of monetary policy by giving empirical evidence for the new Keynesian theory, according to which an interest rate shock causes the output gap to widen and inflation to decrease. Finally, the application of the DSGE model is becoming more and more popular in the State Bank of Viet Nam to improve its policy planning, analyzing, and forecasting policy towards sustainable and stable growth.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.6
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• pp.267-272
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• 2014

Customers who register at mobile banking service through startphone has 40Mil in first quarter of 2014, which was increased 8.5%(3.6Mil) compare to figure from end of year 2013. Average 1 trillion 627.6billion won is dealing through smartphone banking in daily and three for increased psychological bullying caused by malignant code which change normality to malignant. The results of the analysis current state of affairs of personal information collection management authority required in finance smartphone app service and also recommend solution for protecting finance consumers plans to minimized collecting personal information in smartphone finance app service.

• Economic and Environmental Geology
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• v.55 no.6
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• pp.617-632
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• 2022

In recent years, environmental pollution and determining the main factors causing this pollution have become an important issue. This study investigates the relationship between the agricultural sector and environmental pollution in Azerbaijan for 1992-2018. The dependent variable in the study is the agricultural greenhouse gas emissions (CO₂ equivalent). Eight variables were selected as explanatory variables: four agricultural inputs and four agricultural macro indicators. Unit root tests, ARDL boundary test, FMOLS, DOLS and CCR long-term estimators, Granger causality analysis, and variance decomposition analyses were used to investigate the effect of these variables on agricultural emissions. The results show that chemical fertilizer consumption, livestock number, and pesticide use positively and statistically significantly affect agricultural emissions from agricultural input variables. In contrast, agricultural energy consumption has a negative and significant effect. From agricultural macro indicator variables, it was found that the crop and animal production index had a positive and significant effect on agricultural emissions. According to the Granger causality test results, it was concluded that there are a causality relationship from chemical fertilizer consumption, livestock number, crop and livestock production index variables towards agricultural emissions. Considering all the results obtained, it is seen that the variables that have the most effect on the increase in agricultural emissions in Azerbaijan are the number of livestock, the consumption of chemical fertilizers, and the use of pesticides, respectively. The results from the research will contribute to the information on agricultural greenhouse gas emissions and will play an enlightening role for policymakers and the general public.

• Asia-Pacific Journal of Business
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• v.14 no.1
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• pp.131-148
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• 2023

Purpose - Since the 2020s, the management philosophy of Chinese firms' ESG has been rapidly established under the leadership of the Chinese government. We empirically analyze the ESG characteristics and effects on corporate value of Chinese firms. Design/methodology/approach - Using OLS and random effect panel regression analysis, we identify ESG determinants. In analyzing the impact on corporate value, likewise a large number of literatures, we adopt a 2SLS methodology using instrumental variables in the reason of endogeneity between ESG and firm value. We analyze using the G2SLS methodology, which is improving the efficiency of the estimation coefficients along with 2SLS. Findings - We find that ESG ratings are high in state-owned and foreign capital invested companies, ESG ratings are low in companies with a high proportion of non-floating stocks which implies information asymmetry. However, there are no significance in the institutional investor's, the major 10 largest shareholders' and manager's ownership. Furthermore, we can support most of the hypotheses that ESG ratings will be high in companies with high management performance. ESG ratings are significantly higher in companies with high ROA, rich in cash asset, low debt ratio, and large size. we strongly support the hypothesis that the higher the ESG rating, the higher the firm value, and ESG has a moderating effect on state-owned companies, non-floating shares, the ownership of institutional investors, manager, and the 10 major shareholder. In particular, state-owned companies, the proportion of non-floating shares, and the ownership of the 10 major shareholders have a negative impact on firm value, however, ESG attenuates this negative effect. Research implications or Originality - This study looks forward to enhancing our understanding of ESG characteristics in East Asia.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.337-346
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• 2022

This study explores the impact of the COVID-19 pandemic on the stock prices of state-owned enterprises listed on the Indonesia Stock exchange. The impact of the pandemic is analyzed based on different pandemic phases and the corresponding government pandemic interventions to curb the disease. This study analyzes 6 pandemic event dates, covering the time period from January 2020 to February 2021. A total of 20 state-owned enterprises are included as the sample of this study. Test of difference is employed to compare the stock prices of the state-owned enterprises before and after each pandemic event date. In general, this study confirms the adverse impact of the COVID-19 pandemic on the stock prices, especially the event in 2020, although some variations do exist. The results of the study reveal a significant decrease in the stock prices of the state-owned enterprises after the announcement of the first confirmed COVID-19 cases, the announcement of COVID-19 as a global pandemic, the imposing of Large Scale Social Restriction (PSBB I and PSBB II). In contrast, the stock prices increase after the imposing of a new normal policy and the imposing of Public Activity Restriction (PPKM). This study also documents that the effect of the pandemic may vary based on the pandemic phase.

• Journal of information and communication convergence engineering
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• v.11 no.3
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• pp.190-198
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• 2013

Recently, one of the most vital advancement in the field of finance is high-performance trading using field-programmable gate array (FPGA). The objective of this paper is to design high-performance Black Scholes option trading system on an FPGA. We implemented an efficient Black Scholes Call Option System IP on an FPGA. The IP may perform 180 million transactions per second after initial latency of 208 clock cycles. The implementation requires the 64-bit IEEE double-precision floatingpoint adder, multiplier, exponent, logarithm, division, and square root IPs. Our experimental results show that the design is highly efficient in terms of frequency and resource utilization, with the maximum frequency of 179 MHz on Altera Stratix V.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.109-114
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• 2022

The article theoretically analyzed and specified definitions such as: "professional development of personality, competence, professional competence of a teacher". Structural components of professional competence are defined, namely: theoretical involves deep knowledge in the field of special pedagogy, special psychology; technological involves the use of acquired knowledge in practical activities and personal in which important personal characteristics of a special teacher are noted. Criteria and levels of development of professional competence of future special teachers are determined. The article analyzes the peculiarities of the professional activity of a teacher in the conditions of an inclusive educational space, in particular, the special training of a teacher as an integral component of this process. Emphasis is placed on the cooperation of teachers in an inclusive educational institution for the socialization of a child with special needs and her preparation for independent life.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.191-206
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• 2022

Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.491-497
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• 2020

This study examines the relationship between entrepreneurship of the state civil apparatus variable and public empowerment variable in Central Kalimantan province. Samples were taken using judgment sampling techniques. Based on these criteria, it is known that only 332 regional organizational structures that meet the criteria. Thus, the sample size is 332 regional organizational structure. In each organizational structure of the regional apparatus, 3 people were selected from the state civil apparatus and 3 from the community. Also, this study considers the effect of good governance and the quality of public services as mediating variables. The analysis used in this study is PLS using WarpPLS software. the variables studied were entrepreneurship of the state civil apparatus, good governance, public service quality and public empowerment. The results of the study stated that there is a significant positive relationship between entrepreneurship and public empowerment. In addition, there is a positive effect of entrepreneurship on good governance and public service quality. also, there is a positive influence of good governance and public service quality on public empowerment. The novelty of this research is the entrepreneurship of the state civil apparatus which is the driving force of public empowerment through good governance and public service quality.