• Title/Summary/Keyword: decline index

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Air Pollution Changes of Jakarta, Banten, and West Java, Indonesia During the First Month of COVID-19 Pandemic

  • PRAMANA, Setia;PARAMARTHA, Dede Yoga;ADHINUGROHO, Yustiar;NURMALASARI, Mieke
    • Asian Journal of Business Environment
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    • v.10 no.4
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    • pp.15-19
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    • 2020
  • Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

Search-based Sentiment and Stock Market Reactions: An Empirical Evidence in Vietnam

  • Nguyen, Du D.;Pham, Minh C.
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.4
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    • pp.45-56
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    • 2018
  • The paper aims to examine relationships between search-based sentiment and stock market reactions in Vietnam. This study constructs an internet search-based measure of sentiment and examines its relationship with Vietnamese stock market returns. The sentiment index is derived from Google Trends' Search Volume Index of financial and economic terms that Vietnamese searched from January 2011 to June 2018. Consistent with prediction from sentiment theories, the study documents significant short-term reversals across three major stock indices. The difference from previous literature is that Vietnam stock market absorbs the contemporaneous decline slower while the subsequent rebound happens within a day. The results of the study suggest that the sentiment-induced effect is mainly driven by pessimism. On the other hand, optimistic investors seem to delay in taking their investment action until the market corrects. The study proposes a unified explanation for our findings based on the overreaction hypothesis of the bearish group and the strategic delay of the optimistic group. The findings of the study contribute to the behavioral finance strand that studies the role of sentiment in emerging financial markets, where noise traders and limits to arbitrage are more obvious. They also encourage the continuous application of search data to explore other investor behaviors in securities markets.

An Analysis of Vietnamese Bank Productivity Change in the Time of Restructuring

  • TO, Tha Hien;LE, Phuong Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.779-788
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    • 2020
  • Commercial banks play an important role as the main source of funding in the transition process of Vietnam as a market economy. As a result, enhancing the efficiency and productivity of Vietnamese banks can decrease the lending cost for individuals and enterprises. This study is to measure and analyze the productivity change of Vietnamese banking system in different ownership cohorts and sources of this change during the period of restructuring (2011-2019). The Hicks-Moorsteen total factor productivity index is utilised to measure the productivity change and to identify the sources of this change. For an empirical analysis, the data of 28 Vietnamese commercial banks from 2011 to 2018 is collected from their financial statements including balance sheets and income statements. The results show an increase of Vietnamese bank productivity due to the technological progress. While foreign and joint-venture banks are the most advanced cohort, state-owned banks have the lowest rate of productivity growth. The restructuring program negatively impacts scale efficiency and this measure attributes to a decline in the overall efficiency of the banks. We also found that state-owned commercial banks are the most efficient group in the sense that they can achieve the maximal level of revenue from a given amount of expense.

A study on the identification of hub cities and delineation of their catchment areas based on regional interactions (지역 거점도시 식별 및 상호작용에 따른 영향권역 설정에 관한 연구)

  • Kim, Dohyeong;Woo, Myungje
    • Journal of Korea Planning Association
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    • v.53 no.7
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    • pp.5-22
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    • 2018
  • While the competitiveness of small and medium sized cities has become important for balanced development at the national scale, they have experienced continuous decline in population and employment, particularly those in non-capital regions. In addition, some of small and medium sized cities have been classified into shrinking cities that have declined due to their long-term structural reasons. To address these issues, a regional approach, by which a hub city and its surrounding small and medium sized cities can collaborate has been suggested. Given this background, the purpose of this study is to identify and delineate hub cities and their impact areas by using travel data as a functional network index. This study uses a centrality index to identify the hub cities of small and medium sized cities and Markov-chain model and cluster analysis to delineate regional boundaries. The mean first passage time (MFPT) generated from the Markov-chain model can be interpreted as functional distance of each region. The study suggests a methodological approach delineating the boundaries of regions incorporating functional relationships of hub cities and their impact areas, and provides 59 hub cities and their impact areas. The results also provide policy implications for regional spatial planning that addresses appropriate planning boundaries of regions for enhancing the economic competitiveness of small and medium sized cities and ensuring services for shrinking cities.

Position Value for Relative Comparison of Healthcare Status of Korea in 2020 (2020년 한국 보건의료의 상대적 위치와 추이: 경제협력개발기구 국가와 비교)

  • Yu Shin Park;Minah Park;Eun-Cheol Park
    • Health Policy and Management
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    • v.33 no.2
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    • pp.203-213
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    • 2023
  • This study examined the trend of healthcare status and compared the status of South Korea and other member of the Organization for Economic Cooperation and Development (OECD) using the OECD health statistics 2022. We used the OECD health statistics from 2022 and a position value for relative comparison (PARC) index to compare the five elements of the healthcare system. The study also used a Mann-Kendall test to analyze the trend of the PARC values from 2000 to the present year. The findings of the study indicate that many South Korea's PARC values were higher than the OECD median. But practicing physician in supply part and medical cost were lower than OECD median but the trend significantly increased. Medical accessibility part and quality of care part except primary care, and mental health had a high relative position but the trend did not increased significantly. After outbreak of coronavirus disease 2019, there were changes in medical accessibility. Health screening and vaccinations showed an overall decline in 2020 compared to 2019. These results suggest that policymakers need to take necessary steps for a sustainable healthcare system in the country.

Research on the Application of Sustainable Development Assessment System for Fishing Communities in Korea (어촌지역 지속가능 발전지표 적용 연구)

  • Byoung-Cheol Ahn;Jae-Su Lee
    • The Journal of Fisheries Business Administration
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    • v.53 no.4
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    • pp.27-49
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    • 2022
  • This study focused on diagnosing and analyzing the level of sustainable development for each fishing communities by applying the sustainable development index in the fishing communities to support the policy of revitalizing the fishing communities. In terms of methodology, diagnostic indicators for rural areas were used through previous studies and literature surveys, and three categories, five fields and 27 indicators were finally selected through collecting opinions from experts. After deriving the weight for each indicator in detail, the final sustainable development index of the fishing communities was applied to fishing village fraternity. Based on the results of the analysis of the application of sustainable development cases in fishing communities, policy support should be implemented differentially according to regional decline factors and potential growth factors. In the population and social sector, it is necessary to consider ways to reduce population and reduce aging. In the industrial and economic sectors, fishing activation and systematic support for fishing-related industries should be provided. In the marine and built environment sector, the government's active project execution and budget support are required. In addition, it is expected to be used in various ways in the process of developing fishing communities and establishing revitalization plans that reflect the characteristics of the region.

The Intraday Lead-Lag Relationships between the Stock Index and the Stock Index Futures Market in Korea and China (한국과 중국의 현물시장과 주가지수선물시장간의 선-후행관계에 관한 연구)

  • Seo, Sang-Gu
    • Management & Information Systems Review
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    • v.32 no.4
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    • pp.189-207
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    • 2013
  • Using high-frequency data for 2 years, this study investigates intraday lead-lag relationship between stock index and stock index futures markets in Korea and China. We found that there are some differences in price discovery and volatility transmission between Korea and China after the stock index futures markets was introduced. Following Stoll-Whaley(1990) and Chan(1992), the multiple regression is estimated to examine the lead-lag patterns between the two markets by Newey-West's(1987) heteroskedasticity and autocorrelation consistent covariance matrix(HAC matrix). Empirical results of KOSPI 200 shows that the futures market leads the cash market and weak evidence that the cash market leads the futures market. New market information disseminates in the futures market before the stock market with index arbitrageurs then stepping in quickly to bring the cost-of-carry relation back into alignment. The regression tests for the conditional volatility which is estimated using EGARCH model do not show that there is a clear pattern of the futures market leading the stock market in terms of the volatility even though controlling nonsynchronous trading effects. This implies that information in price innovations that originate in the futures market is transmitted to the volatility of the cash market. Empirical results of CSI 300 shows that the cash market is found to play a more dominant role in the price discovery process after the Chinese index started a sharp decline immediately after the stock index futures were introduced. The new stock index futures markets does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures markets. Based on EGAECH model, the results uncover strong bi-directional dependence in the intraday volatility of both markets.

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An analysis on the change rate of housing rent price index (월세가격동향조사 통계의 가격지수 변동률 분석)

  • Yeon, Kyu Pil
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1361-1369
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    • 2014
  • This research is for analyzing the change rate of housing rent price index produced by KAB (Korea Appraisal Board) in the monthly periodical, Survey on Housing Monthly Rent. The index is a very important and useful indicator to understand and diagnose the house rental market. However, the index is criticized in that it tends to decline when the price level of Jeonse (i.e., a typical type of dwellings in Korea, generally leased on a deposit basis for 1 or 2 years) is highly going up, which is inconsistent with the actual economic sentiment of tenants. We verify the reason why such phenomenon occurs and suggest a simple but novel method to analyze properly the change rate of the index. The main findings are as follows. The key factor to trigger the problem is the use of the conversion rate for Jeonse-to-monthly rent for constructing the rent price indexes. We separate the effect of the conversion rate out of the change rate of the index and quantify the adjusted real change rate showing an increase of the rent price level which is masked by the conversion rate before.

Analysis of Vulnerable Regions of Forest Ecosystemin the National Parks based on Remotely-sensed Data (원격탐사자료에 기초한 국립공원 산림 생태계의 취약지역 분석)

  • Choi, Chul-Hyun;Koo, Kyung-Ah;Kim, Jinhee
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.5
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    • pp.29-45
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    • 2016
  • This study identified vulnerable regions in the national parks of the Republic of Korea (ROK). The potential vulnerable regions were defined as areas showing a decline in forest productivity, low resilience, and high sensitivity to climate variations. Those regions were analyzed with a regression model and trend analysis using the Enhanced Vegetation Index (EVI) data obtained from long-term observed Moderate Resolution Imaging Spectroradiometer (MODIS) and gridded meteorological data. Results showed the area with the highest vulnerability was Naejangsan National Park in the southern part of ROK where 32.5% ($26.0km^2$) of the total area was vulnerable. This result will be useful information for future conservation planning of forest ecosystem in ROK under environmental changes, especially climate change.

Development of Dementia Screening Application Using Urine Test and Bionic Sensors (소변검사와 생체센서를 이용한 치매 스크리닝 애플리케이션 개발)

  • Kim, Jun-Young;Cho, Myeon-Gyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.2
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    • pp.109-117
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    • 2015
  • In this paper, we have developed smart-phone App(application) for screening Dementia using bionic sensors, urine test and questionnaire. Since small amounts of urinary protein strongly predict faster cognitive decline in the elderly, smart-phone based urinalysis is adopted to screen dementia more accurately as well as bionic sensors such as $SpO_2$ and HRV(Heart Rate Variability). Firstly, DI(Dementia Index) is calculated from urinalysis, two bionic sensors and electric questionnaire, and then compared to the threshold from clinical test. Finally the results of Dementia screening is shown in your smart-phone and useful information to prevent or relieve Dementia is also given. We performed simple testing on persons aged over 60 and found out the proposed application can be useful devices for screening Dementia easily and quickly.