• Title/Summary/Keyword: Economic Indicators

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A Study on the Effect of Logistics Performance on the Trade of Goods in the Korea-ASEAN FTA (한-아세안 FTA 상품무역의 물류성과 효과에 대한 연구)

  • Ahn, TaeKun
    • Journal of Korea Port Economic Association
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    • v.37 no.4
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    • pp.145-160
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    • 2021
  • This study attempted to analyze the trade in goods effect of the Korea-ASEAN FTA by using logistics performance index, which are evaluation indicators of logistics industry workers on the logistics environment and logistics system in international trade. The World Bank's logistics performance index are six indicators: customs clearance, logistics infra, ease of shipment, logistics services, goods tracking abilities, and on-time transportation. The purpose of this study was to examine how it affects commodity trade between Korea and ASEAN states using the gravity model using panel data. Through this, it was confirmed that logistics performance index affect the increase in commodity trade.

Business Environment of Public Sector Enterprises: Using the International Rankings for Evaluation

  • Shalimova, Nataliia;Kuzmenko, Halyna;Shalimov, Volodymyr;Reshetov, Valerii;Androshchuk, Iryna
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.297-309
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    • 2022
  • Taking into account the globalization of the economy and the intensification of European integration processes, it has been proved that an important part of evaluating the effectiveness of activity of public sector enterprises should be a comparative analysis of the overall operation environment, namely public procurement, economic environment and tax policy, with the relevant systems of other countries of the world. The indicators and components of international ratings "Doing Business", "Paying Taxes", "Benchmarking Public Procurement" have been studied. Different groups of indicators forming "Doing Business" and "Paying Taxes" in the context of the impact on public sector enterprises have been identified: those which fully comply with the need to evaluate the operating environment of public sector enterprises and those which should be used with restrictions, regarding the peculiarities of creating and functioning of public sector enterprises. A comparative analysis of the place of Ukraine, Lithuania and Slovenia among other countries of the world in accordance with the international rankings of "Doing Business", "Paying Taxes", "Benchmarking Public Procurement" have been made. It has been substantiated that the results of such comparative analysis will allow identifying risk areas, and relevant information can be used in developing of recommendations for improving the effectiveness of activity of public sector enterprises.

Features of Investment Support for the Process of Digitalization of Socio-Economic Systems in the Context of Strengthening International Economic Relations

  • Yatsko, Maksym;Panfilova, Yanina;Zozuliak, Marta;Koval, Oleksandr;Golubka, Yaroslav
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.29-34
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    • 2022
  • The innovative process of digitalization and creation of innovation from an idea to its commercialization requires certain financial costs, labor and mental efforts. The amount of investment (corporate and public) is the most important imperative to enhance innovation and is traditionally considered as the main "input" indicators of the development of innovation infrastructure, in this case, the financial infrastructure of innovation. At the same time, the modern theory of innovation development assumes a systematic approach to the organization of innovation activity, which provides for the close interaction of several subsystems: human (including intellectual) potential, financial and technological capital, as well as relevant institutions and methods of regulation.. Thus, the main task of the study is to analyze the features of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations. As a result of the study, current trends and prerequisites of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations were revealed.

A Study on Consumer Sentiment Index Analysis and Prediction Using ARMA Model (ARMA모형을 이용한 소비자 심리지수 분석과 예측에 관한 연구)

  • Kim, Dongha
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.3
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    • pp.75-82
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    • 2022
  • The purpose of the Consumer sentiment index survey is to determine the consumer's economic situation and consumption spending plan, and it is used as basic data for diagnosing economic phenomena and forecasting the future economic direction. The purpose of this paper is to analyze and predict the future Consumer sentiment index using the ARMA model based on the past consumer index. Consumer sentiment index is determined according to consumer trends, so it can reflect consumer realities. The consumer sentiment index is greatly influenced by economic indicators such as the base interest rate and consumer price index, as well as various external economic factors. If the consumer sentiment index, which fluctuates greatly due to consumer economic conditions, can be predicted, it will be useful information for households, businesses, and policy authorities. This study predicted the Consumer sentiment index for the next 3 years (36 months in total) by using time series analysis using the ARMA model. As a result of the analysis, it shows a characteristic of repeating an increase or a decrease every month according to the consumer trend. This study provides empirical results of prediction of Consumer sentiment index through statistical techniques, and has a contribution to raising the need for policy authorities to prepare flexible operating policies in line with economic trends.

Research on Stock price prediction system based on BLSTM (BLSTM을 이용한 주가 예측 시스템 연구)

  • Hong, Sunghyuck
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.19-24
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    • 2020
  • Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

Study on Welfare Technology and Welfare Technology Assessment for Older Adults (고령층을 위한 복지기술과 복지기술영향평가에 대한 연구)

  • Kim, Jeungkun
    • The Journal of the Korea Contents Association
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    • v.18 no.5
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    • pp.156-166
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    • 2018
  • Due to the recent aging population, the need for development and use of welfare technology is increasing in society, but the debate on the evaluation of the personal, social and economic effects of newly developed welfare technology is insufficient. The purpose of this study is to analyze the concept of welfare technology and the theoretical contents of technology assessment, and to discuss the development of indicators applicable to welfare technology assessment for older adults. For this purpose, the characteristics of welfare technologists, who are distinguished from the general technology, were examined and tried to establish the concept of welfare technology and to examine theoretically. In addition, welfare technology Assessment indicators reflect the characteristics of older adults and are presented in six areas, including personal, economic, social, technological, environmental and ethical aspects. For the case study, two welfare technology products for older adults were selected and applied to the welfare technology evaluation indicators. This study suggests that older adults and their caregivers need to be participating as an important stakeholder to increase the effectiveness of the welfare technology assessment.

Development of Integrated System of Time-Driven Activity-Based Costing(TDABC) Using Balanced Scorecard(BSC) and Economic Value Added(EVA) (BSC와 EVA를 이용한 TDABC 통합시스템의 개발)

  • Choi, Sungwoon
    • Journal of the Korea Safety Management & Science
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    • v.16 no.3
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    • pp.451-469
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    • 2014
  • The purpose of this study is to implement and develop the integrated Economic Value Added (EVA) and Time-Driven Activity-Based Costing (TDABC) model to seek both improvement of Net Operating Profit Less Adjusted Tax (NOPLAT) and reduction of Capital Charge (CC). Net Operating Profit Less Adjusted Tax (NOPLAT) can be maximized by reducing the indirect cost of an unused resource capacity increased by Cost Capacity Ratio (CCR) of TDABC. On the other hand, Capital Charge (CC) can be minimized by improving the efficiency of Invested Capital (IC) considered by Weighted Average Cost of Capital (WACC) of EVA. In addition, the integrated system of TDABC using Balance Scorecard (BSC) and EVA is developed by linking between the lagging indicators and the three leading indicators. The three leading indicators include customer, internal process and growth and learning perspectives whereas the lagging indicator includes NOPLAT and CC in terms of financial perspective. When the Critical Success Factor (CSF) of BSC is cascading as a cause and an effect relationship, time driver of TDABC and capital driver of EVA can be used efficiently as Key Performance Indicator (KPI) of BSC. For a better understanding of the proposed EVA/TDABC model and BSC/EVA/TDABC model, numerical examples are derived from this paper. From the proposed model, the time driver of TDABC and the capital driver of EVA are known to lessen indirect cost from comprehensive income statement when increasing the efficiency of operating IC from the statement of financial position with unified KPI cascading of aligned BSC CSFs.

Development of Evaluation Indicators for Determining the Reconstruction of Retired School Facilities (노후학교시설 개축 판별을 위한 평가지표 개발)

  • Meang, Joon-Ho;Kim, Sung-Joon;Song, Byung-Joon;Kim, Jae-Young
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.21 no.4
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    • pp.1-12
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    • 2022
  • The main purpose of this study was to propose an objective basis model for determining business types through renovation and remodeling by quantifying and comprehensively reviewing functional, performance, structural safety, and economic indicators for rational renovation and remodeling of deteriorated school facilities. Delphi analysis and AHP analysis were applied as the main methodologies for setting evaluation indicators, and scores for each evaluation item was allocated based on 34 points in the function and performance fields, 51 points in the structural safety field, and 15 points in the economic field. In the future, judgment on the execution of objective and reasonable reconstruction can be expected, focusing on the evaluation indicator index model, and it is necessary to determine the business type for each target school teacher building through a multi-faceted review of the current status of the target school.

Environmental and Socioeconomic Indicators of Virtual Water Trade: A Review

  • Odey, Golden;Adelodun, Bashir;Kim, Sang Hyun;Choi, Kyung Sook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.211-211
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    • 2020
  • The concept of virtual water has been largely applied in the study of regional, national, and global water flows with particular emphasis on water scarcity. Despite water traditionally being managed locally, certain global forces influence the local water resource scarcity/availability and hence virtual water exchanges worldwide. It is therefore of necessity that the significant forces be examined to understand the relationship between available water in a region and the variability and trends in environmental, social, and economic factors that are of utmost importance in the formulation of water resources management policies. This study therefore reviewed recent literature from 2003 - 2019 to determine the significant indicators of virtual water trade at different spatiotemporal levels. The study examined and compared the major approaches to virtual water trade flows accounting, and also identified and discussed policy implications and future research options concerning the analysis of virtual water trade. Available information has shown that virtual water trade is significantly influenced by economic (GDP, Demand-Supply of goods and services), geographical (Distance), institutional (population) and environmental (water availability, arable land, precipitation) factors. Reports further show that the selection of a given approach for virtual water trade flows accounting will depend on the scope of the study, the available datasets, and other research preferences. Accordingly, this study suggests that the adoption of multidisciplinary approaches to virtual water trade, taking into consideration the spatial and temporal variations in water resources availability and the complexity of environmental and socioeconomic factors will be pivotal for establishing the basis for the conservation of water resources worldwide.

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Review of Domestic Data Application Strategies for TNFD Implementation (TNFD 적용을 위한 국내 활용가능 데이터 적용 방안 검토)

  • Kim, Eun-Sub;Kim, Hoseok;Lee, Dong-Kun;Choi, Yun-Yeong;Kim, Da-Seul
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.27 no.1
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    • pp.55-70
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    • 2024
  • The loss of biodiversity poses a significant threat not only to business sustainability and investment risk but also to societal well-being. Nature serves as a crucial driver for long-term business viability and economic prosperity. The Task Force on Nature-related Financial Disclosures (TNFD), established in September 2023, mandates that companies assess and disclose their impacts on nature. Despite this, many businesses lack a full understanding of their reliance on and impact upon natural capital and ecosystem services, leading to insufficient disclosures. This study evaluates the applicability of TNFD's assessment methodologies and indicators within a domestic context, highlighting the condition of nature and ecosystem services, and exploring potential synergies with national biodiversity policies. Our analysis suggests that TNFD necessitates a unique approach to the spatial and temporal data and methodologies traditionally employed in environmental impact assessments. This includes assessing the reciprocal influences of corporate activities on natural capital and ecosystem services via the LEAP framework. Moreover, in industries where the choice of specific indicators depends on unique sectoral traits, developing a standardized strategy for data and assessment indicators-adapted to local conditions-is crucial due to the variability in the availability of assessment tools and data. The proactive engagement of the private sector in ecosystem restoration projects is particularly promising for contributing towards national biodiversity objectives. Although TNFD is in its nascent phase, its global adoption by numerous companies signifies its potential impact. Successful implementation of TNFD is anticipated to deepen businesses' and financial institutions' understanding of natural capital and ecosystem services, thereby reinforcing their commitment to sustainable development.