• Korean Journal of Organic Agriculture
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• v.21 no.4
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• pp.501-522
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• 2013

This study has performed comparative analysis on benefit indicators in agricultural irrigation and drainage project cases between Korea and Japan. The irrigation and drainage project with publicity should do economic analysis of direct benefit factors as well as indirect benefit factors. However, traditional economic evaluations are used that benefit factors are lack of consistency and focused on direct benefits. Therefore, the purpose of this study was to develop indicators for the economic evaluation of irrigation and drainage projects. We conducted a case study between Korea and Japan. The resulting benefit factors was divided into direct factors and indirect factors. The direct benefit factors were increase in income, cost savings. The indirect benefit factors were protection of property due to flooding, agricultural promotion, aesthetic improvement. The implications of this study are that the indicators of economic analysis can be evaluated and easily applied. Moreover, these indicators could promote the feasibility of economic analysis.

• Environmental and Resource Economics Review
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• v.9 no.5
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• pp.903-924
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• 2000

This paper examines the alternative method to measure the state of overall economic activity. The macroeconomic variables, used for business cycle, take more than a month after a period for collection and aggregation. The electricity generation data is compiled in mechanical ways just after the period. Based on this fact, we develop the two stage estimation method for coincident economic indicators in order to detect the business cycle in an earlier period, using Stock-Watson's Dynamic Factor Model. Using monthly data from 1970 to 1999, it is found that the experimental coincidence economic indicators are well-fitted to data and also that the estimates of two stage estimation method have good explanatory power, equivalent to the experimental coincidence economic indicators. While the RMSE of coincidence economic indicators is found to be 1.27%, that of the experimental coincidence economic indicators is found to be 1.31% and that of the two stage estimation method is around 1.44%. If we take consideration into the fact that it measures the business cycle in one month earlier, we come to the conclusion that the two stage estimation is of great use.

• SUVANNABHUMI
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• v.15 no.2
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• pp.215-244
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• 2023

This study analyzes the effect of macroeconomic indicators such as foreign direct investment (FDI), domestic investment, trade, inflation, unemployment, population, and governance indicators on economic growth and points out the GDP growth rate in 2002- 2019 among ASEAN countries. Data were compiled from the Worldwide Governance Indicators (WGI) and the World Bank, and the effect of variables on GDP was predicted using the pooled ordinary least squares (POLS), fixed effects model (FEM), and random effects model (REM) methods. As a measure of growth, the GDP growth rate has been taken; FDI and domestic investment, trade, inflation, and governance indicators are positively connected and have an influence on economic growth in these ASEAN countries; domestic investment, population, and unemployment have a negative relationship to economic growth. The macroeconomic indicators and institutional stability of the nation have an effect on its economic growth. Comprehensive institutional stability and well-laid macroeconomic policies are required for growth to materialize.

• Journal of Korean Society for Quality Management
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• v.51 no.3
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• pp.363-379
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• 2023

Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.192-194
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• 2015

The growing size and complex process in construction project recently leads to increase risk and the losses as well. Even though researchers have identified the major risk indicators, there is lack of comprehensive and quantitative research for identifying the relationship between the risk indicators and economic losses associated with construction projects. To address this shortage of research, this study defines risk indicators and create a framework to assess the influence of economic losses from the indicators. An insurance company's claim payout record was accepted as the dependent variable to reflect the real economic losses. Based on the claims, we categorized the causes and results of accidents. To establish framework, built environment vulnerability indicators and geographical vulnerability indicators were employed as the risk indicators. A Pearson correlation analysis was adopted to validate the relationship with loss ratio and risk indicators. Consequently, this framework and its results may offer significant references for under writers of insurance companies and loss prevention activities.

• Journal of Families and Better Life
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• v.11 no.1
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• pp.107-118
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• 1993

A dimension of well-being economic security was analyzed and compared with economic adequacy. Again it was tested whether two indicators of economic security(short-term vs. long-term) yield same distribution across all household groups. Economic Security was defined as the household ability to sustain a given level of consumption in the case of economic emergency; specifically loss of income. Measure of 8 different kinds of economic security were constructed from household net worth including and excluding home equity. Data were taken from the 1988 U.S. Consumer Expenditure Survey and 2148 households were selected to test hypotheses concerning the economic security of American households Empirical results showed a very low level of economic security in general. The first hypothesis that distribution of economic adequacy and economic security are same across all population groups was rejected. On the average security measure rather than adequacy measure was favor to white female-headed households and households who have old and highly educated house-holder. The second hypothesis that the indicators of long-term and short-term economic security yield the same results across all household was not rejected. In general the level of economic security was relatively higher when long-term indicator was used than short-term indicator was however the direction and relative size of effect of income and each control variable was almost same.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• Journal of Environmental Science International
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• v.28 no.8
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• pp.709-712
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• 2019

The effect of insect feed powder on the growth performance and economic evaluation of ducks was investigated. One hundred and twenty-old Pekin ducks were randomly assigned to two dietary treatments (0% and 1% Hermetia illucens powder) with three replicates of 20 birds each for 14-42 d. No significant (p>0.05) difference in growth performance between the control and 1% H. illucens powder was observed, except the feed conversion ratio (p<0.05), for the experimental period. The treatments with 1% H. illucens powder improved the economic indicators in comparison with the controls. Therefore, a diet supplemented with 1% H. illucens powder could significantly improve the feed conversion ratios and increase the economic indicators.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.269-274
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• 2022

Economy of Ukraine is characterized by the rapidly increased level of financial failures at a corporate level. Conditions of doing business in Ukraine become tighter year after year and it should motivate the business owners not only to watch more accurately the state in which their business is but also to introduce new, more precise, more tight systems of crisis management and economic security. The experience shows that in order to stay afloat and not to suffer losses companies should pay more attention to different areas of economic security, such as production potential, financial indicators, logistics, staff, etc. For this purpose companies should use a system of valuation of the most important for their activity indicators and transform their values in an integral one in order to use this assessment in making managerial decisions. Such a valuation is one of the components which the article presents. The article also reveals the key points which characterize crisis management as an integral part of enterprise development and economic security. There are specified the essence and problems of crisis management and proposed the ways of raising the level of economic security of a company based on the example of an industrial and commercial enterprise. The key focus of the enterprise's economic security management is defined as constructive responses to threats from the external environment and, as a result, ensuring stable functioning and effective realization of untapped potential in the future. The current assumption is to explain the scheme of strategic management of an industrial and commercial enterprise and to calculate the methodology of an express assessment of the level of enterprise economic security, taking into account the components of crisis management. To assess the level of economic security of the enterprise, it is proposed to use the method of point assessment, which is based on a multi-level system of indicators, which covers the main areas of the enterprise's activity.

• Korea Trade Review
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• v.47 no.1
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• pp.13-24
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• 2022

This study was conducted because the global economic downturn caused by COVID-19 caused a surge in logistics costs and it was no longer possible to predict logistics costs using existing methods. For this study, we made the assumption that economic indicators affect logistics cost. Chapter 2 examines the current status of the liner market and factors affecting logistics costs. Based on this, Chapter 3 collects independent and dependent variables to determine the analysis model. As the independent variable, economic indicators of major countries constituting the SCFI were selected, and the dependent variables were the SCFI Europe Index and the SCFI USA Index. In Chapter 4, a panel analysis was conducted based on this, and it was confirmed that major economic indicators had a negative (-) effect on SCFI. This is contrary to the existing research results, which can be attributed to the special situation caused by COVID-19 and the imbalance of demand and supply by region. The results of this study are meaningful in that they can predict long-term logistics cost volatility without analyzing supply and demand, and can be applied to other studies as well.