• KDI Journal of Economic Policy
• /
• 제34권4호
• /
• pp.27-68
• /
• 2012

This study outlines measures related to fiscal policies aimed at responding to the financial crisis according to the timing of commencement and then examines impacts of expansionary fiscal policies on macro variables so as to extract policy implications. The size of expansionary fiscal policy to respond to the financial crisis is found to total 59.8 trillion won (6.1% of GDP in 2007), among which a total of 30.5 trillion won was the increased fiscal expenditure made by the 2008 supplementary budget, the 2009 revised budget and the 2009 supplementary budget. In addition, tax reductions are found to be a total of 29.3 trillion won, mainly driven by the tax reforms in 2008 and 2009. Examining dynamic changes in macro variables caused by the temporary increase in fiscal expenditure and the tax reductions reveals that the increase effect of the real GDP growth rate brought by a temporary rise in fiscal expenditure excluding tax reduction effects turned out to be 1.1%p in 2009 and 0.3%p in 2010, compared to the period without the increase in fiscal expenditure. Meanwhile, when taking into account the effect of expansionary fiscal policies including tax reduction effects, the increase effect of real GDP turns out to be much higher. In the case of 2009, the real GDP rose additionally by 1.9%p, in which 1.1%p by the increase in fiscal expenditure and 0.8%p by tax reduction. Based on these results, the expansionary fiscal policy conducted during the financial crisis since the second half of 2008 can be seen to have played a significant role in helping the Korean economy post a higher-than-anticipated recovery pace from the economic slowdown triggered by the crisis.

• Economic and Environmental Geology
• /
• 제42권2호
• /
• pp.143-152
• /
• 2009

Recent raw material prices fluctuation has been unexpectedly high and that made Korean economic activities to be depressed. Because most raw material supply in Korea depends upon oversea imports, unexpected raw material price fluctuation affects Korean industrial economies through macroeconomic variables. So Korean government enforces some political measures such as demand management and the supply-security assurance as long-range policies, and reservation and general early warning system as short-range policies. In short-range policies, it is necessary to be expected short term fluctuation. Up to recently, there have been many researches and most of those researches use parametric methods or time series analyses. Because those methods and analyses often generate inadequate relations among variables, it is possible that some consistent variables are left out or the results are misunderstood. This study, therefore, is aim to mitigate those methodological problems and find the relatively appropriate model for economic explanation. So that, in this paper, by using non-parametric signal approach method mitigating some shortages of previous researches and forecasting properly short-range prices fluctuation of non-ferrous materials are presented empirically.

• Journal of Navigation and Port Research
• /
• 제47권3호
• /
• pp.167-173
• /
• 2023

The manufacturing industry is the backbone of the Korean economy. Among them, the petrochemical industry is a strategic growth industry, which makes a profit through reexports based on eminent technology in South Korea which imports all of its crude oil. South Korea imports whole amount of crude oil, which is the raw material for many manufacturing industries, by sea transportation. Therefore, it must respond swiftly to a highly volatile tanker freight market. This study aimed to make an early warning model of crude oil shipping market using a signal approach. The crisis of crude oil shipping market is defined by BDTI. The overall leading index is made of 38 factors from macro economy, financial data, and shipping market data. Only leading correlation factors were chosen to be used for the overall leading index. The overall leading index had the highest correlation coefficient factor of 0.499 two months ago. It showed a significant correlation coefficient five months ago. The QPS value was 0.13, which was found to have high accuracy for crisis prediction. Furthermore, unlike other previous time series forecasting model studies, this study quantitatively approached the time lag between economic crisis and the crisis of the tanker ship market, providing workers and policy makers in the shipping industry with an framework for strategies that could effectively deal with the crisis.

• Proceedings of the Safety Management and Science Conference
• /
• 대한안전경영과학회 2004년도 추계학술대회
• /
• pp.355-380
• /
• 2004

I test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. Using thirty-six industry portfolios and the broad market index as our test assets, I establish several key results. First, a number of industries such as semiconductor, electronics, metal, and petroleum lead the stock market by up to one month. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry's ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals because information diffuses only gradually across asset markets. Traditional theories of asset pricing assume that investors have unlimited information-processing capacity. However, this assumption does not hold for many traders, even the most sophisticated ones. Many economists recognize that investors are better characterized as being only boundedly rational(see Shiller(2000), Sims(2201)). Even from casual observation, few traders can pay attention to all sources of information much less understand their impact on the prices of assets that they trade. Indeed, a large literature in psychology documents the extent to which even attention is a precious cognitive resource(see, eg., Kahneman(1973), Nisbett and Ross(1980), Fiske and Taylor(1991)). A number of papers have explored the implications of limited information- processing capacity for asset prices. I will review this literature in Section II. For instance, Merton(1987) develops a static model of multiple stocks in which investors only have information about a limited number of stocks and only trade those that they have information about. Related models of limited market participation include brennan(1975) and Allen and Gale(1994). As a result, stocks that are less recognized by investors have a smaller investor base(neglected stocks) and trade at a greater discount because of limited risk sharing. More recently, Hong and Stein(1999) develop a dynamic model of a single asset in which information gradually diffuses across the investment public and investors are unable to perform the rational expectations trick of extracting information from prices. Hong and Stein(1999). My hypothesis is that the gradual diffusion of information across asset markets leads to cross-asset return predictability. This hypothesis relies on two key assumptions. The first is that valuable information that originates in one asset reaches investors in other markets only with a lag, i.e. news travels slowly across markets. The second assumption is that because of limited information-processing capacity, many (though not necessarily all) investors may not pay attention or be able to extract the information from the asset prices of markets that they do not participate in. These two assumptions taken together leads to cross-asset return predictability. My hypothesis would appear to be a very plausible one for a few reasons. To begin with, as pointed out by Merton(1987) and the subsequent literature on segmented markets and limited market participation, few investors trade all assets. Put another way, limited participation is a pervasive feature of financial markets. Indeed, even among equity money managers, there is specialization along industries such as sector or market timing funds. Some reasons for this limited market participation include tax, regulatory or liquidity constraints. More plausibly, investors have to specialize because they have their hands full trying to understand the markets that they do participate in

• Journal of Labour Economics
• /
• 제24권3호
• /
• pp.13-38
• /
• 2001

The question about whether a shorter workweek may increase employment has been a serious issue and been furiously debated among collective bargainers. The advocators recommend publicly that a reduction in standard working hours will provide benefits to the unemployed through the provision of new jobs, and also can improve the quality of life workers. The opponents argue that a shorter workweek will increase labor costs and induce firms to reduce their production levels, and consequently cut back their demand for labor. Although the debate is still continuing, considerable has been made toward achieving the goal workweek reduction. The analytical framework of this paper is a Putty-clay-model, in which the short-and long-term impacts of changes in working time on the employment associated with the interrelations of wages, prices, hourly labour productivity, the firm's labor demand, business cycle and economic growth etc. must be analyzed.

• Journal of Intelligence and Information Systems
• /
• 제23권3호
• /
• pp.1-27
• /
• 2017

It is known that the economic sentiment index and macroeconomic indicators are closely related because economic agent's judgment and forecast of the business conditions affect economic fluctuations. For this reason, consumer sentiment or confidence provides steady fodder for business and is treated as an important piece of economic information. In Korea, private consumption accounts and consumer sentiment index highly relevant for both, which is a very important economic indicator for evaluating and forecasting the domestic economic situation. However, despite offering relevant insights into private consumption and GDP, the traditional approach to measuring the consumer confidence based on the survey has several limits. One possible weakness is that it takes considerable time to research, collect, and aggregate the data. If certain urgent issues arise, timely information will not be announced until the end of each month. In addition, the survey only contains information derived from questionnaire items, which means it can be difficult to catch up to the direct effects of newly arising issues. The survey also faces potential declines in response rates and erroneous responses. Therefore, it is necessary to find a way to complement it. For this purpose, we construct and assess an index designed to measure consumer economic sentiment index using sentiment analysis. Unlike the survey-based measures, our index relies on textual analysis to extract sentiment from economic and financial news articles. In particular, text data such as news articles and SNS are timely and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. There exist two main approaches to the automatic extraction of sentiment from a text, we apply the lexicon-based approach, using sentiment lexicon dictionaries of words annotated with the semantic orientations. In creating the sentiment lexicon dictionaries, we enter the semantic orientation of individual words manually, though we do not attempt a full linguistic analysis (one that involves analysis of word senses or argument structure); this is the limitation of our research and further work in that direction remains possible. In this study, we generate a time series index of economic sentiment in the news. The construction of the index consists of three broad steps: (1) Collecting a large corpus of economic news articles on the web, (2) Applying lexicon-based methods for sentiment analysis of each article to score the article in terms of sentiment orientation (positive, negative and neutral), and (3) Constructing an economic sentiment index of consumers by aggregating monthly time series for each sentiment word. In line with existing scholarly assessments of the relationship between the consumer confidence index and macroeconomic indicators, any new index should be assessed for its usefulness. We examine the new index's usefulness by comparing other economic indicators to the CSI. To check the usefulness of the newly index based on sentiment analysis, trend and cross - correlation analysis are carried out to analyze the relations and lagged structure. Finally, we analyze the forecasting power using the one step ahead of out of sample prediction. As a result, the news sentiment index correlates strongly with related contemporaneous key indicators in almost all experiments. We also find that news sentiment shocks predict future economic activity in most cases. In almost all experiments, the news sentiment index strongly correlates with related contemporaneous key indicators. Furthermore, in most cases, news sentiment shocks predict future economic activity; in head-to-head comparisons, the news sentiment measures outperform survey-based sentiment index as CSI. Policy makers want to understand consumer or public opinions about existing or proposed policies. Such opinions enable relevant government decision-makers to respond quickly to monitor various web media, SNS, or news articles. Textual data, such as news articles and social networks (Twitter, Facebook and blogs) are generated at high-speeds and cover a wide range of issues; because such sources can quickly capture the economic impact of specific economic issues, they have great potential as economic indicators. Although research using unstructured data in economic analysis is in its early stages, but the utilization of data is expected to greatly increase once its usefulness is confirmed.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• 제17권7호
• /
• pp.648-655
• /
• 2016

As the FTAs' implementations are accelerated, an Ex-post assessment, such as an analysis of the tariff schedule and agricultural trade has been emerging as an important national issue for an agricultural sector Korea-EU FTA, which was to be implemented in the five years from July 2016 as one of the giant FTA. The purpose of this study was to determine the demand of an ex-post assessment on agricultural sector as a trade negotiation procedural law. In addition, by providing policy direction for the agricultural policy part requiring amendments and supplements through ex-post assessment, the conflicting arguments between agricultural and non-agricultural sector can be evaluated more objectively. The current evaluation method on the economic impact ex-post assessment of a FTA is generally compared using the change in trade balance before and after the time of FTA implementation. On the other hand, this comparison cannot be said to be the pure FTA effects and objective, tightening economic impact assessment of the FTA in all combined situations, such as the effects of exchange rates and international macroeconomic changes and climate change & occurrence of pests. Over the last 4 years, however, Korea-EU FTA's total accumulated agricultural GDP loss was measured to be 2,178 billion by these research attempts with dynamic analysis as ex-post assessment methodology. The greatest impact was mainly livestock and pork followed by cereals and vegetables. In addition, this research is expected to contribute to policy evaluations in the future.

• Journal of Korea Technology Innovation Society
• /
• 제21권4호
• /
• pp.1606-1632
• /
• 2018

This study analyzes the technology billionaires with the combination of technology commercialization studies and billionaire research. However, we will not discuss individual billionaires, but discuss the general features of technology billionaires. This study assumes that the answers to the technology commercialization studies are in the technology billionaire researches. In other words, unlike the technology commercialization studies so far, it can be said that it is a retrospective approach of technology commercialization to see the process and the beginning from the result. The conclusion of this study is as follows. First, technology billionaires are in the middle rank among industries, but their wealth is the best. Second, in the technology sector, four 20s are self-made billionaires. It is a matter of securing technological opportunities, not a long training and preparation. Third, the determinants of technology billionaires are population size and venture capital investment. This means technological efforts and sufficient market conditions are the basis for the development of technology billionaires. Fourth, only high income is not the determinant of technology billionaires. There are many small countries that are very rich but can not utilize technology. Technology billionaires can appear in countries with a minimum of US $ 20,000, unless the country has a huge population such as China and India. Sixth, technology billionaires in the diversified business, classified as Chaebol in low-income countries become scarce in the countries over the US $ 40,000. Billionaires will increase rapidly from the mid-2000s. However, this is not explained by the income increase effect. The world's income increase has been slowing since the 1980s. The market economy effect of the socialist countries is not the reason, because it is limited to some socialist countries. Ultimately, the main reason is the new technology opportunity called the IT paradigm.

• Journal of the Korea Society of Computer and Information
• /
• 제29권6호
• /
• pp.77-87
• /
• 2024

In this paper, we propose a study applying the Delphi technique to domestic blockchain experts to determine urgent and pivotal conditions for NFT proliferation. We examine these conditions from a PEST (Political, Economic, Social, and Technological Analysis of the Macro Environment) perspective, as well as the functions of digital assets (measurement, storage, and exchange). Through two rounds of expert surveys on the seven NFT perspectives, we identify 6 activating factors that can help guide future policy-making for the NFT market. These factors have broad implications for the development of new industries using blockchain technology and tokens. The Delphi method employed in this study is a group discussion technique that gathers opinions from experts anonymously through two rounds and to address drawbacks related to expert selection bias and opinion alignment, additional opinion collection and review of projections were conducted in each round.

• The Journal of the Korea Contents Association
• /
• 제16권7호
• /
• pp.135-145
• /
• 2016

This research intended to investigate, from an ecological perspective, significant predictors affecting school life satisfaction. The subjects were 312 students(2nd grade) of commercial high school in Kyonggido. Data collected by questionnaire survey were analyzed by SPSS Win 22.0 and descriptive statistics, correlation analysis, hierarchical linear regression, and stepwise regression were conducted. There were 21 independent variables: 8 organism variables (self-competence, interpersonal skills, internal control, mood awareness, emotional expression, empathy, emotional regulation, emotional capability), 9 microsystem variables(school variables: the relationship with teachers, school learning, classroom climate, school welfare facilities, school environment/peer variables: peer relationship/family variables: family functioning, education level of fathers, economic status), 2 mesosystem variables(parent-teacher relationship, parent-children's peer relationship), 1 exosystem variables(satisfaction with Korean educational system), 1 macrosystem variables(Korean's primal belief in educational achievement). The results are as follows; the significant variables were the relationship with teachers, satisfaction with Korean educational system, peer relationship, emotional capability, parent-teacher relationship($R^2=45.3%$); and the effect of microsystem was the strongest($R^2=35.7%$). This research is meaningful of analyzing school life satisfaction of commercial high school in terms of ecological perspective.