Proceedings of the Korean Society of Environment and Ecology Conference
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2003.10a
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pp.23-29
/
2003
It has been declared in 1992 at Rio about the management of united water control and method of the management of the water resources at the water basin. And it was also mentioned about the protection of fresh water's quality and it's supply under chapter the 18th of the agenda 21. It has been 10years passed after Rio declaration, and water crisis Is getting more serious than before. Fairly, right for using water resources was given to every life as the public resources. But at the last world water forum, water was commercialized, and regulated as the basic requirement not basic right. Therefore, we could use the water according to the logic of supply and demand at the market, and with money. Furthermore, construction of the big dam which was build to solve the problem of the lack of water became one of problems for water control. Korea is keeping consistent policy such as providing water by the building of dam. Control of the water demand is the most basic and effective policy for the preservation of water resources. If we change the policy such as the construction of the dam, we should put the management of the water demand in the center with the reliable philosophy. United management of the river basin has to be made with the security of water, improvement of water quality, and protection of the ecological side each other. Management of water basin also has to be completed to solve the trouble caused by using water conflict people who live up and down stream. To maintain the good quality of water, management of water basin is necessary. Also, bottom line of the united management of water basin is voluntary involvement of every citizens and local community. We suggest to preserve the origin of river and the upper at the ecological side. It is worth it to preserve.
Currently, the tax - exempted vessel fuel is provided for commercial fishing in order to increase the competitive power of fishery production thorough the National Federation of Fisheries Cooperatives. The National Federation of Fisheries Cooperatives should predict the exact amount of fuel consumption for fishing every year to request the fuel from the government. Unfortunately, there is no sophisticated model to predict the tax - exempted vessel fuel consumption. In 2003, the consumption of the tax- exempted vessel fuel was only $25.1\%$ of the estimation amount by the National Federation of Fisheries Cooperatives. This causes an inefficiency in the petroleum management. Moreover, we need some data such as the annual average fishing hours, fishing days and fishing behavior to adopt a new policy regarding fishing. Up to now, the data have been obtained by survey with response in the fishery field. In the most case, we have a small number of data because we spend so much time and money consuming for collecting fishing data. As a result, the level of confidence of the data is associated with the sample size and normally low. In order to achieve more accurate data, we need to develope an efficient method for collecting fishing data. In this research, we proposed a new method to predict the tax- exempted vessel fuel consumption more exactly. The prediction results from the proposed method has been compared with the results from the current method. According to the results in this research, the method proposed here produced much better accuracy than the current method. In addition, we also proposed in the paper for collecting fishing data of the annual average fishing hours using the tax - exempted vessel fuel consumption and the gasoline consumption of vessel engine. The fishing data obtained by using the method proposed in this research could be much more efficient and accurate because it doesn't need to estimate from survey sample data.
Co-residence is a type of intergenerational private transfers of resources: money, time and space. Adult daughters and their elderly parents decide to co-reside, depending on their utility levels before and after co-residence that mainly depend on the health status of the elderly. Therefore, co-residence implies positive net benefits to both parties in the sense that, when they co-reside, elderly parents share childcare and adult daughter provide elderly care. In other words, formal (paid) care can be substituted with informal (unpaid) one. Both marriage and giving births are considered as the major obstacles to labor market attachment of women who bear burdens of home production and childcare. Co-residence can be a solution for married women to avoid career interruption by sharing burdens with their elderly parents. However, most previous studies using the U.S. data on intergenerational private transfers focused on elderly care and have concluded that they reduce government expenditures associated with public subsidies to the elderly. This study focuses on adult daughters and it examines effects of co-residence on labor supply of married women in Korea, who face limited formal childcare programs in terms of both quantity and quality. It applies the Tobit model of married women's labor supply to the data from the Second Wave of the Korean Labor and Income Panel Survey( 1999), in order to investigate effects of co-residence and the work and health status of the co-residing elderly as well as their own health status. Four specifications of the empirical model are tested that each includes co-residence with elderly parents, their gender, or their work and health status. Estimation results show that co-residence, co-residence with female elderly, and co-residence with not-working female elderly have significant positive effects on labor supply of married women while poor health status of co-residing female elderly does not bring about any negative effects. However, co-residence with male elderly, regardless of their work and health status, has no significant effect The results indicate that co-residence is closely related to sharing of home production among female elderly and adult daughters who are married and, through intergenerational private transfers of resources in terms of time, it helps women avoid career interruption.
This study reviews theoretical considerations and past studies about real estate prices, macroeconomic variables, and real estate policies. Monthly data from January 2003 to June 2021 are used, and a VEC model, the most widely used multivariate time series analysis method, is employed for analysis. Through the model, the effects of macroeconomic variables and real estate regulatory policies on real estate prices in Seoul are analyzed. Findings are summarized as follows. First, macroeconomic variables such as money supply and interest rates do not have a significant impact on Seoul's apartment prices. Due to the high demand for housing and insufficient supply, there is a demand for buying a home regardless of macroeconomic booms or recessions. Second, tax and financial regulatory policies have an initial impact on the rise in apartment prices in Seoul, and their influence diminishes over time. Third, anti-speculation zones are expected to decrease apartment prices through the suppression of demand. However, these zones cause a rise in apartment prices. This could be understood as a lock-in effect due to the strengthening of capital gains tax. Fourth, the price ceiling did not decrease apartment prices. These findings propose that, in Seoul, where demand is high and supply is insufficient, the supply of high-quality and sufficient housing should be prioritized over various regulations such as tax regulations, financial regulations, anti-speculation zones, and price caps. Moreover, the findings provide an implication that city-specific real estate policies should be implemented for Seoul rather than regulation-oriented approaches in public policy.
ALAM, Md. Shabbir;UDDIN, Mohammed Ahmar;JAMIL, Syed Ahsan
The Journal of Asian Finance, Economics and Business
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v.7
no.12
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pp.123-129
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2020
This scholarly work is an effort to capture the effects of oil prices on the actual exchange rate between dollar and rupee. This is done with reference to the U.S. dollar as oil prices are marked in USD (U.S. Dollar) in the international market, and India is among the top five importers of oil. Using monthly data from January 2001 to May 2020. The study used the real GDP, money supply, short-term interest rate difference between two countries, and inflation apart from the crude oil prices per barrel as the factors that help define the exchange rate. The analysis, through cointegration and vector error correction method (VECM), suggests long and short-run causality amid prices of oil and the rate of exchange fluctuations. Oil prices are found to be negatively related to the exchange rate in the long term but positively related in the short term. The result of the Wald test also indicates the short-run causation from the short-term interest rate and the prices of crude oil towards the exchange rate. The present study shows that oil prices are evidence of the existence of short-term and long-term driving associations with short-term interest rates and exchange rates.
SANUSI, Nur Azura;MOOSIN, Adzie Faraha;KUSAIRI, Suhal
The Journal of Asian Finance, Economics and Business
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v.7
no.12
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pp.109-114
/
2020
The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.
The Purpose of this study is to consolidate the management status of Saggoson in the Choson period by literature research, and examined latest status by field investigation. During the Choson period, there were fish distributors such as Saggoson and Kakju. Saggoson took charge of fish distribution from the fishing ground to the land, and handed over the fish to Kakju who sold over them to the whole country: This distibution system of fish was started from and adapted to the yellow-corvenia fishery of Westhern Sea. There were two resons far this. One was that these fish were. caught much from vast fishing grounds and had a very strong demand, for which professional disributors were needed. The thor was that because fishermen had very limited capital, they had to supply the money for fish production from capitalists like Kakju whom they agreed to sell fish directly to. By this time, it was thought that the fish distibution system for the Westhern Sea fishery was determined by the background and tradition. Meanwile, Saggoson, which has been working far a long time in Westhern Sea, is placed in changing circumstances. That is, small scale fishery Saggoson deals with will be getting fewer, because the big scale reclamation projects in this area threatens the fishery's existence. Also, Saggoson, presently, might be forced to become more efficient in its distribution in the future. In this situation, the management status of a Sggoson in the past and present needs to be consolidated and investigated through this study.
Journal of the Korean Society of Manufacturing Process Engineers
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v.17
no.2
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pp.1-7
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2018
Recently, as interest in the internet of things has increased, a vibration energy harvester has attracted attention as a power supply method for a wireless sensor. The vibration energy harvester can be divided into piezoelectric types, electromagnetic type and electrostatic type, according to the energy conversion type. The electromagnetic vibration energy harvester has advantages, in terms of output density and design flexibility, compared to other methods. The efficiency of an electromagnetic vibration energy harvester is determined by the shape, size, and spacing of coils and magnets. Generating all the experimental cases is expensive, in terms of time and money. This study proposes a method to perform design optimization of an electromagnetic vibration energy harvester using an open source, big data platform.
Purpose: The objectives of this study were to define basic data for developing silver services related to goods, medical care, finance, leisure and residence. Method: In this cross-sectional study, the subjects were 792 pre-elderly and 382 elderly. The data were collected 2005 by using a structured questionnaire from Aug. 19 to Sep. 5. Data were analyzed using descriptive statistics on the SPSS version 12.0 for windows. Result: The pre-elderly had the intention to use massage chair(36.6%), homecare service(29.8%), national pension(35.9%), sports(48.5%) and personal house(59.5%) in the ares of silver goods, medical care, finance, leisure and residence, respectively. The elderly wanted sphygmomanometer(38.7%), homecare service(27.7%), pocket money from their offspring (40.5%), sports(33.5%), and personal house(74.8%). They wanted manpower in the area of reforming of living place, leisure time and education, counseling of silver goods, and management of finance. Conclusion: Based on this study findings, the pre-elderly are thoroughly established for their future than the elderly. It is important to upgrade the silver services and to prepare the manpower for the pre-elderly and the elderly in the future of the aging society.
The Journal of Asian Finance, Economics and Business
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v.5
no.3
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pp.7-17
/
2018
This paper examines short-run and long-run dynamic relationships between selected macroeconomic variables and stock prices in the Korea Stock Exchange. The data is restricted to the period for which monthly data are available from January 1986 to October 2016 (370 observations) retrieved from the Economic Statistics System database sponsored by the Bank of Korea. The study employs unit root test, cointegration test, vector error correction estimates, impulse response test, and structural break test. The results of the Johansen cointegration test indicate at least three cointegrating equations exist at the 0.05 level in the model, confirming that there is a long-run equilibrium relationship between stock prices and macroeconomic variables in Korea. The results of vector error correction model (VECM) estimates indicate that money supply and short-term interest rate are not related to stock prices in the short-run. However, exchange rate is positively related to stock prices while the industrial production index and inflation are negatively related to stock prices in the short-run. Furthermore, the VECM estimates indicate that the external shock, such as regional and global financial crisis shocks, neither affects changes in the endogenous variables nor causes instability in the cointegrating vector. This study finds that the endogenous variables are determined by their own dynamics in the model.
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