• International Journal of Advanced Culture Technology
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• 제7권4호
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• pp.63-68
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• 2019

Recently, the United States and China have declared a 25% retaliatory tariff for the partner country products of 50 billion dollar scale. "Trade war" is getting full swing. Such conflicts between economic powers may spread to Japan like the domino phenomenon following the EU (European Union) and become bigger in the global trade war. As a result, Korea has an economic system with a high degree of external dependence, and there is an expert's analysis that it will become the largest victim of the global trade war. If the WTO Dispute Settlement Authority approves this US 301 retaliation measure in the same way as the past case (US-EU hormone-treated beef imports), the United States will not import any Chinese imported products Chinese products) can be imposed. If the US launches a special 301 or super 301, which is stronger than the regular 301, then China is very likely to enforce US retaliation against it, and the trade war between the two countries could become a reality. This phenomenon is likely to have a negative impact on Korean companies. In particular, Korea, which is highly reliant on intermediate goods exports to China, is expected to suffer a great deal of damage. Therefore, Korea needs flexible response at home and abroad, it is necessary to enhance the autonomy of companies and protect export industries. Adjusting corporate tax rate as well as domestic industry height will be one way. The long-term (21 months) trade war between the United States and China has resulted in economic uncertainty. The resulting damage must be compensated. It is necessary to prepare the compensation through the economic council between countries. In the future, the punitive damage compensation system should be introduced.

• 한국측량학회지
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• 제32권6호
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• pp.651-659
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• 2014

With the popularization of big data environment, big data have been highlighted as a key information strategy to establish national spatial data infrastructure for a scientific land policy and the extension of the creative economy. Especially interesting from our point of view is the cadastral information is a core national information source that forms the basis of spatial information that leads to people's daily life including the production and consumption of information related to real estate. The purpose of our paper is to suggest the scheme of big data analytics with respect to the articles of cadastral resurvey project in order to approach cadastral information in terms of spatial data integration. As specific research method, the TM (Text Mining) package from R was used to read various formats of news reports as texts, and nouns were extracted by using the KoNLP package. That is, we searched the main keywords regarding cadastral resurvey, performing extraction of compound noun and data mining analysis. And visualization of the results was presented. In addition, new reports related to cadastral resurvey between 2012 and 2014 were searched in newspapers, and nouns were extracted from the searched data for the data mining analysis of cadastral information. Furthermore, the approval rating, reliability, and improvement of rules were presented through correlation analyses among the extracted compound nouns. As a result of the correlation analysis among the most frequently used ones of the extracted nouns, five groups of data consisting of 133 keywords were generated. The most frequently appeared words were "cadastral resurvey," "civil complaint," "dispute," "cadastral survey," "lawsuit," "settlement," "mediation," "discrepant land," and "parcel." In Conclusions, the cadastral resurvey performed in some local governments has been proceeding smoothly as positive results. On the other hands, disputes from owner of land have been provoking a stream of complaints from parcel surveying for the cadastral resurvey. Through such keyword analysis, various public opinion and the types of civil complaints related to the cadastral resurvey project can be identified to prevent them through pre-emptive responses for direct call centre on the cadastral surveying, Electronic civil service and customer counseling, and high quality services about cadastral information can be provided. This study, therefore, provides a stepping stones for developing an account of big data analytics which is able to comprehensively examine and visualize a variety of news report and opinions in cadastral resurvey project promotion. Henceforth, this will contribute to establish the foundation for a framework of the information utilization, enabling scientific decision making with speediness and correctness.