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정우수,조병선,Jeong, Woo-Soo,Cho, Byung-Sun 한국통신학회 2007 韓國通信學會論文誌 Vol.32 No.6b
본 연구는 2000년 1월부터 2005년 12월까지의 월별 시계열 자료를 이용하여 통화수요의 요금탄력성을 추정하고 분석하는 것을 목적으로 한다. 본 연구에 사용된 데이터는 M발신통화량, M발신요금지수, L발신요금지수, 소득수준, 가입자수 등의 자료가 이용되었다. 본 연구에서는 요금탄력성의 추정을 위하여 크게 두가지 계량적 방법을 사용하였다. 첫번째는 설명변수에 종속변수의 시차를 고려한 동태적인 로그선형모형을 일반화된 적률추정법(GMM)을 이용하여 장 단기 탄력성을 추정하였다. 두번째는 Box-Cox변환모형을 응용하여 시간의 변화에 따른 요금탄력성의 변화추이를 추정하였다. 연구결과 L발신요금지수는 요금탄력성의 중요한 변수로서 포함하지 않은 경우 과대추정될 수 있음을 알 수 있었다. Box-Cox변환모형을 이용한 추정결과 요금탄력성은 시간의 경과에 따라 감소하는 추세를 나타내고 있었으며, 이는 이동통신서비스가 점점 더 필수재로 전환을 하고 있는 것을 나타내는 것으로 분석된다. This paper is to estimate and analyze the price elasticities of demand for mobile calls. We used the data for the period from January 2000 to December 2005 on a monthly basis. Data used are call minutes to mobile-originating(ML+MM), tariff for dispatch of fixed and mobile calls($P_L,P_M$), income(Y), and subscriber for mobile(N). In order to provide robust estimates of price elasticities, we have used two different econometric models. One is a Dynamic model which includes a lagged dependent variable and so can differentiate between long-un and short-run price elasticities using the Generalized Method of Moments(GMM). The other is a Box-Cox transformation model which is one of the most useful methods. Box-Cox transformation model shows that elasticity changes with the lapse of time. The results are as follow : Not including the price indices for land-originating, the estimate is overestimated otherwise. In Box-Cox transformation case, price elasticity had been steadily declining. And this result shows that mobile services had been changed necessities increasingly in Korea.
정우수 ( Woo-soo Jeong ),김사혁 ( Sa-hyuk Kim ) 한국인터넷정보학회 2011 인터넷정보학회논문지 Vol.12 No.4
The Smart Network Project is planned for achieving the Internet advanced country by adjusting the Government Future Internet Development as a national agenda. The future Internet is defined as diverse alternative technology and services that can provide optimal services for individual characteristic and situation in anywhere, anytime throughout convergence of communication, broadcasting, and computing to solve the current limitation of the Internet. This paper is to analyze the economic effects of the smart network build-up. For the economic effect analysis, we reclassified the smart network industry classification system and re-drew up 2011 Inter-industry Relations Table by using the Inter-industry Relations Table issued by the Bank of Korea and the RAS techniques. And we analyzed the economic effects that can be drawn from the investment of the smart network industry. As a result, the gross production inductive effect which appears with the economic effect of the smart network establishment project from 2011 to 2015 came out to be about 72 trillion 808.2 billion KW, added value inductive effect of 44 trillion 192.9 billion KW and the employment inductive effect of the job creation of about 412 thousands people. Afterward, it is anticipated that the smart network build-up project to contribute to the improvement of Koreans` daily life. Moreover, this research will be used as a valued basic material in the pursuit of the future network projects.
정우수 ( Woo-soo Jeong ),김사혁 ( Sa-hyuk Kim ),민경식 ( Kyoung-sik Min ) 한국인터넷정보학회 2013 인터넷정보학회논문지 Vol.14 No.5
ICT 기술의 발전에 따라 미래인터넷의 중요성이 강조되고 있으며, 그 가운데 사물지능통신(M2M)은 공공 및 민간 부분에서 활용 및 중요성이 크게 부각되고 있다. 차세대 전략산업으로 M2M이 부상하고 있으나, M2M에 대한 명확한 시장분류나 분석자료가 부재하여 M2M 활성화 정책수립에 지장을 초래하고 있는 실정이다. 기술의 발전에 따라 M2M(사물지능통신)에서 IoT(사물인터넷)로의 진화가 이루어지고 있으며, 세계 각국은 기술트렌드에 따른 시장분석을 통해 새로운 성장동력 발굴을 위해 적극적으로 대응하고 있다. 따라서, 대외적인 경쟁력을 갖기 위해서는 산업 및 서비스에 대한 차별화 역량 확보가 요구된다. 본 연구에서는 IoT(사물인터넷)의 국내외 시장동향을 살펴보고, 사물인터넷 산업의 경제적 파급효과를 계량적인 측면에서 분석하고 산업구조적 특성을 규명하기 위해 산업연관표를 이용하여 사물인터넷 산업과 타 연계산업과의 관계를 분석하고자 하였다. 분석 결과 사물인터넷 산업의 생산유발효과 및 부가가치유발효과, 고용유발효과는 각각 4,746억 원, 3,147억 원, 3,628명 등으로 나타났다. As ICT technology becomes advanced, the importance of future internet is emphasized and in part of that, M2M (Machine-to Machine communications) is magnified in terms of importance and usage in public and private sector. M2M is emerging as a next generation strategic industry but there is no existing analyzed data or market classification, so it disrupts establishing policies on the M2M industry. As the technology is progressing, the evolution from M2M to IoT (Internet of Things) has started and many countries actively try to find technological trend through market analysis in order to develop new growth engine. Therefore, in order to strengthen competitiveness, we should secure differentiated capabilities in industry and service. This article examines Korea`s domestic market and international market trends in IoT and analyses the economic impact of the IoT industry using quantitative methodology and evaluates relations between the IoT industry and other relevant industries. As a result, the effect of IoT industry on production inducement is KRW474.6 billion; the effect on value-added inducement is KRW314.7 billion; and it is measured that 3,628 jobs will be created by the IoT industry.
조건부가치 추정법(CVM)을 이용한 국내 이동통신서비스에 대한 소비자 WTP 추정에 관한 연구
정우수(Woo-Soo Jeong),임명환(Myung-Hwan Rim),송영화(Yeong-Wha Song) 한국경영과학회 2008 經營 科學 Vol.25 No.2
Contingent valuation method(hereafter CVM) is generally believed to be one of the most popular methods used for quantifying the value of non-market goods or services particularly by asking respondents of willingness to pay. This study deals with how to use CVM in calculating the value of mobile telephone service by suggesting methodology of estimation and eliminating biases. This study represents an attempt to estimate the WTP(Willingness To Pay) of the mobile telephone service using the face-to-face interview which is the qualitative technique is used. in this study, by using the single bound dichotomous choice model(SBDC) in order to analyze the valuation of mobile telephone service, WTP was estimated. Also we analyze the factors to pay for mobile service in which it becomes the important factor of demanding services. We used logit model. In order to provide robust estimates of WTP, we have used the Method of Montecarlo Simulation. Consequently, consumers showed that WTP about the mobile communications service is generally high. And it could know that the WTP will fell down as the specialized knowledge about the mobile communications frequency was high. It will be able to become the important part to not only the business carrier but also the policy maker to estimate the economic value of mobile telephone service.