• 제목/요약/키워드: Econometric Methodology

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메타버스 이용자 경험요인이 만족도에 미치는 영향: 텍스트 마이닝과 계량 분석 혼합방법론 (Unraveling the relationship between the dimensions of user experience and user satisfaction in metaverse: A Mixed-methods Approach)

  • 정다현;김희웅;윤상혁
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.19-39
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    • 2023
  • Purpose This study aims to identify user experience factors that can enhance both metaverse utilization and satisfaction based on the honeycomb model. For this we presented two research questions: first, what are the experience factors of metaverse users? Second, do metaverse user experience factors impact satisfaction? Design/methodology/approach To address these questions, a mixed-methodology approach is employed, including text mining techniques to analyze online reviews and quantitative econometric analysis to reveal the relationship between user experience factors and satisfaction. A total of 69,880 reviews and ratings data were collected. Findings The analysis revealed eight metaverse user experience factors: entertainment, operability, virtual reality, immersion, economic activity, visual performance, avatar, and sociality, all of which were found to have a positive impact on user satisfaction.

전파자원 활용을 위한 인과 관계 기반 정량적 경제 파급 효과 분석모형 비교 연구 (Comparative Study of Causality based quantitative Economic Impact Analysis Models for Utilizing Spectrum Resource)

  • 김태한;김태석
    • 한국콘텐츠학회논문지
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    • 제18권11호
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    • pp.430-446
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    • 2018
  • 본 논문에서는 전파자원 활용과 관련한 정책 및 투자 방안 수립에 대한 경제적 근거 및 기초자료로서의 파급 효과 분석 방법론에 관한 비교연구를 수행하였다. 정책 및 투자 방안 간 객관적 비교 및 선정을 위해 수치적 결과를 제공하는 방법론을 분석 대상으로 하였고 수학적인 모형에 기반을 둔 정량적 방법론인 계량경제모형, 산업연관분석, 연산일반균형, 시스템 다이내믹스 방법에 대해 분석 비용 등 다양한 관점에서 효용과 한계를 비교 분석하였다. 또한, 전파자원 활용의 효과 분석 측면에서 이들 방법론을 비교하고, 분석된 방법론의 장점들을 활용하고 한계를 상쇄시키기 위해 단일 방법론들을 결합한 혼합형 모형에 대한 최근 연구결과를 논의하였다. 연구결과는 전파정책 및 투자 방안 실행의 효율성 검증을 위한 다양한 분석방법 중 분석의 목적과 우선순위에 부합하는 방법을 선정하는 데 참고 지표로 활용할 수 있다.

A Study on the Determinants of Bilateral Trade : Evidence from China and US

  • He, Yugang
    • 동아시아경상학회지
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    • 제7권1호
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    • pp.27-38
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    • 2019
  • Purpose - Recently, the trade war between China and US has been escalating, which has also attracted worldwide attention. Based on this background, this paper sets China and US as an example to explore the determinants of bilateral trade between China and US. Research design, date, and methodology - A quarterly data from the 2000-Q1 to the 2017-Q4 will be used to perform an empirical analysis under some econometric approaches such as the fully modified least squares and the vector error correction estimates. Result - The results illustrate that the two economic entities of China and US have the greatest positive effect on bilateral trade between China and US. The real exchange rate has a positive effect on bilateral trade between China and US. The nominal exchange rate has a negative effect on bilateral trade between China and US in the short run. US's average price has a positive effect on bilateral trade between China and US in the short run. China's average price has a negative effect on bilateral trade between China and US in the short run. Meanwhile, the bilateral trade between China and US also suffers from the economic crisis happened in 2008. Even through the bilateral trade between China and US in the short run is deviate from the long-run equilibrium, there exist an error correction mechanism back to the long-run equilibrium. Conclusion - This paper provides some empirical evidences for both governments. Based on the results of this paper, both governments should take corresponding measures to promote the development of bilateral trade between China and US.

A Study on the Determinants of Income Distribution: Evidence from Macroeconomics

  • He, Yugang;Feng, Wang
    • 유통과학연구
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    • 제17권1호
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    • pp.21-31
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    • 2019
  • Purpose - As the market economy deepens, the issue of social equity caused by income distribution becomes more and more significant. Therefore, this paper attempts to exploit the determinants of income distribution in terms of macroeconomics. Research design, data, and methodology - The data set from 1990 to 2017 will be used to conduct an empirical analysis under a menu of econometric approaches such as vector autoregressive model and impulse response function. The income distribution and other macroeconomic variables such as foreign direct investment and employment will be used to conduct an empirical analysis to explore the determinants of income distribution in terms of macroeconomics. Results - The findings indicate that the income distribution is related with macroeconomics. More specifically, the export, import, GDP and foreign direct investment play a role in deteriorating the income distribution. Conversely, the industrialization, inflation and employment can improve the income distribution. Unfortunately, the inflation and employment do not get through under 5% significant test. Conclusions - Due to that a good income distribution can be beneficial for both a country and an individual, this paper provides a new scope for China's government to improve its income distribution in terms of macroeconomics.

The Impact of Cross-Border Tourism on Bilateral Trade: Evidence from BRICS Countries

  • He, Yugang
    • 융합경영연구
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    • 제6권4호
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    • pp.29-39
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    • 2018
  • Purpose - With the improvement of people's living standards, traveling abroad has become a common way for people to release the pressure of life and work. In economics, this kind of way can affect the international trade. Because of this background, this paper sets BRICS countries as an example to explore the impact of cross-border tourism on bilateral trade. Research design, data, and Methodology - The annual time series data sets form 1998 to 2016 are used to perform an empirical analysis under a series of econometric approaches such as the Phillips-Perron test and the Engle-Granger two-step test. In this paper, the cross-border tourism and the bilateral trade will be used to conduct an empirical analysis based on the econometric approaches to analyze the impact of cross-border tourism on bilateral trade. Results - The finding of this paper show that there is a long-run relationship between cross-border tourism and bilateral trade in this sample. Moreover, the cross-border tourism is the Granger causality of bilateral trade. Namely, the cross-border tourism can promote the development of bilateral trade. Conclusions - In short, the evidences that this paper presents show that the cross-border tourism is a driving factor that impacts the bilateral trade in the sample of BRICS countries.

정보화 시대 한국의 기능적 소득분배와 Goodwin 성장순환모형: 1981~2016 (Goodwin's Growth Cycle Model and Functional Income Distribution in the Information Age of Korea: 1981~2016)

  • 정승필;권오범
    • 한국전자거래학회지
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    • 제25권3호
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    • pp.63-76
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    • 2020
  • 21세기 들어 정보화는 국민 제반의 삶에 지대하게 작용하고 있다. 실제 정보화로 인해 일어나는 사회구조와 생활양식의 엄청난 변화를 몸소 체험하고 있다. 본 논문은 정보화로 인한 사회구조에 대한 논의보다 경제현상에 대해 관심을 둔다. 경제성장, 경기순환, 소득분배를 종합적으로 표현 가능한 Goodwin 모형이 정보화시대 한국경제에 적합한지를 확인한다. 한국경제의 시계열자료로부터 계수를 추정하는 계량경제방법론을 택하여 모형을 시뮬레이션한다. 시뮬레이션 결과 Goodwin 모형이 한국의 기능적 소득분배를 분석하는데 적절함을 확인하였다.

Forecasting Methodology of 3G Mobile Services with Consideration of Policy Issues

  • Kim, Jin-Ki
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2007년도 추계학술대회 및 정기총회
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    • pp.190-194
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    • 2007
  • In most countries, mobile subscribers are already experiencing 3G-like services. At the moment of launching 3G services, lots of studies showed estimates of the number of subscribers for 3G services, using long-term demand curves, econometric methods or survey methodologies. Those studies mainly focused on the potential number of subscribers and the point of rapid growth rather than precise estimates for the services. Even though we've already experienced parts of 3G services, full length of 3G services are expecting in near future. Therefore, now we need to have more accurate estimates for 3G services. While we thought that 3G services were moved from 2G, in real place 3G services are being evolved from 2G services. In the process of evolving, regulators' policy affects service demand and diffusion significantly. For the more accurate estimates, we need to consider policy issues which influence service diffusion practically in real place. This study aims to present a model which shows better estimates for 3G services with consideration on policy issues, such as numbering issues, price regulation, and competition policy. The consideration can provide more accurate estimates for 3G services with service providers. The methodology could help academicians In forecasting of similar telecommunications services as well.

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사이버비행 요인 파악 및 예측모델 개발: 혼합방법론 접근 (Juvenile Cyber Deviance Factors and Predictive Model Development Using a Mixed Method Approach)

  • 손새아;신우식;김희웅
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권2호
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    • pp.29-56
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    • 2021
  • Purpose Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance. Design/methodology/approach By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents. Findings This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

Research on Spatial Dependence and Influencing Factors of Korean Intra-Industry Trade of Agricultural Products: From South Korea's Agricultural Trade Data

  • Lv, Hong-Qu;Huang, Chen-Yang
    • Journal of Korea Trade
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    • 제25권3호
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    • pp.116-133
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    • 2021
  • Purpose - Intra-industry trade of agricultural products can eliminate the disadvantage of Korea's traditional agriculture and improve its lack of comparative advantage. The main purpose of this paper is to measure the level and index of intra-industry trade of Korean agricultural products and to explore the spatial dependence and spillover effect associated with this type of trade. The main factors influencing intra-agricultural trade are analyzed from two perspectives: the population and the classification of agricultural products. Design/methodology - First, the level of intra-industry trade of Korean agricultural products is measured. Second, to obtain a more accurate estimate of the influence of various factors, and based on two types of weight matrices, a spatial econometric model is constructed from two aspects: population and classification of agricultural products. The status and the factors influencing intra-industry trade are also studied. Findings - It is concluded that there is a positive spatial correlation between Korea's intra-industry trade in agricultural products and that of its trading partners. The spatial spillover effect of this type of trade is verified by using the spatial autoregressive model (SAR). Labor-intensive agricultural products are found to have a positive spillover effect on intra-industry trade, while land-intensive products do not have a significant effect. Originality/value - In this paper, the two types of agricultural products are meticulously distinguished, and the spatial effect of the intra-industry trade of agricultural products as well as the influence of various factors are analyzed. In addition, the accuracy of the estimation of the coefficients of the factors by using the spatial econometric model is higher than that of the ordinary panel data model.

정책분석(政策分析)을 위한 산업부문(産業部門) 수급모형(需給模型)과 그 해법(解法) (An Industrial Sector Model Formulation and its Computation for Policy Analysis)

  • 안병훈
    • 대한산업공학회지
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    • 제4권2호
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    • pp.91-96
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    • 1978
  • A modeling framework and its computational methodology for an industrial sector of the economy are investigated. The suggested industrial sector model is characterized by a programming (process analysis) representation of a production sector and an econometric estimation of the price sensitive (own and cross-prices) demands. By introducing the price sensitive demands into the process analysis representation of the production sector, it becomes possible to analyze and plan the pricing policy, the optimal production schedules and capacity expansion plans within a single framework. The computational scheme suggested in the report is based on the iterative approach each of which solves a separable convex programming problem.

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