• Communications for Statistical Applications and Methods
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• v.13 no.1
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• pp.141-150
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• 2006

Penalized likelihood regression for exponential families have been considered by Kim (2005) through smoothing parameter selection and asymptotically efficient low dimensional approximations. We derive approximate Bayesian confidence intervals based on Bayes model associated with lower dimensional approximations to provide interval estimates in penalized likelihood regression and conduct empirical studies to access their properties.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2007.10a
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• pp.203-219
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• 2007

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.05a
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• pp.258-259
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• 2005

• East Asian Economic Review
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• v.20 no.3
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• pp.279-309
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• 2016

The proposed Trans-Pacific Partnership (TPP) is a free trade agreement among 12 Pacific Rim countries whose joint gross domestic products (GDPs) account for 36 percent of world GDP and whose mutual trade accounts for approximately 24 percent of world trade. As for most proposed free trade agreements (FTAs), trade economists have provided ex ante computable general equilibrium (CGE) estimates to predict the trade, employment, and real per capita income effects of this agreement, such as ITC (2016). This paper-intended to complement these studies-examines the potential impacts of TPP beyond such traditional CGE estimates, taking a broader economic, governance, and historical perspective. First, we contrast these traditional CGE trade and welfare estimates that treat all firms within an industry as homogeneous with more recent CGE analyses that allow firms' productivities to be heterogeneous. We show that the latter models' trade predictions are much more consistent with ex post empirical evidence of average trade effects of FTAs. Second, empirical evidence now strongly confirms the existence of FTA "contagion." We review this evidence and show that predictive models of the evolution of FTAs indicate that the TPP should be formed. With China now having formed 12 FTAs and negotiating five new ones (including a sixteen member Asia-Pacific FTA), the United States would likely face considerable trade diversion without the TPP. Third, we examine empirical evidence on the likely further economic growth implications of FTAs by reducing firms' uncertainty over trade relations and trade policies. Fourth, we examine empirical evidence on the additional impact of FTAs on consolidating democratic institutions in countries. The TPP would likely help consolidate some of the less mature democracies. Fifth, we examine empirical evidence on the reductions of conflicts (and enhanced peace) between countries owing to the formations of FTAs. We conclude the paper noting that the potential net benefits to member countries of the proposed TPP extend well beyond the real income gains to households based upon traditional CGE models.

• Informatization Policy
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• v.29 no.1
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• pp.3-23
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• 2022

As a form of online co-production, government crowdsourcing platforms have received growing attention from scholars and practitioners as a means of enhancing government-citizen co-production. This research aims (1) to introduce government leaders and managers to recent empirical research examining real-world cases of government crowdsourcing from different countries, (2) to systematically organize, analyze, and discuss the findings and implications of recent government crowdsourcing empirical studies, and (3) to provide government practitioners with evidence-based insights that could encourage informed decisions about how they design, implement, and evaluate government crowdsourcing platforms effectively and inclusively. Literature review is limited primarily to empirical works that rigorously examined real-world cases of government crowdsourcing. By focusing on a review of empirical research on crowdsourcing co-design and crowdsourcing design/government delivery platforms, this study discusses the key findings systematically and offers some insights and implications for leaders and managers seeking effective and inclusive design and implementation of government crowdsourcing platforms.

• SUVANNABHUMI
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• v.12 no.1
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• pp.157-175
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• 2020

This paper presents the work of Southeast Asian scholar Ramon Guillermo. Using sophisticated computer-aided methods, Guillermo approaches a range of topics in the wide fields of social sciences and the humanities. A creative writer as well as an activist, Guillermo grounds his studies in nationalism and Marxism. Particularly interested in Indonesian and Philippine society and culture, Guillermo engages with the writings of labor leaders Tan Malaka and Lope K. Santos, translations of Marx's Capital into Bahasa and Filipino, and studies as well the discursive and historical connections between the Communist Parties of both countries. The paper aims to introduce the innovations of Guillermo's studies, particularly in the fields of cultural studies and translation studies. The type of cultural studies Guillermo practices is empirical, taking inspiration from innovations done in the digital humanities. Guillermo is most opposed to trendy, fashion-seeking approaches that are not grounded on history. He reserves particular ire for "hip" postcolonialism, and instead praises studies that are founded on politics and materialism. In translation studies, Guillermo goes beyond the mere cataloguing of mistakes. For him, it is the mistakes and "perversities" of a translation that is interesting and illuminating. Guillermo himself is a translator, and the paper ends with a brief discussion of his production in this field.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.137-151
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• 2015

Crowdfunding is a novel method for funding from many individuals using web based platform often in return for products or equity. It allows individual entrepreneurs to create diverse products and services. This thesis elaborates a theoretical foundation for identifying the factors that must have motivated the funders in sponsoring crowdfunding projects. Based on the motivation theory, the proposed research model is constructed with intrinsic and extrinsic motivations from relevant literatures. We also examined how different crowdfunding modes ('Keeping It All' and 'All or Nothing') moderate the proposed research model. Based on the survey from various crowdfunding service providers in Korea, this empirical study found that continuous participation in crowdfunding is positively correlated with factors such as enjoyment, familiarity, agency credibility and reward, while peer-influence shows negative correlation. Furthermore, moderating effects of funding modes significantly affect continuous participation. These empirical results contribute insights on the emerging phenomenon of crowdfunding from funders' perspectives and shed lights more on the ways that the actions of platform providers may affect their ability to receive entrepreneurial financing.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.523-531
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• 2016

This paper studies the empirical relationship between various privacy protection measures and personal information invasion experience of firms and individuals using rich and heterogeneous survey data. By analyzing PSM models. we get the following results: first, the treatment group which have more technical measures and/or IS investment tends to experience more privacy invasion than the control group which have less of them. second, the reverse causality, that is firms and individuals with more experience of privacy invasion tends to take more measure for personal information protection, is found to exist. From these result, we discuss proper privacy policies implications in respects of attackers benefits and individual irrationality.

• Journal of Arbitration Studies
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• v.11 no.1
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• pp.37-73
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• 2001

I. Preface It is widely understood that the 21st century, with the development of information technology(IT) and the spread of networks, will be called a digital economy where information-driven business will be norm rather than the smokestack economy of the past. And the drastically changed world market is expected to generate even more commercial transactions across the world creating large numbers of legal disputes. Therefore, each country will attempt to develop ADR(Alternative Dispute Resolution) as an alternative to judicial proceedings in order to cope with not only the ever-increasing international commercial claims but also domestic legal disputes. Taking this reality into account, this study begins with an exploration of mediation procedure as a way of helping the court faced with its overwhelming numbers of lawsuits. And also this study makes a theoretical comparison between ADR and mediation procedure, analyzing critical factors affecting the mediation agreement. Furthermore, it is designed to find ways for disputing parties to make better use of mediation and ensure fairness to the parties involved. It tries to enhance mediators' understanding of critical factors influencing the mediation agreement and their ability to handle commercial disputes in a more efficient way. To make an empirical analysis of these factors, bibliographic research and questionnaire were used. This analysis will fill the gap between the theory and reality, and make possible the structured research on the factors. Therefore, this study sets the model by which we can evaluate how the three critical factors (parties' inclination, mediators' characteristics, institutional features) affect the parties reaching a mediation agreement. Based on this analysis, a theoretical hypothesis was built and a questionnaire was made and distributed. During the course of this work, SPSSWIN 10.0 program was applied.

• The Journal of Industrial Distribution & Business
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• v.11 no.3
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• pp.39-50
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• 2020

Purpose: Agriculture, which is heavily influenced by climate conditions, is one of the industries most affected by climate change. In this respect, various studies on the impact of climate change on the agricultural market have been conducted. Since climate change is a long-term phenomenon for more than a decade, long-term projections of agricultural prices as well as climate variables are needed to properly analyze the impact of climate change on the agricultural market. However, these long-term price projections are often major constraints on studies of climate changes. The purpose of this study is to analyze the impacts of climate changes on the Korean onion market using ex-post analysis approach in order to avoid the difficulties of long-term price projections. Research design, data and methodology: This study develops an annual dynamic partial equilibrium model of Korean onion market. The behavioral equations of the model were estimated by OLS based on the annual data from 1988 to 2018. The modelling system is first simulated to have actual onion market conditions from 2014 to 2018 as a baseline and then compared it to the scenario assuming the climatic conditions under RCP8.5 over the same period. Scenario analyses were simulated by both comparative static and dynamic approach to evaluate the differences between the two approaches. Results: According to the empirical results, if the climate conditions under RCP8.5 were applied from 2014 to 2018, the yield of onion would increase by about 4%, and the price of onion would decrease from 3.7% to 17.4%. In addition, the average price fluctuation rate over the five years under RCP8.5 climate conditions is 56%, which is more volatile than 46% under actual climate conditions. Empirical results also show that the price decreases have been alleviated in dynamic model compared with comparative static model. Conclusions: Empirical results show that climate change is expected to increase onion yields and reduce onion prices. Therefore, the appropriate countermeasures against climate change in Korean onion market should be found in the stabilization of supply and demand for price stabilization rather than technical aspects such as the development of new varieties to increase productivity.