• 유통과학연구
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• 제17권3호
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• pp.85-95
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• 2019

Purpose - The existing marketing studies using Social Network Analysis have assumed that network structure variables are time-invariant. However, a node's network position can fluctuate considerably over time and the node's network structure can be changed dynamically. Hence, if such a dynamic structural network characteristics are not specified for virtual goods purchase model, estimated parameters can be biased. In this paper, by comparing a time-invariant network structure specification model(base model) and time-varying network specification model(proposed model), the authors intend to prove whether the proposed model is superior to the base model. In addition, the authors also intend to investigate whether coefficients of network structure variables are random over time. Research design, data, and methodology - The data of this study are obtained from a Korean social network provider. The authors construct a monthly panel data by calculating the raw data. To fit the panel data, the authors derive random effects panel tobit model and multi-level mixed effects model. Results - First, the proposed model is better than that of the base model in terms of performance. Second, except for constraint, multi-level mixed effects models with random coefficient of every network structure variable(in-degree, out-degree, in-closeness centrality, out-closeness centrality, clustering coefficient) perform better than not random coefficient specification model. Conclusion - The size and importance of virtual goods market has been dramatically increasing. Notwithstanding such a strategic importance of virtual goods, there is little research on social influential factors which impact the intention of virtual good purchase. Even studies which investigated social influence factors have assumed that social network structure variables are time-invariant. However, the authors show that network structure variables are time-variant and coefficients of network structure variables are random over time. Thus, virtual goods purchase model with dynamic network structure variables performs better than that with static network structure model. Hence, if marketing practitioners intend to use social influences to sell virtual goods in social media, they had better consider time-varying social influences of network members. In addition, this study can be also differentiated from other related researches using survey data in that this study deals with actual field data.

• 국제지역연구
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• 제13권3호
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• pp.213-238
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• 2009

이 논문은 외한위기 이후 2000년-2007년 기간 동안 한국의 기업단위 제조업체 패널자료를 이용하여 수출이 고용에 미치는 효과를 실증적으로 분석하였다. 수출의 잠재적인 내생성 문제와 분포 문제를 완화하기 위해 2단계 Tobit-DPD (Dynamic Panel Data) 모형을 기반으로 기업규모에 따라 표본기업을 대기업과 중소기업으로 나누어 동태 노동수요 모형을 추정하였다. 추정 결과 동태패널 노동수요 모형에서, 예상과 달리, 대부분 수출의 추정계수가 음의 부호로 유의하지 않게 나타났으며 노동수요에 영향을 미치지 못하였다. 또한 수출을 주도하는 대기업의 경우 역시 수출 확대가 고용을 촉진한다는 확실한 증거를 발견하지 못하였다. 이는 수출 증가가 국내 고용시장을 개선한다는 통상적인 믿음에 반(反)하는 결과이다. 또한 수출의 고용유발 계수가 낮아지는 경향과 일맥상통하며, 대기업이 부품의 해외 외주 생산을 확대하거나 현지 공장 생산의 의존도가 높아짐에 따라 국내 수출 확대가 고용창출에 기여하지 못하는, 이른바 '고용 없는 수출' 현상으로 유추해 볼 수 있다.

• 한국사회복지학
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• 제68권4호
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• pp.53-74
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• 2016

본 연구는 가구단위의 경제상황이 기부행동에 미치는 영향을 검증하기 위해 가구단위 경제상황을 가구의 유형별 소득과 자산, 자산 대비 소득으로 측정한 후 각각의 변수들이 자선적 기부에 미치는 영향을 검증하였다. 본 연구는 한국조세재정연구원의 재정패널조사 지료 중 2012년부터 2014년까지의 조사 자료인 5 ~ 7차년도의 자료를 바탕으로 구성된 총 4,938가구의 3개년 패널자료를 활용하였다. 분석의 방법으로는 확률효과 패널 토빗 모형을 활용하였다. 분석 결과, 금융자산과 근로소득, 재산소득, 이전소득의 규모가 커질수록 기부 금액이 증가하는 관계인 것으로 나타났다. 자산 대비 소득의 비율은 자선적 기부에 대해 부적인 방향의 영향력을 갖는 것으로 나타났다. 인구사회학적 변수의 경우, 가구주의 교육수준과 가구크기는 정적인 방향의 관계를 갖고, 연령의 경우 역U자의 관계를 갖는 것으로 나타났다. 본 연구는 가구 단위의 경제적 요인들이 기부행동에 미치는 영향을 패널자료를 토대로 검증해 봄으로써 가구단위 기부행동의 이해를 더욱 제고 및 확장시킨다는 점 그리고 나눔문화 확산을 위한 가구 단위 개입전략과 관련된 시사점을 도출한다는 점에서 연구의 의미를 갖는다.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.895-904
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• 2021

This study aims to investigate the impact of innovation on firm efficiency. Panel data of fourteen finance companies and nine technology companies from 2011 to 2019 on the Vietnam Stock Exchange Market is derived from audited financial statements, annual reports, and other crucial reports that are provided by Vietstock; macroeconomic variables are collected from the World Bank Database. A two-stage approach is used. First, use of the Data Envelopment Analysis methodology to measure firm efficiency. Second, use of the Pooled ordinary least squares, the Fixed effects model, and the Random effects model to investigate the impact of innovation on firm efficiency. Furthermore, the Generalized Method of Moments and the Tobit model are used to validate the impact of innovation on firm efficiency, and the t-test is used to confirm the difference in efficiency with and without the impact of innovation between two industries. The results show that there is a significant impact of innovation on efficiency, and innovation plays a more important in increasing the efficiency of the finance industry than the technology industry. Moreover, the relation between age and efficiency is like the U-shaped, and between size and efficiency is like the inverted U-shaped, whereas efficiency is not associated with inflation.

• Journal of Korea Trade
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• 제24권7호
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• pp.29-37
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• 2020

Purpose - This paper empirically investigates the relationship between country governance quality and worker remittances from foreign countries. Because remittances can be a source of funds for economic development and smoothing economic crises in developing countries, the related topic has been a concern for policy-makers and academic researchers. This paper divides the motives of remittances into altruistic and investment motives through existing papers, and then considers the governance quality the remittance receiving country as one of the determinants of remittances. Design/methodology - Our empirical model considers whether governance quality can affect the volume of remittances, and uses altruistic and investment factors studied in the literature. To do this, a two-step approach is taken. First, the panel data are examined via pooled OLS, random effects, and Tobit estimation. Second, the paper reduces six governance indicators into one variable, Governance, using the principal component technique (PCA) for a robustness check. Findings - The main findings can be summarized as follows. The negative governance variable in the estimation results shows a lower governance quality that induces workers to send savings to their home countries. This means that a country with poor governance quality seems to have more remittance inflows from abroad. It also reveals that poor governance quality is more relevant to an altruistic motive rather than an investment motive, in general. The positive per capita GDP variable shows the investment motive for developed countries. Originality/value - Existing papers have focused on various factors related to the motives of remittances. However, governance quality effects on remittance inflows have not been fully studied so far. This paper considers governance quality in an estimation equation explicitly as one of the determinants of remittances. This area of study is needed, in theory and empirically, in order to fully understand the relationship between governance and remittances.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.291-304
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• 2020

This paper examines the factors that drive temporal income diversification in rural areas of the Mekong River Delta in Vietnam, based on a framework that conceptualized diversification as a function of a household's capacity to diversify and incentives (both push and pull factors) to diversify. Drawing from five rounds of the Vietnam Living Standard Measurement Surveys covering a 13-year span (1993-2006), two panel datasets made from five cross-sectional samples are used for the analyses. The data are drawn from the Vietnam General Statistics Office. Both tobit model and Ordinary Least Squares model with random and fixed effects are applied. The main points emerging from the analysis is that income diversification is strongly influenced by household labor capacity. The relationship between household labor capacity and increasing insertion in non-farming wage activities is not driven by unobserved time-invariant factors such as household ability and motivation, but is instead driven by the higher labor capacity of households. In terms of the other household capacity variables, the effect of farm size is much larger in terms of retaining households in traditional occupations as compared to pushing them towards non-farm wage employment. Other variables such as household access to financial capital do not play an important role.