• Asia Marketing Journal
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• v.3 no.4
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• pp.16-37
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• 2001

많은 소비자 행동연구에서 연구가 본질적으로 구매 전 평가와 선택에 집중된 경향이 있으며, 또 감정보다 인지의 역할에 관한 연구가 많다. 소비과정에 관한 감정적 연구가 중요함에도 기존의 연구에서는 이러한 소비자의 감정적 요인과 같은 심리적인 요인이 소비과정행동에 어떠한 영향을 미치는가에 관한 연구는 매우 적다고 할 수 있다. 따라서 본 연구는 제품이나 서비스가 선택되고 난 후에 소비과정을 거쳐서 나타나는 소비 후 감정(소비 감정)에 영향을 미치는 요인들을 감정적 관점에서 소비과정행동을 중심으로 탐색하였다. 구매 후 소비 전 기대감정은 소비 후 소비감정과 어떠한 관계가 있는가에 대하여 직접적인 관계와 간접적인 관계로 나누어 스포츠 센타를 연구대상서비스로 선정하여 탐색하였다. 긍정적 기대감정은 긍정적 소비감정에 직접적인 효과가 있었지만, 부정적 기대감정은 긍정적 소비감정에 직접적인 효과가 없었다. 간접효과를 보면 긍정적 기대감정과 부정적 기대감정 모두 소비의지와 소비과정행동의 적극성을 매개로 목적달성정도에 영향을 미치고 또 목적달성정도에 따라서 긍정적 소비감정수준이 달라지는 것으로 나타났다. 특히 주목이 되는 내용은 긍정적 소비감정의 수준에 소비과정 행동의 적극성이 직접적으로 영향을 미치지 못하고 목적달성 정도를 매개로 간접적으로 영향을 미친다는 점이다.

• Journal of the Korean Geographical Society
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• v.50 no.2
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• pp.239-254
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• 2015

The purpose of this study is to explore the possibility of ethical geography education, based on the 'relational turn' of understanding of human/non-humans and place in the context of the student's daily consumption. To do this, first and foremost, due to the de-localization of product networks that students consume, it has been discussed the situation that the ethics of responsibility and care is reduced. Then, this paper suggests an understanding of place and human/non-humans in a relational view, as a basis for the student's ability to look at matters of consumption and ethics through the viewpoint of relational ethics of responsibility and care. Finally, this research examined relation of commodity consumption, relational geographies and ethics of responsibility and care through 'mobile phone connection'. It is argued in the paper that the role of ethical geography education lies also in allowing students to feel connected to various humans/non-humans as a absent presence in his own life and to acquire cognitive and practical skills to provide more responsibility and care for their socio-ecological environment, thus making a better world.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.539-541
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• 2019

오프라인 소비자의 의사결정은 크게 라이프스타일, 동기, 개성, 학습 등 개인적인 영향요인과 문화, 기후, 가족 등 기타 상황적 요인을 포함하는 환경적 영향요인에 의해 결정된다. 이러한 요인들을 입력 값으로 하는 다양한 딥러닝 모델을 이용한 소비예측 연구들이 진행되고 있다. 딥러닝을 이용한 예측모델을 사용하기 위해서는 먼저 요인들이 의사를 결정하는데 있어 얼마나 상관관계가 있는지 파악하는 작업이 중요하다. 본 논문에서는 이를 위해 다양한 상관관계 분석모델을 이용해 소비 의사결정 요소 중 기후, 문화와 같은 상황적 요인과 소비와의 상관관계를 도출하고, 기후, 문화를 대변하는 미세먼지 데이터와, SNS 버즈량 데이터와 소비데이터를 학습하는 소비예측 LSTM모델을 제안하고자 한다.

• Korean Journal of Culture and Social Issue
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• v.24 no.1
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• pp.79-99
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• 2018

Studies find that money spent for others (vs self) increases happiness. This study examines whether the hedonic benefit of prosocial spending varies according to one's level of loneliness. Given that prosocial spending strengthens social bonding, social spending was expected to have a greater impact on the happiness of lonely individuals. This prediction was supported in two studies that employed different measurements of prosocial spending (typical spending habit, Study 1; resource allocation task, Study 2) for predicting happiness either at the trait- (Study 1) or state-level (Study 2). In short, lonely people seem to benefit more from prosocial spending than less lonely counterparts. This research contributes to the prosocial spending and happiness literature by shedding light on an important individual difference factor, loneliness.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.705-717
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• 2009

본 연구의 목적은 미국 여대생의 자의식, 물질주의성향, 충동구매와 과시적 소비성향간의 관계에 관하여 조사하는데 있다. 상징적 자기완성이론을 이론적 근거로 하여 가설을 설계하였으며, 설문지 조사법을 이용하여 자료를 수집하였다. 편의표본추출법을 적용하여 미국 중서부지역의 한 대학교의 여대생 315명을 연구대상으로 설문조사를 하였으며, 최종적으로 296명의 응답을 연구결과분석에 이용하였다. Stepwise 회귀분석을 통한 분석 결과 공적 자의식은 물질주의성향과 충동구매성향 및 과시소비성향에 정적 영향을 미치는 것으로 나타났으며, 사적 자의식은 과시소비성향에 부적 영향을 미치는 것으로 나타났다. 또한, 단순회귀분석을 통한 분석 결과 물질주의성향과 충동구매성향 및 과시적 소비 성향 간에 정적인 관계가 있는 것으로 나타났다. 본 연구는 자의식, 물질주의성향, 충동구매와 과시소비 성향간의 관계 메커니즘을 증명해 보임으로써, 사회 심리학적 소비자 행동연구에 이론적 틀을 제시하였다. 또한, 본 연구결과는 미국 여대생을 표적 시장으로 하는 기업이 표적소비자의 소비행동과 심리를 이해하는데 중요한 자료로 이용될 것으로 기대된다.

• Environmental and Resource Economics Review
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• v.21 no.3
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• pp.573-593
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• 2012

The paper examined the relationship between total and sector level electricity consumptions and economic growth in Korea for the period of 1980-2009. The results of unit-roots and cointegration tests show that all variables-real GDP, total, primary, manufacture, and service sector electricity consumptions-were not stationary and there were no linear combinations in the long run between electricity consumptions and economic growth. Thus, by using standard Granger-causality test we found that total, primary, and manufacture sector electricity consumptions were Granger-caused by economic growth, not vice versa. This means that causality runs from economic growth to each electricity consumption. However, there is no causal relationship between service sector electricity consumption and economic growth. These results imply that the government policies aimed at reducing electricity consumptions and increasing energy efficiency etc. can be feasible without deterring economic growth in Korea.

• Journal of Energy Engineering
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• v.28 no.2
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• pp.1-17
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• 2019

This article analyzes causal relationships among gross domestic product(GDP), electricity consumption, carbon dioxide($CO_2$) emission and foreign direct investments(FDI) inflow of Korea over the period from 1976 to 2014, using unit root test, cointegration test, and vector error correction model(VECM). As the results, this article found (1) a long-run bi-directional causality between GDP and electricity consumption, which may imply a negative impact of electricity consumption-saving policy on economic growth, (2) uni-directional short- and long-run causalities running from $CO_2$ emission to GDP, and a uni-directional long-run causality running from $CO_2$ emission to electricity consumption, which can result in a negative impact of $CO_2$ emission reduction policy on economic growth and electricity consumption, (3) a uni-directional long-run causality running from FDI to GDP, and uni-directional short- and long-run causalities running from FDI to electricity consumption, which may result from relatively lower electricity prices than investing countries, (4) no causality between FDI and $CO_2$ emission, which is based on the characteristics of FDI composed of service industries. Considering the above causal relationships among the four variables, the policy implication needs to focus on the electricity demand management based on the relevant R&Ds, and on the gradual transition from fossil fuel- to renewable-energy. Adaptive policy to increase the FDI inflow is also needed.

• Korean Journal of Social Welfare Studies
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• v.40 no.3
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• pp.327-348
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• 2009

The purpose of this study is to understand the diverse lifestyles of Korean older adults by analyzing the consumption pattern of older households and its determinants. The 9th wave of the Korea Labor and Income Panel Study(KLIPS) data was used for analysis. The twenty consumption items provided by the dataset was reduced to thirteen according to the consumption purpose inherent in the item. K-means cluster analysis and multinomial logistic regression was employed to categorize the consumption pattern of older households and to analyze the determinants. The results are as follows. The consumption pattern of Korean older adults was clustered into six distinctive groups named Breadwinner, Leisure-time pursuer, Friendly outgoes, Daily-life survivor, Illness sufferer and Shelter seeker. Breadwinner, Leisure-time pursuer and Friendly outgoes were lifestyles that earn and spend more compared to the other three. Nevertheless, they differed according to the family size, indicating that the parenting burden might have direct influence on the lifestyle of Korean older adults. Older adults without parenting burden and with high level of education and economic capacity were likely to show Friendly outgoes lifestyle. On the other hand, Daily-life survivor, Illness sufferer and Shelter seeker showed lower level of spending, indicating that for those lacking in economic capacity, urgent needs such as medical need or housing need dominates the lifestyle. The results call for adequate custom policies that best fit the needs of older adults.

• Journal of Environmental Policy
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• v.12 no.3
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• pp.97-122
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• 2013

The ARDL(Autoregressive Distributed Lag) method is employed analyzes the long-run equilibrium relationships among environmental pollution($CO_2$ emissions) per capita, income levels per capita, and energy consumption per capita. The error correction model is employed to analyze the short-term effects of income and energy consumption on $CO_2$ emissions. The Toda-Yammamoto method is employed for causal analysis among the three variables. The results show that income levels, energy consumption, and $CO_2$ emissions are cointegrated. We found the N type relationship between income and $CO_2$ emissions. Long-term elasticities of income and energy consumption with respect to $CO_2$ emission were greater than their short-term elasticities. There were a bilateral causality between energy consumption and $CO_2$ emissions. There was a unilateral causality from $CO_2$ emissions to income and from energy consumption to income not vice versa. Energy consumption can be an important variable to contribute to forecasting $CO_2$ emissions.

• Environmental and Resource Economics Review
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• v.12 no.2
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• pp.327-346
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• 2003

Unlike previous studies on the causal relationship between energy consumption and economic growth, this paper analyses the dynamic causal relationship between these variables using the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error-correction model and impulse response function. The empirical results show that while the energy consumption to a shock in income responds positively, the income responds positively to the shocks in energy consumption in the first place and then the responses become negative. We also find that the impact of energy consumption shock on the income is short-lived and causes higher inflationary pressure.