본 연구는 한국노동패널 자료를 사용하여 선천적 직업적성이 직업만족도에 미치는 영향을 실증분석하였다. 분석을 위해서는 선천적 직업적성을 파악하는 것이 관건인데, 서양의 적성검사 기법은 한계가 있어서 동양사회에서 오랫동 안 실생활에 활용하고 있는 사주분석 기법을 적용하여 선천적 직업적성을 도 출하였다. 실증분석 결과, 첫째, 선천적 직업적성과 실제로 종사하고 있는 직업 유형이 일치한 사람의 직업만족도는 그렇지 않은 사람의 직업만족도보다 높았 다. 둘째, 선천적 직업적성과 종사하고 있는 직업유형과 일치한 사람은 그렇지 않은 사람보다 더 오랫동안 근무하며, 근속기간이 길수록 직업만족도는 높았 다. 셋째, 선천적 직업적성이 직장형이면 임금근로자가 될 가능성이 높았고, 선 천적 직업적성이 사업형이면 비임금근로자가 될 가능성이 높았다. 넷째, 경쟁심리가 강한 사람의 직업만족도는 경쟁 심리가 강하지 않은 사람의 직업만족 도보다 낮았다. 이러한 실증분석 결과는 선천적 직업적성이 직업만족도에 지 대한 영향을 미치고 있음을 입증한다. 직무만족은 삶의 만족과 긍정적인 관계 에 있다. 직무만족이 높을수록 삶의 만족 또한 높아지기 때문에 개인의 삶의 만족을 높이기 위해서는 자신의 선천적 직업적성을 정확히 이해하고, 선천적 직업적성에 맞는 직업유형을 선택하는 것이 무엇보다 중요하다.

본 연구의 목적은 국가문화와 국제관광수요와의 인과성을 규명하는데 있 다. 본 연구의 목적을 달성하기 위하여 Hofstede 국가문화차원 이론을 바탕으 로 한국문화와 일본문화와 베트남관광수요와의 인과성에 대해 실증분석하였 다. 실증분석에 앞서 한국과 일본문화를 Hofstede 6가지 문화차원을 바탕으로 비교 분석하였으며, 국가 간 문화차이를 나타내는 문화적 거리를 계측하였다. 한국과 일본문화는 남성성 차원과 개인주의 차원에서 가장 큰 차이를 나타내 었다. 관광목적지 국가인 한국⋅일본과 관광객 원척국가인 베트남과의 문화 적 거리를 계측한 결과 일본문화에 비해 한국문화가 베트남문화에 더 가까운 것으로 나타났다. 본 연구에서는 중력모형을 기초로 국제관광수요 결정요인 중 전통적인 경 제요인으로는 GDP, 환율 변수 그리고 문화요인으로는 문화적 거리 변수를 설 명변수로 설정하고 한국과 일본을 방문하는 베트남 관광수요에 미치는 영향 을 분석하였다. 분석결과 본 연구모형에 사용된 모든 변수들은 한국과 일본을 방문하는 베트남 관광수요에 유효한 영향을 미치는 것으로 나타났다. 본 연구 에서 주요 관심사이었던 문화적 거리 변수는 한국과 일본을 방문하는 베트남 관광수요에 부(-)의 영향을 미치는 것으로 나타났다. 즉 문화적 거리가 멀수록 관광수요에 부정적인 영향을 미친다는 것을 추정할 수 있다. 특히, 문화요인 인 문화적 거리 변수는 GDP와 환율과 같은 경제요인보다 베트남 관광수요에 더 큰 영향을 미치는 것으로 추정되었다. 이는 한국과 일본을 방문하는 베트 남 관광객의 경우 관광목적지를 선택에 있어 문화가 중요한 요인이 되며 문 화적으로 유사한 목적지를 선택한다고 해석할 수 있다.

This study aimed to analyze causality of climatic factors that affecting the yield of whole crop barley (WCB) by constructing a network within the natural ecosystem via the structural equation model. The WCB dataset (n=316) consisted of data on the forage information and climatic information. The forage information was collected from numerous experimental reports from New Cultivars of Winter Crops (1993-2012) and included details of fresh and dry matter yield, and the year and location of cultivation. The climatic information included details of the daily mean temperature, precipitation, and sunshine duration from the weather information system of the Korea Meteorological Administration. The variables were growing days, accumulated temperature, precipitation, and sunshine duration in the season for the period of seeding to harvesting. The data was collected over 3 consecutive seasons—autumn, winter, and the following spring. We created a causality network depicting the effect of climatic factors on production by structural equation modeling. The results highlight: (i) the differences in the longitudinal effects between autumn and next spring, (ii) the factors that directly affect WCB production, and (iii) the indirect effects by certain factors, via two or more paths. For instance, the indirect effect of precipitation on WCB production in the following spring season via its effect on temperature was remarkable. Based on absolute values, the importance of WCB production in decreasing order was: the following spring temperature (0.45), autumn temperature (0.35), wintering (-0.16), and following spring precipitation (0.04). Therefore, we conclude that other climatic factors indirectly affect production through the final pathway, temperature and growing days in the next spring, in the climate-production network for WCB including temperature, growing days, precipitation and sunshine duration.

호프스태터와 예이츠는 인생의 신비함은 결코 틀리지 않으며, 신비하고, 매혹적이라는 점에 동의하는 것 같아 서로 연관성이 있어보여서 서로 비교하면서 읽게 되었다. 인생의 신비로움을 파헤치는 그들의 노력은 환상적이다. 그러나 읽으면 읽을수록 더 혼란스러워지는 것도 사실인 듯하다. 그러나 거의 따라가는 듯도 하며 책을 다 읽은 지금도 신비의 여운이 감돈다.

The aim of this study is to analyze the relationship between international oil price as a fuel cost in overseas fisheries and skipjack tuna price as a part of main products in overseas fisheries using monthly time series data from 2008 to 2017. The study also tried to analyze the change of fishing profits by fuel cost. For a time series analysis, this study conducted both the unit-root test for stability of data and the Johansen cointegration test for long-term equilibrium relations among variables. In addition, it used not only the Granger causality test to examine interactions among variables, but also the Vector Auto Regressive (VAR) model to estimate statistical impacts among variables used in the model. Results of this study are as follows. First, each data on variables was not found to be stationary from the ADF unit-root test and long-term equilibrium relations among variables were not found from a Johansen cointegration test. Second, the Granger causality test showed that the international oil prices would directly cause changes in skipjack tuna prices. Third, the VAR model indicated that the posterior t-2 period change of international oil price would have an statistically significant effect on changes of skipjack tuna prices. Finally, fishing profits from skipjack would be decreased by 0.06% if the fuel cost increases by 1%.

The purpose of this study is to assess the effects of outlook project for olive flounder, from the view point of price stabilization, market efficiency, and causality of the prices in different distribution channels. Analytical results show that the volatility of producer price of olive flounder has been significantly mitigated after the implementation of the outlook project. The market efficiency is estimated to be improved after implementing the outlook project although there is an inefficiency on price determination process in some producing regions. The causality test on the producer and wholesale price shows that producing stage leads the wholesale stage in forming the prices. It is found that Jeju leads the flounder price on the size of 500g and 2kg, while Wando leads the price of 1kg size. These estimation result as whole indicate that outlook project for olive flounder has accomplished the intended goals.

This study is to analyse the causality and volatility spillover between farming fish species in consumption replacement relation using flatfish(oliver flounder) and rockfish’s wholesale market price data from September 2006 to July 2015. For the analysis, VAR(5) model and bivariate asymmetric GARCH-BEKK model are employed. The empirical results of this study are summarized as follows: First, the price volatility of flatfish and rockfish is very large without the trend during the sample period. Second, the correlation coefficient between flatfish and rockfish wholesale markets has positive 0.1059 value. Third, causality relation is unidirectional from rockfish market to flatfish market. Fourth, conditional volatility spillover effect is unidirectional from rockfish market to flatfish market, but asymmetric volatility effect is bidirectional between flatfish and rockfish markets that implies the bad news arising from flatfish wholesale market impact on rockfish market’s volatility and the bad news arising from rockfish wholesale market impact on flatfish market’s volaltilty. Consequently, based on the thus results, the volatility spillover effect interacts and is bidirectional between flatfish and rockfish wholesale markets.

This study aims to analyze causalities among Hairtail prices by distribution channel using a vector autoregressive model. This study applies unit-root test for stability of data, uses Granger causality test to know interaction among Hairtail Prices by distribution channel, and employes the vector autoregressive model to estimate statistical impacts among t-2 period variables used in model. Analyzing results of this study are as follows. First, ADF, PP, and KPSS tests show that the change rate of Hairtail price by distribution channel differentiated by logarithm is stable. Second, a Granger causality test presents that the producer price of Hairtail leads the wholesale price and then the wholesale price leads the consumer price. Third, the vector autoregressive model suggests that the change rate of Hairtail producer price of t-2 period variables statistically, significantly impacts change rates of own, wholesale, and consumer prices at current period. Fourth, the impulse response analysis indicates that impulse responses of the structural shocks with a respectively distribution channel of the Hairtail prices are relatively more powerful in own distribution channel than in other distribution channels. Fifth, a forecast error variance decomposition of the Hairtail prices points out that the own price has relatively more powerful influence than other prices.

개인투자자들은 자신이 지지한 정당이 집권을 하였을 경우 경제상황이 좋아질 것이라는 기대감(expectation)을 갖게 된다. 이에 따라 개인투자자들은 지지한 정당이 집권하였을 때, 경제의 불확실성(uncertainty)이 줄어들고 주가도 상승할 것이라고 믿는 경향이 있다. 이러 한 개인투자자들은 실제로 주식투자 규모를 늘려가는 상황을 만들며, 소형주(small cap)를 비롯하여 가치주(value stocks), 경기민감주 등에 대한 투자규모를 늘리는 경우가 흔히 발생 하고 있다. 이와 같은 새로운 정부에 대한 기대감이 반영되면서 새로운 정부의 집권 초기에 이들 개인투자자들은 주식보유기간을 보다 길게 가져가려는 경향도 보인다. 반면에 개인투 자자들의 경우 자신이 지지하지 않는 집권정부가 들어섰을 때 경제의 불확실성(uncertainty) 이 증가한다고 판단하여 보유주식을 처분하려는 경향이 증대되고 있다. 한국의 경우 개인투 자자들의 투표성향이 체감 소득수준 및 집권정부별 경제정책에 따라 영향을 받을 수 있는 것으로 나타나 주가수익률 등의 움직임에 주목할 필요가 있다고 판단된다.

USA has distinct differences of economic policy by a ruling party. And, USA economy has mainly influenced on it of Korea. So, we examine whether a ruling party of Korea has different regime including rate of return in stock market. The Republican Party and Democratic Party have based on Milton Friedman and Keynes economy at each other's economic policy in the USA The Republican Party and Democratic Party have different interest level and excess return on equity, GDP growth rate, unemployment rate. Also, a ruling party of Korea has different regime and economic activity in this paper.

The purpose of this study is to explore the dynamic properties of causality and asymmetric price transmission in the distributional channel of the tomato market in Korea. Using the wholesale and retail price series of the tomato market, we obtain the following results. First, the price transmission mechanism reveals the causal relationship channeling from the wholesale price to the retail price. Second, we find an asymmetric price transmission from the analysis using the threshold partial adjustment model. The retail price responds strongly when the wholesale price increases. On the other hand, the retail price shows sluggish adjustment when the wholesale price decreases.

Algal blooming in 4 major rivers introduces substantial impacts to water front activity. Concentrations of algae are increasing at major points along the Geum River. Ecosystem food webs can be affected by algal blooming because blue-green algae release toxic materials. Even though there have been many studies on blue-green algae, its causality to environmental factors has not been completely determined yet. This study analyzed the exclusive correlation between various hydrometeorological, water quality, and hydrologic variables and the cell number of cyanobacteria to understand causality of blue-green algae in the Geum River. A prewhitening process was introduced to remove the autocorrelation structure and periodicity, which is useful to evaluate the effective relationship between two time series.