본 논문에서는 우리나라 경제성장과 연구수행 주체별 공공 연구개발투자, 기업 연구개발투자, 대학 연구개발 투자 간의 장·단기 인과관계를 실증 분석하였다. 이를 위해 1976년부터 2020년 동안의 시계열 자료를 바탕으로 단위근 검정, 공적분 검정, 백터오차수정 모형(VECM)을 통한 인과성 검정을 실시하였다. 분석결과, 우리나라 경제성장과 공공 연구 개발투자, 기업 연구개발투자, 대학 연구개발투자 간에는 장기적으로 인과관계가 존재하는 장기균형관계가 있다는 것을 도출하였다. 그러나, 공공 연구개발투자가 경제성장에 단기적으로 영향을 미치는 데에 비해 기업 및 대학 연구개발투자는 경제성장에 단기적으로 영향을 미치지 않는 것으로 나타났다. 더불어, 경제성장 및 공공 연구개발투자, 기업 연구개발투자와 공공 연구개발투자, 대학 연구개발투자와 공공 연구개발투자 간에 단기적으로 양방향의 인과관계가 있는 것으로 도출되었다. 마지막으로 단기적으로 공공 연구개발에 인과관계가 있는 것은 GDP 경제성장이며, 대학의 연구개발에 단기적으로 인과관계가 있는 것은 공공 및 기업의 연구 개발투자인 것으로 나타났다. 이상의 연구를 통해서 공공 연구개발투자, 기업 연구개발투자, 대학 연구개발 투자와 경제성장 간에는 높은 상호 유기적인 관계가 존재한다는 것을 실증적으로 도출하였다. 향후 연구개발투자가 경제성장에 미치는 파급효과를 높이기 위해서는 대학과 기업의 연구개발투자가 상호 촉진되고, 기업의 연구개발투자가 공공 연구개발투자에 긍정적 영향을 미쳐 공공 연구개발투자가 향후 경제성장에 기여할 수 있도록 하는 정책개발이 필요할 것이다.

본 연구는 코로나19 팬데믹이 한국 소비자의 패션소비지출에 미친 영향을 파악하고자, 코로나19 전후 기간에 한국 가계의 패션소비지출의 변화를 살펴보고 세대와 소득수준에 따라 그 변화를 비교하였다. 연구문제의 검증을 위해 통 계청의 가계동향자료를 토대로 2018년부터 2021년까지 가구의 소득, 소비지출액, 소비지출 중 패션소비지출액을 추출 하였고, 추출된 자료로 소득대비 패션소비지출 비율, 지출대비 패션소비지출 비율이 계산되었다. 세대는 Z세대, M세 대, X세대, 베이비부머 세대, 사일런트 세대로 구분되었고, 소득수준은 가계소득 5분위를 기준으로 해당하는 소득분위 로 구분되었다. 연구 결과, 코로나19 이후 소득대비 패션소비지출 비율은 감소하였으며 소득분위에 따라 통계적으로 유의한 차이가 나타났다. 또한 가구의 지출대비 패션소비지출 비율은 코로나19 발생 이전과 이후 기간을 비교한 결과 유의한 차이가 있었으며, 세대에 따른 차이도 유의한 것으로 나타났다. 그러나 소득분위에 따른 차이는 없었다. 가구 총지출액 중 패션소비지출이 차지하는 비율은 패션소비가 차지하는 중요도를 의미하는 것으로, 코로나19 이후 소비영 역의 중요도가 변화하였음을 나타내며, 세대에 따른 중요도의 차이가 존재하였다. 본 연구의 결과는 팬데믹 상황과 같은 소비에 영향을 미치는 거시적 환경의 변화에 따라 향후 소비의 변화를 예측하는데 도움이 될 수 있을 것이다.

There has been growing attention on the well-being of people with disabilities. The purpose of this study was twofold: (1) to investigate the associations between individuals’ socio-demographic and psychological characteristics and clothing expenditure, and (2) to examine the moderated mediation effect of self-efficacy and acceptance of disability on the association between dependency on others and happiness among people with visual impairment. This study was based on secondary analysis of data from the second wave of the 6th Panel Survey of Employment for the Disabled collected by the Employment Development Institute. The results of this study showed that average monthly expenditure on clothing was positively associated with self-efficacy, happiness, and acceptance of disability, while being negatively associated with dependency on others. The results also confirmed that self-efficacy mediated the association between dependency on others and happiness. A conditional direct effect of dependency on others on happiness was found, in which negative associations were significant among people with visual impairment who had low and mean levels of acceptance of disability (but not high levels). In addition, there was a significant conditional indirect effect, in which the indirect and negative effect of dependency on others on happiness via self-efficacy was significant for those with low and average levels of acceptance of disability. These findings support the importance of enhancing the independence and acceptance of disability among people with visual impairment, which ultimately contributes to their happiness.

Efforts on the continued increase of local government's fiscal spending related to improving the residential environment are desirable to counter the declining phenomenon of urban decline. At the same time, however, it is also important to know how to operate limited finances more efficiently to improve the residential environment. This study aims to contribute to the rational allocation of fiscal expenditure and the creation of productive results for the improvement of the settlement environment. To this end, this study analyzed the efficiency of financial expenditure related to the improvement of the residential environment in 225 local governments nationwide. The relationship between financial expenditure and residential environmental performance was also measured and the CCR, BCC and SBM models were used to measure efficiency. The analysis showed that most local governments need to scale back their fiscal spending related to improving the government environment. In addition, it was required to prepare feasible spending plans by bench-marking the processes of residential environment improvement projects in areas such as Haman-gun, Jongno-gu, Seoul, and Seocho-gu, which are considered to be under efficient operation.

At the Bank of Korea, capital stock statistics were created by the PIM (perpetual inventory method) with fixed capital formation data. Asset classifications also included 2 categories in residential buildings, 4 non-residential buildings, 14 constructions, 9 transportation equipment, 28 machinery, and 2 intangible fixed assets. It is the Korean government accounting system which is developed much with the field of the national accounts including the valuation, but until 2008 it was consistent with single-entry bookkeeping. Many countries, including Korea, were single-entry bookkeeping, not double-entry bookkeeping which can be aggregated by government accounting standard account. There was no distinction in journaling between revenue and capital expenditure when it was consistent with single-entry bookkeeping. For example, we would like to appropriately divide the past budget accounts and the settlement accounts data that have been spent on dredging into capital expenditure and revenue expenditure. It, then, tries to add the capital expenditure calculated to FCF (fixed capital formation), because revenue expenditure is cost for maintenance etc. This could be a new direction, especially, in the estimation of capital stock by the perpetual inventory method for infrastructure (SOC, social overhead capital). It should also be noted that there are differences not only between capital and income expenditure but also by other factors. How long will this difference be covered by the difference between the ‘new series’ and ‘old series’ methodologies? In addition, there is no large difference between two series by the major asset classification level. If this is treated as a round-off error, this is a problem.

본 논문은 한국의 연구개발투자가 제조업구분에 따른 파급효과들을 산업연관분석을 이용하여 분석하고 있다. 연구 방법은 2010∼2014년 국내 산업연관표 상에서 연구개발투자 부문을 외생화하고, 경제협력개발기구(OECD)의 기술수준 분류표에 입각하여 기술수준별로 제조업을 분류하여 연구개발투자가 미치는 생산유발효과와 부가가치유발효과를 분석하였다. 분석결과, 연구개발투자의 기술수준별 제조업 구분에 따른 생산유발효과는 중고기술과 중저기술에 속한 제조업에서 높은 것으로 나타났으며, 부가가치유발효과 역시 중고기술 제조업에서 높은 것으로 나타났다. 반면 연구개발투자가 가장 많은 고기술제조업에서 생산유발효과와 부가가치유발효과가 상기 2부문보다 낮은 것으로 분석되었다. 이러한 결과들은 한국 제조업이 연구개발투자를 통해 기술수준의 제고를 달성하고 이를 산업구조의 고도화로 이어간다는 품질사다리론과 연계되지 않았음을 의미한다. 이러한 분석결과로부터 한국의 연구개발투자가 고기술제조업의 생산유발과 부가가치효과의 증대를 위해 구조조정이 필요하다는 시사점을 얻었다. 본 논문은 산업연관표의 구조적 특성으로 인해 연구개발투자의 시차를 고려하지 못한 한계를 안고 있다.

The full-fledged Japanese census of commerce was conducted in 2014 and its data were publisized recently. We have chased the census data since 1991 in order to explore the determinants of Japanese household expenditure on consumer goods specialty retailers. The purpose of this study is to add some new findings to our previous research. In this research we theoretically address, and empirically estimate, key factors that affect sales per household at three major lines of retail trade that include frequently purchased consumables (food and drink), less frequently bought non-durables (apparel, shoes and dry goods), and infrequently acquired durable goods (furniture). We examine Industrial Classifications 57-60: Dry Goods, Apparel and Apparel Accessory stores (largely clothing, shoe, linen and accessories); Food and Beverage stores (primarily grocery, liquor, and specialty food stores); and Furniture, Household Utensils, and Appliances. These three trade lines deal with the necessities and supplies of life; they consist of relatively small specialty retailers. In addition, they have been an important target of urban planning and retail distribution policy of cities in Japan. Our data, which is drawn from six successive Japanese retail trade censuses (1991, 1994, 1997, 2002, 2007, 2014) encompasses 790 cities in all 47 prefectures. It is notable that the Japanese babble economy ceased in 1991; since then it has experienced an extended period of low growth. Note also that data from the most recent census (2014) is not yet available. Our theoretical model argues that retail sales per household are determined by three fundamental factors: the Market Environment (which is beyond the control of retail managers), Intertype Competition (which is influenced, but not controlled, by managers in each line of trade), and the Marketing Mix in each line of trade (which is set by managers). The essence of our argument is that the Market Environment determines a base level of sales per household; Intertype Competition may raise or lower sales in our focal lines of trade; and, the Marketing Mix in each line of trade can augment sales by (a) doing an above average job of appealing to customers and (b) countering the negative impact of Intertype Competition. Based on our research framework, we conduct a three-stage, hierarchical multiple regression analysis in each line of trade. Within Market Environment we include nine variables in a first-stage regression model: average number of people per household, household growth rate, average home size in square meters, income per household, population ratio aged 65+, auto ownership per household, distance to the prefectural capital city, residential land prices, and daytime population ratio. We expect each of these independent variables (except for population ratio aged 65+) to increase retail sales per household – which is our dependent variable. For Intertype Competition we use General Merchandise Stores (largely department stores and supercenters) that, in Japan, directly compete with Apparel, Food, and Furniture stores. In the second-stage regression model we include GMS sales per household along with the above nine Market Environment variables. GMS is anticipated to lower sales per household in Food stores, but is expected to raise sales per household in Apparel and Furniture stores as a spillover effect. For the Marketing Mix we measure four variables: assortment (proxied as square meters of selling space per store), service (employees per square meter of selling space), access (number of stores per land surface area of the city), and advertising (newspaper subscribers per household). These variables are included in the third-stage regression model along with the aforementioned ten independent variables; each of them should increase retail sales per household in its line of trade (e.g., the marketing mix for Food stores should only affect food sales per household). Thus, in of our analysis we show the results of eighteen regressions (i.e. the six census years and three lines of trade) . Our empirical research makes five contributions. First, we incorporate five independent variables that rarely (if ever) appear in studies of sales per household: out-shopping (daytime population ratio), home size, population ratio aged 65+, distance from the prefectural capital city, and residential land price. Second, we show the impact of intertype competition on sales in specific lines of retail trade. Third, we investigate data from five censuses that span a sixteen year period; few previous studies have examined changes in retail structure over such a lengthy time span. Fourth, we examine consumer goods retailers – who are an important target of urban planning and retail distribution policies of Japanese cities. Fifth, Japan had three important characteristics during the time span we examine: it was the world’s second largest economy and it is a nation of gradually declining population. As such, it may be a harbinger of the future of retailing in other large, wealthy economies. Additionally, Japan has rarely been the focus of retail trade studies.

The purpose of this study suggests a personalized algorithm of physical activity energy expenditure prediction through comparison and analysis of individual physical activity. The research for a 3-axial accelerometer sensor has increased the role of physical activity in promoting health and preventing chronic disease has long been established. Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). A total of 10 participants(5 males and 5 females aged between 20 and 30 years). The activities protocol consisted of three types on treadmill; participants performed three treadmill activity at three speeds(3, 5, 8 km/h). These activities were repeated four weeks.

We examined household's food expenditures in this study. The empirical work outlined here used quarterly data from 2003 Q1 to 2010 Q3. All variables are in log form and were obtained from the Korea National Statistical Office. The food items included cereals, dairy products, fruits, meat, vegetables, and alcoholic beverages. We applied the ordinary least squares method to a model consisting of household income and seasonal dummies. This is because household expenditures are ordinarily a function of income and have seasonal characteristics. The household's food consumption patterns also reflect the prevailing social and environmental circumstances. This study showed that the income coefficients of cereals, meat, dairy products, and alcoholic beverages tend to increase in the long-run, whereas those of vegetables and fruits decreased. The results also revealed that consumption of alcoholic beverages and meat was greatly affected by household income fluctuations, whereas those of vegetables and dairy products were not sensitive to income. The impulse response functions indicated that expenditures not only increased slowly before peaking one to eight quarters after the income shock but declined very slowly to pre-shock levels. The response of dairy products at the twelfth step was three times as large as that of the first step.

The walker provides stability for walking for people whose lower extremities are disabled. It is important to measure and determine the appropriate height of a walker to conserve energy and to improve function. The purposes of this study were to examine effects of walker height and gait velocity on triceps, latissimus dorsi muscle activation, and energy expenditure index (EEI) during ambulation with a walker. Fifteen healthy subjects participated in this study. Each subject was assigned a walker with one of three heights (high, standard, lower height) and of two gait velocities (comfortable gait velocity or fast gait velocity). Electromyographic data were collected from triceps and latissimus dorsi, and EEI was determined from each condition. Two-way repeated analysis of variance (ANOVA) was used to determine the statistical significance. Post hoc comparison was performed with the Bonferroni test. The results of this study were summarized as follows: 1. There was a significant difference in the %MVIC of triceps among different walker height factors. Post hoc comparison revealed that %MVIC of dominant triceps brachii was more significantly increased in patients who used the higher walker than those who used the lower walker (p<.05). 2. There were significant differences in the %MVIC of the latissimus dorsi among different walker height factors and gait velocity factors. Post hoc comparison revealed that the %MVIC of dominant latissimus dorsi was also more significantly increased in patients who used the higher walker than those who used the lower walker (p<.05) and in those who used the faster gait velocity than those who used the slower gait velocity (p<.05). 3. There were significant differences in the EEI among different walker height factors and gait velocity factors. Post hoc comparison revealed that the EEI was significantly increased among those who used higher and lower walkers compared with the standard walker. The EEI was also more significantly increased among those who used the fast gait velocity than those who used the slower gait velocity (p<.05). It has been concluded that increased muscle activation in triceps and latissimus dorsi was required when the walker height increased and that more energy was exp ended when the gait velocity increased. Therefore, from the findings of this study, it is recommended that walker height be adjusted according to the purposes of gait training and that healthy subjects conserve energy when ambulating with standard walkers in a comfortable gait velocity.

In Indonesia, micro-, small- and medium-sized enterprises (MSMEs) are introduced to increase income by providing many easier jobs to improve economic growth. They have also been reported to be generally supportive of the local industry. The government policies on investment and expenditure have the ability to promote MSMEs and economic growth. Therefore, this research was conducted to analyze the theoretical background and empirical study to investigate government’s role to promote MSMEs growth in Indonesia. The secondary data after the 2008 global financial crisis recorded quarterly from 2009 to 2019 Q3 were analyzed using the Ordinary Least Square (OLS) regression model. The results showed government expenditure has a positive and significant contribution to small- and medium-sized enterprises, but the effect was not significant for micro-businesses. Meanwhile, the investment sector was discovered to have a positive and significant effect on MSMEs. The policy implications of the Indonesian government are expected to focus on its expenditure’s role as the most important factor for “social-economic protection of the community” through micro-enterprises, which are numerous and more attached to the real community economic-social life. Therefore, the existence of micro-businesses is very helpful for the lower classes despite their high vulnerability to crisis.

The effect of research and development (R&D) expenditure on firm output is an interesting topic, but hardly explored in developing countries due to the unavailability of data. This study investigates this topic in the context of Vietnam by utilizing a novel dataset of 343 firms listed on the Vietnam Stock Exchange in the 2010-2018 period. The effect of R&D expenditure is examined under the production function framework. In order to obtain the robustness of the quantitative results, we estimate the production function with two coherent techniques including the OLS and 2-SLS. An instrumental variable regression technique is adopted to avoid the endogeneity problem between R&D expenditure and other variables. In our empirical analysis, we find that R&D expenditure has a positive and significant impact on output growth. The finding is robust in both OLS and 2-SLS frameworks. Besides, the output elasticity to R&D expenditure of our result is much higher than the estimated elasticity of other countries. The results imply that a 1% increase in R&D expenditure in Vietnam will help to expand the output more than a 1% increase in R&D investment in other countries. The findings from our paper provide important implications for firm managers, investors, and policymakers in Vietnam.

Purpose - This research is aimed to investigate the impact of the Information and Communication Technology (hereinafter ICT) development index and ICT investment on Indonesian economic growth. Research design, data and methodology - The data used consist of ICT development index, government expenditure on ICT sector, and economic growth from 33 provinces in Indonesia from 2012 to 2015. Based on the Networked Readiness Index published by the World Economic Forum (WEF), Indonesia was ranked 80th among 142 countries in 2012 and had climbed 64th in 2014. This indicates that the businesses in Indonesia have adopted ICTs to increase productivity and expand their activities. Panel data regression analysis is performed to reveal the change of the impact over time in each of the provinces. Result - The ICT development index and government expenditure for ICT have a positive effect on the economic growth of all provinces, although the impact is different in each of the provinces. There is a digital gap between the provinces, especially the large digital gap occurring with DKI Jakarta. The provinces of Eastern Indonesia such as NTT and Papua are still relatively slow in development of ICT. Conclusions - ICT development index and allocation of local government expenditure for ICT have significant effect on economic growth. ICT development index has a bigger role in increasing economic growth.

Many authors have examined the impact of public spending on economic growth. This study uses ordinary least-squares technique to test the effect of state budget expenditure with two major components: development investment expenditure and recurrent expenditure on Vietnamese economy for the period 2000-2017. The empirical results show that the state budget expenditure of Vietnam has positive effect on the economy, however each main component has different impacts. Recurrent expenditure has significant positive impact on Vietnamese economy while there has no evidence to affirm the relationship between the development investment expenditure and the economic growth. Vietnamese government should restructure the state budget to enhance the positive effect on the economy. In the short run, Vietnam should not increase development investment expenditure due to low efficency in public investment. In the long run, it is necessary to economize recurrent expenditure to reserve a reasonable proportion of state budget for development investment expenditure to build infrastructure for developing the economy. The state budget expenditure should be restructured towards prioritizing recurrent expenditure on human and social relief, reducing public administration expenditure, allocating investment capital from the state budget for key and pervasive projects, avoiding spreading out investments as well as crowding out private investments.

본 연구의 주목적은 조양하 유역의 유출응집구조와 에너지소비 양상을 멱함수 법칙분포의틀 내에서 해석하는 것이다. 이를 위하여 GIS를 기반 으로 대상유역 내 지점별 배수면적과 함께 소류력 및 수류력을 정의하는 지형학적 인자를 추출하고 해당 인자들의 여누가 분포에 대한 도해적 해석과 함께 멱함수 법칙분포의 적합을 수행하였다. 주요한 결과로서 세 가지 지형학적 인자들의 여누가 분포는 세 개의 개별적인 거동특성 구간으로 구분할 수 있었다. 멱함수 법칙분포 확률밀도함수의 매개변수를 최우도법을 이용하여 추정해 본 결과 배수면적과 수류력은 대표적인 규모를 유한 하게 결정할 수 없는 규모 불변성 지형인자이지만 소류력은 유한한 규모를 갖는 규모 종속성 지형학적 인자로 판단할 수 있었다. 또한 소류력의 경우 제한된 범위 내에서만 복잡계 거동을 보여 멱함수 법칙분포를 따르지 않는 것으로 판단되었다. 최우도법을 적용하여 추정한 배수면적의 멱함수 법칙분포 지수는 선행연구에 비하여 큰 수치로서 해당 지수의 추정에 사용된 방법론의 차이에 기인하는 것임을 확인할 수 있었다. 또한 수류력의 멱함수 법칙분포 지수는 선행연구에 비하여 다소 작은 수치로서 대상유역의 규모에 따른 수로경사의 특성에 기인하는 것으로 판단되었다.