• 제목/요약/키워드: The ratio of expenditure

검색결과 228건 처리시간 0.029초

가구특성에 따른 소비지출행태 분석 (An Analysis of Consumer Expenditure Patterns according to Household Characteristics)

  • 박문수;정호근;고대영;이경희
    • 한국산학기술학회논문지
    • /
    • 제15권9호
    • /
    • pp.5564-5577
    • /
    • 2014
  • 본 연구에서는 Price-Scaling AIDS 모형을 바탕으로 가구별 특성의 차이가 소비지출 구조에 어떠한 영향을 미치는지를 통계청 "가계동향조사" 자료를 이용하여 추정하였다. 추정결과, 서비스 품목들의 소득탄력성은 비서비스 품목들의 소득탄력성에 비해 상대적으로 큰 것으로 나타나 향후 가구소득이 늘어날 경우 서비스 품목들에 대한 더 큰 수요 증가가 예상된다. 또한 품목별 가계의 소비지출행태는 연령별, 소득수준별로 상이한 모습을 띠고 있는 것으로 나타났다. 특히, 비서비스 품목에 대한 지출비중이 높은 전통적인 가계지출구조에서 보건, 교육, 통신 등과 같은 서비스품목에 대한 지출비중이 높은 구조로의 전환이 촉진되고 있음이 확인되었다. 이와 같이 서비스품목에 대한 수요 증가로 인한 가계소비지출 구조의 변화는 관련 서비스 시장의 확대와 더불어 서비스 산업의 성장 잠재력을 더욱 확대시키는 방향으로 작용할 수 있다. 따라서 이들 분야에 대한 잠재수요 및 성장가능성에 대한 정확한 파악과 더불어 해당 서비스 시장의 형성 및 확대와 관련한 공급측의 적절한 대응이 요구된다.

부패와 정부지출의 변동성 (Corruption and Government Expenditure Volatility)

  • 임응순;황진영;송인상
    • 한국산학기술학회논문지
    • /
    • 제12권1호
    • /
    • pp.188-194
    • /
    • 2011
  • 본 연구에서는 83개 국가 간 통계자료를 이용해 부패와 정부지출의 변동성 간의 관련성을 검토했다. 한 국가의 부패의 정도는 Kaufmann et al.(2008)에서 제공한 부패의 통제와 국제투명성기구에서 제공한 부패인식지수로 나타내며, 정부지출의 변동성은 1990~2005년 기간의 연도별 정부지출 변동률의 표준편차를 이용한다. 실증분석 결과한 국가의 부패의 통제와 부패인식지수(높은 수치일수록 투명함)는 정부지출의 변동성에 통계적으로 유의한 음(-)의 영향을 미치는 것으로 추정됐다. 그러나 한 국가의 부패의 정도를 부패인식지수로 나타낼 경우 그 추정계수의 통계적 유의성은 다소 감소했다. 이상의 결과는 유럽의 OECD 국가를 제외한 작은 수의 표본에 대해서도 여전히 성립했다. 그러므로 본 연구의 실증분석 결과는 부패한 국가의 정부관리 혹은 정치인은 경제운영과 관련된 규칙을 불규칙적으로 변동시켜 자신들의 영역을 강화시키려는 경향이 있기 때문에 정부지출의 변동성이 상대적으로 크게 나타날 가능성을 시사한다.

Economic Strategy: Correlation between Macro and Microeconomics on Income Inequality in Indonesia

  • SALIM, Agus;RUSTAM, Andi;HAERUDDIN, Haeruddin;ASRIATI, Asriati;PUTRA, Aditya Halim Perdana Kusuma
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제7권8호
    • /
    • pp.681-693
    • /
    • 2020
  • This study sees a critical gap in the previous body of research, which it seeks to fill; the disclosure of the unemployment ratio correlation has only been measured by the level of economic growth. This study is to add investment variables and government expenditure variables that objectively aim to measure the level of effectiveness in handling the unemployment ratio, which is then a measurement of the effectiveness of unemployment. Economic growth is measured by its impact on income inequality through empirical, conceptual relationships as a critical review and economic strategy for the future. The research uses secondary data on Indonesian macro and microeconomics since 2003-2018, then testing uses a quantitative approach to correlation, regression, and scatterplot. The results of this study show correlations between variables, and volatiles on the graphs show a similar trend. In other words, variables are bound together and support each other. The strategy of prioritizing the scale of government expenditure and investment to reach the target is the primary concern, so that the economic cycle can be optimal and equipped to face the possibility of an economic recession in the future. Many factors cause complex income inequality, though investment does not show a correlation to income inequality.

A Generalized Calorie Estimation Algorithm Using 3-Axis Accelerometer

  • Choi, Jee-Hyun;Lee, Jeong-Whan;Shin, Kun-Soo
    • 대한의용생체공학회:의공학회지
    • /
    • 제27권6호
    • /
    • pp.301-309
    • /
    • 2006
  • The main purpose of this study is to derive a regression equation that predicts the individual differences in activity energy expenditure (AEE) using accelerometer during different types of activity. Two subject groups were recruited separately in time: One is a homogeneous group of 94 healthy young adults with age ranged from $20\sim35$ yrs. The other subject group has a broad spectrum of physical characteristics in terms of age and fat ratio. 226 adolescents and adults of age ranged from $12\sim57$ yrs and fat ratio from $4.1\sim39.7%$ were in the second group. The wireless 3-axis accelerometers were developed and carefully fixed at the waist belt level. Simultaneously the total calorie expenditure was measured by gas analyzer. Each subject performed walking and running at speeds of 1.5, 3.0, 4.5, 6.0, 6.5, 7.5, and 8.5 km/hr. A generalized sensor-independent regression equation for AEE was derived. The regression equation was developed fur walking and running. The regression coefficients were predicted as functions of physical factors-age, gender, height, and weight with multivariable regression analysis. The generalized calorie estimation equation predicts AEE with correlation coefficient of 0.96 and the average accuracy of the accumulated calorie was $89.6{\pm}7.9%$.

국방비 성장패턴 분석을 통한 국방과학기술에 대한 안정적 투자 필요성 연구 (The Study on Needs of Guaranteed Funding for Defense Science & Technology through Defense Expenditure Pattern Analysis)

  • 배윤호;최석철;윤준환
    • 한국국방경영분석학회지
    • /
    • 제36권1호
    • /
    • pp.1-13
    • /
    • 2010
  • 국방비는 국가경쟁력에 바탕을 둔 국가 방위능력 확보를 위한 투자비로, 일정비율 이상의 연구개발예산을 포함한다. 그러므로 우리군이 추진하고 있는 첨단과학기술 기반의 미래 전장환경 구축, 무기체계 및 핵심기술 획득의 국방개혁 2020의 구현을 위한 연구개발예산의 안정적 확보가 필요하다. 특히 미래전에 대비한 국방과학기술 역량의 선진화는 우리군이 당면한 개혁과제로 지속적인 연구와 관심이 필요하다. 본 연구에서는 16개 주요 국가를 대상으로 국방비 성장패턴과 국방과학기술 수준의 비교분석을 통해 국방과학기술 발전을 위한 안정적인 예산확보의 필요성을 제시하였다.

가족기업의 가계재정상태와 기업재정상태 분석 (The Financial Status of Household and Business in the Family Business)

  • 김순미;홍성희
    • 대한가정학회지
    • /
    • 제38권7호
    • /
    • pp.13-26
    • /
    • 2000
  • The purpose of this study were to identify the financial status of the home based business, and to analyze the factors effected on it. The sample consisted of 713 self-employed from data of 1998 Korea Household Panel Study, and analyzed into Frequencies, Percentile, t-test, $\varkappa$$^2$-test, and Regression Analysis. The findings showed that the household income and expenditure level of female self-employed was higher than those of male self-employed. In case of financial status of business, male self-employed's net profit was higher than female's and the net profit to total sales ratio of male self-employed was greater than female's. The factors contributing to total expenditure to total income ratio were sex, educational level, future economic expectancy, residence and home ownership of self-employed, while the factor effect on total asset to total debt ratio was only total household income. The Variables of sex, educational level of self- employed, job type of home based business and the number of employees in home based business were associated with net profit to total sales ratio, age and educational level of serif-employed, and job type of home based business was related to total sales to the number of emploees ratio(labor productivity).

  • PDF

한국 도시근로자가계의 과소비와 영향변수-재정비율분석을 중심으로- (Overspending of Wage-earner Households in Korea -Application of Financial Analysis-)

  • 박명희
    • 대한가정학회지
    • /
    • 제34권5호
    • /
    • pp.209-222
    • /
    • 1996
  • The purpose of this study is to apply ratio analysis, which indicates the rate of income to total expenditure, to examine wage-earners' overspending in Korea. We use the Family Income and Expenditure Survey produced by National Statistical Office Republic of Korea and total sample size is 40,691 including households complete income reported. Through the t-test, among 17 expenditure categories, overspenders is likely to spend more on housing, apparel, medical, education, and leisure expenditures more than non-overspenders significantly. Interestingly, overspenders have more income, but less financial assets than non-overspenders. To analyze the effect of socio-demographic variables on overspending, ordinary least square is utilized. The results shows that the more educated, larger family size, and older consumer tend to overspend. The results of study are leaded into two aspects. First, overspending can be solved by consumer education with efficient financial management practice. Second, overspending may be not solved unless policies in various ways enhance the overall quality of living to lessen each household's budget constraints.

  • PDF

국립공원 이용객의 변동요인과 수요예측 모형설정 (The Variables Affecting the Fluctuation of Visitors and the Construction of Models of Demand Projection in National Park)

  • 정하광
    • 한국조경학회지
    • /
    • 제19권2호
    • /
    • pp.12-22
    • /
    • 1991
  • The purpose of this study is to identify demand and methods of projection, including to prove the variables affecting the fluctuation of visitors and to analyze the relationship between these variables in National Park. Statistical analysis method (Multiple Linear Regression Analysis, ANOVA, and Model diagnostics) was carried out by computer program SAS/pc. 13 variables (1. Total Population, 2. Per Capita PDI, 3. Employment Ratio of S.O.C. & others, 4. NO. of Passenger Car, 5. Length of Roads, 6. Leisure Expenditure of Farm Household, 7. Leisure Expenditure of Urban Household, 8. Price Index, 9. NO. of Bus, 10. Exchange on Dollars, 11. Export, 12. Import, and 13. Visitors in National Park) had been used to this study. The scope of time period is during the last 17 years (1970-1986). The results were as follows; 1) Participation depends only on the specific characteristics of the economic factors (Price Index and Leisure Expenditure of Urban Household). These factors are the importance factors directly affecting the participation of visitors. The statistical Model for projecting the visitors in National Parks is the function of "Visitors in National Parks (thousand)=14915+0.210311*Leisure Expenditure of Urband Household (won)-157.835619*Price Index(1985=100)" 2) The external factors affecting the participation depends upon the interelated features of availability and accessibility (NO. of Passenger Car, Length of Roads, and NO. of Bus) of recreation resources or sites, and the economic factors (Per Capita PDI, Export, and Import). These factors are the factors indirectly affecting the participation of visitors. 3) The participation depends on the specific characteristics of demographic factors (Total Population and Employment Ratio of S.O.C. & others). These factors are the factors indirectly affecting the participation of visitors. 4) The unexpected fluctuation of yearly visitors depends on oil shock or inflation (1971, 1973-1974, 1979-1980), promulgation of national emergency decrees (1971-1972, 1974-1975, 1979-1980), and national events (assassination of president Park's wife, Madame Yuk in 1974 and president Park I 1979).

  • PDF

투자등급과 투기등급의 결정요인 분석 (Determinants of Investment or Speculative Grades)

  • 김석진;정세진;임정대
    • 벤처창업연구
    • /
    • 제12권1호
    • /
    • pp.133-144
    • /
    • 2017
  • 본 연구는 1999년부터 2015년까지 상장기업을 대상으로, 순위프로빗 모형을 이용하여 신용등급 관련 이해관계자 중 하나인 기업의 관점에서 신용등급에 영향을 미치는 요인을 투자등급과 투기등급으로 구분하여 분석하였다. 투자등급의 경우 영업이익률, 매출액, 시장가/장부가, 배당지급, 자본적 지출 비율, 유형자산 비율이 양(+)의 계수를, 장 단기 부채비율, 베타, 고유위험이 음(-)의 계수를 보였다. 투기등급의 경우 배당지급, 유보이익률, 자본적 지출 비율이 양(+)의 계수를, 장 단기 부채비율과 연구개발비가 음(-)의 계수를 가졌다. 글로벌금융위기 이후 "신용정보의 이용 및 보호에 관한 법률"이 강화된 2009년 전 후를 기준으로 분석한 결과, 투자등급에서 자본적 지출 비율, 현금비율, 유형자산 비율이 2009년 이전에는 양(+)의 계수를 보였으나 2010년 이후에는 유의하지 않았다. 투기등급의 경우 2009년 이전에 단기부채보다 장기부채가 더 유의한 음(-)의 계수를 보였으나 2010년 이후에는 장기부채보다 단기부채가 더 유의한 음(-)의 계수를 보였다. 흥미롭게도 연구개발비가 2010년 이후 투자등급과 투기등급 모두 유의한 음(-)의 계수를 보였다. 이는 연구개발에 대한 투자가 기업의 성장기회를 높여 더 많은 현금흐름을 창출하며 이것이 신용등급을 상승시킬 것이라는 선행연구와 일치하지 않는다.

  • PDF

적자가계의 특성 및 경제구조 분석 (An Analysis on the Household Characteristics and Economic Status of Deficit Households)

  • 양세정
    • 가족자원경영과 정책
    • /
    • 제14권1호
    • /
    • pp.135-159
    • /
    • 2010
  • The purpose of the study was to investigate the characteristics and economic status of deficit households compared to surplus households. Data from The Household Income and Expenditure Survey 2005 by NSO and 50, 207 salary/wage earners' households were used for the analysis. The statistical methods used were GLM, logit, and cluster analyses. The analysis results showed that 25.3 percent of the households were deficit households. Approximately half of the lowest 20% income group were deficit households. Income deficit households earned 1, 273 thousand less than that of surplus households, whereas consumption of deficit households was 1, 006 thousand more than that of surplus households. The average propensity of consumption of deficit households was 142.1. According to the logit analysis, factors contributing to the probability of belonging to a deficit household included income level, household size, age and educational level, occupation, homeownership, car ownership, and wife's employment status. Deficit households were classified into 5 types: 1) health care expenditure-dominated group, 2) housing expenditure-dominated group, 3) education expenditure-dominated group, 4) money transfer-dominated group, and 5) overall-overconsumption group. The overall-overconsumption group was the largest group of all at 58.5%. It was found that for all five groups, the changes in household size, income group, home ownership, and occupation of the individual were variables that influenced the probability of belonging to a certain group.

  • PDF