• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.227-234
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• 2022

The proportion of people living in poverty in Soc Trang is comparatively large. 27,154 households in this province are considered to be poor, which represents 8.4 percent of all households. The gap between rural and urban areas, between farmers and other social classes in this province, tends to increase, and the living standard of people in the countryside remains difficult. This paper aims to investigate the determinant factors of poor households' income in rural areas of Soc Trang province, Vietnam. Data from 120 poor households in Vinh Chau district and Ke Sach district of Soc Trang province collected in the year 2019 is employed to test the proposed hypotheses in this study. By applying the descriptive statistical method and ordinary least squares (OLS) regression, the results show that the factors of production land, number of income generation activities, access to credit, means of transportation, and means of production positively affect the income per capita of poor household in the study area, whereas household size has a negative impact on the household income per capita. Considering the empirical findings, several solutions and recommendations are proposed to improve the income of poor households in Soc Trang province.

• 유통과학연구
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• 제10권2호
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• pp.7-17
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• 2012

The aim of this study is to empirically explore micro and macroeconomic factors affecting the Pakistani sugar industries and searching the energy potential of this industry, through the survey of literature. The empirical part has been explored by employing Vector Autoregression (VAR), Granger Causality tests and simultaneous equation models through quarterly data for the period of 1991q2-2008q4. The study also aims to devise policies for the development of sugar industries and identify its growing importance for the energy sector of Pakistan. Empirical tests applied on the domestic prices of sugar, domestic interest rates, and exchange rate, productive capacities of sugar mills, per capita income, world sugar prices on cultivable area and sugar production reveal very useful results. Results reveal an improvement of productive capacity of the sugar mills of Pakistan on account of increasing crushing capacity of this sector. Negative effect of rising wholesale prices on the harvesting area was also observed. Profit earnings of the sugar mills significantly increase with the rise of sugar prices but the system does not exist for the farming community to share the rising prices of sugar. The models indicate positive and significant effect of local prices of sugar on its volume of import. Another of the findings of this study positively relates the local sugar markets with the international prices of sugar. Additionally, the causality tests results reveal exchange rate, harvesting area and overall output of sugarcane to have significant effects on the local prices of sugar. Similarly, import of sugar, interest rate, per capita consumption of sugar, per capita national income and the international prices of sugar also significantly affect currency exchange rate of Pakistani rupee in terms of US$. The study also finds sugar as an essential and basic necessity of the Pakistani consumers. That is why there are no significant income and price effects on the per capita consumption of sugar in Pakistan. All the empirical methods reiterate the relationship of variables. Economic policy makers are recommended to improve governance and management in the production, stock taking, internal and external trading and distribution of sugar in Pakistan using bumper crop policies. Macroeconomic variables such as interest rate, exchange rate per capita income and consumption are closely connected with the production and distribution of sugar in Pakistan. The cartelized role of the sugar industries should also be examined by further studies. There is need to further explore sugar sector of Pakistan with the perspective of energy generation through this sector; cartelized sugar markets in Pakistan and many more other dimensions of this sector. Exact appraisal of sugar industries for energy generation can be done appropriately by the experts from applied sciences.

• Journal of Preventive Medicine and Public Health
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• 제54권5호
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• pp.352-359
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• 2021

Objectives: The aim of this study was to examine the geographic distribution of diabetes mortality in Japan and identify socioeconomic factors affecting differences in municipality-specific diabetes mortality. Methods: Diabetes mortality data by year and municipality from 2013 to 2017 were extracted from Japanese Vital Statistics, and the socioeconomic characteristics of municipalities were obtained from government statistics. We calculated the standardized mortality ratio (SMR) of diabetes for each municipality using the empirical Bayes method and represented geographic differences in SMRs in a map of Japan. Multiple linear regression was conducted to identify the socioeconomic factors affecting differences in SMR. Statistically significant socioeconomic factors were further assessed by calculating the relative risk of mortality of quintiles of municipalities classified according to the degree of each socioeconomic factor using Poisson regression analysis. Results: The geographic distribution of diabetes mortality differed by gender. Of the municipality-specific socioeconomic factors, high rates of single-person households and unemployment and a high number of hospital beds were associated with a high SMR for men. High rates of fatherless households and blue-collar workers were associated with a high SMR for women, while high taxable income per-capita income and total population were associated with low SMR for women. Quintile analysis revealed a complex relationship between taxable income and mortality for women. The mortality risk of quintiles with the highest and lowest taxable per-capita income was significantly lower than that of the middle-income quintile. Conclusions: Socioeconomic factors of municipalities in Japan were found to affect geographic differences in diabetes mortality.

• 자원ㆍ환경경제연구
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• 제10권4호
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• pp.619-632
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• 2001

The purpose of this study is to test the Kuznets Hypothesis on the relationship between environmental pollution and economic growth by using the panel data. The major results of the study can be summarized threefold as follows. First, previous studies can pose the risk of spurious regression because of the nature of non-stationery of the data used. Second, the result of the co-integration test indicates that the emission of $CO_2$ and per capita income are co-integrated. Finally, according to the results of OLS and DOLS estimation, the turning point in this study is set in far higher level of per capita income compared with those in previous studies.

• 한국항공운항학회지
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• 제27권4호
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• pp.44-51
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• 2019

This study analyzes the trade patterns that occur between Korea and ASEAN countries through air transport, one of Korea's trade transport methods. In order to understand the detailed characteristics of the air transport sector, the dependent variables were analyzed by dividing them into amount and weight. As a result, the amount of exports, imports, and trade was proportional to GDP per capita representing income level, and inversely proportional to GDP representing national economic power. In terms of air transport weight, exports, imports and trade were all proportional to GDP representing economic power and inversely proportional to GDP per capita representing income levels. In addition, the national area acted as a factor to reduce the trade volume, and the number of airports and inland countries did not show any significant results.

• 한국의류학회지
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• 제25권4호
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• pp.773-782
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• 2001

This study was to investigate the value changes in Korean women by analyzing the ads of womens magazines. The contents of ads were classified into two types of values: general and consumption values. The general values, composed of inner-directedness and outer-directrdness, might predict consumer behavior in general. The consumption values, utilitarians and hedonic, were expected to affect the consumer purchasing attitude to a specific product. Factors affecting the cultural values were per capita income and womens social status. Total 2969 illustrated ads with verbal theme from 32 Korean womens magazines were used. The content analysis, chi-square test, logistic regression were done for the analysis. The results showed that inner-directedness was dominant general value in Korean womens culture and increased over time. Younger consumers were more inner-directed than older ones were, and inner-directed values increased with income growth. For the consumption values, utilitarian values were higher than hedonic ones and went up over time. For the product types, utilitarian ads were frequent in cosmetics while hedonic ads were high for apparels. Those results implied that Korean womens culture became more inner-directed with increased income. Also consumption values were likely to differ between product groups. Per capita income was shown to increase inner-directedness while womens social status was to increase outer-directedness.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.119-130
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• 2020

The study seeks to evaluate the impacts of three types of credit - formal, semi-formal, and informal credits - on the well-being of households in Vietnam's rural areas. Based on data from the Vietnam Household Living Standard Surveys in 2014 and 2016, the research uses the instrumental variable fixed-effect models to estimate the effects of three kinds of credit on household's per capita income and expenditure. There are some significant findings. First, in rural areas, formal credit is the most popular source with stable and cheap borrowing costs. Informal credit is a complement to formal credit to meet urgent needs. Funding agriculture activities is the most commonly cited purpose of borrowing, followed by purchasing assets. The highest misuse rate belongs to the group of loans for agriculture production. Second, the results show that credit helps smoothen consumption rather than generate income for rural households. Three types of credit have insignificant or negative effects on household's per capita income. Formal loans significantly improve total expenditure and spending on healthcare and education. Informal and semi-formal credits show a little influence on consumption. Informal loans have a significantly positive effect on healthcare expenditure. In contrast, having semi-formal loans tends to decrease spending on foods.

• 통상정보연구
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• 제16권4호
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• pp.151-167
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• 2014

본 논문은 무역개방의 확대와 해외직접투자로 인한 세계화의 확대가 한국의 소득분배에 미친 영향을 분석하였다. 따라서 본 연구는 소득분배의 불평등과 관련하여 중요한 결정요인이 무엇인가를 밝혀내기 위해 기존의 연구에서 중요한 결정요인으로 간주한 무역개방, 1인당 개인소득은 물론 FDI에 중점을 두었으며, 이를 국내 유입된 FDI와 해외로 유출된 FDI로 구분하여 모형을 분석하였다. 본 연구는 이를 위해 1992년부터 2011년까지의 매년의 시계열 자료를 가지고 단위근과 공적분 검정, 그리고 오차수정모형도 실행하여 분석하였다. 분석결과에 따르면, 무역개방과 1인당 GDP의 증가는 한국의 소득분배에 긍정적인 영향을 준 것으로 나타났다. 이는 수출의 증가로 인한 무역개방의 확대가 소득의 증가를 가져오는 동시에 소득분배의 형평성을 제고시켰다고 할 수 있다. 반면에 FDI의 경우를 보면, 국내로 유입된 해외직접투자와 해외로 유출된 FDI 모두 소득분배의 불평등을 야기한 것으로 나타났다. 결국 FDI 유입과 유출이 확대되는 경우 소득분배의 불평등이 더욱 증가하였음을 의미한다고 하겠다. 또한 분석결과, 국내로 유입된 FDI가 해외로 유출된 FDI보다 소득분배의 불평등에 더 부정적인 결과를 초래한 것으로 나타났다. 이 결과는 Freenstra and Hanson (2007)의 가설과 일맥상통하는 점이 있다. 따라서 정책입안자는 FDI 유입정책과 관련하여 좀 더 실용적인 정책을 마련하는 것이 필요하다고 할 수 있다.

• 국제지역연구
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• 제17권4호
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• pp.89-106
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• 2013

본 연구의 대상지역은 대한민국 16개 광역시도이며, 분석기간은 2000년부터 2009년의 제조업 10개년도 시계열 데이터를 이용하여 지역총생산(GRDP)에 큰 영향을 미치는 제조업의 노동생산성을 분석대상으로 설정하여 지역패널회귀분석을 이용한 절대적 및 조건부 수렴여부 및 제조업 생산성 결정요인을 분석 하였다.분석결과를 살펴보면, 절대적 수렴 및 조건부 수렴가설 모두 귀무가설(H0)를 기각함에 따라 수렴가설이 성립하고 있으며, 전국의 제조업 생산성은 수렴하고 있음을 확인할 수 있었다. 수렴속도를 살펴보면 절대적 수렴모형에서 수렴속도는 연간 4.4%가 나왔고, 조건부 수렴에서는 연간 0.73%인 것으로 나타났다. 또한 지역별 제조업의 생산성 결정요인에 대한 분석결과, 종속변수를 1인당 부가가치로 이용했을 때, 인적자본 변수와 제조업 입지계수변수가 정(+)의 관계로 나타났고, 1인당 정부지출 변수가 부(-)의 관계로 나타났다. 연구개발변수의 경우 지식재산권변수만 정(+)의 관계로 나타났다. 총요소생산성의 경우 1인당 정부지출과 1인당 고정자본형성변수가 정(+)의 관계로 유의하였으며, 연구개발변수는 통계적으로 유의하지 않는 것으로 나타났다.

• 보건행정학회지
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• 제21권4호
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• pp.617-642
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• 2011

The purpose of our study is to analyze the determinants of the benefits of the long-term care insurance in Korea using 2008 and 2009 cross-sectional data. Per capita long-term care insurance benefits can be divided into home care services utilization rate, institutional care services utilization rate, per capita home care services benefits, and per capita institutional care services benefits, which are used as the dependent variables in our regression analysis. Admission rate and the ratio of the admitted to the applicant also used as the dependent variables. The results of our analysis show that the explanatory variables such as income level, needs for care, family type, access to the services, and regional characteristics are statistically significant to explain the dependent variables, the long-term care insurance benefits. The higher is the regional income and the more of the female residents, the more are the long-term care insurance benefits. The easier is the access to the services, the more are the insurance benefits. In the rural area, the level of the insurance benefits is relatively high. We propose that copayment rates of the long-term care insurance should be examined and monitoring on the over-use of the services should be done. Also preventive services and care by the family member should be expanded.