Influence of Credit on the Income of Households Borrowing from Banks: Evidence from Vietnam Bank for Agriculture and Rural Development, Kien Giang Province

Quang Vang DANG(Quang Vang DANG ),Viet Thanh Truc TRAN(Viet Thanh Truc TRAN ),Hieu PHAM(Hieu PHAM ),Van Nam MAI(Van Nam MAI ),Quoc Duy VUONG(Quoc Duy VUONG ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2

This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households’ income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.

The Microfinancing Village Household and Loan Return: Do Credit Source, Education, Land Assets, and Gender Matter?

Vange Mariet Ocasio 연세대학교 빈곤문제국제개발연구원 2023 Asian Development Perspectives (ADP) Vol.14 No.1

Disbursements of small-scale credit to poor entrepreneurial households in developing countries have become a popular tool for promoting self-sufficiency and alleviating poverty. The success of such programs, however, has been inconsistent across self-sufficiency and poverty measures. This study explores the effects of small-scale loans, household assets, and other household characteristics on household income. The study uses longitudinal survey data collected by the World Bank and the Bangladesh Institute of Development Studies from over 1,700 households in rural Bangladesh. The results suggest that microloans disbursed by microfinance institutions and other formal programs have a positive impact on income for borrowers. Loans received from relatives and other noninstitutional moneylenders, however, only benefit male borrowers. The findings document differential impacts by loan source, gender, education assets, and labor assets. Households that are resource poor in land assets and education, benefit the most from receiving small-scale credit. This study provides important policy insights. The results suggest that one-size-fits-all approaches to development finance may not be appropriate given that program outcomes can be sensitive to credit source, borrower’s gender, and other household characteristics. To address endogeneity issues in the data, the study relies on a quasi-experiment survey design to reduce bias in the estimates. A quasi-experiment imposes a cutoff criterion for eligibility to allow us to trace treatment group impacts. A panel data model was also used to further control for unobserved effects.

Neurochemical Properties of Dental Primary Afferent Neurons

Vang, Hue,Chung, Gehoon,Kim, Hyun Yeong,Park, Seok-Beom,Jung, Sung Jun,Kim, Joong-Soo,Oh, Seog Bae The Korean Society for Brain and Neural Science 2012 Experimental Neurobiology Vol.21 No.2

<P>The long belief that dental primary afferent (DPA) neurons are entirely composed of nociceptive neurons has been challenged by several anatomical and functional investigations. In order to characterize non-nociceptivepopulation among DPA neurons, retrograde transport fluorescent dye was placed in upper molars of rats and immunohistochemical detection of peripherin and neurofilament 200 in the labeled trigeminal ganglia was performed. As the results, majority ofDPA neurons were peripherin-expressing small-sized neurons, showing characteristic ofnociceptive C-fibers. However, 25.7% of DPA were stained with antibody against neurofilament 200, indicating significant portion of DPA neurons are related to large myelinated Aβ fibers. There were a small number of neurons thatexpressed both peripherin and neurofilament 200, suggestive of Aδ fibers. The possible transition of neurochemical properties by neuronal injury induced by retrograde labeling technique was ruled out by detection of minimal expression of neuronal injury marker, ATF-3. These results suggest that in addition to the large population of C-fiber-related nociceptive neurons, a subset of DPA neurons is myelinated large neurons, which is related to low-threshold mechanosensitive Aβ fibers. We suggest that these Aβ fiber-related neurons might play a role as mechanotransducers of fluid movement within dentinal tubules.</P>

A Novel Approach to Forecasting the Bulk Freight Market

Vangelis TSIOUMAS,Stratos PAPADIMITRIOU,Yiannis SMIRLIS,Shaher Zahran ZAHRAN 한국해운물류학회 2017 The Asian journal of shipping and Logistics Vol.33 No.1

The fast-paced and ever changing freight market compels maritime executives to use sound forecasting tools. This paper aims to enhance the forecasting accuracy of the Baltic Dry Index (BDI) by means of developing a multivariate Vector Autoregressive model with exogenous variables (VARX). The proposed model incorporates the Chinese steel production, the dry bulk fleet development and a new composite indicator, the Dry Bulk Economic Climate Index (DBECI). The predictive power of this approach is evaluated against a univariate ARIMA framework, which serves as a benchmark model. The selection of explanatory variables and the model specification are validated using a series of pertinent tests. The results demonstrate that the VARX model outperforms the ARIMA approach, suggesting that the selected independent variables can substantially improve the accuracy of BDI forecasts. The present study is of interest to maritime practitioners, as it provides useful insights into the direction of the freight market and allows them to make informed decisions.

Notes : MushBase: A Mushroom Information Database Application

Vang Quy Le,Hyun Sook Lee,Hyeon Su Ro The Korean Society of Mycology 2007 Mycobiology Vol.35 No.3

Health-related Quality of Life in Elderly Asian American and Non-Hispanic White Cancer Survivors

Vang Suzanne 대한예방의학회 2023 예방의학회지 Vol.56 No.5

Objectives: The purpose of this study was to assess predictors of health-related quality of life (HRQoL) in elderly Asian American and non-Hispanic White cancer survivors.Methods: We conducted cross-sectional secondary data analyses using the combined datasets from the Surveillance, Epidemiology, and End Results program and the Medicare Health Outcomes Survey.Results: Elderly Asian American cancer survivors reported a lower mental HRQoL but a comparable physical HRQoL relative to elderly non-Hispanic White cancer survivors. Stress factors, such as comorbidities, difficulties with activities of daily living, and a history of depressive symptoms, along with coping resources like self-rated health and the ability to take the survey in English, were significantly associated with mental and physical HRQoL. Among elderly Asian American cancer survivors, a significantly lower mental HRQoL was observed among those taking the survey in the Chinese language.Conclusions: The findings suggest that race exerts a differential impact on HRQoL. Interventions should be designed to address the distinct cultural, linguistic, and systemic needs of elderly Asian American cancer survivors. Such an approach could assist in reducing cancer-related health disparities.

Exploring Determinants of Employees' Adoption of Enterprise 2.0 Applications : A Case of Enterprise Social Network

Tao Vang,Young-Soo Chung,Chul-Ho Jung 한국정보기술응용학회 2010 한국정보기술응용학회학술대회 Vol.2010 No.1

Neurochemical Properties of Dental Primary Aff erent Neurons

Hue Vang,정지훈,김현영,박석범,정승준,김중수,오석배 한국뇌신경과학회 2012 Experimental Neurobiology Vol.21 No.2

The long belief that dental primary afferent (DPA) neurons are entirely composed of nociceptive neurons has been challenged by several anatomical and functional investigations. In order to characterize non-nociceptivepopulation among DPA neurons,retrograde transport fluorescent dye was placed in upper molars of rats and immunohistochemical detection of peripherin and neurofilament 200 in the labeled trigeminal ganglia was performed. As the results, majority ofDPA neurons were peripherinexpressing small-sized neurons, showing characteristic ofnociceptive C-fi bers. However, 25.7% of DPA were stained with antibody against neurofi lament 200, indicating signifi cant portion of DPA neurons are related to large myelinated Aβ fi bers. Th ere were a small number of neurons thatexpressed both peripherin and neurofilament 200, suggestive of Aδ fibers. The possible transition of neurochemical properties by neuronal injury induced by retrograde labeling technique was ruled out by detection of minimal expression of neuronal injury marker, ATF-3. These results suggest that in addition to the large population of C-fiber-related nociceptive neurons, a subset of DPA neurons is myelinated large neurons,which is related to low-threshold mechanosensitive Aβfi bers. We suggest that these Aβ fi ber-related neurons might play a role as mechanotransducers of fl uid movement within dentinal tubules.

An investigation of performance and emission characteristic of a small marine engine running on heated coconut oil and diesel oil

Van Vang Le,Anh Tuan Hoang,Xuan Duong Pham,Van Viet Pham 국제이네비해양경제학회 2018 International Journal of e-Navigation and Maritime Vol.9 No.1

In recent years, much interest has been devoted to bio-fuels because of their beneficial effects on environment, agriculture and economic development. Raw vegetable oil – a kind of bio-fuels, still exits many downsides, is potential renewable fuel replaced for ever-exhausted fossil fuel. In this report, vegetable oil which is available in the South of Vietnam such as raw coconut oil is studied by heating up different temperature with the aim at decreasing its high viscosity and density and meeting the fuel requirements. The experiments are conducted on heated coconut oil (HCO) and fossil diesel oil (DO) using an 80hp of small marine diesel engine. The results of engine performance as using DO and HCO included engine power (Ne), specific fuel consumption (SFC), thermal efficiency (TE), emission characteristics such as carbon monoxide (CO), unburned hydrocarbon (HC), smoke, nitrogen oxides (NOx) at internal feature are measured. The experiment results show higher SFC, CO, HC and smoke emissions, and lower TE, and NOx emissions for HCO with respect to DO. In addition, this study also reveals that, 1000C of HCO is said to be the most suitable heating temperature as getting the engine performance equals to DO.

Retrotransposon Microsatellite Amplified Polymorphism Strain Fingerprinting Markers Applicable to Various Mushroom Species

Quy Vang Le,Hyo Kyung Won,Tae Soo Lee,Chang Yun Lee,Hyun Sook Lee,Hyeon Su Ro The Korean Society of Mycology 2008 Mycobiology Vol.36 No.3

The retrotransposon marY1 is a gypsy family retroelement, which is detected ubiquitously within the fungal taxonomic groups in which mushrooms are included. To utilize marY1 as a molecular marker for the DNA fingerprinting of mushrooms, oligonucleotides marY1-LTR-L and marY1-LTR-R were designed on the basis of highly conserved regions from the multiple sequence alignment of 30 marY1 sequences retrieved from a nucleotide sequence database. In accordance with Retrotransposon Microsatellite Amplified Polymorphism (REMAP) fingerprinting methodology, the two oligonucleotides were utilized together with the short sequence repeat primers UBC807 and UBC818 for polymerase chain reaction using templates from different mushroom genomic DNAs. Among the tested oligonucleotides, the marY1-LTR-L and UBC807 primer set yielded the greatest amount of abundance and variation in terms of DNA band numbers and patterns. This method was successfully applied to 10 mushroom species, and the primer set successfully discriminated between different commercial mushroom cultivars of the same strains of 14 Pleurotus ostreatus and 16 P. eryngii. REMAP reproducibility was superior to other popular DNA fingerprinting methodologies including the random amplified polymorphic DNA method.