scholarly journals Microcredit Accessibility in Rural Households: Evidence from Indonesia

2019 ◽  
Vol 65 (1) ◽  
pp. 67
Author(s):  
Danang Budi Santoso ◽  
Christopher Gan
Keyword(s):  
Logistic Regression ◽  
Interest Rates ◽  
Marital Status ◽  
Household Income ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Economic Welfare ◽  
Education Attainment ◽  
Factors Affecting

Extant literature suggests that microcredit may improve borrowers’ social and economic welfare. This study aimed to investigate the microcredit accessibility of rural households in Indonesia. Binary Logistic regression was used to distinguish the characteristics of microcredit borrowers and non-borrowers, and the factors affecting the approval of microcredit application. Primary data was collected through a survey on 488 rural households in Bantul, Yogyakarta. The empirical results suggested that age, marital status and education attainment significantly affect the characteristics of clients and non-clients of microcredit. The results also revealed that age of borrowers, household income, interest rates, and loan duration are key determinants affecting microcredit accessibility. The implications of the findings were provided.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Keputusan Migrasi Commuter di Kabupaten Demak

2018 ◽  
Vol 5 (4) ◽  
pp. 345-353
Author(s):  
Ahmad Shidiq
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Migration Decision ◽  
Significant Positive Effect ◽  
Rural Regions ◽  
Negative Effect ◽  
Positive Effect

Fenomena migrasi sangat mewarnai di beberapa negara berkembang, termasuk di berbagai daerah di Indonesia. Di Indonesia terutama banyak tenaga kerja yang berasal dari daerah pedesaan mengalir ke daerah perkotaan, Salah satunya dari Kabupaten Demak. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi keputusan migrasi commuter di Kecamatan Karangtengah Kabupaten Demak antara lain adalah pendapatan pendidikan, pekerjaan daerah asal, jumlah tanggungan serta status perkawinan. Dalam penelitian ini menggunakan data primer melalui instrumen kuesioner terhadap sampel yaitu sebanyak 89 responden, dan menggunakan data sekunder yaitu data dari instansi-instansi terkait serta literatur buku. Penelitian ini dilakukan di Kecamatan Karangtengah Kabupaten Demak. Analisi yang digunakan dalam penelitian ini adalah binary logistic regression. Hasil penelitian menunjukkan bahwa pendapatan berpengaruh negatif dan signifikan terhadap keputusan migrasi commuter, pendidikan berpengaruh positif dan tidak signifikan terhadap keputusan migrasi commuter, pekerjaan di daerah asal berpengaruh positif dan tidak signifikan terhadap keputusan migrasi commuter, jumlah tanggungan daerah asal berpengaruh negatif dan tidak signifikan terhadap keputusan migrasi commuter, status perkawinan berpengaruh positif dan signifikan terhadap keputusan migrasi commuter. The phenomenon of migration is very coloring in some developing countries , including in the various regions in Indonesia . In Indonesia especially many workers coming from rural regions flowed into the urban area, One of Demak District. This study aims to determine the factors that influence the decision of commuter migration in Sub Karangtengah Demak district include the earnings of education, employment areas of origin, number of dependents and marital status. In this research, using primary data through a questionnaire on the sample of 89 respondents, and using secondary data is data from relevant agencies and literature books. This research was conducted at Sub Karangtengah, Demak District. The analysis used in this study is a binary logistic regression. The results showed that the income a significant negative effect on the migration decision commuter, education has positive and not significant to the migration decision commuter, work in the area of origin has positive and not significant to the migration decision commuter, number of dependents homelands negative and not significant to decision commuter migration, marital status and significant positive effect on the decision commuter migration.

scholarly journals PENGARUH PROGRAM KELUARGA HARAPAN TERHADAP DISINSENTIF BEKERJA RUMAH TANGGA KELUARGA PENERIMA MANFAAT

2020 ◽  
Vol 5 (2) ◽  
pp. 118-132
Author(s):  
Syahna Salsabila ◽  
◽  
Evi Purwanti ◽  
Keyword(s):  
Logistic Regression ◽  
Analytical Method ◽  
Household Income ◽  
Binary Logistic Regression ◽  
Working Hours ◽  
Work Hours ◽  
Primary Data ◽  
Household Work ◽  
The Family ◽  
The Impact

The purpose of this study is to analyze the impact of PKH on Beneficiary Families (KPM) households work incentives that can be seen from the reduction in household hours worked. This type of data used is primary data obtained through an individual survei of 100 Beneficiary Families (KPM) in Bulakamba District, Brebes Regency. The analytical method used in this study is binary logistic regression. The results of the study on the overall of Beneficiary Families (KPM) household scopes showed that the variable proportion of PKH assistance, the proportion of household income significantly influence the reduction in the number of working hours of Beneficiary Families (KPM) households in Bulakamba District. The reduction in household working hours is concentrated or dominated by the decrease of wife's working hours. While the reduction in working hours of the head of the family does not have a big role in reducing household work hours. This shows that the wife's working hours are more responsive than the head of thefamily's working hours when there is a social assistance provided.

scholarly journals Factors Affecting the Household Income of Petty Traders During COVID-19 Pandemic in Dharan City

2021 ◽  
Vol 11 (1) ◽  
pp. 169-182
Author(s):  
Sita Kumari Khatiwada
Keyword(s):  
Marital Status ◽  
Significant Relationship ◽  
Household Income ◽  
Pearson Correlation ◽  
Primary Data ◽  
Survey Method ◽  
Factors Affecting ◽  
Significant Difference ◽  
The Family ◽  
The Government

Petty trading is such a type of economic activity operating abundance of the low-earning population in new urbanizing developing countries like Nepal. The main aim of this study is to explore factors affecting the household income of petty traders during the COVID-19 Pandemic in Dhahran city. This investigation had used descriptive analysis, and Pearson correlation test to identify the relationship between dependent and independent variables. There were 48 petty traders conveniently selected for the convenient sampling to collect primary data by survey method. The data were analyzed through descriptive statistics by using SPSS. It is found a significant relationship between daily household income and marital status of petty traders. But there was no significant relationship between the daily household income and the size of the family, investment of capital of the petty traders. Similarly, the above results of this study suggest that this study is helpful to the planners and policymakers in Dharan city to formulate suitable policy and manage the micro-business sector including petty traders. And the government should create programs that preserve and establish the economic rights of petty traders and reduce the various complications and taxes which they usually impose on them. The study concluded that there is a significant difference between the household income of petty traders and the marital status of petty traders. Moreover, it established that there was no relationship between the household income and the family size, the investment of capital, and the income before COVID 19 of petty traders.

Identifying the Factors Affecting the Probability of Accident Severity in Community Road - Focusing on Seoul City

2014 ◽  
Vol 641-642 ◽  
pp. 860-865
Author(s):  
You Jin Lim ◽  
Hak Ryong Moon ◽  
Won Pyoung Kang
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
Regression Technique ◽  
Road Accidents ◽  
Factors Affecting ◽  
Accident Severity

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. This study was attempted to identify factors affecting severity of the community road accidents. In particular, our analyses were focused on the community road accidents. A binary logistic regression technique was adopted for the analyses. The results showed that pedestrians of 65 years or older, cloudy, fence (sidewalk/driveway barrier), drivers of 24 years or younger, left/right turning, female pedestrian, non-business vehicle were dominant factors for the severity.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

scholarly journals Binary logistic regression to estimate household income efficiency. (south Darfur rural areas-Sudan)

2016 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Sofian A. A. Saad ◽  
Amin Adam ◽  
Afra H. Abdelateef
Keyword(s):  
Logistic Regression ◽  
Rural Areas ◽  
Household Income ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Statistical Technique ◽  
Household Expenditure ◽  
Response Variable ◽  
Explanatory Variables ◽  
Main Factors

<p>The main objective behind this study is to find out the main factors that affects the efficiency of household income in Darfur rejoin. The statistical technique of the binary logistic regression has been used to test if there is a significant effect of fife binary explanatory variables against the response variable (income efficiency); sample of size 136 household head is gathered from the relevant population. The outcomes of the study showed that; there is a significant effect of the level of household expenditure on the efficiency of income, beside the size of household also has significant effect on the response variable, the remaining explanatory variables showed no significant effects, those are (household head education level, size of household head own agricultural and numbers of students at school).</p>

scholarly journals Evaluation of Factors Influencing the Inclusion of Indigenous Plants for Food Security among Rural Households in the North West Province of South Africa

2020 ◽  
Vol 12 (22) ◽  
pp. 9562
Author(s):  
Abiodun Olusola Omotayo ◽  
Adeyemi Oladapo Aremu
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Food Security ◽  
Food System ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Indigenous Plants ◽  
North West ◽  
The North ◽  
North West Province

Underutilised indigenous plants can support and strengthen the existing food system, as they are considered as socio-economically and environmentally appropriate. These plants generally adapt to marginal conditions, which is essential for a resilient agriculture and sustainable food systems. The current study relied on food security and indigenous plants data collected from some selected rural households from the North West Province of South Africa. The utilised data were collected through a multi-stage sampling technique with the aid of a pre-tested semi-structured questionnaire, while descriptive methods Foster–Greer–Thorbecke (FGT) and binary logistic regression were used for data analysis. The models produced a good fit for the data, and the computed F-value was statistically significant (p < 0.01). The study examined socio-economic and food security status based on the knowledge and the perception of indigenous plants by the households. The incidence of food insecurity (θ0) was 0.4060, indicating that 40.6% of the participants were food insecure while 59.4% were food secured. Binary logistic regression results indicate that factors such as age, gender, educational attainment, inclusion of indigenous plants in diet, food expenditure, and access in the study area impacted results. It was also evident that the participants had considerable knowledge of indigenous plants. However, these indigenous plants were not cultivated or included in the diet by the majority of the participants. The formulation of appropriate holistic policies that support the incorporation of the indigenous plants into the food system is recommended.

scholarly journals Pengaruh Variabel Sosio-Demografis terhadap Mobilitas Ulang-Alik di Jabodetabek

2013 ◽  
Vol 13 (2) ◽  
pp. 159-176
Author(s):  
Rotua Yossina Warsida ◽  
Sri Moertiningsih Adioetomo ◽  
Elda Pardede
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Employment Status ◽  
Binary Logistic Regression ◽  
Demographic Variables ◽  
Formal Sector ◽  
Wage Employment ◽  
Wage Increases

This study aims to explain the effect of socio-demographic variables i.e. sex, wage, employment status, and marital status on commuting in Jabodetabek. The result of binary logistic regression using Sakernas 2012 shows that male are more likely to commute than female. Male in formal sector have the highest probability to commute while by marital status, unmarried male have the highest probability to commute. The level of wage is positively related with the probability to commute although at certain level of wage, an increase in wage increases probability to commute among male lower than probability to commute among female.AbstrakStudi ini bertujuan untuk melihat pengaruh variabel sosio-demografis yaitu jenis kelamin, upah, status kerja, dan status kawin terhadap peluang mobilitas ulang-alik di Jabodetabek. Hasil regresi logit biner menggunakan data Sakernas 2012 menunjukkan bahwa laki-laki lebih cenderung untuk ulang-alik dibandingkan dengan perempuan. Peluang ulang-alik paling tinggi menurut status kerja adalah pada pekerja laki-laki di sektor formal dan menurut status kawin adalah pada pekerja laki-laki belum kawin. Ditemukan hubungan positif antara kenaikan tingkat upah dengan ulang-alik walaupun pada tingkat tertentu, kenaikan peluang ulang-alik untuk laki-laki akibat kenaikan tingkat upah lebih kecil dibandingkan kenaikan peluang ulang-alik untuk perempuan.

Comparison between students and residents on determinants of willingness to separate waste and waste separation behaviour in Zhengzhou, China

2017 ◽  
Vol 35 (9) ◽  
pp. 949-957 ◽  
Author(s):  
Xiaoping Dai ◽  
Yuping Han ◽  
Xiaohong Zhang ◽  
Wei Hu ◽  
Liangji Huang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Undergraduate Students ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Management Policies ◽  
Waste Separation ◽  
Do So

A better understanding of willingness to separate waste and waste separation behaviour can aid the design and improvement of waste management policies. Based on the intercept questionnaire survey data of undergraduate students and residents in Zhengzhou City of China, this article compared factors affecting the willingness and behaviour of students and residents to participate in waste separation using two binary logistic regression models. Improvement opportunities for waste separation were also discussed. Binary logistic regression results indicate that knowledge of and attitude to waste separation and acceptance of waste education significantly affect the willingness of undergraduate students to separate waste, and demographic factors, such as gender, age, education level, and income, significantly affect the willingness of residents to do so. Presence of waste-specific bins and attitude to waste separation are drivers of waste separation behaviour for both students and residents. Improved education about waste separation and facilities are effective to stimulate waste separation, and charging on unsorted waste may be an effective way to improve it in Zhengzhou.

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