scholarly journals Factors Affecting the Adoption of Water Harvesting Technologies: A Case Study of Jordanian Arid Area

2016 ◽  
Vol 6 (1) ◽  
pp. 80 ◽  
Author(s):  
Samia Akroush ◽  
Boubaker Dehehibi ◽  
Bezaiet Dessalegn ◽  
Omamah Al-Hadidi ◽  
Malek Abo-Roman
Keyword(s):  
Land Tenure ◽  
Significant Relationship ◽  
Binary Logistic Regression ◽  
Water Harvesting ◽  
Binary Logistic Regression Model ◽  
Institutional Variables ◽  
Factors Affecting ◽  
Adoption And Diffusion ◽  
Farmer Education ◽  
Privately Owned

In this article, we investigate the determinants of farmers’ decisions to adopt water harvesting technologies (WHT) in the arid agricultural area of Jordan. In particular, we investigate the effect of different socio-demographic, economic, and institutional factors on the adoption of WHT. For doing so, we empirically apply a binary logistic regression model on a micro-dataset (59 farmers) in Jordanian Badia. Empirical findings indicate that there is no significant relationship between age and the probability of adoption of WHT. However, our findings show significantly positive relationships at 10% level for farmer education and experience which implies that farmers with higher education and experience level are more likely to adopt WHT. In contrast, it was found that labor and institutional variables such as credit services do not significantly influence adoption of WHT. Results also reveal a significant relationship between land tenure and adoption implying higher adoption rates on communal land as opposed to privately owned land. Based on our empirical results, this research will assist decision makers to prioritize the factors influencing adoption of WHT and provide insights for targeted dissemination, adoption, and diffusion of WHT in the Jordanian arid areas.

scholarly journals The Effects of Picking Up Primary School Pupils on Surrounding Street’s Traffic: A Case Study in Hanoi

2020 ◽  
Vol 14 (1) ◽  
pp. 237-250
Author(s):  
Dinh Hiep ◽  
Vu V. Huy ◽  
Teppei Kato ◽  
Aya Kojima ◽  
Hisashi Kubota
Keyword(s):  
Primary School ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Primary Schools ◽  
Traffic Accidents ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Almost All

Introduction: One of the significant characteristics of schools in Vietnam is that almost all parents send their children to school and/or pick up their children from school using private vehicles (motorcycles). The parents usually stop and park their vehicle on streets outside the school gates, which can lead to serious congestion and increases the likelihood of traffic accidents. Methods: The objective of this study is to find out factors affecting the picking up of pupils at primary school by evaluating the typical primary schools in Hanoi city. A binary logistic regression model was used to determine factors that influence the decision of picking up pupils and the waiting duration of parents. The behavior of motorcyclists during the process of picking up pupils at the primary school gate has been identified and analyzed in detail by the Kinovea software. Results and Discussion: The study showed that, on the way back home, almost all parents use motorbikes (89.15%) to pick up their children. During their waiting time (8.48 minutes in average), they made a lot of illegal parking actions on the street there by, causing a lot of “cognitive” errors and “crash” points surrounding in front of the primary school entrance gate. Risky picking-up behaviors were significantly observed, i.e. picking-up on opposite side of the school, making a U-turn, backing-up dangerously, parking on the middle of street, and parking on the street next to sidewalk). Conclusion: Based on the analyzed results, several traffic management measures have been suggested to enhance traffic safety and reduce traffic congestion in front of school gates. In addition, the results of the study will provide a useful reference for policymakers and authorities.

scholarly journals Factors influencing migration and settlement of pastoralists in Nairobi City, Kenya

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Walter Magero Wafula ◽  
Oliver Vivian Wasonga ◽  
Oscar Kipchirchir Koech ◽  
Staline Kibet
Keyword(s):  
Land Tenure ◽  
Binary Logistic Regression ◽  
Policy Formulation ◽  
Snowball Sampling ◽  
Binary Logistic Regression Model ◽  
Grazing Land ◽  
Pastoral System ◽  
Pastoral Production ◽  
Alternative Markets ◽  
The City

AbstractPastoralism is globally recognized as the backbone of the economy in the vast arid and semi-arid rangelands. Despite its enormous economic contribution, the system is facing a myriad of challenges, among them, land use and land tenure changes, resulting in diminished grazing land. Accompanying such changes is the conversion of traditional grazing lands into other uses such as settlements, with urbanization being one of the key drivers of pastoral system dynamics. Understanding such dynamics in the face of compounding factors such as frequent droughts linked to climate change is key in guiding policy formulation and interventions aimed at achieving a sustainable pastoral production system. This study investigated factors determining migration and settlement of pastoralists in Nairobi City of Kenya. Data was collected through a snowball sampling approach using semi-structured household questionnaires, focus group discussions (FGDs) and key informant interviews (KIIs) in five Sub-counties of Nairobi City County. A total of 144 household interviews, 6 FGDs and 16 KIIs were conducted to elucidate drivers of urban pastoralism, opportunities and challenges encountered by pastoralists in the city. A binary logistic regression model was used to analyse the determinants of their migration. Results show that search for pasture and water resources, and alternative markets especially during droughts, are the main reasons for pastoralists’ migration to the city. In addition, educated herders were found to be more likely to migrate to the city as they pursue wage employment. Whereas these findings revealed that migration to the city exposes pastoralists to diverse livelihood opportunities, they are equally faced by a number of challenges - mainly road accidents involving livestock, frequent land displacements to pave way for development of real estates, and livestock poisoning from sewage and garbage wastes. There is a need for policy and regulatory interventions to recognize pastoralism alongside other forms of urban farming and addressing challenges facing sustainable pastoral production.

scholarly journals Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

2020 ◽  
Vol 7 (3) ◽  
pp. 189
Author(s):  
Sondi Kuswaryan ◽  
Cecep Firmansyah ◽  
Muhammad Hasan Hadiana
Keyword(s):  
Regression Model ◽  
Poverty Alleviation ◽  
Binary Logistic Regression ◽  
Farm Labor ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Poor Households ◽  
Simple Regression Model ◽  
Poverty Status ◽  
Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat  membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

scholarly journals Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents

2018 ◽  
Vol 14 (4) ◽  
pp. 10-21
Author(s):  
Ahmet Tortum ◽  
Alireza Motamadnia
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Motor Vehicle ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Road Surface ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Surface Conditions

Abstract The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.

scholarly journals A simulated archival tagging programme for albacore (Thunnus alalunga) in the Northeast Atlantic, including an analysis of factors affecting tag recovery

2010 ◽  
Vol 67 (6) ◽  
pp. 1216-1221 ◽  
Author(s):  
Ronan Cosgrove ◽  
Igor Arregi ◽  
Deirdre Brophy ◽  
Haritz Arrizabalaga ◽  
Victoria Ortiz de Zarate ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Binary Logistic Regression ◽  
Fishing Gear ◽  
Optimal Conditions ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Northeast Atlantic ◽  
Archival Tags ◽  
Two Factors ◽  
Thunnus Alalunga

Abstract Cosgrove, R., Arregi, I., Brophy, D., Arrizabalaga, H., Ortiz de Zarate, V., and Griffin, N. 2010. A simulated archival tagging programme for albacore (Thunnus alalunga) in the Northeast Atlantic, including an analysis of factors affecting tag recovery. – ICES Journal of Marine Science, 67: 1216–1221. An archival tagging programme in the Northeast Atlantic would assist in testing the hypothesis that subpopulations of juvenile albacore exist within the region and provide important information on fish behaviour in relation to environmental variables. No information was available, however, on the ability of juvenile albacore to carry costly implanted archival tags, or on rates of tag recovery. A simulated archival tagging study on albacore using simulated or “dummy” archival tags was therefore carried out in the Bay of Biscay from 2005 to 2008. In all, 353 fish were tagged and released, and 9 fish (2.55%) were recaptured. A comprehensive ICCAT database of conventionally tagged fish in the Northeast Atlantic was also analysed to determine whether optimal conditions at the time of release could be identified and used to boost recovery rates in future tagging programmes. A binary logistic regression model using a response variable with two possible outcomes, recaptured or not recaptured, was developed, then tested on two datasets to deal with association between variables. Effort and fishing gear were significant in the first dataset, and length class and fishing gear in the second. The last two factors can be manipulated, and a recapture rate of >5% was predicted if derived optimal tagging conditions are followed in future tagging programmes.

scholarly journals Determinants of Participation in Contract Farming Among Smallholder Dairy Farmers: The Case of North Shewa Zone of Oromia National Regional State, Ethiopia

2020 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Mosisa Hirpesa ◽  
Belaineh Legesse ◽  
Jema Haji ◽  
Ketema Bekele
Keyword(s):  
Smallholder Farmers ◽  
Group Discussion ◽  
Binary Logistic Regression ◽  
Price Uncertainty ◽  
Contract Farming ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
The North ◽  
Regional State ◽  
Sex Perception

The study analyzed the determinants of participation in dairy contract farming using data collected from 424 (192 participants and 232 non-participants) randomly selected milk-producing farmers from three districts of the North Shewa Zone of Oromia Regional State, Ethiopia. The study combines both quantitative and qualitative data obtained from household interview using semi structured questionnaire, key informant interview, focus group discussion, and direct personal observation. Descriptive statistics and econometric models were used to analyze data. The binary logistic regression model was employed to identify factors affecting participation in dairy contract farming. Results show that age, sex, perception of price uncertainty, frequency of extension contact and access to training significantly and positively affect participation in dairy contract farming while time taken to milk collection centers affected it significantly and negatively. Results suggest that the need to encourage young farmers, female-headed households, increasing frequency of extension contact, creating access for training, decentralization of milk collection centers and contract farming reduces perceived price uncertainty faced by smallholder farmers from the spot market through creating guaranteed milk price in the study area. 

Challenges and Prospects of ICT Use in Agricultural Marketing

2014 ◽  
Vol 4 (1) ◽  
pp. 41-60 ◽  
Author(s):  
Endalew Getnet ◽  
Adem Kedir ◽  
Jemal Yousuf
Keyword(s):  
Mobile Phone ◽  
Information And Communication Technologies ◽  
Information Seeking ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Agricultural Marketing ◽  
Mobile Phone Use ◽  
Factors Affecting ◽  
Ict Use ◽  
Electric Line

Up-to-date market information on prices for commodities, inputs and consumer trends can improve farmers' livelihoods substantially and have a dramatic impact on their negotiating positions. Information on new marketing opportunities and the market prices of farm inputs and outputs is fundamental to an efficient and productive agricultural economy. The main focus of this study was on Information and Communication Technologies (ICT) use on agricultural marketing. Use of ICT (mobile phone, radio and television) and factors affecting ICT use in agricultural marketing in Eastern Hararghe were the objectives of this study. Random sample of 210 producers were selected from six purposively selected kebeles from Haramaya, Kersa and Metta woredas based on their production potential. Descriptive statistics and binary logistic regression model were used for analyzing the data and 63.8% were ICT users while 36.2% were not. The model result indicated that age, year of education, information seeking behavior and participation in trainings were significant determinants of ICT use. Network availability in the area, construction of electric line and infrastructures, network coverage throughout the country, affordable cost of simcard with free air time were opportunities for mobile phone use. Construction of electric line and infrastructures, wide area coverage of the frequency were opportunities for radio and television use. Alternative power source (battery) and expansion of Frequency Modulation (FM) stations were other opportunities for radio use. Interruption of network and electricity, language problem, absence of organized source of information are some challenges to use ICT. Adult education and trainings are useful to promote the awareness of producers; establishing basic infrastructures and services including electricity is basic requirement for ICT utilization. For the effective use of ICT, local languages needs to be used and trainings about how to use ICT also need to be provided.

scholarly journals Factors influencing consumers’ light commercial vehicle purchase intention in a developing country

2015 ◽  
Vol 10 (2) ◽  
pp. 148-162
Author(s):  
Çelik Kemal ◽  
Oktay Erkan ◽  
Doğan Ebül Muhsin ◽  
Özhancı Ömer
Keyword(s):  
Developing Country ◽  
Purchase Intention ◽  
Commercial Vehicle ◽  
Binary Logistic Regression ◽  
Monthly Income ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Light Commercial Vehicle ◽  
Vehicle Demand ◽  
Vehicle Purchase

Abstract The main objective of this paper is to determine factors affecting the intention to purchase a light commercial vehicle that may be influential in a developing country. For this purpose, a self-administered survey was conducted on 408 people living in Erzurum city, North-Eastern Turkey. The data of the survey was analyzed using binary logistic regression model due to the discrete and categorical nature of the dependent variable. Results revealed that gender, age, monthly income, household size, type of driving license, type of fuel, a significant increase in the monthly income, and costs of having SRC-K licenses were significant determinants of consumers’ light commercial vehicle demand. Whilst consumers’ automotive demand has been extensively studied, little research has been concentrated on light commercial vehicle demand. In this respect, the outcome of this study may provide valuable insights for the existing consumer demand literature in terms of light commercial vehicle purchase intention

scholarly journals Prevalence and factors affecting the utilization of antenatal care in rural areas of Southwestern Ethiopia

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Assaye Belay ◽  
Tessema Astatkie ◽  
Solomon Abebaw ◽  
Bekele Gebreamanule ◽  
Wegayehu Enbeyle
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Rural Area ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Southwestern Ethiopia

Abstract Background Antenatal care (ANC) is a health care intervention intended to ensure the safety of pregnancy. According to the World Health Organization, at least four ANC visits are recommended for a healthy pregnancy. However, whether this recommended number of visits was followed or not in the rural areas of Southwestern Ethiopia is not known. Therefore, the study aimed to investigate the prevalence of, and the associated factors of ANC utilization by pregnant women in the rural areas of Southwestern Ethiopia. Methods A community-based cross-sectional study design was used in three rural zones. The data were collected from n = 978 women through a structured questionnaire with face-to-face interview. The collected data were analyzed using descriptive statistics and a multiple binary logistic regression model. Results The results showed that 56% of women made the recommended minimum number of ANC visits and the remaining 44% of them underutilized the ANC service. The multiple binary logistic regression model identified zone, marital status of the woman, educational level of the husband, occupation of the husband, knowledge of danger signs of pregnancy, birth interval, source of information, timely visits, and transportation problem to be statistically significant factors affecting the prevalence of ANC visit utilization of women. Bench Maji zone had smaller odds ratio of ANC visit prevalence as compared to Kaffa zone. Women who lived in the rural area of Sheko zone are 2.67 times less likely to utilize ANC visit than those who lived in the rural area of Kaffa zone keeping other variables constant. Conclusion The study results highlight the need to increase the number of ANC visits, and the importance of using an appropriate model to determine the important socio-demographic factors that ANC service providers shall focus on to improve the health of the unborn baby and the mother during pregnancy.

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