scholarly journals What Makes Farmers Exit Farming: A Case Study of Sindh Province, Pakistan

2020 ◽  
Vol 12 (8) ◽  
pp. 3160
Author(s):  
Muhammad Irshad Ahmad ◽  
Les Oxley ◽  
Hengyun Ma
Keyword(s):  
Natural Capital ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Factors Affecting ◽  
Farm Work ◽  
Exogenous Shocks ◽  
Transition Strategy ◽  
Working Age ◽  
Land Size ◽  
Livelihood Transition

In agriculture based economies like Pakistan, farmers often shift from farming to off-farm activities as part of an apparent livelihood transition strategy, despite the fact that most of the workforce depends upon farming. In this paper, we try to uncover insights into how livelihood assets, such as human capital, natural capital, economic capital, and locational characteristics, affect a household’s exit decision from on-farm to off-farm activities as a livelihood transition strategy in rural Pakistan. We analyzed data from 335 farming households from the second largest agricultural producing province in the country, Sindh. Our findings show that more than 19% of households have completely shifted from farming to off-farm activities. Furthermore, we identified that the ‘crop input credit’ is one of the major constraints to farmers converting their previous input-driven small loans into larger loans, where large markups may be imposed if they fail to pay when the harvest is made. The empirical findings from Binary Logistic Regression provide strong evidence for family labor characteristics, particularly for working-age males, working-age females, and working-age children. Surprisingly, the cultivated land size significantly and positively influences farm exit rather than a continuation of farming. Off-farm employment, exogenous shocks, and urbanization also significantly and positively influenced the decision to transition into off-farm work. In contrast, the age of the household head, livestock ownership, and distance to a commercial zone significantly inhibited the decision to exit farming. However, government assistance, including subsidies, strongly encouraged farmers to continue farming. These findings provide new insights into the factors affecting the drivers of both exit and continuation in the farming sector as part of a long-term livelihood transition strategy.

scholarly journals The Analysis of Factors Affecting Farmers to Take Out Agricultural Insurance: A Case Study of Altinekin District, Konya Province of Turkey

2021 ◽  
Vol 13 (4) ◽  
pp. 806-818
Author(s):  
Cennet Oguz ◽  
Siti Mustaqimatud Diyanah
Keyword(s):  
Binary Logistic Regression ◽  
Food Crop ◽  
Agricultural Insurance ◽  
Factors Affecting ◽  
Population Sampling ◽  
Agricultural Income ◽  
Negative Effect ◽  
The Government ◽  
Land Size

Abstract Agricultural insurance is one of the management risk tools. This research aimed to analyze the factors affecting food crop farmers’ agricultural insurance in the Altınekin District of Konya Province. To obtain data using a questionnaire by interviewing 66 food crop farms entreprises who did agricultural insurance in the previous year. The population sampling was calculated with a single-stage non-clustered probability sampling. Factors affecting farmers’ agricultural insurance were analyzed by Binary Logistic Regression. The results of the analysis of factors affecting farmers’ willingness to take out agricultural insurance were farmers age, education, land size, sources from which they receive information on agricultural insurance, and the amount of support paid by the state, the amount of debt, pure product and agricultural income. The sources from which they received information on agricultural insurance had negative effect. The other factors have a positive effect. Providing education and advertising about agricultural insurance to farmers can increase the willingness of farmers to take out agricultural insurance. Support in the form of assistance on agricultural insurance of the government is also needed.

scholarly journals Factors affecting poverty in rural Bangladesh: An analysis using multilevel modelling

2018 ◽  
Vol 16 (1) ◽  
pp. 123-130 ◽  
Author(s):  
Md Farouq Imam ◽  
Mohammad Amirul Islam ◽  
MJ Hossain
Keyword(s):  
Unobserved Heterogeneity ◽  
National Level ◽  
Household Head ◽  
Rural Poverty ◽  
Binary Logistic Regression ◽  
Multilevel Modelling ◽  
Policy Formulation ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Rural Bangladesh

Poverty is a multi-faced problem in the developing world and it is much more complex in rural settings. Hence, policy formulation based on national level studies sometimes fails to find remedies of rural poverty. Thus, the present study aims to identify the determinants of poverty in rural Bangladesh using the nationally representative Household Income and Expenditure Survey (HIES) 2010 data. The HIES follows a hierarchical structure hence, two-level random intercept binary logistic regression models were used to capture the unobserved heterogeneity between communities along with revealing important factors associated with poverty. The analyses found that 32% of the households were absolute poor and 19% were extremely poor in rural Bangladesh. The potential factors having significant association with poverty were found to be age and education of household head, division, household size, household types, number of dependents, per capita income, household own land, access to electricity, amount of cultivable land, engagement in livestock and farm forestry, household non-agricultural assets, number of male earner and number of female earner in the family. Significant community-level variations were observed in the analyses which emphasis the need for special attention on the poor performing communities. Specific policy recommendations have been suggested for the poverty alleviation of rural households in Bangladesh.J. Bangladesh Agril. Univ. 16(1): 123-130, April 2018

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.

The role of key online reviews in affecting online hotel booking: an empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Zhang ◽  
Pengkun Wu ◽  
Chong Wu
Keyword(s):  
Binary Logistic Regression ◽  
Online Reviews ◽  
Limited Attention ◽  
Content Type ◽  
Factors Affecting ◽  
Mediating Role ◽  
Antecedents And Consequences ◽  
Hotel Managers ◽  
Hotel Booking

Purpose The importance of online reviews on online hotel booking has been widely acknowledged. However, not all online reviews affect consumers equally. Compared with common online reviews, key online reviews (KORs) have a greater influence on consumers' decisions and online hotel booking. This study takes the first step to investigate the factors affecting the identification of KORs and the role of KORs in online hotel booking.Design/methodology/approach To test the research hypotheses, this study develops a crawler to obtain 551,600 online reviews of 650 hotels in ten representative large cities in China. This study first uses a binary logistic regression to identify KORs by combining review content quality and reviewer characteristics and then uses a log-regression model to investigate the role of KORs in online hotel booking.Findings This study mined the factors affecting the identification of KORs by analyzing review contents and reviewer characteristics. Our results revealed that KORs play a mediating role in the effects of review content and reviewer characteristics on online hotel booking.Originality/value This study focuses on KORs, which have received limited attention in research but are important to practitioners. Specifically, this study investigates the antecedents and consequences of KORs. Our results enable hotel managers to manage online reviews effectively, particularly KORs.

The value of having a first-tier football club in the municipality (even) when tangible benefits are absent

2019 ◽  
Vol 9 (3) ◽  
pp. 222-238
Author(s):  
Christian Gjersing Nielsen ◽  
Line Bjørnskov Pedersen ◽  
Rasmus K. Storm
Keyword(s):  
Contingent Valuation Method ◽  
Team Sports ◽  
Binary Logistic Regression ◽  
Economic Benefits ◽  
Content Type ◽  
Factors Affecting ◽  
Football Club ◽  
Sports Clubs ◽  
Public Subsidy ◽  
Professional Team Sports

Purpose The purpose of this paper is to examine citizens’ willingness to pay (WTP), in relation to having a professional first-tier football club in a medium-sized Danish municipality, when tangible economic benefits such as economic growth and/or inbound migration produced by these are absent. Design/methodology/approach Using the contingent valuation method on survey respondents, the study examines factors affecting WTP using binary logistic regression and interval regression and further extrapolates the WTP from the sample to the municipal population. Findings Citizens significantly value having a first-tier football club in their municipality even when tangible benefits are absent, although a large proportion of respondents stated to be against the municipality being financially involved in professional team sports clubs (PTSC). WTP is largely driven by interest in sports and the local football club. It is argued that the findings cannot be generalized across contexts. Research limitations/implications There can be circumstances where public subsidy of PTSCs is beneficial to economic welfare. However, authorities should be careful in their evaluation of whether to subsidize PTSCs. Originality/value The study expands on existing research by informing respondents about the lack of tangible benefits produced by PTSCs, hereby focusing on WTP on an informed basis.

scholarly journals Appraisal of Issues Influencing Soil-Steps Application for Sustainable Farmland Management in High-Potential District, Ethiopia

2018 ◽  
Vol 7 (3) ◽  
pp. 102
Author(s):  
Mehretie Belay
Keyword(s):  
Smallholder Farmers ◽  
Group Discussion ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Northwest Ethiopia ◽  
Study Data ◽  
High Potential ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Chi Square Test

Soil damage by moving water is a somber predicament on farmlands in highland Ethiopia. Sizeable number of trial in farmland preservation has been executed to handle the crisis during the last tens of years. However, the attempts have not been vibrant to trim-down the danger to an attractive extent. This paper evaluates factors contributing to application of soil-steps (bunds) as sustainable farmland management technology (SFLMT) by smallholder farmers in one of the high-potential districts of northwest Ethiopia named Dangila Woreda (District). Mixed method triangulation designs involving concurrent acquisition and interpretation of quantitative and qualitative data were used in the study. Data were acquired from randomly chosen 201 farming households during the harvest seasons of 2011 and 2012. Ordered questionnaire, participatory field observation, key informant interview and focus group discussion were mechanisms employed during the data acquisition. Descriptive statistics (means, standard deviations and percentiles), Chi-square test, t-test and the binary logistic regression model were used to analyze the quantitative data. The qualitative information was textually narrated to augment the quantitative results. Findings of the investigation confirm that age of the household head, the number of household members, slope of the farmland, the size of the farmland held, households’ participation in indigenous labour-sharing activities and the number of farm tools owned were significantly increasing the building of soil-steps as SFLMT in the study district. Involvement in off-farm activities and pest invasions were considerably hindering farmers from building soil-steps on their farmlands. The results in general indicated that households’ access to livelihood assets are key promoters for farmers’ implementation of soil-steps on their farmlands. Local resource preservation and improvement trials should thus ponder on convalescing farmers’ material endowments to improve their capability to use soil-steps as SFLMT in their farming activities.

scholarly journals Factors affecting the milk production of dairy cattle in northern rural areas of Bangladesh

2015 ◽  
Vol 4 (2) ◽  
pp. 41-45 ◽  
Author(s):  
MR Begum ◽  
M Anaruzzaman ◽  
MSI Khan ◽  
M Yousuf
Keyword(s):  
Body Weight ◽  
Dairy Cattle ◽  
Milk Production ◽  
Rural Areas ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Lactation Period ◽  
Cross Sectional ◽  
Age At First Calving ◽  
Factors Affecting

A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014

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.

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