scholarly journals Effects of Socio-Economic Characteristics on the Profitability of Poultry Production among Poultry Farmers in Kaduna State

1970 ◽  
Vol 22 (1) ◽  
pp. 185-195
Author(s):  
R. Suleiman ◽  
A. M. Mahmud ◽  
Y.U. Oladimeji ◽  
T.O. Olanrewaju ◽  
O. A. Ojeleye
Keyword(s):  
Multiple Regression ◽  
Disease Incidence ◽  
Regression Result ◽  
Poultry Production ◽  
Gross Margin ◽  
Factors Affecting ◽  
Access To Credit ◽  
Independent Variables ◽  
Poultry Farmers ◽  
Level Of Significance

The study examined the effects of socio-economic characteristics on the profitability of poultry farmers in Kaduna State, Nigeria. Data were collected using questionnaire from 160 poultry farmers. One LGA each was randomly selected from the four agricultural zones in Kaduna State; Birnin-Gwari Zone, Maigana Zone, Lere Zone and Samaru-Kataf zone. The data collected were analyzed using descriptive statistics, multiple regression and gross margin models. Results revealed that the majority (71.3%) of the respondents were male, 58.7% were married, 47.5% were within the age of 31-40 years and 98% of the respondents were educated with different educational qualifications. The multiple regression result with R2of 0.658 indicated that 65.8% of the factors affecting profitability were accounted for by the independent variables. Farming experience and access to credit were found to be positive and statistically significant at 1% level of significance while household size had inverse relationship in poultry production profitability in the study area. The constraints faced by the farmers include high cost of feeds and vaccination, disease incidence, high mortality rate, lack of credit and low marketing. Recommendations made include provision of market for products, regulation of prices of inputs and provision of adequate extension services to the farmers in the study area.Keywords: Effects, poultry, production

scholarly journals Accessibility of Agroforestry Farmers to Credit Facilities on Poultry Egg Production in Oyo State, Nigeria

2019 ◽  
pp. 1-8
Author(s):  
A. F. Aderounmu ◽  
I. O. Oyewo
Keyword(s):  
Multiple Regression ◽  
Egg Production ◽  
Agroforestry System ◽  
Multiple Regression Model ◽  
Poor Quality ◽  
Regression Result ◽  
Poultry Production ◽  
Southwestern Nigeria ◽  
Access To Credit ◽  
Level Of Significance

Poultry egg production is an economically viable investment among Agroforestry farmers in Southwestern Nigeria but paucity of funds and high cost of inputs are major problems in their business operations. This study focused on the effects of accessibility and non-accessibility of Agroforestry farmers to credit on poultry egg production. Data were randomly collected from 120 poultry farmers with a structured questionnaire which comprised of 60 credit beneficiaries (CB) and 60 non-credit beneficiaries (NCB) Agroforestry farmers. The data were analyzed with mean, percentages, frequency distribution, logit and multiple regression analyses. The results of the analyses indicated that the mean age of the CB and NCB Agroforestry farmers were ±46 and ±56 years respectively. Majority of the farmers were married CB (77.4%) and NCB (81.0%). The logit regression analysis revealed that the age of the respondents had a positive relationship with access to credit at 5% level of significance. Multiple regression model for credit accessed farmers indicated that age, family size, drug quantity are positively related to output and are significant at 10% and 1% levels. Multiple regression result for NCB farmers shows that the quantity of drug used is positively related to the egg output at 1% level. The hypotheses tested show that there was a significant relationship between socio-economic characteristics and the egg production in the study area and; between the output of farmers who are credit beneficiaries and non-credit beneficiaries. The major constraints to poultry production in Agroforestry system were limited finances, high cost of inputs and poor quality of day old chicks. Accessibility to formal credit facilities has a key role to play in Agroforestry poultry farming. Individuals, Governments and NGOs should therefore facilitate empowerment of youths in poultry egg production.

scholarly journals Assessment of Factors Affecting Poultry (Broiler) Production in Imo State, Nigeria

2019 ◽  
pp. 1-6 ◽  
Author(s):  
M. N. Osuji
Keyword(s):  
Multiple Regression ◽  
Tertiary Education ◽  
Transportation Cost ◽  
Sampling Technique ◽  
Farm Size ◽  
Poultry Production ◽  
Factors Affecting ◽  
Imo State ◽  
Broiler Production ◽  
The Government

The study assessed the factors affecting poultry (broiler) production in Imo State, Nigeria. Multistage sampling technique was used in selecting the respondents. A total of eighty four (84) poultry producers were randomly selected with the aid of well-structured questionnaire. Data were analyzed using descriptive statistics and multiple regression models. The result shows that majority (59.5%) of the producers were male, mean age was 45 years, mean household size was 6 persons, 67.86% of the producers attended tertiary education, mean years of farming experience was 9.3 years. The multiple regression analysis showed that farm experience, drug costs, farm size and disease occurrence were statistically significant at 10% level of probability implying that these are the key factors affecting poultry production. The major constraints militating against poultry production were high feed cost, lack of fund, outbreak of disease and high transportation cost. The study recommended that the government should provide credit facilities to poultry producers to abate lack of fund and provision of appropriate vaccines in the study area.

scholarly journals Factors Affecting Psychological Stress in Healthcare Workers with and without Chronic Pain: A Cross-Sectional Study Using Multiple Regression Analysis

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 652 ◽  
Author(s):  
Yuta Sakamoto ◽  
Takeru Oka ◽  
Takashi Amari ◽  
Satoshi Shimo
Keyword(s):  
Chronic Pain ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Job Stress ◽  
Psychological Stress ◽  
Pain Catastrophizing ◽  
Psychological State ◽  
Factors Affecting ◽  
Independent Variables

Background and Objectives: Pain affects psychological stress and general health in the working population. However, the factors affecting psychological job stress related to chronic pain are unclear. This study aimed to clarify the structural differences among factors affecting psychological job stress in workers with chronic pain and those without pain. Materials and Methods: A stepwise multiple regression analysis revealed the differences in structure between the psychological stress of workers with chronic pain and those with no pain. Psychological job stress by the Brief Job Stress Questionnaire was used as the dependent variable, with psychological state (depression and anxiety), specifically that characteristic of chronic pain (pain catastrophizing); information on the nature of the pain (intensity and duration); and number of years of service as independent variables. Selected independent variables were evaluated for collinearity. Results: In the model with psychological stress as a dependent variable (chronic pain: r2 = 0.57, F = 41.7, p < 0.0001; no-pain: r2 = 0.63, F = 26.3, p < 0.0001), the difference between the experiences of workers with chronic pain and those with no pain was that chronic pain was associated with depression (Beta = 0.43, p < 0.0001) and no pain with anxiety (Beta = 0.34, p < 0.0001). In the model with chronic pain-related depression as a dependent variable (r2 = 0.62, F = 41.7, p < 0.0001), job-life satisfaction (Beta = −0.18, p = 0.0017) and magnification (a dimension of pain catastrophizing; Beta = 0.16, p < 0.0001) were significant. Conclusions: The results of this study suggest that the psychological characteristics of chronic pain, such as depression and magnification, should be considered when evaluating and intervening in the job stress of workers with chronic pain.

scholarly journals Analysis of Climate Change Perception on Poultry Production in Imo State, Nigeria

2019 ◽  
pp. 1-8
Author(s):  
M. N. Osuji
Keyword(s):  
Climate Change ◽  
Multiple Regression ◽  
Egg Production ◽  
Meat Production ◽  
Random Disturbance ◽  
Poultry Production ◽  
Imo State ◽  
Change Perception ◽  
Climate Change Perception ◽  
Poultry Farmers

This study aims at analyzing climate change perception of poultry production in Imo State, Nigeria. Data used for the study were obtained using a structured questionnaire from eighty-four (84) respondents who were randomly selected from twelve villages in the study area. Data were analyzed using descriptive statistics, multiple regression models and Likert scale. Findings revealed that the mean age of the respondents was 45 years, mean household size was 6 persons, 60% were male, mean years of experience was 9.1years, majority of them attended tertiary education. The multiple regression analysis showed that ambient temperature, humidity, rainfall distribution, mortality and feed unavailability were statistically significant at 10% level of probability and were the key determinants of the effect of climate change. The coefficient of multiple determination R2 was 0.725544 which implies that 72.55% variation in poultry output was accounted for by the regressors variables while the remaining 27.5% was due to random disturbance. From the distribution of poultry farmers according to the perception of climate change, the result showed that 89% and 74% of the poultry farmers were aware that climate change has an effect on egg and meat production, and also feed grain availability respectively. About 90% of them were aware that high sunshine harms egg production, also, 74% and 71% of them were aware that high temperature and low rainfall leads to low egg quality. The study, therefore, recommended that relevant and up-to-date information on climate change should be made available to poultry farmers.

scholarly journals Factors Affecting Fire Loss—Multiple Regression Models with Extreme Values

1975 ◽  
Vol 8 (2) ◽  
pp. 229-241 ◽  
Author(s):  
G. Ramachandran
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Extreme Values ◽  
Preliminary Investigation ◽  
Fire Loss ◽  
Factors Affecting ◽  
Independent Variables ◽  
The United Kingdom ◽  
Multiple Regression Models ◽  
Residual Errors

SummaryIn his paper to the Tenth ASTIN Colloquium the author presented generalised extreme value techniques for making use of all large losses that are available for analysis and not merely the largest. In this paper the problem of assessing the relative contributions of various factors to fire losses is investigated. A model concerned with multiple regression with extreme observations of given rank is developed. It takes into consideration the biases due to the use of extremes and the differences between categories of risks in regard to the frequency of fires (or claims). By way of illustration the model was applied to the largest and second largest losses in the textile industries in the United Kingdom during the six-year period 1965 to 1970. The presence or absence of sprinklers, whether the buildings were single-storey or multi-storey, and total floor area were the independent variables included in this preliminary investigation. Judged from extreme losses sprinklers appear to reduce considerably the expected damage in all fires.The technique enables different estimates to be obtained for each regression parameter for different ranks. It is desirable to have a single overall estimate for each parameter; and for this purpose a second model is developed for performing a regression analysis combining observations pertaining to a number of ranks. Covariances of the residual errors are also taken into account in this model.

scholarly journals Factors Affecting Students’ Decisions Choosing SMA Maitreyawira Batam

2017 ◽  
Vol 3 (2) ◽  
pp. 172
Author(s):  
Emi Lestari
Keyword(s):  
Quality Of Service ◽  
Regression Analysis ◽  
Service Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Factors Affecting ◽  
Independent Variables ◽  
Independent Variable

<p>This study examines the quality of service that includes variable Reliability, Responsiveness, Assurance, Empathy and Evidence Direct (Tangible) partially and simultaneously affect the decision of students to choose SMA Maitreyawira Batam. The method of multiple regression analysis used by the researcher is to know and examine how big influence of independent variable which numbers two or more. Multiple regression analysis is used to know the influence of independent variables on dependent variable. The number of samples of this research is 110 students of SMA Maitreyawira Batam. The result of the research shows that there is significant influence of service quality with variable of reliability, responsiveness, assurance, empathy and tangible to student decision to choose SMA Maitreyawira Batam.</p>

scholarly journals Factors Affecting University Selection: Empirical Evidence from Hyderabad, Pakistan

2019 ◽  
Vol 2 (2) ◽  
pp. 1-4
Author(s):  
Ikram Uddin ◽  
Hafsah Amjad ◽  
Rawah Memon ◽  
Zohaib Pujwani ◽  
Usman Rahar
Keyword(s):  
University Students ◽  
Empirical Evidence ◽  
Multiple Regression ◽  
Likert Scale ◽  
Institutional Characteristics ◽  
Factors Affecting ◽  
Independent Variables ◽  
University Selection ◽  
The University ◽  
Practical Implications

Selection in Hyderabad, Pakistan. Method/Design: There are three independent variables selected, which are Financial Variable, Institutional Awareness and Institutional characteristics and the selected dependent variable is University selection. A 5 Likert scale adopted questionnaire was used as the instrument for the research. The data was gathered from a sample of 130 students and was analyzed by applying reliability (Cronbach’s Alpha) and Multiple regression in SPSS version 20. Findings: It was concluded from the findings of the research that Financial Variable and Institutional characteristics have a positive and significant impact on university selection. Whereas, Institutional Awareness was found to have negative and insignificant impact on university selection. Practical Implications: It is recommended that universities should consider these factors in order to increase the enrollment in their university. This will also improve the name and reputation of the university. Students should also consider these factors in order to select a proper university.

scholarly journals Analysis of Factors Affecting BPJS Patients Choosing a Class of Care to VIP Room

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Febrian Purwatiningrum
Keyword(s):  
Logistic Regression ◽  
Family Support ◽  
P Value ◽  
Regression Result ◽  
Statistic Analysis ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Independent Variables ◽  
Logistic Regression Result ◽  
Independent Variable

The increase of assurance participant, impact to increase inpatient at hospital. Some of participant choose to upgrade their treatman class, really if they don’t upgrade treatmen class they don’t need to pay more for their treatman. Purpose of this research are analysis factors that influence behaviour to upgrade class treatmen to VIP class at dr.Iskak hospital that include of perception, knowledge,income, and family support.This is a kuantitatif reseach with approch  cross sectional. The population was all  BPJS patient that treat at VIP dr. Iskak hospital Tulung Agung since 1st June until 31 of July 2018. Sample of research were some of BPJS patients that treated at  VIP class dr.Iskak hospital  Tulungagung = 182.The data collect by simple ramdom sampling. Independent variables are Perception, Income,Knowledge, Family Support. Dependent variable is Upgrade treatment class to VIP. Statistic analysis with logistic regression. Result of the research,  all of independent variable are simultanetaneously influence BPJS patient choosing to upgrade treatmen class to VIP class at dr.Iskak hospital Tulungagung p value=0,008. In partial, perception  p-value 0,956 ( >0,05 ), income p-value 0,001 ( <0,05 ), knowledge p-value 0,854 ( >0,05 ), family support  p-value 0,021   (< 0,05).In this research, income and family support are influencing BPJS patient to upgrade treatmen class. But perception and knowledge are not influencing. And the dominan factor  is income. Without good income, behaviour upgrade class treatmen not going to do

scholarly journals AN ANALYTICAL ASSESSMENT OF POULTRY INDUSTRY AND ADOPTION OF POTENTIAL VALUE ADDITION INTERVENTIONS IN BY-PRODUCT PROCESSING TO ENHANCE PROFITABILITY – IBADAN, OYO STATE, NIGERIA

2021 ◽  
Vol 21 (3) ◽  
pp. 185-198
Author(s):  
Taofeek Ayodeji Ayo-Bello ◽  
Osaige John Afodu ◽  
Tolulope Ogunleye ◽  
Lois Ndubuisi-Ogbonna ◽  
Jesubukunmi Omoniyi
Keyword(s):  
Value Chain ◽  
Organic Fertilizer ◽  
Sampling Technique ◽  
Regression Result ◽  
Gross Margin ◽  
Livestock Sector ◽  
Analytical Assessment ◽  
Level Of Significance ◽  
Margin Analysis ◽  
By Products

The need to diversify the Nigerian economy calls for value chain development of the agricultural and livestock sector. The main purpose of the study is to seek additional source of income for poultry producers through the processing of selected poultry by-products in the study area. A baseline study of poultry enterprises was carried out in Ibadan, Oyo State, Nigeria using a purposive sampling technique. A structured questionnaire was used in the collection of data and data collected was analyzed using descriptive statistics, gross margin analysis and Logit regression. The result showed and exhibited a gross margin ratio of 82.9% indicating profitability of enterprise. The regression result revealed that the adoption of poultry by-products processing was by different factors at different level of significance in organic fertilizer was influence. The study revealed that the respondents ranked high cost of machineries (25%) as the major problem encountered by them. It was recommended that awareness should be intensified on management poultry by-products; encouragement of Public-Private Partnership (PPP), towards the provision of adequate infrastructure need for commercialization of poultry by-products processing in Nigeria.

Faktor-faktor yang Mempengaruhi Belanja Modal pada Kabupaten atau Kota di Provinsi Sumatera Selatan

2018 ◽  
Vol 2 (1) ◽  
pp. 140
Author(s):  
Gogor Mustawa Zais
Keyword(s):  
Multiple Regression ◽  
Capital Expenditure ◽  
Independent Variables ◽  
The Impact

ABSTRACT The objective of this study was to find out and analyze the impact of regional own revenue (PAD), general allocation fund (DAU) and special allocation fund (DAK) on capital expenditure (BM)  in regencies/towns in South  Sumatera Province  for a period of 2010 to 2014. The data were analyzed by using multiple regression. There were four variables in this research. A dependent variable was capital expenditure (BM) and independent variables were regional own revenue (PAD), general allocation fund (DAU) and special allocation fund (DAK). The results showed that the regional own revenue and special allocation fund variables have positive and significant impact on the capital expenditure. This means that the higher the regional own revenue and special allocation fund, the regencies/towns increased the capital expenditure are also higher. General allocation fund do not have a significant effect on the capital expenditure (BM) in regencies/towns in South Sumatera Province for a period of 2010 to 2014

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