scholarly journals Assessment of socio-economic factors affecting the utilization of manual screw press for gari production in Kwara state, Nigeria

2019 ◽  
Vol 7 (1) ◽  
pp. 107-115
Author(s):  
Adegbola A. Jacob ◽  
Wegh F. Shagbaor ◽  
Ikwuba A. Agbanugo ◽  
Nwafor S. Chimela
Keyword(s):  
Sampling Technique ◽  
Screw Press ◽  
Policy Makers ◽  
Economic Determinants ◽  
Factors Affecting ◽  
Independent Variables ◽  
Socio Economic Variables ◽  
Level Of Experience ◽  
Structured Questionnaire ◽  
Socio Economic Factors

This study investigated socio-economic determinants of utilization of manual screw press for cassava mash dehydration for gari production in four local government areas across the ADP zones in Kwara state, Nigeria. Using random sampling technique and a semi-structured questionnaire as a research instrument, data for the study were collected from a sample of three hundred and eighty-four (384) gari processors who use the screw press in the state. Multiple regression analysis shows that a correlation (R=0.678) exist between utilization of the screw press and the independent variables which include age, household size, level of education, years of processing experience, extension visits, and income from gari processing. R2 value of 0.460 indicates that about 46% of the variation in utilization was explained by socio-economic variables included in the regression model. Three variables significantly influenced the decision of the respondents to utilize the manual screw press: age, level of experience, and income; the most important predicator being income with a Beta value of 0.699. Conclusively, it was recommended among others that research, extension, and policy makers consider the significant determinants identified in the study seriously if increased utilization is to be achieved by gari processors and others similar to them in the study area and the region.

scholarly journals KEPATUHAN WAJIB PAJAK MEMEDIASI DETERMINAN PENERIMAAN PAJAK PENGHASILAN

2017 ◽  
Vol 21 (2) ◽  
pp. 318
Author(s):  
Rachmawati Meita Oktaviani ◽  
Pancawati Hardiningsih ◽  
Ceacilia Srimindari
Keyword(s):  
Income Tax ◽  
Tax Compliance ◽  
Sampling Technique ◽  
Survey Method ◽  
Tax Revenue ◽  
Factors Affecting ◽  
Independent Variables ◽  
Tax Revenues ◽  
The Relationship ◽  
Income Tax Revenue

This study aims to examine and analyze the factors affecting income tax revenues with tax compliance as an intervening variable. The study consists of three independent variables that tax penalties, the service tax authorities, and awareness of the taxpayer. While this research is tied in income tax revenues and intervening variable is tax compliance.This study used purpose sampling technique and survey method with questionnaires in collecting data. Respondent were sampled in this study is an individual taxpayer who performs is 120 respondent in Semarang. Research data analysis using multiple analysis with the path analysis.The results showed that the variable tax penalties and service tax authorities an effect on tax compliance, awareness taxpayer has no effect on tax compliance, tax penalties, awareness of taxpayers and taxpayer compliance effect on income tax revenue, the service tax authorities had no effect on tax revenue income. Tax compliance successfully mediate the relationship between the variables of service tax authorities against income tax revenue. Tax compliance  not successfully mediate the relationship between the tax penalties and awareness taxpayer against income tax revenue.

scholarly journals Extent and financial cost of cassava postharvest loss along the cassava value chain in Kwara State, Nigeria

2019 ◽  
Vol 114 (2) ◽  
pp. 149
Author(s):  
Samuel Temitope DANILOLA ◽  
Raphael BABATUNDE ◽  
Jubril ANIMASHAUN
Keyword(s):  
Value Chain ◽  
Diversity Index ◽  
Economic Status ◽  
Analytical Techniques ◽  
Sampling Technique ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Postharvest Loss ◽  
Financial Implication ◽  
Structured Questionnaire

<p>Cassava has been identified as Africa’s second most important staple food after maize, in terms of calories consumed, with Nigeria as the World leading producer. This study estimated postharvest loss of cassava along the cassava value chain in Kwara State. It estimated the size of postharvest loss of cassava; analysed the factors responsible and the financial implications of loss; and identified the strategies employed in the mitigation of loss in the study area. A three-stage random sampling technique was used to select 117 cassava farmers whom were administered structured questionnaire to elicit data analysed by the study. Descriptive statistics, Shannon’s diversity index and Tobit regression model were the analytical techniques utilised. The results show that 68 % of the loss occurred at the harvesting. The loss was estimated to be about 3.8 t ha<sup>-1</sup>. The financial implication was valued at $ 300 ha<sup>-1</sup>. Analysis of the factors responsible for cassava postharvest loss showed that the quantity expected at harvesting, household size and age of the farmer were significant factors affecting cassava postharvest loss. The result also revealed that farmers mitigate these losses by processing the roots and reburying unused roots into the soil. Steps needed to reduce loss have to take these factors into consideration to improve the economic status of cassava farmers-processors.</p>

scholarly journals Profitability Analysis of Ginger Value Addition in Abia State, Nigeria

2020 ◽  
Vol 2 (2) ◽  
pp. 50-54
Author(s):  
Ndubuisi Chigozirim Onwusiribe ◽  
Chimarauche Peace Amanze ◽  
Chinwendu Oriaku
Keyword(s):  
Value Added ◽  
Sampling Technique ◽  
Value Addition ◽  
Factors Affecting ◽  
Profitability Analysis ◽  
Specific Factors ◽  
Cost Implications ◽  
The Cost ◽  
Structured Questionnaire ◽  
Value Added Products

This study analyzed the profitability of ginger value addition in Abia State, Nigeria. This study identified the ginger value-added products common in the area, the cost implications of the value addition process, and the socio-economic and farm-specific factors affecting ginger value addition. A stratified random sampling technique was used to select 60 (sixty) respondents and a well-structured questionnaire was used to collect the necessary data. The results revealed that the value ginger products were dried ginger, salted ginger, ginger flakes, ginger oil, and ginger paste. The factors affecting the profitability of ginger value addition from the linear regression model shows that education, income, capital, and collateral were significant. It is, therefore, recommended that youth and entrepreneurs should invest in ginger value addition as it is profitable and it is a sure way to economic empowerment and fight against hunger. 

scholarly journals Impact of Socioeconomic Inequalities on the Spread of COVID-19

2021 ◽  
Author(s):  
Alpay Arı ◽  
Hülya Özdemir ◽  
Fatmanur Kabadurmus ◽  
Selma Tosun ◽  
Durmuş Özdemir
Keyword(s):  
Public Transportation ◽  
Social Inequalities ◽  
Probit Model ◽  
University Education ◽  
Economic Factors ◽  
Economic Variables ◽  
Factors Affecting ◽  
Socio Economic Variables ◽  
Binary Probit ◽  
Socio Economic Factors

Abstract BackgroundTo examine the role of medical, economic and social inequalities affecting the prevalence of COVID-19 in Turkey. MethodsThis paper clarifies the medical and socio-economic factors affecting the prevalence of COVID-19 by using clinical and survey data in a binary probit model (BPM). Socio-economic factors affect the prevalence of COVID-19 to different degrees. Socio-economic variables are associated with risk of infection and can increase exposure to and mortality from COVID-19. ResultsThe factors that increase the probability that a person will get COVID-19 are gender (males have a 9.4% higher probability), income, household work status, interacting with a COVID-19 case (31.4% higher), using public transportation (6.97% higher), and visiting a hospital (35.7% higher probability for individuals who visited a hospital) or a mosque (15.1% higher). The factors that decrease the probability of testing positive are smoking (14.3% lower for smokers), being employed, having a university education compared to no education (24.7% lower), and wearing gloves (15.4% lower). ConclusionIn the case of Turkey, the estimations of the BPM show that economic and social variables are important factors for determining COVID-19 prevalence. Inequalities in socio-economic variables affect the prevalence to different degrees. Disparities in education and poverty are more important than being employed or being a smoker for the spread of COVID-19.

scholarly journals FACTORS AFFECTING THE PROFITABILITY LEVEL (STUDY ON BUKU 3 CONVENTIONAL COMMERCIAL BANKS REGISTERED WITH THE FINANCIAL SERVICES AUTHORITY)

2021 ◽  
Vol 2 (5) ◽  
pp. 751-765
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Services ◽  
Commercial Banks ◽  
Sampling Technique ◽  
Fixed Effect Model ◽  
Capital Adequacy ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Test Statistic ◽  
Factors Affecting ◽  
Independent Variables

This research aims to test the influence of Third-party Funds (DPK), Capital Adequacy Ratio (CAR), Operational Income Operating Costs (BOPO), Loan to Deposit Ratio (LDR), and Non-Performing Loan (NPL) on the Profitability (ROA) at Conventional Commercial Banks Books 3 which are listed on Financial Services Authority (OJK) 2014-2018 period. This research is using the purposive sampling technique to collect data population from financial reports Conventional Commercial Banks Books 3 which are listed on OJK 2014-2018 period with the number of samples used were 16 banks. The data were analyzed using panel data regression using the fixed effect model. Hypothesis testing uses F-test statistic, coefficient of determination test (), and t-test statistic. The results showed that simultaneously of the five independent variables studied, significant impact on ROA. And partially of the five independent variables studied, there are two independent variables that negative and significant influence on ROA namely BOPO and NPL. While three independent variables do not positive and do not significantly affect ROA namely DPK, CAR, and LDR. The Contribution of all independent variables is 89,7125% and the rest of the value 10,2875% can be explained by another variable outside this research model.

scholarly journals Job-Search behaviour of Omani Graduates: Sohar University - A Case study

2020 ◽  
Vol 1 (2) ◽  
pp. 24-32 ◽  
Author(s):  
Noura Al Jahwari ◽  
◽  
Maryam Alkhalidi ◽  
Sara AlBalushi ◽  
Ma'ather Al Ghanami ◽  
...  
Keyword(s):  
Job Search ◽  
Sampling Technique ◽  
Search Behaviour ◽  
Factors Affecting ◽  
The Government ◽  
The University ◽  
Clear Method ◽  
Practical Implications ◽  
Structured Questionnaire

Purpose of the study: The objectives of the study were to critically analyse and explore the factors affecting job-search behaviour and to analyse the effect of such factors on job-search behaviour. Design/Methodology: 145 samples were obtained using a well-structured questionnaire from the population of 677 graduated students from Sohar University, using convenience sampling technique and the data collected was analysed using Statistical Package for Social Sciences (SPSS). Findings: The results of the study revealed that most of the graduated students do not have a clear method to apply for a future job whereas they believe that the internet is the best way to find a job and the degree they possess will help them to find a job in the field of their expertise. It was also revealed that they were confident that they have gained sufficient knowledge and skills required from the university and they prefer to have a clear plan to find a job. Research Implications: It was suggested that the Government should create jobs based on skills and open channels to recruit skilled graduates. It was also suggested that the Higher Education Institutions (HEIs) should try to alter the curriculum and introduce professional/technical courses eliminating the gap between the HEIs and the labour market. Practical Implications: The study will help the colleges and the universities in conducting workshops and the related activities in engaging students towards increasing their skills. Originality: No study was carried out before to study the job-search behaviour of Omani students and this is a study of its own kind.

scholarly journals A Cross-Tabulation Analysis of Socio-Economic Determinants of Crime: Evidence from Women Jail Multan, Pakistan

2021 ◽  
Vol VI (I) ◽  
pp. 130-147
Author(s):  
Muhammad Ramzan Sheikh ◽  
Muhammad Tariq ◽  
Sana Sultan
Keyword(s):  
Random Sampling ◽  
Crime Rate ◽  
Sampling Method ◽  
Economic Factors ◽  
Economic Determinants ◽  
Female Prisoners ◽  
Explanatory Variables ◽  
Cross Tabulation ◽  
Socio Economic Variables ◽  
Socio Economic Factors

The crime rate in Pakistan has increased severely within the last decade. It may be because of high unemployment, increasing poverty, income, rising inflation and urbanized setups. Few noneconomic constraints are also responsible for it. The study has been made with reference to Women Jail Multan. The 70 female prisoners are selected via a random sampling method. The data are collected by interviewing them. The study has used the type of crime as the dependent variable. Purely crime-related variables and socio-economic factors of crime have been used as explanatory variables. Both purely crime-related variables and socio-economic variables have found effect size with the type of crime.

scholarly journals Predicting the Perception of SMEs on the Selection of Bank Decision in Pakistan: A Partial Least Square (PLS) Model

2021 ◽  
Vol 5 (1) ◽  
pp. 309-320
Author(s):  
Zafar Iqbal ◽  
Dr. Saima Batool ◽  
Dr. Muhammad Khalique ◽  
Dr. Mushtaq A. Sajid
Keyword(s):  
Quality Of Service ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Independent Variables ◽  
Selection Decision ◽  
Main Factors ◽  
Selection Of ◽  
Structured Questionnaire

The main objective of this study was to examine the main factors which may have influence on the bank selection decision in Pakistan. Quality of service, quality of service provider, interaction dimensions and relationship image recommendations experience were employed as independent variables while the bank selection decision SMEs was used as a dependent variable. The data were gathered through structured questionnaire survey. A total of 300 questionnaires were distributed to the targeted respondents while 223 were involved in the study. The respondents were selected through purposive sampling technique. Four research hypotheses were established. Smart Partial Least Square (PLS) 3 was used to test the proposed research hypotheses. The empirical findings of this study showed that the four research hypotheses were supported. This is the first study in Pakistan to address this issue.

scholarly journals The Major Driving Factors of Carbon Emissions in China and Their Relative Importance: An Application of the LASSO Model

2021 ◽  
Vol 9 ◽  
Author(s):  
Wai Yan Shum ◽  
Ning Ma ◽  
Xiaomei Lin ◽  
Tingting Han
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
The Other ◽  
Income Growth ◽  
Relative Importance ◽  
Policy Makers ◽  
Factors Affecting ◽  
Independent Variables ◽  
Policy Interventions ◽  
The World

China is one of the biggest energy consumers and carbon emitters in the world. Understanding the factors affecting carbon emissions is critical for policymakers to control the rising trend of carbon emissions. This paper investigates the relative importance of carbon emissions drivers in China. Literature review has been carried out to determine a set of predominant independent variables; the LASSO model is then introduced to rank the relative importance among the set of independent variables. The results find that 1) carbon emissions were mainly driven by economic growth and energy consumption followed by population size and industrialization; and 2) income growth slowed down carbon emissions during the studied period, but it is the least significant factor among the other factors. The ranking allows policy makers to focus on the most critical contributors to carbon emissions and gives policymakers more flexibility in determining policy interventions.

scholarly journals Determinants of job satisfaction amongst employees in the poultry sub-sector of Ghana: a test of equity theory

2020 ◽  
Vol 14 (3-4) ◽  
pp. 97-104
Author(s):  
Nicholas Oppong Mensah ◽  
Ernest Christlieb Christlieb Amrago ◽  
Jeffery Kofi Asare ◽  
Edward Yeboah ◽  
Anthony Donkor
Keyword(s):  
Job Satisfaction ◽  
Value Chain ◽  
Equity Theory ◽  
Sampling Technique ◽  
Factors Affecting ◽  
Poultry Workers ◽  
Jel Code ◽  
Multistage Sampling ◽  
Staple Crop ◽  
Structured Questionnaire

The study investigated the factors affecting job satisfaction amongst workers of the poultry sub-sector: a test of equity theory in the Dormaa Municipality in the Bono Region of Ghana. The multistage sampling technique was employed in collecting data from 100 poultry workers with the aid of a structured questionnaire. The logit model was employed in modeling the factors affecting job satisfaction. The empirical findings reveal that occupational level, pay, and relationships with co-workers were the statistically significant determinants of job satisfaction. Moreover, the study found that based on equity theory if poultry workers are satisfied with their pay, they would want to stay longer compared to referent others who are not satisfied. Benevolent poultry workers were dominant (52%), followed by equity sensitive (28%) and entitled (20%) poultry workers. Moving forward, the relevance of equity theory on workers in the cocoa value chain should also be investigated as cocoa remains a staple crop in Ghana. JEL Code: Q10

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