scholarly journals Constraints to Women Involvement in Fish Production in Anambra State, Nigeria

2021 ◽  
Vol 25 (1) ◽  
pp. 75-84
Author(s):  
Daniel Chinomso Nmeregini ◽  
Gideon Chinedu Onuekwusi ◽  
Felix Chibueze Nzeakor
Keyword(s):  
Land Reform ◽  
Fish Farming ◽  
Sampling Procedure ◽  
Least Square ◽  
Fish Pond ◽  
Anambra State ◽  
Ordinary Least Square ◽  
Multi Stage ◽  
Ordinary Least Square Regression ◽  
Concrete Pond

The study analysed constraints to women involvement in fish farming and processing in Anambra State Nigeria. Multi-stage sampling  procedure was employed in selecting 90 women fish farmers. Data were analysed using percentage and mean as well as ordinary least  square regression. The study revealed that the women mostly used concrete pond (65.6%), the majority (70.0%) have between 1 and 3 ponds. Catfish was mainly cultured by the women (86.7%). The foremost constraints faced by the women in fish farming were  inadequate capital ( = 3.31), inadequate land for expansion ( = 3.27), and high cost of fish pond establishment ( = 3.23). The coefficient of inadequate capital (-1.503) was significant at 1%, while the coefficients of inadequate land for expansion (-1.286), pre-occupation with other household chores (1.245), dominance by spouses (1.601) and high cost of fish pond establishment (- 1.768) were significant at 5% significant level. Providing low interest loans to active and registered women fish farmers, revisiting and amending the 1999 land reform, encouraging women to form formidable cooperative societies, among others were recommended by the study. Key words: Concrete pond, women, fish farming

scholarly journals Factors influencing involvement of youth in poultry production in Abia State, Nigeria

2020 ◽  
Vol 24 (4) ◽  
pp. 161-170
Author(s):  
Daniel Chinomso Nmeregini ◽  
Gideon Chinedu Onuekwusi ◽  
Ndidiamaka Martha Ekweanya ◽  
Chinyere Sarah Elezue
Keyword(s):  
Regression Analysis ◽  
Sampling Procedure ◽  
Least Square ◽  
Poultry Production ◽  
Ordinary Least Square ◽  
Factors Influencing ◽  
Least Square Regression ◽  
Ordinary Least Square Regression ◽  
Multistage Sampling ◽  
The Cost

The study assessed the factors influencing the involvement of youths in poultry production in Abia State, Nigeria. Specifically, the study assessed the extent of youth’s involvement in poultry production; and ascertained the perceived factors that influence the involvement of youths in poultry production. Multistage sampling procedure was employed in selecting 120 young poultry farmers. Data collected were analyzed using percentage, and mean, as well as ordinary least square regression analysis. Results revealed that the youths in the study area participated moderately in poultry production and the foremost poultry production activities being participated by the youths included feeding ( x̄ = 2.81), packing and replacement of litters ( x̄ = 2.59), and vaccination/medication ( x̄ = 2.54). Moreover, the perceived factors influencing the youths’ involvement in poultry production were income ( = 3.69), cost of feed ( = 3.45), and availability of land ( x̄ = 3.33). The coefficients of age (0.013), membership to co-operative (0.042), years of experience (0.016), and extension contact (0.015) were positive and significantly influenced the involvement of the youths in poultry production. Enabling youths’ access to credits, subsidizing the cost of feed, and organizing training for the youths on poultry production were recommended. Keywords: Involvement, agripreneurship, poultry production, youths

Tacit knowledge transfer in coopetition

2017 ◽  
Vol 10 (4) ◽  
pp. 453-468 ◽  
Author(s):  
Amit Kumar ◽  
Swarup Kumar Dutta
Keyword(s):  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Least Square ◽  
Service Firms ◽  
Content Type ◽  
Ordinary Least Square ◽  
Tacit Knowledge Transfer ◽  
Potential Benefits ◽  
Ordinary Least Square Regression ◽  
Empirical Context

Purpose The purpose of this paper is to understand how firms affiliated to business groups (BGs) are able to improve their innovation capability (IC) when engaged in coopetition (collaboration between competing firms). This study aims to explore the relationship between coopetitive relationship strength (CRS), the extent of tacit knowledge transfer (TKT) and IC as well as examine the moderating effect of both BG affiliation and coopetitive experience. Design/methodology/approach The paper examines inter-firm relationships within the empirical context of Indian manufacturing and service firms, by adopting (ordinary least square) regression analysis to test the various hypotheses. The central thesis is that the TKT in coopetition constitutes an important driver to the IC. Findings The paper provides some evidence that inter-firm CRS influences the extent of TKT, and the extent of TKT affects firm IC. The results support that firms in coopetition gain more if their coopetitive partner has a BG affiliation. In absence of a BG affiliation of any of the coopetitive partners, the buildup of TKT reduces as CRS is increased. Research limitations/implications Additional large-sample of data may attempt to validate relationships. The study, however, did not consider all enablers that are critical for TKT. Despite these limitations, analysis provides important and novel perspectives. Practical implications The paper contributes to develop executives’ practices in understanding potential benefits of coopetitive relationship. The implications of this research are important for managers seeking understanding of the management of coopetition. Originality/value The paper makes a modest attempt to investigate the various scenarios of the presence or absence of the moderation of BGs and its impact on CRS in the buildup of TKT. This is the first attempt to link coopetition to the TKT in the BG literature. This study also contributes to our understanding of coopetition in a non-western context.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

scholarly journals THE ROLE OF HOUSEHOLD COMPOSITION IN EGG CONSUMPTION IN THE OBAFEMI AWOLOWO UNIVERSITY COMMUNITY

2021 ◽  
Vol 28 (1) ◽  
pp. 98-102
Author(s):  
A. B. AYANWALE ◽  
J. O. AJETOMOBI
Keyword(s):  
Demand Function ◽  
Household Composition ◽  
Least Square ◽  
Function Parameter ◽  
Parameter Estimates ◽  
Ordinary Least Square ◽  
Egg Consumption ◽  
Ordinary Least Square Regression ◽  
University Community

This paper exainîned the role of household composition in egg cunsumption in Obafemi Awolowo University Community. An Ordinary Least Square regression model was used to obtain at-home demand function parameter estimates for egg. Positive and signiflcant relationship was found between quantity of eggs consumed and both household size and the age of children. A 1% increase in each of the variables would cause a 4.68% and 5.71 % increase in egg consumption respectively. The need for education of the household on the importance of egg consumption and keeping an optimum family size was suggested based on the findings of the study.

scholarly journals THE EFFECT OF FINANCIAL EXPERTISE ON COMPENSATION AND BOARD OF DIRECTORS TURNOVER

2018 ◽  
Vol 2 (1) ◽  
pp. 51-64
Author(s):  
Danar Irianto ◽  
Nuranisa Anugerah
Keyword(s):  
Board Of Directors ◽  
Least Square ◽  
Graduate Degree ◽  
Board Size ◽  
Post Graduate ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Financial Expertise ◽  
Ordinary Least Square Regression ◽  
Financial Company

This research aims to explains association between financial expertise of directors to directors compensation and directors turnover of Indonesia non financial company in 2011-2012. Using ordinary least square regression we used four variables to define financial expertise of directors: age of the directors, tenure of the directors, the post-graduate degree (MBA), and the accounting certification (CPA). However, this study found no association financial expertise to compensation and directors turnover. We hope this study can contributes to financial expertise, compensation, and turnover literature. We also provide implications for companies in determining the compensation of directors based on financial expertise. Further research can be improve by add new variabel such as complexcity and board size.

scholarly journals A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient

2020 ◽  
Vol 51 (6) ◽  
pp. 1238-1260
Author(s):  
Shumin Liang ◽  
Richard Greene
Keyword(s):  
High Resolution ◽  
Empirical Formula ◽  
Least Square ◽  
Runoff Coefficient ◽  
Ordinary Least Square ◽  
Runoff Volume ◽  
Total Runoff ◽  
High Resolution Map ◽  
Runoff Depth ◽  
Ordinary Least Square Regression

Abstract This paper reviews 110 years of global runoff estimation. By employing the method of ordinary least square regression on a sample region's runoff coefficient, an empirical formula of a runoff coefficient is calculated for China. Based on this empirical formula applied with a high-resolution grid of precipitation, runoff is calculated resulting in an equally high-resolution map of global runoff using a geographic information system (GIS). The main results are (1) the global total runoff volume is 47,884 km3, (2) the average runoff depth is 359 mm, (3) the interior drainage region's runoff volume is 1,663 km3, and (4) the average runoff depth is 58.4 mm. The results are compared with the results of the existing literature on global runoff. This study emphasizes the importance of runoff and groundwater recharge in arid and semi-arid regions where the estimation value of runoff depth is significantly increased.

scholarly journals Examining the Decision to Opt In versus Opt Out of Section 107 of the JOBS Act of 2012: Determinants and Consequences

2019 ◽  
Vol 8 (2) ◽  
pp. 108
Author(s):  
Jason Bergner ◽  
Marcus R. Brooks ◽  
Binod Guragai
Keyword(s):  
Earnings Management ◽  
Transition Period ◽  
Accounting Standards ◽  
Financial Statements ◽  
Least Square ◽  
Ordinary Least Square ◽  
Big 4 ◽  
Opt Out ◽  
Ordinary Least Square Regression ◽  
Jobs Act

The Jumpstart Our Business Startups Act of 2012 (hereafter, JOBS Act) creates a new category of firms, referred to as “Emerging Growth Companies” (hereafter, EGCs). Section 107 of the JOBS Act, titled “Opt-In Right for EGCs,” gives EGCs the choice to take advantage of an extended transition period for complying with new or revised accounting standards. In other words, an EGC can choose to delay the adoption of new or revised accounting standards until those standards would otherwise apply to private companies. Using a logistic regression approach with hand-collected data, we examine the underlying firm characteristics associated with EGCs’ choice of opting in or out of the accounting standards exemption, as provided by Section 107 of the JOBS Act. Using additional ordinary least square regression analyses, we further examine whether the choice of opting in or out is associated with earnings management and financial statement restatement behavior. Our results suggest that EGC firms designated as “smaller reporting companies” are more likely to choose to delay the adoption of a new or revised accounting standard (i.e., opt in). Our findings also show that EGCs that employ Big 4 auditors are more likely to opt out. We further find that EGCs that choose to opt out are less likely to engage in earnings management behavior, proxied by the absolute value of abnormal accruals, and are less likely to restate their financial statements. Taken together, our findings suggest that EGCs that choose to opt out of Section 107 produce higher quality financial statements.

scholarly journals Determinants of Common Bean (Phaseolus Vulagris L.) Marketed Surplus Among Smallholder Farmers in Humbo and Damot Gale Woredas, Southern Ethiopia

2018 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Besufekad Belayneh ◽  
Tewodros Tefera ◽  
Thomas Lemma
Keyword(s):  
Common Bean ◽  
Smallholder Farmers ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Least Square ◽  
Primary Data ◽  
Southern Ethiopia ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
Multi Stage

This research was aimed to study the common bean (Phaseolus vulagris L.) marketed surplus among smallholder farmers in the Humbo and Damot Gale Woredas. A multi-stage sampling technique was used in order to determine the sample respondents. By using simple random sampling technique four sample Kebeles were selected. Cross sectional data were collected from 182 farm households who produced common bean in 2016 production season. Primary data were collected from sample households using structured questionnaire. Descriptive statistics and econometric model were employed to analyze the data. To identify determinants of marketed surplus of common bean, Ordinary Least Square (OLS) model was employed. The study suggest interventions such as intensification strategies which increase yields through proper management and use of inputs, rural infrastructure improvement increases the likelihood of market orientation and marketed surplus of common bean.

scholarly journals Bike-Sharing Systems in Poland

2019 ◽  
Vol 11 (9) ◽  
pp. 2458 ◽  
Author(s):  
Tomasz Bieliński ◽  
Agnieszka Kwapisz ◽  
Agnieszka Ważna
Keyword(s):  
Air Pollution ◽  
Least Square ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Bike Sharing ◽  
Higher Temperature ◽  
Mode Of Transportation ◽  
Per Capita ◽  
Ordinary Least Square Regression ◽  
Urban Characteristics

Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion. As there is little research exploring the performance of bicycle-sharing systems (BSS), many municipal authorities invest in their development without knowledge of their effectiveness. Therefore, the aim of this article is to identify factors that correlate with BSS performance. Data related to BSS and urban characteristics were collected for the 56 cities in Poland, which is the population of BSS systems in this country. The Ordinary Least Square regression model was used to estimate the model. Additionally, to support our findings, a survey of 3631 cyclists was conducted. Our main findings show that BSS performance was positively related to cities’ population, tourism, number of bike stations per capita, congestion, bicycle pathways’ length and higher temperature, and negatively related to precipitation. We have also found that one BSS operator was more effective compared to the others.

scholarly journals The Effective Way to Prevent Occupational Hazards on Tuberculosis Treatment

2020 ◽  
pp. 1-9
Author(s):  
Franklyn Chukwudi N. Mbaneme ◽  
Emmanuel C. Obiano ◽  
Ebelechukwudi Obianuju Mbaneme
Keyword(s):  
Health Care ◽  
Sampling Procedure ◽  
Control Measures ◽  
Occupational Hazards ◽  
Health Care Planning ◽  
Anambra State ◽  
Prevention Services ◽  
Tb Treatment ◽  
Multi Stage ◽  
And Control

Aim: The study aimed to monitor the effective ways to prevent the occupational hazards on tuberculosis (TB) treatment. Methods: Multi-stage sampling procedure was used for this study. Results: The findings of this study revealed that knowledge of occupational hazards of treatment and management of TB is not a new idea in Anambra state, however, majority of the respondents have low level knowledge of occupational hazards protection and prevention services available, particularly when it requires an improvement on the existing means of services. Conclusion: Preventive and control measures to reduce the risk of TB infection and protection of health care workers should be given highest priority in health care planning and development.

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