scholarly journals Localized Institutional Actors and Smallholder Irrigation Scheme Performance in Limpopo Province of South Africa

Agriculture ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 418
Author(s):  
Liboster Mwadzingeni ◽  
Raymond Mugandani ◽  
Paramu Mafongoya
Keyword(s):  
South Africa ◽  
Principal Component ◽  
Poor Performance ◽  
Limpopo Province ◽  
Least Square ◽  
Irrigation Scheme ◽  
Yield Data ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Institutional Actors

Poor performance bedeviling SISs in South Africa is attributed to poor institutional integration, consequently impacting service delivery. Despite this, local institutional actors (LIAs)’ role has not been documented as a potential entry point to address poor performance and hence increase SISs’ sustainability. This study sought to assess the role of LIAs on the performance of the Tshiombo irrigation scheme (TIS). Structured questionnaires, key informant interviews (KIIs), and focus group discussions (FDGs) were used for data collection. Yield data for sweet potato, the main crop grown in the scheme, was measured as a proxy indicator for performance. Ordinary least square regression model was used to assess the relationship between LIAs and scheme performance after reducing the data using principal component analysis. The study revealed that institutional factors such as community credit support, academic extension support, academic institution market and input support, community maintenance support, and community input support positively and significantly (at 5% level) improved the yield by a margin of 0.49, 0.12, 0.1, 0.36, and 0.10. Assessing institutional actors’ interaction within each scheme will help develop linkages that will enable sustainability of irrigation schemes. Out scaling of research on LIAs on irrigation scheme performance enhances scheme performance.

scholarly journals Forecasting Performance of Commercial Property Investments in Lagos Metropolis

2020 ◽  
Vol 5 (2) ◽  
pp. 59-74
Author(s):  
Obinna Umeh ◽  
◽  
Chibuikem Adilieme ◽  
Keyword(s):  
Poor Performance ◽  
Least Square ◽  
Property Market ◽  
Data Set ◽  
Commercial Property ◽  
Ordinary Least Square ◽  
Property Data ◽  
Simple Regression Model ◽  
Ordinary Least Square Regression ◽  
Victoria Island

Investors rely on statistical forecasts to guide their investment decisions. Given the relative opportunity cost associated with these decisions, and the huge financial implication of commercial property investments, such insights are invaluable; because investors can choose investments from an informed position. Despite this recognised benefit of forecasting, there has been little focus on forecasting the performance (total returns) of commercial property investments in Lagos Metropolis. This paper, therefore, aims to forecast the total returns of two commercial property investment types (shops and offices) in five sub-markets (Yaba, Ikeja, Ikoyi, Victoria Island and Lagos Island) within the Lagos property market. In doing so, the study uses longitudinal data for the capital and rental values of commercial property investments in Lagos between 2006 to 2018 alongside a simple regression model for 2019-2021 predicted total returns. Autocorrelation was used in testing the predictive validity of this data set. Furthermore, multiple-forecasts were evaluated simultaneously for accuracy and, together, they illustrate the difficulty of compiling a robust dataset in the absence of a central database. This paper suggests that the sampled total returns for the five sub-markets fluctuate and tend to decline as seen in the Ordinary Least Square Regression technique for 2019 to 2021. The results also suggest a low autocorrelation in most of the sub-markets, which indicates that the observed pattern of returns may not continue. This paper recommends that investors be wary of commercial property investment in Lagos Metropolis, due to the observed poor performance (low and fluctuating total returns). It is also recommended that a property database be constructed to improve property data reliability and allow for the application of complex quantitative forecasting techniques.

scholarly journals Factors Affecting the Perceptions of Small-Scale Organic Farmers in South Africa: An OLS Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 14
Author(s):  
Gabriel Adewunmi Eyinade ◽  
Celestine Ohi Akharume
Keyword(s):  
South Africa ◽  
Organic Farming ◽  
Least Square ◽  
Small Scale ◽  
Income Generation ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Organic Farmers ◽  
Ordinary Least Square Regression ◽  
Major Factors

Much investments have been tailored towards organic farming by several stakeholders in recent years. Reasons for these are poverty mitigation, income generation as well as food security and good dietary diets. Unfortunately, there are no significant improvements in those areas where organic farming has been funded and encouraged. The study aims at identifying factors affecting the perceptions of small-scale organic farmers using ordinary least square regression model (OLS). One hundred and sixty structure questionnaires were administered on 160 small-scale organic farmers in Amathole District Municipality to gather data for the study. The results revealed that gender and educational level are the major factors affecting the perceptions of small-scale organic farmers in South Africa. Nevertheless, to open the prospective of smallscale organic farmers, the study suggested that these farmers should have greater access to extension services and support. This will go a long way in assisting the farmers to diversify and improve their production, thus enhancing livelihoods and creating markets for organic foods.  

scholarly journals Factors Affecting the Perceptions of Small-Scale Organic Farmers in South Africa: An OLS Approach

2018 ◽  
Vol 10 (2(J)) ◽  
pp. 14-19
Author(s):  
Gabriel Adewunmi Eyinade ◽  
Celestine Ohi Akharume
Keyword(s):  
South Africa ◽  
Organic Farming ◽  
Least Square ◽  
Small Scale ◽  
Income Generation ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Organic Farmers ◽  
Ordinary Least Square Regression ◽  
Major Factors

Much investments have been tailored towards organic farming by several stakeholders in recent years. Reasons for these are poverty mitigation, income generation as well as food security and good dietary diets. Unfortunately, there are no significant improvements in those areas where organic farming has been funded and encouraged. The study aims at identifying factors affecting the perceptions of small-scale organic farmers using ordinary least square regression model (OLS). One hundred and sixty structure questionnaires were administered on 160 small-scale organic farmers in Amathole District Municipality to gather data for the study. The results revealed that gender and educational level are the major factors affecting the perceptions of small-scale organic farmers in South Africa. Nevertheless, to open the prospective of smallscale organic farmers, the study suggested that these farmers should have greater access to extension services and support. This will go a long way in assisting the farmers to diversify and improve their production, thus enhancing livelihoods and creating markets for organic foods.  

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 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.

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