scholarly journals Seasonal Precipitation Variability and Gully Erosion in Southeastern USA

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 925 ◽  
Author(s):  
Ingrid Luffman ◽  
Arpita Nandi
Keyword(s):  
High Intensity ◽  
Gully Erosion ◽  
Precipitation Intensity ◽  
Least Square ◽  
Average Intensity ◽  
Maximum Precipitation ◽  
Antecedent Precipitation ◽  
Frontal Systems ◽  
Ordinary Least Square Regression ◽  
Rain Splash

This study examines the relationship between gully erosion in channels, sidewalls, and interfluves, and precipitation parameters (duration, total accumulation, average intensity, and maximum intensity) annually and seasonally to determine seasonal drivers for precipitation-related erosion. Ordinary Least Square regression models of erosion using precipitation and antecedent precipitation at weekly lags of up to twelve weeks were developed for three erosion variables for each of three geomorphic areas: channels, interfluves, and sidewalls (nine models in total). Erosion was most pronounced in winter months, followed by spring, indicating the influence of high-intensity precipitation from frontal systems and repeated freeze-thaw cycles in winter; erosion in summer was driven by high-intensity precipitation from convectional storms. Annually, duration was the most important driver for erosion, however, during winter and summer months, precipitation intensity was dominant. Seasonal models retained average and maximum precipitation as drivers for erosion in winter months (dominated by frontal systems), and retained maximum precipitation intensity as a driver for erosion in summer months (dominated by convectional storms). In channels, precipitation duration was the dominant driver for erosion due to runoff-related erosion, while in sidewalls and interfluves intensity parameters were equally important as duration, likely related to rain splash erosion. These results show that the character of precipitation, which varies seasonally, is an important driver for gully erosion and that studies of precipitation-driven erosion should consider partitioning data by season to identify these drivers.

Effect of Enterprise Risk Management on Firm Value: Empirical Evidence from Non-Financial Firms in Pakistan

GIS Business ◽  
1970 ◽  
Vol 13 (2) ◽  
pp. 15-28
Author(s):  
Nouman Nasir
Keyword(s):  
Risk Management ◽  
Firm Value ◽  
Positive Impact ◽  
Stock Exchange ◽  
Enterprise Risk Management ◽  
Least Square ◽  
Return On Equity ◽  
Financial Firms ◽  
Enterprise Risk ◽  
Ordinary Least Square Regression

This research examines the effect of enterprise risk management on firm value in Pakistan. Further, this study empirically examines company characteristics that establish the execution of an enterprise risk management system. Using a sample of final dataset of 83 non-financial firms located in Pakistan. The sample included non-financial firms from the year 1999 to 2015 and so up to seventeen observation years per company. As in context of Pakistan, most of the organizations are already implement an ERM programs and establish specialized ERM departments because the ERM is now a global term and has become increasingly relevant because of the growing difficulty of risk and an additional development of regulatory frame works. For the empirical evidences, data collected from non-financial firms listed at the Pakistan Stock Exchange (PSX). Results of logistic regression shows that Capital Opacity, Profitability, Financial Leverage, Firm Size and Slack have positive impact on the implementation of an ERM system but Industrial diversification, Industry and Return on Equity are negatively related to an ERM engagement. The results of ordinary least square regression finds positive relationship between use of an ERM and firm value.

Do the calendar anomalies still exist? Evidence from Indian currency market

2016 ◽  
Vol 42 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Satish Kumar ◽  
Rajesh Pathak
Keyword(s):  
Least Square ◽  
January Effect ◽  
Currency Markets ◽  
Content Type ◽  
Currency Market ◽  
Before And After ◽  
Calendar Anomalies ◽  
Ordinary Least Square Regression ◽  
The 2008 Financial Crisis ◽  
Using Data

Purpose – The purpose of this paper is to examine the presence of the day-of-the-week (DOW) and January effect in the Indian currency market for selected currency pairs; USD-(Indian rupee) INR, EUR-INR, GBP-INR and JPY-INR, from January, 1999 to December, 2014. Design/methodology/approach – Ordinary least square regression analysis is used to examine the presence of DOW and January effect to test the efficiency of the Indian currency market. The sample period is later divided into two sub-periods, that is, pre- and post-2008 to capture the behavior of returns before and after the 2008 financial crisis. Further, the authors also use the non-parametric technique, the Kruskal-Wallis test, to provide robustness check for the results. Findings – The results indicate that the returns during Monday to Wednesday are positive and higher than the returns on Thursday and Friday which show negative returns. The returns during January are found to be higher than the returns during rest of the year. Further, all currencies exhibit significant DOW and January effects in pre-crisis period, however, post-crisis; these effects disappear for all currencies indicating that the markets have become more efficient in the later time. The findings can be further attributed to the increased intervention in the forex markets by the Reserve Bank of India after the crisis. Practical implications – The results have important implications for both traders and investors. The findings suggest that the investors might not be able to earn excess profits by timing their positions in some particular currencies taking the advantage of DOW or January effect which in turn indicates that the currency markets have become more efficient with time. The results are in conformity with those reported for the developed markets. The results might be appealing to the practitioners as well in a way that they can consider the state of financial market for financial decision making. Originality/value – The authors provide the first study to examine the calendar anomalies (DOW and January effect) across a range of emerging currencies using 16 years of data from January, 1999 to December, 2014. To the best of the authors’ knowledge, no study has yet examined these calendar anomalies in the currency markets using data which covers two important periods, pre-2008 and post-2008.

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.

Patients’ Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services

2022 ◽  
pp. 107755872110678
Author(s):  
Nancy Song ◽  
Molly Frean ◽  
Christian T. Covington ◽  
Maike Tietschert ◽  
Emilia Ling ◽  
...  
Keyword(s):  
Integrated Care ◽  
Health Care Providers ◽  
Chronic Conditions ◽  
Health Management ◽  
Least Square ◽  
Sensitivity Analyses ◽  
Medicare Beneficiaries ◽  
Care Providers ◽  
Factors Affecting ◽  
Ordinary Least Square Regression

Requirements for integrating care across providers, settings, and over time increase with patients’ needs. Health care providers’ ability to offer care that patients experience as integrated may vary among patients with different levels of need. We explore the variation in patients’ perceptions of integrated care among Medicare beneficiaries based on the beneficiary’s level of need using ordinary least square regression for each of four high-need groups: beneficiaries (a) with complex chronic conditions, (b) with frailties, (c) below 65 with disability, and (d) with any (of the first three) high needs. We control for beneficiary demographics and other factors affecting integrated care, and we conduct sensitivity analyses controlling for multiple individual chronic conditions. We find significant positive associations with level of need for provider support for self-directed care and medication and home health management. Controlling for multiple individual chronic conditions reduces effect sizes and number of significant relationships.

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 Capital Market Performance as a Panacea for Economic Growth in Nigeria

2019 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Akpokerere Othuke Emmanuel ◽  
Okoroyibo Eloho Elizabeth
Keyword(s):  
Economic Growth ◽  
Capital Market ◽  
Stock Exchange ◽  
Market Performance ◽  
Secondary Data ◽  
Least Square ◽  
Ex Post ◽  
Ordinary Least Square Regression ◽  
Market Variables ◽  
The Capital Market

The paper examined capital market performance as a panacea for economic growth in Nigeria from 1986-2016. A number of related literatures have shown that the Nigerian capital market variables studied has satisfactory market performance and has contributed to economic growth. Yet some researchers observed that the capital market has not significantly mobilized and effectively channeled substantial capital to the real sector of the economy. What could have been the reason for the divergences? The study was anchored on the demand following hypothesis. Secondary data were sourced from Central Bank of Nigeria Statistical Bulletin and Nigeria Stock Exchange fact-book of various editions. The paper adopted the ex-post facto research design while ordinary least square regression techniques was used to process the data gathered using E-views 9.0 software. The null hypotheses (Ho) were tested at 5% level of significance. The findings of the paper revealed that there is negative and insignificant relationship between capital market and the variables studied. The paper conclude that liquidity of the capital market is pivotal for economic growth in Nigeria while the study recommended that all tiers of government should be encouraged to fund their realistic long term developmental program through the Nigeria capital market.

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 Impact of Domestic Public Debt on Economic Growth - An Empirical Study in the Indian Context

2016 ◽  
Vol 6 (4) ◽  
pp. 101-116
Author(s):  
Srinivasa Rao Gangadharan ◽  
Lakshmi Padmakumari
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Positive Impact ◽  
Least Square ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Debt ◽  
Integration Test ◽  
Ordinary Least Square Regression ◽  
The Impact

This study is an empirical investigation to assess the impact of domestic debt on India’s Economic growth during the period 1980 – 2014. We use data on Domestic Debt, Net Fiscal Deficit, Exports, Savings, Real Gross Domestic Product, Population and Terms of Trade. This study adopts the ARDL Co-Integration and Granger Causality techniques to investigate the relation between the key variables. The study also employs various post estimation tests to validate the fitness and stability of the models based on Gauss Markov assumptions, after employing the ordinary least square regression on various models. We find that debt negatively impacts economic growth while savings has a positive impact. The Auto Regressive Distributed Lag (ARDL) technique used to test the robustness suggests existence of co-integration among the variables. However, none of the long run co-efficient is significant. The granger causality and co-integration test results support the traditional view that debt negatively impacts economic growth.

scholarly journals ANALYSIS ON IMPOSITION OF SAFEGUARD MEASURE AND ADMINISTRATIVE SANCTION AGAINST TAX EVASION OF TEXTILES TAX AND TEXTILES PRODUCT IN INDONESIA

2021 ◽  
Vol 5 (1) ◽  
pp. 79-97
Author(s):  
Muhammad Itqonul Humam ◽  
Akhmad Firdiansyah
Keyword(s):  
Tax Evasion ◽  
Textile Industry ◽  
Least Square ◽  
Product Introduction ◽  
Domestic Industry ◽  
Section Data ◽  
Textile Product ◽  
Administrative Sanction ◽  
Serious Injury ◽  
Ordinary Least Square Regression

Import of textile product which keep getting higher has caused serious injury to the domestic textile industry, as an effort to protect domestic industry government has imposed additional import duty in form of safeguard duty for import of textile product. Introduction of safeguard duty is expected to give domestic industry an opportunity to adjust itself for competing with import product, but the establishment of safeguard duty for textile product is thought to be the trigger for tax evasion on import of textile product, against this violation government impose administrative sanction. The purpose of this research is to analyze the effect of safeguard duty imposition and administration sanction on tax evasion. Object of this research is all import activity on textiles product which has been imposed safeguard duty and committing administrative violation since the establishment of safeguard duty for textile product beginning on November 2019 till October 2020. Regression technique used is ordinary least square regression to regress cross section data. Research conclusion find that safeguard duty introduction significantly affecting tax evasion while administrative sanction didn’t have significant effect on reducing tax evasion.. Keywords: textile product, safeguard duty, administration sanction, tax evasion.

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