scholarly journals The impact of hotel attributes on room rate in star graded hotels in Colombo, Sri Lanka

2021 ◽  
Vol 2 (3) ◽  
pp. 159-170
Author(s):  
A.C.I.D. Karunarathne ◽  
◽  
D A C Silva ◽  
Keyword(s):  
Sri Lanka ◽  
Negative Impact ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Published Data ◽  
Sri Lankan ◽  
Room Size ◽  
Quality Signals ◽  
Point Data ◽  
The Impact

Abstract Purpose: The purpose of this study was to examine how the availability or absence of different hotel attributes affect the room rate during a given period. This study identified the impact of various hotel attributes on the room rate. Research methodology: Published data on available hotel attributes, and room rates of selected room categories of star-graded hotels in Colombo district, Sri Lanka, were gathered online through booking.com. The Ordinary Least Squares (OLS) method was used to estimate the impact of key determinants under hotel amenities, quality signals, and locational attributes. Results: The results revealed eleven key attributes of the room rate in star-graded hotels, illustrating the positive impact from seven determinants and the negative impact from four determinants. Hotel class or star grade was the most significant determinant in the room rate, which generally determines the pricing behavior and service quality and most of the attributes and characteristics in a hotel. Availability of a business center, location of the hotel, fitness center/spa, total number of rooms in the hotel, room size, and view from room also significantly determined the room rate. Limitations: Booking.com, as the most popular Online Travel Agent (OTA) used in Sri Lanka, it was assumed that the information is frequently updated. The study was extended for the hotels in the Colombo district, and hence, the results were based on the point data, which may not be an islandwide representation or year through data. Contribution: As theoretical applications are underused in pricing and revenue decisions in the Sri Lankan hotel sector, results will lead to advance the decision making of practitioners, and this study will be a complement to the lack of literature in the field of revenue management in Sri Lankan context and may encourage future researchers laying an inspiring beginning.

The Impact of Performance Management Under Environmental Turbulence

2018 ◽  
Vol 49 (4) ◽  
pp. 441-453
Author(s):  
Obed Pasha ◽  
Theodore H. Poister
Keyword(s):  
Strategic Planning ◽  
Performance Measurement ◽  
Organizational Performance ◽  
Performance Management ◽  
Negative Impact ◽  
Positive Impact ◽  
The United States ◽  
Ordinary Least Squares ◽  
Transit Agencies ◽  
The Impact

Performance management is an established concept in the public sector, with several empirical studies supporting its beneficial impact on organizational performance. Research on performance management, however, is still in initial stages and mostly examines the impact of this practice under stable environmental conditions. This study adds to the literature by analyzing the effect of this system on performance of local transit agencies in a turbulent environment characterized by the Great Recession and its aftermath. Exploratory factor analysis (EFA) on survey responses from 162 local transit agencies in the United States is used to extract the four components of performance management, namely, formal strategic planning, logical incrementalism, performance measurement, and performance information use. Ordinary least squares (OLS) regression analysis shows that an independent use of formal strategic planning and logical incrementalism has a negative impact on organizational performance under turbulence. Performance measurement and a blend of formal strategic planning and logical incrementalism, however, show a positive impact.

scholarly journals Causal nexus between fiscal deficit and economic growth

2016 ◽  
Vol 4 (8) ◽  
pp. 1-19
Author(s):  
Ravinthirakumaran Navaratnam ◽  
Kasavarajah Mayandy
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
South Asian ◽  
Negative Impact ◽  
Positive Impact ◽  
Cointegration Analysis ◽  
Annual Data ◽  
Fiscal Deficit ◽  
Asian Countries ◽  
The Impact

The impact of fiscal deficit on economic growth is one of the most widely debated issues among economists and policy makers in both developed and developing countries in the recent period. This paper seeks to examine the impact of fiscal deficit on economic growth in selected South Asian countries, namely, Bangladesh, India, Nepal, Pakistan and Sri Lanka using time series annual data over the period 1980 to 2014. The paper uses cointegration analysis, error correction modelling and Granger causality test under a Vector Autoregression (VAR) framework. The results from this study confirmed that the fiscal deficit has a negative impact on economic growth in the South Asian countries considered in this study except Nepal, which confirmed the positive impact. The results also highlighted that the direction of causality for the SAARC countries is mixed where fiscal deficit causes economic growth for Bangladesh, Nepal and Pakistan, but the reverse is true for India and Sri Lanka.  

scholarly journals The Impacts of Monetary and Fiscal Policies on Economic Growth in Malaysia, Singapore and Thailand

2020 ◽  
Vol 9 (1) ◽  
pp. 114-130
Author(s):  
Chai-Thing Tan ◽  
Azali Mohamed ◽  
Muzafar Shah Habibullah ◽  
Lee Chin
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Method ◽  
Negative Impact ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Jel Classification ◽  
Fiscal Policies ◽  
Distributed Lag ◽  
The Impact

This article analyses the impact of monetary and fiscal policies on economic growth in Malaysia, Singapore and Thailand from 1980:Q1 to 2017:Q1. Autoregressive distributed lag (ARDL) approach is employed to determine the long-run relationship. Further, a range of econometric models, such as fully modified least squares method (FMOLS), canonical cointegration regression (CCR) and dynamic ordinary least squares method (DOLS), are applied to check the robustness. The results are stable and robust as all the models yield consistency result. The main findings in this study demonstrate that: (a) interest rate had a negative impact on economic growth in three selected countries. (b) Government spending had a negative impact on economic growth in Malaysia and Singapore, but had a positive impact in Thailand. (c) Monetary policy is more effective in Malaysia and Singapore, while fiscal policy is more effective in Thailand. JEL Classification: E52, E58, E62, C01

scholarly journals Impact of Money Supply on Sri Lankan Economy: An Econometric Analysis

2016 ◽  
Vol 67 ◽  
pp. 11-17 ◽  
Author(s):  
A.L.M. Aslam
Keyword(s):  
Economic Growth ◽  
Sri Lanka ◽  
Money Supply ◽  
Serial Correlation ◽  
Positive Impact ◽  
Series Data ◽  
Sri Lankan ◽  
Independent Variables ◽  
Lm Test ◽  
The Impact

Economists argue that the money supply positively impact on economic growth of nations. In Sri Lankan context this statement was not tested econometrically. Therefore, the aim of this study was to scrutinize the impact of money supply on Sri Lankan economy. To exam this objective, this study considered the time series data from the period of 1959 to 2013 and used two types of variables such as dependent and independent variables. Here, the gross domestic product was considered as dependent variable, and Money supply, Exchange rate, Exports earnings, Imports outflow, the Colombo consumer price index were deemed as independent variables. In the meantime, the multivariate econometric method was used to test the impacts of money supply on economic growth of Sri Lanka. According to the analytical results, the money supply has kept positive impact on the economic growth of Sri Lanka at 1% significant level. The R-squared of the estimated model was 92% which was indicated that the estimated model was desirable. Meanwhile, the Durbin Watson test statistic was 2.43 and also the Breusch –Godfrey serial correlation LM test results was greater than 5%. Therefore, these statistics indicated that, the estimated model was not suffering from serial correlation.

scholarly journals Government Size and Economic Growth in Botswana: An Application of Nonlinear Armey Curve Analysis

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Narain Sinha ◽  
Kefilwe Allister Kalayakgosi
Keyword(s):  
Economic Growth ◽  
Polynomial Regression ◽  
Negative Impact ◽  
Positive Impact ◽  
Quadratic Function ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Government Size ◽  
Government Revenue ◽  
The Impact

This study has investigated the impact of government size on economic growth in Botswana using annual time series data for the period 1973 to 2012. The study adopted a framework analysis based on a quadratic function/second degree polynomial regression employed by Herath (2012). Ordinary Least Squares (OLS) method was used for the regression analysis. The results obtained are not consistent with the empirical and theoretical views as small government size has a negative impact on economic growth while a large government size has a positive impact on economic growth. The results obtained in the study were opposite to the views of most of the studies conducted. Nominal Total government expenditure is used as a measure of government size and growth of nominal GDP is used to measure economic growth. The study also employed other control variables which affect growth like government revenue as a percentage of GDP, Gross capital formation (GCF) as a percentage of GDP as proxy for investment rate and growth of paid employees as a proxy for labor force growth. The results showed that government revenue and GCF had a negative impact on economic growth but GCF was insignificant. Growth of paid employees on the other hand had a positive impact on economic growth. The study aimed at investigating the existence of the Armey curve in a developing country like Botswana. Due to government size having a negative impact on economic growth and government size squared having a positive impact on economic growth the conclusion is that the Armey curve does not exist in Botswana.

Political instability and its impact on economic growth: the case of Jordan

2019 ◽  
Vol 18 (3) ◽  
pp. 366-380 ◽  
Author(s):  
Malak Samih Abu Murad ◽  
Nooh Alshyab
Keyword(s):  
Economic Growth ◽  
Design Methodology ◽  
Negative Impact ◽  
Positive Impact ◽  
Political Instability ◽  
Ordinary Least Squares ◽  
Small Country ◽  
Content Type ◽  
The Impact ◽  
Least Squares Approach

Purpose Political instability may have far-reaching implications for economic performance. This paper aims to analyze the impact of political instability on economic growth by focusing on the case of Jordan, a small country located in the Middle East, which represents a highly political instable region. Design/methodology/approach The analysis is performed by regressing different indicators for internal and external political instability on economic growth for the period from 1980 to 2015 using the fully modified ordinary least squares approach. Findings The results point at a significant impact of political instability on the economic growth of the country in all the specifications considered; in particular, the analysis reveals a positive impact of external political instability indexed by border countries’ political instability and a negative impact of internal political instability, as proxied by the number of crimes and cabinet changes. Further, regarding the effect of the level of freedom, the authors find evidence for the so-called conflict perspective. Originality/value This paper is original and relevant for two main reasons. First, it adds to the debate on the effects of political instability on economic growth, and hereby, disentangles the effects of internal and external political instability. Second, it makes an important contribution by focusing on the case of Jordan, which has received little attention in the literature on political instability so far, even though political instability is a constant threat to the country.

scholarly journals Impact of HR Practices on Employee Engagement among Machine Operators in the Large Apparel Industry in Sri Lanka

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
HPASU Pinto ◽  
UK Thalgaspitiya
Keyword(s):  
Regression Analysis ◽  
Sri Lanka ◽  
Performance Appraisal ◽  
Employee Engagement ◽  
Positive Impact ◽  
Apparel Industry ◽  
Sri Lankan ◽  
Hr Practices ◽  
Machine Operators ◽  
The Impact

Area of the Study This study is mainly focused on examining the impact of HR practices on employee engagement among machine operators in the large apparel industry in Sri Lanka. Problem of the Study There is an empirical gap of how HR practices affect to employee engagement in the Sri Lankan context. Therefore researchers addressed: How HR practices affect employee engagement among machine operators in the large apparel industry in Sri Lanka? Method of the study The data were collected from a randomly selected sample of 384 machine operators who are employed in top three companies in the large Sri Lankan apparel industry. A structured questionnaire which included Bakar’s (2013) 16 items for measuring HR practices and Bakker, et al.’ (2002) 17 items for measure employee engagement was administered. The data were analyzed using Pearson’sCorrelation and simple regression analysis. Findings of the Study The findings exhibited that there is a positive relationship between HR practices and employee engagement among machine operators in the large apparel industry in Sri Lanka. As well as HR practices of the Sri Lankan large apparel industry companies are at a satisfactory level and employee engagement of machine operatorsare at a high level. Moreover, all dimensions of HR practices are positively and significantly correlated with employee engagement, namely selective staffing, reward system, performance appraisal, comprehensive training and employee participation program. Lastly, the regression analysis between HR practices and employee engagement indicated that 59.8% of total variance of employee engagement was explained by HR practices. Conclusion of the Study It is concluded that there is a positive impact of HR practices on employee engagement among machine operators in the large apparel industry in Sri Lanka. Thus organizations in this sector need to develop proper and well-structured HR practices to attain high employee engagement level among the machine operators. Keywords: HR Practices, Employee Engagement, Machine Operators

Evaluating the impact of energy and environment on economic growth in BRI countries

2022 ◽  
pp. 0958305X2110738
Author(s):  
Muhammad Noshab Hussain ◽  
Zaiyang Li ◽  
Abdul Sattar ◽  
Muhammad Ilyas
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Negative Impact ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Empirical Estimation ◽  
Renewable Energy Consumption ◽  
Income Groups ◽  
The Impact

This study investigates the impact of renewable energy consumption (REC), nonrenewable energy consumption (NREC), and carbon emissions on economic growth in 133 Belt and Road Initiative (BRI) countries from 1996 to 2020. We divided our sample into four income groups. For empirical estimation, this study employs panel quantile regression (PQR), and fully modified ordinary least squares (FMOLS) estimation techniques. The results confirm that REC have a positive impact on economic growth and NREC has a negative impact on economic growth. A 1% increase in REC and carbon emissions results in an increase in economic growth of 0.108% and 1.085%, respectively. A 1% increase in NREC reduces economic growth by 0.263% in the full sample countries. There are regional differences, although NREC has a positive impact on economic growth in all income groups in the long run. These novel empirical findings will help policymakers design energy policies to fulfill the target of economic growth in BRI countries.

Diversity and the Performance of Selected Financial Institutions of Asia

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Shafaque Fatima ◽  
Saqib Sharif
Keyword(s):  
Financial Institutions ◽  
Positive Impact ◽  
Financial Institution ◽  
Gender Diversity ◽  
Business Case ◽  
Ordinary Least Squares ◽  
Cross Sectional ◽  
Age Diversity ◽  
The Impact ◽  
Nationality Diversity

Linking with the business case for diversity, this study examines whether the top management team (TMT) and the board of directors (BODs) diversity has a positive impact on financial institution (FI) performance in select countries of Asia least researched domain. We use data from 119 financial institutions across Asia for the year 2015, initially 1,447 institutions; however, incomplete data was excluded from final analysis. We use three proxies for diversity, that is, nationality diversity, gender diversity, and age diversity of TMT and BODs. To investigate the impact of TMT and BODs diversity, cross-sectional ordinary least-squares estimation is applied, using Return on Average Assets (ROAA%) as a measure of performance.  We find that nationality diversity and age diversity is positively and significantly related to FIs performance. Our evidence indicates that executives and board members with diverse exposure and younger age improve FIs profitability. However, there is no significant relationship between gender and FIs performance.

043 Sleep Restriction Affects Memory in Healthy Adults: Preliminary Findings

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A18-A19
Author(s):  
Molly Zimmerman ◽  
Christiane Hale ◽  
Adam Brickman ◽  
Lok-Kin Yeung ◽  
Justin Cochran ◽  
...  
Keyword(s):  
Working Memory ◽  
Negative Impact ◽  
Positive Impact ◽  
Healthy Adults ◽  
Task Demands ◽  
Sleep Restriction ◽  
Neuropsychological Function ◽  
Wake Time ◽  
Sleep Condition ◽  
The Impact

Abstract Introduction Sleep loss has a range of detrimental effects on cognitive ability. However, few studies have examined the impact of sleep restriction on neuropsychological function using an experimental design. The goal of this study was to examine the extent to which maintained insufficient sleep affects cognition in healthy adults compared to habitual adequate sleep. Methods This study used a randomized, crossover, outpatient sleep restriction design. Adults who regularly slept at least 7 h/night, verified by 2 weeks of screening with actigraphy, completed 2 phases of 6 weeks each: habitual sleep (>7 h of sleep/night) or sleep restriction (habitual sleep minus 1.5 h) separated by a 6-week washout period. During the sleep restriction phase, participants were asked to delay their bedtime by 1.5 hours/night while maintaining their habitual wake time. Neuropsychological function was evaluated with the NIH Toolbox Cognition Battery at baseline (week 0) and endpoint (week 6) of each intervention phase. The NIH Toolbox evaluates a range of cognitive abilities, including attention, executive functioning, and working memory. General linear models with post hoc paired t-tests were used to assess demographically-adjusted test scores prior to and following each sleep condition. Results At the time of analyses, 16 participants were enrolled (age 34.5□14.5 years, 9 women), 10 of whom had completed study procedures. An interaction between sleep condition and testing session revealed that individuals performed worse on List Sorting, a working memory test, after sleep restriction but improved slightly after habitual sleep (p<0.001). While not statistically reliable, the pattern of test results was similar on the other tests of processing speed, executive function, and attention. Conclusion In these preliminary results from this randomized experimental study, we demonstrated that sleep restriction has a negative impact while stable habitual adequate sleep has a positive impact on working memory, or the ability to temporarily hold information in mind while executing task demands. This finding contributes to our understanding of the complex interplay between different aspects of sleep quality (i.e., both sleep restriction as well as the maintenance of stable sleep patterns) on cognition and underscores the importance of routine sleep screening as part of medical evaluations. Support (if any):

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