Remittances and households’ savings behaviour in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarah Salahuddin ◽  
Muhammad Mehedi Masud ◽  
Kwek Kian Teng
Keyword(s):  
Regression Analysis ◽  
National Level ◽  
Least Square ◽  
Pension Scheme ◽  
Analysis Method ◽  
Content Type ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Ordinary Least Square Regression ◽  
The Impact

Purpose The purpose of this study is to examine the impact of remittance inflow on households’ savings behaviour in Bangladesh. Remittances are considered as the countercyclical flow of income for its recipient economies. It surges the liquidity of the households receiving remittances, allows them to endure local economic shocks and facilitates them to practice productive activities. Remittances often form a big pool of resources for investment which complement the national savings and support the country’s growth through higher rates of capital accumulation. Therefore, if a significant portion of the remittance is used for savings it can lead to prominent economic growth in the long term. Design/methodology/approach Existing literature indicates remittance-receiving households have a greater propensity to use remittance income to meet basic consumption. However, based on the survey conducted by the Bangladesh Bureau of Statistics on remittances and household savings (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s saving (SIR, 2016) and using the ordinary least square regression analysis method, to identify the connection between remittances and household’s savings behaviour in Bangladesh. Findings The findings of this study represent remittances encourage households to pursue different kinds of savings in Bangladesh. Savings are made in the form of opening savings accounts, deposit pension scheme/fixed deposits/Bonds, insurance policies, also savings through non-governmental organizations, cooperative societies and savings at home. Other than remittances the demographic characteristics of the household head also influence the savings choices. Originality/value To enable the implementation of appropriate policies to boost savings, analysis from both perspectives; the household and the national level, requires strong vigilance and surveillance.

scholarly journals Impact of Direct and Indirect Tax on the Nigerian Economic Growth

2017 ◽  
Vol 8 (3) ◽  
pp. 215 ◽  
Author(s):  
Oyebisi Mary Ogundana ◽  
Oyedele Mary Ogundana ◽  
Oyeyemi Mercy Ogundana ◽  
Ayodotun Stephen Ibidunni ◽  
Adebola Adetoyinbo
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Least Square ◽  
Annual Reports ◽  
Secondary Source ◽  
Tax System ◽  
Ordinary Least Square ◽  
Least Square Regression ◽  
Ordinary Least Square Regression ◽  
The Impact

This research examined the direct and indirect impact of taxation on the Nigerian economic growth. This research centered on two major objectives by focusing on the trend of direct and indirect tax and the impact of the Nigerian tax system on the growth of the economy.  The research adopted the descriptive research design.  The secondary source of data was also engaged as this data was from CBN statistical bulletin and the annual reports from 1994-2013. The research also used the ordinary least square regression technique. With the use of E-views 7.1 to analyze the data, the first objective was achieved by using graphical analysis while the second objective used ordinary least square regression analysis. The results reveal that the direct and indirect tax have a positive impact on the economy of Nigeria. Therefore, it is recommended that government should take advantage of taxation and promote tax system in Nigeria.

Political connections and audit report lag: Indonesian evidence

2018 ◽  
Vol 26 (1) ◽  
pp. 59-80 ◽  
Author(s):  
Ahsan Habib ◽  
Abdul Haris Muhammadi
Keyword(s):  
Large Body ◽  
Least Square ◽  
Political Connections ◽  
Audit Report ◽  
Financial Reports ◽  
Content Type ◽  
Related Party Transactions ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
The Impact

Purpose This paper aims to investigate the association between political connections and the audit report lag and whether related party transactions moderate the association between the two. Design/methodology/approach An ordinary least square regression is estimated whereby audit report lag is regressed on political connections, related party transactions and the interaction between the two. Data on the number and amounts of RPTs are hand-collected from audited financial reports. A firm-year observation is politically connected if at least one large shareholder (controlling at least 10 per cent of the votes directly or indirectly) or board member or commissioner is a current or former Member of Parliament, a minister or head of local government or closely related to a politician or party. Findings Findings show that the audit report lag is relatively short for politically connected firms but increases when such firms conduct both operating and loan-type related party transactions. This suggests that auditors understand the incentives for, and the implications of, related party transactions and hence exert additional audit efforts in scrutinizing financial statements: activities that will increase the audit report lag. Originality/value Although a large body of empirical research exists on the determinants of audit report lag, none has examined the impact of political connections. This paper further contributes to the auditing literature by documenting auditors’ evaluation of related party transactions in a developing country.

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

The impact of Islamic accounting standards on information asymmetry

2017 ◽  
Vol 10 (2) ◽  
pp. 170-185 ◽  
Author(s):  
Abiot Mindaye Tessema ◽  
Samy Garas ◽  
Kienpin Tee
Keyword(s):  
Information Asymmetry ◽  
Financial Institutions ◽  
Fixed Effects ◽  
Economic Consequences ◽  
Least Square ◽  
Data Availability ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
The Impact

Purpose The purpose of this paper is to investigate whether disclosure as required by Islamic Financial Service Board Standard No. 4 (IFSB-4) influences information asymmetry among investors in the Gulf Cooperation Council (GCC) member countries. In addition, the paper investigates whether the influence of IFSB-4 on information asymmetry varies between Islamic and conventional financial institutions. Design/methodology/approach The paper tests the hypotheses using a sample of firms listed in the GCC over a period of 2000-2013. Ordinary least square regression and fixed-effects estimation techniques are applied to test the hypotheses. Findings The findings reveal that information asymmetry among investors is lower after the implementation of IFSB-4 than before, indicating that the standard has increased transparency. The results also reveal that information asymmetry after the implementation of IFSB-4 is lower for Islamic than for conventional financial institutions. This suggests that IFAB-4 promotes more transparency for Islamic than conventional institutions. Research limitations/implications Owing to data availability, we were unable to use other proxies of information asymmetry, e.g. bid-ask spreads, and the level of disclosure, e.g. self-constructed disclosure index. Practical implications The paper concludes that disclosures under IFAB-4 reduce information asymmetry among investors. In this context, this study increases the awareness of standard setters academics investors regulators and many other stakeholders about the economic consequences of disclosure standards in the region. Originality/value This study takes a first step to fill evident gaps in the literature by investigating the influences of disclosure standard on information asymmetry in a unique setting that is often ignored by accounting researchers, which helps to widen our knowledge on accounting practices across the globe.

scholarly journals The Impact of Spin-Off Policy To The Profitability On Indonesian Islamic Banking Industry

2015 ◽  
Vol 7 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Abdul Hamid
Keyword(s):  
Banking Industry ◽  
Least Square ◽  
Islamic Banking ◽  
Efficiency Ratio ◽  
Internal Factor ◽  
Ordinary Least Square ◽  
Dummy Variable ◽  
Least Square Regression ◽  
Ordinary Least Square Regression ◽  
The Impact

The purpose of this paper is to analyze that the spinoff policy that based on Islamic Banking Act No. 21/2008 had an impact on the profitability  ratio  of  Islamic  banking  industry  in  Indonesia.  This  research  used ordinary least square regression. The variable used in this paper is spin-off which is used as a dummy variable, and also included the internal factor of industry such  as  deposit  margin,  non-performing  financing  (NPF),  and  efficiency  ratio (measured by BOPO). The result showed that dummy variable of spin-off, NPF and BOPO had an impact on the profitability in Indonesian Islamic banking industry. The implication of this result is spin-off policy had a good impact on the profitability in Indonesian Islamic banking industry. According to this result, Bank Indonesia should stimulate the Islamic banking unit to spin-off from their parents conventional banks.DOI:10.15408/aiq.v7i1.1363

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.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

scholarly journals PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

2014 ◽  
Vol 3 (4) ◽  
pp. 130
Author(s):  
NI MADE METTA ASTARI ◽  
NI LUH PUTU SUCIPTAWATI ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Bootstrap Method ◽  
Least Square ◽  
Prediction Tool ◽  
Analysis Method ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

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.

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