scholarly journals Impact of Human Capital on Aggregate Organization Performance in Malaysia

SPLASH Magz ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 44-47
Author(s):  
Clara Schneider ◽  
◽  
Cahya Budhi Irawan ◽  
Keyword(s):  
Human Capital ◽  
Least Squares ◽  
Qualitative Method ◽  
Positive Relationship ◽  
Ordinary Least Squares ◽  
Organization Performance ◽  
Company Performance ◽  
Capital Acquisition ◽  
The Impact

This study examines the impact of human capital on the aggregate performance of companies in Malaysia using the OECD's Human Capital Acquisition Index (OECD) using the Ordinary Least Squares (OLS) qualitative method. Based on the estimation results we find that human capital acquisition has a positive relationship with company performance in Malaysia.

scholarly journals The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?

2020 ◽  
Vol 47 (9) ◽  
pp. 1143-1159
Author(s):  
Roseline Tapuwa Karambakuwa ◽  
Ronney Ncwadi ◽  
Andrew Phiri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
African Countries ◽  
Content Type ◽  
Econometric Approach ◽  
The Impact ◽  
The Relationship ◽  
Ssa Countries

PurposeThe purpose of this study is to examine the impact of human capital on economic growth for a selected sample of nine SSA countries between 1980 and 2014 using a panel econometric approach.Design/methodology/approachThe authors estimate a log-linearized endogenous using the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (POLS) applied to our panel data time series.FindingsThe empirical analysis shows an insignificant effect of human capital on economic growth for our selected sample. These findings remain unchanged even after adding interactive terms to human capital, which are representatives of government spending as well as foreign direct investment. Nevertheless, the authors establish a positive and significant effect of the interactive term between urbanization and human capital on economic growth.Practical implicationsThe results emphasize the need for African policymakers to develop urbanized, “smart”, technologically driven cities within the SSA region as a platform toward strengthening the impact of human capital-economic growth relationship.Originality/valueThis study becomes the first in the literature to validate the human capital–urbanization–growth relationship for African countries.

scholarly journals Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals

2021 ◽  
Author(s):  
Ferdinand Thies ◽  
Sören Wallbach ◽  
Michael Wessel ◽  
Markus Besler ◽  
Alexander Benlian
Keyword(s):  
Least Squares ◽  
Ordinary Least Squares ◽  
High Quality ◽  
Academic Interest ◽  
Entrepreneurial Ventures ◽  
Asset Class ◽  
The Impact ◽  
Moderating Role ◽  
Initial Coin Offerings

AbstractInitial coin offerings (ICOs) have recently emerged as a new financing instrument for entrepreneurial ventures, spurring economic and academic interest. Nevertheless, the impact of exogenous and endogenous signals on the performance of ICOs as well as the effects of the cryptocurrency hype and subsequent downfall of Bitcoin between 2016 and 2019 remain underexplored. We applied ordinary least squares (OLS) regressions based on a dataset containing 1597 ICOs that covers almost 2.5 years. The results show that exogenous and endogenous signals have a significant effect on the funds raised in ICOs. We also find that the Bitcoin price heavily drives the performance of ICOs. However, this hype effect is moderated, as high-quality ICOs are not pegged to these price developments. Revealing the interplay between hypes and signals in the ICO’s asset class should broaden the discussion of this emerging digital phenomenon.

scholarly journals Loss aversion, overconfidence of investors and their impact on market performance evidence from the US stock markets

2020 ◽  
Vol 25 (50) ◽  
pp. 451-478
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg
Keyword(s):  
Stock Market ◽  
Economic Performance ◽  
Loss Aversion ◽  
Market Performance ◽  
Ordinary Least Squares ◽  
Company Performance ◽  
Service Firms ◽  
Content Type ◽  
The Us ◽  
The Impact

Purpose The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed. Design/methodology/approach This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study. Findings It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse. Originality/value This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

scholarly journals The effect of business model innovation on organization performance

2021 ◽  
pp. 1481-1488 ◽  
Author(s):  
Amineh A. Khaddam ◽  
Hani J. Irtaimeh ◽  
Ahmad Rajaa Salameh Al-Batayneh ◽  
Suliman Raja Salameh Al-Batayneh
Keyword(s):  
Business Model ◽  
Value Creation ◽  
Business Model Innovation ◽  
Arab Countries ◽  
Organization Performance ◽  
Company Performance ◽  
Value Proposition ◽  
Value Capture ◽  
The Impact ◽  
Measures Of Performance

The aim of the study is to investigate the impact of business model innovation (BMI) on firm performance. The sample of the study consisted of 120 managers from Alban Al-youm Company in Jordan, a leading dairy company. Data were collected using a questionnaire administered to managers. Eighty-seven questionnaires were retrieved valid for the purpose of data analysis. BMI was measured using three components: value creation, value proposition and value capture innovations while company performance was assessed via self-rated questions about operational measures of performance. The results accepted the hypotheses that all dimensions of BMI had significant effects on company performance. That being so, the study contributed to the literature on BMI on company performance in the absence of such studies that use samples for Arab countries, particularly, from Jordan in one of the most vital industries, which is a dairy industry.

scholarly journals Determinants of Credit Risk in the Banking Sector of Ghana: A Panel Co-integration Approach

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Thomas Appiah ◽  
Frank Bisiw
Keyword(s):  
Credit Risk ◽  
Least Squares ◽  
Banking Sector ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
High Rate ◽  
Long Run ◽  
Integration Techniques ◽  
The Government ◽  
The Impact

The economic development of any nation hinges on the health of its financial system. In recent years, the health of the Ghanaian Banking sector has been affected severely as a result of high levels of non-performing loans (NPLs), which has been identified as a major threat to the overall profitability and survival of banks. To minimize the impact of NPLs on the financial sector, key stakeholders such as the government, bank officials and regulators are working hard in that regard. However, any policy response aimed at dealing with the high rate of non-performing loans first requires the understanding of the underlying determinants of NPLs. Against this backdrop, this paper apply panel co-integration techniques to investigate the determinants of credit risk (NPLs) in the banking sector of Ghana.  We use NPL as a proxy to measure credit risk and assess how it is influenced by macroeconomic and bank-specific factors. A balanced panel data of 16 universal banks in Ghana from 2010 to 2016 has been analyzed using Panel co-integration techniques such as Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS). Our result shows that growth in the economy, measured by Gross Domestic Product (GDP) has significant influence on the NPLs of banks in the long-run. The results further revealed that capital adequacy, profitability and liquidity of banks are significant predictors of NPLs. However, our results suggest that bank size, inflation and interest rate have statistically insignificant influence on the NPLs of Ghanaian banks. The study recommend, among others, that whereas it is important for government and policymakers to work to improve macroeconomic outcomes, banks should also improve their capital adequacy, profitability, and efficiency position as these bank-specific interventions could significantly improve credit quality and minimize NPLs.

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

Does Fund Managers's Human Capital Add Value for The Fund Performance in Malaysia

2021 ◽  
Vol 12 (1) ◽  
pp. 92-92
Author(s):  
Venny Sin-Woon Chong ◽  
Ming-Ming Lai ◽  
Lee-Lee Chong
Keyword(s):  
Human Capital ◽  
Least Squares ◽  
Mutual Fund ◽  
Empirical Studies ◽  
Fund Performance ◽  
Ordinary Least Squares ◽  
Performance Model ◽  
Fund Managers ◽  
Developed Markets ◽  
Three Stage Least Squares

This study examines the integration of fund managers' human capital characteristics (including education, gender, race, experience, age, team manager) relative to the fund performance model. A few previous empirical studies paid attention to human capital characteristics and mutual fund performances based on developed markets and have obtained mixed result findings. However, very little attention has focused on fund managers' human capital characteristics in the Malaysian mutual funds industry. Hence, this study attempts to fill this research gap.Based on a sample of Malaysian mutual fund managers, data is sourced from fund management companies, Thomson One database and fund master prospectus, from January 2012 to December 2014. The study employing ordinary least squares (OLS) and three-stage least squares (3SLS) methods to integrate fund performances and human capital characteristics with single and simultaneous equations based on asset pricing models. Keywords: Human capital, fund manager, fund performance.

The impact of gender inequality in education and employment on economic performance in Turkey: evidence from a cointegration approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ömer Esen ◽  
Gamze Yıldız Seren
Keyword(s):  
Least Squares ◽  
Economic Performance ◽  
Ordinary Least Squares ◽  
Estimation Methods ◽  
Content Type ◽  
Cointegration Tests ◽  
Johansen Cointegration ◽  
Education And Employment ◽  
The Impact

PurposeThis study aims to empirically examine the impact of gender-based inequalities in both education and employment on economic performance using the dataset of Turkey for the period 1975–2018.Design/methodology/approachThis study employs Johansen cointegration tests to analyze the existence of a long-term relation among variables. Furthermore, dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) estimation methods are performed to determine the long-run coefficients.FindingsThe findings from the Johansen cointegration analysis confirm that there is a long-term cointegration relation between variables. Moreover, DOLS and FMOLS results reveal that improvements in gender equality in both education and employment have a strong and significant impact on real gross domestic product (GDP) per capita in the long term.Originality/valueThe authors expect that this study will make remarkable contributions to the future academic studies and policy implementation, as it examines the relation among the variables by including the school life expectancy from primary to tertiary based on the gender parity index (GPI), the gross enrollment ratio from primary to tertiary based on GPI and the ratio of female to male labor force participation (FMLFP) rate.

Mandatory CSR expenditure and stock return

2020 ◽  
Vol 28 (6) ◽  
pp. 951-975
Author(s):  
Asit Bhattacharyya ◽  
Md Lutfur Rahman
Keyword(s):  
Least Squares ◽  
Stock Returns ◽  
Least Squares Method ◽  
Negative Impact ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Reverse Causality ◽  
Endogeneity Bias ◽  
Content Type ◽  
The Impact

Purpose India has mandated corporate social responsibility (CSR) expenditure under Section 135 of the Indian Companies Act, 2013 – the first national jurisdiction to do so. The purpose of this paper is to examine the impact of mandated CSR expenditure on firms’ stock returns by using actual CSR spending data, whereas the previous studies mostly focus on voluntary CSR proxied by CSR scores. Design/methodology/approach The authors estimate their baseline regression by using ordinary least squares(OLS) method. Although the baseline regression involving CSR expenditure and stock returns using ordinary least squares method are estimated, endogeneity and reverse causality biases are addressed by using two-stage least squares and generalized method of moments approaches. These approaches contribute mitigating endogeneity bias and biases associated with unobserved heterogeneity and simultaneity. Findings The findings document that mandatory CSR expenditure has a negative impact on firms’ stock returns which supports the “shareholders” expense’ view. This result remain robust after controlling for endogeneity bias and the use of both standard and robust test statistics. The authors however observe that this result holds for the firms with actual CSR expenditure equal to the mandated amount but does not hold for the firms with actual CSR expenditure greater than the mandated amount. Therefore, the authors provide evidence that CSR expenditure’s impact on stock returns depends on whether firms simply comply the regulation or voluntarily chose an amount of CSR expenditure above the mandated amount. Originality/value The primary contribution is to present a valid and robust evidence of negative effect of mandated CSR spending on firms’ stock returns when the mandatory CSR spending rule is already in place. This study contributes by examining the impact of mandated CSR spending on stock during post-implementation period (2015-2017), whereas other studies by Dharampala and Khanna (2018); Kapoor and Dhamija (2017); and Mukherjee et al. (2018) mainly examined the impact of legislation on Indian CSR. The authors use mandated actual CSR expenditure, whereas previous studies mostly focus on voluntary CSR proxied by CSR scores.

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