scholarly journals Environmental, Social, Governance Risk and Corporate Sustainable Growth Nexus: Quantile Regression Approach

2021 ◽  
Vol 18 (20) ◽  
pp. 10865
Author(s):  
Xiaodong Teng ◽  
Yanzhi Wang ◽  
Aiguo Wang ◽  
Bao-Guang Chang ◽  
Kun-Shan Wu
Keyword(s):  
Quantile Regression ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Sustainable Growth ◽  
Detailed Knowledge ◽  
Course Of Action ◽  
Regression Approach ◽  
Negative Effect ◽  
Sustainable Growth Rate ◽  
The Impact

Despite a huge body of literature revealing that the effect of environmental, social and governance (ESG) scores on a firms' financial performance and value, it lacks the empirical research on the nexus between corporate sustainable growth and ESG risk in the existing research. The paper aims to examine the nexus between ESG risk and corporate sustainable growth. This study utilizes a quantile regression approach to explore how ESG risk affects corporate sustainable growth (proxied by sustainable growth rate, SGR). The ordinary least squares estimation results confirm that ESG significantly negatively affects corporate sustainable growth. The quantile regression results reveal ESG risk has a significant negative effect on corporate sustainable growth in the upper quantiles of SGR, but not in the lower and median quantiles. The results show that the impact of ESG risk on the corporate sustainable growth is asymmetric and affected by the distribution of SGR. Furthermore, the research results identify that the negative relationship between ESG risk and corporate sustainable growth is particularly apparent for firms in environmentally sensitive industries. This study greatly contributes to existing literature, as with this detailed knowledge, managers can make decisions based on these associations and identify the most lucrative course of action.

scholarly journals Debt Overhang, Gazelles’ Growth, and Fiscal Policy: A Note from the Quantile Regression Approach

2021 ◽  
Vol 13 (18) ◽  
pp. 10457
Author(s):  
Sorin Gabriel Anton ◽  
Mihaela Onofrei ◽  
Emilia Gogu ◽  
Bogdan Constantin Neculau ◽  
Florin Mihai
Keyword(s):  
Fiscal Policy ◽  
Quantile Regression ◽  
Firm Growth ◽  
Tax Rates ◽  
Lower Growth ◽  
Effective Tax Rates ◽  
Debt Overhang ◽  
Regression Approach ◽  
Negative Effect ◽  
The Impact

The paper aims to examine the relationship between leverage and firm growth and the impact of fiscal policy on this relationship using a panel data quantile regression approach. Employing a sample of gazelles from emerging Europe for the 2006–2014 period, we find that debt overhang negatively affects firm growth only for the lower growth quantiles. In addition, we found that the negative effect is higher for the gazelles located in countries with lower corporate income effective tax rates. However, for the higher growth quantiles, the impact of debt on firm growth is positive and statistically significant. Our results reconcile the mixed results of the previous studies and have practical implications for financing strategies in emerging markets.

The effect of intangible assets on sustainable growth and firm value – Evidence on intellectual capital investment in companies listed on Bucharest Stock Exchange

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Catalin Ionita ◽  
Elena Dinu
Keyword(s):  
Growth Rate ◽  
Intellectual Capital ◽  
Firm Value ◽  
Intangible Assets ◽  
Stock Exchange ◽  
Listed Companies ◽  
Sustainable Growth ◽  
Content Type ◽  
Sustainable Growth Rate ◽  
The Impact

PurposeThe present study investigates the connection between company investments in intellectual capital (IC) and how they translate into financial value. The aim is to test the impact of intangible assets on the firm value and its sustainable growth.Design/methodology/approachThe research employs computation models to determine the sustainable growth rate (SGR) and the firm value (FV), and by using the ordinary least squares (OLS) model through a linear regression assesses the relationship between the dependent variables and expenditures on intangibles like R&D, IT programs and patents. A sample of 42 companies has been selected out of the 78 listed at Bucharest Stock Exchange (BSE), based on the appropriateness of the information disclosed in the financial reports for the period 2016–2019.FindingsThe results show that intangibles classified as innovative competences (R&D and Patents) do not have a positive impact on SGR and FV in listed companies from Romania. Moreover, R&D has a negative and significant effect on FV, while IT Programs have a positive and significant impact on FV, but not on the SGR. Variables categorised as economic competencies (Brands, Shares held in associates and jointly controlled entities) and firm structure-specific variables (Leverage, Firm Performance) seem to have a significant effect on SGR and FV. Shares held in associates and jointly controlled entities is the variable that can have the biggest impact when it comes to FV for companies listed at BSE.Research limitations/implicationsDue to non-disclosure of specific information by some companies, or lack of investments in intangibles the sample had to be reduced and does not cover all listed companies.Practical implicationsCompanies listed on the Regulated Market from the Bucharest Stock Exchange should maintain their scale of liabilities at a reasonable level when financing intangible assets in order to ensure corporate long-term and sustainable development. Also, these companies should maintain awareness about the importance of intangible assets and invest more in specific sub-components, in order to sustain competitive advantage. Recognizing the roles of intangibles, managers need to develop strategies to invest in profitable intangibles by reasonably allocating their limited resources, in order to achieve sustainable growth and increase company success.Originality/valueStudies concerning the relation between investments in intangibles and sustainable growth rate and firm value of listed Romanian companies are very scarce. This paper reveals new research, never before undertaken, concerning expenditures on intangibles by Romanian companies and the valuation of such investments on Bucharest Stock Exchange.

A quantile regression approach to evaluate the relative impact of global and local factors on the MENA stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Returns ◽  
Stock Markets ◽  
Financial Integration ◽  
Ordinary Least Squares ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
The Impact

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

scholarly journals Improving estimations in quantile regression model with autoregressive errors

2018 ◽  
Vol 22 (Suppl. 1) ◽  
pp. 97-107 ◽  
Author(s):  
Bahadır Yuzbasi ◽  
Yasin Asar ◽  
Samil Sik ◽  
Ahmet Demiralp
Keyword(s):  
Quantile Regression ◽  
Regression Model ◽  
Simulation Experiment ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
White Noise Process ◽  
Respiratory Mortality ◽  
Explanatory Variables ◽  
Quantile Regression Model ◽  
Regression Approach

An important issue is that the respiratory mortality may be a result of air pollution which can be measured by the following variables: temperature, relative humidity, carbon monoxide, sulfur dioxide, nitrogen dioxide, hydrocarbons, ozone, and particulates. The usual way is to fit a model using the ordinary least squares regression, which has some assumptions, also known as Gauss-Markov assumptions, on the error term showing white noise process of the regression model. However, in many applications, especially for this example, these assumptions are not satisfied. Therefore, in this study, a quantile regression approach is used to model the respiratory mortality using the mentioned explanatory variables. Moreover, improved estimation techniques such as preliminary testing and shrinkage strategies are also obtained when the errors are autoregressive. A Monte Carlo simulation experiment, including the quantile penalty estimators such as lasso, ridge, and elastic net, is designed to evaluate the performances of the proposed techniques. Finally, the theoretical risks of the listed estimators are given.

scholarly journals The Impact of Government Debt on the Economic Growth of Ghana: A Time Series Analysis from 1990-2015

2015 ◽  
Vol 2 (5) ◽  
pp. 31-39 ◽  
Author(s):  
Lucy Anning ◽  
Collins Frimpong Ofori ◽  
Ernest Kwame Affum
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Negative Relationship ◽  
Secondary Data ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Poor Countries ◽  
High Dependency ◽  
Heavily Indebted Poor Countries ◽  
The Impact

In this study we investigate the impact of government debt on the economic growth of Ghana adopting the methodology of the simple Ordinary Least Squares with data spanning from 1990 to 2015. Ghana has unfortunately found itself in the tragic situation of high external government debt which has led to high dependency on aid and other loans to support its development. These aids and loans have seen the debt of Ghana rise steadily over the years. As a result of the Heavily-Indebted Poor Countries (HIPC) which was presented by the IMF and World Bank in 1999, Ghana was judged to be a HIPC with unsustainable debt enabling the country to benefit from debt relief. We investigate the impact of government debt (both external and domestic) by testing three related models at the domestic and external levels including the general growth of the Ghanaian economy. In constructing our dataset, we build on the study of many scholars including a substantial amount of new materials from both primary and secondary data sources being Ministry of Finance (MOF) or Treasury Latest actual data: Government Finance Statistics Manual (GFSM), Ghana and World Bank. The research findings revealed that there is a negative relationship between debt (domestic and external) and growth in the economy of Ghana and recommend among others that government debt borrowing should be discouraged while increasing the revenue base through tax reform programs is encouraged.

The Impact of Money Demand Motivation on Money Supply Indonesia

2021 ◽  
Vol 3 (1) ◽  
pp. 10-16
Author(s):  
Arin Jannah Dinonasih ◽  
Keyword(s):  
Money Supply ◽  
Money Demand ◽  
Least Squares Method ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Significant Negative Relationship ◽  
Precautionary Motive ◽  
The Impact ◽  
Ordinary Least Squares Method ◽  
Annual Period

This study aims to investigate the impact of money demand motive on a money supply based on keyness theory. The method used in this study is the ordinary least squares method with an annual period from 2011 to 2020. We find that In Indonesia, the money demand motive has a significant effect on money supply where the transaction motive has a significant negative relationship with the money supply. A precautionary motive has a significant positive correlation with the money supply. The motive of speculation has a significant positive relationship with the money supply.

scholarly journals Determinants of household income of micro-finance women participants: a quantile regression approach

2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal
Keyword(s):  
Quantile Regression ◽  
Capita Income ◽  
Per Capita Income ◽  
Content Type ◽  
Income Distributions ◽  
Asset Value ◽  
Regression Approach ◽  
Convenience Sampling ◽  
Per Capita ◽  
The Impact

Purpose The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions. Design/methodology/approach This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan. Findings The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles. Originality/value However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

The Social Issue in the Company

2019 ◽  
Vol 5 (1) ◽  
pp. 37-43
Author(s):  
Abdelatif Kerzabi ◽  
Nawal Chemma
Keyword(s):  
World Bank ◽  
Negative Relationship ◽  
Secondary Data ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Poor Countries ◽  
High Dependency ◽  
Heavily Indebted Poor Countries ◽  
Research Findings ◽  
The Impact

In this study, we investigate the impact of government debt on the economic growth of Ghana adopting the methodology of the simple Ordinary Least Squares with data spanning from 1990 to 2015. Ghana has unfortunately found itself in the tragic situation of high external government debt which has led to high dependency on aid and other loans to support its development. These aids and loans have seen the debt of Ghana rise steadily over the years. As a result of the Heavily-Indebted Poor Countries (HIPC) which was presented by the IMF and World Bank in 1999, Ghana was judged to be a HIPC with unsustainable debt enabling the country to benefit from debt relief. We investigate the impact of government debt (both external and domestic) by testing three related models at the domestic and external levels including the general growth of the Ghanaian economy. In constructing our dataset, we build on the study of many scholars including a substantial amount of new materials from both primary and secondary data sources being Ministry of Finance (MOF) or Treasury Latest actual data: Government Finance Statistics Manual (GFSM), Ghana and World Bank. The research findings revealed that there is a negative relationship between debt (domestic and external) and growth in the economy of Ghana and recommend among others that government debt borrowing should be discouraged while increasing the revenue base through tax reform programs is encouraged.

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