Vandana Arya, Ravinder Verma and Vijender Pal Saini
The study examines the association between trade (exports and imports), foreign direct investment (FDI) and economic growth in the Bay of Bengal Initiative for Multi-Sectoral…
Abstract
Purpose
The study examines the association between trade (exports and imports), foreign direct investment (FDI) and economic growth in the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) countries using data from 1991 to 2019.
Design/methodology/approach
Augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests were applied to check the stationary of the data while the Johansen cointegration test and Vector Error Correction Model (VECM) was used to analyze long-run and short-run relationships.
Findings
The results indicate a long-run relationship between trade, FDI and economic growth in all selected countries except Bhutan. Additionally, a bidirectional causality exists between gross domestic product (GDP) and FDI in India, Bangladesh, Myanmar, Nepal, Bhutan and Sri Lanka, while unidirectional causality from GDP to FDI is observed in Thailand. Moreover, a one-way causality from exports to GDP exists in Bangladesh, Nepal, Bhutan, Sri Lanka and Myanmar, whereas a bidirectional relationship exists in India and Thailand.
Practical implications
This paper will be highly beneficial for regulators and policymakers in the designated economies, aiding in the formulation of FDI and trade policies that promote economic progress and development.
Originality/value
Most previous studies examining the relationship between macroeconomic variables have focused on developed nations. This study is the first to explore the relationship between trade (exports and imports), FDI and economic growth in the BIMSTEC countries.
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Deepak Verma, Varun Dawar and Pankaj Chaudhary
The present study's goal is to analyze the impact of audit quality (AQ) on earnings quality (EQ) using different audit attributes. The study shows empirical evidence from India…
Abstract
Purpose
The present study's goal is to analyze the impact of audit quality (AQ) on earnings quality (EQ) using different audit attributes. The study shows empirical evidence from India, considered an emerging market.
Design/methodology/approach
The sample selected represents the 376 non-financial firms listed on the Bombay Stock Exchange (BSE). With a 20-year time frame, the authors used the absolute value of discretionary accruals (McNichols, 2002) (DA) as a proxy for EM, which is inversely related to EQ. The authors analyzed data using OLS, fixed effect (FE), 2SLS and Panel-IV estimators.
Findings
The authors found that most audit attributes positively affect EQ. In the Indian context, joint auditor (JA), auditor size (A_SIZE), auditor fee (A_FEE) and auditor tenure (A_TENURE) have a negative association with EM indicating high EQ. In contrast, auditor rotation (A_ROTATON) positively affects EM confirming low EQ.
Research limitations/implications
The present study uses Big-4 and its member firms as a proxy of auditor size (A_SIZE); instead, other bases may be taken for it, like the dominant audit firms in a particular industry in sample data, etc. The authors have started audit tenure from the base year, i.e. 2001, which may ignore the association of auditor and auditee just before 2001.
Practical implications
The study findings would enhance policymakers' willingness to prepare appropriate regulations regarding JAs and auditor rotation, which might improve financial market efficiency and reduce financial fraud among Indian corporates.
Originality/value
To the best of the authors' knowledge, this is the first study to incorporate “Joint Auditor” (JA) as a proxy for audit quality in the Indian context, which might significantly contribute to the literature.
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Abhishek Behl, Angappa Gunasekaran, Rajesh Kumar Singh and Sachin Kamble
Rohit Bansal, Arun Singh, Sushil Kumar and Rajni Gupta
The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs…
Abstract
Purpose
The purpose of this paper is to quantify several measures to examine the determinants of profitability for the listed Indian banks. The authors include both public sector (PSUs) and private sector’s banks in the study. The authors have taken all the banks that are registered on the Bombay stock exchange (BSE) in the sample. This paper also intends to identify the association between the net profit margin (PM) and return on assets (ROA) with the several other independent variables of the Indian banking sector including private banks and public banks over the past six years starting from April 1, 2012 to March 31, 2017. Therefore, a sample of 39 listed banking companies and total 195 balanced observations are selected for the analysis purpose.
Design/methodology/approach
The authors have used profitability as a dependent variable represented by net PM, ROA and several financial ratios as independent variables. Financial statement and income statement of all listed banks were obtained from BSE and particular company’s website. Panel data regression has been analyzed with both the descriptive research techniques, i.e., fixed effects and random effects. The authors also verified both panel techniques with Hausman’s specification test, which is a widely used procedure for selecting a panel effect. The authors applied PP – Fisher χ2, PP – Choi Z-statistics and Hadri to testing whether the data set is free from unit root problem and data set is a stationary series.
Findings
Results imply that interest expended interest earned (IEIE) and credit deposit ratio (CRDR) reduced the profitability of private banks in India. IEIE, CRDR and quick ratio (QR) reduced the profitability of public banks in India, while cash deposit ratio (CDR) and Advances to Loan Funds (ALF) increased the effectiveness of public banks. Under the total banks IEIE, CRDR reduced the profitability, on the other side, CDR, ALF and Total Debt to Owners Fund (TDOF) increased the profitability of total banks in India. Under the dependency of ROA, CRDR and TDOF reduced the return of private banks in India, while CDR, ALF and QR enhanced the profitability of private banks.
Originality/value
No variables found significant under public banks while taking ROA as a dependent variable. Under the overall banking data, CRDR reduced the profitability. On the other side, capital adequacy ratio and ALF increased the profitability of total banks in India. The findings of this study will support policy creators, financial executives and investors in constructing investment decisions.