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Article
Publication date: 5 October 2022

Ömer Tuğsal Doruk

In the present study, using a novel fractional logit model, the link between R&D (Research & Development) investment and shareholder value-based CEO (Chief Executive Officer…

Abstract

Purpose

In the present study, using a novel fractional logit model, the link between R&D (Research & Development) investment and shareholder value-based CEO (Chief Executive Officer) compensation has been examined within the non-financial sector in the Euro area economies using a firm-level dataset for 2002–2019.

Design/methodology/approach

The fractional logit model is utilized to examine the effects of corporate payment on R&D investment. The fractional logit model can be considered the empirical approach that takes into account R&D non-performer firms to avoid reducing the sample size. The fractional logit model is superior to the censored or truncated models, like Tobit, since the fractional logit model is useful to address the econometric limitations that are found in the censored and truncated models in the non-linear models.

Findings

The findings obtained in this study showed a significant and negative effect of short-term aim-based CEO payment on R&D expenditures in the Euro area economies using firm-level data. These findings are robust to different robustness checks and modeling alternatives.

Originality/value

To the author's knowledge, there is no study that examines the effects of short-term shareholder value maximization-based CEO compensation on R&D in the European context in the literature.

Details

Kybernetes, vol. 52 no. 12
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 2 November 2023

Lan-Huong Nguyen, Tu D.Q. Le and Thanh Ngo

This paper aims to investigate the efficiency and performance of the Islamic banking industry amid the COVID-19 pandemic.

Abstract

Purpose

This paper aims to investigate the efficiency and performance of the Islamic banking industry amid the COVID-19 pandemic.

Design/methodology/approach

The authors used a two-stage data envelopment analysis to first estimate the efficiency of 78 Islamic banks (IBs) across 15 countries for the 2005–2020 period (a total of 782 bank-year observations) and then to examine their determinants, including the COVID-19 pandemic.

Findings

The authors found that the Islamic banking industry performed at a moderate level during the 2005–2020 period, providing evidence that IBs are resilient to the financial shocks created by COVID-19. The authors also found that bank-level characteristics (such as bank size) and country-level characteristics (such as inflation) can contribute to the bank’s operational efficiency.

Research limitations/implications

The results of this study suggested that banking management and government macroeconomic policy, especially in terms of precautions and continuous support, are important for IBs to improve their performance.

Originality/value

To the best of the authors’ knowledge, this is the first study to examine the efficiency and performance of IBs amid COVID-19.

Details

Journal of Islamic Accounting and Business Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0817

Keywords

Article
Publication date: 21 December 2023

Panagiotis Mitropoulos, Alexandros Mitropoulos and Aimilia Vlami

The purpose of this paper is to measure the high-quality entrepreneurial efficiency of family-owned small- and medium-sized enterprises (SMEs) while exploring the potential…

Abstract

Purpose

The purpose of this paper is to measure the high-quality entrepreneurial efficiency of family-owned small- and medium-sized enterprises (SMEs) while exploring the potential determinants of their performance. This study places particular emphasis on the firms' technological competencies and internationalization efforts. The authors aim to shed light on the internal and external characteristics that impact the efficiency of family SMEs.

Design/methodology/approach

This study adopts a two-stage approach. In the first stage, a data envelopment analysis model is utilized to measure the high-quality entrepreneurial efficiency of family SMEs. To achieve this, this study considered as outputs three key quality aspects of entrepreneurship, namely innovativeness, export orientation and turnover rate, while the inputs were the number of employees and the business environment. Then, in the second stage, the efficiency scores are regressed against a set of environmental factors that may affect the efficiency. The proposed efficiency measurement models are utilized with a particularly rich dataset of 1,910 family SMEs from 35 developed countries.

Findings

The results demonstrated that the efficiency of family SMEs primarily engaged in the production of goods was significantly higher than those providing services. Importantly, the presence of barriers related to innovation and digitalization had a pronounced negative impact on efficiency. Additionally, scale-up firms exhibited higher levels of efficiency. When examining family SMEs within their national context, it was observed that non-EU countries and countries with a higher gross domestic product displayed significantly higher efficiencies.

Originality/value

The findings of this research provide guidance for the development of entrepreneurship-oriented policies that consider both the internal characteristics of family SMEs and the diverse socioeconomic contexts in which they operate.

Details

Journal of Family Business Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-6238

Keywords

Article
Publication date: 23 February 2024

Anju Goswami and Pooja Malik

The novel coronavirus (COVID-19) has caused financial stress and limited their lending agility, resulting in more non-performing loans (NPLs) and lower performance during the II…

Abstract

Purpose

The novel coronavirus (COVID-19) has caused financial stress and limited their lending agility, resulting in more non-performing loans (NPLs) and lower performance during the II wave of the coronavirus crisis. Therefore, it is essential to identify the risky factors influencing the financial performance of Indian banks spanning 2018–2022.

Design/methodology/approach

Our sample consists of a balanced panel dataset of 75 scheduled commercial banks from three different ownership groups, including public, private and foreign banks, that were actively engaged in their operations during 2018–2022. Factor identification is performed via a fixed-effects model (FEM) that solves the issue of heterogeneity across different with banks over time. Additionally, to ensure the robustness of our findings, we also identify the risky drivers of the financial performance of Indian banks using an alternative measure, the pooled ordinary least squares (OLS) model.

Findings

Empirical evidence indicates that default risk, solvency risk and COVAR reduce financial performance in India. However, high liquidity, Z-score and the COVID-19 crisis enhance the financial performance of Indian banks. Unsystematic risk and systemic risk factors play an important role in determining the prognosis of COVID-19. The study supports the “bad-management,” “moral hazard” and “tail risk spillover of a single bank to the system” hypotheses. Public sector banks (PSBs) have considerable potential to achieve financial performance while controlling unsystematic risk and exogenous shocks relative to their peer group. Finally, robustness check estimates confirm the coefficients of the main model.

Practical implications

This study contributes to the knowledge in the banking literature by identifying risk factors that may affect financial performance during a crisis nexus and providing information about preventive measures. These insights are valuable to bankers, academics, managers and regulators for policy formulation. The findings of this paper provide important insights by considering all the risk factors that may be responsible for reducing the probability of financial performance in the banking system of an emerging market economy.

Originality/value

The empirical analysis has been done with a fresh perspective to consider unsystematic risk, systemic risk and exogenous risk (COVID-19) with the financial performance of Indian banks. Furthermore, none of the existing banking literature explicitly explores the drivers of the I and II waves of COVID-19 while considering COVID-19 as a dependent variable. Therefore, the aim of the present study is to make efforts in this direction.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

Book part
Publication date: 5 April 2024

Zhichao Wang and Valentin Zelenyuk

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were…

Abstract

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.

Article
Publication date: 16 November 2022

Camillus Abawiera Wongnaa, Alhassan Abudu, Awal Abdul-Rahaman, Joel Atta Ennin and Dadson Awunyo-Vitor

Outgrower scheme as a contractual agreement between farmers and some funding entities has in recent times found proliferation among resource poor farmers in Ghana, especially in…

Abstract

Purpose

Outgrower scheme as a contractual agreement between farmers and some funding entities has in recent times found proliferation among resource poor farmers in Ghana, especially in northern Ghana. This contractual arrangement, which involves the provision of farm inputs, and in some cases, technical support by the implementing company and the repayment by farmers with portions of their harvest, is often regarded as an effective way to mutually improve the outcomes of both smallholder farmers and outgrower companies. The study aims to analyse. the level of awareness, nature of input package, determinants of participation and intensity of participation in input credit scheme by smallholder rice farmers in the Mamprugu Moagduri District of Ghana’s North East Region, using the Integrated Water Management and Agriculture Development (IWAD) scheme as a case.

Design/methodology/approach

Using a quantitative analytical approach, the study gathers information from 233 randomly selected smallholder rice farmers consisting of 150 participants and 83 non-participants using a structured questionnaire. Descriptive statistics, as well as the Tobit model, are the methods used in the analysis.

Findings

The results show that while factors such as age, marital status, number of dependents and farming experience only influenced participation in the scheme, religion, age, sex, number of dependents and farming experience influenced intensity of participation.

Originality/value

This study calls for the adoption of sustainable approaches by input credit companies in their credit support to smallholder farmers rather than the current ad hoc support during each cropping season.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. 17 no. 6
Type: Research Article
ISSN: 1750-6204

Keywords

Article
Publication date: 25 May 2022

Masrizal, Raditya Sukmana, Bayu Arie Fianto and Rifyal Zuhdi Gultom

This paper aims to examine the relationship between economic freedom and Islamic rural banks' efficiency in the case of Indonesia.

Abstract

Purpose

This paper aims to examine the relationship between economic freedom and Islamic rural banks' efficiency in the case of Indonesia.

Design/methodology/approach

The study covers 40 Islamic rural banks in 34 Indonesian regions from 2014 to 2020. Tobit regression is utilized to expose the impact of economic freedom on the efficiency of Islamic rural banks, and nonparametric frontier data envelopment analysis is used to acquire banks' technical efficiency.

Findings

The findings reveal that overall economic freedom has a strong favorable impact on the efficiency of Islamic rural banks. The study’s breakdown components suggest that business freedom, government spending and investment freedom are favorable indicators, whereas government integrity and tax burden are negative indicators, and all indicators agree with previous studies.

Practical implications

This research can serve as a guideline for Islamic rural bank management in terms of maintaining financial efficiency. The government should think about the ramifications of financial sector liberalization and reforms, according to these findings. When financial intermediaries operate in a less constrained environment, they are more likely to pursue competitive practices that increase their operating rate and other efficiency metrics. Finally, academics might utilize this information to investigate the economic flexibility of Islamic rural banks.

Originality/value

The novelty of this study is in using data envelopment analysis and Tobit regression to identify economic freedom and Islamic rural banks' efficiency. To the best of the authors' knowledge, the study of the role of economic freedom in Islamic rural bank's efficiency is limited, particularly in the context of Indonesia.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 9
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 18 October 2022

Yihays Fente Tarekegn, Weifeng Li and Huilin Xiao

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was…

Abstract

Purpose

The current paper's goal is to examine the productivity of the closed banking sector evidenced from Ethiopia. In addition, the inclusion of intangibles on productivity was examined in the current paper.

Design/methodology/approach

First, the standard Malmquist Productivity Index (MPI) was employed for 13 commercial banks for both stages. Second, by excluding the state-owned commercial bank, the analysis employed a bootstrapped MPI for the robust and comprehensive conclusion. Furthermore, from 2010 to 2019, the fixed effect Ordinary Least Square (OLS) regression with balanced panel data was used.

Findings

The standard MPI in both stages shows that the productivity of Ethiopian commercial banks is declining. The technological shock was the main reason for the loss. The catch-up in both stages scored above unity, mainly due to the pure efficiency change. Besides, when combined with tangible resources, the inclusion of resource-based view (RBV) proxy variables reduces technological shock regress and ultimately improves productivity change. The bootstrapped MPI also reveals that technological shock is the primary source of the productivity decline. However, efficiency change also contributes to the productivity decline based on this estimation.

Research limitations/implications

Future research could examine the more extensive productivity analysis by considering the primary sources of data collections for resource-based variables.

Practical implications

According to the study's results, banking regulatory authorities and bank management, including the shareholders, should continue to invest in cutting-edge technology to improve the productivity of the banking sector.

Originality/value

This is the first comprehensive study of productivity for Ethiopian commercial banks based on the standard MPI, bootstrapped MPI, and OLS by incorporating all resources into the analysis.

Details

International Journal of Productivity and Performance Management, vol. 73 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 31 May 2023

Mebrahtu Tesfagebreal, Li Chang, Siele Jean Tuo and Yu Qian

The purpose of this paper is to investigate the effect of corruption level in steering the business–government relations (BGRs) in developing countries. It also examines the…

Abstract

Purpose

The purpose of this paper is to investigate the effect of corruption level in steering the business–government relations (BGRs) in developing countries. It also examines the moderating effect of firm size.

Design/methodology/approach

Using robust tobit and probit models, this study tests the response behavior of 9787 firms from 23 African countries to their government's policy and regulations and the direct effect of corruption control level in their response decisions. The authors also perform several other additional analyses to ensure the robustness of the findings, including change analysis, two-stage model and recursive bivariate model.

Findings

The result shows that corruption level is among the significant factors that drive BGRs exponentially. The finding points out that, there is a strong alliance of business and government in more corrupt countries. Moreover, the impact of corruption level exacerbates when the firm is bigger.

Research limitations/implications

Managers should focus more on activities that create long-term sustainable advantage. Valuable time of the senior managers should not waste on negotiating government policies to earn a short term advantages.

Practical implications

It is evident that legal and transparent government alliances can lead to economic rent for firms. However, it is important to note that any alliance based on corruption and illegality is short-lived and ultimately detrimental to long-term prosperity. Therefore, it is crucial for firms to prioritize ethical business practices and build relationships with governments that prioritize transparency and accountability.

Social implications

Given the detrimental impact of corruption on economic progress, it is crucial for Africa policy-makers to prioritize reforms aimed at reducing its adverse effect. By implementing ethical and transparent business practices, countries can attract more investment and promote economic growth.

Originality/value

This study contributes to the existing literature on the passive form of political connectivity/activity and to what extend corruption level affect the political activities of firms.

Details

Asian Review of Accounting, vol. 31 no. 5
Type: Research Article
ISSN: 1321-7348

Keywords

Open Access
Article
Publication date: 15 February 2024

Di Kang, Steven W. Kirkpatrick, Zhipeng Zhang, Xiang Liu and Zheyong Bian

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is…

Abstract

Purpose

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is to propose a simplified approach aimed at addressing this research gap by developing a physics-informed 1-D model. The model is used to simulate train dynamics through a time-stepping algorithm, incorporating derailment data after the point of derailment.

Design/methodology/approach

In this study, a simplified approach is adopted that applies a 1-D kinematic analysis with data obtained from various derailments. These include the length and weight of the rail cars behind the point of derailment, the train braking effects, derailment blockage forces, the grade of the track and the train rolling and aerodynamic resistance. Since train braking/blockage effects and derailment blockage forces are not always available for historical or potential train derailment, it is also necessary to fit the historical data and find optimal parameters to estimate these two variables. Using these fitted parameters, a detailed comparison can be performed between the physics-informed 1-D model and previous statistical models to predict the derailment severity.

Findings

The results show that the proposed model outperforms the Truncated Geometric model (the latest statistical model used in prior research) in estimating derailment severity. The proposed model contributes to the understanding and prevention of train derailments and hazmat release consequences, offering improved accuracy for certain scenarios and train types

Originality/value

This paper presents a simplified physics-informed 1-D model, which could help understand the derailment mechanism and, thus, is expected to estimate train derailment severity more accurately for certain scenarios and train types compared with the latest statistical model. The performance of the braking response and the 1-D model is verified by comparing known ride-down profiles with estimated ones. This validation process ensures that both the braking response and the 1-D model accurately represent the expected behavior.

Details

Smart and Resilient Transportation, vol. 6 no. 1
Type: Research Article
ISSN: 2632-0487

Keywords

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