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Article
Publication date: 2 January 2024

Andreas Wibowo

This paper delves into the ex ante rates of return demanded by the private sector in Indonesian public–private partnership (PPP) infrastructure projects and the manifold factors…

Abstract

Purpose

This paper delves into the ex ante rates of return demanded by the private sector in Indonesian public–private partnership (PPP) infrastructure projects and the manifold factors emanating from project attributes that can influence these rates.

Design/methodology/approach

This paper analyzes feasibility studies of 37 PPP projects across different sectors. The studies were carefully selected based on relevance, completeness and validity of data. The analysis uses statistical techniques, including Levene’s tests, t-tests, ANOVA tests, Cohen’s effect size and Pearson correlations, to explore differences in cost of capital and excess returns across various attributes.

Findings

Based on the statistical analysis, no significant difference exists between the excess return of 200 basis points (bps) and the equity excess return of 0 bps. This suggests that the eligibility criteria for PPP projects require an internal rate of return (IRR) equal to the weighted average cost of capital plus 200 bps or an equity IRR equal to the cost of equity. The variations in the tested variables among diverse project attributes do not exhibit statistically significant disparities, even though specific attributes display moderate to high effect sizes.

Originality/value

This paper represents one of the first attempts to examine the rates of return demanded by the private sector in the context of Indonesian PPP projects. It comprehensively explores the factors that influence these rates, drawing on insights derived from feasibility studies.

Details

Built Environment Project and Asset Management, vol. 14 no. 2
Type: Research Article
ISSN: 2044-124X

Keywords

Article
Publication date: 16 November 2023

Santi Gopal Maji and Rupjyoti Saha

This study investigates the effect of intellectual capital (IC) and its components on the technical efficiency of Indian commercial banks after controlling the influence of…

Abstract

Purpose

This study investigates the effect of intellectual capital (IC) and its components on the technical efficiency of Indian commercial banks after controlling the influence of bank-specific and macroeconomic variables.

Design/methodology/approach

The study selects a sample of 37 listed Indian commercial banks from 2005 to 2019 and uses the two-step data envelopment analysis (DEA) approach. Banks' technical efficiency scores are first estimated, while the relationship between IC and technical efficiency is examined in the second stage using the panel data Tobit model.

Findings

This study's findings suggest a fluctuating trend in the technical efficiency of Indian banks. Notably, from 2015 onwards, a declining technical efficiency trend is observed for all banks. However, private-sector banks outperform public-sector banks in terms of technical efficiency. This study's regression analysis indicates a positive relationship between IC and banks' technical efficiency scores. Further, by decomposing IC into its components like human capital, structural capital and capital employed, the study's findings show that human capital and structural capital enhance banks' technical efficiency. Notably, capital employed reduces technical efficiency. Moreover, bank size, diversification, capitalization, net interest margin and the country's growth rate significantly drive Indian banks' efficiency. In contrast, their operating cost ratio and the country's inflation negatively influence the same.

Originality/value

This study makes a novel endeavor to examine the IC and bank's technical efficiency nexus in the Indian context, encompassing a period of landmark banking reforms.

Details

Managerial Finance, vol. 50 no. 4
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 22 August 2022

Oscar F. Briones, Segundo M. Camino-Mogro and Veronica J. Navas

The purpose of this research is to examine Micro-, small- and medium-sized enterprises (MSMEs). Which have limited access to financial resources from financial intermediaries…

Abstract

Purpose

The purpose of this research is to examine Micro-, small- and medium-sized enterprises (MSMEs). Which have limited access to financial resources from financial intermediaries. Thus, resource allocation is a primary concern for them.

Design/methodology/approach

This research studies the determinants of cash conversion cycle components and cash flow of MSMEs operating in Ecuador. This study examined a robust sample of 19,680 firms from 2000 to 2020, using the two-step generalized methods of moments to control for endogeneity and multicollinearity of independent variables issues.

Findings

The sample was divided into working capital intensive and fixed capital intensive firms. It was found that in every segment (micro-, small- and medium-sized), the majority of firms are working capital intensive and their average return is higher. This implies that small business owners assign the majority of their resources to current assets, which thus far have enabled them to achieve higher profitability.

Originality/value

Research investigated Ecuadorian MSMEs in a dollarized developing environment. Scrutinizing working capital intensive vs fixed capital intensive.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 16 no. 2
Type: Research Article
ISSN: 2053-4604

Keywords

Book part
Publication date: 8 April 2024

Markéta Skupieňová, Tetiana Konieva and Ivana Koštuříková

The amount of current assets and the structure of their financing within working capital management define the level of risk, liquidity and profitability of any company. This…

Abstract

The amount of current assets and the structure of their financing within working capital management define the level of risk, liquidity and profitability of any company. This chapter identifies the type of working capital investment and financing policies and reveals their influence on the financial performance of Czech firms.

The type of investment policy was defined, based on the structure of current assets and the working capital-to-sales ratio, followed by the share of different liabilities in assets, used to determine the financing policy. The Orbis database provided the chapter with indexes of manufacturing, agricultural, construction and trade companies for the period of 2012–2021.

The results obtained revealed the liquidity and financial independence of all selected industries. Flexible investment and conservative financing policies in agriculture were accompanied by low profitability. The decrease of the working capital-to-sales ratio and the attraction of the current debts for assets financing provided a higher return on assets in the manufacturing, agricultural and trade sectors.

Details

Modeling Economic Growth in Contemporary Czechia
Type: Book
ISBN: 978-1-83753-841-6

Keywords

Article
Publication date: 26 March 2024

Syed Quaid Ali Shah, Fong Woon Lai, Muhammad Tahir, Muhammad Kashif Shad, Salaheldin Hamad and Syed Emad Azhar Ali

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in…

Abstract

Purpose

Intellectual capital (IC) is a paramount resource for competitiveness in the knowledge-based financial sectors of the economy. As financial technology advances, specifically in the banking industry, it is vital to understand the effect of IC on financial performance. This study aims to investigate the effect of IC on return on equity (ROE), with a unique emphasis on the moderating role of board attributes. Previous studies have overlooked this moderating role.

Design/methodology/approach

The study sample consists of 17 banks and a panel data set spanning 2016–2021, extracted from annual reports. Antel Pulic’s value-added intellectual coefficient (VAIC) model is used to compute IC. To analyze the data, a generalized least squares analysis is conducted. The robustness of the analysis is ensured by using the two-stage least squares (2SLS) econometric technique.

Findings

The findings indicate that both the VAIC and human capital efficiency (HCE) have a significant impact on the ROE of banks. In terms of moderation, it is observed that board size (BS) exerts a negative effect on the association between VAIC, HCE, structural capital efficiency and ROE. Additionally, BS positively compounds the connection between capital employed efficiency and ROE. Similarly, the presence of independent directors (IND) significantly moderates the effects of VAIC and its components on the ROE of banks in Pakistan.

Practical implications

Banks should focus on the HCE for a higher ROE. Moreover, banks ought to prioritize appointing more independent directors in the boardroom for effective utilization of IC and greater ROE.

Originality/value

The findings of the study, which analyzed data from Pakistan’s banking sector, are original and provide additional insights into the literature on IC and board attributes.

Details

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

Keywords

Book part
Publication date: 5 April 2024

Luis Orea, Inmaculada Álvarez-Ayuso and Luis Servén

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of…

Abstract

This chapter provides an empirical assessment of the effects of infrastructure provision on structural change and aggregate productivity using industrylevel data for a set of developed and developing countries over 1995–2010. A distinctive feature of the empirical strategy followed is that it allows the measurement of the resource reallocation directly attributable to infrastructure provision. To achieve this, a two-level top-down decomposition of aggregate productivity that combines and extends several strands of the literature is proposed. The empirical application reveals significant production losses attributable to misallocation of inputs across firms, especially among African countries. Also, the results show that infrastructure provision has stimulated aggregate total factor productivity growth through both within and between industry productivity gains.

Article
Publication date: 24 August 2023

Shallu Batra, Mahender Yadav and Mohit Saini

The purpose of this study is twofold: first, to examine the relationship between foreign ownership and stock return volatility and second, to explore how COVID-19 impacts such a…

Abstract

Purpose

The purpose of this study is twofold: first, to examine the relationship between foreign ownership and stock return volatility and second, to explore how COVID-19 impacts such a relationship.

Design/methodology/approach

This empirical research is based on the non-financial firms of the BSE-100 index over the 2013–2022 period. The ordinary least squares, fixed effects and system GMM (Generalized method of moment) techniques are used to analyze the effect of oversea investors on stock return volatility.

Findings

Results indicate an inverse association between foreign ownership and stock return volatility. The outcomes of the pre-and during-COVID-19 period show a negative but insignificant relationship between foreign ownership and stock return volatility. These results reflect foreign investors sold their stocks pessimistically, which badly affected the Indian stock market.

Originality/value

This study enriches the previous literature by exploring the impact of foreign investors on the stock return volatility of Indian firms. To date, no study has captured the impact of foreign ownership on stock return volatility during the COVID-19 pandemic.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0179

Details

International Journal of Social Economics, vol. 51 no. 4
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 1 August 2023

Jurgita Banytė and Christopher Mulhearn

This article seeks to offer an answer. It explores the criteria on which commercial property market participants can develop strategies in hugely challenging circumstances. For…

Abstract

Purpose

This article seeks to offer an answer. It explores the criteria on which commercial property market participants can develop strategies in hugely challenging circumstances. For this purpose, a survey-based approach was developed with work conducted with property-market professional in the United Kingdom (UK), France, Germany and Sweden to produce a criteria-based tool supporting adaption to changing market circumstances.

Design/methodology/approach

The data have been analyzed using statistical analysis. The data's statistical analysis included Cronbach's alpha's application to evaluate the respondents' replies' reliability. A entral tendency test was used to identify the means of relevance of the criteria. The Mann–Whitney U test was used to determine potential material differences between the UK and other countries with Bonferroni corrections applied to minimize type-I errors.

Findings

Thirty characteristics have been identified that impact the dynamics of the commercial property market. Their relevance to the commercial property market was determined using a survey. The literature analysis showed that the researchers paid more attention to quantitative criteria and their comparison. The survey showed that the relevance of criteria to the commercial property market dynamics is unequal. However, the survey results showed that it is most important to pay attention to emotional criteria to adapt to uncertainty changing conditions. The problem of the environment has been on the agenda for the last four decades. Therefore, the fact that the results of the study showed that the environmental criteria are the least significant is unexpected.

Research limitations/implications

The study involved economically developed countries of Europe. Extending the study's geographical scope would be valuable in revealing whether the same differences exist in other geographical areas (such as Australia or the USA).

Practical implications

The practical implication of the analysis may be to facilitate the decision-making process of either selecting a country for commercial property investment or selecting the most sensitive and relevant criteria for the decision-making.

Originality/value

Criteria for commercial property market performance which promote successful property investment have been developed. Moreover, the criteria affecting the commercial property market have been weighted by their relevance to the market and their sequence of relevance has been established. And finally, the developed criteria have been placed into five groups that could serve as a foundation for a macro-level assessment of commercial property market dynamics.

Details

Property Management, vol. 42 no. 2
Type: Research Article
ISSN: 0263-7472

Keywords

Book part
Publication date: 4 April 2024

De-Wai Chou, Pi-Hsia Hung and Lin Lin

This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors…

Abstract

This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.

Details

Advances in Pacific Basin Business, Economics and Finance
Type: Book
ISBN: 978-1-83753-865-2

Keywords

Book part
Publication date: 5 April 2024

Taining Wang and Daniel J. Henderson

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production…

Abstract

A semiparametric stochastic frontier model is proposed for panel data, incorporating several flexible features. First, a constant elasticity of substitution (CES) production frontier is considered without log-transformation to prevent induced non-negligible estimation bias. Second, the model flexibility is improved via semiparameterization, where the technology is an unknown function of a set of environment variables. The technology function accounts for latent heterogeneity across individual units, which can be freely correlated with inputs, environment variables, and/or inefficiency determinants. Furthermore, the technology function incorporates a single-index structure to circumvent the curse of dimensionality. Third, distributional assumptions are eschewed on both stochastic noise and inefficiency for model identification. Instead, only the conditional mean of the inefficiency is assumed, which depends on related determinants with a wide range of choice, via a positive parametric function. As a result, technical efficiency is constructed without relying on an assumed distribution on composite error. The model provides flexible structures on both the production frontier and inefficiency, thereby alleviating the risk of model misspecification in production and efficiency analysis. The estimator involves a series based nonlinear least squares estimation for the unknown parameters and a kernel based local estimation for the technology function. Promising finite-sample performance is demonstrated through simulations, and the model is applied to investigate productive efficiency among OECD countries from 1970–2019.

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