Corporate leverage: structural equations framework in an emerging economy

2017 ◽  
Vol 43 (11) ◽  
pp. 1224-1235
Author(s):  
Saad Ullah ◽  
Ahmed Faisal Siddiqui ◽  
Rubeena Tashfeen
Keyword(s):  
Manufacturing Industry ◽  
Structural Equations ◽  
Debt Financing ◽  
Data Availability ◽  
External Financing ◽  
Content Type ◽  
Financing Policies ◽  
Industrial Sectors ◽  
Financing Behavior ◽  
Small Industries

Purpose The purpose of this paper is to investigate the financing behavior of firms in Pakistan. Previous studies have investigated corporate leverage determinants within any particular industry, such as manufacturing industry, textiles industry, etc., with varying results. This is one of the few studies that examine the determinants of leveraging attitude of firms across industrial sectors for textiles, large industries, and small industries. Thus, the study provides an insight into the general debt financing behavior in Pakistan and allows a basis for comparison of the leveraging decisions across industries. Design/methodology/approach The study employs the structural equations methodology which captures the endogenous relationship between profitability and leverage. Thereby, eliminating bias and providing more accurate results. Findings The findings suggest that the leveraging decisions differ across sectors and that each industry has its own distinctive debt requirements/characteristics. The authors conclude that a singular approach taken by investors and analysts would provide inaccurate assessment of firms’ debt financing policies and strategies. Research limitations/implications There is a limitation on data availability in emerging countries, and a larger sample would have provided more robust results. Therefore, the study has only taken three sector sub-divisions, and more industry categories would have provided in-depth insights into the industry-wise leveraging behavior. Practical implications This is the first study to suggest that the borrowing attitude of firms differ across industries and vary due to their specific needs. This has implications for government regulators, investors, and creditors in providing a more customized approach to analyzing and meeting the external financing needs of firms. Originality/value This study is the first to use simultaneous equations model to eliminate bias that is prevalent in similar studies in Pakistan. The SEM captures the endogenous relationship between profitability and leverage. The research provides important information about the underlying financing behavior across industries, which has largely been ignored.

Internet of Things – the future of managing supply chain risks

2020 ◽  
Vol 25 (5) ◽  
pp. 535-548 ◽  
Author(s):  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Internet Of Things ◽  
Manufacturing Industry ◽  
Radical Change ◽  
Data Availability ◽  
Information Requirements ◽  
Case Study Methodology ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined. Design/methodology/approach This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM. Findings The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage. Practical implications This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM. Originality/value This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

scholarly journals Internal and external financing of innovation

2019 ◽  
Vol 23 (2) ◽  
pp. 200-213 ◽  
Author(s):  
Petra A. Nylund ◽  
Nuria Arimany-Serrat ◽  
Xavier Ferras-Hernandez ◽  
Eric Viardot ◽  
Henry Boateng ◽  
...  
Keyword(s):  
Empirical Investigation ◽  
Evolutionary Economics ◽  
Debt Financing ◽  
External Financing ◽  
Data Set ◽  
Content Type ◽  
Successful Innovation ◽  
The Impact ◽  
Construction Services ◽  
Degree Of Innovation

Purpose Successful innovation requires a significant financial commitment. Therefore, the purpose of this paper is to investigate the relation between internal and external financing and the degree of innovation in European firms. Design/methodology/approach An empirical investigation is carried out using a longitudinal data set including 146 large, quoted, European firms over ten years, resulting in 1,460 firm years. Findings The authors find that only firms in the energy sector will be more innovative when they are profitable. For the sectors of basic materials, manufacture and construction, services, financial and property services, and technology and telecommunications, profitability is negatively related to innovation. External financing in the form of debt reduces the focus on innovation in profitable firms. Research limitations/implications The authors analyze the findings through the lens of evolutionary economics. The model is not valid for firms in the consumer-goods sector, which indicates a need for adapting the model to each sector. We conclude that the impact of profitability on innovation varies across sectors, with debt financing as a moderating factor. Originality/value To the best of authors’ knowledge, this is the first study that analyzes the internal and external financing and the degree of innovation in European firms on a longitudinal basis.

Debt structure: a solution to the puzzle of capital structure

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ehsan Poursoleyman ◽  
Gholamreza Mansourfar ◽  
Sazali Abidin
Keyword(s):  
Financial Performance ◽  
Debt Financing ◽  
Investment Efficiency ◽  
External Financing ◽  
Financial Leverage ◽  
Debt Structure ◽  
Short Term ◽  
Content Type ◽  
Financing And Investment ◽  
Practical Implications

PurposeThe purpose of this paper is to investigate the relation between debt structure and future external financing and investment. Furthermore, it aims to analyze the association between debt structure and future financial performance.Design/methodology/approachVolume, maturity, possessing collateral and having priority at the settlement date are the dimensions of debt structure that have been employed in this paper. The sample consists of 1,060 firm-year observations from Tehran Stock Exchange corporations during the period 2009–2018.FindingsThe findings reveal that greater reliance on financial leverage (debt volume) and short-term debt are associated with increases in future debt financing as well as future equity financing. Moreover, these two dimensions of debt structure are positively related to future investment. This paper also shows that the positive impact of financial leverage and short-term debt on future financing and investment can finally lead to a favorable financial performance. Regarding other dimensions of debt structure, the results suggest that although collateralized debt with the priority option at the settlement date enhances future external financing, this type of debt can ultimately lead to a reduction in future investment and financial performance. Finally, the findings indicate that uncollateralized debt exacerbates future financial performance.Research limitations/implicationsFinancial performance can be affected by several factors, including available funds, investment amount, investment efficiency and managerial capability. However, this paper only considers the investment amount and external financing as the channels through which debt structure improves future financial performance. This study has the potential to contribute to one of the most important issues in finance and business fields, despite its probable trivial drawbacks.Practical implicationsFinancing strategies as one of the most controversial topics have been meticulously scrutinized in this paper and practical implications are made to facilitate the process of decision-making regarding the optimal type of debt financing.Originality/valueThis study extends the literature by analyzing the direct link between debt structure and firm performance in firms domiciled in developing markets.

scholarly journals How venture capitalists evaluate young innovative company patent portfolios: empirical evidence from Europe

2020 ◽  
Vol 26 (4) ◽  
pp. 695-721
Author(s):  
Federico Caviggioli ◽  
Alessandra Colombelli ◽  
Antonio De Marco ◽  
Emilio Paolucci
Keyword(s):  
Patent Protection ◽  
Equity Capital ◽  
Data Availability ◽  
Venture Capitalists ◽  
Content Type ◽  
Financing Decisions ◽  
Industrial Sectors ◽  
Innovative Company ◽  
Different Characteristics ◽  
Patent Portfolio

PurposeThis paper analyzes the importance given by venture capital (VC) firms to the different characteristics of the patent portfolio of a young innovative company (YIC). In an attempt to go beyond previous studies, the authors argue that not only is the size of a technological portfolio significant but also its nature. It is also examined whether the correlation between patents and VC financing varies across different industrial sectors and over different rounds of VC investments.Design/methodology/approachThe empirical analysis has focused on a sample of 1,096 European YICs between the years 2010 and 2014. Target companies were identified in the monthly bulletins of Go4Venture, which reported the largest European deals and gathered information on the amount of VC financing. Additional data was derived from FinSMEs and crunchbase. Industrial sectors were differentiated according to their ability to appropriate the returns of innovation by relying on patent protection mechanisms. A multivariate regression framework at the patent family level was adopted to investigate empirical associations between the amount of VC financing and the characteristics of a YIC's patent portfolio.FindingsThe results confirm the positive value of patents. Both the size and the characteristics of a YIC patent portfolio have been found to be positively associated with the total amount of VC financing. Additionally, the correlation between a YIC patent portfolio and VC investment varies across industries and over rounds of funding. Although the number of patents is positively correlated with VC investments in sectors with strong Intellectual Property (IP) regimes, the same does not apply to sectors characterized by lower patent intensity, where qualitative metrics seem to have a stronger correlation. Significant differences have also been found for the different rounds of VC investments.Research limitations/implicationsThe limitations of this paper are related to data availability. Empirical associations have been investigated, but causal effects cannot be ascertained in this framework. The authors focused on a sample of firms that received VC funding. Several transactions were excluded, due to a lack of specifications pertaining to the round series. Furthermore, a number of potential drivers of the financed amounts, such as variables related to the founder or the management team, have not been considered in this study.Practical implicationsFor firms operating in sectors with weak IP regimes, patents are positively associated with attracting equity capital, if they are the output of R&D collaborations and have higher technical merit. In industries where patent intensity is higher, patent portfolio size matters more than quality. This suggests that VC investors award innovation quality to cases in which patenting is less frequent. Since the results indicate that positive associations between patenting and VC financing are more significant in later stages, managers should plan their patenting strategy in advance to reap the related benefits, and then collect the premium at later VC stages.Originality/valueIn this paper, the importance given by VC firms to different characteristics of a YIC patent portfolio has been analyzed in terms of size, quality, and complexity. While previous empirical analyses mainly focused on a single sector, the authors have examined whether the relevance of patents for VC financing decisions varies across industries and over different rounds of investment. The geographical coverage of the sample is another novelty of the paper. Previous works focused on a limited number of countries, whereas this research has considered firms operating in several European countries.

Family firms, firm characteristics, and corporate social performance

2015 ◽  
Vol 5 (2) ◽  
pp. 192-217 ◽  
Author(s):  
Michikazu Aoi ◽  
Shigeru Asaba ◽  
Keiichi Kubota ◽  
Hitoshi Takehara
Keyword(s):  
Manufacturing Industry ◽  
Family Firms ◽  
Corporate Social Performance ◽  
Social Performance ◽  
Retail Trade ◽  
Data Availability ◽  
Positive Role ◽  
Content Type ◽  
Pharmaceutical Industries ◽  
Corporate Social

Purpose – The purpose of this paper is to explore corporate social performance attained by listed family and non-family firms in Japan. They are measured by the composite CSP index and five attributes composed of employ relations, social contributions (SCs), firm security and product safety, internal governance and risk control, and environment concern. Design/methodology/approach – The authors employ univariate and regression analyses on the quantitatively aggregated CSP score data of Japanese firms from 2007 to 2009. Findings – Japan non-family firms tend to perform better than family firms in terms of attaining corporate social performance overall. Family CEOs positively affect CSP in the foods, textiles and apparels, and pharmaceutical industries as well as in retail trade, wholesale, and services industries, but negatively affect CSP in the heavy manufacturing industry. In these industries the joint effect of the percentage of family shareholdings and the fraction of family members on the board also augments the positive role played by family CEO. The findings are robust when the sample is ranked by Tobin’s q. Research limitations/implications – The observation period is short due to the data availability of CSP by Toyo Keizai Inc. This data covers all the listed firms which answered the questionnaire, which may also contain sample selection problems. Practical implications – Positive role of CEO and negative effects of shareholdings among listed family firms in Japan call for attention and corrective measures for top management and family shareholders. Social implications – While family firms in Japan may accumulate socioemotional wealth, they should exert more efforts to advance CSP and create social capital. Originality/value – This is the first comprehensive quantitative study in the field, which explored CSP of all the listed family firms vs non-family firms in Japan with large sample.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Mean reversion in corporate leverage: evidence from India

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee
Keyword(s):  
Capital Structure ◽  
Emerging Market ◽  
Simulated Data ◽  
Mean Reversion ◽  
Developed Countries ◽  
Data Sets ◽  
Debt Ratio ◽  
Testing Strategy ◽  
Content Type ◽  
Financing Behavior

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.

Determining the structure of pharmaceutical industry in Iran

2019 ◽  
Vol 13 (1) ◽  
pp. 101-115
Author(s):  
Sara Emamgholipour ◽  
Lotfali Agheli
Keyword(s):  
Pharmaceutical Industry ◽  
Economies Of Scale ◽  
Monopolistic Competition ◽  
Pharmaceutical Market ◽  
Data Availability ◽  
Market Demand ◽  
Firm Level ◽  
Content Type ◽  
Measure Concentration ◽  
Pharmaceutical Industries

Purpose As the pharmaceutical industry is one of the key sectors of the health-care system, the identification of its structure is of particular importance. This paper aims to determine the structure of the pharmaceutical industry in Iran to provide appropriate solutions for pricing and regulation by policymakers. Iran is a growing pharmaceutical market with over $4bn in sales, so the supply side needs to be examined to meet the domestic consumption. Design/methodology/approach This research is a descriptive and retrospective analytical study which examines the Iranian pharmaceutical industry through library studies and using pharmaceutical data of the country’s Food and Drug Administration during 1992-2016. Due to data availability in firm level, the concentration ratio of N leading firms and the Herfindahl–Hirschman index are used to measure the concentration of the pharmaceutical market in 2014 and 2016. Findings The results show that pharmaceutical manufacturing, importing companies and distributing companies play roles in monopolistic competition market, loose oligopoly market and oligopoly market, respectively. For all companies, the magnitudes of Herfindahl–Hirschman indices indicate non-competitive settings. As a result, these companies set their own prices, and market demand affects their sales. In addition, demand for medicines is shaped in the form of supply-induced demand. Research limitations/implications This research was accomplished with no computational limitation. However, it was confined to only one country, one industry and the mentioned period of study. Practical implications The pharmaceutical manufacturers have no influence on medicine prices, and government pricing regulations lessen the market power of such market agents. However, the easy entry to and exit from market stimulate producers to participate in manufacturing activities. The pharmaceutical importers may expand their imports in response to entry new actors; however, the new entrants weaken the coordination on pricing decisions. Social implications As pharmaceutical distributers act in an oligopoly market, they can collude, reduce competition and lower the welfare of pharmaceutical consumers. In such conditions, high investment requirements and economies of scale may discourage the entry of new firms. Originality/value Although there are various studies on market structure in non-pharmaceutical industries, this study is a new effort to measure concentration in the Iranian pharmaceutical market and to determine its structure.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

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