Government intervention and firm long-term bank debt: evidence from China

2018 ◽  
Vol 12 (2) ◽  
pp. 137-150
Author(s):  
Fei Liu ◽  
Chao Bian ◽  
Christopher Gan
Keyword(s):  
Government Intervention ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Law And Finance ◽  
Bank Debt ◽  
Firm Level ◽  
Content Type ◽  
Independent Judiciary ◽  
Substitution Mechanism

Purpose This paper aims to examine whether government intervention acts as a substitution mechanism for laws and institutions in affecting firms’ long-term debt financing decision and the moderating effect of firm ownership on the relationship between law and finance in Chinese capital market. Design/methodology/approach This study uses ordinary least squares with standard errors clustered at the firm level in the regressions. To address the potential endogeneity problem, the authors also use the system generalized method of moments in their estimation. Findings The results show that both long-term bank debt and long-term bank debt maturity structure ratios are positively related to government intervention. The results also reveal that with improvement in the legal environment, public non-state-owned firms have more access to long-term bank debt in the regions where the level of government intervention is low. Research limitations/implications Government intervention appears to replace laws and institutions in influencing the allocation of financial resources in China. Originality/value The finding suggests the necessity of increasing the protection of both creditors and investors, and shows the importance of a free and independent judiciary system in allocating funds to private firms. The results also imply that the non-state-owned Chinese firms also benefit from the improved laws and institutions.

Bank competition, government intervention and SME debt financing

2017 ◽  
Vol 7 (4) ◽  
pp. 478-492 ◽  
Author(s):  
Jianhua Du ◽  
Chao Bian ◽  
Christopher Gan
Keyword(s):  
Government Intervention ◽  
Generalized Method Of Moments ◽  
External Debt ◽  
Ordinary Least Squares ◽  
Debt Financing ◽  
Bank Loans ◽  
Bank Competition ◽  
Firm Level ◽  
Content Type ◽  
The Government

Purpose The purpose of this paper is to examine the effects of the government intervention and bank competition on small and medium enterprise (SME) external debt financing in Chinese capital market. Design/methodology/approach This study uses ordinary least squares with standard errors clustered at the firm level. In addition, the authors use the dynamic system generalized method of moments to address the possible endogeneity issue in the regressions. Findings Using a sample of 908 firms from 2000 to 2010, the authors found that SMEs are more likely to access bank loans only in regions with higher level of government intervention than median government intervention. Further, the result shows that the government is motivated to help SMEs to obtain more external debt in regions where the level of bank competition is lower than the median bank competition index. Last, the authors found evidence that firms with politically connected CEOs are likely to access bank loans. Research limitations/implications This paper highlights that government intervention enables the SMEs to secure more bank loans. Second, the authors’ results imply that the government is motivated to help SMEs to obtain more external debt in regions with low level of bank competition. Originality/value This study contributes to the current literature by revealing that government intervention is the driving force alleviating SMEs’ constraints in accessing external financing. Second, this study finds the evidence to supports the argument that government has a strong motive to help SMEs to secure long-term credits for political purpose (Fan et al., 2012), when the level of bank competition is low (Berger and Udell, 2006).

Determinants of SME growth

2016 ◽  
Vol 39 (9) ◽  
pp. 966-986 ◽  
Author(s):  
Habib Kachlami ◽  
Darush Yazdanfar
Keyword(s):  
Random Effects ◽  
Financial Institutions ◽  
Significant Influence ◽  
Fixed Effects ◽  
Explanatory Power ◽  
Ordinary Least Squares ◽  
Firm Level ◽  
Data Set ◽  
Content Type

Purpose The purpose of this paper is to study the firm-level financial variables affecting the growth of small and medium-sized enterprises (SMEs). Design/methodology/approach The study applies a resource-based view to analyze the firm-level as well as industry-level determinants of SME growth. Empirical evidence has also been provided from a data set of SMEs in Sweden to support the hypotheses. For a robust statistical analysis, three models – ordinary least squares (OLS) regression, random-effects regression and fixed-effects regression – are used to examine the influence of explanatory variables on growth. Findings The findings of this study show a positive and significant influence of profitability, short-term debt and size on a firm’s growth across all three models. Results regarding the influence of long-term debt on growth, however, are mixed. While the results of a fixed-effect model show the negative and significant influence of long-term debt on growth, the results according to OLS and random effects show long-term debt positively related to growth. Research limitations/implications This study has been conducted over a period of four years and in the context of Sweden which may limit the generalizability of its results for longer periods and for different contexts. Moreover, the low explanatory power of the models implies the need to also consider other types of variables, such as managerial or socio-economic variables, to better explain the determinants of SME growth. Practical implications Understanding the determinants of growth can be important for policy makers, SME managers and financial institutions. The findings of this study can be used for designing policies which stimulate SME growth. Realizing the financial resources that influence growth can also help SME managers and financial institutions to understand each other’s need for better cooperation. Originality/value This paper applies different models for analyzing large and cross-sectoral data regarding SME growth in the context of Sweden.

Exploring the nonlinear effect of size on profitability: evidence from an insurance brokerage industry in an emerging market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Richard Angelous Kotey ◽  
Richard Akomatey ◽  
Baah Aye Kusi
Keyword(s):  
Nonlinear Effect ◽  
Emerging Market ◽  
Empirical Studies ◽  
Random Effect ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Growth Strategies ◽  
Content Type ◽  
And Performance ◽  
Brokerage Firms

PurposeThis study examines the possible nonlinear effect of size on stakeholder and shareholder profitability in the Ghanaian insurance brokerage industry.Design/methodology/approachThis study employs a panel dataset of 64 Ghanaian insurance brokerage firms spanning 2011–2015. Static [ordinary least squares (OLS), fixed effect and random effect and dynamic (two-step generalized method of moments (GMM))] estimation techniques are employed to analyze the data.FindingsThe study finds the existence of both economies and diseconomies of scale and scope theories in the Ghanaian insurance brokerage industry confirming the existence of nonlinear nexus between size and performance. This finding is consistent for both stakeholder and shareholder profit performance. Thus, the results show that size improves profitability of insurance brokerage firms, but beyond a certain threshold, the relationship turns negative as size negatively affects profitability.Practical implicationsThe research findings have implications for both policy and research; the study recommends that Ghanaian brokerage managers should understand that not all growth is good and exercise a duty of care when applying growth strategies by monitoring size effect on performance so as not to go beyond the inflection point. Further research can be done to examine this effect in other contexts, timeframes and jurisdictions.Originality/valueThis research is unique in that it employs a panel dataset consisting of 96% of insurance brokerage firms in Ghana whilst employing both static and nonstatic regression models to examine the effect of size. The research analysis adopted is robust, and the findings are significant. Also, the lack of empirical studies on the operations and dealings of auxiliary institutions such as the insurance brokerage firms adds value to this research.

Contemporaneous or causal? Evaluating the triumvirate of insolvency risk, capitalization and efficiency in Indian commercial banking

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Navendu Prakash ◽  
Shveta Singh ◽  
Seema Sharma
Keyword(s):  
Cost Efficiency ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Commercial Banking ◽  
Seemingly Unrelated Regression ◽  
Bank Capital ◽  
Short Term ◽  
Content Type ◽  
Insolvency Risk

PurposeThis paper empirically examines the short-term and long-term associations between risk, capital and efficiency (R-C-E) in the Indian banking sector across 2008–2019 to answer the presence of causation or contemporaneousness in the R-C-E nexus.Design/methodology/approachThe paper focuses on three objectives. First, the authors determine short-term causality in the risk–efficiency relationship by studying the simultaneous influence of a wide array of banking risks on DEA-based technical and cost efficiency in static and dynamic situations. Second, the authors introduce bank capital and contemporaneously determine the interplay between R-C-E using seemingly unrelated regression equation (SURE) and three-staged least squares (3SLS). Last, the authors assess stability in inter-temporal associations using Granger causality in an autoregressive distributed lag (ARDL) generalized method of moments (GMM) framework.FindingsThe authors contend that high capital buffers reduce insolvency risk and increase bank stability. Technically efficient banks carry lesser equity buffers, suggesting a trade-off between capital and efficiency. However, capitalization makes banks more technically efficient but not cost-efficient, implying that over-capitalization creates cost inefficiencies, which, in line with the cost skimping hypothesis, forces banks to undertake risk. Concerning causal relationships, the authors conclude that inefficiency Granger-causes insolvency and increases bank risk. Further, steady increases in capital precede technical and cost efficiency improvements. The converse also holds as more efficient banks depict temporal increases in capitalization levels.Originality/valueThe paper is perhaps the first that acknowledges the influence of the “time” perspective on the R-C-E nexus in an emerging economy and advocates that prudential regulations must focus on short-term and long-term intricacies among the triumvirate to foster a stable banking environment.

The ascension of executives' tenure, corporate risk-taking and corporate performance: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Osama F. Atayah ◽  
Khakan Najaf ◽  
Ravichandran K. Subramaniam ◽  
Phaik Nie Chin
Keyword(s):  
Risk Taking ◽  
Corporate Performance ◽  
Stock Exchange ◽  
Generalized Method Of Moments ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Executive Management ◽  
Content Type ◽  
Top Executives ◽  
Corporate Risk

PurposeThis study aims to investigate the implication of top executives’ number of years of experience (tenure) on corporate risk-taking behaviour and corporate performance in Malaysian corporations.Design/methodology/approachTo test the hypothesis efficiently, the authors have extracted the data from Bloomberg for 788 listed companies of the Malaysian Stock Exchange. The methodology entails ordinary least squares regressions, quantile regression and dynamic system generalized method of moments model.FindingsFirst, the authors show that executive management tenure has a significant negative relationship with corporate risk-taking. It means that the long-tenured executives tend to undertake less risky strategies and decisions. Second, this study reveals that the longer executive management tenure has a positive relationship with corporate performance. Third, the moderating effect of corporate risk-taking with executive tenure (Tenure dummy*Risk) has a negative relationship with the corporate performance by 1%.Practical implicationsIt implies that the appointment of experienced executive management contributes towards corporate performance directly. However, experienced management trends take less risk, which eventually results in mitigating the corporate performance. On that basis, the findings are significant in highlighting the usefulness of executive leadership term and offers insights to academics, practitioners and policymakers.Originality/valueThis paper is novel since it is unique in evaluating the executive tenure and the preferences to handle risk strategies and how that impact the firm performance.

scholarly journals Impact of COVID-19 on the trade of goods and services in Spain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Asier Minondo
Keyword(s):  
Negative Impact ◽  
The European Union ◽  
Firm Level ◽  
Health Crisis ◽  
Content Type ◽  
Goods And Services ◽  
Containment Measures ◽  
Trade Of Services ◽  
The Impact

Purpose This paper aims to analyze the impact of COVID-19 on the trade of goods and services in Spain. Design/methodology/approach This paper uses monthly trade data at the product, region and firm level. Findings The COVID-19 crisis has led to the sharpest collapse in the Spanish trade of goods and services in recent decades. The containment measures adopted to arrest the spread of the virus have caused an especially intense fall of trade in services. The large share of transport equipment, capital goods, products that are consumed outdoors (i.e., outdoor goods) and tourism in Spanish exports has made the COVID-19 trade crisis more intense in Spain than in the rest of the European Union. Practical implications The nature of the collapse suggests that trade in goods can recover swiftly when the health crisis ends. However, COVID-19 may have a long-term negative impact on the trade of services that rely on the movement of people. Originality/value It contributes to understand how COVID-19 has affected the trade in goods and services in Spain.

Economic complexity and price competitiveness dependence: empirical evidence using panel models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme Magacho ◽  
Rafael Ribeiro ◽  
Igor Rocha
Keyword(s):  
Exchange Rate ◽  
Generalized Method Of Moments ◽  
Output Growth ◽  
The Other ◽  
Content Type ◽  
Price Competitiveness ◽  
Economic Complexity ◽  
Other Hand ◽  
The Impact

Purpose As economies with high economic complexity and productive capabilities may easily adapt their productive structure due to product differentiation and innovation, the central variable of competitiveness for these countries is the product quality, not price. On the other hand, the price can be an important determinant of less complex countries, and hence, real exchange rate (RER) misalignments may have long-term impacts. This paper aims to empirically assess variations in the magnitude of the impact in RER misalignments on output growth subject to countries’ economic complexity. Design/methodology/approach The estimation technique used is the generalized method of moments-System estimator as this method is robust to reverse causality. Heterogeneous regressions using interaction models are undertaken to analyze to what extend promoting economic complexity can reduce price competitiveness dependence and allow countries to grow faster without relying on cost competitiveness. Findings Estimates show that economic complexity (which measures technological and productive capabilities) determines cross-country differences regarding the effects of RER misalignments on countries’ long-term growth rates. The results suggest that exchange rate devaluations may not be effective for countries at the top end of the technological ladder while an overvalued RER may damage the long-term growth rate of countries with low levels of economic complexity. Originality/value This paper contributes to the literature by empirically investigating the impact of RER misalignments in countries with distinct technological and productive capabilities based on the recent developments of countries’ economic complexity analysis. It investigates whether more diversified and complex economies are less sensitive to RER misalignments as they can adapt their production, undertake other tasks, create new products and increase the quality of products they produce. Less complex economies, on the other hand, are less capable of innovating because it demands productive capabilities they do not have, and hence, they are more dependent on their current export basket.

The impact of gender inequality in education and employment on economic performance in Turkey: evidence from a cointegration approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ömer Esen ◽  
Gamze Yıldız Seren
Keyword(s):  
Least Squares ◽  
Economic Performance ◽  
Ordinary Least Squares ◽  
Estimation Methods ◽  
Content Type ◽  
Cointegration Tests ◽  
Johansen Cointegration ◽  
Education And Employment ◽  
The Impact

PurposeThis study aims to empirically examine the impact of gender-based inequalities in both education and employment on economic performance using the dataset of Turkey for the period 1975–2018.Design/methodology/approachThis study employs Johansen cointegration tests to analyze the existence of a long-term relation among variables. Furthermore, dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) estimation methods are performed to determine the long-run coefficients.FindingsThe findings from the Johansen cointegration analysis confirm that there is a long-term cointegration relation between variables. Moreover, DOLS and FMOLS results reveal that improvements in gender equality in both education and employment have a strong and significant impact on real gross domestic product (GDP) per capita in the long term.Originality/valueThe authors expect that this study will make remarkable contributions to the future academic studies and policy implementation, as it examines the relation among the variables by including the school life expectancy from primary to tertiary based on the gender parity index (GPI), the gross enrollment ratio from primary to tertiary based on GPI and the ratio of female to male labor force participation (FMLFP) rate.

Operational efficiency effects of blockchain technology implementation in firms

2020 ◽  
Vol 30 (2) ◽  
pp. 163-181
Author(s):  
Mohammad Raihanul Hasan ◽  
Deng Shiming ◽  
Mollah Aminul Islam ◽  
Muhammed Zakir Hossain
Keyword(s):  
Technology Implementation ◽  
Generalized Method Of Moments ◽  
Stochastic Frontier ◽  
Maximum Level ◽  
Ordinary Least Squares ◽  
Operational Efficiency ◽  
Stock Exchanges ◽  
Content Type ◽  
Blockchain Technology ◽  
Stochastic Frontier Estimation

Purpose The purpose of this study is to evaluate the effect of blockchain technology on firms’ operational efficiency in the context of China. Design/methodology/approach The authors use panel data for blockchain-based companies listed on stock exchanges in China (Shanghai, Shenzhen and Hong Kong) between 2014 and 2018. The operational efficiency of firms that deploy blockchain technology is evaluated using ordinary least squares and system generalized method of moments estimation. Findings Results suggest that companies’ current year performance exceeds the previous year performance because of blockchain deployment in firms’ operations. Firms with higher financial leverage and return on assets reap more benefits from blockchain. Larger and older firms benefit less from blockchain implementation. Stochastic frontier estimation suggests that, on average, firms attain a 57.76 per cent technical efficiency level, or, put differently, they operate 42.24 per cent below their maximum level of potential output. Originality/value Blockchain can benefit firms in terms of consensus, security and trust, spurring the evolution of a new form of organizational dynamics. This study explores the theory of transactional cost analysis under blockchain technology. In addition, this study hypothesizes and empirically demonstrates the significant impacts of blockchain technology on corporations’ operational efficiency, using audited, externally reported financial data. Industry professionals can reap benefits from this research by noticing the magnitude of changes in firms’ financial parameters attributable to blockchain adoption.

Industry 4.0 and clusters: complementaries or substitutes in firm’s knowledge creation?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nils Grashof ◽  
Alexander Kopka ◽  
Colin Wessendorf ◽  
Dirk Fornahl
Keyword(s):  
Industry 4.0 ◽  
Substitution Effect ◽  
Interaction Effects ◽  
Ordinary Least Squares ◽  
Knowledge Generation ◽  
Firm Level ◽  
Cluster Theory ◽  
Content Type ◽  
Industrial Iot ◽  
Key Enabling Technologies

Purpose This paper aims to show the interaction effects between clusters and cluster-specific attributes and the industrial internet of things (IoT) knowledge of a firm on the innovativeness of firms. Cluster theory and the concept of key enabling technologies are linked to test their effect on a firm’s incremental and radical knowledge generation. Design/methodology/approach Quantitative approach at the firm-level. By combining several data sources (e.g. ORBIS, PATSTAT and German subsidy catalogue) the paper relies on a unique database encompassing 8,347 firms in Germany. Ordinary least squares (OLS)-regression techniques are used for data analysis. Findings Industrial IoT is an important driver of radical patents, mediated positively by firm size. For incremental knowledge, a substitution effect occurs between a cluster and IoT effects, which is bigger for larger firms and dependent on cluster attributes and firms’ outside connections. Research limitations/implications The paper opens up new research paths considering long-term disruptive effects of the industrial IoT compared to short-term effects on the innovativeness of firms within clusters. Additionally, it enables further research enriching the discussion about cluster attributes and how these affect ongoing processes. Practical implications Linking cluster theory and policy with Industry 4.0 raises awareness for being considerate in terms of funding and scrutinising one-size-fits-all approaches. Originality/value Connecting the concepts of a cluster and advanced manufacturing technologies as a proxy for industrial IoT, specifically focussing on both radical and incremental innovations is a new approach. Especially, taking into account the interaction effects between cluster attributes and the influence of industrial IoT on the innovativeness of firms.

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