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This paper investigates the effect of abnormal increase in credit supply on economic growth in Nigeria after controlling for the quality of the legal system, size of central bank asset, banking sector cost efficiency and bank insolvency risk.

The authors employ the generalised method of moments (GMM) regression methodology to estimate the effect of abnormal increase in credit supply on two measures of economic growth in Nigeria.

The abnormal increase in credit supply has a significant effect on economic growth. Abnormal increase in credit supply increases real gross domestic product (GDP) growth. The abnormal increase in credit supply decreases real GDP per capita during the global financial crisis. The abnormal increase in domestic credit to the private sector has a significant positive effect on GDP per capita when there is strong legal system quality in Nigeria. In contrast, the abnormal increase in domestic credit to the private sector has a significant negative effect on real GDP growth when there is strong legal system quality in Nigeria.

The abnormal increase in credit supply is ineffective in increasing GDP per capita during crisis years. Policymakers should be cautious in pressuring financial institutions to release an abnormally large amount of credit into the economy particularly during financial crises. Rather, policymakers should encourage financial institutions to supply credit in a sustained manner – not in an abnormal manner –and in a way that supports growth.

The present study contributes to the literature by analysing the effect of abnormal increase in credit supply on economic growth in a developing country context.

The purpose of this paper is to investigate the relevance of credit supply for corporate capital structure decisions of manufacturing firms in Pakistan.

The implicit assumption in much of the work on capital structure is that for a firm, the availability of incremental capital depends solely on its characteristics. However, the capital market frictions suggest that suppliers of credit may also affect firms’ ability to borrow. The authors investigated this intuition by employing dynamic panel data estimators using 8,984 firm-year observations for the period 1990-2010.

The results show that short-term debt is a major source of financing in these firms. Further, credit supply plays a significant role in these firms’ capital structure decisions and hence, they increase their short-term debt (main financing source) with an increase in credit supply in the market while payoff their long-term debt with internal funds.

The findings of this study can enhance the practitioners’ and analysts’ understanding of capital structure of manufacturing firms in a bank dominated financial system, like Pakistan. Also, it can provide them more insight in understanding the alternative choices of financing and the reasons why firms prefer one over the other.

To the authors’ best knowledge, this is the first study in Pakistan that considers both supply-side as well as demand-side factors of capital structure and applies dynamic panel data techniques.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

This paper presents an empirical analysis of trade credit supplied by Japanese manufacturing firms and General Trading Companies. After reviewing major trade credit models and relevant Japanese literature, empirical tests examine the applicability of existing trade credit theories. Results indicate existing trade credit theory has little power to explain the level of trade credit supplied by Japanese firms. Instead, support is found for the information and risk sharing models in the Japanese keiretsu literature and the financial channeling process by which lending institutions supply General Trading Companies with liquidity that is, in turn, supplied to manufacturing firms.

Using a sample of manufacturing firms listed in China between 2007 and 2019, first, this paper aims to examine whether peer firms influence corporate trade credit supply. Next, the authors examine the channels through which peer firms influence corporate trade credit supply by testing the predictions of rivalry and information theories. Furthermore, the authors examine the heterogeneity of the industry peer effect on corporate trade credit supply. Finally, the authors examine the economic consequences of the industry peer effect on corporate trade credit supply.

The sample includes all manufacturing firms listed on both the Shanghai and Shenzhen securities exchanges for the sample period from 2007 to 2019, and the data come from the China Stock Market & Accounting Research database. The authors use the fixed effects method to examine the industry peer effect on trade credit supply. The results are robust to a series of robustness tests. To address the potential endogeneity problem, the authors adopt appropriate instruments by estimating instrumental variable models (two-stage least square). The authors use Heckman’s two-stage model to mitigate the sample selection bias.

The authors provide strong empirical evidence showing that the industry peer effect on trade credit supply exists in the manufacturing sector. It is also found that both competitive rivalry-based and information-based theories can provide explanations of the industry peer effect on trade credit supply. This process is both active imitation and passive reaction. Additional analysis suggests that the industry peer effect on trade credit supply is more pronounced for state-owned firms, firms with low customer concentration and firms with high geographical proximity. The amplification effect and spillover effect are the economic consequences of the industry peer effect on trade credit supply. In other words, the trade credit supply based on peer effect will not only increase the liquidity risk of the firm per se but also induce and increase the liquidity risk of the industry.

The study makes some important contributions. First, the authors find robust evidence that peer firms’ trade credit supply is an important factor in explaining corporate trade credit supply, which extends the literature by connecting the firm’s trade credit supply with the peer effect. Second, the study provides a new micro-perspective for understanding that firms use trade credit supply as a tool of competition, which proves the importance of rivals’ decision-making as a determinant of corporate decisions. Third, the authors examine the industry peer effect on trade credit supply, which not only helps to guide firms to pay more attention to the potential risk and spillover effects of the trade credit supply decision-making relevance but also helps to clarify the industry interaction phenomenon of corporate decision-making behavior. It is an important practical significance to play a role as a bridge between the microlevel of the firm and the meso-level of the industry. Finally, the study provides inspiration for the formulation of industry norms and policies.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

The purpose of this study is to examine trade credit from agrochemical vendors as an alternative source of finance for cabbage producers in the Bono East Region of Ghana. The determinants of trade credit supply and impact on cabbage producer’s profitability are investigated.

The study sample size is 260. The perception index, probit regression, negative binomial regression and the propensity score matching (PSM) was employed to assess the perception of trade credit, factors influencing trade credit supply and the impact of trade credit supply on the cabbage producer’s profitability and agrochemical vendor’s welfare respectively.

The perception index analysis revealed that the agrochemical vendors, in general, had a positive perception of trade credit. Different groups of factors influence trade credit supply. Further along, the number of times trade credit was used by the cabbage producers was influenced by several factors. On the PSM result, trade credit use had a significant positive impact on the cabbage producer’s profitability. In detail, all the matching estimations revealed that profitability increased above Gh¢ 4,000.00 (US$ 692.04). Likewise, the robustness check result (Inverse Probability Weighted Regression Adjustment (IPWRA)), was no different from the matching estimations. Generally, the result indicates that the impact of trade credit supply on the agrochemical vendor's welfare using total household expenditure, total savings and income as proxy variables for welfare were positive.

Trade credit has encountered less attention in the agricultural finance discourse; however, this study makes an imperative contribution on the same. Specifically, the study reveals the determinants of trade credit supply from agrochemical vendors and a positive impact of trade credit use on the cabbage producer’s profitability, a result which has not been investigated in the trade credit literature.

The purpose of this paper is to study the influence of investor sentiment on the supply of trade credit, and further explores the difference of the effect of investor sentiment on the supply of trade credit in the environment of strong market competition and weak market competition.

The authors use panel estimation techniques to examine the impact of investor sentiment in the Chinese securities market on the supply of corporate trade credit.

This paper finds that investor sentiment has positive impact on trade credit through three channels of motivation, willingness and ability. At the same time, this paper finds that investor sentiment has stronger impact on enterprises in strong market competition than enterprises in weak market competition.

This paper expands the research on the influence of virtual economy on the real economy, analyzes the difference of the influence of investor sentiment on the supply of trade credit under different market competition conditions.

The paper perfects the mechanism of trade credit decision-making at this stage, and provides more evidence for the virtual economy to act on the real economy.

This paper provides a theoretical basis for the government functional departments to use the investor sentiment to play a positive role in trade credit to improve the market competition and guide the development of China’s capital market in the direction of rationalization and health.

In combination with market competition environment and industry characteristics, this paper investigates external irrational factors and studies how investor sentiment affects trade credit supply.

The objective of this study is to investigate the relationship between trade credit supply and financial distress outcomes, considering the role that trade credit plays as a substantial source of liquidity for distressed companies. Specifically, it examines whether there is an association between trade credit supply and the outcomes experienced by companies that undergo the voluntary administration (VA) insolvency procedure under Australian corporate law.

The study examines a sample of companies that were listed on the Australian Securities Exchange and entered VA between 2002 and 2019. Ordered logistic regression is used to determine the relation between trade credit and VA outcomes. The VA outcomes considered are as follows: (1) company liquidation, (2) orderly dissolution through an agreement with creditors, or (3) an agreement with creditors for reorganization of all or part of the company's business.

The findings show that trade creditors' willingness to supply credit is influenced by their rational expectations about the future prospects of financially distressed customers. Higher levels of trade credit and an increase in trade credit supply prior to VA are associated with a greater probability of achieving a reorganization versus a liquidation or dissolution outcome.

There is no apparent prior study investigating the connection between trade credit supply and outcomes for distressed companies entering insolvency administration. Therefore, this study provides novel evidence on the role of trade credit in the context of financial distress. Understanding the relationship between trade credit supply and outcomes is particularly significant considering that many jurisdictions offer distressed companies the opportunity to pursue reorganization under their insolvency laws. Examining financial distress and trade credit in the Australian creditor-friendly context expands on existing research. Prior research has predominantly relied on data from the United States, which has debtor-friendly bankruptcy law. Consequently, these studies may lack generalizability to jurisdictions with creditor-friendly law such as Australia.

The purpose of this paper is to explore the impact of the credit expansion in 2009 and 2010 in China on the capital structure of listed real estate companies.

Chinese listed real estate companies are divided into two groups, state-owned and non-state-owned, because their access to credit markets have different priority to state-owned banks that dominate bank lending. The difference-in-differences approach is employed to test the impact of changes in leverage ratios and loan ratios before and after the credit expansion period in state-owned firms and non-state-owned firms.

Using quarterly panel regressions, the authors find that during the credit expansion period, state-owned companies exhibit a relatively greater increase in leverage ratios than non-state-owned firms. State-owned firms have greater increases in book leverage ratios, market leverage ratios and long-term debt ratios by 5.2, 4.9 and 1.1 per cent, respectively. It is also shown that loan ratios have increased more in state-owned firms than non-state-owned firms during the credit expansion period.

The paper explores only the impacts of credit expansion on capital structure of listed real estate firms in China. Further studies can be conducted to investigate the impact of credit supply on corporate investment decisions of real estate firms and on real estate markets.

The findings can help explain the surge in land and housing prices after 2008 in China. Deng et al. (2015) find that state-owned real estate firms paid more for land price than non-state-owned firms, which contributed to upward pressure on housing prices. This paper shows that such “over-investment” may be due to the increase of debt financing and availability of bank loans to real estate firms. Thus the credit market can affect real estate markets through debt financing at company level.

This paper is the first to investigate the impact of credit supply on capital structure of real estate companies, and presents evidence of the importance of credit supply as a determinant of capital structure.