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Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

This paper focused on financial constraints scenario and tax planning activities of banks in Ghana. The study explores how financial constraints could motivate the banks to pursue tax planning mechanism and the implication on tax revenue mobilisation.

The paper followed generalised method of moments and fixed effect estimators to investigate the financial constrained-tax planning activity nexus. Simulation approach is adopted to provide financially constrained bank scenario. Besides contemporaneous analysis, sensitivity analysis is conducted to determine time varying effect. Data from all the 20 commercial banks which have operated from 2008 to 2018 were used.

The paper found that when banks are faced with financial constraints, they exhibit lower cash-effective-tax-rate. The decomposition analysis also revealed that financially constrained banks are likely to take on both short- and long-term tax planning opportunities. The paper also found evidence of persistence in the tax planning activities under financial constrained scenario.

This paper is one of the few studies which have extended the tax planning literature to the Ghanaian banking sector. Further novelty is seen from the development of financial constraint scenario from liquidity and solvency. Liquidity and solvency are the anchors for continuity of banking operation and sensitive to regulatory watch and sanctions. Therefore, by applying simulation approach to trigger financial constraints scenarios from these fundamental indicators reveals the extent to which commercial banks rely on tax planning opportunities to mitigate the consequence of financial constraints.

The purpose of this paper is to examine the multiplier effects of the grain subsidy program in China, which is a large food self-sufficiency project that is implemented as a cash transfer program. Income multiplier effects have not been empirically examined in the evaluation of the grain subsidy program although increasing the income of farmers is the original goal of this project.

A large number of household-level observations are employed to measure the program’s income multiplier. An unrestricted model was first employed to measure the multipliers in a period of two years, and the difference was evaluated. Then, the income promotion effects of grain subsidy on various income sources for each specific subset of the population, such as liquidity conditions and household characteristics, were estimated.

The results show that the grain subsidy program has a high income multiplier, and the income promotion effect of the transferred subsidies is from agricultural production derived by intensifying input for each unit of land. The multiplier effect of the grain subsidy program as a cash transfer program can be interpreted as the shadow value of relaxing liquidity constraints and could be particularly utilized by households with more farming land and farmers in less developed regions in China. Hence, to maximize the income multiplier effect, the grain subsidy distribution method should consider these criteria instead of retaining the prevalent standard that is based on contracted land areas.

This study addresses the gap that the effect of China’s grain subsidy program on income increment has not been empirically examined in nation wide.

Volume-based liquidity ratios suffer from potential measurement bias due to share restriction and may misrepresent actual liquidity. To address this issue, the authors develop two modified metrics, the free-float liquidity and the alternative free-float illiquidity ratios. These measures are well suited to estimate liquidity in the presence of trading constraints, as can be found in closely held/state-owned entities, IPOs/SEOs with lockup restrictions, dual-class share structures and family-owned businesses.

The authors modify the turnover illiquidity ratio, where the number of outstanding shares is scaled by the public free float, and use natural log transformation to normalize free-float liquidity. Our dataset is composed of daily observations for US stocks included in the S&P 500 index over the 2015–2018 period. To test the validity of free-float (il)liquidity ratios, the authors perform a correlation analysis for various liquidity metrics. To examine their empirical efficiency, the authors employ pooled OLS regression models for family firms as a subsample of liquidity-constrained entities, relying on five different identifiers of family-owned businesses.

The authors’ empirical testing indicates that the proposed free-float (il)liquidity ratios compare favorably with other volume-based methods, such as Amihud's ratio, liquidity ratio and turnover ratio. For the subsample of family organizations as a restricted-share setting, the authors report significant coefficients for our free-float measures across all the family firm identifiers used. In particular, as free-float decreases with progressive family influence, the advanced ratios capture an increase (decrease) in perceived liquidity (illiquidity) that is absent in the other benchmarks.

This study allows the authors to inform the ongoing debate on the management and governance of publicly listed companies with various impediments to trade. Traditional measures understate illiquidity (overstate liquidity) as the fraction of free trading shares is limited by design or circumstances. The authors’ proposed free-float metrics offer informational gains for family leaders to aid in their financing decisions and for non-family outsiders to guide their investment choice. As a constrained free float inhibits price discovery processes, the authors discuss how restricted stock issuers may alleviate the attendant negative effects on governance and information opacity.

This study investigates the pricing decisions of the UK wholesale and retail food, beverages and tobacco sector over 2007–2016 using 19 four-digit level NACE Rev.2 classification industries.

The Hall (1988) and Roeger (1995) model is employed to estimate the price-cost margin for the aggregate sector and each constituent industry.

The results suggest the presence of weak imperfect competitive conduct as the markup value is close to perfect competition. Moreover, it is found that industries with higher market share and liquidity reserves tend to charge a lower markup, validating the presence of price wars and competitive incentives in the sector.

This paper contributes to the literature of pricing decisions and how access to available liquidity may affect the selling price of products. The pricing strategies also depend on the market structure as firms operating in more competitive sectors may start price wars more often than their counterparts in more concentrated sectors. Therefore, this study adds value to the investigation of pricing decisions under liquidity constraints across the UK wholesale and retail food, beverages and tobacco firms.

On the basis of principal-agent and financing constraints theories, the purpose of this paper is to construct a unified research framework via mathematical models and to provide a logical and consistent explanation of the contradictory discovery of the relationship between dividend payment and I-CFO in the previous literature.

Establishing the economic mathematical models, this paper uses the comparative static analysis to figure out the equilibrium results, to further testify the conclusions, the authors initiate the empirical tests to make the discussion more realistic.

The authors observe that overinvestment caused by agency problems is the primary reason for I-C sensitivity when the investment expenditure is less than the internal capital; dividend payout suppresses the overinvestment caused by the agency problem, thus alleviating the investment’s dependence on the internal capital. However, underinvestment caused by the financing constraints is the primary cause of I-C sensitivity when the investment expenditure is greater than the internal capital. The payment of cash dividends increases the investment shortage caused by the financing constraints, thus increasing the sensitivity. Further, the authors explore the impact of dividend payments on I-CFO sensitivity. They argue that dividend payment is not an appropriate measure of financing constraints. Both I-CFO sensitivity and I-C sensitivity are functions of agency cost and information cost.

This study provides a logical and consistent explanation of the contradictory discovery of the relationship between dividend payment and I-CFO in the previous literature and provides a clear framework and reference for future studies on the impact of financial constraints, agency cost on the investment’s dependence on the internal capital.

The theoretical model of this paper supports this differentiated mandatory dividend policy and provides reference and evidence for China's financing policies and dividend distribution policies.

This study theoretically and empirically analyzes and verifies the roles of agency cost and financial constraints on the determinants of I-C sensitivity for the first time. First, different from earlier literature, this paper puts forward I-C sensitivity as a new measure of investment’s dependence on internal capital, making the measurement more accurate. In the case of a firm with positive liquidity reserves, using the I-CFO sensitivity as a measure of external financing constraints could overestimate the firm’s financial constraints. Second, by constructing an economic static analysis framework, this study analyzes how I-C and I-CFO sensitivities change with the agency cost, the financing constraints and the dividend payment ratio. The research provides a basic framework and explanation on the contradictions of the earlier literature. The results are supposed to serve as a foundation for estimations of investment’s dependence on internal capital and should be embedded in general empirical tests in future research.

The purpose of this paper is to study the production and efficiency of rice growers in drought prone areas with special attention given to economic and financial factors.

The authors use a parametric stochastic frontier approach and a non-parametric data envelopment analysis.

The study found that financial and liquidity constraints negatively influence production efficiency while off-farm work positively influences efficiency in drought prone areas.

Many biotic and abiotic factors affect the production efficiency of rice growers. Among abiotic stress, drought is the strongest constraint affecting nearly one third of the total rice area in Asia and causing significant economic losses. Farmers’ economic conditions and financial constraints further exacerbate the situation. However, very few studies have analyzed the efficiency in drought prone areas and the influence of economic and financial factors. This study contributes to in this regard by augmenting economic and financial factors in the efficiency estimation of drought prone areas using parametric and non-parametric approach.

The purpose of this paper is to determine if there are positive microeconomic effects from a state‐funded loan participation program on farm productivity and investment behavior.

The authors take the approach that access to credit solves a liquidity problem. If a credit constraint exists it results in a suboptimal allocation of resources and a reduction in farm output and profitability. A two‐stage regression model approach is used to analyze farmer survey and loan application data. In the first stage, a probit regression model is used to identify the farmers who are likely to be credit rationed. In the second stage, switching regression models are used to observe the effect of credit rationing on farm productivity and on farm investment behavior.

It is found that there are liquidity effects of credit constraints for a significant share of the beginning and low‐resource farmers who participated in the state‐funded farm loan program. After controlling for various farm and farmer characteristics, the estimated productivity and investment demand equations imply that a 1 percent increase in credit received by credit constrained farmers under the state program increased their gross income by about 0.49 percent, and their investments in depreciable assets by about 0.33 percent.

This paper is the first to apply the switching regression model to a state‐funded farm loan program for the purpose of evaluating the financial impacts on farmer participants.

In view of the recent enhanced concerns of the SEC and PCAOB that Accounting Principles Board Opinion No. 23 (APB 23)–asserting firms do not comply with the “sufficient evidence” criteria of APB 23, we examine whether APB 23–asserting firms that declared their foreign earnings as permanently reinvested abroad are less likely to repatriate those foreign earnings under the American Jobs Creation Act (AJCA) of 2004, compared with similar non-asserting firms. The asserting firms are required to disclose sufficient evidence that validates an ability to meet their domestic cash needs with only earnings generated in the United States and their plans to indefinitely reinvest foreign earnings outside the United States. Estimates show that asserting firms are more likely to repatriate their foreign earnings than non-asserting firms. In addition, we find that the probability of making an election to repatriate permanently invested foreign earnings under the AJCA of 2004 is higher for firms with nonbinding foreign tax credit (FTC) limitations that have made an APB 23 declaration to permanently invest foreign earnings abroad. These findings suggest that asserting firms’ declarations to indefinitely reinvest foreign earnings abroad are not well grounded, thereby indirectly validating the SEC’s and PCAOB’s increased scrutiny for supporting evidence for APB 23 assertion. The estimates also show that the likelihood of making an election to repatriate foreign earnings under the AJCA of 2004 increases with asserting firms’ liquidity constraints and financial distress: the financial characteristics listed as part of APB 23 criteria of sufficient evidence and highlighted by the SEC and PCAOB comment letters, indicating that asserting firms raid permanently reinvested foreign earnings to satisfy their financial needs and constraints.