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The purpose of this paper is to investigate contract farming in China, using vegetable production as a case. Specifically, the authors analyze farmers' contract decisions for different types of contracts, their contract compliance behaviors, and their profitability affected by the contracts both analytically and empirically.

The authors assume growers with alternative risk preferences make the contract decisions to maximize their expected utilities, under exogenous market price risks and contract terms determined by the processor or wholesaler. Both fixed price and floating price contracts are analyzed. Two surveys of 185 and 85 farm households, respectively, are obtained in Shandong province in 2010, and econometric analyses with both Logit and least square regressions are conducted.

The results indicate that the determining factors for contract farming are related to farmers' risk attitude, gender, yield, farm size and labor availability. However, contrary to the common belief that contracts are a risk management tool for risk averse farmers, the risk lovers tend to use contract farming instead of risk averters. Female household heads and farms with more labors tend not to use contracts, but larger farms with more acreage are more likely to contract. These suggest Chinese farmers' primary motivation of contracting is not market price risk management, but rather seeking better offers and marketing transaction cost reduction.

The authors believe that this is the first econometric study to analyze contract farming allowing different types of contracts in China. The scenarios include cases without contracts, with fixed price contracts, and with floating price contracts, where the contract price changes to reflect the market price, a very unique yet popular situation in China. Each of the cases is also considered under the situation whether default is possible.

In mid-June 2000, MicroStrategy CEO Michael Saylor is considering an investment of $125 million of convertible preferred stock in his firm by a group of private investors including Citadel Investment Group LLC. The offer comes at a difficult time for the company, because only three months earlier, its stock had reached a record price of $300 per share. At that point, the company had registered a $1 billion seasoned equity offering. Shortly thereafter, the company was forced to restate its earnings after running afoul of the SEC for its revenue-recognition practices. Although the restatement did not change the company's cash-flow position, it did result in an SEC investigation and the cancellation of the stock offering. In order to meet Saylor's ambitious plans for MicroStrategy, additional funding must be obtained. With public-market funding sources shut off, students must evaluate what the best course of action is for the firm at this moment. Students are asked to evaluate a new form of venture financing called private investments in public enterprises (PIPE). PIPEs differ from conventional floating-rate convertibles in that the conversion price in most cases can only be adjusted downward. The case considers both the pros and cons of these investments.

Examines attitudes to the marketing management of exports. Analyses the results of a survey of export marketing policies in medium‐sized manufacturing companies in the North of England. Stresses the importance of having a structured export policy as part of an overall business plan. Discusses various methods of capturing market data on exports, including Government statistics and trade association reports. Identifies key areas of a coherent export marketing plan – market factors, volume factors, company factors and marketing factors. Examines the differences in characteristics and policies adapted by active and reactive exporters. Outlines the merits of a variety of export pricing and invoicing methods. Concludes that companies must adapt export strategies and theories to suit their own individual needs, rather than accept an industry‐wide export programme.

In this chapter, we define the “inflation forward rates” based on arbitrage arguments and develop a dynamic model for the term structure of inflation forward rates. This new model can serve as a framework for specific no-arbitrage models, including the popular practitioners’ market model and all models based on “foreign currency analogy.” With our rebuilt market model, we can price inflation caplets, floorlets, and swaptions with the Black formula for displaced-diffusion processes, and thus can quote these derivatives using “implied Black's volatilities.” The rebuilt market model also serves as a proper platform for developing models to manage volatility smile risks.

Through this chapter, we hope to correct two major flaws in existing models or with the current practices. First, a consumer price index has no volatility, so models based on the diffusion of the index are essentially wrong. Second, the differentiation of models based on zero-coupon inflation-indexed swaps and models based on year-on-year inflation-indexed swaps is unnecessary, and the use of “convexity adjustment,” a common practice to bridge models that are based on the two kinds of swaps, is redundant.

This paper provides a structural model to value startup companies and determine the optimal level of research and development (R&D) spending by these companies.

This paper describes a new variant of float-the-money options, which can act as a financial instrument for financing R&D expenses for a specific time horizon or development stage, allowing the investor to share in the startup's value appreciation over that duration. Another innovation of this paper is that it develops a structural model for evaluating optimal level of R&D spending over a given time horizon. The paper deploys the Gompertz-Cox model for the R&D project outcomes, which facilitates investigation of how increased level of R&D input can enhance the company's value growth.

The author first introduces a time-varying drift term into standard Black-Scholes model to account for the varying growth rates of the startup at different stages, and the author interprets venture capital's investment in the startup as a “float-the-money” option. The author then incorporates the probabilities of startup failures at multiple stages into their financial valuation. The author gets a closed-form pricing formula for the contingent option of value appreciation. Finally, the author utilizes Cox proportional hazards model to analyze the optimal level of R&D input that maximizes the return on investment.

The integrated contingent claims model links the change in the financial valuation of startups with the incremental R&D spending. The Gompertz-Cox contingency model for R&D success rate is used to quantify the optimal level of R&D input. This model assumption may be simplistic, but nevertheless illustrative.

Once supplemented with actual transaction data, the model can serve as a reference benchmark valuation of new project deals and previously invested projects seeking exit.

The integrated structural model can potentially have much wider applications beyond valuation of startup companies. For instance, in valuing a company's risk management, the level of R&D spending in the model can be replaced by the company's budget for risk management. As another promising application, in evaluating a country's economic growth rate in the face of rising climate risks, the level of R&D spending in this paper can be replaced by a country's investment in addressing climate risks.

This paper is the first to develop an integrated valuation model for startups by combining the real-world R&D project contingencies with risk-neutral valuation of the potential payoffs.

Long-term contract is an important developing direction of China's coal industry coordination. This paper aims to discuss how to use contract for difference (CFD) to avoid risk and effectively increase the benefit of both coal and thermal power plants in the coal-electricity supply chain.

Based on prospect theory, this paper takes the risks and benefits of the coal and coal-fired power plants in the coal supply chain under CFD into balanced consideration to construct the contract coordination mechanism. In this mechanism, the coal demand in the coal supply chain equilibrium under centralized decision-making is regarded as the total annual volume of transactions needed to design the contract coordination mechanism and solve double marginalization. Then, based on prospect theory, in the construction of CFD, this paper takes the income of power and coal enterprises when they are in equilibrium under Stackelberg non-cooperative game as the reference point. In addition, considering that coal demand is a random variable, the CFD with a one-year trading session can be designed.

The research derives the coal price of the contract for difference, contract trading volume and its proportion of the total trading volume. A numerical example shows that the model above can be used to effectively avoid the risk of both coal and electricity sides.

To solve the conflict between coal enterprises and thermal power plants, let the coal-electricity supply chain be converted from non-cooperative game to cooperative game. Based on the prospect theory, this paper takes the income of the non-cooperative game of coal and thermal power plants as a reference point and considers how to design the coordination mechanism, the contract for difference, so as to make the two parties cooperate to solve the double marginal utility of the non-cooperative game in a chain supply. The main innovation of the work lies in the following: first, the coal demand when the coal-electrical supply chain is in balance under centralized decision-making is taken as the total annual trading volume needed to design the contract coordination mechanism and solve double marginalization. Second, based on prospect theory, in the construction of CFD, the benefits of coal-fired power plants and coal enterprises when both sides are in equilibrium under the Stackelberg non-cooperative game are taken as the reference points, and coal demand is taken as a random variable to design the CFD with a one-year transaction period. The price of coal that is not traded through CFD is calculated according to the daily market price. Third, this paper proposes the prospect M-V criterion of the risk-benefit equilibrium of both power and coal enterprises, which means that the risk-benefit equilibrium of both sides is the prospect variance effect of both sides relative to the reference point benefit divided by the prospect expectation effect.

While monetary autonomy is self-explanatory for cryptocurrencies such as Bitcoin with predetermined supply path, it is of great interest to probe into the monetary structures of Stablecoins. In these supply contracts and expands and capital restrictions apply due to the existence of reserves as the exchange rate arrangement adheres to a price rule.

Ever since the launch of Bitcoin and its offspring, examination of cryptocurrencies' trading activity from the empirical finance viewpoint has received much attention and continues to do so. The particular monetary arrangements found in Stable cryptocurrencies (colloquially referred to as Stablecoins), however, have not been properly (1) classified and (2) studied within an empirical international finance and banking context. This paper provides an empirical framework analogous to Impossible Trinity for exploring monetary arrangements across Stablecoins wherein reserves are held as price stability is targeted.

The study findings of existence of the degree of achievement along the three dimensions of the Impossible Trinity hypothesis, namely monetary independence, exchange rate stability and financial openness for a representative sample able to cover all varieties of Stablecoins, provide fresh empirical insights and arguments to this growing literature with respect to the success of their embedded exchange rate stabilization mechanisms. While the hypothesis can be supported for all cryptocurrencies in question, the trade-off combination among exchange rate stability, capital openness and monetary independence varies with the categorical types of Stablecoins.

If Stable cryptocurrencies, therefore, claim the role of global monetary assets freed from sovereign limits and national boundaries, it is critical to explore whether they adhere to traditional monetary frameworks. It goes without saying that in this work the author does not use a complete catalogue of all the available Stablecoins, rather a complete catalogue of all the possible asset classes of Stablecoins. While there is a significant difficulty in finding Algorithmic Stablecoins and, so far, there is plethora of Stable Token initiatives, a broader sample to further examine these under this paper's empirical framework is suggested. Enrichment of the robustness analysis by constructing additional proxies, possibly building time series for the proposed cmo1 subindex and using additional estimation methods is encouraged.

Stablecoins have been developed aiming to address the issue of excessive price variation in cryptocurrencies such as Bitcoin. Holders of Stablecoins enjoy the combined advantages of using a blockchain-based digital infrastructure in fulfilling the functions of store of value and media of exchange and of using a traditional currency, which merely plays the role of the unit of account (and in some circumstances the trusted reserve to which is convertible to). Understanding the varieties of Stablecoins and quantifying the components for success of their price stabilization may result in designing better Stablecoins.

Blockchain and cryptocurrencies have introduced new challenges to money and banking. Cryptocurrencies, which independently float such as Bitcoin, have gained the interest so far due to price variation that allows for gains. But these should be by far not considered to be a substitute to traditional means of payment. Lately, Stablecoins have increasingly gained attention for that USD Tether/Bitcoin pair (a Stablecoin pegged to the US dollar at parity) has outrun the US dollar/Bitcoin pair as the most traded pair in digital exchanges marking the strong position and high demand for Stablecoins.

This approach uncovers the varieties of Stablecoins with respect to their monetary constraints compared to the rest of the cryptocurrencies, which independently float. In this paper, the author provides a conceptual framework for the analysis of the exchange rate mechanisms conditional on Stablecoin asset classes accompanied with an empirical study from the monetary viewpoint. This is the first work in this attempt. The empirical framework employed is analogous to the traditional theory of international monetary economics referred to as Impossible Trinityz.

The peer review history for this article is available at: https://publons.com/publon/10.1108/JES-06-2020-0279

“Price is what you pay. Value is what you get.”

– Warren Buffett

Value pricing can be a successful means to maximize profit by pricing products and services based on their value to end users. Using this approach necessarily means that customers are segmented, with some receiving better prices than others. However, many companies mistakenly believe that U.S. law requires that all customers receive the same price or a “fair and equitable” price, an unrealistically high standard that is a self-imposed roadblock to value-based differentiation.

Not only is the law supportive of segmentation and the economic discrimination that goes with it, but, where resellers are involved, the law also permits value pricing to be facilitated and preserved through the use of non-price vertical restrictions and resale price setting. In addition, price signaling can be a lawful way to avoid sending wrong messages to the marketplace that jeopardize value pricing strategies.

This paper aims to investigate how unique features of built facilities would affect the application of greenhouse gas (GHG) emissions trading, and to explore what adaptive measures may be taken for emissions trading to be applied to the built environment. Emissions trading is a financial tool to encourage GHG emissions reduction in various industries. As the building sector is responsible for a large amount of GHG emissions, it is valuable to explore the application of emissions trading in built facilities.

The analysis is based on a comparative study reviewing the current emissions trading schemes (ETSs) in Australia, Japan and the UK covering the building industry, and to evaluate the approaches adopted by the schemes to tackle the problems related to buildings and facilities management.

The research findings reveal that the small energy savings of individual building units, the large variety of energy-saving technologies and the split incentives and diverse interests of building owners and tenants would be the barriers hindering the development of emissions trading. To overcome these barriers, an ETS should allow its participants to group individual energy savings, lower the complexity of monitoring and reporting approaches and allow owners and tenants to benefit from emissions trading.

This article provides a comprehensive overview of the current emissions trading practices in the built environment. Besides, it raises the attention and consciousness of policymakers to the need that building characteristics and facilities management should be taken into consideration when designing an ETS for the building sector.

Reverse floating interest rate‐linked structured products are important innovative products for investors to achieve a relatively high yield at low interest rates, and the reasonable pricing of such products is an important factor to influence investors' needs and issuers' profits. The purpose of this paper is to empirically analyze the rationality of the pricing of reverse floating interest rate‐linked products.

This paper combines the Itô's Lemma and introduces the Black‐Derman‐Toy (BDT) model into the time‐varying volatility to build a binary tree interest rates BDT model under the time‐varying volatility, and to establish the pricing model of reverse floating interest rate‐linked products. Dozens of product data of ABN AMRO Bank and other world‐renowned banks or financial institutions are empirically analyzed.

The results show that the average pricing of these products is high, and the expected rate of return of the product is lower than the same period of the Five‐year US Treasury Bill rate.

This paper has combined the theory and practice together. The research method described in this paper is of significance to the pricing of interest rate‐linked structured products, and the pricing method of binary tree BDT model to solve the term structure of interest rates and estimation problem of volatility term structure of interest rates.