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The purpose of this paper is to determine the extent of risk rationing among potential rural borrowers in Mexico and China.

Using primary survey data from 730 farm households in the Shaanxi province of China and from 372 farmers in northeastern Mexico, the authors investigate factors associated with risk rationed, price rationed and quantity rationed farmers. The survey was instrumented to self-identify borrower typologies. In addition the authors created within the survey a discrete-choice credit demand build to determine borrower credit demand elasticities. The analysis applies a linear probability which the authors found to be consistent with multinomial and binary logit models.

The authors find in China the incidence of risk rationing in farmers to be 6.5, 14 percent for quantity rationed and 80 percent for price rationed. In Mexico, 35 percent of the sample is risk rationed, 10 percent quantity rationed and 55 percent price rationed. The results from China support the hypothesis that the financially poor are more likely to be quantity rationed; in Mexico, however, the level of education is found to be important in determining quantity rationed. In both countries, asset wealthy farmers are less likely to be risk rationed; however, income does not appear to have an impact. The paper provides evidence that the elasticity of demand for credit is different among the three credit rationed groups: risk rationed, price rationed and quantity rationed. Risk aversion and prudence are significantly correlated with risk rationing in China, while only risk aversion is significant in Mexico. The results suggest that efforts to enhance credit access must also deal with risk and risk perceptions.

Risk rationing is an important concept in the understanding of rural credit markets. The findings that only 6.5 and 35 percent of Chinese and Mexican farmers are in stark contrast to each other. For agricultural economies such as Mexico with a significant number of farmers being risk rationing, more effort should be put into financial education and financial practices, including perhaps the use of risk-contingent credit to remove collateral risk. As property rights in China evolve, and new laws are promulgated to permit borrowing against land use rights, the collateralization issue will become much more important in rural credit markets.

This paper is the first to investigate risk rationing in China and Mexico and one of the few research studies empirically investigating risk rationing. A comparative analysis of Mexico and China is enlightening because of the structural differences in the respective agricultural economies. The use of a credit demand build and the enumeration of individual credit demand elasticities is an original contribution to this literature.

This paper aims to develop a market-driven mechanism for commodity price insurance in developing countries lacking access to futures markets or other forms of hedging products.

The model incorporates futures, exchange rate and local basis risk under the Black-Scholes framework to develop quanto (quantity adjusting option). When the domestic price of a commodity in a developing country is strongly correlated to the price in a futures market, price support premiums can be estimated. The authors use daily corn futures prices, exchange rate MXP/USD, and prices of corn and sorghum at several locations in Mexico.

The authors calculated the price insurance premium at various local markets in Mexico for corn and sorghum. The results are consistent with those for the USA, showing that relative price premiums are similar.

The results provide a benchmark to estimate the net welfare effects of government programs for agricultural price support.

The model shows that privately provided agricultural price insurance is feasible under certain conditions for developing countries without an established futures market.

This paper provides market-based agricultural options in Mexico which contributes to the existing government price support program.

The purpose of this paper is to provide a general discussion of how techniques from financial engineering can be used to investigate the economic costs of farm programs and to aid in the design of new financial products to implement margin protection for dairy farmers. Specifically the paper investigates the Milk Income Loss Contract (MILC) and the Dairy Margin Protection (DMP) program. In addition the paper introduces the concept of the Milk to Corn Price ratio to protect margins.

The paper introduces and reviews the tools of financial engineering. These include the stochastic calculus and Itô's Lemma. The empirical tool is Monte Carlo simulations. The approach is part pedagogy and part practice.

In this paper the authors illustrate how financial engineering can be used to price complex price stabilization formula in the USA and to illustrate its use in the design of new products.

In this paper the authors illustrate how financial engineering can be used to price complex price stabilization formula in the USA and to illustrate its use in the design of new products.

Farm programs designed to protect dairy farmers margins are designed in a seemingly ad hoc fashion. Assessments of programs such as MILC or DMP are conducted on an ex-post basis using historical data. The financial engineering approach presented in this paper provides the means to add significant depth to the assessment of such programs which can be used in conjunction with Monte Carlo simulation to identify alternative model structures before they are written into law.

This paper builds upon an existing literature. Its originality is in the application of financial engineering techniques to farm dairy policy.