Measuring and causes of inequality in farm sizes in the United States

This article examines the notion of farm size inequality expressed as sales inequality in the United States. The farm size index (FSI) is developed as a measure of farm size inequality. FSIs are calculated for the farming sector in all 50 states and large variation in farm size across the states and over time is determined. The largest FSIs are calculated for a number of Southern, Southwestern, and Pacific states. Increasing FSIs over time are observed in all states as well. The spatial and temporal (between 1987 and 1997) differences in FSIs are explained by running a pooled, cross‐sectional time‐series model. The most influential variables accounting for the differences have to do with the ownership structure, where a larger presence of individual and family farms relative to corporate farms and cooperatives leads to a lower degree of farm size inequality. Also, states and regions having relatively larger number of farms owned by minorities have higher FSIs. Shrinking opportunities in the agricultural sector relative to the rest of the economy, primarily services, are reflected in a declining share of agricultural sector state income in total gross state product (GSP). This in turn leads to an increase in the farming sector's FSI suggesting that only larger, more profitable operations are the likely candidates to pursue farming activities. Finally, grains farming regions have all lower degree of farm size inequality than livestock or fruits and vegetables regions. Profitable grains farming requires relatively large farm size and equipment investments, which leads to a relatively homogeneous structure of grains farms. A larger variation in the size of profitable farm operations is possible in fruits and vegetables and livestock. This leads to the existence of a large number of very small but still sustainable farms, and a relatively small number of large farms that capture most of market sales share.     

Farm share of the food dollar: an IO approach for the United States and Canada

This article develops a method for using input–output data to calculate a farm share estimate for all food rather than the typical approach of estimating a price spread for an individual product. The farm share of the food dollar is approximately 14% in the United States and 17% in Canada. The farm share increased somewhat during the commodity price boom but has generally fallen steadily by approximately 20% since 1997. While the farm share of expenditures on food for home consumption is approximately 22% across both countries, it is 4% in the United States and 7% in Canada for meals consumed away from home. The empirical framework can be extended to other countries given the extensive use of System of National Account data making international and temporal comparisons possible across farm and food marketing systems.     

Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea

This study examines public perceptions of biotechnology, specifically the consumer approval of genetically modified food products, from plant as well as from animal origin, based on data collected from national surveys conducted in both the United States and South Korea. South Korean consumers reported better understanding of food production, science, and technology relative to U.S. consumers. South Korean consumers also recalled having heard more about genetic modification than did U.S. consumers. Findings also suggest that consumers in the United States and South Korea who possessed an accurate knowledge of the applications and outcomes of genetic modification technology were more likely to approve of its use for the creation of foods than those who had inaccurate or no knowledge of the technology. Results also indicate that consumers who considered labeling of genetically modified foods to be necessary are less likely to approve of the genetic modification of foods than those who did not. Consumers in both countries are less approving of genetic modification of animals than the genetic modification of plants. However, U.S. consumers are more approving of using genetic modification technology to create animal‐derived foods than are South Korean consumers.     

Consumers’ preferences for fresh broccolis: interactive effects between country of origin and organic labels

While international trade in organic products has grown significantly, understanding consumers’ preferences for imported organic foods has remained limited. This research examines the impact of country‐of‐origin labeling on US consumers’ choices of organic foods. Results show that consumer valuation of domestically produced organic broccoli was significantly higher than that of imported organic broccoli. Adding information about USDA organic certification standards/rules for imported products mildly increases consumer valuation of imported organic broccoli in some cases. These findings suggest that providing such information may have a positive impact on consumer willingness to purchase imported organic products.     

Asymmetric information in cattle auctions: the problem of revaccinations

We analyze the problem of asymmetric information between buyers and sellers in cattle auctions, using the problem of revaccinations as the point of departure. We present a simple model to show that if buyers do not know and cannot verify whether sellers have vaccinated their animals, then they may consider revaccination. Revaccination is only a part of the broader problem of information asymmetry that includes other quality issues and costs that can be saved, thereby affecting the welfare of both buyers and sellers. We consider structural characteristics of ranching, traditions, and consumers' preferences as well as proposals regarding third‐party certification to argue that the problem of asymmetric information in cattle auctions is a persistent one. We also argue for a comprehensive empirical study of the incidence and impacts of buyer revaccination.     

Regional obesity determinants in the United States: a model of myopic addictive behavior in food consumption

Obesity is considered one of the largest public health problems in the United States today. The premise for our study is a body of results from medical research showing that sweetened foods, i.e., an increased consumption of sugars, leads first to sugar addiction and second to carbohydrate addiction and increased consumption of fats. The latter feature is actually responsible for the increase in body mass index (BMI), but the trigger that produces cravings for extra calories is sugar and sweeteners. Based on our results, a myopic model of addictive behavior in food consumption seems to capture the food consuming habits and related outbreak of obesity among the American population. Our results indicate that lower current and past real prices of sugar contribute significantly to higher values of BMI, and increase the likelihood of becoming obese in the United States.     

Nonlinear adjustments in deviations from the law of one price for wholesale hog prices

This article applies the Band‐Threshold Autoregression (Band‐TAR) model to investigate whether the law of one price (LOOP) holds in Taiwanese wholesale hog markets during the period from May 1987 through December 2003. We find evidence of a nonlinear mean reversion in deviations from the LOOP for relative hog prices. Our empirical study confirms the presence of thresholds and provides strong evidence in support of the view that the regional hog markets have been tightly integrated in Taiwan and that the wholesale hog market in Taiwan is an efficient market economy. Furthermore, the estimated half‐lives from the nonlinear generalized impulse response analysis are as short as four months.     

An interdisciplinary approach to regional land use analysis using GIS, with applications to the Atlantic Zone of Costa Rica

Policy makers and other stakeholders concerned with regional rural development increasingly face the need for instruments that can improve transparency in the policy debate and that enhance understanding of opportunities for and limitations to development. To this end, a methodology called SOLUS (Sustainable Options for Land Use) was developed by an interdisciplinary team of scientists over a 10-year period in the Atlantic Zone of Costa Rica. The main tools of SOLUS include a linear programming (LP) model, two expert systems that define technical coefficients for a large number of production activities, and a geographic information system (GIS). A five-step procedure was developed for GIS to spatially reference biophysical and economic parameters, to create input for the expert systems and the LP model, to store and spatially reference model output data, and to create maps of both model input and output data. SOLUS can be used to evaluate the potential effects of alternative policies and incentive structures on the performance of the agricultural sector. A number of practical applications demonstrate SOLUS's capability to quantify trade-offs between economic objectives (income, employment) and environmental sustainability (soil nutrient balances, pesticide use, greenhouse gas emissions). GIS-created maps visualize the spatial aspects of such trade-offs and indicate hotspots where local goals may conflict with regional goals.     

Land degradation, drought and food security in a less-favoured area in the Ethiopian highlands: a bio-economic model with market imperfections

This paper presents a bio‐economic model of Andit Tid, a severely degraded crop‐livestock farming system with high population density and good market access in the highlands of Ethiopia. Land degradation, population growth, stagnant technology, and drought threaten food security in the area. Drought or weather risk appears to have increased in recent years. The bio‐economic model is used to analyse the combined effects of land degradation, population growth, market imperfections and increased risk of drought on household production, welfare and food security. We find that the indirect effects of drought on household welfare through the impact on crop and livestock prices are larger than the direct production effects of drought. Provision and adoption of credit for fertiliser, although risky in itself, may lead to increased grain production and improved household welfare and food security. Provision of credit may have a negative effect on conservation incentives but this effect may be mitigated by linking a conservation requirement to the provision of credit for fertiliser.     

Supply and demand estimates for feed grains in China

In the past two decades, the use of grain to feed livestock in China has increased rapidly. A number of studies have examined demand and supply of grain for animal feed in China. Forecasts have been made. Generally, these projections have turned out to be well wide of the actual supply and demand. Further, forecasts of supply and demand for feed grains for the same time periods have differed greatly. Accurate forecasts of variables affecting supply and demand benefit both producers and consumers. Past forecasts of supply and demand of feed grain for livestock production in China are reviewed and reasons for discrepancies between projections are explored. Ways to improve projections of demand for and supply of grain for livestock feed in China are identified.     

Policies for sustainable development in the hillside areas of Honduras: a quantitative livelihoods approach

In this article, we use data for 376 households, 1,066 parcels, and 2,143 plots located in 95 villages in the hillside areas in Honduras to generate information needed by decision makers to assess the needs and opportunities for public investments, and design policies that stimulate natural resource conservation. We develop a quantitative livelihood approach, using factor and cluster analysis to group households based on the use of their main assets. This resulted in seven household categories that pursue similar livelihood strategies. We use a multinomial logit model to show that livelihood strategies are determined by comparative advantages as reflected by a combination of biophysical and socioeconomic variables. While 92% of the rural hillsides population in Honduras lives on US$1.00/capita/day or less, households that follow a livelihood strategy based on basic grain farming are the poorest because they often live in isolated areas with relatively poor agro‐ecological and socioeconomic conditions. Opportunities for off‐farm work tend to be limited in these areas and household strategies that combine on‐farm work with off‐farm work earn higher incomes. Per capita incomes can be increased by improving road infrastructure, widening access to land, policies that reduce household size and dependency ratios, and adoption of sustainable land management technologies that restore soil fertility. We used probit models to show that the latter can be promoted by agricultural extension programs and land redistribution. Investments in physical assets should be directed toward households that pursue livelihood strategies based on off‐farm employment or coffee production, while agricultural training programs are best focused on livestock producers.     

Dynamics of rice prices and agricultural wages in the Philippines

Rice trade liberalization in the Philippines should decrease domestic rice prices impacting both agricultural wages and the welfare of agricultural wage earners. This study examines the short-run and long-run relationship between rice prices and agricultural wages in the Philippines using a neoclassical wage determination model. Three empirical frameworks are used—a cointegration/error correction framework, which assumes nonstationary variables in long-run equilibrium, a first difference model that assumes nonstationary variables but no long-run equilibrium, and an OLS framework that assumes the model variables are stationary. Conclusions are reasonably robust across the three empirical frameworks with wages adjusting positively to rice price changes with a short-run elasticity of 0.29 to 0.57, and a long-run elasticity of 0.70 to 1.0 in preferred models. An analysis of welfare implications suggests that although households that are heavily reliant on agricultural wages for income will be adversely affected by rice price decreases, other households will benefit.     

A trait-based model of the potential demand for a genetically engineered food crop in a developing economy

We predict the potential demand of smallholder farmers for genetically transformed varieties of a food crop, the cooking banana of the East African highlands. Farmer demand for planting material is derived in an agricultural household model that accounts for variety traits and missing markets. The demand for candidate host varieties is predicted using a Zero‐Inflated Poisson (ZIP) regression system. The fitted model is used to illustrate the sensitivity of farmer demand for improved planting material to (a) investments in research and development, represented by the effectiveness of gene insertion and expression, and (b) other public investments in education, extension, and market infrastructure that support diffusion. By comparing the characteristics of agricultural households we demonstrate that the choice of host variety can have social consequences, favoring one rural population compared with another. Clients for transgenic banana planting material are likely to be poorer, subsistence‐oriented farmers in areas greatly affected by biotic constraints. A model of this type might be useful in assessing the investments needed to support the systematic dissemination of improved planting material. The approach can be generalized to other crop biotechnologies for smallholder farming systems, particularly in developing economies.     

On the foundation of agricultural policy research in the United States

This paper identifies three scientific research programs in agricultural economics. The farm management approach (1870-1933), the farm problem approach (1933-1982) and the domestic and global welfare approach (1982-). In respect to agricultural policy research two competitive research programs developed out of the farm crisis of the 1920s. One program argued for government intervention in agriculture. The other argued for stability in the general economy. The former program degenerated during the 1970s because of countervailing empirical evidence and a change in the understanding of positive economics. The latter program stayed progressive by adding the international dimension and by applying welfare economic analysis. Two other important factors influenced the development of agricultural policy. First, the unique institutional set up of the land grant system in which agricultural economics was founded as an applied science with a bias to help farmers. Second, the convergence of agricultural economics towards general economics that shifted the approach from applied to basic.     

Determinants of millet diversity at the household-farm and village-community levels in the drylands of India: the role of local seed systems

This research characterizes the biological diversity of millet crops in the semiarid regions of India at the household and village‐community ( panchayat) scales of analysis, placing that evidence in the context of local seed systems. A set of seed system parameters that span formal and informal exchange and can be measured empirically are proposed. The analysis is based on data collected through sample surveys of farmers and traders in selected sites of Karnataka and Andhra Pradesh, combined with cultivar taxonomies developed with geneticists and applied to seed samples. Findings demonstrate that millet crop diversity levels at both scales of analysis are significantly influenced by seed system parameters, factors which related studies have omitted. In particular, the presence of active local (formal and informal) seed markets enhances millet richness among and within farming communities. Crop improvement strategies oriented toward local seed markets could provide important benefits and incentives to farm households living in these marginal environments. There is a need, however, for an enhanced theoretical understanding of local seed markets in analyzing crop variety choices and the diversity of materials grown in less favored environments.     

Farmers’ risk preferences and pesticide use decisions: evidence from field experiments in China

China faces health and environmental problems associated with the use of agricultural chemicals, including pesticides. While previous studies have found that risk aversion affects pesticide use in China, they have focused primarily on commercial cotton farmers. In this study, we consider the case of smaller, semisubsistence and subsistence farmers in a poor and landlocked province of China (Yunnan). We use a field experiment to measure risk aversion and collect detailed data on farm production and input use to specifically ask whether risk aversion affects pesticide use, and whether this effect differs for subsistence farmers producing exclusively for home consumption versus semisubsistence farmers who produce both for home and the market. We find that risk aversion significantly increases pesticide use, particularly for subsistence farmers and for market plots by semisubsistence farmers. Further, this effect of risk aversion significantly decreases with farm size for subsistence farmers, but not for semisubsistence farmers, implying that pesticide use may be used to ensure sufficient food supply for home consumption. Finally, we find barriers to the use of pesticides for subsistence farmers, both in terms of financial constraints and economies of scale. This finding implies that risk‐mitigation strategies, such as crop insurance, may not target food security concerns of subsistence farmers. Given these different motivations for pesticide use, policymakers may wish to consider effective tools to support rural food security for farmers in the poorer regions of China in order to decrease pesticide use.