Variability in wheat export demand elasticity: Policy implications

Agricultural economists and policy makers in the United States believe that the magnitude of the export demand elasticity is one of the most important parameters used in farm policy decisions. However, past empirical estimates show wide variation in the size of the U.S. export demand elasticity. Reasons for this wide variation go beyond differences in model specification, estimation methods, and period of estimation to involve factors such as trade policies and changes in the supply and demand conditions of foreign countries. In view of the continual variation in magnitude, the elasticity of export demand should be viewed as a variable rather than as a parameter. In this study, U.S. wheat export demand elasticities are computed using a world wheat trade model. The estimates show that the elasticities vary significantly over time. They also reveal that elimination of trade barriers would more than double wheat export demand elasticities.     

Agricultural Supply Response: A Survey

This paper surveys the literature on agricultural supply response to prices in developing countries. Empirical estimates of elasticities depend both on the methodology adopted and on country-specific factors relating to technology, economic structure and macro constraints. The paper seeks to establish some general conclusions on supply responsiveness within these limitations. Supply response to output prices at the aggregate and at the crop levels is considered first. Crop-specific acreage elasticities range between zero and 0.8 in the short run while long-run elasticities tend to be higher — between 0.3 and 1.2. Yield elasticities are smaller and less stable than acreage elasticities. Clearly, inter-crop pricing can be relied upon to effect shifts in the commodity composition of agricultural output. Evidence also suggests that supply elasticities vary systematically with such factors as price and yield risks, multiple-cropping, the importance of the crop, farm incomes, farm size, tenancy and literacy. The most controversial and important aspect of supply response is the effect on aggregate agricultural output of agriculture's terms of trade. Conventional time-series estimates range from 0.1 to 0.3. A major cross-country study reports an aggregate elasticity as high as 1.66. It is argued that cross-country estimates are apt to exaggerate aggregate responsiveness while time-series studies underestimate it somewhat. For LDCs, a tentative range of 0.4 to 0.5 seems plausible. Hence, the distributive effects of the terms of trade are likely to be more significant than the allocative effects. Asian evidence shows that only a third of the inter-country differences in fertilizer use can be attributed to fertilizer price policies. Provided new technologies and infrastructure are in place, fertilizer subsidies can help in technology diffusion and in overcoming credit constraints. The choice between price supports and input subsidies will depend on a variety of country- or situation-specific factors. Nevertheless, a significant general factor favoring price supports is that they can more easily be coupled with price stabilization goals than input subsidies. Though sparse, the available evidence on the response of marketed surplus suggests that price policy is not a reliable instrument for regulating inter-sectoral trade.     

Off‐farm work and technical efficiency on U.S. dairies

In this study, we investigate the impact of an increase in farm households’ off‐farm work on technical efficiency (TE) of U.S. dairies. We present a theoretical framework that implies that an increase in farm household off‐farm work decreases TE. We use two nationally‐representative samples of U.S. dairies (2010 and 2005 Agricultural Resource Management Surveys) and a parametric approach (stochastic frontier analysis) to empirically test the hypothesis. Results are generally consistent with the hypothesis and show that an increase in off‐farm work by the farm household is associated with a significant decrease in TE. In addition, results show that there is a statistically significant difference in TE between small, medium, and large farms. Small farms are associated with significantly higher off‐farm work and have lower TE than large farms, which implies that less off‐farm work by households with larger farms is at least partially responsible for the evidence of economies of scale in the U.S. dairy industry.     

Tracing the evolution of the aggregate U.S. milk supply elasticity using a herd dynamics model

The U.S. dairy sector is characterized by increasing volatility of milk prices, and consolidation in production as evidenced by declining number of dairy farms with an increasingly larger share of milk supplied from a small number of very large farms. Using aggregate national data, we build a mixed‐frequency herd dynamics econometric model of the U.S. milk supply that updates and substantially amends the model first proposed by Chavas and Klemme. We implement a dynamic residual‐based bootstrap technique that can be used in testing for changes in nonmarginal simulated long‐run supply responsiveness, and trace the evolution of long‐run milk supply elasticity from 1975 through 2010. Several papers in the past have suggested that long‐run supply elasticity increases with dairy farm size, which implies that increased importance of large farms would increase aggregate long‐run supply responsiveness. Contrary to this conclusion, we find a declining trend in long‐run supply elasticity from 1975 through 2005. Persistence of such a decline would be a major cause for worry, as ever larger price swings would be needed to equilibrate the market in face of demand shocks. However, we find that milk supply is becoming more responsive since 2005 both to milk and feed price changes. Increasing responsiveness to feed prices further justifies focusing the next generation of the dairy policy instruments on managing dairy profit margins rather than just revenue streams.     

Do the Largest Firms Grow and Diversify the Fastest? The Case of U.S. Dairies

We analyze growth and diversification of U.S. dairy farms by examining changes in ten size cohorts and new entrants through three successive censuses. We reject Gibrat's law and the mean reversion hypothesis of growth. Growth rates appear bimodal where the smallest and largest farm cohorts grow fastest. All cohorts diversify but the largest farms do not diversify as rapidly as medium-sized farms. New entrants are generally large, and they diversify more rapidly than comparably sized incumbents do. These data suggest that scale economies persist even for the largest cohort of U.S. dairy farms and scale economies dominate scope economies for large farms.     

Supply response in Ethiopia: accounting for technical inefficiency

Few empirical studies of supply response using the profit function have accounted for technical inefficiency. Using farm‐level panel data from Ethiopia, this study examines the effect of incorporating technical inefficiency in estimating the supply response of peasant farmers. Two systems of output supply and input demand equations are estimated and compared: the conventional model in which technical efficiency is assumed and another in which technical inefficiency is explicitly incorporated. The model with technical inefficiency is preferred on grounds of theoretical consistency and improved estimates, although model comparison tests are not conclusive. Incorporation of inefficiency generally increases the magnitudes and the statistical significance of own price elasticities, substantially so in the case of fertilizer and fertilizer‐intensive crops, and alters the priority attached to nonprice factors. An important result is that only the specification with inefficiency reveals a significant effect of access to extension services on output. Only this specification finds that output increases with household size, which one expects as the farms in the sample are largely subsistence and producing for own consumption. Furthermore, the results demonstrate that farmers' response to incentives is considerably restricted by inefficiency, suggesting that the traditional model would overstate response by excluding the efficiency variable.     

Supply response of U.K. milk producers

Short‐run own‐price response elasticities are estimated from two samples of panel data for specialist dairy farms in the Northwest and Southwest of England. Although these farms are subject to milk marketing quotas, the free tradability of quotas enables them individually to adjust the output quite rapidly. Model specifications have been chosen to test the ability of panel data to directly reveal behavioral responses without the imposition of theoretical restrictions. Significantly, the two independent samples generate quite similar results, especially in terms of supply response measures. Stable and promising estimates are obtained with simultaneous models giving higher elasticities than single equation models.     

Scale Economies and Inefficiency of U.S. Dairy Farms

This study employs data drawn from the 2000 Agricultural Resource Management Survey, a U.S. Department of Agriculture-sponsored farmers' survey. The article estimates returns to scale relationships across dairy farms of different sizes and across different regions, incorporating variables hypothesized to influence farm performance. Results point to significant scale economies in U.S. dairy farms and underscore the importance of taking account of inefficiency when estimating scale economies. Contrary to previous research, the preferred cost function specification does not show a region of decreasing returns to scale. This finding helps explain why the average size of dairy farms has been increasing.     

Who Receives Farm Government Payments?

If we do not systematically attempt to collect data and assess distributional impacts, we shall always be surprised by the many unintended consequences of our public decisions. (Bonnen 1969, p. 447) Direct government payments to farmers have tripled in the last half of the 1980s. Market price support programs (for example, the Western Grain Transportation Act, among others) and supply management regulation continue to be topics of debate among policy analysts. Certainly the debate has become intensified by the discussions surrounding the Canada-U.S. Trade Agreement and the Uruguay Round of talks under the General Agreement on Tariffs and Trade. When all census farms are distributed across gross sales classes, the “selected” programs included in this study tend to be more concentrated among the mid-sized farms than are aggregate gross sales. However, if one considers Prairie grain farms distributed across farm size classes measured in terms of grain acres, gross sales, net farm income (specifically, NCFIWF) and the net “benefits” of “selected” government programs are similarly concentrated. For example, Prairie farms with 320 to 599 acres of grain report 24% to 26% of each of these four items.²⁶ The “selected” programs included in this study tend to pay about the same size of payout per farm household, regardless of the size of household income. We obtain this result because farm size in terms of gross farm sales tends to be the same, regardless of the size of household total net income. Across the spectrum of farm financial stability classes, the net “benefit” of the “selected” programs in this study tend to be distributed similarly to gross farm sales. The results depend on exactly how one implements the classification but more than two thirds of gross sales and more than two thirds of net “benefits” of “selected” programs accrue to farms with a higher level of financial stability. Across the spectrum of rates of return on equity as an indicator of farm efficiency, about one third of gross sales and one third of net “benefits” of “ selected” programs accrue to farms with a rate of return on equity of 10% or more. The potential impact of deregulation of supply management depends on one‘ s assumption. Three scenarios are presented here and, in each case, both “winners” and “losers” are identified. Between 4% and 37% of households on farms with quota would move from above to below the Statistics Canada low-income cutoff (LICO), depending on the scenario under consideration. However, in each seen-ario, there are cases of households moving from below to above LICO as a result of our calculated impact of deregulating supply management. This paper takes its lead from Bonnen's observation about “unintended consequences.” We do not offer an “evaluation” of any government program. Our sole objective is to illustrate “distributional impacts” so that all individuals in the policy debate may speak from an informed perspective. This paper represents an initial step in developing an “informed perspective.” As the first note to this paper indicates, an important ancillary objective is to illustrate the potential of Statistics Canada databases to provide tabulations to answer specific Questions posed by researchers and policy analysts.     

On the nature and magnitude of cost economies in hog production

In this article, we assess the impact of farm size on production cost and evaluate the marginal costs and margins by considering that input prices may change with the scale of production. By using French hog farm data, we estimate a system of equations including a feed price function, input demand functions, and an output supply function based on a technology approximated by a combined generalized Leontief‐Quadratic form. Our results suggest that the marginal costs are over‐estimated when the adjustment of the feed unit prices to a change in farm size is not controlled for. More specifically, the cost economies for large farms (enjoying the highest profits) arise primarily from lower feed prices, with technological scale economies having little impact. In contrast, farms with no hired labor exhibit technological scale economies and reach higher price‐cost margins compared to larger farms.     

Understanding the variation in estimates of off-farm labour supply elasticities: A meta-analysis

The design of rural development policies and government programmes in support of farm operations and farm households relies on precise estimates of off-farm labour supply elasticities. However, the wide variation in estimates dilutes their power to predict the magnitude of these targeted interventions. We perform a meta-analysis of estimates of off-farm labour supply elasticity to identify systematic factors that influence these estimates. A sample of 137 elasticities is obtained from 43 studies which use data ranging from 1960 to 2012. We examine theoretical assumptions, data availability and empirical specifications, and other study-specific characteristics. Controlling for potential publication bias, we estimate that the elasticity is approximately 0.64 to 0.77. Results of the analysis show that estimates are affected by modelling choices controlling for self-selection and life-cycle elements. However, we found no compelling evidence that study-specific characteristics of off-farm labour supply functions, including various measurements of labour supply, explain variation in the elasticities.     

Input Substitution,Productivity Performance and Farm Size

This paper develops a theoretical model to examine the relationship between the input elasticity of (technical) substitution and both farm total factor productivity and size. In the presence of ongoing technical change and its factor bias, the ‘income effect’ arising from farms' cost minimising behaviour enables them to increase productivity by saving inputs or, through the dual equivalent, enlarging farm size. As such, farms with higher elasticities of substitution tend to grow larger and become more productive, which provides a new mechanism through which farm heterogeneity in productivity growth can be examined. Empirical evidence from Australian broadacre agriculture supports this theory and points to important policy implications.     

A Review of International Agricultural Supply Response

Existine literature has orovided a wide ranee of estimates for supply elasticities. This study reviews agricultural supply response in developed and developing countries. The main obiective is to provide an understanding of the causal factors accounthg for the diversity of estimates. It is discussed that the estimated elasticities vary depending on the methodology used, the time period the cover, the definition of price variable, and the type of data utilized: The various methodologies employed to estimate supply elasticities are discussed. Finally, some conclusions are derived which are supported by the theory and the weight of the evidence.     

What Drives Marginal Abatement Costs of Greenhouse Gases on Dairy Farms? A Meta‐modelling Approach

This paper examines the relationships between the marginal abatement costs (MAC) of greenhouse gas (GHG) emissions on dairy farms and factors such as herd size, milk yield and available farm labour, on the one hand, and prices, GHG indicators and GHG reduction levels, on the other. A two‐stage Heckman procedure is used to estimate these relationships from a systematically designed set of simulations with a highly detailed mixed integer bio‐economic farm‐level model. The resulting meta‐models are then used to analyse how MAC vary across farm‐level conditions and GHG measures. We find that simpler GHG indicators lead to significantly higher MAC, and that MAC strongly increase beyond a 1–5% emission reduction, depending on farm attributes and the chosen indicator. MAC decrease rapidly with increasing farm size, but the effect levels off beyond a herd size of 40 cows. As expected, the main factors driving gross margins per dairy cow also significantly influence mitigation costs. Our results indicate high variability of MAC on real life farms. In contrast to time consuming simulations with the complex mixed integer bio‐economic programming model, the meta‐models allow the distribution of MAC in a farm population to be efficiently derived and thus could be used to upscale to regional or sector level.     

Diversification, Vertical Integration, and the Regional Pattern of Dairy Farm Size

Dairy farm size differs considerably across the United States. We analyze patterns of dairy farm size to determine how differences in vertical integration and diversification relate to farm size. We find that diversification accounts for little size variation. For vertical integration, the partial correlation with dairy herd size is strongly negative. Dairy value-added size measures vary less across regions than herd size, indicating that an important part of herd size variation relates to vertical integration. Nonetheless, dairy farms in the Pacific and South regions remain much larger than farms in the traditional dairy regions, even when accounting for vertical integration.     

Regional Shifts in Pork Production: Implications for Competition and Food Safety

U.S. pork production and processing is consolidating in larger, more economically efficient units, and shifting from the Midwest into the Southeast. A regional model of farm supply and processing demand shows that smaller Midwest operations can survive only if processing capacity remains concentrated in that region. Salmonella incidence is higher in the Southeast and on larger farms. Restricting salmonella incidence in hogs delivered for processing to the minimum feasible level would increase total industry costs by 3%, due to increased production and delivery costs. It would also increase the comparative advantage of farms and processing firms in the Midwest.     

Imports versus Domestic Production: A Demand System Analysis of the U.S. Red Wine Market

The U.S. wine market experienced rapid growth in all facets—production, consumption, exports, and imports—over the past decade. Red wine imports more than tripled while consumption of domestically produced red wines doubled. This research estimates demand elasticities of U.S. red wine imports from five countries accounting for over 90% of imports—Italy, France, Spain, Australia, and Chile—using the first-difference version of the almost ideal demand system (AIDS). These elasticities are compared with those for domestically produced red wine. Results for conditional expenditure elasticities indicate that the U.S. red wine industry gains over imports when U.S. consumers' total expenditures on red wine increase. However, comparing own- and cross-price elasticities reveals an increase in the price of U.S. red wine results in a decline in quantity demanded six times greater than for French and Italian red wines and over 20 times greater than other import countries, thus harming the U.S. red wine industry. Empirical results suggest that U.S. red-wine producers could increase their total revenue by decreasing prices, while Italian and French producers can increase total revenues by increasing them.     

Technical efficiency,herd size,and exit intentions in U.S. dairy farms

The U.S. dairy industry has seen major restructuring in recent decades. A sharp decline in the number of U.S. dairy farms and an increase in average herd sizes have accompanied exits, which have been concentrated among smaller herds. Given that more productive farms are better positioned to increase operation size and to continue operation, we hypothesize that the more technically efficient farms are better able to expand and also have stronger incentives to continue production. Using data from the USDA's 2010 ARMS Phase III, Dairy Production Practices and Costs and Returns Report, we estimate technical efficiency using stochastic production frontier analysis with endogenous inputs. The efficiency estimate is then incorporated into the analysis of exit intention and herd size. The results confirm our hypotheses that smaller and less efficient farms are more likely to exit and that more efficient dairy farms tend to expand herd size. Moreover, farms without successors but with older and more educated operators are more likely to exit.     

Determinants, differentiation, and development of short-term marginal costs in dairy production: an empirical analysis for selected regions of the EU

This work provides evidence on the determinants, cost differentiation, and development of short‐term marginal costs of dairy farms in important production regions of the European Union. The empirical study is based on the estimation of multi‐input multi‐output Symmetric Generalized McFadden cost functions using an unbalanced panel data set of the European Farm Accountancy Data Network. The results show considerable regional differences in the impact of the outputs, input prices, and fixed factors on marginal costs. Strong evidence can be found that marginal costs decrease over time and is further underlined by the development of derived regional aggregated short‐term supply curves. Marginal cost elasticities and correlation coefficients validate the hypotheses that a high degree of farm specialization, large milk output, and low milk prices are associated with lower marginal costs. Furthermore, the marginal cost spread in the data sample is analyzed. We show that milk output, milk yield, herd size, labor input, and fodder production can be attributed to significant marginal cost differentiation of farms, whereas for crop and animal output, grassland, stock of other animals, and depreciation only minor differentiation can be found.     

Analysing Production Technology and Risk in Organic and Conventional Dutch Arable Farming using Panel Data

This paper compares the production technology and production risk of organic and conventional arable farms in the Netherlands. Just–Pope production functions that explicitly account for output variability are estimated using panel data of Dutch organic and conventional farms. Prior investigation of the data indicates that within variation of output is significantly higher for organic farms, indicating that organic farms face more output variation than conventional farms. The estimation results indicate that in both types of farms, unobserved farm‐specific factors like management skills and soil quality are important in explaining output variability and production risk. The results further indicate that land has the highest elasticity of production for both farm types. Labour and other variable inputs have significant production elasticities in the case of conventional farms and other variable inputs in the case of organic farms. Manure and fertilisers are risk‐increasing inputs on organic farms and risk‐reducing inputs on conventional farms. Other variable inputs and labour are risk increasing on both farm types; capital and land are risk‐reducing inputs.