The dairy industry is of much interest worldwide because it has been subject to heavy government intervention. Central to the analysis of any dairy policy is a quantitative empirical understanding of the economic relationships in the industry. This paper models and measures the input demand relationships—especially, derived demand for farm milk as a processing input—and the rate and biases of technical change in the U.S. dairy manufacturing industry. Our estimates indicate that the Marshallian own-price elasticity of demand for farm milk is between −0.43 and −1.20. Estimates also indicate that technical change has been capital using and labor saving.

U.S. dairy production has been consolidating into large-scale confinement operations. Large numbers of small- to medium-scale dairies have disappeared in the last two decades, and many more are disappearing. This article analyzes small- to medium-scale dairy operations in Maryland during 1995–2009 for changes in technology and efficiency through a novel two-stage DEA approach to examine productivity changes. Conventional confinement dairy operations and management-intensive grazing dairies are analyzed separately. The results show that both dairy systems have become more productive on the technological frontiers, yet the rate of technical change for graziers was less than half the rate for confinement.

This article reviews the current debate on whether U.S. agricultural productivity growth is slowing. It also assesses recent research on how productivity is related to long-term investment in research and development (R&D). It describes significant changes taking place in the U.S. agricultural research system, including the growing role of private agribusiness as a main developer of new agricultural technologies and what this implies for agricultural science policy. The conclusion has suggestions for future research on these issues.

We use nonparametric production function methods to decompose farm-level labor productivity growth into components attributable to efficiency change, technical change, and factor intensity. The estimation is accomplished using balanced panel data drawn from the Kansas Farm Management Association for the period 1993 to 2007. We find that labor productivity growth is primarily driven by factor intensity and technical change. Efficiency change is declining with increasing productivity growth, and technical change is not Hicks-neutral and occurs at high levels of factor intensity, suggesting that innovation is embodied in factor intensity.

This study developed an intertemporal profit function to determine optimal conservation adoption strategies under alternative scenarios with respect to crop prices, relative yields, discount rates, and other assumptions. Special emphasis was placed on determining from the analysis when the switchover from conventional to soil-conserving practices should take place. Technological change was incorporated by allowing crop yields to vary over time. Our analysis thus provides a new, more precise measurement of the cumulative net benefit differential. The optimal period for switchover from conventional to soil-conserving practices was found to vary depending on the assumptions made about corn prices and discount rates. Empirical results were based on an erosion damage function (EDF) for Western Kentucky corn production.

Shrimp farming in Thailand has had disastrous effects on the environment in the past, which has prompted a government ban on shrimp production in inland areas. However, a new low-salinity shrimp farming system has developed that seems to have fewer disease and environmental problems than previous systems but competes with rice production for land and water resources. The present study found that shrimp farming exhibits increasing returns to scale and is much more profitable than rice farming, which offers opportunities for rice farmers to improve their incomes through diversification. No evidence was found for external environmental effects of shrimp production on rice production or vice versa. A total ban on shrimp production in rice farming areas does not seem justified, although further analysis on the environmental effects of this farming system is warranted.

This paper analyzes output changes in the U.S. agricultural economy from 1972 to 1977 using a 477-sector input-output framework. The empirical model is based on benchmark input-output data from the U.S. Bureau of Economic Analysis for 1972 and 1977. Output changes were decomposed into components attributable to technical change, domestic final demand change, export demand change and import substitution. A major advantage of the decomposition is its ability to identify the output change in a given sector due to general equilibrium effects in all sectors.

We estimate the influence of policy-induced price changes and of technology supply on North Carolina flue-cured tobacco yields. The decline in land rent and effective output price that accompanied a 1965 policy change from acreage allotments to poundage quotas caused a 12 percent decrease in yields. Farmer yields were more responsive to yield-increasing technologies under acreage allotments than under poundage quotas. Annual yield growth was 0.5 percent under poundage quotas and 4.32 percent under acreage allotments. The growth rate decline is attributable to changes in relative prices and to a slowdown in the supply of available technologies.

The U.S. hog industry has experienced dramatic structural changes and rapid increases in farm productivity. A stochastic frontier analysis is used to measure hog enterprise total factor productivity (TFP) growth between 1992 and 2004 and to decompose this growth into technical change and changes in technical efficiency, scale efficiency, and allocative efficiency. Productivity gains over the 12-year period are found to be explained almost entirely by technical progress and by improvements in scale efficiency. Differences in TFP growth rates in the Southeast and Heartland regions were found to be explained primarily by differences in farm size growth rates.

Skill-biased technical change occupied empirical economists for much of the 1990s. The empirical literature firmly established a positive correlation between technology indicators and demand shifts. In the minds of many, that has established a causal relationship. This leap of faith, however, is at odds with Hicks's conventional wisdom that endogenous technological change will be biased toward using cheap and abundant resources. In addition, if the rate of technical change is considered to be endogenous, the assumption of an exogenous bias toward skilled labor should at least be questioned. Two hypotheses explaining endogenous skill bias in technical change have been suggested in the theoretical literature: the acceleration effect and the market size effect. In this paper these are studied in a single endogenous-growth model to derive the sufficient and necessary conditions for both hypotheses. After confronting these conditions with the evidence, the paper concludes that it strongly favors the acceleration hypothesis.

This paper explores the main determinants of productivity growth. The analysis is performed using Spanish firm-level data. We define a framework where the relative magnitudes of alternative, but not exclusive, sources of technical change are simultaneously estimated. Our main finding is that the average total factor productivity (TFP) growth is fully explained by embodied technical progress (i.e., either new capital goods or human capital). Our results contradict the existence of a positive contribution of economywide neutral technological progress in determining average TFP growth. They also leave little room for large, unpriced effects external to the firm, both at the aggregate and at the industry level. We find evidence of firm-specific learning by doing, short-lived and due to adoption of new processes.

This paper utilizes the concept of almost homogeneity to obtain a generalization of the elasticity of factor substitution. From this, an expression for the bias to technical change is derived that explicitly includes the individual degrees of input homogeneity. It is shown that the relative values of these homogeneity parameters can affect the magnitude and direction of the factor-saving bias to technical change. These parameters also influence the size of the residual or unexplained component of aggregate output growth.