31 research outputs found
The supply response of U.S. rice: how decoupled are income payments?
This study examines the decoupled nature of direct payments and counter-cyclical payments to determine if they have an impact on U.S. rice area harvested. A naĂŻve expectations model was specified, with the results indicating that direct payments are decoupled; however, counter-cyclical are not. Overall, the results indicate that a change in the expected gross margin or counter-cyclical payments would stimulate a supply response in rice production. The lack of a significant amount of time-series data renders results of this analysis as preliminary.Agricultural and Food Policy,
The Determinants of On-Farm Renewable Energy Adoption
Agribusiness, Resource /Energy Economics and Policy,
Biofuels and their By-Products: Global Economic and Environmental Implications
The biofuel industry has been rapidly growing around the world in recent years. Several papers have used general equilibrium models and addressed the economy-wide and environmental consequences of producing biofuels at a large scale. They mainly argue that since biofuels are mostly produced from agricultural sources, their effects are largely felt in agricultural markets with major land use and environmental consequences. In this paper, we argue that virtually all of these studies have overstated the impact of liquid biofuels on agricultural markets due to the fact that they have ignored the role of by-products resulting from the production of biofuels. Feed by-products of the biofuel industry, such as Dried Distillers Grains with Solubles (DDGS) and biodiesel by-products (BDBP) such as soy and rapeseed meals, can be used in the livestock industry as substitutes for grains and oilseed meals used in this industry. Hence, their presence mitigates the price impacts of biofuel production on the livestock and food industries. The importance of incorporating by-products of biofuel production in economic models is well recognized by some partial equilibrium analyses of biofuel production. However, to date, this issue has not been tackled by those conducting CGE analysis of biofuels programs. Accordingly, this paper explicitly introduces DDGS and BDBP, the major by-products of grain based ethanol and biodiesel production processes, into a worldwide CGE model and analyzes the economic and environmental impacts of regional and international mandate policies designed to stimulate bioenergy production and use. We first explicitly introduce by-products of biofuel production into the GTAP-BIO database, originally developed by Taheripour et al. (2007). Then we explicitly bring in DDGS and BDBP into the Energy-Environmental version of the Global Trade Analysis Project (GTAP-E) model, originally developed by Burniaux and Truong (2002), and recently modified by McDougall and Golub (2007) and Birur, Hertel, and Tyner (2008). The structure of the GTAP-E model is redesigned to handle the production and consumption of biofuels and their by-products, in particular DDGS, across the world. Unlike many CGE models which are characterized by single product sectors, here grain based ethanol and DDGS jointly are produced by an industry, named EthanolC. The biodiesel industry also produces two products of biodiesel and BDBP jointly. This paper divides the world economy into 22 commodities, 20 industries, and 18 regions and then examines global impacts of the US Energy Independence and Security Act of 2007 and the European Union mandates for promoting biofuel production in the presence of by-products. We show that models with and without by-products demonstrate different portraits from the economic impacts of international biofuel mandates for the world economy in 2015. While both models demonstrate significant changes in the agricultural production pattern across the world, the model with by-products shows smaller changes in the production of cereal grains and larger changes for oilseeds products in the US and EU, and the reverse for Brazil. For example, the US production of cereal grains increases by 10.8% and 16.4% with and without by-products, respectively. The difference between these two numbers corresponds to 646 million bushels of corn. In the presence of by-products, prices change less due to the mandate policies. For example, the model with no by-products predicts that the price of cereal grains grows 22.7% in the US during the time period of 2006 to 2015. The corresponding number for the model with by-products is 14%. The model with no by-products predicts that the price of oilseeds increases by 62.5% in the EU during 2006-2015. In the presence of by-products, this price grows 56.4%. Finally, we show that incorporating DDGS into the model significantly changes the land use consequences of the biofuel mandate polices.Resource /Energy Economics and Policy, Environmental Economics and Policy,
Carbon Accounting and Economic Model Uncertainty of Emissions from Biofuels-Induced Land Use Change
WTO Impacts on US Rice Producing Households
We investigate distributional impacts of WTO reforms on US rice producers. Model results show that rice producer's household income is very sensitive to the amount of market access achieved in export markets and the depth of subsidy cuts in the US, largely explaining the US negotiating position in the WTO
Effects of Manure Use and Use Restrictions on Variable Production Costs and Net Incomes for U.S. Corn Producers
We utilize a treatment effects model to examine if there are differences in costs/profits for
manure-using corn producers versus non-users. We find that manure users have lower peracre
operating costs via reductions in fertilizer and soil conditioner costs; however, the use
of manure reduces grain yields and ultimately leads to no difference in profit. Separate
results indicate that manure-use restrictions do not affect costs or profits; thus policies
could be in place to regulate manure usage without impacting the costs/profit structure of
the farm
The supply response of U.S. rice: how decoupled are income payments?
This study examines the decoupled nature of direct payments and counter-cyclical payments to determine if they have an impact on U.S. rice area harvested. A naĂŻve expectations model was specified, with the results indicating that direct payments are decoupled; however, counter-cyclical are not. Overall, the results indicate that a change in the expected gross margin or counter-cyclical payments would stimulate a supply response in rice production. The lack of a significant amount of time-series data renders results of this analysis as preliminary
Validating Energy-Oriented CGE Models
Although CGE models have received heavy usage, they are often criticized as being insufficiently validated. Key parameters are often not econometrically estimated, and the performance of the model as a whole is rarely checked against historical outcomes. As a consequence, questions frequently arise as to how much faith one can put in CGE results. In this paper, we employ a novel approach to the validation of a widely utilized global CGE model – GTAP-E. By comparing the variance of model generated petroleum price distributions -- driven by historical demand and supply shocks to the model-- with observed five-year moving average price distributions, we conclude that energy demand in GTAP-E is far too price-elastic over this time frame. After incorporating the latest econometric estimates of energy demand and supply elasticities, we revisit the validation question and find the model to perform more satisfactorily. As a further check, we compare a deterministic global general equilibrium simulation, based on historical realizations over the 2001-2006 period during which petroleum prices rose sharply, along with growing global energy demands. As anticipated by the stochastic simulations, the revised model parameters perform much better than the original GTAP-E parameters in this global, general equilibrium context
Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets
Agricultural and energy commodity prices have traditionally exhibited relatively low –
even negative correlation. However, the recent increases in biofuel production have
altered the agriculture-energy relationship in a fundamental way. The amount of corn
utilized for ethanol production in the US has increased from 5% in 2001 to over one-third
by the end of the decade. This increase has drawn corn previously sold to other uses
(exports, food, feed), as well as acreage devoted to other crops (e.g., oilseeds and other
grains). In addition, there has been an increase in the demand for production inputs,
especially fertilizers, which are heavily energy-intensive. In short, the previous “biofuel
decade” has led to significant changes in the US, and indeed the global economy.
In the next five years, the U.S. Renewable Fuels Standard (RFS) envisions a further boost
of ethanol production to 15 billion gallons per year. This might be expected to further
strengthen the linkage between energy prices and agricultural commodity markets.
However, unless oil prices rise sharply, it is likely that the RFS will be binding in 2015 –
that is, the amount of ethanol consumed will be determined by government mandates
rather than by the relative price of oil vs. corn-based ethanol. Under such a scenario, with
an even larger share of corn production going to ethanol, and with that source of demand
potentially becoming unresponsive to price, there is potential for significant increases in
commodity market volatility. Indeed, we estimate that, in the presence of a binding RFS,
the inherent volatility in the US coarse grains market will rise by about one-quarter. And
the volatility of the US coarse grains price to supply side shocks in that market will rise
by nearly one-half.
Under a high oil price scenario, we expect that, rather than the RFS binding, the binding
constraint is likely to be the “blend wall”, i.e. the legal % content of ethanol in gasoline
used by regular automobiles. (This is currently set at 10%.) With a binding blend wall,
we see similar, although somewhat smaller, increases in market volatility. If both the RFS
and the blend wall are simultaneously binding, then US coarse grains price volatility in
response to corn supply shocks is 57% higher than in the non-binding case, and world
price volatility is boosted by 25%. In short, we envision a future in which agricultural
price volatility – particularly for biofuel feedstocks – will depend critically on renewable
energy policies. Indeed, these may dominate the traditional importance of agricultural
commodity policies in many markets