Capturing the interactions between biofuels and agricultural industries and their connections with other economic activities was key to a first-of-its kind study.
Over the past 15 years, production and consumption of biofuels have increased in the U.S. due to various factors including market forces and biofuel policies, he said. The Renewable Fuel Standard, or RFS, policy requires transportation fuel sold in the United States to contain a minimum volume of renewable fuels. Examples of renewable fuels include the biofuels ethanol, most often made in the U.S. from corn; and biodiesel, most often made from soybeans. The policy was established in 2005, and was expanded and extended by the Energy Independence and Security Act of 2007.
Farzad Taheripour, the Purdue University agricultural economist who led the study, said, “We found that RFS played a critical role in reducing uncertainties in commodity markets, and its most significant impact was to help farmers use their resources more efficiently. With producing more corn and soybeans, over time the farmers were able to bring fallow land that had been unused back to production, and U.S. annual farm incomes increased by $8.3 billion between 2004 and 2011, with an extra additional annual income of $2.3 billion between 2011 and 2016.”
The economic study looked at both short- and long-term price impacts of policies and other market forces on the expansion of the biofuels industry and was able to identify the impact of each individual market driver. A paper detailing the team’s work is available in the journal Frontiers in Energy Research.
“A hybrid of models is needed to accurately assess the situation – one model can’t capture it all,” said Taheripour, a research professor of agricultural economics and member of Purdue’s Center for Global Trade Analysis or GTAP. “An introduction of a new policy shocks the market, but only for the short term. In the long run, people adjust, things stabilize and the true impact can be seen. For example, we are experiencing a shock now in crude oil. People are reacting to the war in Ukraine and to uncertainty, but we don’t yet know how it will impact the market on a scale of years or decades.”
The team developed economic analyses using both partial and general equilibrium models, which are the best modeling frameworks for short- and long-term analysis, respectively, he said. Through this work the team was able to differentiate the economic impacts of the RFS from other drivers that helped biofuels production grow and to evaluate the short- and long-run price impacts of RFS, as well as the contributions of the policy to improvements in farm incomes and use of agricultural resources.
A key model used by the team was Purdue’s GTAP-BIO computational general equilibrium model for land use analyses related to the environmental, agricultural, energy, trade, and biofuel policies and actions. The model separates oil crops, vegetable oils, and meals into several categories. In addition to the standard commodities and services, the model includes the production and consumption of biofuels — corn ethanol, sugarcane ethanol, and biodiesel — and their by-products of dried distiller grains, commonly referred to as DDGS, and meals.
“The model takes into account the use of commodity feed stocks for food and fuel, and the competition or trade-offs between those and other market uses,” Taheripour said. “It also traces land use and handles intensification in crop production due to technological progress, multicropping and conversion of unused cropland to crop production. This is the first biofuels study to be able to piece out all of these factors individually and to combine that information with short-term models to capture finer and shorter-term impacts.”
“The goal of my research is to guide policy makers to the best and most informed decisions that are safe and benefit us all,” Taheripour said.
