Projects Funded for Connor Jackson


Solar Farms Land Supply: A Dynamic Discrete Choice Model

  • Connor Jackson
  • Tyler Anthony
  • James Sallee


Evaluating Optimal and Second-Best Nitrogen Regulations in California

  • Connor Jackson
  • James Sallee


Specific Objectives of the Project
The goal of this project is to analyze the efficacy, efficiency and equity of plausible regulatory policies that seek to reduce nitrogen emissions from agricultural soils.

Summary of Results
The research team used the funds to develop new understandings and create a research agenda around the use of biogeochemical models to perform policy analysis and an emissions inventory related to greenhouse gas emissions from synthetic fertilizer use in croplands.

We are actively collaborating with a social scientist at UC Berkeley to build a new tool based on the biogeochemical model, DayCent. We have (after some delay) gotten full approval to access the necessary survey data from the USDA. We have vetted our research questions with several experts. We are now building the computer code that will enable us to create the tool that will serve as the basis for our policy analysis and simulation. This ongoing work is being supported by a new Giannini grant, and we have identified several extramural grants to provide additional support.

In the meantime, we have some preliminary conclusions from our research pertaining to the magnitude of the greenhouse gas emissions costs from the use of fertilizers, which we are summarizing in a piece to be sent to ARE update this fall.