![]() |
![]() |
![]() |
|
Research:
All Research |
= $year ?> ResearchProject
Number: Research
Project: P.I. Name & Address:
Project Objective: Using state-level data from the 48 contiguous states, we will model manufacturing production and cost, incorporating state and local investment in port and highway infrastructure as variables in the model. We incorporate spatial autocorrelation, which will allow us to quantify the extent to which a state benefits from port and highway investment in neighboring states. We will also be able to quantify the complementarity between port and highway infrastructure. This will allow us to test whether gains in productivity can be derived from increasing one aspect of transportation infrastructure (eg. ports) while holding investment in another (eg. highways) constant. While this model utilizes state-level data on manufacturing, it can be extended along a few lines.First, our model could be applied to other industries that are dependent on port activity, such as wholesale or retail trade.Second, the model could be further disaggregated to examine benefits to employment and output at a county level. This is especially relevant for California, where many inland counties benefit from activities in Los Angeles county. Task
Descriptions: Milestones,
Dates: Total
Budget: Student
Involvement: Relationship
to Other Research
Projects: Technology
Transfer Activities: Potential
Benefits of the Project: TRB
Keywords: Primary
Subject: Goals: Enabling
Research: Modal
Orientation: |