Size and Growth of Japanese Plants in the United States

Using a unique database on all Japanese manufacturing plants in the United States, we examine the relationship between plant size and growth for these foreign-owned plants. These plants average sizes are three times larger than comparable U.S. plants and experienced 30 percent growth from 1987 through 1990, while U.S. average plant sizes declined over the same period. Our estimates strongly reject Gibrat's Law for these plants, and suggest that smaller plants grow faster. We also find learning affects plant-level growth. Newer plants grow quicker and previous investments by the parent firm mean slower growth, particularly for automobile-related plants. Both are consistent with inexperienced firms growing faster as they learn.

Planning for Active Transportation in the Western United States: An Alternative Future for Cache Valley, Utah

Mobility in the western U.S. is defined primarily by the private automobile. Since the conclusion of WWII, the private automobile has become readily available to the public, and as a result, has heavily influenced the design of our modern cities in the west. In recent years the connections between high motor vehicle use and rising obesity rates, crumbling road infrastructure, and deteriorating air quality have caused city officials to reexamine the transportation systems of the west. One solution advocates, city officials, and planning professionals have begun examining is active transportation (walking, cycling, and public transit). Research suggests that a robust active transportation network not only diversifies mobility options, it also encourages compact urban development, cleaner air, and a move active population. This thesis developed a methodology for examining and documenting the components of an active transportation network in the western U.S. This was done though a comprehensive literature review to glean important active transportation policies, infrastructure, and best practices. Then, two western U.S. case study cities with relatively high amounts of cycling, walking, and public transit use were selected and analyzed with site visits and planning professional interviews. The data gathered throughout this first phase of the research was then synthesized, and reoccurring themes about cycling, walking and public transit were identified. These themes were labeled as the prerequisites for active transportation in cities of the western U.S. and were documented and prioritized based on their potential impact. The themes were vetted by planning professionals in the two case study cities as well as in Cache Valley to insure accuracy and validity. A final version of the prerequisites was then documented. The final phase of this research applied the prerequisites to the transportation system in Cache Valley, UT in order to insure the list was valid and reproducible under a variety of conditions. The outcome of this phase was GIS map displaying an alternative future for active transportation in Cache Valley, UT

Multi-scale modeling of follicular ovulation as a reachability problem

During each ovarian cycle, only a definite number of follicles ovulate, while the others undergo a degeneration process called atresia. We have designed a multi-scale mathematical model where ovulation and atresia result from a hormonal controlled selection process. A 2D-conservation law describes the age and maturity structuration of the follicular cell population. In this paper, we focus on the operating mode of the control, through the study of the characteristics of the conservation law. We describe in particular the set of microscopic initial conditions leading to the macroscopic phenomenon of either ovulation or atresia, in the framework of backwards reachable sets theory

Tariff-jumping FDI and Domestic Firms' Profits

Studies of the welfare implications of trade policy often do not take account of the potential for tariff-jumping FDI to mitigate positive gains to domestic producers. We use event study methodology to examine the market effects for U.S. domestic firms that petitioned for antidumping (AD) relief, as well as the effect of announcements of FDI by their foreign rivals in the U.S. market on these U.S. petitioning firms. On average, affirmative U.S. AD decisions are associated with 3% abnormal gains to a petitioning firm when there is no tariff-jumping FDI, but no abnormal gains if there is tariff-jumping FDI. The evidence for this mitigating effect is strongest when announcements of the intended tariff-jumping FDI have already occurred before an AD decision takes place, which happened in a fair number of cases. We also find evidence that the announcements of plant expansions (and, to some extent, new plants) have significantly larger negative effects on U.S. domestic firms' profits than other types of FDI, including acquisitions and joint ventures.

Stability Analysis of Wholesale Electricity Markets under Dynamic Consumption Models and Real-Time Pricing

This paper analyzes stability conditions for wholesale electricity markets under real-time retail pricing and realistic consumption models with memory, which explicitly take into account previous electricity prices and consumption levels. By passing on the current retail price of electricity from supplier to consumer and feeding the observed consumption back to the supplier, a closed-loop dynamical system for electricity prices and consumption arises whose stability is to be investigated. Under mild assumptions on the generation cost of electricity and consumers' backlog disutility functions, we show that, for consumer models with price memory only, market stability is achieved if the ratio between the consumers' marginal backlog disutility and the suppliers' marginal cost of supply remains below a fixed threshold. Further, consumer models with price and consumption memory can result in greater stability regions and faster convergence to the equilibrium compared to models with price memory alone, if consumption deviations from nominal demand are adequately penalized.Comment: 8 pages, 7 Figures, accepted to the 2017 American Control Conferenc