GROWTH MANAGEMENT TOOLS AND PROGRAMS TARGETING SPECIFIC OUTCOMES WITH NON-MARGINAL INSTITUTIONAL CHANGE

Communities across the country are struggling to accommodate population growth and economic development while limiting negative impacts of associated land development patterns.. At federal, state and local levels, policies and programs are being implemented in an attempt to mitigate the negative impacts of growth. Many of these programs are united under the concept of Smart Growth. There are numerous resources available that explain and describe applications of tens, if not hundreds, of smart growth tools (for example: see ICMA, 2003). The purpose of this paper is to highlight a few growth management programs that have incorporated tools characterized by fairly significant institutional changes. Of particular interest are the economic incentives and disincentives created by the institutional change. First, sprawl and growth management are defined. Next, the role of federal policy in growth patterns is reviewed briefly. Third, specific examples of growth management policy tools are provided. Finally, several policy issues critical to the achievement of growth management are discussed. Because this paper was initially presented as a general resource for public policy educators, the background material references include an internet site where available.Institutional and Behavioral Economics,

ENVIRONMENTAL REGULATIONS AS CONSTRAINTS TO AGRICULTURE: A DISCUSSION

Environmental Economics and Policy,

ENVIRONMENTAL REGULATORY REFORM: DISCUSSION

Environmental Economics and Policy,

Near-Field Cosmology with Metal-Poor Stars

The oldest, most metal-poor stars in the Galactic halo and satellite dwarf galaxies present an opportunity to explore the chemical and physical conditions of the earliest star forming environments in the Universe. We review the fields of stellar archaeology and dwarf galaxy archaeology by examining the chemical abundance measurements of various elements in extremely metal-poor stars. Focus on the carbon-rich and carbon-normal halo star populations illustrates how these provide insight into the Population III star progenitors responsible for the first metal enrichment events. We extend the discussion to near-field cosmology, which is concerned with the formation of the first stars and galaxies and how metal-poor stars can be used to constrain these processes. Complementary abundance measurements in high-redshift gas clouds further help to establish the early chemical evolution of the Universe. The data appear consistent with the existence of two distinct channels of star formation at the earliest times.Comment: 126 pages, 12 figures, Annual Review of Astronomy and Astrophysics (ARA&A), in pres

The Most Metal-Poor Stars. V. The CEMP-no Stars in 3D and Non-LTE

We explore the nature of carbon-rich ([C/Fe]_{1D,LTE} > +0.7), metal-poor ([Fe/H_{1D,LTE}] < -2.0) stars in the light of post 1D,LTE literature analyses, which provide 3D-1D and NLTE-LTE corrections for iron, and 3D-1D corrections for carbon (from the CH G-band, the only indicator at lowest [Fe/H]). High-excitation C~I lines are used to constrain 3D,NLTE corrections of G-band analyses. Corrections to the 1D,LTE compilations of Yoon et al. and Yong et al. yield 3D,LTE and 3D,NLTE Fe and C abundances. The number of CEMP-no stars in the Yoon et al. compilation (plus eight others) decreases from 130 (1D,LTE) to 68 (3D,LTE) and 35 (3D,NLTE). For stars with -4.5 < [Fe/H] < -3.0 in the compilation of Yong et al., the corresponding CEMP-no fractions change from 0.30 to 0.15 and 0.12, respectively. We present a toy model of the coalescence of pre-stellar clouds of the two populations that followed chemical enrichment by the first zero-heavy-element stars: the C-rich, hyper-metal-poor and the C-normal, very-metal-poor populations. The model provides a reasonable first-order explanation of the distribution of the 1D,LTE abundances of CEMP-no stars in the A(C) and [C/Fe] vs. [Fe/H] planes, in the range -4.0 < [Fe/H] < -2.0. The Yoon et al. CEMP Group I contains a subset of 19 CEMP-no stars (14% of the group), 4/9 of which are binary, and which have large [Sr/Ba]_{1D,LTE} values. The data support the conjectures of Hansen et al. (2016b, 2019) and Arentsen et al. (2018) that these stars may have experienced enrichment from AGB stars and/or "spinstars".Comment: ApJ in pres

Economic Impacts of Residential Property Abandonment and the Genesee County Land Bank in Flint, Michigan

Describes the land bank model, which allows local public authorities to manage and develop tax-foreclosed properties with a focus on returning them to productive use, and summarizes the activities of a successful land bank effort in Flint, Michigan

VIRGINIA FARMERS' SOIL CONSERVATION DECISIONS: AN APPLICATION OF TOBIT ANALYSIS

Using data from a survey of farm operators in two Virginia counties, the authors analyze farmers' soil conservation decisions. Results indicate that financial factors, including income and debt, are the most important influences on the sample farmers' use of conservation practices. Additional factors such as perception of erosion, education level, off-farm employment, and tenancy also influence conservation expenditures. Factors influencing conservation tillage acreage differ from those influencing expenditures for other conservation practices. In particular, age and race of the operator and on-farm erosion potential are significantly related to the use of conservation tillage but not other practices. These results are discussed in terms of their implications for conservation programs.Resource /Energy Economics and Policy,

Placing dynamic sensors and actuators on flexible space structures

Input/Output Cost Analysis involves decompositions of the quadratic cost function into contributions from each stochastic input and each weighted output. In the past, these suboptimal cost decomposition methods of sensor and actuator selection (SAS) have been used to locate perfect (infinite bandwidth) sensor and actuators on large scale systems. This paper extends these ideas to the more practical case of imperfect actuators and sensors with dynamics of their own. NASA's SCOLE examples demonstrate that sensor and actuator dynamics affect the optimal selection and placement of sensors and actuators

AGRICULTURAL PRODUCERS' WILLINGNESS TO PAY FOR REAL-TIME MESOSCALE WEATHER INFORMATION: A RESPONSE

Farm Management,