National Center for Smart Growth

Permanent URI for this communityhttp://hdl.handle.net/1903/21472

The National Center for Smart Growth (NCSG) works to advance the notion that research, collaboration, engagement and thoughtful policy development hold the key to a smarter and more sustainable approach to urban and regional development. NCSG is based at the University of Maryland, College Park, housed under the School of Architecture, Planning, and Preservation, with support from the College of Agriculture & Natural Resources, the A. James Clark School of Engineering, the School of Public Policy, and the Office of the Provost.

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    Information Technology in the 1990s: More Footloose or More Location-bound?
    (2002) Sohn, Jungyul
    This paper examines if information technology has worked towards dispersion or concentration of economic activities in two steps of analysis. The first analysis using locational Gini coefficient and Moran’s I focuses on distribution of the urban area as a whole and finds that dispersion was prominent over the years. The second analysis using Gi* statistic as the dependent variable in the regression model, however, shows that the technology has induced more concentration rather than dispersion at an intrametropolitan scale, reflecting that there is a discrepancy in the results of the two analyses depending on the spatial scale of the analysis.
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    Does Job Creation Tax Credit Program in Maryland Induce Spatial Employment Growth or Redistribution?
    (2002) Knaap, Gerrit; Sohn, Jungyul
    The Job Creation Tax Credit (JCTC) program is one of the five major Smart Growth Programs initiated by the State of Maryland in 1996 and amended in 1997. Like other tax credit programs it is intended to create jobs, but it is also a place-based policy in the sense that eligibility is limited to jobs created in Priority Funding Areas (PFAs). This paper examines whether the JCTC program has furthered the goals of smart growth by concentrating job growth within well defined regions of the state. Towards this end, both the number and the relative share of employment inside and outside of the PFAs are compared using three econometric models. The empirical analysis examines employment in five economic sectors ((1) primary, (2) manufacturing, (3) transportation, communication and utilities (T.C.U.), (4) finance, insurance and real estate (F.I.R.E.) and (5) services) over the years (1994 to 1998) using ZIP Code data. The result shows that jobs in the T.C.U. and services industries have responded to the state incentive program while three other sectors have not; the distribution of jobs in the primary sector have grown counter to the state incentive policy and jobs in manufacturing and F.I.R.E. have been unaffected by the program.