Anita R. Schiller
University of Dundee
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Featured researches published by Anita R. Schiller.
Southern Economic Journal | 2014
Dakshina G. De Silva; Robert P. McComb; Anita R. Schiller
The shift toward renewable forms of energy for electricity generation in the electricity generation industry has clear implications for the spatial distribution of generating plant. Traditional forms of generation are typically located close to the load or population centers, while wind- and solar-powered generation must be located where the energy source is found. In the case of wind, this has meant significant new investment in wind plant in primarily rural areas that have been in secular economic decline. This article investigates the localized economic impacts of the rapid increase in wind power capacity at the county level in Texas. Unlike input-output impact analysis that relies primarily on levels of inputs to estimate gross impacts, we use traditional econometric methods to estimate net localized impacts in terms of employment, personal income, property tax base, and key public school expenditure levels. While we find evidence that both direct and indirect employment impacts are modest, significant increases in per capita income accompany wind power development. County and school property tax rolls also realize important benefits from the local siting of utility scale wind power, although peculiarities in Texas school funding shift localized property tax benefits to the state.
Regional Studies | 2017
Dakshina G. De Silva; Timothy P. Hubbard; Robert P. McComb; Anita R. Schiller
ABSTRACT Entry, growth and survival in the green industry. Regional Studies. Economists are interested in the factors that induce firm entry, lead to growth and help firms succeed in various markets. Such information can be helpful to policy-makers, but, unfortunately, such patterns have not been considered for ‘green industries’. This paper takes advantage of a recent definition of green industries proposed by the US Bureau of Labor Statistics (BLS) to investigate patterns characterizing these industries within the State of Texas.
American Journal of Agricultural Economics | 2016
Dakshina G. De Silva; Timothy P. Hubbard; Anita R. Schiller
We pair an establishment-level dataset from Texas with public information available in the Toxics Release Inventory (TRI) to evaluate the standing of dirty industries in Texas census tracts with a focus on environmental justice concerns. The share of nonwhite residents in a tract is positively correlated with the number of TRI-reporting firms, and an inverse-U-shaped relationship characterizes the number of TRI-reporting firms and a tracts median income. Even after controlling for factor prices and other covariates that might drive firm location decisions, entrants that report to the TRI are more likely to locate in areas with a higher share of nonwhite residents. Firms that report to the TRI are also more likely to enter areas with a low share of college graduates. In contrast, the number of entrants from industries that do not have TRI reporters is negatively related to the percentage of nonwhite residents in a tract. Firms in these non-reporting industries are also more likely to enter areas with a high share of college graduates. Polluters appear to agglomerate, raising concerns about both chemical releases being concentrated in certain tracts, and also affecting nonwhite-dense areas disproportionately. The strength of these effects often depend on an urban/rural classification, with rural areas experiencing the most pronounced concerns. Moreover, TRI-reporting firms are less likely to exit the market relative to their peers that operate in the same industry but do not need to file TRI reports, suggesting that releases may affect a region in the long run.
MPRA Paper | 2011
Dakshina G. De Silva; Robert P. McComb; Anita R. Schiller
Employment in electricity generation from renewable resources has expanded rapidly in the US and in Texas during the last decade. Availability of the Production Tax Credit has been an important driver of this growth. Using a fully-disclosed establishment-level employment and payroll data set for Texas at the NAICS-6 level, we analyze the differences in average wages between firms generating electricity from fossil fuels and those generating electricity from wind power. We compare relative average wages before and after the rapid expansion of wind power development that followed the ex ante renewal of the Production Tax Credit (PTC) in 2006. Using QCEW data, our main finding using both least squares and the nonparametric estimation technique proposed by Racine and Li (2004), is that average payrolls for wind power generators increased relative to fossil fuel-based electricity generators after 2006. As far as we know, this is the first paper that attempts to estimate the indirect impact of the PTC on wind energy industry wages.
Archive | 2009
Dakshina G. De Silva; Robert P. McComb; Young-Kyu Moh; Anita R. Schiller; Andres J. Vargas
The objective of this paper is to employ the Hurricane Katrina evacuation into Houston, TX as a natural experiment to estimate the effect of large scale in-migration on regional earnings. Given the characteristics of the evacuees, their influx would have caused the supply of applicants for lower skilled jobs to increase proportionately more than for higher skilled jobs. We utilize a differences-in-differences-in-differences methodology in which we compare differences in average earnings in the low-skill, non-traded goods industries to the corresponding differences in the set of high skill industries in the Houston and Dallas-Fort Worth MSAs before and after the Katrina-induced migration. Unlike previous studies, we include a measure of the post-storm increase in demand for local goods and services on the demand for labor. We find evidence that the relative average payroll in the low-skill non-tradable goods industries in Houston decreased by .7% when compared to the relative change for the same group of industries in Dallas. Our findings also suggest that failure to account for demand-side influences following the migration results in significant under-estimation of wage effects due to the shift in labor supply.
The American Economic Review | 2010
Dakshina G. De Silva; Robert P. McComb; Young Kyu Moh; Anita R. Schiller; Andres J. Vargas
Natural Hazards | 2011
Robert P. McComb; Young-Kyu Moh; Anita R. Schiller
Natural Hazards | 2011
Anita R. Schiller
The Energy Journal | 2016
Yujie Li; Xiaoyi Mu; Anita R. Schiller; Baowei Zheng
Southern Economic Journal | 2016
Dakshina G. De Silva; Robert P. McComb; Anita R. Schiller