Natural Resource Curse and Poverty in Appalachian America

The Appalachian mountain region has long been characterized by deep poverty which led to the formation of the Appalachian Regional Commission (ARC) in 1965. The ARC region covers West Virginia and parts of 12 other states, running from New York to Mississippi (Ziliak 2012). The ARC region had an average county poverty rate of over 40 percent in 1960, about double the national average (Deaton and Niman 2012; Ziliak 2012). While the poverty gap between the ARC region and the rest of the nation closed significantly by 1990, it remained nearly twice as large in Central Appalachia. There are many reasons for higher poverty in Appalachia in general and Central Appalachia in particular. Possible causes include a low-paying industry structure, below average education, low household mobility, and remoteness from to cities (Weber et al. 2005; Partridge and Rickman 2005; Lobao 2004). A key distinction between Central Appalachia and the rest of the ARC region is its historic dependence on coal mining. There is long literature arguing that the area’s dependence on coal mining has contributed to its deep poverty through weaker local governance, entrepreneurship, and educational attainment, as well as degrading the environment, poor health outcomes, and limitations on other economic opportunities (Deaton and Niman 2012; James and Aadland 2011). These factors are broadly associated with the natural resources curse in the international development literature. More recently, the process of mountain top mining (MTM) has expanded coal mining’s environmental footprint in the region, possibly increasing health risks and further reducing the chances for long-term amenity-led growth that can alleviate poverty (Deller 2010; Woods and Gordon 2011). This study reinvestigates the causes of county poverty rates in Appalachia with a special focus on coal mining’s role. Using data over the 1990-2010 period we assess whether coal mining continues to have a positive association with poverty rates, even as the industry’s relative size has declined. We also appraise whether MTM is associated with higher poverty. We do this by comparing the ARC region to the rest of the U.S. and by using more disaggregated employment data that allows us to differentiate the effects of coal mining from other mining (versus aggregating all mining together as in past research). The results suggest that any potential adverse effects of coal mining on poverty have declined over time. Below, we first develop an empirical model followed by the empirical results. The final section provides our concluding thoughts

A moving-point approach to model shallow ice sheets: a study case with radially symmetrical ice sheets

Predicting the evolution of ice sheets requires numerical models able to accurately track the migration of ice sheet continental margins or grounding lines. We introduce a physically based moving-point approach for the flow of ice sheets based on the conservation of local masses. This allows the ice sheet margins to be tracked explicitly. Our approach is also well suited to capture waiting-time behaviour efficiently. A finite-difference moving-point scheme is derived and applied in a simplified context (continental radially symmetrical shallow ice approximation). The scheme, which is inexpensive, is verified by comparing the results with steady states obtained from an analytic solution and with exact moving-margin transient solutions. In both cases the scheme is able to track the position of the ice sheet margin with high accuracy

Modifying monolayer behaviour by incorporating subphase additives and improving Langmuir–Blodgett thin film deposition on optical fibres

Experiments showing the possibility of modifying the behaviour of calix[4]resorcinarene monolayers at the air–water interface and optimising the deposition of multilayer coatings onto optical fibres are presented. The nature of the subphase is fundamental to the behaviour of monolayers and their utility in coating and sensing applications. Here we show initial studies exploring the modification of the calix[4]resorcinarene monolayer–water interaction through the introduction of dipole altering alcohol additives to the aqueous subphase. We explored the effect of this modification for three small alcohols. The resulting isotherms of the materials showed a reduction in the surface pressure and area per molecule required in order for the monolayer to reach its point of collapse. Incorporation of alcohols shifted the point of collapse, leading to the application of ethanol being successful in improving the transfer of material via Langmuir–Blodgett coating onto optical fibres at lower pressures. This method may prove useful in allowing greater control over future sensor surface coatings

Conventional versus highly cross-linked polyethylene in primary total knee replacement : a comparison of revision rates using data from the National Joint Registry for England, Wales, and Northern Ireland

There is evidence to support the use of highly cross-linked polyethylene (HXLPE) in patients undergoing total hip arthroplasty. However, the benefits for those undergoing total knee arthroplasty are uncertain, with conflicting reports based on previous cohort analyses. The purpose of the present study was to compare the revision rates following primary total knee arthroplasty with use of HXLPE as compared with conventional polyethylene (CPE) using data from the National Joint Registry (NJR) for England, Wales and Northern Ireland. We performed a retrospective analysis of primary total knee arthroplasties recorded in the NJR from 2003 to 2014. Cobalt-chromium (CoCr)-CPE and CoCr-HXLPE bearing surfaces were compared using all-cause revision, aseptic revision, and septic revision as end points. Survival analyses were conducted using rates per 100 years observed, Kaplan-Meier survival estimates, and Cox regression hazard ratios (HRs) adjusted for age, sex, American Society of Anesthesiologists (ASA) classification, body mass index (BMI), lead surgeon grade, and implant constraint. Secondary analyses compared the most commonly used HXLPEs (Zimmer Prolong, DePuy XLK, and Stryker X3) against CPE for the 3 most common total knee arthroplasty systems (NexGen, PFC Sigma, and Triathlon). In the present study of 550,658 total knee arthroplasties, the unadjusted aseptic revision rates were significantly lower following procedures performed with CPE (n = 513,744) as compared with those performed with HXLPE total knee replacements (n = 36,914) (0.29 [95% confidence interval (CI), 0.28 to 0.30] compared to 0.38 [95% CI, 0.35 to 0.42], p 35 kg/m, the "second-generation" Stryker X3 HXLPE demonstrated significantly better survival than its respective CPE, with CPE having an HR of 2.6 (95% CI, 1.2 to 5.9) (p = 0.02). Alternative bearings are marketed as having improved wear properties over traditional CoCr-CPE. This registry-based analysis demonstrated no overall survival benefit of HXLPE after a maximum duration of follow-up of 12 years. Because of their increased cost, the routine use of HXLPE bearings may not be justified. However, they may have a role in specific "higher demand" groups such as patients 35 kg/m. Therapeutic Level III. See Instructions for Authors for a complete list of levels of evidence

Country Road Take Me Home: Migration Patterns in the Appalachia America and Place-Based Policy

This research fills a void in the regional development literature by assessing how labor force migration affects regional adjustment in peripheral regions and whether it differs than the rest of the country. We do this by comparing patterns for the lagging Appalachian region to the U.S. as a whole for the 1990s and post-2000 periods. We appraise whether successful job creation helps the original residents seeking employment, or primarily goes to outsiders, rendering place-based development policy ineffective. In a novel addition, we also appraise whether local job creation is associated with attracting relatively wealthier net-migrants. Because different relative migration elasticities imply different responses for other labor market outcomes, we also assess whether employment growth supports original residents in terms of lifting median household incomes and employment/population rates and reducing unemployment rates and poverty rates. We find that migration post-2000 has become less responsive to employment growth differentials, which allows successful economic development to lift the employment prospects of original residents, which also produces a stronger response in reducing local poverty rates

Country Road Take Me Home: Migration Patterns in the Appalachia America and Place-Based Policy

This research fills a void in the regional development literature by assessing how labor force migration affects regional adjustment in peripheral regions and whether it differs than the rest of the country. We do this by comparing patterns for the lagging Appalachian region to the U.S. as a whole for the 1990s and post-2000 periods. We appraise whether successful job creation helps the original residents seeking employment, or primarily goes to outsiders, rendering place-based development policy ineffective. In a novel addition, we also appraise whether local job creation is associated with attracting relatively wealthier net-migrants. Because different relative migration elasticities imply different responses for other labor market outcomes, we also assess whether employment growth supports original residents in terms of lifting median household incomes and employment/population rates and reducing unemployment rates and poverty rates. We find that migration post-2000 has become less responsive to employment growth differentials, which allows successful economic development to lift the employment prospects of original residents, which also produces a stronger response in reducing local poverty rates

Data assimilation for moving mesh methods with an application to ice sheet modelling

We develop data assimilation techniques for nonlinear dynamical systems modelled by moving mesh methods. Such techniques are valuable for explicitly tracking interfaces and boundaries in evolving systems. The unique aspect of these assimilation techniques is that both the states of the system and the positions of the mesh points are updated simultaneously using physical observations. Covariances between states and mesh points are generated either by a correlation structure function in a variational context or by ensemble methods. The application of the techniques is demonstrated on a one-dimensional model of a grounded shallow ice sheet. It is shown, using observations of surface elevation and/or surface ice velocities, that the techniques predict the evolution of the ice sheet margin and the ice thickness accurately and efficiently. This approach also allows the straightforward assimilation of observations of the position of the ice sheet margin

Dark Matter Search

The SuperCDMS SNOLAB is the first low-mass dark matter detector in the cryogenics system at SLAC. It is designed to be sensitive to detect dark matter down to 300 MeV in mass and resolve individual electrons-hole pairs from low energy scattering events in high purity Ge and Si crystals. The purpose is to simulate electrostatic fields within the detector medium and run detailed particle physics simulations to attempt to match simulation to observed detector response for the first time with detectors of this size using the GEANT4 simulation package, and SuperCDMS solid-state simulations. The simulation code is written in C++, my objective was to modify the probability of the electrons inter-valley scattering in the crystal. The previous function’s input was an electric field voltage the problem with this method was that it did not provide any underlining physics of the electron within the crystal. However, we added a physical model for the inter-valley scattering that instead intakes the energy of the electron and produces the probability of a particular electron’s propagation within the crystal. The results are still in progress and will be discussed in the poster. In conclusion, we hope that this new method will produce the same graphs as the previous method and in addition provides the underlying physics of the electron inside the crystal

Natural Resource Curse and Poverty in Appalachian America

The Appalachian mountain region has long been characterized by deep poverty which led to the formation of the Appalachian Regional Commission (ARC) in 1965. The ARC region covers West Virginia and parts of 12 other states, running from New York to Mississippi (Ziliak 2012). The ARC region had an average county poverty rate of over 40 percent in 1960, about double the national average (Deaton and Niman 2012; Ziliak 2012). While the poverty gap between the ARC region and the rest of the nation closed significantly by 1990, it remained nearly twice as large in Central Appalachia. There are many reasons for higher poverty in Appalachia in general and Central Appalachia in particular. Possible causes include a low-paying industry structure, below average education, low household mobility, and remoteness from to cities (Weber et al. 2005; Partridge and Rickman 2005; Lobao 2004). A key distinction between Central Appalachia and the rest of the ARC region is its historic dependence on coal mining. There is long literature arguing that the area’s dependence on coal mining has contributed to its deep poverty through weaker local governance, entrepreneurship, and educational attainment, as well as degrading the environment, poor health outcomes, and limitations on other economic opportunities (Deaton and Niman 2012; James and Aadland 2011). These factors are broadly associated with the natural resources curse in the international development literature. More recently, the process of mountain top mining (MTM) has expanded coal mining’s environmental footprint in the region, possibly increasing health risks and further reducing the chances for long-term amenity-led growth that can alleviate poverty (Deller 2010; Woods and Gordon 2011). This study reinvestigates the causes of county poverty rates in Appalachia with a special focus on coal mining’s role. Using data over the 1990-2010 period we assess whether coal mining continues to have a positive association with poverty rates, even as the industry’s relative size has declined. We also appraise whether MTM is associated with higher poverty. We do this by comparing the ARC region to the rest of the U.S. and by using more disaggregated employment data that allows us to differentiate the effects of coal mining from other mining (versus aggregating all mining together as in past research). The results suggest that any potential adverse effects of coal mining on poverty have declined over time. Below, we first develop an empirical model followed by the empirical results. The final section provides our concluding thoughts