Pollard, Kelvin (author), Jacobsen, Linda A. (author), and Population Reference Bureau (author)
Format:
Book chapter
Publication Date:
2021-06
Published:
United States: Appalachian Regional Commission
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 205 Document Number: D12620
Journal Title Details:
Online
Notes:
Includes a series of charts and tables detailing personal computer and cellular ownership statistics for each county in Appalachia., 26 pgs, The data contained in this Chartbook describe how residents in the Appalachian Region were faring before the COVID-19 pandemic began in March 2020. As such, these numbers do not measure the social and economic impact of the outbreak. The Chartbook data do, however, provide a benchmark: As data from the pandemic and post pandemic period are released in the coming years, these figures can serve as a point of comparison that ultimately can enable data users to better measure the pandemic’s effect on Appalachia’s social and economic dynamics.
25pgs, We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.
