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ID:
180098
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| Summary/Abstract |
The path towards light-duty vehicle electrification promises benefits like lower costs for drivers and reduced environmental externalities for all. Incentives such as electric vehicle rebates assist with alleviating high capital costs of alternative fuel cars. We uncover distributional effects of plug-in electric vehicle rebates, focusing on a program in the State of California. We use economic attributes representative of populations of census tracts as well as data on rebates distributed to plug-in electric vehicle buyers through the Clean Vehicle Rebate Project from 2010 to 2018. Horizontal and vertical equity measures are evaluated, while measurement of spatial association characterizes spatial patterns of rebates allocation across the State. We evaluate the distributional fairness of rebates allocation between income groups and disadvantaged communities. We find that rebates have been predominantly given to high income electric vehicle buyers. However, the share of rebates distributed to low-income groups and disadvantaged communities increased over time and after an income-cap policy was put into effect. Spatial analysis shows high spatial clustering effects and rebates concentration in major metropolitan regions. We reveal neighborhood effects: communities with lower median income or disadvantaged receive higher rebate amounts when these are geographic neighbors to clusters characterized as high rebate amount receivers.
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| 2 |
ID:
089988
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| Publication |
2009.
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| Summary/Abstract |
This paper describes the spatio-temporal trends in terrorist incidents in the United States, from 1970 through 2004. Utilizing the Global Terrorism Database (GTD) and ancillary data, we examine both the frequency of incidents and their characteristics: location, target type, attack type, weapon type, and perpetrator group. While the frequency of terrorist incidents has declined since the 1970s, there still is significant activity nationwide. Instead of urban-rural or West Coast-East Coast divisions, the pattern is a more complex mosaic based on group identity, target, and weapon type. We conclude that there is an explicit geography of terrorism, one that is quite decentralized and highly localized.
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