Impact of CARB\u27s Tailpipe Emission Standard Policy on CO2 Reduction among the US States

U.S.Environmental Protection Agency (EPA) set the nationwide emission standard policy, but each state in the U.S. has an option to follow the higher emission standard policy set by CARB (California Air Resources Board) in 2004. There are 14 “CARB states” that follow California’s more restrictive standards. The purpose of this paper is to examine the impact of CARB’s tailpipe emission standard policy. Using the panel dataset for 49 U.S. states over a 28-year study period (1987–2015), this paper found the long-term policy effect in reducing CO2 emission from CARB’s tailpipe standard, and its long-run effect is 5.4 times higher than the short-run effect. The equivalent policy effect of the CARB emission standard in CO2 reduction can be achieved by raising gasoline price by 145.43%. Also, if 26.0% of petroleum consumed for transportation is substituted by alternative clean fuels (natural gas or electricity), it will have a comparable policy effect in CO2 reduction. Findings in this study support to continue the collaborative efforts among the EPA, National Highway Traffic Safety Administration (NHTSA), and California in order to achieve the CO2 reduction goal set by CARB and adopted by the EPA in 2012. The packaged policy approach rooted in persistent public and political support is necessary for successful policy implementation

Essays on the Economic Value of Environmental Cleanup

179 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.We offer three different essays on economic values of environmental cleanup. The first essay summarizes and integrates the previous noxious and hazardous site evaluation studies by a meta analysis. We find that the property value is the most sensitive to water base contamination, published case studies result in systematically greater environmental value than those in unpublished reports, and real estate markets show responses to environmental condition changes. The second study uses sales and assessment data together with survey responses to estimate the local welfare gains to property owners from the cleanup of a contaminated site. This study indicates that home owners' average willingness to pay (WTP) for full cleanup of Sheboygan River is equivalent to $12, 247. The average WTP for full cleanup in Buffalo is$7,833. In addition, we examine the importance of heterogeneous preference by including both demographic characteristics and psychometric data in the model specifications. We find that the psychometric data do not seem to add much beyond the demographic variables. The third essay focuses on the potential spillover from cleanup. We find that households express greater WTP for cleanup of the Lower Buffalo River AOC than to avoid its stigma by moving away. The difference of WTPs might be caused by an environmental premium, a spillover from cleanup. Where it occurs, property values should rebound by more than the discounts evident in the presence of contamination.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

Impact of CARB’s Tailpipe Emission Standard Policy on CO₂ Reduction among the U.S. States

U.S.Environmental Protection Agency (EPA) set the nationwide emission standard policy, but each state in the U.S. has an option to follow the higher emission standard policy set by CARB (California Air Resources Board) in 2004. There are 14 “CARB states„ that follow California’s more restrictive standards. The purpose of this paper is to examine the impact of CARB’s tailpipe emission standard policy. Using the panel dataset for 49 U.S. states over a 28-year study period (1987⁻2015), this paper found the long-term policy effect in reducing CO2 emission from CARB’s tailpipe standard, and its long-run effect is 5.4 times higher than the short-run effect. The equivalent policy effect of the CARB emission standard in CO2 reduction can be achieved by raising gasoline price by 145.43%. Also, if 26.0% of petroleum consumed for transportation is substituted by alternative clean fuels (natural gas or electricity), it will have a comparable policy effect in CO2 reduction. Findings in this study support to continue the collaborative efforts among the EPA, National Highway Traffic Safety Administration (NHTSA), and California in order to achieve the CO2 reduction goal set by CARB and adopted by the EPA in 2012. The packaged policy approach rooted in persistent public and political support is necessary for successful policy implementation

A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things

With the emergence of the Internet of Things (IoT), a large number of physical objects in daily life have been aggressively connected to the Internet. As the number of objects connected to networks increases, the security systems face a critical challenge due to the global connectivity and accessibility of the IoT. However, it is difficult to adapt traditional security systems to the objects in the IoT, because of their limited computing power and memory size. In light of this, we present a lightweight security system that uses a novel malicious pattern-matching engine. We limit the memory usage of the proposed system in order to make it work on resource-constrained devices. To mitigate performance degradation due to limitations of computation power and memory, we propose two novel techniques, auxiliary shifting and early decision. Through both techniques, we can efficiently reduce the number of matching operations on resource-constrained systems. Experiments and performance analyses show that our proposed system achieves a maximum speedup of 2.14 with an IoT object and provides scalable performance for a large number of patterns

Waste Sites and Property Values: A Meta-Analysis

Meta analysis, Hedonic method, Property values, Waste sites, Q24, R14,

Meta-Functional Transfer of Hedonic Property Values: Application to Great Lakes Areas of Concern

This paper explores the use of functional benefits transfer to forecast the effects of waste sites on property values. The results of a meta-analysis of hedonic studies of waste sites are coupled with spatial analysis techniques to produce estimates of the effects of toxic contamination in Areas of Concern (AOCs) in the U.S. Great Lakes. Based on U.S. Census data for median home values, the methods used here suggest that approximately $5.2 billion (2005 dollars) have been lost in residential property values surrounding twenty-three of the AOCs. This compares to estimates that place the cost of remediation of all U.S. AOCs at up to$4.5 billion (2005 dollars). The case study also identifies issues surrounding the use of a meta-analysis with hedonic property value studies to support functional transfer

Meta-Functional Transfer of Hedonic Property Values: Application to Great Lakes Areas of Concern

This paper explores the use of functional benefits transfer to forecast the effects of waste sites on property values. The results of a meta-analysis of hedonic studies of waste sites are coupled with spatial analysis techniques to produce estimates of the effects of toxic contamination in Areas of Concern (AOCs) in the U.S. Great Lakes. Based on U.S. Census data for median home values, the methods used here suggest that approximately $5.2 billion (2005 dollars) have been lost in residential property values surrounding twenty-three of the AOCs. This compares to estimates that place the cost of remediation of all U.S. AOCs at up to$4.5 billion (2005 dollars). The case study also identifies issues surrounding the use of a meta-analysis with hedonic property value studies to support functional transfer.benefits transfer, meta-analysis, hedonic method, property values, Great Lakes, Areas of Concern, Environmental Economics and Policy,

A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems

Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to limited computation resources. To address this problem, we develop a novel distributed network intrusion detection system based on theWu–Manber algorithm. In the proposed system, the algorithm is divided into two steps; the first step is dedicated to a sensor node, and the second step is assigned to a base station. In addition, the first step is modified to achieve efficient performance under limited computation resources. We conduct evaluations with random string sets and actual intrusion signatures to show the performance improvement of the proposed method. The proposed method achieves a speedup factor of 25.96 and reduces 43.94% of packet transmissions to the base station compared with the previously proposed method. The system achieves efficient utilization of the sensor nodes and provides a structural basis of cooperative systems among the sensors

A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems

Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to limited computation resources. To address this problem, we develop a novel distributed network intrusion detection system based on theWu–Manber algorithm. In the proposed system, the algorithm is divided into two steps; the first step is dedicated to a sensor node, and the second step is assigned to a base station. In addition, the first step is modified to achieve efficient performance under limited computation resources. We conduct evaluations with random string sets and actual intrusion signatures to show the performance improvement of the proposed method. The proposed method achieves a speedup factor of 25.96 and reduces 43.94% of packet transmissions to the base station compared with the previously proposed method. The system achieves efficient utilization of the sensor nodes and provides a structural basis of cooperative systems among the sensors