Filtering by
- All Subjects: environmental justice
- Creators: Minteer, Ben
- Creators: Harlan, Sharon L
- Member of: Theses and Dissertations
- Status: Published
To examine what drives LaSLA, I used country level data from 2005 to 2013 on economic conditions, natural resources, business practices, and governance to estimate LaSLA models. I find that LaSLA increases with increasing government effectiveness, land prices, and the ease of doing business, and decreases with stronger regulatory regimes. To assess LaSLA's impacts on local people, I conducted a comparative case study in Tanzania. I compare changes in peoples' livelihood between treatment villages (those experiencing LaSLA) and control villages (those without LaSLA projects). The results show that under current practices, the risks of LaSLA outweigh the benefits to local livelihoods, yet there are potential benefits if LaSLA is implemented correctly.
To philosophically examine whether LaSLA can be considered just and ethical, I apply John Rawls' theory of justice. The analysis indicates that from both procedural and distributive justice perspective, LaSLA currently fails to satisfy Rawlsian principles of justice. From these analyses, I conclude that if implemented correctly, LaSLA can produce a win-win outcome for both investors and host countries. I suggest that strong governance, rigorous environmental and social impact assessment, and inclusion of local people at all levels of LaSLA decision making are critical for sustainable and equitable outcomes.
Environmental hazards and disaster researchers have demonstrated strong associations between sociodemographic indicators, such as age and socio-economic status (SES), and hazard exposures and health outcomes for individuals and in certain communities. At the same time, behavioral health and risk communications research has examined how individual psychology influences adaptive strategies and behaviors in the face of hazards. However, at present, we do not understand the explanatory mechanisms that explain relationships between larger scale social structure, individual psychology, and specific behaviors that may attenuate or amplify risk. Extreme heat presents growing risks in a rapidly warming and urbanizing world. This dissertation examines the social and behavioral mechanisms that may explain inequitable health outcomes from exposure to concurrent extreme heat and electrical power failure in Phoenix, AZ and extreme heat in Detroit, MI. Exploratory analysis of 163 surveys in Phoenix, AZ showed that age, gender, and respondent’s racialized group identity did not relate to thermal discomfort and self-reported heat illness, which were only predicted by SES (StdB = -0.52, p < 0.01). Of the explanatory mechanisms tested in the study, only relative air conditioning intensity and thermal discomfort explained self-reported heat illness. Thermal discomfort was tested as both a mechanism and outcome measure. Content analysis of 40 semi-structured interviews in Phoenix, AZ revealed that social vulnerability was associated with an increase in perceived hazard severity (StdB = 0.44, p < 0.01), a decrease in perceived adaptation efficacy (StdB = -0.38, p = 0.02), and an indirect increase (through adaptive efficacy) in maladaptive intentions (StdB = 0.18, p = 0.01). Structural equation modeling of 244 surveys in Phoenix, AZ and Detroit, MI revealed that relationships between previous heat illness experience, perceived heat risk, and adaptive intentions were significantly moderated by adaptive capacity: high adaptive capacity households were more likely to undertake adaptive behaviors, and those decisions were more heavily influenced by risk perceptions and previous experiences. However, high adaptive capacity households had lower risk perceptions and fewer heat illness experiences than low adaptive capacity households. A better understanding of the mechanisms that produce social vulnerability can facilitate more salient risk messaging and more targeted public health interventions. For example, public health risk messaging that provides information on the efficacy of specific adaptations may be more likely to motivate self-protective action, and ultimately protect populations.