Julius McGee
Address: Portland, Oregon, United States
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Papers by Julius McGee
industrial emissions.
the growth rate of CO2 emissions has declined in many developed nations, cumulating to a recent period of decoupling
between economic growth and CO2 emissions. The aim of the present study is to advance research on socioeconomic
drivers of CO2 emissions by assessing how the distribution of income affects the relationship between economic
growth and CO2 emissions. The authors find that from 1985 to 2011, rising income inequality leads to a tighter coupling
between economic growth and CO2 emissions in developed nations. Additionally, the authors find that increases in the
top 20 percent of income earners’ share of national income have resulted in a larger association between economic
growth and CO2 emissions, while increases in the bottom 20 percent of income earners’ share of national income
reduced the association between economic growth and CO2 emissions.
about the Jevons paradox and the rebound effect. To help clarify a variety of misunderstandings, we distinguish between the empirical claim that efficiency is often associated with rising resource consumption and the causal claim that efficiency
leads to greater resource use. We show that at a variety of levels, a positive correlation between efficiency and resource
consumption is common, suggesting that there is something to be explained. We then present various reasons that may
explain these associations, some of which do not suggest a direct causal link between efficiency and consumption, but rather a connection through other mediating factors, and some of which do suggest a causal connection. We note that political
economic theories propose that the effect of efficiency on consumption levels is not necessarily immediate and direct, but
rather due to how it affects developmental pathways. We present an empirical analysis, using panel data on nations, which shows that more efficient nations tend to have higher rates of growth in electricity
employed methodological approach within social science research, largely used to understand the complex relationships
between human social systems and the non-human environment. The general assumption of the model is that anthropogenic
environmental impacts are a multiplicative function of population, affluence, and technology. While previous STIRPAT
research has examined the impact of technology in terms of urbanization, estimating the specific effect of urban population,
we argue that this measure is better understood as a proxy for modernization. As an alternative, we frame urbanization as a
multidimensional driver of environmental change, and we operationalize the technology dimension through cross-national data on impervious surface area, or what we call ‘terrestrial technology’. To demonstrate the potential of this example for environmental sociology, we draw from political economy to show how operationalizing technology offers a stronger, more nuanced understanding of the socioeconomic drivers of environmental degradation. Analytically, we employ a spatial regression model that estimates the effect of terrestrial technology on total carbon emissions for 173 countries. Our results show that impervious surface area is positively related to total carbon output and thus should be considered an operational measure of technology in future STIRPAT analyses.
industrial emissions.
the growth rate of CO2 emissions has declined in many developed nations, cumulating to a recent period of decoupling
between economic growth and CO2 emissions. The aim of the present study is to advance research on socioeconomic
drivers of CO2 emissions by assessing how the distribution of income affects the relationship between economic
growth and CO2 emissions. The authors find that from 1985 to 2011, rising income inequality leads to a tighter coupling
between economic growth and CO2 emissions in developed nations. Additionally, the authors find that increases in the
top 20 percent of income earners’ share of national income have resulted in a larger association between economic
growth and CO2 emissions, while increases in the bottom 20 percent of income earners’ share of national income
reduced the association between economic growth and CO2 emissions.
about the Jevons paradox and the rebound effect. To help clarify a variety of misunderstandings, we distinguish between the empirical claim that efficiency is often associated with rising resource consumption and the causal claim that efficiency
leads to greater resource use. We show that at a variety of levels, a positive correlation between efficiency and resource
consumption is common, suggesting that there is something to be explained. We then present various reasons that may
explain these associations, some of which do not suggest a direct causal link between efficiency and consumption, but rather a connection through other mediating factors, and some of which do suggest a causal connection. We note that political
economic theories propose that the effect of efficiency on consumption levels is not necessarily immediate and direct, but
rather due to how it affects developmental pathways. We present an empirical analysis, using panel data on nations, which shows that more efficient nations tend to have higher rates of growth in electricity
employed methodological approach within social science research, largely used to understand the complex relationships
between human social systems and the non-human environment. The general assumption of the model is that anthropogenic
environmental impacts are a multiplicative function of population, affluence, and technology. While previous STIRPAT
research has examined the impact of technology in terms of urbanization, estimating the specific effect of urban population,
we argue that this measure is better understood as a proxy for modernization. As an alternative, we frame urbanization as a
multidimensional driver of environmental change, and we operationalize the technology dimension through cross-national data on impervious surface area, or what we call ‘terrestrial technology’. To demonstrate the potential of this example for environmental sociology, we draw from political economy to show how operationalizing technology offers a stronger, more nuanced understanding of the socioeconomic drivers of environmental degradation. Analytically, we employ a spatial regression model that estimates the effect of terrestrial technology on total carbon emissions for 173 countries. Our results show that impervious surface area is positively related to total carbon output and thus should be considered an operational measure of technology in future STIRPAT analyses.