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Least cost analysis of social landscapes : archaeological case studies
A growing number of archaeologists are applying Geographic Information Science (GIS) technologies to their research problems and questions. Advances in GIS and its use across disciplines allows for collaboration and enables archaeologists to ask ever more sophisticated questions and develop increasingly elaborate models on numerous aspects of past human behavior. Least cost analysis (LCA) is one such avenue of inquiry. While least cost studies are not new to the social sciences in general, LCA is relatively new to archaeology; until now, there has been no systematic exploration of its use within the field.
This edited volume presents a series of case studies illustrating the intersection of archaeology and LCA modeling at the practical, methodological, and theoretical levels. Designed to be a guidebook for archaeologists interested in using LCA in their own research, it presents a wide cross-section of practical examples for both novices and experts. The contributors to the volume showcase the richness and diversity of LCA’s application to archaeological questions, demonstrate that even simple applications can be used to explore sophisticated research questions, and highlight the challenges that come with injecting geospatial technologies into the archaeological research process.
eBook
Fear not, want not
Prior research on the effect that formal and informal institutions have on high-growth entrepreneurship has tended to propose policies aimed at either lowering the social cost of failure in society, or creating business-friendly entry environments aimed at increasing the rate of entrepreneurship. These policies have triggered a debate about whether policies that focus on stimulating high-growth entrepreneurship conflict with policy goals aimed at decreasing the social cost of failure in society. Using approach/avoidance as a lens, we examine the relationship between high social costs of failure and the odds of individuals engaging in growth-based entrepreneurship. Our unique dataset captures the entry decisions of 208,089 individuals in 29 OECD countries. We find that while countries with a higher social cost of failure experience lower total entrepreneurial activity, they have higher odds of entrepreneurs having high-growth aspirations and firms with export-led orientations.
Journal Article
Monetizing Environmental Impacts of Nuclear Power: Cost-Benefit Analysis Using Social Cost of Carbon
This paper conducts a comprehensive cost-benefit analysis of nuclear energy’s contribution to climate change mitigation, with a focus on its potential to reduce the social cost of carbon (SCC). For 31 countries, we employ a four-step methodology to estimate SCC, comparing it against the lifetime costs associated with nuclear power generation. The Upstate New York case study in 2019 reveals that its three nuclear power plants could save approximately $675 million of the social cost of carbon (SCC) annually. Our SCC analyses suggest that the currently operating nuclear power plants worldwide can save the SCC, corresponding to 2.6% of the United States’ annual GDP. According to our cost-benefit analysis, among several countries that operate nuclear reactors, the US and China exhibit high environmental benefits from nuclear power, whereas other countries earn net environmental losses from it. Our study’s robust data analysis methods ensure the reliability and validity of our conclusions, enhancing the relevance of our findings for informing policy decisions. Despite variations in net benefits influenced by societal SCCs and levelized costs of energy (LCOE), nuclear energy emerges as a crucial component in transitioning to a zero-carbon grid. Our study advocates for the use of SCC analysis to incentivize the adoption of low-carbon energy sources.
Plain Language Summary
Assessing the environmental impact of nuclear power: A study on costs and benefits
This study examines the environmental effects of nuclear power in a straightforward manner. Nuclear power is a significant source of low-carbon energy globally, but its safety concerns have led some countries to avoid it. By analyzing the costs and benefits of nuclear power, the study sheds light on its role in energy transitions. Focusing on a case study in Upstate New York, the research finds that nuclear power plants could save millions annually in the social cost of carbon. The analysis suggests that globally, nuclear power plants can save a substantial portion of the social cost of carbon, equivalent to a notable percentage of the United States’ annual GDP. However, the study reveals that the environmental benefits of nuclear power vary among countries, with some experiencing net losses. Factors such as social costs of carbon and energy costs influence the overall environmental impact of nuclear energy.
Journal Article
Few and Not So Far Between: A Meta-analysis of Climate Damage Estimates
Given the vast uncertainty surrounding climate impacts, meta-analyses of global climate damage estimates are a key tool for determining the relationship between temperature and climate damages. Due to limited data availability, previous meta-analyses of global climate damages potentially suffered from multiple sources of coefficient and standard error bias: duplicate estimates, omitted variables, measurement error, overreliance on published estimates, dependent errors, and heteroskedasticity. To address and test for these biases, we expand on previous datasets to obtain sufficient degrees of freedom to make the necessary model adjustments, including dropping duplicate estimates and including methodological variables. Estimating the relationship between temperature and climate damages using weighted least squares with cluster-robust standard errors, we find strong evidence that duplicate and omitted variable biases flatten the relationship. However, the magnitude of the bias greatly depends on the treatment of speculative high-temperature (>4
∘
C) damage estimates. Replacing the DICE-2013R damage function with our preferred estimate of the temperature–damage relationship, we find a three- to four-fold increase in the 2015 SCC relative to DICE, depending on the treatment of productivity. When catastrophic impacts are also factored in, the SCC increases by four- to five-fold.
Journal Article
Making college work : pathways to success b eyond high school
\"Practical solutions for improving higher education opportunities for disadvantaged students Too many disadvantaged college students in America do not complete their coursework or receive any college credential, while others earn degrees or certificates with little labor market value. Large numbers of these students also struggle to pay for college, and some incur debts that they have difficulty repaying. The authors provide a new review of the causes of these problems and offer promising policy solutions. The circumstances affecting disadvantaged students stem both from issues on the individual side, such as weak academic preparation and financial pressures, and from institutional failures. Low-income students disproportionately attend schools that are underfunded and have weak performance incentives, contributing to unsatisfactory outcomes for many students. Some solutions, including better financial aid or academic supports, target individual students. Other solutions, such as stronger linkages between coursework and the labor market and more structured paths through the curriculum, are aimed at institutional reforms. All students, and particularly those from disadvantaged backgrounds, also need better and varied pathways both to college and directly to the job market, beginning in high school. We can improve college outcomes, but must also acknowledge that we must make hard choices and face difficult tradeoffs in the process. While no single policy is guaranteed to greatly improve college and career outcomes, implementing a number of evidence-based policies and programs together has the potential to improve these outcomes substantially\"-- Provided by publisher.
Book
As Bad as it Gets: How Climate Damage Functions Affect Growth and the Social Cost of Carbon
The paper analyzes the effects of varying climate impacts on the social cost of carbon and economic growth. We use polynomial damage functions in a model of an endogenously growing two-sector economy. The framework includes nonrenewable natural resources which cause greenhouse gas emissions; pollution stock harms capital and reduces economic growth. We find a big effect of the selected damage function on the social cost of carbon and a significant impact on the growth rate. In our calibration a quartic damage function raises the social cost of carbon by more than a factor of ten compared to the linear function. In the social optimum the growth rate remains positive even when the damage function is highly convex. We test the robustness of the results by adding pollution decay, lowering the elasticity of intertemporal substitution, and addressing uncertainty, which does not alter our results. We find that high marginal climate damages require stringent climate policies but do not preclude positive economic growth despite convexity, provided that policies are designed in an efficient manner.
Journal Article