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The purpose of this chapter is to ask and answer the question of what would happen if Genetically Modified Organism (GMO) plant materials were banned. We report on two studies – one with United States only ban and one with a global ban. We used a global computable general equilibrium (CGE) model, Global Trade Analysis Project (GTAP), for the analysis. This model has been used in hundreds of published papers on trade, energy, land use, and environmental issues. Our use of the model was to estimate the crop yield benefits for the major GMO crops, and then to convert this to a loss if the GMO traits were banned. We then shocked the GTAP model with the yield losses and estimate economic, land use, and greenhouse gas (GHG) emission impacts. We found that losing the GM technology would cause commodity and food prices to increase and also bring about a significant increase in GHG emissions. The increase in emissions is caused by the need to convert forest and pasture to compensate for the lost production. Another interesting conclusion of the global ban study is that economic well-being for the United States, the world’s largest GMO user, actually increases with a ban. Many regions that ban or use little GMO varieties like the European Union, India, China, and Japan all see economic well-being decrease. These counterintuitive results are driven mainly by trade patterns. Therefore GMO technology helps agriculture reduce its carbon footprint. Without this technology, agricultural land-use GHG emissions increase as do food prices. Some groups would like to see GMOs banned and also see GHG emissions fall. You cannot have it both ways.

This survey presents the recent and rapidly expanding literature, which analyses the economic impacts of the COVID-19 pandemic, by means of Computable General Equilibrium (CGE) modelling. It does so not only by contrasting and assessing the different methodological approaches, and the key findings of the simulation exercises, but also by putting the various contributions in a historical perspective. This is necessary because each CGE-based study should be evaluated while keeping in mind when it was realised, since questions, priorities, expectations have been constantly changing during the spreading of the pandemic.

We present a computable general equilibrium model of the interface between the Great Salt Lake (GSL) ecosystem and both the international and regional economy that impacts the ecosystem. International trade is accounted for in the simplest of terms, involving the export of each of the ecosystem's main commodities and importation of a composite good, as well as equilibrium balances in the savings-investment and current accounts. With respect to the ecosystem, the model treats the various representative species as net energy maximizers and bases population dynamics on the period-by-period sizes of surplus net energy. Energy markets – where predators and prey exchange biomass – determine equilibrium energy prices. With respect to the regional economy, we model five production sectors (at the aggregate industry level) – brine cyst harvesters, the mineral-extraction industry, agriculture, recreation, and a composite-good industry – as well as the household sector. By performing dynamic simulations of the joint ecosystem–regional economy model, we isolate the effects of period-by-period stochastic changes in salinity levels and an initial shock to species-population levels on the ecological and economic variables of the model.

I show that the equilibrium distribution of matches associated with the empirical transferable utility one-to-one matching (TUM) model introduced by Choo and Siow (2006a, 2006b) corresponds to the fixed point of system of K + L nonlinear equations; with K and L respectively equal to the number of discrete types of women and men. I use this representation to derive new comparative static results, showing how the match distribution varies with match surplus and the marginal distributions of agent types.

Disparities in transplant rates across social categories provide limited information about gatekeeping processes in access to kidney transplantation. We hypothesized that early opportunities for discussion of kidney transplantation potentially generate social capital that serves as a resource for patients as they navigate the transplantation pathway.

A national sample of first-year dialysis patients was surveyed and asked if kidney transplantation had been discussed with them before and after starting dialysis treatment. Associations between reported discussion and patient-specific clinical and nonclinical (sociodemographic) indicators of attributed utility for transplantation were investigated, and the association of reported transplant discussion with subsequent transplant waitlisting was analyzed.

Time to placement on the kidney transplant waiting list was significantly shorter for patients who reported that transplantation had been discussed with them before, as well as after, starting dialysis. Likelihood of reported discussion varied by patient age, employment and insurance status, cardiovascular comorbidity burden, and perceived health status; in addition, women were less likely to report early discussion.

It would be valuable to know more about the nature of the transplant discussions recalled by patients to better understand how social capital may be fostered through these discussions.

Indicators of attributed utility for successful transplantation were associated with transplant discussion both before and after starting dialysis, potentially contributing to observed disparities in access to kidney transplantation.

Predialysis nephrology care and patient participation in discussion of kidney transplantation may foster social capital that facilitates navigating the transplantation pathway.

Resurgent interest in the life and work of the Italian Cambridge economist Piero Sraffa is leading to New Directions in Sraffa Scholarship. This chapter introduces readers to some of these developments. First and perhaps foremost is the fact that as of September 2016 Sraffa’s archival material has been uploaded onto the website of the Wren Library, Trinity College, Cambridge University, as digital colour images; this chapter introduces readers to the history of these events. This history provides sharp relief on the extant debates over the role of the archival material in leading to the final publication of Production of Commodities by Means of Commodities, and readers are provided a brief sketch of these matters. The varied nature of Sraffa scholarship is demonstrated by the different aspects of Sraffa’s intellectual legacy which are developed and discussed in the various entries of our Symposium. The conclusion is reached that we are on the cusp of an exciting phase change of tremendous potential in Sraffa scholarship.

Using visual materials to understand a social object requires the researcher to know that object's purpose, and this is true whether the object is an artifact, a restricted event, a small social world, or something as massive as the modern city. I argue that the purpose of the city as a settlement is driven by the need to safely sleep in peace at night while satisfying other basic biophysical needs during the day as conveniently as possible. An examination of these needs identifies 10 functional prerequisites for human settlement, entangling its inhabitants in involuntary community with entities and events other than themselves, whether they like it or not. In addition, the rise of the modern city exacerbates the challenge of living in a reluctant community and pressures its inhabitants to come to terms with the consequences for how these relationships affect daily life. I highlight nine challenges posed as questions that have been particularly salient in American urban history since the mid-nineteenth century. How these challenges have been addressed indicates not only what it takes to make a modern city a settlement suitable for satisfying human needs, but also just how deeply invested its residents are in making the city work. Finally, the 10 functional prerequisites and nine moral challenges not only provide a framework for researching the city, but also suggest a coherent outline for imagining a “shooting script” or guide for conducting visual research.

The efficient distribution of bank notes is a first-order responsibility of central banks. The authors study the distribution patterns of bank notes with an administrative dataset from the Bank of Canada’s Currency Inventory Management Strategy. The single note inspection procedure generates a sample of 900 million bank notes in which the authors can trace the length of the stay of a bank note in the market. The authors define the duration of the bank note circulation cycle as beginning on the date the bank note is first shipped by the Bank of Canada to a financial institution and ending when it is returned to the Bank of Canada. In addition, the authors provide information regarding where the bank note is shipped and later received, as well as the physical fitness of the bank note upon return to the Bank of Canada’s distribution centers. K–prototype clustering classifies bank notes into types. A hazard model estimates the duration of bank note circulation cycles based on their clusters and characteristics. An adaptive elastic net provides an algorithm for dimension reduction. It is found that while the distribution of the duration is affected by fitness measures, their effects are negligible when compared with the influence exerted by the clusters related to bank note denominations.