Material basis of the economy

October 17, 2011 — October 3, 2023

design

diy

ecology

economics

housing

incentive mechanisms

institutions

making things

markets

money

physics

policy

tail risk

snarks

spatial

statmech

the rather superior sort of city

wonk

Figure 1: UCL and Kiln visualising every ship on earth in 2012. See shipmap for more of that.

To mention: Exergy, emergy, various footprint measures. The mysteries of trade: why do countries that export cars also import cars?

What is growth? Do we have to burn petroleum to have it? Is it bad if we don’t have it? If we have it without petroleum, will that be through privatising other intangible resources, such as intellectual property, privacy, relationships, freedoms, genomes? Is that tradeoff worth it? Or even possible?

1 Infrastructure

See physical infrastructure.

2 Energetics

🏗

3 Incoming

Tunzelmann and the Nature of Social Savings from Steam
Cost of Computing in Coal
Brian Arthur’s The second economy
Are we replacing robots with Chinese people?
The Product Space and The Wealth of Nations

International trade data is taken from Feenstra, Lipsey, Deng, Ma, & Mo’s “World Trade Flows: 1962-2000” dataset. This dataset consists of imports and exports both by country of origin and by destination, with products disaggregated to the SITC revision 4, four-digit level. The authors build this dataset using the United Nations COMTRADE database. The authors cleaned that dataset by calculating exports using the records of the importing country, when available, assuming that data on imports is more accurate than data from exporters. This is likely, as imports are more tightly controlled in order to enforce safety standards and collect customs fees. In addition, the authors correct the UN data for flows to and from the United States, Hong Kong, and China. We focus only on export data, and do not disaggregate by country of destination. More information on this dataset can be found in NBER Working Paper #11040, and the dataset itself is available at http://www.nber.org/data and http://cid.econ.ucdavis.edu/data/undata/undata.html
On expected utility, part 1: Skyscrapers and madmen
Bitcoin: How a flooded mine in China spotlighted Bitcoin’s pollution problem
Artificial intelligence technology behind ChatGPT was built in Iowa — with a lot of water | AP News
Can the climate survive the insatiable energy demands of the AI arms race?

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