
We study the in uence of energy endowments on the location of energy-intensive industries. We use data on manufacturing sectors in 50 US states from 2002 until 2008, with detailed information on state endowments of coal, natural gas, oil and hydropower and sectoral fuel and electricity intensities. The effect of energy on industry location is statistically and economically significant. A one standard deviation increase in energy en- dowments per capita increases the activity of energy-intensive industries by about 20%.
Heckscher-Ohlin model, industry location; factor endowments; energy; Heckscher-Ohlin model, industry location, factor endowments, industry location;factor endowments;energy;Heckscher-Ohlin model, energy, jel: jel:F10, jel: jel:R12
Heckscher-Ohlin model, industry location; factor endowments; energy; Heckscher-Ohlin model, industry location, factor endowments, industry location;factor endowments;energy;Heckscher-Ohlin model, energy, jel: jel:F10, jel: jel:R12
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
