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Global Weather Sensitivity: A Comparative Study - albertotroccoli.org

Global Weather Sensitivity: A Comparative Study - albertotroccoli.org

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can make this adaptation extremely costly.<br />

In addition to the clear advantages of managing weather risk at a small<br />

scale, weather hedging could have significantly beneficial effects on total global<br />

output. Our results in Table 4 suggest that a comprehensive weather hedging<br />

strategy for all sixty-eight countries included in this analysis could add approximately<br />

$258 billion to global output per year. This is likely an underestimate<br />

of the potential growth due to a comprehensive global weather hedging strategy.<br />

First, this number reflects only the sixty-eight countries included in the<br />

analysis, which account for just over half the world’s GDP. Second, this method<br />

assumes that countries hedge all of their CAR for each sector and reinvest in<br />

that sector at historical growth rates. It is unreasonable to expect investors will<br />

invest in industries with very poor prospects for growth or negative growth—<br />

for example, the agricultural industry in South Africa grew at an average rate<br />

of -4%. Hedging weather risk will likely allow investors to divert resources into<br />

sectors and industries with greater risk, and therefore greater growth opportunities.<br />

In countries where financial markets are weak, the introduction of weather<br />

risk management products might help the development of local credit channels,<br />

which could significantly boost economic growth.<br />

Finally, this paper suggests a number of directions for future research on<br />

global weather sensitivity. Two key priorities in this process should be developing<br />

reliable databases of historical weather and economic data around the<br />

world, and developing a reliable model to measure the weather sensitivity of<br />

different businesses, sectors, countries, and regions.<br />

This paper’s reliance on<br />

elasticity data from the US is a clear bias that can be addressed in future work.<br />

However, current limitations on the quality and scope of data around the world<br />

make this sort of work extremely challenging. Gathering good data is a prerequisite<br />

for more detailed analysis of world weather sensitivity. Once the data<br />

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