Global Weather Sensitivity: A Comparative Study - albertotroccoli.org
Global Weather Sensitivity: A Comparative Study - albertotroccoli.org
Global Weather Sensitivity: A Comparative Study - albertotroccoli.org
- No tags were found...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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 />
18