Undercover economist: Why weather forecasts can affect your prosperity
By Tim Harford 2009-07-09Spare a thought for the weather forecasters. Taken for granted when they get it right, they are invariably whipping boys when they get things wrong – despite a far better forecasting record than we economists have. They probably have more to contribute to the economy, too.
A recent case in point: Bournemouth's woes during the bank holiday at the end of May. The Met Office predicted storms, but the beach resort in fact enjoyed the sunniest day of the year. Bournemouth's tourist office reckons the town missed out on at least 25,000 visitors and more than £1m of revenue as a result. Subtler losses and gains were registered by the would-be tourists, and the lucky ones who enjoyed both a sunny day and a quieter beach.
Tourists have always been vulnerable to the weather, but they may now be more vulnerable to weather forecasters. The internet has made it easy to check the forecast and easy, too, to make late bookings for short breaks – which are self-evidently more responsive to the weather.
Galvanised by Bournemouth's woes, I did some research into the economics of weather forecasting for a short BBC documentary. What surprised me was the sheer range of industries that could save money if given a reliable forecast.
Electricity generators need temperature forecasts to gauge the demand for power, and electricity generation itself is weather-sensitive. It's not just a case of windmills and solar panels: gas-fired power stations are more efficient at lower temperatures. Without a good forecast, both energy and money will be wasted.
Local governments are responsible for salting and gritting roads as they freeze. It's a costly process, best avoided if the roads are not, in fact, going to freeze at all. Supermarkets consult detailed weather forecasts and adjust the local product mix accordingly. An extra day's reliable warning of the local weather is a godsend.
The vulnerability to bad weather is even higher in developing countries, sometimes with tragic consequences. As I reported in a column last year, the economists Emily Oster and Ted Miguel have investigated the link between bad weather and “witch” killings. Miguel found that modern-day witch-killings in Tanzania are correlated with droughts and floods. Oster, building on research by historian Wolfgang Behringer, found a connection between cold decades and witch-trials in 16th- and 17th-century Europe.
MIT economist Michael Greenstone has studied the impact of local temperature surges on deaths in both India and the US. He calculates that a year with one extra “heatwave” day – temperatures above 32°C instead of 12°C-15°C – would raise the annual death rate by eight per million in the US. In India, the temperature vulnerability is more than five times higher, notably in rural areas where agriculture suffers and wages drop.
Weather forecasting cannot prevent heatwaves, but it can help in other ways. Accurate forecasts can allow farmers to sow seeds without fear that they will be washed or blown away. A study from the mid-1990s – admittedly, conducted by the World Meteorological Organization – concluded that every dollar invested in weather forecasting services would save $10 in economic losses.
The World Bank broadly agrees, and is supporting Russian efforts to reinvigorate forecasting systems that have been deteriorating since the collapse of the Soviet Union.
The World Bank's researchers reckon that the benefits of such efforts outweigh the costs by five to one. If those numbers stack up, that suggests an unlikely development tactic for poor countries: hire more weather forecasters.
天氣預報讓你富,也讓你窮
作者:英國《金融時報》專欄作家提姆•哈福德(Tim Harford) 2009-07-09
我們不妨替天氣預報人員想想。當他們預報準確時,被認為是理所當然的;而當他們預報錯了的時候,卻總是成為替罪羔羊——儘管他們的預測準確度比我們這些經濟學家要強得多。此外,他們或許能為經濟作出更大的貢獻。
最 近的一個例證,就是5月底銀行假日期間波恩茅斯(Bournemouth)出現的問題。英國氣象局(Met Office)預計,該海濱勝地在假日期間將會出現暴風雨天氣,但實際上,那是一年中陽光最燦爛的一天。波恩茅斯旅遊局估計,該城至少錯失了2.5萬名遊 客和逾100萬英鎊的收入。那些本打算前往波恩茅斯的遊客和(去了的)幸運遊客,則分擔了說不清楚的損失和收益——那些幸運的遊客既享受了陽光燦爛的一 天,也享受了更為安靜的海濱。
遊客總是容易受到天氣的影響,而現在他們或許更容易受到天氣預報的影響。互聯網使得查看天氣預報變得較為容易,也為短期休假的推遲預訂提供了便利——無疑這更容易根據天氣進行調整。
受波恩茅斯事件的影響,我對天氣預報經濟學進行了一些研究,用於英國廣播公司(BBC)的一個記錄短片。我驚奇地發現,如果天氣預報可靠的話,會有許多行業能夠省錢。
發電廠需要天氣預報來判斷電力需求,而發電本身就對天氣較為敏感。不僅風力發電或太陽能電池板與天氣有關:燃氣發電廠在低溫下效率會更高。沒有可靠的天氣預報,會浪費能源和金錢。
地方政府有責任在道路結冰時撒上鹽和沙礫。這是一種費用高昂的做法,實際上最好是能夠避免道路結冰。超市會查詢詳細的天氣預報,並相應調整當地的產品搭配。多一天可靠的當地天氣預報,無異於一種上天的恩賜。
發 展中國家甚至更容易受到惡劣天氣的影響,有時還會造成悲劇性的後果。正如去年我在專欄中寫道的那樣,經濟學家艾米麗•奧斯特(Emily Oster)和泰德•米格爾(Ted Miguel)調查了惡劣天氣和“女巫”被殺之間的關聯。米格爾發現,當代坦桑尼亞殺害女巫案例與乾旱和洪水有關。在歷史學家沃爾夫岡•貝林格 (Wolfgang Behringer)研究的基礎上,奧斯特發現,在16世紀和17世紀的歐洲,幾十年的寒冷天氣與審判女巫之間存在關聯。
麻 省理工學院(MIT)經濟學家邁克爾•格林斯通(Michael Greenstone)對印度和美國當地氣溫飆升對死亡率的影響進行了研究。他估計,如果一年額外多一天“高溫天氣”——氣溫高於32攝氏度,而不是12 至15攝氏度——美國每百萬人每年的死亡率就會增加8人。在印度,高溫造成的死亡率是美國的5倍多,特別是在農作物歉收、薪資下降的農村地區。
天氣預報無法阻止高溫天氣的出現,但在其它方面會有所幫助。準確的天氣預報可以使農民放心播種,而不用擔心種子被雨沖掉或被風吹走。世界氣象組織(WMO)從上世紀90年代中期開展的研究表明,在天氣預報服務上每投入1美元,就會減少10美元的經濟損失。
世界銀行(World Bank)對此基本表示贊同,並支持俄羅斯重建自蘇聯解體以來日益衰落的天氣預報系統。
世行的研究人員預計,此類努力帶來的益處與成本的比例為五比一。如果把這些數據匯總起來,就意味著窮國應採取一種不太可能的發展戰略:聘用更多的天氣預報人員。
譯者/君悅
---
Google( machine translation)
臥底經濟學家:為什麼天氣預報可能會影響您的繁榮
2009年7月9日由提姆•哈福德
備件思想的氣象預報。理所當然當他們做正確的,卻不約而同地鞭打男孩當他們把事情錯了-儘管好得多的預測紀錄比我們這些經濟學家們。他們可能有更多的貢獻,經濟也。
最近的一個例子:伯恩茅斯困境的銀行假日期間在5月底。氣象局預測的風暴,但海灘度假村事實上享有晴朗天的一年。伯恩茅斯的旅遊局認為鎮錯過了至少25,000名觀眾和超過100萬英鎊的收入結果。微妙損益地區的潛在遊客,幸運的誰享有一個晴天和一個安靜的海灘。
遊客一直易受天氣,但他們現在可能更容易受到氣象預報。互聯網已經可以輕鬆地檢查和簡單的預測,也使後期預訂短期休息-這是不言而喻更加適應天氣。
鍍鋅的伯恩茅斯的困境,我做了一些研究的經濟學天氣預報短期英國廣播公司紀錄片。是什麼讓我吃驚的是純粹的各種行業,可以省下一筆錢,如果給一個可靠的預測。
發電機需要溫度預報來衡量的電力需求,以及發電本身就是天氣敏感。它不僅僅是一個案件風車和太陽能板:燃氣電站是更有效地在較低溫度下。如果沒有一個良好的預期,精力和資金都將付諸東流。
地方政府負責鹽和gritting道路,因為它們凍結。這是一個代價高昂的過程,最好避免,如果沒有道路,事實上,將凍結所有。超市諮詢詳細的氣象預報和調整相應的當地產品結構。額外一天的可靠的預警的天氣預報是天賜之物。
易受惡劣天氣甚至更高在發展中國家,有時造成的悲慘後果。正如我在一列去年,經濟學家劉慧卿奧斯特和Ted米格爾調查之間的聯繫,惡劣天氣和“女 巫”殺人。米格爾發現,當今的政治迫害殺戮在坦桑尼亞是與旱災和水災。奧斯特的基礎上,研究的歷史學家沃爾夫岡林格,找到了幾十年冷戰的聯繫和巫婆,審判 在16和17世紀的歐洲。
麻省理工學院經濟學家Michael綠研究的影響,當地氣溫上升的死亡在印度和美國。他的計算,一年一個額外的“熱浪”天-溫度超過32 ℃而不是12 °的C - 15 ℃ -將提高每年的死亡率是每100萬個在美國。在印度,溫度漏洞超過5倍,特別是在農村地區,農業遭受和工資下降。
天氣預報不能阻止熱浪,但它可以幫助其他的方式。準確的預測可以使農民能夠播種而不擔心他們會被沖走或摧毀。研究從20世紀90年代中期-誠然,由世界氣象組織-得出結論認為,每投入一美元的氣象預報服務,將可以節省10美元的經濟損失。
世界銀行的廣泛贊同,並支持俄羅斯振興預報系統已惡化,因為蘇聯的解體。
世界銀行的研究人員認為,這種利益的努力超出費用12時55分。如果這些數字堆疊起來,這意味著不太可能發展策略窮國:僱用更多的氣象預報。
沒有留言:
張貼留言