题目内容

According to the text, which of the following is NOT the phenomenon caused by the economic

A. The export markets are being softened.
B. Domestic property value is being depressed.
C. Number of people that go vacation abroad sharply reduced.
D. Consumer and investor confidence declined daily.

查看答案
更多问题

厥证的主要病机是E.

“十一五”末,()要基本建成比较完善的干线公路网络。

A. 东部地区
B. 长江三角洲和珠江三角洲地区
C. 中部地区
D. 西部地区

听力原文: The stock market in New York has drifted up and down after comments from the chairman of the Federal Reserve Alan Greenspan who said the recent falls on the world market could be salutary in the long term. The market rose by more than 100 points in the first hour of trading, but fell back after Mr Greenspan's remarks. He told the congressional committee that the US economy should not be threatened by market problems in the Southeast Asia and said the economy was robust.
Mr Greenspan said that even after the recovery on Wall Street, many investors were less wealthy than they had been a week ago. But it was a salutary event. The head of the US Central Bank implied that there had been an excessive optimism about the future of share prices and the recent decline might cool things down. If it hadn't been in Southeast Asia, something else would eventually have brought about this week's events. Mr Greenspan traced the origins of the Asian crisis in some details. There'd been an explosion in the flow of money into the region and this has helped fuel unsustainable property boom. Bank borrowed abroad and lent too much to the construction industry. When the project went sour, they had to meet their foreign currency borrowings with their own currencies devalued.
The recent fluctuation of the stock market in New York was due to

A. Greenspan's remarks.
B. the slack US business.
C. the excessive optimism.
D. the weakened US economy.

The insurance industry has long been aware of the dangers of natural disasters; the 1906 earthquake in San Francisco, California, bankrupted scores of insurance companies. But the industry has focused particular attention on disaster prediction in recent years, as spiraling costs revealed that many companies had underestimated their financial exposure. For instance, prior to Hurricane Andrew in 1992, many insurance experts thought that the worst hurricane possible would do no more than $8 billion in damages to the industry. The damages caused by Hurricane Andrew, estimated at about $17 billion, shattered these beliefs. Today, estimates of worst-case disaster scenarios approach $100 billion.
The insurance industry has therefore increased its support for research into disaster prediction. One such effort involves a number of companies that have joined together to support the Bermuda-based Risk Prediction Initiative, which funds disaster research. The expectation is that the resulting information will place the industry on a more solid foundation to make decisions about the risk of future disasters. The industry has also lobbied for the government to bear some of the financial burden of disaster insurance. Such a programme already exists for flood insurance, set up in the late 1960s by the federal government to insure flood-prone areas. These types of programmes, effectively implemented, could be increasingly necessary in the future to make insurance available in areas prone to disasters.
Because the stakes are so high, the science of disaster prediction has a bright future. The various projects and programmes illustrate that disaster prediction is a topic of concern to scientists and policy makers alike. Hurricanes, tornadoes, floods, earthquakes, tsunamis, and volcanoes all show that the effective use of disaster predictions not only requires advanced technology but also requires that society consider the entire process of prediction forecasts, communication, and use of information. Because they cannot predict the future with certainty, and because much remains to be learned, scientists warn that society must understand the limits of scientific predictions and be prepared to employ alternatives. Wisely used, however, disaster prediction has the potential to reduce society's vulnerability to natural disasters.
The result of the increasing costs in natural disasters is

A. great loss suffered by commercial companies.
B. government's increased attention on disasters.
C. individual awareness to natural disasters.
D. more funds to support the prediction research.

答案查题题库