Showing posts with label Economy. Show all posts
Showing posts with label Economy. Show all posts

Thursday, January 10, 2013

Will China's Economy Surpass That Of The United States?


About a month ago, I read an intriguing article that suggested that China’s economy would be ahead of the United States as soon as 2030 or perhaps earlier. On the one hand, this makes sense- the article says, “The health of the global economy increasingly will be linked to progress in the developing world rather than the traditional West.” I could easily see this happening. China has definitely seen the greatest spike in economic growth over the long and short term. On the other hand, the patriot side of me simply cannot believe the idea that the U.S. will be surpassed in the global economy that quickly, given the enormous head start we already have. (As of 2011, the United States’ economy was still twice as large as that of China- about 15 trillion to 7 trillion, respectively[1])

When it comes to even statistics, it’s sometimes difficult to eliminate bias. The statistics tell no lies, of course, but the statistician can easily manipulate the data to draw the conclusion that he/she wants to. This can be achieved by only including certain data in a model, for example, or even by blatantly ignoring a significant trend in the data when drawing a conclusion. One could draw that same conclusion that the U.S. has quite a cushioned lead over China, but that would ignore the fact that China’s nominal GDP grew nearly three times as fast from 2010-2011[2].

However, the statistician cannot rely solely on statistics alone. Context and outside information are both needed to present a strong model as well. For example, it is unrealistic to believe that because a baseball player strikes out, he is beginning a brutal slump, just as it’s unrealistic to believe that a country’s economy will immediately go into a terminal downwards spiral because it entered a small recession. Yes, sometimes this will happen, but the probability is still very low.

My task for today’s post is to weigh the claim that China will have surpassed the United States in nominal GDP by 2030, whilst trying to balance the statistics with context and empirical evidence- without letting bias enter the equation. There are many different models I could establish with the amount of data available on this subject- but which is most likely to occur?
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While the global economy continues to grow, it doesn’t grow at the same rate for every country. Some countries experience periods of great economic growth while at the same time other economies begin to decline. This isn’t a random phenomenon; there are many factors that go into it, but in the end it can be boiled down into simple supply and demand economics: The country that has the most of what people want will do the best. If a country can no longer produce or manufacture what is in demand, it will go into decline.

The United States has enjoyed its position at the forefront of the global economy for a long time, but a look at this long term graph (1970-2010) suggests that we have entered a period that could result in economic decline (beyond that which we’ve already experienced, of course):



It looks like the United States is beginning to be out-produced by other countries- namely, China. It’s not an exaggeration to say that other countries are becoming more innovative than the U.S., either[3].

A brief look at these pieces of evidence could be enough to convince someone that the U.S. economy will soon fall behind China. But take a closer look at the graph above: it’s actually set on a logarithmic scale. In this format, an exponential plot would appear linear, and a linear plot looks something, well, more like the U.S. plot. Here’s the same data set on a linear scale:



And a graph for the short-term as well:



These look a lot more promising for the United States. This is just an example of how easy it is to manipulate data to appeal to one’s bias.
 
There are a few other things we should consider rather than just a straight GDP plot. What about the change in GDP from year to year? The derivative of the graphs above could provide a good idea of if and how the landscape of the global economy is changing.

For these and future plots I’m going to eliminate most of the countries listed so that the graph is less cluttered. The seven countries I decided to leave in (before any of the plots were made) are the USA, China, and Japan, the three clear economic leaders; three more countries that are beginning to develop strong economies: Brazil, India, and Indonesia; and Russia, which saw decline after the fall of the Soviet Union and whose economic future is at a crossroads of sorts.

In the short-term, it’s clear that the global economy is filled with complex connections: Every country took quite a hit in 2009. However, all four of the Asian countries still saw an increase in GDP whereas Brazil, the U.S., and Russia saw declines.



It should also be noted that China clearly had a fast recovery and has continued that growth through 2011, while several other countries had strong recoveries in 2010 but did not continue the trend through 2011.

Here’s the derivative of long term nominal GDP. China clearly has shown strong growth recently:



I finally put all of my data together to create a couple of models based on long-term and short-term GDP, and extrapolated them out to the year 2030. The results were somewhat surprising:

Long-Term Graph


 
Both models suggest that China will surpass the United States well before 2030. There were several other models that had the US remaining on top, or even Japan or India surpassing the other nations. But I’m only posting these two because I feel these two simulations were the most likely to happen. Of the two, I feel much stronger about the former: I don’t see anything that suggests the US’s productivity will go down, but nothing suggests the opposite either. Meanwhile, China’s recent gains will probably continue.

We don’t know for sure what will happen. There’s another trendline for China that suggested it would have nearly the exact same GDP as the US in 2030, and it fit all of the data points through 2005- but because of the spike in 2010, the model no longer fits very well.

My own personal opinion is that the U.S. and China will probably have fairly similar nominal GDP values in 2030. It’s unrealistic to assume that China will continue to have such incredible economic growth as we’ve seen in the past few years, but it is also clear that China will have a strong economy for years to come. I’ll be the first to admit that there could easily be some potential bias in this conclusion, but I believe that I’ve been able to balance the statistics and outside information well enough to give this prediction merit.
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[1] International Monetary Fund
[2] United Nations Statistics Division (http://unstats.un.org/unsd/snaama/selbasicFast.asp)

Thursday, November 22, 2012

Do Consumers Have A Problem With Black Friday Creep?


Before I begin my post today I’d like to wish everyone a happy Thanksgiving weekend, and safe travels to anyone visiting family or friends today to celebrate the holiday.

While today is a day for being thankful, later tonight, after the festivities, thousands of Americans will venture out later tonight for the start of the holiday shopping season. Many stores are opening and holding sales as early as 8:00 PM this year, and are being blasted for the controversial decision.

But exactly how much of a problem does America have with the theory of “Black Friday Creep”? Many people say that this year the retailers have gone too far- but will that stop consumers from going out and getting in line early? Will we see yet another record-breaking sales period? It’s time to see just exactly how hypocritical we are.
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If there’s one thing we can be certain about, it’s that retailers are opening earlier:



I picked seven major retail chains, most of which specialize in different or all genres of retail. None of them opened before 5:00 in 2008. All of them are opening at or before midnight this year. Even K-Mart and Sears, which had both consistently been among the later openers, are welcoming customers at 10 PM this Thanksgiving.

Opening stores earlier means that there is a greater range of time for people to show up, meaning more customers and more profit. Whether it is because stores are opening earlier or because Black Friday is simply becoming more popular, more customers are showing up, stores are making more money, and- if only slightly- individual customers are spending more money. 



Now for a brief interruption about the Internet: Online spending has been up recently too. Thanksgiving Day spending online was up 18% last year, and Black Friday spending was up 26%. All told, Americans spent $1.295 billion online over those two days last year.

Getting back to in-person shopping, let’s also look at the percent change in total amount spent:

2009 was a down year by all accounts. Individual customers spent the least in that year, and the total amount spent was just barely more than the last year. You could conclude that the recession meant people stopped showing up, but the increase in customers was pretty much the same as between 2007 and 2008. Customers still spent nearly $350 individually on Black Friday in 2009, suggesting that while a recession does have a small impact on most Americans, it’s not enough to stop them from showing up and spending money on Black Friday. And this makes sense- stores usually hold some of their best sales of the year the day after Thanksgiving, making it one of the best days to go bargain hunting on.

Since 2009, however, people are steadily spending more and more.

Now here’s the bad news for retailers:

This graph essentially represents the derivative of the customer graph (for calculus fans out there)- it’s the percent increase in customers over the previous year. While more customers show up each year, the percentage of those that are new customers is slowly but steadily going down. This suggests that at some point- probably after the next few years- Black Friday could top out in terms of customers.

However, I use the phrase “bad news” in a relative sense. When Black Friday finally reaches its customer limit, a good 250-300 million people will be coming out for the sales, each spending an average of about $400. Not bad for retailers at all.

Just for fun, I’ll make some predictions on the type of turnout we could expect for this Black Friday. About 250 million customers (the data suggests 249.8) will show up, spending on average about $393.95. This is actually about five dollars less than the average consumer spent in 2011. However, the spent overall will still increase- a grand total of $56.1 billion*

Let’s get back to issue I talked about at the beginning of the post: the slow creep of stores opening earlier and earlier on Black Friday- and Thanksgiving. Americans say they have a problem with it. Do they?



Not at all. The percentage of total customers on Black Friday that show up at midnight is increasing at an incredible rate. One-quarter of Black Friday shoppers were out at midnight in 2011, a jump of over 600% from 2009. If the trend holds true, we could see nearly half of all consumers out at midnight- or certainly before.

Many Americans are complaining about the Black Friday Creep, but the statistics show that we secretly embrace it. Something needs to drastically change in the average American’s mindset before retail chains put an end to the creep. Until that happens- if it happens- store owners will continue to open earlier and earlier, more and more customers will turn out, and more and more money will be exchanged in the day after- and on- Thanksgiving.

*Why don’t the numbers add up? Most of my data was from the National Retail Federation. I’m guessing they took a survey of Black Friday shoppers and asked them how much they spent for the average individual amount. The number of unique customers is also probably lower than the total here, because many people shop at more than one place on Black Friday.