A new book methodically peels back the layers of China's statistical machine to provide new insights into the nation's burgeoning economy
For some, wading through Chinese economic data is like wrapping your head around the Talmud. The credibility of the data itself often invites skepticism from observers both inside and outside China. Yet there's little choice but to rely on the official numbers. And China's regular data dump in the middle of each month moves markets in a way that few countries can. If the market has little faith in Chinese statistics, then why all the focused attention? How does one make sense of Chinese data and its idiosyncrasies?
Many of the answers can be found in the eminently useful Understanding China's Economic Indicators, a new book from Tom Orlik, economic journalist/columnist for the Wall Street Journal. (According to his bio, Orlik has earned the unique distinction of having one of his essays on Chinese statistics be required reading by the National Bureau of Statistics staff.) This is not a "big argument" book on China, but one that methodically peels back the layers of the Chinese statistical machine to yield insights on what the data mean, how they're collected, and what the current shortcomings are. You want to know how the Chinese calculates GDP and fiscal revenue, that's chapter two. You want to know about the country's gold and foreign exchange reserves accumulation, flip to chapter five. Still don't quite understand the composition of China's consumer price index? Don't feel bad, no one really does, as you'll discover in chapter seven. This book is the story of a year with Chinese economic data.
I particularly liked the opening vignette that described a gaggle of Chinese and foreign journalists awaiting the announcement of the 2009 fourth quarter GDP. The anticipation was palpable, torturous seconds ticked by as each reporter is poised to pounce on the final revelation of the figure to phone back to their editors--the economic press in China is all cut-throat competition. And hallelujah, it's 10.7% year-over-year growth, which put the annual growth at 8.7%. Yes! China got the 8% it promised it would deliver at the beginning of the year. In Zhongnanahi, Wen Jiabao smiled and sipped some oolong tea (OK, I made up this last part). Sure, it is admittedly a tad bit nerdy, but in just the right way, especially if you're someone who's really into Chinese economic data (like moi).
So what of the credibility of Chinese data? Orlik takes a similar view to what I argued in response to Megan McArdle's dispatch last year that appeared more about highlighting Hayek than understanding how the Chinese stats system actually functioned. Orlik concludes:
The reality of China's economic data today is not the crude controlling hand of the Politburo dictating the GDP growth figure. It is an increasingly reliable and comprehensive set of economic indicators that remain compromised in some areas by the difficulty of measuring a rapidly changing economy, imperfect surveying methods, a recalcitrant sample set, and continued political sensitivity surrounding some numbers. The system is not perfect. Some data points are more reliable than others. But neither is it a farce. As shown by the mad scramble for the GDP data in the State Council Information Office and the bilions of dollars that are traded instantly on its release, the shortcomings in the data are no impediment to the market reaction.
China has certainly come a long way since the Great Leap Forward days, when complete fabrication of grain production volumes to serve political goals resulted in one of the worst man-made famines in modern history--a point that Orlik discusses at some length. Top policymakers and leaders now rely on numerous data to assess the economy and determine the best course for policy. The very realities of governing a large and dynamic economy requires much less tolerance for outright falsities. Of course, the statistics system still plays catch-up to an economy that is sprinting ahead of it, making the data far from perfect.
Some were surprised by one of the Wikileaks cables that caught Vice Premier Li Keqiang mocking his provincial-level GDP figures as unreliable. It shouldn't have been a surprise. Since the late 1990s, using electricity consumption as a proxy for economic activity has remained a fairly normal practice at both the central and local levels. Relying on "proxy indicators" for GDP growth is one way by which the central leaders counter what they know to be potential local-level doctoring--or "add water" (加水) in Chinese parlance--of their stats, leading to inflated GDP and other growth metrics. Orlik explains some of these proxies in detail.
One reason that electricity consumption has correlated relatively well with economic growth is because industry is by far the largest consumer of power, at perhaps 70 or 75%. As the last decade has been basically defined by China's hyper industrialization phase, capturing a large enough slice of industries--which are massive energy guzzlers--meant you had a rough, but imprecise, picture of the broader economy. The key question over the next decade is whether this correlation breaks down, as China aspires to restructure its economy toward a less industry-led growth model. That is indeed a major pillar of the 12th Five-Year Plan.
If China succeeds in the transition, I suspect Orlik will have to publish an updated edition of his guide to Chinese economic data.
Damien Ma is a fellow at the Paulson Institute, where he focuses on investment and policy programs, and on the Institute's research and think-tank activities. Previously, he was a lead China analyst at Eurasia Group, a political risk research and advisory firm.
He lives near San Francisco, makes more than $50,000 per year, and is voting for the billionaire to fight against political correctness.
For several days, I’ve been corresponding with a 22-year-old Donald Trump supporter. He is white, has a bachelor’s degree, and earns $50,000 to $60,000 per year.
He lives near San Francisco.
“I recently became engaged to my Asian fiancée who is making roughly 3 times what I make, and I am completely supportive of her and proud she is doing so well,” he wrote. “We’ve both benefitted a lot from globalization. We are young, urban, and have a happy future planned. We seem molded to be perfect young Hillary supporters,” he observed, “but we're not. In 2016, we're both going for Trump.”
At first, we discussed Bill Clinton.
Last week, I wrote an article asking why Trump supporters aren’t bothered that their candidate called Clinton a shameful abuser of women who may well be a rapist. After all, Trump used to insist that Clinton was a victim of unfair treatment during his sex scandals. Either Trump spent years defending a man that he believed to be a sexual predator, even welcoming him as a guest at his wedding, or Trump is now cynically exploiting a rape allegation that he believes to be false.
A real-time chronicle of Donald Trump’s unpresidential statements.
People will look back on this era in our history, to see what was known about Donald Trump while Americans were deciding whether to choose him as president. Here’s a running chronicle from James Fallows on the ways in which Trump has been unpresidential in an unprecedented way. (If you’d like to flag examples to include, please let us know.)
But while it’s easy to hurl insults at 20-somethings (and 30-somethings) still crashing with their parents, the image of a spoiled upper-middle class adult spending all day on the couch playing video games is pretty far from the reality of most Millennials who wind up back home.
In fact, the very same data from Pew’s recent report doesn’t support that portrayal. Instead, the Millennials who are most likely to wind up living with their relatives are those who come from already marginalized groups that are plagued with low employment, low incomes, and low prospects for moving up the economic ladder. Millennials who live at home are also more likely to be minorities, more likely to be unemployed, and less likely to have a college degree. Living at home is particularly understandable for those who started school and took out loans, but didn’t finish their bachelor’s degree. These Millennials shoulder the burden of student-loan debt without the added benefits of increased job prospects, which can make living with a parent the most viable option.
Finally, an explanation for Bitchy Resting Face Nation
Here’s something that has always puzzled me, growing up in the U.S. as a child of Russian parents. Whenever I or my friends were having our photos taken, we were told to say “cheese” and smile. But if my parents also happened to be in the photo, they were stone-faced. So were my Russian relatives, in their vacation photos. My parents’ high-school graduation pictures show them frolicking about in bellbottoms with their young classmates, looking absolutely crestfallen.
It’s not just photos: Russian women do not have to worry about being instructed by random men to “smile.” It is Bitchy Resting Face Nation, seemingly forever responding “um, I guess?” to any question the universe might pose.
This does not mean we are all unhappy! Quite the opposite: The virile ruler, the vodka, the endless mounds of sour cream—they are pleasing to some. It’s just that grinning without cause is not a skill Russians possess or feel compelled to cultivate. There’s even a Russian proverb that translates, roughly, to “laughing for no reason is a sign of stupidity.”
A conversation about how Game of Thrones’s latest twist fits in with George R.R. Martin’s typically cliché-busting portrayal of disability
In 2014, a few media outlets ran stories diagnosing Game of Thrones’s Hodor as having expressive aphasia, a neurological condition restricting speech. Some aphasia experts pushed back, saying that while Hodor has often been described as “simple-minded” or “slow of wits,” aphasia only affects linguistic communication—not intelligence.
I got my first mobile phone when I was in high school. It was 2005, and the feeling of “cool” overwhelmed me. Text messaging was something sacred in those days. I was allotted 200 messages per month. I powered off during classes, and charged my phone three times a week.
Today, I use my smartphone so much that I can’t imagine leaving the house without my charger. But it wasn’t until I conducted an experiment to learn calligraphy that I realized how deeply technology affects my life and my relationships.
I decided to blend a newfound interest in calligraphy with my lifelong passion for written correspondence to create a new kind of text messaging. The idea: I wanted to message friends using calligraphic texts for one week. The average 18-to-24-year-old sends and gets something like 4,000 messages a month, which includes sending more than 500 texts a week, according to Experian. The week of my experiment, I only sent 100. (I was 24 at the time.)
A 1979 book on presidential selection inadvertently predicted the rise of Trump—and the weakness of a popular primary system.
Predictions are dangerous business, especially in the hall of mirrors that American politics has become. Suffice it to say, no one called this U.S. presidential election cycle—not Trump, not Sanders, not any of it.
Except, perhaps, in a round-about way, a 1979 book about the presidential-primary system. James Ceaser, a University of Virginia professor, outlined the history and potential weaknesses of various nomination processes, including one that largely relies on popular primaries. Starting in the early 1970s, Democrats and Republicans began reforming their primary-election processes, transferring influence over nominations away from party leaders to voters. This kind of system is theoretically more democratic, but it also has weaknesses—some of which have been on display in 2016. When I spoke with a couple of conservative political-science professors about their field last month, one of them remarked, with just a hint of jealousy, “I expect Jim Ceaser to take a victory lap around the country saying I told you so.”
Narcissism, disagreeableness, grandiosity—a psychologist investigates how Trump’s extraordinary personality might shape his possible presidency.
In 2006, Donald Trump made plans to purchase the Menie Estate, near Aberdeen, Scotland, aiming to convert the dunes and grassland into a luxury golf resort. He and the estate’s owner, Tom Griffin, sat down to discuss the transaction at the Cock & Bull restaurant. Griffin recalls that Trump was a hard-nosed negotiator, reluctant to give in on even the tiniest details. But, as Michael D’Antonio writes in his recent biography of Trump, Never Enough, Griffin’s most vivid recollection of the evening pertains to the theatrics. It was as if the golden-haired guest sitting across the table were an actor playing a part on the London stage.
“It was Donald Trump playing Donald Trump,” Griffin observed. There was something unreal about it.
A rock structure, built deep underground, is one of the earliest hominin constructions ever found.
In February 1990, thanks to a 15-year-old boy named Bruno Kowalsczewski, footsteps echoed through the chambers of Bruniquel Cave for the first time in tens of thousands of years.
The cave sits in France’s scenic Aveyron Valley, but its entrance had long been sealed by an ancient rockslide. Kowalsczewski’s father had detected faint wisps of air emerging from the scree, and the boy spent three years clearing away the rubble. He eventually dug out a tight, thirty-meter-long passage that the thinnest members of the local caving club could squeeze through. They found themselves in a large, roomy corridor. There were animal bones and signs of bear activity, but nothing recent. The floor was pockmarked with pools of water. The walls were punctuated by stalactites (the ones that hang down) and stalagmites (the ones that stick up).