National Bureau of Statistics Strikes Progressive Note
What’s going on at China’s National Bureau of Statistics (NBS)? Years of criticism from foreign economists on the way GDP is calculated had little impact on China’s lackluster statistical practices. But a domestic uproar over the failings of the wage and house price data seems to have done the trick.
Ma Jiantang, the head of the NBS, has been striking a decidely progressive note. At a conference today, he made several promises for the reform of key aspects of China’s economic data. This is my translation of the key points of a Xinhua article covering the event:
‘GDP data - we are working toward a unified system for calculating GDP - a trial is already underway with several provinces.
House prices - consultations are underway with other ministries on a new way to collect and calculate house price data and a proposal for public consultation will be out the door in advance of the October holiday. We will be taking advantage of the current population census to record the number of homes that are empty - as a contribution to understanding the level of speculative purchases in the residential property market.
Wage data - the NBS has already made a major reform to collect and publish data on wages of workers in small private firms. Now we plan to improve data collection so that we will be able to calculate and publish data on wage dispersion.
Unemployment - the population census will be used as the basis of developing a new and more representative sample of the labour market - with the new system developed over the course of 2011.’
On GDP, I think Ma is referring to the different approaches used at a provincial level to calculate local GDP. This is still the source of some embarassment, with the sum of provincial GDP typically larger than the NBS calculation of national GDP.
On housing, clearly the census is a much better means of determining the percentage of speculative purchases in the property market than the current approach favoured by China watchers - which consists of picking a few buildings at random and counting the number of apartments with no lights on in the evening.
On wages, data on wages broken down by low, medium, and high earners would be an important contribution to increasing understanding of how China’s labour markets work, and the gap between the haves and the have nots. A more ambitious and challenging step would be to start collecting and publishing data on wages for migrant workers (the current survey only covers registered urban workers).
As is the case with the wage data, the key to improving unemployment data would be to develop a sample which includes the tens of millions of migrant workers who are currently excluded from the NBS calculation, but who are the most at risk of unemployment when the economy turns down.
You can see the original article here.