Business Tendency Surveys in China

Miao Chen () and Jiancheng Pan
Additional contact information
Miao Chen: National Bureau of Statistics of the People’s Republic of China
Jiancheng Pan: National Bureau of Statistics of the People’s Republic of China

A chapter in Business Cycles in BRICS, 2019, pp 265-277 from Springer

Abstract: Abstract The NBS has been conducting the quarterly business tendency surveys since 1999. The eight questionnaires cover eight sectors, and the respondents complete the questionnaire applicable to their business. The survey respondents are required to complete the questionnaires via internet under the guidance of statistic organizations. Due to the protection of the statistics law of the People’s Republic of China, the response rate in China is normally as high as more than 90%. Based on the results of business tendency surveys, the business climate index, business confidence index, and other indices are calculated. The NBS will try to improve the business tendency surveys in the following aspects: seasonal adjustment, high-frequency forecasting functions, international exchanges, and cooperation.

Keywords: Business tendency surveys (BTS); National Bureau of Statistics (NBS); China; Sampling; Probability-proportionate-to-size (PPS); Business climate index; Business confidence index (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:socchp:978-3-319-90017-9_15

Ordering information: This item can be ordered from
http://www.springer.com/9783319900179

DOI: 10.1007/978-3-319-90017-9_15

Access Statistics for this chapter

More chapters in Societies and Political Orders in Transition from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().