Explaining sectoral discrepancies between national and provincial statistics in China
Ben Ma,
Guojun Song,
Lei Zhang and
David A. Sonnenfeld
China Economic Review, 2014, vol. 30, issue C, 353-369
Abstract:
This paper examines sectoral contributions to discrepancies between China's national aggregate statistical values and the sum of provincial figures. In institutional terms, the paper then explores the sources of principally sectoral discrepancies. We find that the industrial sector has been the major contributor to discrepancies in both gross domestic product (GDP) and total energy consumption in recent years. Technical aspects such as statistical coverage, data collection method, and double-counting cannot explain the discrepancy. For the industrial sector, limited data accessibility undermines external checks and balances from the general public. As the primary bodies in collecting industrial data, the Provincial Bureaus of Statistics (PBSs) are not subject to effective internal checks and balances from other governmental divisions. To out-compete counterparts and get promoted, provincial leaders have explicit incentives to overstate provincial GDP, with industrial added value being the first statistic to be affected. This dynamic further extends to industrial energy consumption, which is over-reported as well.
Keywords: Index decomposition; Institutional arrangements; Data discrepancy; Gross domestic product (GDP); Energy consumption (search for similar items in EconPapers)
JEL-codes: C43 C82 O43 O53 Q43 R58 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:30:y:2014:i:c:p:353-369
DOI: 10.1016/j.chieco.2014.07.004
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