The Difference of Capital Input and Productivity in Service Industries: Based on Four Stages Bootstrap-DEA Model

Xi Wei () and Cheng Xiran
Additional contact information
Xi Wei: School of Statistics, Beijing Normal University, Beijing, 100875, China
Cheng Xiran: School of Statistics, Beijing Normal University, Beijing, 100875, China

Journal of Systems Science and Information, 2018, vol. 6, issue 4, 320-335

Abstract: Based on the concept of productive capital stock, this paper estimated capital input by three asset types of China’s 36 service industries in 2003–2015, and compared with the results of wealth capital stock. This study found that the wealth capital stock method underestimates the actual capital input in each sector in varying degrees, and it may interference the accuracy of productivity evaluation in sectors. According to the new estimation results of capital input, this paper further applied four stages bootstrap-DEA method to estimate industrial productivity, and calculated its confidence intervals. This study found that, the years of education and the average wage have a significant positive impact on the productivity of service industries; the productive services have a short board effect in the whole service industry.

Keywords: service industries; productivity; productive capital stock; wealth capital stock; four stages bootstrap-DEA (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21078/JSSI-2018-320-16 (text/html)

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:bpj:jossai:v:6:y:2018:i:4:p:320-335:n:3

DOI: 10.21078/JSSI-2018-320-16

Access Statistics for this article

Journal of Systems Science and Information is currently edited by Shouyang Wang

More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().