Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Technical change and total factor productivity growth: The case of Chinese provinces
Department of Food and Resource Economics, College of Life Sciences and Biotechnology, Korea University, Seoul, South Korea.ORCID iD: 0000-0002-7902-4683
Department of Economics, Binghamton University, Binghamton, NY, United States.
2011 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 78, no 4, p. 575-590Article in journal (Refereed) Published
Abstract [en]

In the literature technical change (TC) is mostly assumed to be exogenous and specified as a function of the time trend or time dummies. However, some exogenous external factors other than time can also affect TC. In this paper we model TC via time trend (external non-economic) as well as other exogenous (external economic) factors (technology shifters). For this we define technology indices based on the external economic factors and the time trend. The specification of production function is then amended to accommodate these technology indices which are not necessarily separable from the traditional inputs. That is, these technology indices allow for non-neutral shift in the production function. In doing so we are able to decompose TC (a component of TFP change) into two parts. One part is driven by time and the other part is related to producer-specific external economic factors. The latter can further be decomposed into each external economic factors. The empirical model uses panel data on Chinese provinces. We identify a number of key technology shifters and their effect on technical change and TFP growth of provinces are examined. © 2010 Elsevier Inc.

Place, publisher, year, edition, pages
2011. Vol. 78, no 4, p. 575-590
Keywords [en]
Chinese provinces; Economic factors; Empirical model; External factors; Key technologies; Non-neutral; Panel data; Production function; Technical change; Time trends; Total factor productivity, Productivity; Telecommunication industry, Technology, economic impact; empirical analysis; numerical model; panel data; total factor productivity, China
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-24496DOI: 10.1016/j.techfore.2010.11.006Scopus ID: 2-s2.0-79952701798OAI: oai:DiVA.org:hj-24496DiVA, id: diva2:742494
Available from: 2014-09-01 Created: 2014-09-01 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Heshmati, Almas

Search in DiVA

By author/editor
Heshmati, Almas
In the same journal
Technological forecasting & social change
Economics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 211 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf