Energy-biased technical change in the Chinese industrial sector with CES production functions
-
Altmetric Citations
Zha, Donglan; Kavuri, Anil Savio; Si, Songjian
Description
We develop a theoretical framework to study energy-biased technical change considering capital, labor and energy as inputs. The framework involves a first order condition estimation of elasticity and technical change parameters for a three factor-nested Constant Elasticity of Substitution (CES) function. Technical change parameters, elasticities and time derivatives of marginal products are combined to compute technical change bias. Conceptually, we introduce total bias in order to estimate the...[Show more]
dc.contributor.author | Zha, Donglan | |
---|---|---|
dc.contributor.author | Kavuri, Anil Savio | |
dc.contributor.author | Si, Songjian | |
dc.date.accessioned | 2018-01-10T01:02:25Z | |
dc.identifier.issn | 0360-5442 | |
dc.identifier.uri | http://hdl.handle.net/1885/139143 | |
dc.description.abstract | We develop a theoretical framework to study energy-biased technical change considering capital, labor and energy as inputs. The framework involves a first order condition estimation of elasticity and technical change parameters for a three factor-nested Constant Elasticity of Substitution (CES) function. Technical change parameters, elasticities and time derivatives of marginal products are combined to compute technical change bias. Conceptually, we introduce total bias in order to estimate the direction without requiring a direct comparison with another factor. For Chinese industries from 1990 to 2012, the optimal structure is capital and energy to be combined at the composite level and then with labor to form total output. Technical change is found to be unambiguously energy biased, it increases in every year, and the bias is predominately away from labor. The results show that Chinese industrialization was fuelled by fossil fuels and energy-intensive technologies. Nonetheless, the growth rate of energy-biased technical change decreased during the 2000s that may result from more energy efficient development. | |
dc.description.sponsorship | financial support provided by the China Natural Science Funding No. 71673134, Qing Lan Project. | |
dc.format.mimetype | application/pdf | |
dc.publisher | Elsevier | |
dc.rights | © 2017 Elsevier B.V. | |
dc.source | Energy | |
dc.subject | Biased technological change | |
dc.subject | CES production function | |
dc.subject | Elasticity of substitution | |
dc.title | Energy-biased technical change in the Chinese industrial sector with CES production functions | |
dc.type | Journal article | |
dc.date.issued | 2017 | |
local.publisher.url | https://www.elsevier.com/ | |
local.type.status | Accepted Version | |
local.contributor.affiliation | Kavuri, A. S., Crawford School of Public Policy, The Australian National University | |
local.identifier.doi | 10.1016/j.energy.2017.11.087 | |
dcterms.accessRights | Open Access | |
dc.provenance | http://www.sherpa.ac.uk/romeo/issn/0360-5442/..."Author's post-print on open access repository after an embargo period of between 12 months and 48 months" from SHERPA/RoMEO site (as at 10/01/18). | |
Collections | ANU Research Publications |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
1-s2.0-S036054421731945X-main.pdf | 556.64 kB | Adobe PDF |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator