Journal
ECOLOGICAL INDICATORS
Volume 69, Issue -, Pages 758-770Publisher
ELSEVIER
DOI: 10.1016/j.ecolind.2016.04.050
Keywords
Directed technological change; Output elasticity of production factors; Green total factor productivity growth; Green development transformation; Stochastic frontier analysis
Categories
Funding
- National Natural Science Foundation of China [71373153]
- Major Project of National Social Science Foundation of China [14ZDB144]
- Program for New Century Excellent Talents in University [NCET-13-0890]
- Shanghai Philosophy and Social Science Fund Project [2014BJB001, 2015BJB005]
- Shuguang Program - Shanghai Education Development Foundation and Shanghai Municipal Education Commission [14SG32]
- Key Project of Zhejiang Statistics Research Program [201630]
- Scientific Innovation Fund of Shanghai University of Finance and Economics for Postgraduate [CXJJ-2013-213]
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The degree of technological change biased to the environmental factor is crucial to industrial sustainable development. Using the stochastic frontier analysis method based on the translog production function and the panel data of 32 industrial sub-sectors in Shanghai over 1994-2011, this paper combines the evolution dynamic of the frontier technological structure with the evolution dynamic of technological change direction to estimate the output elasticities of production factors and the growth rate of green total factor productivity. Also, we investigate and compare the degrees of technological change biased to four production factors, i.e., capital, labor, energy, and carbon emissions. The results show that the industrial green total factor productivity in Shanghai presents an overall upward trend and mainly depends on the technical efficiency change. The improvements of labor productivity, R&D intensity, and energy efficiency can effectively enhance the green technical efficiency, while capital deepening has a mitigation effect on the green technical efficiency. The technological change of Shanghai's industrial production biases to energy use and capital saving, causing a high energy demand of industrial development. Under the dual impacts of economic development and energy-saving and emission-reduction policies, the degree of technological change biased to the environmental factor (carbon emissions) displays strong and weak alternations, indicating that the green bias of industrial technological change in Shanghai is not stable and that the green transformation of industrial development model needs to be further advanced. (C) 2016 Elsevier Ltd. All rights reserved.
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