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Journal ArticleDOI

Industrial structure, technological innovation, and total-factor energy efficiency in China.

Binbin Yu
- 04 Jan 2020 - 
- Vol. 27, Iss: 8, pp 8371-8385
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TLDR
The study found that from 2003 to 2016, China’s total-factor energy efficiency showed a fluctuating trend of “falling first and then rising,” and due to the low conversion rate of scientific and technological achievements in China, the impact of technological innovation input on total-Factor energy efficiency is not significant.
Abstract
The promotion of industrial restructuring and technological innovation is the most important and realistic way of improving energy efficiency. This thesis uses the modified Super-SBM method to measure China’s total-factor energy efficiency and then uses the dynamic spatial panel model (DSPM) to verify the effect of industrial structure and technological innovation on total-factor energy efficiency. The study found that from 2003 to 2016, China’s total-factor energy efficiency showed a fluctuating trend of “falling first and then rising.” The inflection point appeared in 2012; total-factor energy efficiency in the Eastern region was significantly higher than the national average, while in the Central and Western regions, it was significantly lower. The results of the analysis show that both the service adjustment of the inter-industry structure and the productivity growth of the intra-industry structure significantly promote improvements in total-factor energy efficiency. However, due to the low conversion rate of scientific and technological achievements in China, the impact of technological innovation input on total-factor energy efficiency is not significant. This is in contradistinction to technological innovation output which does significantly improve total-factor energy efficiency. The above research conclusion is still robust and reliable after changing the measurement method and spatial weight matrix.

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Citations
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References
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A Slacks Based Measure of Efficiency in Data Envelopment Analysis

Kaoru Tone
TL;DR: A Slacks-Based measure of efficiency of efficiency in DEA that deals directly with the input surplus and the output shortage of the decision making unit (DMU) concerned and is unit invariant and monotone decreasing with respect toinput surplus and output shortage.

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TL;DR: In this article, the authors analyzed energy efficiency of 29 administrative regions in China for the period 1995-2002 with a newly introduced index, the index of total-factor energy efficiency (TFEE), which divides the target energy input by the actual energy input.
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US Regional Income Convergence: A Spatial Econometric Perspective

TL;DR: In this paper, the authors consider the question of US regional economic income convergence from a spatial econometric perspective and find strong evidence of misspecification due to ignored spatial error dependence, potentially complicating the transitional dynamics of the convergence process.
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Integrating energy efficiency performance in production management – gap analysis between industrial needs and scientific literature

TL;DR: In this article, the authors highlight the needs of industrial companies for integrating energy efficiency performance in production management and demonstrate that there exists a gap between the solutions available and the actual implementation in industrial companies.
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