An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry

Shao, Lei; He, Yingying; Feng, Chao; Zhang, Shijing

doi:10.1016/j.resourpol.2016.10.010

Cited by 35 publications

(14 citation statements)

References 13 publications

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“…The results show that the annual growth rate of total factor productivity averages 7.96% during this period, and that technical change is the main source of this growth. Similarly, Shao et al [32] also find that technical change is the largest contributor to the growth of TFP for China's nonferrous metal industry, followed by the improvement in scale efficiency. Li and Lin [33], and Li and Lin [34] measure green productivity growth in China's industrial sector and manufacturing using an improved Malmquist-Luenberger productivity index.…”

Section: Literature Reviewmentioning

confidence: 89%

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Shen

Lin

2017

Sustainability

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Abstract:Based on stochastic frontier analysis and translog input distance function, this paper examines the total factor energy efficiency of China's industry using input-output data of 30 sub-industries from 2002 to 2014, and decomposes the changes in estimated total factor energy efficiency into the effects of technical change, technical efficiency change, scale efficiency change and input-mix effect. The results show that during this period the total factor energy efficiency in China's industry grew annually at a rate of 3.63%; technical change, technical efficiency change and input-mix effect contributed positively to the change in total factor energy efficiency; while scale efficiency change contributed negatively to it.

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Section: Literature Reviewmentioning

confidence: 89%

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Shen

Lin

2017

Sustainability

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“…The results show that inefficiency is present in most surveyed enterprises, average energy efficiency is only 61.1%, and the annual growth rate of total factor productivity averages of 7.96% during this period, technical change is the main source of this growth. Similarly, Shao et al [27] also find that technical change is the largest contributor to the growth of total factor productivity for China's nonferrous metal industry, followed by the improvement in scale efficiency. Li and Lin [28], Li and Lin [29] measure green productivity growth in China's industrial sector and manufacturing using an improved Malmquist-Luenberger productivity index.…”

Section: Literature Reviewmentioning

confidence: 90%

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Shen¹,

Lin²

2017

Preprint

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Based on stochastic frontier analysis and translog input distance function, this paper examines the total factor energy efficiency of China's industry using input-output data of 30 subindustries from 2002 to 2014, and decomposes the changes in estimated total factor energy efficiency into the effects of technical change, technical efficiency change, scale efficiency change and inputmix effect. The results show that during this period the total factor energy efficiency in China's industry grows annually at a rate of 3.63%, technical change, technical efficiency change and inputmix effect contribute positively to the change in total factor energy efficiency, while scale efficiency change contributes negatively to it.

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“…As a result, university-industry cooperation groups from provincial public universities showed efficiency. Lee and Han (2011) [11] conducted an efficiency evaluation of 527 public libraries in Korea using the DEA model. As a result, the average efficiency of public libraries was found to be very low, and the efficiency of public libraries established by the major cities and the capital regions was relatively high.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There is little research on the efficiency of zinc smelters in domestic and overseas studies. Shao et al (2016) [11] used a DEA to investigate the total-factor productivity (TFP) of China's nonferrous metal industry. They identified the fluctuation of TFP and the key factors for it in the nonferrous metal industry during 2004-2013.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Analysis of East Asian Zinc Smelters and the Effects of Capacity and Bonus Zinc on Efficiency

Park

Kim

2019

Journal of Open Innovation: Technology, Market, and Complexity

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Non-ferrous metals are widely used as basic materials in various industrial fields, and zinc is a metal that is produced and used next to iron, aluminum, and copper. In this study, DEA (data envelopment analysis) was applied to measure the efficiency of 43 zinc smelters in three countries in East Asia: Korea, China, and Japan. The constant returns to scale (CRS) and the variable returns to scale (VRS) models, and the slack-based measure (SBM) were used for the analysis. As a result of the efficiency analysis, there were three efficient zinc smelters in the CRS model, 14 in the VRS model and 14 in the SBM. The average efficiency was 0.458 based on the SBM, which indicates that there is room for improvement in efficiency. In addition, the average scale efficiency value was 0.689, showing the scale to be inefficient. Therefore, it can be seen that the labor cost and the energy cost must be brought to an appropriate level. The Tobit regression analysis was used to analyze the causes of efficiency. The greater the capacity and the larger amount of bonus Zn of the refinery, the higher the efficiency of the refinery.

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An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry

Cited by 35 publications

References 13 publications

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Efficiency Analysis of East Asian Zinc Smelters and the Effects of Capacity and Bonus Zinc on Efficiency

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An empirical analysis of total-factor productivity in 30 sub-sub-sectors of China's nonferrous metal industry

Cited by 35 publications

References 13 publications

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

Total Factor Energy Efficiency of China&rsquo;s Industrial Sector: A Stochastic Frontier Analysis

Efficiency Analysis of East Asian Zinc Smelters and the Effects of Capacity and Bonus Zinc on Efficiency

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Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis