The layout characteristics of China's nonferrous metals industry and implication of industry structural adjustment innovation policy

Kang, Canhua

doi:10.1109/iciii.2012.6339923

Cited by 1 publication

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“…In terms of spatial layout, the regression results show that the metal smelting industry in the inland regions has a higher CEE level, which is caused by the long-term mismatch between the production and consumption regions of metal products in China. According to Sun and Kang [46], this characteristic emerged in China's metal smelting industry before 2010. For example, in 2009, central, southwestern and northwestern China were the main production bases for zinc, but none of these three regions was the largest consumption area; the eastern region was the largest.…”

Section: Discussion and Policy Suggestions 41 Emperical Results Discu...mentioning

confidence: 99%

Research on the Spatial-Temporal Distribution Characteristics and Influencing Factors of Carbon Emission Efficiency in China’s Metal Smelting Industry—Based on the Three-Stage DEA Method

et al. 2022

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The threat of global climate change has encouraged the international community to pay close attention to the levels of greenhouse gases, such as carbon dioxide, in the atmosphere. China has the world’s largest metal smelting industry, which is a major energy-consuming and carbon-emitting industry. Thus, this industry’s low-carbon transition is of great significance. Carbon emission efficiency (CEE) is a key indicator for the metal smelting industry to prioritize sustainable development. This paper applies a three-stage data envelopment analysis model with undesirable outputs to estimate CEE for 30 provinces from 2005 to 2020 in China, and analyzes the influencing factors using a spatial Durbin model. The results show that the CEE level generally improved in all Chinese provinces during the sample period, but the average CEE in the eastern region was 1.05 compared to 1.07 in the western and central regions, with the latter two regions progressing faster in terms of low carbon production capacity. The national average Malmquist–Luenberger (ML) index demonstrates a significant increase in technical efficiency across regions in 2010 and 2017, peaking in 2017. The study also suggests that current green credit and environmental regulations are not effective in promoting CEE improvements in the metal smelting industry, and that existing policies should be modified. Moreover, the spatial regression results indicate that the cross-regional transfer of low-carbon production technologies in China is largely complete. This study provides a more objective evaluation of the CEE levels of metal smelting across China, providing the government with a new perspective to guide the green transformation of energy-intensive industries.

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Section: Discussion and Policy Suggestions 41 Emperical Results Discu...mentioning

confidence: 99%

Research on the Spatial-Temporal Distribution Characteristics and Influencing Factors of Carbon Emission Efficiency in China’s Metal Smelting Industry—Based on the Three-Stage DEA Method

et al. 2022

View full text Add to dashboard Cite

show abstract

The layout characteristics of China's nonferrous metals industry and implication of industry structural adjustment innovation policy

Cited by 1 publication

References 4 publications

Research on the Spatial-Temporal Distribution Characteristics and Influencing Factors of Carbon Emission Efficiency in China’s Metal Smelting Industry—Based on the Three-Stage DEA Method

Research on the Spatial-Temporal Distribution Characteristics and Influencing Factors of Carbon Emission Efficiency in China’s Metal Smelting Industry—Based on the Three-Stage DEA Method

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