The Experts below are selected from a list of 78846 Experts worldwide ranked by ideXlab platform
Miao Wang - One of the best experts on this subject based on the ideXlab platform.
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journey for green development transformation of china s Metal Industry a spatial econometric analysis
Journal of Cleaner Production, 2019Co-Authors: Chao Feng, Miao WangAbstract:Abstract The Metal Industry (MI) in China is energy and emissions intensive. This paper tries to provide guidance for the green development transformation of China's MI, by investigating the green total-factor productivity (GTFP) and its influencing factors using a global data envelopment analysis and a spatial Tobit regression model. The estimation results show that: (1) from 2000 to 2015, GTFP of China's MI enjoyed a considerable improvement. However, the current value of GTFP of China's MI is still less than 0.5, indicating that GTFP of China's MI is far from efficient; (2) the spatial correlation test shows that GTFPs of China's provincial MIs have positive spatial correlations. Most of the provinces scattered in “high-high” and “low-low” agglomerations; (3) GTFP of China's MI is significantly positive related to the degree of marketization, fiscal decentralization, environmental regulation, industrial scale, is significantly negative related to resources endowment and product structure, and has “U” shaped relationship with the level of economic development. The above results suggest that China already has made remarkable achievements in promoting green development of its MI. However, there is much room for further improvement. Policy options for the green development transformation of China's MI include but are not limited to promoting market-oriented and financial system reforms, strengthening environmental supervision, and optimizing industrial scale and product structure. Finally, recommendations for the effective implementation of these policies are provided at the end of the study.
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the driving forces and potential mitigation of energy related co2 emissions in china s Metal Industry
Resources Policy, 2018Co-Authors: Chao Feng, Jianbai Huang, Miao WangAbstract:Abstract Utilizing the logarithmic mean Divisia index (LMDI) method, this paper decomposes the CO2 emissions of China's Metal Industry into five factors, namely, industrial output, industrial structure, energy intensity, energy consumption structure, and carbon dioxide emissions coefficient. Then, a scenario analysis is used to predict future CO2 emissions and estimate the emission mitigation potential from 2016 to 2020. The results indicate that (1) from 2000 to 2015, China's Metal Industry witnessed substantial growth in CO2 emissions, showing an increase of 1015.56 million tons (Mt). (2) Of the five driving factors, the industrial output effect was mainly responsible for CO2 emissions growth, with a contribution ratio of 245.51% over the total CO2 emission change, with other driving factors held constant. In contrast, the energy intensity decline was decisive for reducing CO2 emission, followed by the industrial structure. (3) The energy consumption structure had the weakest effect on CO2 emission changes and presented an overall positive effect with some volatility. (4) The CO2 emission mitigation potential under the moderate and aggressive emission mitigation scenarios is predicted to be 219.30 and 1445.26 Mt in 2020, respectively. These research findings propose that the Chinese government should take full advantage of the mitigating factors (i.e., decreasing energy intensity and industrial restructuring), paying particular attention to the subsector of the smelting and pressing of ferrous Metals, and strive for breakthroughs.
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decomposing the change in energy consumption in china s nonferrous Metal Industry an empirical analysis based on the lmdi method
Renewable & Sustainable Energy Reviews, 2018Co-Authors: Miao Wang, Chao FengAbstract:This paper explores the salient factors driving the changes in energy consumption in China's nonferrous Metal Industry during the 2000–2014 period. We employ the logarithmic mean Divisia index (LMDI) method to decompose the change in energy consumption into the energy structure effect (ΔEES), the energy intensity effect (ΔEEI), the industrial structure effect (ΔES), the labour productivity effect (ΔEG) and the industrial scale effect (ΔEL). The main results revealed the following: (1) from 2000 to 2014, China's nonferrous Metal Industry's energy consumption increased by approximately 69.08 million tons of coal equivalent (tce); (2) ΔEG increased energy consumption in all years and was the largest contributor to the increase in energy consumption (followed by ΔEL), whereas ΔEEI was the dominant factor in reducing energy consumption over the same period, accounting for 104.07% of the change in the absolute value of total energy consumption; and (3) ΔEES and ΔES contributed 0.24% and 1.45% to the change, respectively. At present, the decline in ΔEEI cannot completely offset the increases resulting from the other four effects. This paper then provides several policy recommendations based on these results.
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Analysis of green total-factor productivity in China's regional Metal Industry: A meta-frontier approach
Resources Policy, 2018Co-Authors: Chao Feng, Jianbai Huang, Miao WangAbstract:Abstract Nowadays, the Metal Industry has become an important source of China's energy consumption and environmental pollution. With the tightening of resources and environmental constraints and the calls for green development, transforming the development mode and improving green total-factor productivity (TFP) of China's Metal Industry become the only way to help China get out of the dual dilemmas of resources depletion and environmental degradation. By applying a meta-frontier approach, this paper investigates the sources of green TFP changes and its inefficiency of China's Metal Industry during 2000–2015, from regional and provincial perspectives. The results show that: (1) green TFP in China's Metal Industry increased by 11.52% annually. Technological progress is the most critical driving factor and the reduction of regional technology gap plays a certain role in promoting green TFP growth, while declines in scale efficiency and pure technical efficiency are two inhibitors; (2) the current green TFP of China's Metal Industry is relatively low and green TFP inefficiency mainly comes from three aspects, i.e., technology gap, scale inefficiency, and pure technical inefficiency; (3) Because the sources of green TFP inefficiency in Metal Industry and the potential for green TFP gains show distinct spatial characteristics, this paper takes a further step to formulate specific strategies for Metal industries in each of China's provinces to improve their green TFPs, from three aspects of bridging the technology gap, adjusting industrial scale, and upgrading management level.
Chao Feng - One of the best experts on this subject based on the ideXlab platform.
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journey for green development transformation of china s Metal Industry a spatial econometric analysis
Journal of Cleaner Production, 2019Co-Authors: Chao Feng, Miao WangAbstract:Abstract The Metal Industry (MI) in China is energy and emissions intensive. This paper tries to provide guidance for the green development transformation of China's MI, by investigating the green total-factor productivity (GTFP) and its influencing factors using a global data envelopment analysis and a spatial Tobit regression model. The estimation results show that: (1) from 2000 to 2015, GTFP of China's MI enjoyed a considerable improvement. However, the current value of GTFP of China's MI is still less than 0.5, indicating that GTFP of China's MI is far from efficient; (2) the spatial correlation test shows that GTFPs of China's provincial MIs have positive spatial correlations. Most of the provinces scattered in “high-high” and “low-low” agglomerations; (3) GTFP of China's MI is significantly positive related to the degree of marketization, fiscal decentralization, environmental regulation, industrial scale, is significantly negative related to resources endowment and product structure, and has “U” shaped relationship with the level of economic development. The above results suggest that China already has made remarkable achievements in promoting green development of its MI. However, there is much room for further improvement. Policy options for the green development transformation of China's MI include but are not limited to promoting market-oriented and financial system reforms, strengthening environmental supervision, and optimizing industrial scale and product structure. Finally, recommendations for the effective implementation of these policies are provided at the end of the study.
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the driving forces and potential mitigation of energy related co2 emissions in china s Metal Industry
Resources Policy, 2018Co-Authors: Chao Feng, Jianbai Huang, Miao WangAbstract:Abstract Utilizing the logarithmic mean Divisia index (LMDI) method, this paper decomposes the CO2 emissions of China's Metal Industry into five factors, namely, industrial output, industrial structure, energy intensity, energy consumption structure, and carbon dioxide emissions coefficient. Then, a scenario analysis is used to predict future CO2 emissions and estimate the emission mitigation potential from 2016 to 2020. The results indicate that (1) from 2000 to 2015, China's Metal Industry witnessed substantial growth in CO2 emissions, showing an increase of 1015.56 million tons (Mt). (2) Of the five driving factors, the industrial output effect was mainly responsible for CO2 emissions growth, with a contribution ratio of 245.51% over the total CO2 emission change, with other driving factors held constant. In contrast, the energy intensity decline was decisive for reducing CO2 emission, followed by the industrial structure. (3) The energy consumption structure had the weakest effect on CO2 emission changes and presented an overall positive effect with some volatility. (4) The CO2 emission mitigation potential under the moderate and aggressive emission mitigation scenarios is predicted to be 219.30 and 1445.26 Mt in 2020, respectively. These research findings propose that the Chinese government should take full advantage of the mitigating factors (i.e., decreasing energy intensity and industrial restructuring), paying particular attention to the subsector of the smelting and pressing of ferrous Metals, and strive for breakthroughs.
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decomposing the change in energy consumption in china s nonferrous Metal Industry an empirical analysis based on the lmdi method
Renewable & Sustainable Energy Reviews, 2018Co-Authors: Miao Wang, Chao FengAbstract:This paper explores the salient factors driving the changes in energy consumption in China's nonferrous Metal Industry during the 2000–2014 period. We employ the logarithmic mean Divisia index (LMDI) method to decompose the change in energy consumption into the energy structure effect (ΔEES), the energy intensity effect (ΔEEI), the industrial structure effect (ΔES), the labour productivity effect (ΔEG) and the industrial scale effect (ΔEL). The main results revealed the following: (1) from 2000 to 2014, China's nonferrous Metal Industry's energy consumption increased by approximately 69.08 million tons of coal equivalent (tce); (2) ΔEG increased energy consumption in all years and was the largest contributor to the increase in energy consumption (followed by ΔEL), whereas ΔEEI was the dominant factor in reducing energy consumption over the same period, accounting for 104.07% of the change in the absolute value of total energy consumption; and (3) ΔEES and ΔES contributed 0.24% and 1.45% to the change, respectively. At present, the decline in ΔEEI cannot completely offset the increases resulting from the other four effects. This paper then provides several policy recommendations based on these results.
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Analysis of green total-factor productivity in China's regional Metal Industry: A meta-frontier approach
Resources Policy, 2018Co-Authors: Chao Feng, Jianbai Huang, Miao WangAbstract:Abstract Nowadays, the Metal Industry has become an important source of China's energy consumption and environmental pollution. With the tightening of resources and environmental constraints and the calls for green development, transforming the development mode and improving green total-factor productivity (TFP) of China's Metal Industry become the only way to help China get out of the dual dilemmas of resources depletion and environmental degradation. By applying a meta-frontier approach, this paper investigates the sources of green TFP changes and its inefficiency of China's Metal Industry during 2000–2015, from regional and provincial perspectives. The results show that: (1) green TFP in China's Metal Industry increased by 11.52% annually. Technological progress is the most critical driving factor and the reduction of regional technology gap plays a certain role in promoting green TFP growth, while declines in scale efficiency and pure technical efficiency are two inhibitors; (2) the current green TFP of China's Metal Industry is relatively low and green TFP inefficiency mainly comes from three aspects, i.e., technology gap, scale inefficiency, and pure technical inefficiency; (3) Because the sources of green TFP inefficiency in Metal Industry and the potential for green TFP gains show distinct spatial characteristics, this paper takes a further step to formulate specific strategies for Metal industries in each of China's provinces to improve their green TFPs, from three aspects of bridging the technology gap, adjusting industrial scale, and upgrading management level.
Nobuaki Fujiwara - One of the best experts on this subject based on the ideXlab platform.
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purification and characterization of an alkaline lipase from pseudomonas aeruginosa isolated from putrid mineral cutting oil as component of Metalworking fluid
Journal of Bioscience and Bioengineering, 2006Co-Authors: Ivanka Karadzic, Akihiko Masui, Lidija Izrael Zivkovic, Nobuaki FujiwaraAbstract:Extracellular lipase was isolated and purified from the culture broth of Pseudomonas aeruginosa, an extremophile which naturally grows in water-soluble mineral cutting oil (pH 10) used as Metalworking fluid (MWF) for cooling and lubrication in industrial Metalworking processes. The molecular mass of the purified lipase was estimated by SDS–PAGE to be 54 kDa. The optimum pH and temperature were 11 and 70°C, respectively. The enzyme is stabile over a broad pH range (pH 4–11.5). The lipase preferably acted on triacylglycerols with medium-chain fatty acids. The lipase was inhibited strongly by Zn2+, Hg2+, Cu2+ and slightly by Ca2+ and Mg2+. Non-ionic detergents and sodiumdeoxycholate enhanced lipase activity. Alkaline lipase from P. aeruginosa, capable of growing in a water-restricted medium has excellent properties and good potential for biotechnological applications in the Metal Industry. Its marked stability and activity in organic solvents suggest that this lipase is highly suitable as a biotechnological tool in a water-restricted medium with a variety of applications including organosynthetic reactions and the control and prevention of MWF putrification in the Metal Industry.
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Purification and characterization of a protease from Pseudomonas aeruginosa grown in cutting oil
Journal of Bioscience and Bioengineering, 2004Co-Authors: Ivanka Karadzic, Akihiko Masui, Nobuaki FujiwaraAbstract:The Pseudomonas aeruginosa san-ai strain was isolated from water-soluble cutting oil used for cooling and lubrication during industrial Metal-working processes. This strain, which is grown in a high alkaline (pH 10) mixture of surfactants and mineral oil, produces an extracellular proteolytic enzyme. We have purified and characterized this 18 kDa protease. The P. aeruginosa san-ai protease functions optimally at pH 9.0 and 60°C. Additionally, it is a Zn-containing Metalloenzyme, and its monomeric structure contains at least one disulfide bond. Because the enzyme is stable in the presence of organic solvents, it is suitable for peptide synthesis. Furthermore, the P. aeruginosa san-ai protease could be used in an intelligent drug delivery system (DDS) designed for applications in the Metal Industry for prevention of putrefaction of cutting oil.
Ivanka Karadzic - One of the best experts on this subject based on the ideXlab platform.
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purification and characterization of an alkaline lipase from pseudomonas aeruginosa isolated from putrid mineral cutting oil as component of Metalworking fluid
Journal of Bioscience and Bioengineering, 2006Co-Authors: Ivanka Karadzic, Akihiko Masui, Lidija Izrael Zivkovic, Nobuaki FujiwaraAbstract:Extracellular lipase was isolated and purified from the culture broth of Pseudomonas aeruginosa, an extremophile which naturally grows in water-soluble mineral cutting oil (pH 10) used as Metalworking fluid (MWF) for cooling and lubrication in industrial Metalworking processes. The molecular mass of the purified lipase was estimated by SDS–PAGE to be 54 kDa. The optimum pH and temperature were 11 and 70°C, respectively. The enzyme is stabile over a broad pH range (pH 4–11.5). The lipase preferably acted on triacylglycerols with medium-chain fatty acids. The lipase was inhibited strongly by Zn2+, Hg2+, Cu2+ and slightly by Ca2+ and Mg2+. Non-ionic detergents and sodiumdeoxycholate enhanced lipase activity. Alkaline lipase from P. aeruginosa, capable of growing in a water-restricted medium has excellent properties and good potential for biotechnological applications in the Metal Industry. Its marked stability and activity in organic solvents suggest that this lipase is highly suitable as a biotechnological tool in a water-restricted medium with a variety of applications including organosynthetic reactions and the control and prevention of MWF putrification in the Metal Industry.
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Purification and characterization of a protease from Pseudomonas aeruginosa grown in cutting oil
Journal of Bioscience and Bioengineering, 2004Co-Authors: Ivanka Karadzic, Akihiko Masui, Nobuaki FujiwaraAbstract:The Pseudomonas aeruginosa san-ai strain was isolated from water-soluble cutting oil used for cooling and lubrication during industrial Metal-working processes. This strain, which is grown in a high alkaline (pH 10) mixture of surfactants and mineral oil, produces an extracellular proteolytic enzyme. We have purified and characterized this 18 kDa protease. The P. aeruginosa san-ai protease functions optimally at pH 9.0 and 60°C. Additionally, it is a Zn-containing Metalloenzyme, and its monomeric structure contains at least one disulfide bond. Because the enzyme is stable in the presence of organic solvents, it is suitable for peptide synthesis. Furthermore, the P. aeruginosa san-ai protease could be used in an intelligent drug delivery system (DDS) designed for applications in the Metal Industry for prevention of putrefaction of cutting oil.
Jose R Alvarez - One of the best experts on this subject based on the ideXlab platform.
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recovery of heavy Metals from Metal Industry waste waters by chemical precipitation and nanofiltration
Desalination, 2006Co-Authors: Maria Jesus Gonzalezmunoz, Maria Amparo Rodriguez, Susana Luque, Jose R AlvarezAbstract:Heavy Metals are one of the most important contaminants in water and soil. Heavy Metals are discharged to the environment by several industries, such as mining, Metallurgical, electronic, electroplating and Metal finishing. The removal of heavy Metals from wastewaters is of critical importance due to their high toxicity and tendency to accumulate in living organisms. Moreover, heavy Metals can not be degraded or destroyed. This study is carried out in collaboration with Met-Mex Penoles, the world’s fourth largest Metallurgical complex, and the largest producer of refined silver and Metallic bismuth. The complex is located in the city of Torreon Coahuila, Mexico, in a region in which water is scarce. Among the main environmental objectives of Met-Mex Penoles is the reduction of waste water and solid wastes. In the plant under study, a number of waste waters have been targeted. All of them have in common a high concentration of heavy Metals (the most abundant ones are As, Cd, Pb, Se, Fe and Zn) and a low pH (below 2 units) as a result of a variety of hydroand piroMetallurgical processes that take place in the production processes (i.e. electrolytic separation of zinc, acid scrubber towers, lead refinery, chemical separation of selenium, ammonic sulphate production, etc.). All these Metals found in the waste waters are still valuable products that can be recovered or removed from the residual waters allowing the reuse of a clean liquid stream into the production process. The objective of this work is to carry out a comparison between two different waste water treatments in order to optimize the reuse of water and the recovery of heavy Metal ions (Zn, Se, As, Cd and Pb). First of all, Metal precipitation using sulfides has been evaluated in terms of Metal removal, amount of sludge produced, and water reuse. Then, nanofiltration is studied as an alternative separation processes as well as a second step in an integrated process with precipitation, in order to obtain a water stream that can be directly reused in the production process. *Corresponding author.