scholarly journals Industrial Metabolism Analysis and Green Optimization of a Painting Production Line

2021 ◽  
Vol 248 ◽  
pp. 02057
Author(s):  
Lai Wenjie
Keyword(s):  
Production Line ◽  
Balance Sheet ◽  
Material Balance ◽  
Resource Efficiency ◽  
Environmental Efficiency ◽  
Cleaning Agents ◽  
Industrial Parks ◽  
Industrial Metabolism ◽  
Metabolism Analysis ◽  
Spraying Method

This article takes a coating production line as an example, uses industrial metabolism analysis method to quantitatively analyse its material metabolism process, and forms a material balance sheet to evaluate resource efficiency and environmental efficiency. The results show that the resource efficiency of the coating production line is 0.4%, and the environmental efficiency is 0.51%, indicating that there is a serious waste of resources and greater environmental pressure. The reason is the old spraying method, the use of highly volatile paints and cleaning agents, and the higher VOC content of the paint. In response to these problems, this article combines the input and output content of the production line and proposes several green optimization approaches from the perspectives of cleaner production, circular economy and ecological industrial parks.

scholarly journals Mining Eco-Efficiency Measurement and Driving Factors Identification Based on Meta-US-SBM in Guangxi Province, China

2021 ◽  
Vol 18 (10) ◽  
pp. 5397
Author(s):  
Yonglin Li ◽  
Zhili Zuo ◽  
Deyi Xu ◽  
Yi Wei
Keyword(s):  
Economic Efficiency ◽  
Mining Industry ◽  
Resource Efficiency ◽  
Efficiency Measurement ◽  
Environmental Efficiency ◽  
External Factors ◽  
Beibu Gulf ◽  
Government Control ◽  
The Sustainable Development ◽  
Internal And External Factors

The mining industry is one of the pillar industries of Guangxi’s economic and social development. The output value of mining and related industries accounts for 27% of the whole district’s total industrial output value. Therefore, the mining eco-efficiency measurement in Guangxi can be of great significance for the sustainable development of Guangxi’s mining industry. This study adopted Meta-US-SBM to measure the mining eco-efficiency in Guangxi from 2008 to 2018, including economic efficiency, resource efficiency, and environmental efficiency. It used the standard deviation ellipse model to simulate the migration trend of four efficiencies in Guangxi and used GeoDetector and Tobit models to explore the internal and external factors that affect the mining eco-efficiency. The four efficiencies in Guangxi show large temporal and spatial heterogeneity, and the internal and external factors that affect the mining eco-efficiency are different. The following conclusions can be drawn. (1) Environmental efficiency and mining eco-efficiency are improving, while economic efficiency and resource efficiency are deteriorating. Cities bordering other provinces have a significantly better mining eco-efficiency than non-bordering cities. (2) The development center in Guangxi has migrated to the Beibu Gulf Economic Zone. (3) Natural resources index and mining economic scale have a great impact on the mining eco-efficiency, and with the increase of the mining economic scale, the mining eco-efficiency showed a typical “U-shaped” curve. Finally, this study put forward corresponding policy recommendations to improve the mining eco-efficiency in Guangxi from four aspects: opening-up, technological progress, regional coordination, and government control.

scholarly journals Examining the impact of conservation agriculture on environmental efficiency among maize farmers in Zambia

2016 ◽  
Vol 22 (2) ◽  
pp. 177-201 ◽  
Author(s):  
Abdul-Nafeo Abdulai ◽  
Awudu Abdulai
Keyword(s):  
Household Head ◽  
Balance Sheet ◽  
Conservation Agriculture ◽  
Environmental Efficiency ◽  
Conventional Farming ◽  
Access To Credit ◽  
Conventional Technology ◽  
Technology Heterogeneity ◽  
Fertilizer Recovery ◽  
The Impact

AbstractThis paper explores the impact of conservation agriculture (CA) on the environmental efficiency of maize farmers in Zambia, by comparing nitrogen fertilizer recovery between farms that practise CA and those using conventional farming technologies. The Nitrogen Index Tier Zero tool is employed in generating a nitrogen balance sheet at the farm level. As CA technology may improve farmers' access to better technology, we employ a selectivity-corrected meta-frontier approach to account for potential selection bias and technology heterogeneity. The empirical results suggest that farmers practising CA are environmentally more efficient than conventional farmers. The findings also show that environmental efficiency is significantly influenced by access to credit, farming experience and years of schooling of household head, land ownership and distance to markets. Moreover, farmers practising CA are found to be technically more efficient than those using the conventional technology.

Smart eco-industrial parks: A circular economy implementation based on industrial metabolism

2018 ◽  
Vol 135 ◽  
pp. 58-69 ◽  
Author(s):  
Alejandro M. Martín Gómez ◽  
Francisco Aguayo González ◽  
Mariano Marcos Bárcena
Keyword(s):  
Circular Economy ◽  
Industrial Parks ◽  
Industrial Metabolism

scholarly journals Input-Output Efficiency of Economic Growth: A Multielement System Perspective

2020 ◽  
Vol 12 (11) ◽  
pp. 4624
Author(s):  
Lei Kang ◽  
Zhouying Song
Keyword(s):  
Economic Efficiency ◽  
Resource Efficiency ◽  
Environmental Efficiency ◽  
High Yield ◽  
Spatiotemporal Pattern ◽  
Eastern Region ◽  
Input Output ◽  
System Perspective ◽  
Output Efficiency ◽  
Overall Evaluation

Achieving sustainable and efficient economic development involves the pursuit of a model with low input, low emissions, and high yield. One approach to this is by considering input-output efficiency, which has been studied by many previous studies. However, existing literature mainly tend only to give an overall evaluation of regional input-output efficiency, which is unable to reveal the structure and components within the input-output system. This paper aims to overcome this problem by a systematic examination and measuring the resource efficiency, socio-economic efficiency, and environmental efficiency of separate subsystems using the Super-DEA model. The overall efficiency of 30 Chinese provinces from 2000 to 2015 is analyzed, along with each subsystem’s efficiency. The results show: (i) The overall input-output efficiency, resource efficiency, and socio-economic efficiency of the eastern region are relatively high. The efficiency of the northeastern region has performed poorly. Although the efficiency of the central and western regions is not high, their resource efficiency and socio-economic efficiency have risen in the last decade; (ii) Environmental efficiencies are markedly lower than the levels of the other two subsystems. Most western and northeastern provinces increased in rank, while most eastern and central provinces fell. (iii) Provinces can be divided into three categories, such as resource, socio-economic, and environmental efficiency-constrained provinces. Finally, we discuss the reasons driving the spatiotemporal pattern of China’s input-output efficiency and improvement policies.

Float Glass Production Line Cleaner Production Opportunities Analysis

2013 ◽  
Vol 726-731 ◽  
pp. 3180-3184
Author(s):  
Shao Hua Ling ◽  
Chang Yong Jing ◽  
Xiao Liang Li
Keyword(s):  
Production Process ◽  
Production Line ◽  
Material Balance ◽  
Glass Production ◽  
Float Glass ◽  
Cleaner Production ◽  
Pollution Reduction ◽  
Clean Production ◽  
Starting Point ◽  
A Company

Float glass production line of a company, for example, cleaner production audit analysis. For glass production process, the the process sewage node and pollutants governance status quo, analysis of the clean production levels of the glass production process on the basis of material balance, and found the opportunity of clean production, float glass production, energy conservation, energy, pollution reduction and efficiency as a starting point, the glass production process cleaner production.

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