Spatial Organization Mechanism of Aircraft Manufacturing

Unquestionably, aircraft industry plays an important part in both economy and security of a nation. However, few of articles have dealt with the spatial development of this industry sector. The purpose of this article is to analyze the dynamics of agglomeration and diffusion of aircraft industry.In a historical view, with some spatial analysis methods, this research discusses the characteristics and patterns of aircraft industry's spatial organization and evolution, globally, nationally and regionally respectively. We find out there is a 'Matthew effect' in aircraft industry of the world, and the spatial evolution of the industry is consistent with the nation's industrialization process. Then, it concludes that the main agglomeration forces consist of capital, talents, technology and cluster's advantages, and the main diffusion forces include comparative advantages, cost and risk sharing, emerging markets, development policy for backward regions and military requirements. All the factors can be divided into market forces making the spatial development of aircraft industry normal and non-market forces making that irregular. In particular, lessons from the USA and France are expected to be conducive to the rise of China's aircraft industry in the future.     

Controversy of International Carbon-motivated Border Tax Adjustment and Its Impact on China’s Manufacturing Industries

Carbon-motivated border tax adjustment (BTA) aims to compensate for the loss of competitiveness of carbon intensive products due to carbon dioxide abatement actions.Based on the analysis of the international background of carbon-motivated BTAs,this paper discusses the fundamental motivation leading to US policy transformation,the potential impacts of the policy on China’s manufacturing industries,and the compatibility of the policy to WTO rules.Carbon-motivated BTAs violate the fundamental principle of the UNFCCC,and potentially conflict with the core WTO principle of non-discrimination reflected in the GATT Articles I and III.However,Article XX of the GATT may be applicable.Thus,the author suggests several measures to alleviate the impacts of carbon-motivated BTAs,and puts forward countermeasures based on carbon consumption per capita.     

Empirical analysis of carbon tariff’s effect on the export structure of China’s manufacturing industry and social welfare based on the GTAP model

In recent years, carbon emissions have gradually evolved from an environment issue into a political and economic one. Carbon tariff has brought about new trade barriers of developed countries, and in order to enhance the industrial competitiveness of developed countries, it will produce unfavorable impact on developing countries. Concentrated on the manufacturing industry, which is the most intensive high-carbon industry in China’s export structure, this article studies the relationship between carbon tariff policy and industry structure of export trade and builds up a relation between climate change and international trade. First, by means of establishing a partial equilibrium model, it applies geometric analysis and mathematical analysis to compute the impact on China’s manufacturing export trade and the consequences of the introduction of the US carbon tariff to China’s manufacturing industry that has already imposed a domestic shipping carbon tax. Furthermore, with the application of the GTAP model, it estimates the overall economic and welfare effects on China’s manufacturing industry if the US and Europe introduce carbon tariff by means of four ways, and then analyzes the influence on China’s manufacturing industry export structure and social welfare as well. The result shows that the introduction of the US carbon import tariff lowers China’s export price and export volume, and the implementation of a domestic carbon tax justifies a higher export price and a lower export volume for China. However, the degree of export reduction is smaller than that under the effect of the US carbon tariff. In the case of developed countries imposing carbon tariff on China’s energy-intensive industries, such as chemical rubber products, oil and coal-processing industry and paper industry, whose export would be reduced, the negative impact on the paper industry is the severest, which will decrease the paper industry’s export ranging from 1.79% to 6.05%, whereas the other industries’ export will increase. Anyhow, it will promote China’s manufacturing industry to adjust the export structure to a certain extent. In addition, it will lead to a decrease in China’s welfare, with a decrease between $2.134 billion and $8.347 billion. Finally, this paper provides information on international coordination, export structure adjustment and green manufacturing adjustment as a reference for the development of China’s manufacturing industry.     

多级厌氧法处理螺旋霉素工业发酵菌渣效果的研究简

通过自主设计的多级厌氧反应器系统来考察半连续处理螺旋霉素工业发酵菌渣的效果。该系统总反应体积为44 L,由4个11 L的升流式厌氧反应罐组成,罐体间采用串联方式连接。121 d的连续运行周期分为3个阶段,各阶段的有机负荷率分别为1.27、1.82和2.73 kg COD/（m³·d）。全过程中主要监测了各级罐体的产气量和螺旋霉素的降解。结果表明,多级厌氧反应器系统启动初期会出现产气不稳定现象,经过2个月的运行之后系统达到稳定状态。在有机负荷达到2.73 kg COD/（m³·d）时,各级罐体仍能稳定运行,总产气的45%集中在1号罐。在系统启动初期,螺旋霉素不能被明显降解。运行约80 d后,整个体系达到了快速降解螺旋霉素的状态,在2.73 kg COD/（m³·d）的有机负荷率下,螺旋霉素降解率达到97%,同时可溶性COD降解率也达到了90%。     

典型非金属矿物制造工艺过程源成分谱特征

鉴于我国缺乏非金属矿物制品工艺过程源成分谱(源谱)现状,采用稀释通道系统于2017年2～6月采集了玻璃制造、陶瓷制造和砖瓦制造共6个非金属矿物制品企业排放的PM_(10)和PM_(2.5)样品,对样品中的50种化学组分进行分析,构建相应的源谱,并对其特征进行研究.结果表明,玻璃制造源谱中以Na元素为主(质量分数介于9. 2%～18. 5%之间),陶瓷制造源谱中以Al、Si、Ca和Fe等地壳元素为主(质量分数在1. 7%～8. 7%之间),耐火砖和页岩砖源谱则是以SO_4~(2-)、NH_4~+等水溶性离子为主,SO_4~(2-)和NH_4~+质量分数分别介于36. 9%～48. 1%和7. 7%～17. 0%之间.不同企业因燃料类型、脱硫脱硝除尘方式不同会对源谱中的化学组分产生影响.源谱之间的分歧系数(CD)显示除页岩砖制造外,其余源谱2种粒径之间均较为相似,同粒径不同源谱间均存在差异,浮法玻璃与药用玻璃之间和2个陶瓷企业之间的CD值相对较小.使用R/U值比较源谱间不同组分的差异识别出Na和As元素可作为玻璃制造的标识组分,陶瓷制造可用Al和Ti来识别,NO_3~-和NH_4~+区分耐火砖,SO_4~(2-)和NH_4~+识别页岩砖.     

变色酸比色法测定甲胺生产废水中甲醇

建立了变色酸比色测定甲胺生产废水中甲醇的方法,确定了最大吸收波长,优化了试验条件。方法在0mg／L-7．00mg／L范围内线性良好,检出限为0．07mg／L,标准溶液测定的RSD≤0．9％,废水样品的加标回收率为98．8％-101％。     

Manufacturing SMEs doing it for themselves: developing,testing and piloting an online sustainability and eco-innovation toolkit for SMEs

ABSTRACT

Public discourse frequently cites the damaging activities of large organisations on global environmental issues, but smaller organisations are rarely, if ever, featured. Small and Medium Enterprises (SMEs) make up 99% of all businesses in the EU, cumulatively causing more industrial pollution and producing more waste than larger businesses. However, large companies are more likely to address sustainability issues than smaller ones. SMEs need help to change. In a collaborative approach, an online sustainability framework was developed to overcome the barriers contributing to the slow uptake in environmental management in SMEs. The views of owner-managers were incorporated throughout the development process. Best practice environmental tools and training were identified, which were designed in an SME-friendly way and made available online. This paper describes the development of the pilot Sustainability and Eco-Innovation (SEco) toolkit, followed by an analysis of its use. This research finds that a self-led toolkit was not enough to nudge SMEs to address environmental issues, despite being approved by owner-managers at each step.     

Green Lean Six Sigma implementation framework: a case of reducing graphite and dust pollution

ABSTRACT

Modern organisations are in search of initiatives which will enable them to be sustainable as well as gain a competitive advantage. Lean, Six Sigma and Green initiatives are some of the widely used tools which aid the organisation to be sustainable. Recent studies have suggested that the integration of Green and Lean Six Sigma (LSS) will create a powerful methodology and help organisations to be sustainable. Yet, many organisations have found it difficult due to the lack of a generic implementation framework, which can be used for any processes and cultural context. The purpose of this study is to answer the research question: how to implement a sustainable Green LSS initiative in the organisation. Through a critical analysis of previous literature, an implementation framework is developed and practically implemented through a case study to reduce the graphite and dust pollution in a mine in India. Within case analysis, it is conducted to develop propositions, future research directions and managerial implications. This is a first study to develop and practically test a generic implementation Green LSS framework.     

Effects of fishing rope strength on the severity of large whale entanglements

Entanglement in fixed fishing gear affects whales worldwide. In the United States, deaths of North Atlantic right (Eubalaena glacialis) and humpback whales (Megaptera novaeangliae) have exceeded management limits for decades. We examined live and dead whales entangled in fishing gear along the U.S. East Coast and the Canadian Maritimes from 1994 to 2010. We recorded whale species, age, and injury severity and determined rope polymer type, breaking strength, and diameter of the fishing gear. For the 132 retrieved ropes from 70 cases, tested breaking strength range was 0.80–39.63 kN (kiloNewtons) and the mean was 11.64 kN (SD 8.29), which is 26% lower than strength at manufacture (range 2.89–53.38 kN, mean = 15.70 kN [9.89]). Median rope diameter was 9.5 mm. Right and humpback whales were found in ropes with significantly stronger breaking strengths at time of manufacture than minke whales (Balaenoptera acuturostrata) (19.30, 17.13, and 10.47 mean kN, respectively). Adult right whales were found in stronger ropes (mean 34.09 kN) than juvenile right whales (mean 15.33 kN) and than all humpback whale age classes (mean 17.37 kN). For right whales, severity of injuries increased since the mid 1980s, possibly due to changes in rope manufacturing in the mid 1990s that resulted in production of stronger ropes at the same diameter. Our results suggest that broad adoption of ropes with breaking strengths of ≤7.56 kN (≤1700 lbsf) could reduce the number of life‐threatening entanglements for large whales by at least 72%, and yet could provide sufficient strength to withstand the routine forces involved in many fishing operations. A reduction of this magnitude would achieve nearly all the mitigation legally required for U.S. stocks of North Atlantic right and humpback whales. Ropes with reduced breaking strength should be developed and tested to determine the feasibility of their use in a variety of fisheries.     

Dynamic stock and end-of-life flow identification based on the internal cycle model and mean-age monitoring

Planning of end-of-life (EoL) product take-back systems and sizing of dismantling and recycling centers, entails the EoL flow (EoLF) that originates from the product dynamic stock (DS). Several uncertain factors (economic, technological, health, social and environmental) render both the EoLF and the remaining stock uncertain. Early losses of products during use due to biodegradation, wear and uncertain factors such as withdrawals and exports of used, may diminish the stock and the EoLF. Life expectancy prediction methods are static, ignoring early losses and inapt under dynamic conditions. Existing dynamic methods, either consider a single uncertain factor (e.g. GDP) approximately or heuristically modelled and ignore other factors that may become dominant, or assume cognizance of DS and of the center axis of the EoL exit distribution that are unknown for most products. As a result, reliable dynamic EoLF prediction for both durables and consumer end-products is still challenging. The present work develops an identification method for estimating the early loss and DS and predicting the dynamic EoLF, based on available input data (production + net imports) and on sampled measurements of the stock mean-age and the EoLF mean-age. The mean ages are scaled quantities, slowly varying, even under dynamic conditions and can be reliably determined, even from small size and/or frequent samples. The method identifies the early loss sequence, as well as the center axis and spread of the EoL exit distribution, which are subsequently used to determine the DS and EoLF profiles, enabling consistent and reliable predictions.