Assessing the Environmental-Hazard Potential for Life Cycle Assessment,Eco-Efficiency and SEEbalance (8 pp)

Intention, Goal, Scope, Background BASF has developed the eco-efficiency analysis tool to address not only strategic issues but also issues posed by the marketplace, politics and research. The goal was to develop a tool for supporting decision-making processes, which is useful for many of applications in the Chemical and other industries. A part of the eco-efficiency analysis involves the evaluation of the toxicity and the eco-toxicity potential. Objectives Many life cycle analyses do not include an assessment of the toxicity potential nor the eco-toxicity potential. However, in order to arrive at a comprehensive assessment of products and processes, it is often the eco-toxicity potential, which constitutes an important factor with regard to the evaluation of sustainability. The cradle-to-grave approach is also important for this calculation and will be done based on a database that will be discussed also in this paper. Methods The method used for the determination of the eco-toxicity potential follows the basic rules of the European Union Risk Ranking System (EURAM). The other criteria of the ecological fingerprint are combined with the economical results in the eco-efficiency portfolio. Results and Discussion The results of the studies are shown in a simple diagram, the eco-efficiency portfolio. Therefore ecological data are summarized in a special manner as described previously. It has been shown that the weighting factors, which are used in our method, have a negligible impact on the results. In most cases, the input data have the dominant impact on the results of the study. The eco-toxicity assessment will be a part of the ecological calculation. Because of the cradle-to-grave approach, substances of the whole life cycle can be identified that might have a toxic impact to the environment. The results can be used for optimization of the process. Conclusions The new calculation model allows the assessment of eco-toxicological substances in an appropriate and easy way. In most of the cases the data from a European safety data sheet are sufficient for the calculation. The normalized data can be incorporated very easily in the ecological fingerprint and in the drawing of the eco-efficiency portfolio. Recommendations and Outlook LCA in combination with the evaluation of the eco-toxicity potential will for reasons of optimizing for least impact become more important in certain cases. Especially in those systems where water emissions are likely, the use of the evaluation system in the eco-efficiency analysis is recommended. This new methodology allows the calculation of eco-toxicity potentials in a short time with a small set of input information. The analytical eco-efficiency tool helps in implementing more sustainable processes and products in the future.     

基于生命周期方法的生活垃圾资源化利用系统生态效率分析

我国生活垃圾产量大但处理能力不足,产生多种环境危害,对其资源化利用能够缓解环境压力并回收资源。为探讨生活垃圾资源化利用策略,综合生命周期评价与生命周期成本分析方法,建立生态效率模型。以天津市为例,分析和比较焚烧发电、卫生填埋-填埋气发电、与堆肥+卫生填埋3种典型生活垃圾资源化利用情景的生态效率。结果表明,堆肥+卫生填埋情景具有潜在最优生态效率;全球变暖对总环境影响贡献最大,而投资成本对经济影响贡献最大。考虑天津市生活垃圾管理现状,建议鼓励发展生活垃圾干湿组分分离及厨余垃圾堆肥的资源化利用策略。     

基于混合生命周期评价的生活垃圾处理系统生态效率分析

基于混合生命周期评价(Hybrid life cycle assessment,HLCA)提出一种改进生态效率模型,系统评价卫生填埋、卫生填埋⁃填埋气利用、焚烧发电、堆肥+卫生填埋和堆肥+焚烧发电5种我国典型生活垃圾处理情景的生态效率,并探究可持续性包含的环境、经济和社会多维权衡关系。结果表明,具有最大生态效率的生活垃圾处理情景因可持续性维度选取不同而异,如考虑人体健康损害影响,焚烧发电情景具有最大经济生态效率,而卫生填埋⁃填埋气利用情景具有最大社会生态效率。生活垃圾处理系统的可持续性评价维度之间具有显著的权衡关系,忽略某些影响类型可能带来问题转移。5种生活垃圾处理情景的环境影响各异,非焚烧情景气候变化影响和焚烧情景人体毒性影响突出。机器设备和燃料使用对资源消耗影响贡献最大,而生活垃圾处理过程对经济效益和其他环境影响贡献最大。本文提出的改进生态效率模型可以定量评价生活垃圾管理系统生态效率及权衡关系,为有效制定生活垃圾管理政策提供全面的信息支持。     

Eco-efficiency

Goal, Scope and Background The eco-efficiency analysis and portfolio is a powerful decision support tool for various strategic and marketing issues. Since its original academic development, the approach has been refined during the last decade and applied to a multitude of projects. BASF, as possibly the most prominent company using and developing this tool, has applied the eco-efficiency approach to more than 300 projects in the last 7 years. One of the greatest difficulties is to cover both dimensions of eco-efficiency (costs or value added and environmental impact) in a comparable manner. This is particularly a challenge for the eco-efficiency analyses of products. Methods In this publication, an important approach and field of application dealing with product decisions based on the combination of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA) is described in detail. Special emphasis is put on the quantitative assessment of the relation of costs and environmental impacts. In conventional LCA an assessment of environmental impact categories is often made by normalization with inhabitant equivalents. This is necessary to be able to compare the different environmental impact categories, because of each different unit. For the proposed eco-efficiency analysis, the costs of products or processes are also normalized with adapted gross domestic product figures. Results and Discussion The ratio between normalized environmental impact categories and normalized costs (R_E,C) is used for the graphical presentation of the results in an eco-efficiency portfolio. For the interpretation of the results of an eco-efficiency analysis, it is important to distinguish ratios R_E,C which are higher than one from ratios lower than one. In the first case, the environmental impact is higher than the cost impact, while the inverse is true in the second case. This is very important for defining which kind of improvement is needed and defining strategic management decisions. The paper shows a statistical evaluation of the R_E,C factor based on the results of different eco-efficiency analyses made by BASF. For industries based on large material flows (e.g. chemicals, steel, metals, agriculture), the R_E,C factor is typically higher than one. Conclusions and Recommendations This contribution shows that LCC and LCA may be combined in a way that they mirror the concept of eco-efficiency. LCAs that do not consider LCC may be of very limited use for company management. For that very reason, corporations should install a data management system that ensures equal information on both sides of the eco-efficiency coin.     

中国农业生态效率评价方法与实证——基于非期望产出的SBM模型分析

生态效率是衡量经济与资源环境协调发展的重要指标.基于将农业面源污染作为非期望产出的考量,在对传统DEA模型进行修正的基础上,采用非径向、非角度的SBM模型对中国30个省份的农业生态效率进行了测算,并给出了农业生态效率的改善途径.研究结果表明:1998-2009年中国农业生态效率虽然呈现缓慢上升态势,但整体仍处于较低水平,除北京、上海、海南、重庆外,其余省市都需要改变投入和产出来优化农业生态效率;资源的过度消耗和环境污染物的过量排放是农业生态效率损失的主要原因.提高资源利用效率、降低资源消耗量和环境污染物的排放量是农业生态效率改善的重要途径.     

基于碳排放核算的中国区域旅游业生态效率测度及比较研究

旅游业作为国民经济发展的战略性支柱产业在区域发展中具有重要作用。借鉴生态效率的基本思想,考虑区域能源消费结构差异,使用自下而上的方法将旅游交通、旅游住宿与游憩活动碳排放进行加总估算出2000—2013年中国旅游业碳排放量;接着运用单一比值法计算出2000—2013年中国及各地区旅游业生态效率值,利用变异系数、莫兰指数对测度结果进行分析并与可持续发展生态效率值进行比较。研究结果表明:(1)2000—2013年,中国旅游业碳排放量不断增加,从2000年的1202.71万t增加到2013年的4151.57万t。旅游业部门之间碳排放量差异较大,尤其是旅游交通部门占到旅游业碳排放量的90%左右;(2)得益于2000—2013年旅游业发展的促进政策,中国及各地区旅游业生态效率总体上呈现不断改善的趋势,中国旅游业生态效率由2000年0.1193 kgCO_2-e/$下降到0.0309 kgCO_2-e/$。(3)时间维度上,中国旅游业生态效率的区域不平衡问题仍然存在,相比于2000年旅游业生态效率变异系数0.7114,2013年的变异系数反而增加到0.7483;空间维度上,各地区旅游业生态效率聚集模式发生了明显变化,莫兰指数由0.3036减少到0.0278。(4)通过将测度结果进行比较,中国旅游业自2000年开始进入可持续发展阶段,中国旅游业的整体可持续水平要优于其他产业,各地区的旅游业在2010年全部进入可持续发展状态。最后,对结果进行了讨论并提出旅游业生态效率的优化应从旅游收入增加与旅游业减排两方面进行。     

Assessment of toxicological risks for life cycle assessment and eco-efficiency analysis

Intention, Goal, Scope, Background  

BASF has developed the tool of eco-efficiency analysis [1] to address not only environmental issues, but also issues posed by the marketplace, politics, product strategy and research. It is based on assessing environmental behaviour, environmental impact, possible effects on human health and ecosystems, and the costs of products and processes from the cradle to the grave. The goal of eco-efficiency analysis is to quantify the sustainability of products and processes.     

Production of fine and speciality chemicals: procedure for the estimation of LCIs

Goal, Scope, Background  To improve the environmental performance of chemical products or services, especially via comparisons of chemical products, LCA is a suitable evaluation method. However, no procedure to obtain comprehensive LCI-data on the production of fine and speciality chemicals is available to date, and information on such production processes is scarce. Thus, a procedure was developed for the estimation of LCIs of chemical production process-steps, which relies on only a small amount of input data. Methods  A generic input-output scheme of chemical production process-steps was set up, and equations to calculate inputs and outputs were established. For most parameters in the resulting estimation procedure, default values were derived from on-site data on chemical production processes and from heuristics. Uncertainties in the estimated default values were reflected as best-case and worst-case scenarios. The procedure was applied to a case study comparing the production of two active ingredients used for crop protection. Verification and a sensitivity analysis were carried out. Results and Discussion  It was found that the impacts from the mass and energy flows estimated by the procedure represent a significant share of the impacts assessed in the case study. In a verification, LCI-data from existing processes yielded results within the range of the estimated best-case and worst-case scenarios. Note that verification data could not be obtained for all process steps. From the verification results, it was inferred that mass and energy flows of existing processes for the production of fine and speciality chemicals correspond more frequently to the estimated best-case than to the worst-case scenario. In the sensitivity analysis, solvent demand was found to be the most crucial parameter in the environmental performance of the chemical production processes assessed. Conclusion  Mass and energy flows in LCIs of production processes for fine and speciality chemicals should not be neglected, even if only little information on a process is available. The estimation procedure described here helps to overcome lacking information in a transparent, consistent way. Recommendations and Outlook  Additional verifications and a more detailed estimation of the default parameters are desirable to learn more about the accuracy of the estimation procedure. The procedure should also be applied to case studies to gain insight into the usefulness of the estimation results in different decision-making contexts.     

Life cycle considerations of the flue gas desulphurization system at a lignite-fired power plant in Thailand

Goal, Scope and Background  The Flue Gas Desulphurization (FGD) system has been installed at the biggest lignite-fired power generation plant in Thailand to reduce the large amount of SO₂ emission. In order to understand the costs and benefits, both in ecological and economic terms, the lignite-fired plant was studied both before and after the installation of the FGD system. The focus of this study is to consider not only the Life Cycle Assessment (LCA) outcome but also the Life Cycle Costing (LCC) factors. The results can provide valuable information when selecting appropriate technologies to minimize the negative impact that lignite-fired power plants have on the environment. Methods  The Life Cycle Assessment - Numerical Eco-load Total Standardization (LCA-NETS) system was used to evaluate the impact on the environment of both the lignite-fired plant and the FGD system. Life Cycle Costing (LCC) was used to provide a comparison between alternative before and after installation of FGD. LCC, a powerful analytical tool, examines the total cost, in net present value terms, of a FGD system over its entire service lifetime. Results and Discussion  The results of the study are shown in the eco-load values over the entire life cycle of the lignite-fired plant. Comparative models of the power plant, before and after the installation of the FGD system, are evaluated using the LCA-NETS system. The results indicate that the installation of the FGD system can reduce the acidification problem associated with lignite-fired plants by approximately 97%. The LCC estimation shows the major costs of the FGD system: capital investment, operating and maintenance, and miscellaneous costs. The LCC provides the decision-making information when considering the cost of the FGD system in terms of protecting the environment. Conclusion and Outlook  LCA is an important decision-making tool for environmental policies, especially with regard to the selection of pollution control equipment for lignite-fired plants. Green coal technologies and strategies to reduce the negative impact on the environment are essential to produce more environmentally-friendly power plants with a sustainable future.     

Integrated Environmental and Economic Assessment of Products and Processes

The eco-efficiency analysis method developed and used by the Öko-Institut analyzes different alternatives that fulfill a defined consumer need, from an environmental as well as an economic perspective.
Like life-cycle assessment (LCA), eco-efficiency analysis makes possible the setting of priorities in purchasing decisions or can be used to show optimization potentials in product development processes.
Eco-efficiency analysis builds upon two methods: LCA, according to ISO 14040 ff. (to assess the environmental aspects of products and processes), and life-cycle costing. Life-cycle costing results in a single figure—the total costs of ownership to one or several actors. The environmental impacts can be evaluated and aggregated as a single score or the impact category indicator results can be kept separate. In either case two single scores can be compared: the total environmental burden or the impact category indicator results, and the total costs of ownership of the alternatives under consideration.
The results can then be plotted in two-dimensional graphs that show the effectiveness of certain measures in environmental and economic terms. The efficiency is expressed as a numerical ratio of environmental savings to difference in costs.
Together with furnishing more detailed results and a discussion of additional benefits or potential barriers, eco-efficiency analysis broadens the basis for decision-making processes.     

Integration of life cycle assessment in the environmental information system

Background, aim, and scope  As the sustainability improvement becomes an essential business task of industry, a number of companies are adopting IT-based environmental information systems (EIS). Life cycle assessment (LCA), a tool to improve environmental friendliness of a product, can also be systemized as a part of the EIS. This paper presents a case of an environmental information system which is integrated with online LCA tool to produce sets of hybrid life cycle inventory and examine its usefulness in the field application of the environmental management. Main features  Samsung SDI Ltd., the producer of display panels, has launched an EIS called Sustainability Management Initiative System (SMIS). The system comprised modules of functions such as environmental management system (EMS), green procurement (GP), customer relation (e-VOC), eco-design, and LCA. The LCA module adopted the hybrid LCA methodology in the sense that it combines process LCA for the site processes and input–output (IO) LCA for upstream processes to produce cradle-to-gate LCA results. LCA results from the module are compared with results of other LCA studies made by the application of different methodologies. The advantages and application of the LCA system are also discussed in light of the electronics industry. Results and discussion  LCA can play a vital role in sustainability management by finding environmental burden of products in their life cycle. It is especially true in the case of the electronics industry, since the electronic products have some critical public concerns in the use and end-of-life phase. SMIS shows a method for hybrid LCA through online data communication with EMS and GP module. The integration of IT-based hybrid LCA in environmental information system was set to begin in January 2006. The advantage of the comparing and regular monitoring of the LCA value is that it improves the system completeness and increases the reliability of LCA. By comparing the hybrid LCA and process LCA in the cradle-to-gate stage, the gap between both methods of the 42-in. standard definition plasma display panel (PDP) ranges from 1% (acidification impact category) to −282% (abiotic resource depletion impact category), with an average gap of 68.63%. The gaps of the impact categories of acidification (AP), eutrophication (EP), and global warming (GWP) are relatively low (less than 10%). In the result of the comparative analysis, the strength of correlation of three impact categories (AP, EP, GWP) shows that it is reliable to use the hybrid LCA when assessing the environmental impacts of the PDP module. Hybrid LCA has its own risk on data accuracy. However, the risk is affordable when it comes to the comparative LCA among different models of similar product line of a company. In the results of 2 years of monitoring of 42-in. Standard definition PDP, the hybrid LCA score has been decreased by 30%. The system also efficiently shortens man-days for LCA study per product. This fact can facilitate the eco-design of the products and can give quick response to the customer's inquiry on the product's eco-profile. Even though there is the necessity for improvement of process data currently available, the hybrid LCA provides insight into the assessments of the eco-efficiency of the manufacturing process and the environmental impacts of a product. Conclusions and recommendations  As the environmental concerns of the industries increase, the need for environmental data management also increases. LCA shall be a core part of the environmental information system by which the environmental performances of products can be controlled. Hybrid type of LCA is effective in controlling the usual eco-profile of the products in a company. For an industry, in particular electronics, which imports a broad band of raw material and parts, hybrid LCA is more practicable than the classic LCA. Continuous efforts are needed to align input data and keep conformity, which reduces data uncertainty of the system.     

国内外生态效率核算方法及其应用研究述评

生态效率由于具有突出的定量化分析优势,在可持续发展的评价与量化分析中起着重要作用,且在全世界范围内得到广泛推广和应用。参阅近十年国内外相关文献的基础上,系统总结了生态效率的核算方法及其在不同尺度的应用,侧重于国内外对比分析,研究表明:(1)国外已从简单评价转向生态效率驱动机制的探究。(2)对于生态效率测算,国外开始借助会计、金融以及管理学中的理论和模型对现有的经济/环境比值法以及模型法进行改良和修正;我国则侧重于生态效率评价指标体系构建以及生产率模型的应用。(3)在应用层次上,国外侧重于企业及其产品系统的生态效率分析,并且开始将生态效率同产品的生态设计、关键问题辨识、系统开发等融合起来,而区域等大尺度的研究则处于尝试阶段;我国在企业尺度的研究甚少,主要集中在行业、生态园区、城市及区域等大尺度的生态效率评价。(4)国外开始将生态效率同全球生态问题(全球变暖、生物多样性、食物安全)等结合起来;而我国生态效率研究侧重于污染物分析。(5)由于社会维度定量分析难度较大,目前绝大部分研究都很少涉及。最后,文章提出:我国应加大生态效率的宣传与推广,推动生态效率在微观(企业)以及宏观(全球生态问题)上的研究和应用;借助经济、管理、会计等学科的理论和方法完善生态效率核算方法体系;综合利用全排列多边形图示法,反映社会-经济-自然复合生态系统的各个方面。     

绿色发展背景下区域旅游生态效率影响因素——以西部地区为例

旅游生态效率是评估区域绿色全要素生产率和可持续发展水平的绩效依据。基于西部各省（市、自治区）2000-2017年的面板数据，用"自下而上"法测算西部地区旅游业碳排放量并运用比值法计算旅游生态效率，分析旅游生态效率的时空演变特征及影响因素。首先构建由旅游生态效率、规模效应、结构效应、技术效应共同组成的PVAR模型，探究3种效应对旅游生态效率的影响。然后在考虑各地区能源消费结构差异的基础上构建面板门槛模型，对旅游业发展水平与旅游生态效率的非线性关系进行实证检验。研究结果表明：（1）西部地区旅游生态效率自2000年西部大开发战略实施以来呈逐步提高的趋势，绿色发展水平持续提高。（2）旅游生态效率受自身滞后因素以及技术效应因素的影响较大，游客规模的扩大、产业结构优化以及技术水平的提高均有利于旅游生态效率的提高。（3）旅游业发展水平对旅游生态效率的影响存在门槛效应，经济发展水平、规模效应、结构效应对旅游生态效率有显著的正向作用，城镇化对旅游生态效率有显著的负向作用。最后根据实证分析的结果，提出西部地区实现旅游业绿色、低碳发展的相关对策。     

我国农业生态效率的时空差异

农业生态效率是按照定量化的方式反映区域农业发展可持续发展水平,可以作为决策者制定政策的一个抓手。利用基于机会成本的经济核算方法对我国2003—2010年的农业生态效率进行总体分析与评价,并利用回归模型分析农业生态效率的影响因素。结果表明:我国农业生态效率总体水平比较低,但呈逐年好转的趋势,其中劳动力资源和COD环境要素在不同时期对生态价值增长起到关键性作用;农业生态效率空间分布特征显著,秦岭-淮河以北的省市区和传统粮食主产区的农业生态效率相对较低;区域资源环境禀赋条件有助于农业生态效率的提高,但是农资投入和农业政策支持与农业生态效率呈显著负相关,未来进一步提升农业生产资源与环境要素合理配置是保障农业生产可持续的必然选择。     

中原城市群生态效率时空演变及影响因素

提高生态效率是推进生态文明建设和绿色发展的重要途径。基于2003—2016年中原城市群29个城市的面板数据,运用Super-SBM(超效率SBM模型, Super slacks-based model)模型对生态效率进行测算,并综合运用GIS技术与空间滞后模型,分析了生态效率的时空演变及空间关联特征,研究了生态效率变动的影响因素。结果表明:(1)2003—2016年,中原城市群生态效率总体上呈"阶梯状"的上升趋势,空间分布存在差异,形成了北部和南部高,中间低的空间格局。(2)中原城市群生态效率呈正向空间自相关,空间集聚趋势逐步增强,冷点区在西北部地区动态变化,东南部地区形成稳定的热点区。(3)中原城市群生态效率存在正向空间溢出效应,经济发展水平和对外开放水平产生显著正向效应,而科技水平产生显著负向效应。     

Comparative LCA of industrial objects

Goal, Scope and Background  This paper is the second part of the publication which is devoted to comparative LCA analysis of the industrial pumps. The previous paper deals with the methodological aspects concerning quality assessment and forms an independent work. This paper uses practically only the methodological suggestions made there. The main aim of the presented study is to make a comparison between the industrial pumps which are based on two different technologies. The Life Cycle Assessment method is used to check whether the differences of the manufacturing processes influence the level of the potential environmental impact during the whole life cycle of the analysed products. Methods  The Life Cycle Assessment is carried out using the Ecoindicator99 method. Additionally, an extensive quality analysis of the LCA study is made (Part I). To make the process of an identification of the data easier and faster, they are assigned to a special data documentation form. To ensure the credibility of the LCA results different methods of interpretation are used. Results and Discussion  The LCA analysis shows clear superiority of the pumps manufactured using modern technology. It seems that this superiority results not only from the differences in the emissions, but also from different characteristics of effectiveness in the usage stage. Thanks to the uncertainty analysis, each LCA result is provided with the range of uncertainty. Conclusions  The LCA results are supported by different techniques of interpretation: the sensitivity-, the contribution-, the comparative-, the discernability- and the uncertainty analysis. There is strong evidence of the superiority of the pumps based on the modern technology. Recommendations and Outlook  The main source of the environmental impact in the case of pumps is the usage stage and the consumption of energy. That is why it should be the main area to improve. The LCA results show that actions taken in the usage stage and energy consumption can lead to a considerable reduction of the environmental impacts.     

Quantitative Ecological Risk Analysis by Evaluating China's Eco-Efficiency and Its Determinants

Industrial production can produce large amounts of harmful by-products, causing serious pollution and ecological risk. In addition, if government regulations are subjected into the industries, huge cost risk will be faced. This article adopts a two-stage slack-based undesirable-output data envelope analysis (DEA) model to measure the eco-efficiency of China. In the first stage, we analyze the eco-efficiency of each province of China, and in the second stage, we employed a truncated bootstrap method to understand the determinants of eco-efficiency. The results indicate that whereas the eco-efficiency of the eastern region was the highest, that of the western region was the lowest. The western region's economy lagged behind that of other regions, and its environment suffered from heavy pollution. It was found that the level of industrialization did not contribute to eco-efficiency. However, promotion of the service industry, investment for the environment, and regional innovation have positive effects on eco-efficiency.     

Life Cycle assessment of bio-ethanol derived from cellulose

Objective, Scope, Background  A comprehensive Life Cycle Assessment was conducted on bio-ethanol produced using a new process that converts cellulosic biomass by enzymatic hydrolysis. Options for sourcing the feedstock either from agricultural and wood waste, or, if the demand for bio-ethanol is sufficient, from cultivation are examined. The main focus of the analysis was to determine its potential for reducing greenhouse gas emissions in a 10% blend of this bio-ethanol with gasoline (E10) as a transportation fuel. Methods  SimaPro 4.0 was used as the analysis tool, which allowed a range of other environmental impacts also to be examined to assess the overall relative performance to gasoline alone. All impacts were assigned to the fuel because of uncertainties in markets for the by-products. This LCA therefore represents a worst case scenario. Results, Conclusion  It is shown that E10 gives an improved environmental performance in some impact categories, including greenhouse gas emissions, but has inferior performances in others. Whether the potential benefits of the bio-ethanol blend to reduce greenhouse gas emissions will be realized is shown to be particularly sensitive to the source of energy used to produce the process steam required to break down the cellulose to produce sugars and to distil the final product. One key area where improvements in environmental performance might be derived is in enzyme production. Recommendations and Outlook  The LCA profile helps to highlight those areas where positive and negative environmental impacts can be expected. Technological innovation can be directed accordingly to preserve the benefits while minimizing the negative impacts as development progresses to commercial scales.     

基于生态效率的江西省循环经济发展模式

循环经济发展模式的研究是当今可持续发展研究及政府相关决策的核心内容,生态效率则是循环经济的合适测度,它是资源能源效率和环境效率的综合表征指标。基于生态效率度量模型和循环经济发展模式的判别模型,以江西省为例,分析其在2000-2010年间循环经济发展模式的变化轨迹。结果表明:(1) 能源消耗与经济发展表现出同步增长的趋势;(2) 各种资源和环境效率均有所上升,其环境效率总体上大于资源效率,按效率增加快慢的排序为:固体废弃物排放效率 > 建设用地效率 > COD排放效率 > 水资源效率 > SO₂排放效率 > 能源效率;(3) 江西省循环经济发展走的是一条由传统线性经济模式到末端治理模式再到循环经济模式的发展道路,符合环境库兹尼茨曲线发展规律,即无害化→减量化→资源化。对研究方法的创新性进行了谨慎的探讨,对区域循环经济发展所应注意的问题提出的建议。     

Life Cycle costing as part of design for environment environmental business cases

Background  In developing products various requirements have to be integrated including functionality, quality, affordability as well as environmental aspects. Often conflicting requirements have to be fulfilled. Therefore, multi-dimensional decision support approaches are necessary. Methods  Here, one approach is to relate the conflicting requirements to each other. Life Cycle Costing (LCC) has the potential to support the trade-off between some environmental targets and overall affordability targets by including all monetary flows along the product life cycle (going beyond the well-known costs of ownership by integrating also long-term use and end-of-life costs). Those solutions can be identified that (a) have the highest efficiencies (where do we get most environmental improvements per Ϊ and (b) have the highest affordability for the customer along the life cycle. Furthermore, on-costs in the design phase can be justified in terms of future savings either for the customer or for the recycling of the products. These represent real business cases for environmental actions. Three types of environmental business cases can be differentiated. Results and Discussion  This paper presents various examples where LCC is integrated into product design. However, there are a number of open issues in the implementation of LCC within real product development including data availability and uncertainty (future costs/ savings), level of discounting, accounting and compensation. Various internal case studies done in the last years showed that already few changes in the costs structure can significantly affect the identi-fied future costs. Recommendation and Outlook  Uncertainties in LCC are higher than in LCA and highest when applied in the stage of product develop-ment, i.e. used to support DfE action. As a consequence, the result-ing figures can only be seen as directional. Therefore, the use of LCC in Design for Environment cannot be recommended without major restrictions in terms of guidance, experience/training. The link-age between LCC and DfE can either be established via (1) experts supporting design teams or (2) as part of a DfE tool. The DfE tool has to include detailed guidance for interpretation, and its application should be based on a solid training for DfE engineers.