Sustainable Sourcing of Global Agricultural Raw Materials: Assessing Gaps in Key Impact and Vulnerability Issues and Indicators

Understanding how to source agricultural raw materials sustainably is challenging in today’s globalized food system given the variety of issues to be considered and the multitude of suggested indicators for representing these issues. Furthermore, stakeholders in the global food system both impact these issues and are themselves vulnerable to these issues, an important duality that is often implied but not explicitly described. The attention given to these issues and conceptual frameworks varies greatly—depending largely on the stakeholder perspective—as does the set of indicators developed to measure them. To better structure these complex relationships and assess any gaps, we collate a comprehensive list of sustainability issues and a database of sustainability indicators to represent them. To assure a breadth of inclusion, the issues are pulled from the following three perspectives: major global sustainability assessments, sustainability communications from global food companies, and conceptual frameworks of sustainable livelihoods from academic publications. These terms are integrated across perspectives using a common vocabulary, classified by their relevance to impacts and vulnerabilities, and categorized into groups by economic, environmental, physical, human, social, and political characteristics. These issues are then associated with over 2,000 sustainability indicators gathered from existing sources. A gap analysis is then performed to determine if particular issues and issue groups are over or underrepresented. This process results in 44 “integrated” issues—24 impact issues and 36 vulnerability issues —that are composed of 318 “component” issues. The gap analysis shows that although every integrated issue is mentioned at least 40% of the time across perspectives, no issue is mentioned more than 70% of the time. A few issues infrequently mentioned across perspectives also have relatively few indicators available to fully represent them. Issues in the impact framework generally have fewer gaps than those in the vulnerability framework.     

Development of composite sustainability performance index for steel industry

The steel companies are becoming increasingly aware about the sustainability challenges. In order to become a responsible corporate citizen, the industry has responded to these challenges through adoption of pillars of sustainability. The industry has made the beginning with identification of sustainability indicators. The indicators have been developed specifically for steel industry. Generally, it is quite difficult to evaluate the performance of company on the basis of large number of sustainability indicators. Integration of key sustainability indicators is quite essential for decision-making. Composite indicators are an innovative approach to evaluate sustainable performance. This paper presents a method for development of composite sustainability performance index (CSPI) that addresses the sustainable performance of steel industries along all the three pillars of sustainability—economic, environmental and societal. Organizational governance and technical aspects have also been considered fourth and fifth dimensions of sustainability.The objective of this paper is to introduce sustainability and to present a conceptual decision model, using analytical hierarchy process (AHP) to assist in evaluating the impact of an organization's sustainability performance. AHP has been used to determine the weights at various levels. Sub-indices have been evaluated and aggregated to form CSPI. The effectiveness of the proposed model is evaluated in a case study for a major steel company in India.     

Sustainable development of global supply chains—part 1: sustainability optimization framework

In global industry supply chains, environmental sustainability optimization addresses the overall consumption of resources and energy, the reduction of carbon emissions and generated waste to name a few. In this paper, we propose a holistic sustainability optimization framework for strategic network design of industry supply chains under consideration of economic, social as well as ecologic objectives. The framework is flexible to incorporate multiple sustainability indicators, alternative sustainability optimization strategies as well as a variety of internal and external industry-specific factors which impact the sustainability of the entire industry supply chain in the long-term. The core of the framework is an end-to-end closed-loop value chain model consisting of process, transport and product-in-use modules. For the first time, the product-in-use impact (“use” vs. “make”) is integrated in one network design approach. In addition, the model fully closes the loop from sourcing of raw materials via manufacturing towards reverse value chain steps such as disposal and recycling. Finally, we propose the minimize-time-to-sustainability approach as new optimization strategy for long-term network design problems focusing on minimizing the time, industry supply chain structures need to transform into sustainability steady states for all defined sustainability indicators such as CO₂e emissions, costs or social indicators based on defined target values. In part 2 of this paper the application of the optimization framework to the European automotive industry is shown.     

Emergy-based indicators of regional environmental sustainability: A case study in Shanwei,Guangdong, China

Understanding which factors mainly affect the environmental sustainability of a Region is a very crucial concern for many Chinese planners and policy-makers. In this study, the emergy accounting method is applied to the production and consumption activities of the city of Shanwei, a seaside urban area in Guangdong region, China. The emergy method provides a comprehensive assessment of a system, by generating a consistent set of indicators capable to capture the dynamics of the system as a whole and its efficiency in converting resources into an economic product and welfare. At the same time, the approach is capable to provide details about a system's performance over time, its use of renewable versus nonrenewables sources, local versus imported, concentrated versus dispersed and finally labor intensive versus fuel intensive processes. The main local renewable and nonrenewable emergy flows supporting the investigated area were included in the accounting, together with the flows of imported energy, goods, machinery, labor and services. Coal plays a crucial role for electricity generation, industrial uses, but also gasoline and diesel for transport affect the overall sustainability to a non-negligible extent. An Emergy Sustainability Indicator (ESI) of the local economic and social system is calculated and compared with the average value of the Chinese economy, based on the assumption that a process or system is unsustainable if it contributes to lower the overall sustainability of the region or country. This is quantified by the requirement that always must be ESI_local ≧ ESI_country. Results confirm that the most crucial factor for this region sustainability is the use of coal as a non-renewable and imported energy source. The calculated emergy indicators translate into a set-aside buffer land demand capable to mitigate, dilute, and uptake the environmental impact of human-dominated activities. Unfortunately, such buffer land demand is much higher than the land actually available. As a result, both the ESI-based sustainability equation as well as the lack of support land make the city's production and consumption patterns unsustainable and call for different lifestyles and environmental policies.     

Empirical evaluation of sustainability of divergent farms in the dryland farming systems of India

The present study argues that there are heterogeneous farm systems within the drylands and each farm system is unique in terms of its livelihood asset and agricultural practice, and therefore in sustainability. Our method is based on household survey data collected from 500 farmers in Anantapur and Kurnool Districts, in Andhra Pradesh State of India, in 2013. We carried out principal component analysis (PCA) with subsequent hierarchical clustering methods to build farm typologies. To evaluate sustainability across these farm typologies, we adopted a framework consisting of economic, social and environmental sustainability pillars and associated indicators. We normalized values of target indicators and employed normative approach to assign different weights to these indicators. Composite sustainability indices (CSI) were then estimated by means of weighted sum of indicators, aggregated and integrated into farm typologies. The results suggested that there were five distinct farm typologies representing farming systems in the study area. The majority of farms (>70%) in the study area are small and extensive (typology 1); marginal and off farm based (typology 2). About 20% of the farms are irrigation based and intensive (typology 3); small and medium and off farm based (typology 4) and irrigation based semi-intensive (typology 5). There was apparent variability among farm typologies in terms of farm structure and functions and composite sustainability indices. Farm typologies 3 and 5 showed significantly higher performances for the social and economic indices, while typologies 2 and 4 had relatively stronger values for environment. These discrepancies support the relevance of integrated farm typology- and CSI approaches in assessing system sustainability and targeting technologies. Universally, for all farm typologies, composite sustainability indices for economic pillar was significantly lower than the social and environment pillars. More than 90% of farmers were in economically less-sustainable class. The correlations between sustainability indices for economic and environment were typology specific. It was strong and positive when aggregated for the whole study systems [all samples (r = 0.183; P < 0.001)] and for agriculture dependent farm typologies (e.g. typologies 1 and 3). This suggests the need to elevate farms economic performance and capacitate them to invest in the environment. These results provide information for policy makers to plan farm typology–context technological interventions and also create baseline information to evaluate sustainability performance in terms of progress made over time.     

A sensitivity analysis to methodological variation in indicator-based urban sustainability assessment: a Quebec case study

Methodological factors are often acknowledged for their impact on the urban sustainability assessment outcomes. The significance of this impact, however, divides those who assign it great importance; to the point of compromising any attempt at sustainability benchmarking using indicators, from those who regard it as having a relatively limited role. In this paper, we aim to contribute to this debate by assessing how methodological choices could influence the variation in the outcomes of indicator-based urban sustainability benchmarking. The paper starts with a literature review outlining the evolution of the approaches adopted since the pioneering experiences in the ‘90s to show a convergence in indicators and data over time. Subsequently, by using the data of the 25 most populous cities in Quebec, we empirically analyse the sensitivity of the cities’ sustainability scores to 18 combinations of estimation techniques, and observe consistency within the outcomes while maintaining general patterns regardless of the approach used. The results suggest that methodological choices play a limited role in the urban sustainability assessment outcomes. Thus, other determinants beyond the evaluation methods are most likely involved and therefore should be a major focus in future research agendas.     

国家公园旅游可持续性管理评估指标体系——以西藏色林错-普若岗日冰川国家公园潜在建设区为例

当前,国内外对于国家公园旅游可持续性的定义及其评估指标尚未形成共识,已有的部分指标存在可操作性较弱、管理成本较高等问题,无法直接应用于中国国家公园旅游可持续性的管理与评估。从三条路径构建国家公园旅游可持续性管理评估指标体系：以实际需求为导向,分析国家公园所在区域对旅游可持续性管理评估指标的需求;以国际共识为导向,检验《全球可持续旅游目的地标准》在国家公园的适用性;以实践为导向,梳理世界主要国家及地区国家公园旅游可持续性的管理重点。以色林错-普若岗日冰川国家公园（简称"色-普国家公园"）潜在建设区为例,建立国家公园旅游可持续性管理评估指标体系。从经济、社会、文化、生态环境等方面明确了色-普国家公园潜在建设区对管理评估指标体系的需求。经过适用性判定,识别在色-普国家公园潜在建设区具有较强适用性的可持续旅游目的地评估指标。通过频次统计,从经济、社会、文化、生态环境、制度建设等方面遴选世界主要国家及地区国家公园旅游可持续性的重点管理指标。所建立的色-普国家公园潜在建设区旅游可持续性管理评估指标体系包括5个一级指标,15个二级指标,36个三级指标。在此基础上,建议逐步建立健全监测与统计体系,为管理评估指标体系的应用提供支撑。     

An interdisciplinary study on indicators: A comparative review of quality-of-life,macroeconomic, environmental,welfare and sustainability indicators

It is generally recognised that indicator-based research forms a substantial part both of the everyday practice and of the current theoretical pursuits in an extensive set of different scientific fields that relate to the socio-economic and the environmental sphere. However, the lack of an endogenous indicator's theory hinders the enhancement of indicator's research into an autonomous scientific field and subdues the indicators study to the broader ecological, social, or economic context. Thus, scientists are often bounded to the study of indicators within their specialisation area, as evidenced by the very limited number of interdisciplinary studies on the use of indicators that have been published. Based on this deficiency of the current literature, the paper elaborates on the use of indicators in the socio-economic and the environmental area, focusing on fields in which indicators are essential to their practice. Namely, the paper reviews quality-of-life, macroeconomic, environmental, welfare and sustainability indicators in order to detect similarities and differences, pertain to their practice and to the theoretical frameworks in which indicators are utilised. The study concludes that quality-of-life, welfare and sustainability indicators are supported by weak theoretical foundations, as a result to the choice of the respective fields to exploit the possible benefits of an empirical interdisciplinary perspective, a fact that leads the use of indicators to methodological inconsistencies. In contrast, macroeconomic and environmental indicators are supported by a coherent theoretical body, which is reflected in their well-organised structure and leads to their sound practice. Last but not least, the study suggests that the way the aforementioned two fields utilise indicators can provide useful guidance to the formation of future objectives in the quality-of-life, welfare and sustainability indicators’ research. Specifically, their corresponding fields should moderate their interest on composite indicators and, instead, their future research should be focused, so much on the identification of their field's key indicators that play a crucial role to the interpretation of the complex phenomena studied, as on the identification of the relationships that link these key indicators together.     

Integrating Human Health and Environmental Health into the DPSIR Framework: A Tool to Identify Research Opportunities for Sustainable and Healthy Communities

The U.S. Environmental Protection Agency has recently realigned its research enterprise around the concept of sustainability. Scientists from across multiple disciplines have a role to play in contributing the information, methods, and tools needed to more fully understand the long-term impacts of decisions on the social and economic sustainability of communities. Success will depend on a shift in thinking to integrate, organize, and prioritize research within a systems context. We used the Driving forces–Pressures–State–Impact–Response (DPSIR) framework as a basis for integrating social, cultural, and economic aspects of environmental and human health into a single framework. To make the framework broadly applicable to sustainability research planning, we provide a hierarchical system of DPSIR keywords and guidelines for use as a communication tool. The applicability of the integrated framework was first tested on a public health issue (asthma disparities) for purposes of discussion. We then applied the framework at a science planning meeting to identify opportunities for sustainable and healthy communities research. We conclude that an integrated systems framework has many potential roles in science planning, including identifying key issues, visualizing interactions within the system, identifying research gaps, organizing information, developing computational models, and identifying indicators.     

Co-construction of an assessment method of the environmental sustainability for cattle farms involved in a Protected Designation of Origin (PDO) cheese value chain,Cantal PDO

In France, numerous Protected Designation of Origin (PDO) cheese value chains have revised their specifications to address environmental protection, particularly at the farm level. In this stage, it is nevertheless impossible to state whether the proposed modifications may ensure the sustainability of environmental protection as no environmental sustainability diagnostic has been conducted. The aim of this study is to construct an assessment method for the Cantal PDO farms.A multi-criteria assessment approach was implemented in the following 5 steps: definition of the framework of the study, determination of the principles and criteria, definition of the indicators, aggregation of all elements of the assessment, and finally, test of the assessment method on farms. Focus groups meetings were organised for the first four steps. The panel discussions were based on data obtained from both the literature and surveys of stakeholders operating in the value chain and within the territory.The obtained assessment method comprises 4 principles characterised by 33 indicators. The most important principle (45%), management of grassland resources, is a key economic and environmental point of the studied farms. It reflects the necessary intensive use of grass by the animals in the PDO farms. Few existing methods addressed this principle that required the design of several new indicators. The second principle, impact of agricultural practices (25%), is often included in environmental sustainability assessment methods The adopted indicators are, thus, drawn from existing methods and adapted to the context of the farms studied. The management of the farm buildings and the landscape principle (18%) is often considered in social sustainability. Its role in environmental sustainability can be explained by its strong link with the image of PDO products. Primarily drawn from the literature, the used indicators have been extended to make the assessment method as objective as possible. Finally, the management of local, energy and water resources principle has the lowest weighting (12%). This can be explained by the limited number of indicators.This assessment method was constructed for the Cantal PDO farms by considering their environment and particularities. In consequence, the stakeholders have taken ownership of it. It could be used by other ruminant systems based on grassland. The development of numerous indicators enhanced the pool of existing indicators. This assessment method was sensitive and allowed for the discrimination between farms.     

A partitioning approach for regional sustainability based on economic development indicators and ecological values for China

With the acceleration of China's urbanization and economic development, the ecological conditions of some areas have deteriorated, which has seriously affected the balance of ecological sustainability and socio-economic development. Therefore, how to formulate scientific partitioning strategies for both regional socio-economic development and ecological protection has become a key issue. Aimed at maintaining and improving regional sustainability, we established a partitioning indicator system of China considering 19 value indicators. We constructed the separate sets of the ecological values and economic-development values layers. Based on these two categories, China is classified into four types of functional areas, which are defined as key protected area, development area, low-tension area and conflict area. Finally, the Zonation model was used to identify the important regions of ecological sublayers, then these regions were overlapped with the conflict area to identify the key regions in conflict status which need more attention for ecological sustainability. The main research results are as follows: The ecological situation is generally better in southern China, while the development degree is higher in eastern China. The partitioning map shows that key protected areas mainly distributed in the Qinghai-Tibet Plateau and parts of northeast China, and the existing nature reserves can protect most of the high-value regions of protected areas. In addition, most of the land in southeast China is identified as conflict areas. Though only 12% of high-quality habitats identified by Zonation are located in conflict areas, but nearly one-third of these habitats are in extreme-conflict status. The research results can provide a scientific basis for decision-making agencies to optimize regional ecological value and socio-economic benefits for regional sustainability.     

Integration of system dynamics approach toward deepening and broadening the life cycle sustainability assessment framework: a case for electric vehicles

Purpose

Quantitative life cycle sustainable assessment requires a complex and multidimensional understanding, which cannot be fully covered by the current portfolio of reductionist-oriented tools. Therefore, there is a dire need on a new generation of modeling tools and approaches that can quantitatively assess the economic, social, and environmental dimensions of sustainability in an integrated way. To this end, this research aims to present a practical and novel approach for (1) broadening the existing life cycle sustainability assessment (LCSA) framework by considering macrolevel environmental, economic, and social impacts (termed as the triple bottom line), simultaneously, (2) deepening the existing LCSA framework by capturing the complex dynamic relationships between social, environmental, and economic indicators through causal loop modeling, (3) understanding the dynamic complexity of transportation sustainability for the triple bottom line impacts of alternative vehicles, and finally (4) investigating the impacts of various vehicle-specific scenarios as a novel approach for selection of a macrolevel functional unit considering all of the complex interactions in the environmental, social, and economic aspects.

Methods

To alleviate these research objectives, we presented a novel methodology to quantify macrolevel social, economic, and environmental impacts of passenger vehicles from an integrated system analysis perspective. An integrated dynamic LCSA model is utilized to analyze the environmental, economic, and social life cycle impact as well as life cycle cost of alternative vehicles in the USA. System dynamics modeling is developed to simulate the US passenger transportation system and its interactions with economy, the environment, and society. Analysis covers manufacturing and operation phase impacts of internal combustion vehicles (ICVs), hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and battery electric vehicles (BEVs). In total, seven macrolevel indicators are selected; global warming potential, particulate matter formation, photochemical oxidant formation, vehicle ownership cost, contribution to gross domestic product, employment generation, and human health impacts. Additionally, contribution of vehicle choices to global atmospheric temperature rise and public welfare is investigated.

Results and discussion

BEVs are found to be a better alternative for most of sustainability impact categories. While some of the benefits such as contribution to employment and GDP, CO₂ emission reduction potential of BEVs become greater toward 2050, other sustainability indicators including vehicle ownership cost and human health impacts of BEVs are higher than the other vehicle types on 2010s and 2020s. While the impact shares of manufacturing and operation phases are similar in the early years of 2010s, the contribution of manufacturing phase becomes higher as the vehicle performances increase toward 2050. Analysis results revealed that the US transportation sector, alone, cannot reduce the rapidly increasing atmospheric temperature and the negative impacts of the global climate change, even though the entire fleet is replaced with BEVs. Reducing the atmospheric climate change requires much more ambitious targets and international collaborative efforts. The use of different vehicle types has a small impact on public welfare, which is a function of income, education, and life expectancy indexes.

Conclusions

The authors strongly recommend that the dynamic complex and mutual interactions between sustainability indicators should be considered for the future LCSA framework. This approach will be critical to deepen the existing LCSA framework and to go beyond the current LCSA understanding, which provide a snapshot analysis with an isolated view of all pillars of sustainability. Overall, this research is a first empirical study and an important attempt toward developing integrated and dynamic LCSA framework for sustainable transportation research.

     

Emergy analysis of regional water ecological–economic system

The theoretical framework and methodology of a water ecological–economic system (WEES) assessment based on emergy synthesis are proposed in this paper. Through calculating ecological and economic inputs and outputs within and outside the complex system, this paper discusses the system's economic situation, water resources development and system sustainability based on a series of emergy indicators. Besides traditional indices, following the principle of system assessment, four new indices, water emergy ratio (WER), water emergy utilization ratio (WEUR), water emergy self-support ratio (WESR), and water emergy density (WED) are formulated to assess the state of water resources development quantitatively. Taking the Zhengzhou water ecological–economic system as a study area, through the comparison of the systematic indicators of Zhengzhou with those of the selected Chinese cities, the general status of the Zhengzhou water ecological–economic system in China is identified. The results also show that most indicators of Beijing are located at middle levels among the selected Chinese cities. In particular, the sustainability, expressed by the indicators emergy-based sustainability index (ESI) and water resources population carrying capacity (WPC) were 1.34 and 1.94 million, respectively, in Zhengzhou in 2005, which indicates that the Zhengzhou WEES is in heavy pressure of water resources and is located at low levels of sustainability.     

基于生态足迹的半干旱草原区生态承载力与可持续发展研究--以内蒙古锡林郭勒盟为例

以内蒙古自治区锡林郭勒盟为例,以锡林郭勒盟1981-2008年的统计资料为依据,应用生态足迹法对其近30 a的生态足迹和生态承载力进行了实证计算和研究,探讨了半干旱草原区的生态承载力动态变化及其对可持续发展的影响。研究表明:(1)工业化、城镇化的快速发展,使该区生态足迹明显增加,人均生态足迹由1981年的1.0868 hm²增加到2008年的24.2176 hm²,高于全国和国内部分草原区,化石能源和草地生态足迹急剧增加是区域生态足迹增加的主导因素;(2)随着人口增长,草地、耕地等人均承载力下降,土地总人均承载力也从1981的3.1565 hm²下降到2008年的2.3915 hm²;(3)该区域发展呈现出由生态盈余转为生态赤字,且生态赤字快速增长的趋势。其根源一方面是20世纪90年代以来,国内市场对煤炭等本地优势资源需求的增加和重新配置加速了该区域工业化进程,增加了生态足迹;另一方面草地需求旺盛导致对草地的掠夺性经营加剧,致使草地退化严重,降低了生态承载力。锡林郭勒盟以畜牧业为主,草地是经济发展的基础,而工业化、城镇化的发展急剧增加了对草地资源的需求,如何科学、合理的协调工业化、城镇化发展和草地退化之间的矛盾,是锡林郭勒盟能否可持续发展的一个关键性因素。     

A proposal to explore the role of sustainability indicators in local governance contexts: The case of Palmela,Portugal

The actual use of sustainability indicators and their steering potential is constrained by the particularities of governance contexts, by institutional patterns and changes, by the different interpretations of what sustainable development means and entails, and by the tensions around the main values nurturing the positions of the most relevant actors. This paper proposes a normative conceptual framework to further explore the role of sustainability indicators in local governance contexts, and applies it to the Portuguese municipality of Palmela. It aims to contribute to a better understanding of how, why and in what circumstances the processes of developing and using indicators can be important steering mechanisms for governance for sustainability, particularly at the local level. The methods used include primary literature review and official documents and data, interviews to local public officers and qualitative analysis. Palmela provides insights on concrete government achievements through the implementation of sustainability indicators, but clearly shows how they are insufficient to foster innovative governance arrangements for sustainability. The normative framework enables the identification of successes and failures of developing and using sustainability indicators in improving local governance and ultimately in helping to achieve sustainability goals.     

Meta-performance evaluation of sustainability indicators

There are many different kinds of frameworks for evaluating environmental and sustainability performance at the organizational level (profit or not-for-profit, private or public), sectoral level (e.g. industry, transport, agriculture and tourism), and local, regional or country levels. Despite the diversity of methods and tools to measure sustainable development, indicators are one of the approaches most used. However, these tools do not usually include evaluation of the performance measurement instrument itself. The main objective of this research is to develop a conceptual framework to design and assess the effectiveness of the sustainability indicators themselves. To put the proposed tool into practice, a set of key good-practice factors and meta-performance evaluation indicators is proposed for adoption in a national case study—the national sustainable development indicators system, SIDS Portugal, and the usefulness of this methodology is demonstrated. This approach aims to evaluate how appropriate a set of sustainability indicators is and allow an evaluation of overall performance-monitoring activities and results. Stakeholder involvement is an essential component of the proposed framework. The tool developed could support continuous improvement in the performance of ongoing sustainability indicator initiatives, allowing greater guidance, objectivity and transparency in sustainability assessment processes.     

土地退化零增长评估——以蒙古高原为例

由于全球气候变化以及人类活动对生态系统的影响加剧,干旱半干旱区的土地退化愈发严重。为了防止土地退化,联合国防治荒漠化公约(UNCCD)提出了土地退化零增长(LDN)的目标。首先介绍LDN的概念与评估方法,接下来以蒙古高原为例,采用土地覆盖、土地生产力和土壤有机碳3个核心指标,评估2001-2020年蒙古高原LDN目标的实现情况。研究结果表明,相对于基线期(2001-2010年)的生态系统状态,评估期内(2011-2020年)新增恢复区域的面积(10.83×10⁴km²)大于新增退化区域的面积(7.77×10⁴km²),蒙古高原在2020年已实现土地退化零增长目标。两个十年中,恢复面积比退化面积分别超出6.87×10⁵km²(2001-2010年)和9.44×10⁵km²(2011-2020)。但是现有的LDN评估方法存在指标和方法不完善以及数据源不确定等问题,未来研究需进一步优化和发展评估指标与方法。此外,目前以LDN为概念框架的实证性研究还比较少,区域评估有助于评判区域土地退化状况和识别关键区域,从而制订空间明晰的生态恢复策略。     

Economic modelling and indicators in life cycle sustainability assessment

Purpose

Sustainability assessment in life cycle assessment (LCA) addresses societal aspects of technologies or products to evaluate whether a technology/product helps to address important challenges faced by society or whether it causes problems to society or at least selected social groups. In this paper, we analyse how this has been, and can be addressed in the context of economic assessments. We discuss the need for systemic measures applicable in the macro-economic setting.

Methods

The modelling framework of life cycle costing (LCC) is analysed as a key component of the life cycle sustainability assessment (LCSA) framework. Supply chain analysis is applied to LCC in order to understand the relationships between societal concerns of value adding and the basic cost associated with a functional unit. Methods to link LCC as a foreground economic inventory to a background economy wide inventory such as an input–output table are shown. Other modelling frameworks designed to capture consequential effects in LCSA are discussed.

Results

LCC is a useful indicator in economic assessments, but it fails to capture the full dimension of economic sustainability. It has potential contradictions in system boundary to an environmental LCA, and includes normative judgements at the equivalent of the inventory level. Further, it has an inherent contradiction between user goals (minimisation of cost) and social goals (maximisation of value adding), and has no clear application in a consequential setting. LCC is focussed on the indicator of life cycle cost, to the exclusion of many relevant indicators that can be utilised in LCSA. As such, we propose the coverage of indicators in economic assessment to include the value adding to the economy by type of input, import dependency, indicators associated with the role of capital and labour, the innovation potential, linkages and the structural impact on economic sectors.

Conclusions

If the economic dimension of LCSA is to be equivalently addressed as the other pillars, formalisation of equivalent frameworks must be undertaken. Much can be advanced from other fields that could see LCSA to take a more central role in policy formation.     

A Review of Evaluations of Electronic Event-Based Biosurveillance Systems

Electronic event-based biosurveillance systems (EEBS’s) that use near real-time information from the internet are an increasingly important source of epidemiologic intelligence. However, there has not been a systematic assessment of EEBS evaluations, which could identify key uncertainties about current systems and guide EEBS development to most effectively exploit web-based information for biosurveillance. To conduct this assessment, we searched PubMed and Google Scholar to identify peer-reviewed evaluations of EEBS’s. We included EEBS’s that use publicly available internet information sources, cover events that are relevant to human health, and have global scope. To assess the publications using a common framework, we constructed a list of 17 EEBS attributes from published guidelines for evaluating health surveillance systems. We identified 11 EEBS’s and 20 evaluations of these EEBS’s. The number of published evaluations per EEBS ranged from 1 (Gen-Db, GODsN, MiTAP) to 8 (GPHIN, HealthMap). The median number of evaluation variables assessed per EEBS was 8 (range, 3–15). Ten published evaluations contained quantitative assessments of at least one key variable. No evaluations examined usefulness by identifying specific public health decisions, actions, or outcomes resulting from EEBS outputs. Future EEBS assessments should identify and discuss critical indicators of public health utility, especially the impact of EEBS’s on public health response.     

A selection of safeguard subjects and state indicators for sustainability assessments

Purpose

The purpose of this work is to identify and select safeguard subjects and state indicators that are suitable for sustainability assessment in product and production development, using an interpretation of the Brundtland definition of sustainable development. The purpose is also to investigate how indicators selected in this way differ from other selections in the literature.

Methods

We use a top-down approach, which starts with reviewing the Brundtland definition of sustainability and identifying the corresponding human basic needs to be satisfied. For each basic need, we identify relevant satisfiers, and for each satisfier, a number of safeguard subjects. The safeguard subjects represent critical resources for making satisfiers available. For each safeguard subject, a number of state indicators (=endpoint category indicators) are selected that are relevant for describing impacts from product life cycles on the safeguard subject.

Results and discussion

Ecosystem services, access to water, and abiotic resources are identified as environmental safeguard subjects. Technology for transports, environment, textiles, housing, food, information, and energy, together with income, are identified as economical safeguard subjects. Human health, land availability, peace, social security, continuity, knowledge, jobs/occupation, and culture are identified as social safeguard subjects. In comparison with the other selections of safeguard subjects in literature, our safeguard subjects are structured differently and delimited in scope, but there are also many similarities. The best agreement is on environmental issues, but we classify human health as a social issue. For social issues, we identify fewer safeguard subjects and state indicators than recommendations from UNEP/SETAC. For economic issues, we diverse from current LCC and approach UNECE measures of sustainability.

Conclusions

Identification and selection of safeguard subjects and state indicators benefit from a clear definition of sustainability, needs to be satisfied, and satisfiers. The interpretation of the sustainability concept has a large influence on which safeguard subjects that are included and which indicators that are needed to describe their state. Capacity building is an important sustainability indicator, which should be developed further for use in life cycle sustainability assessment. The top-down approach offers a good arena for a further research and discussions on how to structure and focus LCSA. Our results shall be seen as one example of which safeguard subject that may be identified with the top-down approach presented here.