Measuring and Improving Eco‐efficiency Using Data Envelopment Analysis

The concept of eco‐efficiency can be defined with the “product value/environmental influence” ratio. Different models have been proposed to measure eco‐efficiency. The main difference among them is the weighting system used to aggregate the environmental results. Data envelopment analysis (DEA) permits this aggregation without requiring a subjective judgment about the weights. In this study, we applied a DEA model to Spanish Mahón‐Menorca cheese production to determine the most eco‐efficient production techniques. To this end, 16 scenarios of Mahón‐Menorca cheese production were built regarding technical (degree of automation) and cleaner production criteria. The environmental impacts were assessed by means of life cycle assessment. We carried out an economic assessment by determining the economic value added and the net income for each scenario. The results are referred to as 1 kilogram (kg) cheese ripened over 105 days. Through DEA, an eco‐efficiency ratio between 0 and 1 was obtained. Three scenarios were found to be eco‐efficient, with a high degree of automation (enclosed vat and molding and demolding machines) and accelerated cheese ripening. We used Monte Carlo simulation to carry out a sensitivity analysis to compare the influence of price changes on the eco‐efficiency ratio. The results emphasize the consistency and stability of the eco‐efficient scenarios.     

Comprehensive Regional Eco‐Efficiency Analysis Based on Data Envelopment Analysis: The Case of Polish Regions

This article examines the concept of eco‐efficiency at a regional level as an approach to promote the sustainable transformation of regions, using the regions of Poland as an example. The data envelopment analysis (DEA) method—the input‐oriented Charnes, Cooper, and Rhodes (CCR) model—was chosen as the eco‐efficiency analysis tool because of its high capability to measure the regional eco‐efficiency. The research process was divided into two stages. First, the chosen instruments of mathematical statistics (e.g., Hellwig's method and coefficient of determination) were applied to ensure an appropriate combination of environmental and economic indicators of the eco‐efficiency equation. Next, the CCR model was used to calculate the eco‐efficiency scores. The results of the study have revealed that the regions of Lubuskie, Mazowieckie, ?l?skie, Warmińsko‐Maurskie, and Wielkopolskie are relatively eco‐efficient, whereas the remaining regions use too many environmental resources in relation to the produced value of goods and services. Six of the eleven eco‐inefficient regions in Poland have increasing returns to scale, that is, the usage of natural resources connected with the negative impact upon the environment rises slower than the values of goods and services. Notwithstanding, it is beneficiary from the perspective of sustainability. The obtained research results are a valuable source of management information for the creation of regional environmental protection strategies and a basis for searching for the causes of eco‐inefficiency.     

Eco‐efficiency Based on Social Performance and its Relationship with Financial Performance

As corporate responsibility for environmental management has gained attention, eco‐efficiency has become recognized as an important concept for improving the social performance of the business sector as well as that of the public sector. Improving eco‐efficiency is widely accepted not only as a means of increasing economic value, but also as a means of reducing environmental effects. However, managing for eco‐efficiency should take into consideration the differences among industries, because the impact of eco‐efficiency on financial and social performance varies among industries. To explore this variation, we conducted a cross‐industry analysis of eco‐efficiency based on social performance using data envelopment analysis (DEA). DEA measures relative efficiency and is a useful tool for taking into account the relative importance of industry‐specific characteristics. Using DEA, eco‐efficiency scores were derived based on the ratio of two factors of social performance: (1) value‐added inducing and production‐inducing economic spillover effects and (2) the amount of greenhouse gases emitted and energy used. Then, we identified the relationships between our eco‐efficiency score and financial performance, which is a measure of the firm's stability. The case study is based on 272 firms in 16 industries in South Korea. Results show that firms in product manufacturing and service‐intensive industries tend to have higher eco‐efficiency scores than those in raw material or chemical‐intensive industries. In addition, most of the industries reveal no relationship between traditional financial performance metrics and eco‐efficiency scores. A handful of industries had significant relationships with one or more financial performance metrics; in some cases, these relationships were negative, whereas in others they were positive. Surprisingly, almost all industries have no significant relationships between eco‐efficiency and financial performance. This result implies that government support for policies that reward firms that attempt to be eco‐efficient are needed, or that other nonfinancial metrics that influence eco‐efficiency, such as employment and brand reputation, should be considered. This article is expected to support policy makers as they formulate industry‐specific environmental strategies.     

The Ecological Footprint Intensity of National Economies

At least three perspectives—industrial ecology (IE), ecological modernization theory (EMT), and the “environmental Kuznets curve” (EKC)—emphasize the potential for sustainability via refinements in production systems that dramatically reduce the environmental impacts of economic development. Can improvements in efficiency counterbalance environmental impacts stemming from the scale of production? To address this question we analyze cross‐national variation in the ecological footprint (EF) per unit of gross domestic product (GDP). The EF is a widely recognized indicator of human pressure on the environment. The EF of a nation is the amount of land area that would be required to produce the resources it consumes and to absorb the wastes it generates. The most striking finding of our analyses is that there is limited variation across nations in EF per unit of GDP. This indicates limited plasticity in the levels of EF intensity or eco‐efficiency among nations, particularly among affluent nations. EF intensity is lowest (ecoefficiency is highest) in affluent nations, but the level of efficiency in these nations does not appear to be of sufficient magnitude to compensate for their large productive capacities. These results suggest that modernization and economic development will be insufficient, in themselves, to bring about the ecological sustainability of societies.     

Renewable Eco‐industrial Development

This article reviews the scope of the discipline of industrial ecology and, in the context of an urgent requirement for substantial and rapid change in the face of global sustainability challenges, argues that the discipline could embrace a more proactive, interventionist stance in the form of renewable eco‐industrial development. Existing eco‐industrialism is presented as flawed, with many cases premised on the use of nonrenewable resources. Renewable eco‐industrial development, while still nascent, has the potential both to resolve some sustainability challenges and to offer a new area of endeavor for industrial ecology, albeit one with its own unique difficulties, such as conflict with food production. Renewable eco‐industrial development is further argued to bring industrial ecology into a more socially critical stance as it concerns the future allocation of scarce resources.     

Absolute versus Relative Environmental Sustainability

The cradle‐to‐cradle (C2C) concept has emerged as an alternative to the more established eco‐efficiency concept based on life cycle assessment (LCA). The two concepts differ fundamentally in that eco‐efficiency aims to reduce the negative environmental footprint of human activities while C2C attempts to increase the positive footprint. This article discusses the strengths and weaknesses of each concept and suggests how they may learn from each other. The eco‐efficiency concept involves no long‐term vision or strategy, the links between resource consumption and waste emissions are not well related to the sustainability state, and increases in eco‐efficiency may lead to increases in consumption levels and hence overall impact. The C2C concept's disregard for energy efficiency means that many current C2C products will likely not perform well in an LCA. Inherent drawbacks are restrictions on the development of new materials posed by the ambition of continuous loop recycling, the perception that human interactions with nature can benefit all parts of all ecosystems, and the hinted compatibility with continued economic growth. Practitioners of eco‐efficiency can benefit from the visions of C2C to avoid a narrow‐minded focus on the eco‐efficiency of products that are inherently unsustainable. Moreover, resource efficiency and positive environmental effects could be included more strongly in LCA. Practitioners of C2C on the other hand should recognize the value of LCA in addressing trade‐offs between resource conservation and energy use. Also, when designing a “healthy emission” it should be recognized that it will often have an adverse effect on parts of the exposed ecosystem.     

Environmental Performance Analysis of Eco‐Industrial Parks in China: A Data Envelopment Analysis Approach

In pursuit of more sustainable development of industry, China has been actively developing eco‐industrial parks (EIPs) for more than a decade. However, the environmental value of these EIPs remains largely unverified. This study aimed to evaluate the environmental performance of national EIPs in China using data envelopment analysis. Eco‐efficiency and environmental performance indices were used to represent the static and dynamic environmental performance of EIPs, respectively. An environmental performance index was formed by combining measures of eco‐efficiency in a dynamic setting with the sequential Malmquist index approach. We obtained three main empirical findings. First, 34 national EIPs exhibited a cumulative environmental performance improvement of 89.4% from 2007 to 2010, which is primarily the result of eco‐efficiency change rather than environmental technical change. Second, compared with the trial EIPs, the demonstration EIPs had a higher average eco‐efficiency (0.611 vs. 0.446 in 2010) and experienced greater average environmental performance improvement (129% vs. 60%). Third, the EIPs retrofitted from high‐tech industrial development zones exhibited much higher average eco‐efficiency (0.798 vs. 0.440 in 2010) than those retrofitted from economic and technical development zones. The key measures supporting the performance improvement and policy implications for the development of EIPs are also discussed.     

Addressing the Life Cycle of Sewers in Contrasting Cities through an Eco‐Efficiency Approach

Evaluating the sustainability of the urban water cycle is not straightforward, although a variety of methods have been proposed. Given the lack of integrated data about sewers, we applied the eco‐efficiency approach to two case studies located in Spain with contrasting climate, population, and urban and sewer configurations. Our goal was to determine critical variables and life cycle stages and provide results for decision making. We used life cycle assessment and life cycle costing to evaluate their environmental and economic impacts. Results showed that both cities have a similar profile, albeit their contrasting features, that is, operation and maintenance, was the main environmental issue (50% to 70% of the impacts) and pipe installation registered the greatest economic capital expenditure (70% to 75%) due to labor. The location of the wastewater treatment plant (WWTP) is an essential factor in our analysis mainly due to the topography effects (e.g., the annual pump energy was 13 times greater in Calafell). Using the eco‐efficiency portfolio, we observed that sewers might be less eco‐efficient than WWTPs and that we need to envision their design in the context of an integrated WWTP‐sewer management to improve sewer performance. In terms of methodological approach, the bidimensional nature of eco‐efficiency enables the benchmarking of product systems and might be more easily interpreted by the general public. However, there are still some constraints that should be addressed to improve communication, such as the selection of indicators discussed in the article.     

Sustainability evaluation of e-waste treatment based on emergy analysis and the LCA method: A case study of a trial project in Macau

Electrical and electronic waste (e-waste) has become one of the fastest growing waste streams in the world, and many countries have established e-waste treatment enterprises to solve their e-waste problems. Because of the potential environmental pollution from e-waste, evaluating the overall sustainability of e-waste enterprises is critical to both nations and cities, although a great challenge academically. In this study, a combined approach of emergy analysis and life cycle assessment (LCA) was undertaken, to quantitatively investigate the effectiveness of an e-waste treatment trial project in Macau. In the emergy analysis, we also introduced two new indices (emergy recovery and technical efficiency) in order to evaluate the technical level of e-waste treatment in Macau. The research results show that the trial project has low competitive ability, due to high input emergy and low economic benefits. The emergy environmental efficiency analysis and LCA analysis together indicated that the trial project will indeed produce a low impact on the local environment, and because of the recovery of some resources in the e-waste treatment process, can even generate some environmental benefits. The analysis on the emergy recovery efficiency and technical efficiency shows that trial project has a relatively higher emergy recovery rate (52.78%) and technical level (72.36%) than the e-waste treatment enterprises in mainland China. However, based on both the emergy sustainability index (ESI) and the emergy–LCA sustainability index, it was found that the e-waste treatment trial project is not sustainable over the long term, due to low economic efficiency. Compared to ESI, the emergy–LCA sustainability index is more intuitive and easier to understand. Relevant results and data from this study could provide decision support to enterprise managers and government sectors, so that they could implement appropriate policies on e-waste treatment, to promote sustainable development and improved e-waste processing technologies.     

Modeling and Optimization of a Coal‐Chemical Eco‐industrial System in China

China is coal dependent, and this situation will persist for a long time. Because more and more attention has been paid to energy security, the coal‐chemical industry has become a hot topic and has developed quickly. To improve efficiency and reduce emissions, industrial symbiosis (IS) can be introduced when establishing a coal‐chemical eco‐industrial system to achieve harmonious development between nature, industry, and society. In order to learn the influence of IS on the current industrial system, a model of coal‐chemical eco‐industrial systems was built. Using scenario optimization and linear programming, the behaviors and optimal industrial structures of the system under different scenario settings were compared, and industrial ecological analysis was performed. By comparative analysis, results showed that the greatest proportional decrease in the use of coal for coking was 15% compared with actual data for 2005. The resource‐productivity and eco‐productivity were 828 yuan/ton and 2.51, which are much higher than the values of 548 yuan/ton and 1.23 in 2005. The symbiosis index and the link density were found to be 0.675 and 1.67, compared with 0.588 and 0.94 in 2005. Research results showed that the coal‐chemical eco‐industrial system achieved a high value‐added utilization of coal and an updated product profile. Such systems will constitute the main direction and the inevitable trend of China's coal utilization in the future, which will reduce the harm to the environment from increased coal use and benefit the energy industry, the economy, and society.     

International Cooperation for Metal Recycling From Waste Electrical and Electronic Equipment

This article addresses a market‐based management concept for waste electrical and electronic equipment (WEEE) known as the “best‐of‐two‐worlds” approach. The concept is based on the idea that recyclers in developing countries and emerging economies can cooperate with technologically advanced refineries in industrialized countries to facilitate efficient recovery of valuable metals, such as gold and palladium, from e‐waste. The article provides an overview of technical and environmental concerns underlying the concept and sheds light on the political framework, the waste‐related trade issues, and the resource economics that need to be considered for further decision making. Building on this synthesis, I conduct a qualitative assessment of sustainability impacts of the proposed concept by analyzing two scenarios and their associated risks. The analysis suggests that, under certain preconditions, the best‐of‐two‐worlds concept could yield significant improvements in terms of management of hazardous substances, resource efficiency, greenhouse gas emissions, income generation, and investments into social and environmental standards. Generally, two potential implementation scenarios were identified: Whereas under Scenario 1 only WEEE generated within developing countries and emerging economies is managed through the best‐of‐two‐worlds approach, Scenario 2 additionally incorporates WEEE imported from industrialized countries. Although both scenarios can yield a variety of benefits, Scenario 2 might cause a net flow of hazardous substances from industrialized countries into developing countries and emerging economies, thus leading to less beneficial sustainability impacts.     

The Dematerialization Potential of the Australian Economy

In this article we test the long‐term dematerialization potential for Australia in terms of materials, energy, and water use as well as CO₂ emissions by introducing concrete targets for major sectors. Major improvements in the construction and housing, transport and mobility, and food and nutrition sectors in the Australian economy, if coupled with significant reductions in the resource export sectors, would substantially improve the current material, energy, and emission intensive pattern of Australia's production and consumption system. Using the Australian Stocks and Flows Framework we model all system interactions to understand the contributions of large‐scale changes in technology, infrastructure, and lifestyle to decoupling the economy from the environment. The modeling shows a considerable reduction in natural resource use, while energy and water use decrease to a much lesser extent because a reduction in natural resource consumption creates a trade‐off in energy use. It also shows that trade and economic growth may continue, but at a reduced rate compared with a business‐as‐usual scenario. The findings of our modeling are discussed in light of the large body of literature on dematerialization, eco‐efficiency, and rebound effects that may occur when efficiency is increased. We argue that Australia cannot rely on incremental efficiency gains but has to undergo a sustainability transition to achieve a low carbon future to keep in line with the international effort to avoid climate change and resource use conflicts. We touch upon the institutional changes that would be required to guide a sustainability transition in the Australian economy, such as an emission trading scheme.     

Progress Toward a Circular Economy in China

Eco‐industrial initiatives, which close industrial loops by turning wastes at one point in a value chain into inputs at another point, are attracting growing interest as a solution to the problem of sustainability of industrial systems. Although Germany and Japan have made important advances in building recycling incentives into their industrial systems and sought competitive advantage from doing so, China is arguably taking the issue even further (in principle) through its pursuit of a circular economy, now enshrined in law as an official national development goal. In this article, we review a number of the eco‐industrial initiatives taken in China and compare them using a common graphical representation with comparable initiatives taken in the West and elsewhere in East Asia. Our aim is to demonstrate some common themes across the case studies, such as the transformation from the former linear economy to a circular economy and the evolutionary processes in which dynamic linkages are gradually established over time. We discuss the drivers of these eco‐industrial initiatives as well as the inhibitors, setting the initiatives in an evolutionary framework and introducing a notion of Pareto eco‐efficiency to evaluate them. We make the argument that China might be capturing latecomer advantages through its systematic promotion of eco‐industrial initiatives within a circular economy framework.     

毛乌素沙地县域典型农、牧户单元生态经济系统能值分析

农、牧户单元生态经济系统作为最基层的生产单位,关系着国家大政方针政策的落实和实施.运用能值理论及其分析方法,选择毛乌素沙地偏牧区的内蒙古自治区乌审旗苏力德苏木典型牧户生态经济系统和偏农区的陕西省榆阳区牛家梁镇典型农户生态经济系统作为研究对象,对两种不同产业偏重区产业模式的能值投入、产出结构状况进行对比分析,结合净能值产出率、能值投资率、环境负荷力、能值功率密度、单位面积生产力、人均能值用量、人均能值占有量、系统生产优势度、系统稳定性指数和系统可持续性指数共10项能值分析综合指标体系,全面系统地对农、牧户单元生态经济系统进行比较研究,定量描述典型农、牧户单元生态经济系统格局及其发展的总体特征.旨在为毛乌素沙地偏牧区和偏农区农、牧户经营层面的产业模式优化及发展提供策略选择.     

An Ecological Economic Critique of the Use of Market Information in Life Cycle Assessment Research

The rising prominence of life cycle assessment (LCA) and similar environmental accounting frameworks reflects increasing awareness of the pressing necessity of managing both for eco‐efficiency and with respect to the macroscale, environmental dimensions of the material/energy flows and emissions that underpin all economic activity. However, by relying on environmentally myopic market signals to inform evaluations of the biophysical dimensions of economic activity through the widespread use of market information (in particular, via economic allocation) in LCA, we are concerned that researchers greatly compromise the value of their work to furthering these objectives. In response to this problem, we provide a systematic critique of the use of market information in attributional LCA and present the case for an ecological‐economic approach to the execution, interpretation, and application of biophysically consistent LCA research specifically intended to elucidate the environmental dimensions of meeting human needs. We further argue that, although LCA has historically been limited to informing eco‐efficiency considerations, it can and should also be used to manage for sustainable scale, which is the first condition of sustainability.     

Eco‐efficiency assessment of calcium sulfoaluminate clinker production

Calcium sulfoaluminate‐based cements (CSA) are proposed as a cement alternative with a low carbon footprint. The nature of CSA makes the manufacturing process to require lower temperature, less fuel, and less calcite. However, it requires aluminum oxide, Al₂O₃, which would be originated from bauxite and bauxite‐derived wastes, and sulfur, coming from calcium sulfate or elemental sulfur. An eco‐efficiency assessment of CSA cements, benchmarked against the conventional Portland cement, has been performed following the principles of ISO 14045 on eco‐efficiency for a total of 240 CSA clinker production scenarios. The eco‐efficiency indicator relates an environmental indicator with a product system value indicator, and it is calculated for each of the studied parameters: bauxite geographical origin, the fuel used for clinkering, the source of sulfur, and the composition of the clinker. Eco‐efficiency results show a strong dependence on the origin of bauxite, while other parameters, as the fuel used, its content in sulfur, or the supply of other raw materials, are of less importance. The most eco‐efficient solutions are those with certain closeness to bauxite sources. To achieve global solutions, that is, cement‐making based on CSA independently of the origin of the raw materials, the amount of bauxite needs to be minimized and CSA composition restricted.     

Income inequalities in unhealthy life styles in England and Spain

Health inequalities in developed societies are persistent. Arguably, the rising inequalities in unhealthy lifestyles might underpin these inequality patterns, yet supportive empirical evidence is scarce. We examine the patterns of inequality in unhealthy lifestyles in England and Spain, two countries that exhibit rising obesity levels with a high prevalence of smoking and alcohol use. This study is unique in that it draws from health survey data spanning over a period in which major contextual and policy changes have taken place. We document persistent income-related inequalities in obesity and smoking; both unhealthy lifestyles appear to be disproportionately concentrated among the relatively poor in recent decades. In contrast, alcohol use appears to be concentrated among richer individuals in both periods and countries examined.     

高产磷高效水稻磷素吸收利用特征

通过正常供磷的大田试验（2011年）,以产量和磷籽粒生产效率为指标,将27份中熟水稻亲本材料划分为4个类型,再通过正常和低磷处理的土培试验（2012年）,筛选出高产磷高效水稻材料,并探讨各种磷效率对产量的贡献率.结果表明： 结合两年的试验结果,供试材料的产量和磷利用效率均存在显著的基因型差异,筛选出GR泸17/矮TTP//泸17_2（QR20）为高产磷高效材料.在两个供磷水平下,QR20的产量和磷利用效率均显著高于低产磷低效材料玉香B,其产量分别是玉香B的1.96和1.92倍.大田和土培试验结果均表明,磷积累量对产量的贡献率均高于磷籽粒生产效率和磷收获指数.正常供磷条件下,磷积累量和磷籽粒生产效率对产量的贡献率差异不大,低磷条件下差异较大（66.5%和26.6%）,磷收获指数对产量的贡献率最低,最高仅为11.8%（土培）.土培试验中,正常供磷条件下,拔节-抽穗阶段的磷积累量对产量和磷收获指数的贡献率最高,分别为93.4%和85.7%,对磷籽粒生产效率的贡献率为41.8%;在低磷条件下,分蘖-拔节阶段的磷积累量对产量和磷籽粒生产效率的贡献率最高,分别为56.9%和20.1%,对磷收获指数的贡献率为16.0%.土培正常供磷条件下,水稻QR20的产量、磷积累量和磷收获指数相对于低磷处理分别增加了20.6%、18.1%和18.2%,差异显著.综上,磷效率对水稻产量的贡献率大小依次为磷吸收效率＞利用效率＞转运效率;正常供磷条件下,拔节-抽穗阶段的磷积累量对产量的贡献率最高,低磷胁迫下,分蘖-拔节阶段的磷积累量对产量的贡献率最高,这两个阶段可能是水稻高产磷高效协调统一的关键时期.
     

Economic and Social Impact Assessment of China's Multi‐Crystalline Silicon Photovoltaic Modules Production

It is important to have insights into the potential sustainability impacts as early as possible in the development of technology. Solar photovoltaic (PV) technologies provide significant environmental, economic, and social benefits in comparison to the conventional energy sources. Because most previous studies of multi‐crystalline silicon (Multi‐Si) PV modules discuss the environmental impacts, this study quantitatively assesses the economic and social impacts of China's multi‐crystalline silicon (mc‐Si) PV modules production stages. The economic analysis is uses life cycle cost analysis, and the social impact analysis is carried out by applying the social index evaluation method. The economic analysis results demonstrate that the main cost of mc‐Si PV modules production in China lies in raw materials and labor and the production of Multi‐Si PV cells have the highest cost among the five manufacturing processes involved in Multi‐Si PV. The result of the social impact analysis reveal that the employment contribution index, S₁₁, is 0.72, indicating that Multi‐Si PV modules production in China has a prominent contribution to employment in comparison with other industries; the labor civilization degree, S₁₂ (i.e., the proportion of mental labor involved in a given job), and labor income contribution index, S₁₃, are both approximately 0.6, indicating that Multi‐Si PV modules production has a less‐significant labor level and income contribution in comparison with other industries; the production capacity contribution index, S₁₄, is merely 0.183, indicating that production of Multi‐Si PV modules does not contribute significantly to the gross domestic product (GDP). Based on the results of these evaluations, some recommendations to improve the economic and social impact of Multi‐Si PV modules production in China are presented, including support for research on polycrystalline silicon production for the purpose of reducing the raw material cost, as well as upgrading manufacturing facilities and implementing the corresponding production training in order to promote the labor civilization degree.     

Early‐stage sustainability assessment of biotechnological processes: A case study of citric acid production

Sustainability assessment using a life‐cycle approach is indispensable to contemporary bioprocess development. This assessment is particularly important for early‐stage bioprocess development. As early‐stage investigations of bioprocesses involve the evaluation of their ecological and socioeconomic effects, they can be adjusted more effectively and improved towards sustainability, thereby reducing environmental risk and production costs. Early‐stage sustainability assessment is an important precautionary practice and, despite limited data, a unique opportunity to determine the primary impacts of bioprocess development. To this end, a simple and robust method was applied based on the standardized life‐cycle sustainability assessment methodology and commercially available datasets. In our study, we elaborated on the yeast‐based citric acid production process with Yarrowia lipolytica assessing 11 different substrates in different process modes. The focus of our analysis comprised both cultivation and down‐stream processing. According to our results, the repeated batch raw glycerol based bioprocess alternative showed the best environmental performance. The second‐ and third‐best options were also glycerol‐based. The least sustainable processes were those using molasses, chemically produced ethanol, and soy bean oil. The aggregated results of environmental, economic, and social impacts display waste frying oil as the best‐ranked alternative. The bioprocess with sunflower oil in the batch mode ranked second. The least favorable alternatives were the chemically produced ethanol‐, soy oil‐, refined glycerol‐, and molasses‐based citric acid production processes. The scenario analysis demonstrated that the environmental impact of nutrients and wastewater treatment is negligible, but energy demand of cultivation and down‐stream processing dominated the production process. However, without energy demand the omission of neutralizers almost halves the total impact, and neglecting pasteurization also considerably decreases the environmental impact.