Linking Industrial Ecology and Ecological Economics: A Theoretical and Empirical Foundation for the Circular Economy

The circular economy (CE) is a new model for the production and consumption of goods, which has attracted wide political attention as a strategy toward sustainability. However, the theoretical foundation of CE remains poorly structured and insufficiently explored. Recent studies have shown that the CE model draws on different schools of thought and that its origins are mainly rooted in fields such as industrial ecology (IE) and ecological economics (EE). In this article, we investigate the links between CE, IE, and EE and provide an overview of the similarities and differences between these fields. At the same time, we analyze to what extent the linkages between IE and EE can create a coherent body of knowledge for CE, and be used to identify further research opportunities. This paper shows that, until now, research on CE seems to be mainly rooted in the field of IE and based on concepts and tools that already exist in other fields, rather than inventing new ones. The reconciliation of IE and EE could provide a mechanism to extend beyond such a narrow focus, and increase knowledge of the theoretical and practical framework of CE to benefit sustainability.     

Understanding the Evolution of Industrial Symbiosis Research

This study analyzes the evolution of the research field of industrial symbiosis (IS). We elucidate its embedding in industrial ecology (IE), trace the development of research themes, and reveal the evolution of the research network through analysis of the core literature and journals that appeared from 1997 to 2012 by citation analysis, cocitation analysis, and network analysis. In the first period (1997–2005), IS research held a minority share in the IE literature. The research revolved around the concept of IS, the assessment of eco‐industrial park projects, and the establishment of waste treatment and recycling networks. In the second period (2006–2012), diverse research approaches and theories enriched the field, which has led to a maturation in theory building. Our findings clearly illustrate that IS evolved from practice‐oriented research toward coherent theory building through a systematic underpinning and linking of diverse topics. As scientific attention shifted from exploring a phenomenon to elucidating underlying mechanisms, IS knowledge found worldwide practical implementation. The coauthorship network shows that the academic communities of IS are distributed worldwide and that international collaboration is widespread. Through bibliometric and network analysis of IS, we have created a systemic, quantitative image of the evolution of the IS research field and community, which gives IS researchers an underpinned overview of the IS research and may help them to identify new directions and synergy in worldwide research.     

Success and Its Price: The Institutionalization and Political Relevance of Industrial Ecology

As industrial ecology (IE) solidifies conceptually and methodologically, and as it gains visibility and legitimacy in academia, industry, and government, it is important that the IE community periodically evaluate the status of its emerging institutional arrangements. At the same time, industrial ecologists should assess the political relations developing between the field and the larger world. We analyze four institutional criteria: professional legitimacy, viable clientele, entrepreneurial acumen, and occupational opportunities, as well as a more controversial fifth measure-political relevance. Drawing a comparison with the field of ecology, we argue that efforts to foster IE institutionally can, ironically, conflict with the objective of seeing IE become "the science and engineering of sustainability". The article concludes by reflecting on the importance of this kind of critical appraisal and on why many observers of the field remain hopeful.     

Interactive Visualization and Industrial Ecology: Applications,Challenges, and Opportunities

The emergence of increasingly complex data in industrial ecology (IE) has caused scholarly interest in interactive visualization (IV). IV allows users to interact with data, aiding in processing and interpreting complex datasets, processes, and simulations. Consequently, IV can help IE practitioners communicate the complexities of their methods and results, shed light on the underlying research assumptions, and enable more transparent monitoring of data quality and error. This can significantly increase the reach and impact of research, promote transparency, reproducibility, and open science, as well as improve the clarity and presentation of IE research. A review of current IV applications reveals that, while data exploration has received some attention among IE practitioners, IV applications in scientific communication are clearly lacking. With the help of a working example, we explore the value of IV, discuss its operationalization, and highlight challenges that the IE community must face during IV uptake. Such challenges include technical and knowledge limitations, limits on user interaction, and implementation strategies. With these challenges in mind, we outline key aspects needed to lift the IE field to the forefront of scientific communication in the coming years. Among these, we draft the basic principles of a “Hub for Interactive Visualization in Industrial Ecology” (HIVE), a point of encounter where IE practitioners could find an array of data visualization tools that are geared toward IE datasets. IV is here to stay, and its inceptive stage presents many opportunities to IE practitioners to shape its operationalization and benefit from early adoption.     

Industrial Ecology Education at Wuhan University

China requires industrial ecology (IE) skills and knowledge to deal with the contradiction between rapid economic growth and subsequent environmental pollution and resource depletion. Industrial ecology education was introduced in China in 1997 and now a few Chinese universities offer IE courses. Wuhan University is one of them and since 1999 has committed itself to promoting IE education. The university offers different curricula for different majors at all levels: undergraduate, master's, and doctoral. Between 1999 and 2004 more than 5,000 students received IE education at Wuhan University. Although inadequate human resources and a lack of relevant textbooks present challenges to further developing IE education in China, as more universities pay attention to IE, more courses will be developed. It is believed that IE education in China will blossom in the near future.     

Nullius in Verba1: Advancing Data Transparency in Industrial Ecology

With the growth of the field of industrial ecology (IE), research and results have increased significantly leading to a desire for better utilization of the accumulated data in more sophisticated analyses. This implies the need for greater transparency, accessibility, and reusability of IE data, paralleling the considerable momentum throughout the sciences. The Data Transparency Task Force (DTTF) was convened by the governing council of the International Society for Industrial Ecology in late 2016 to propose best‐practice guidelines and incentives for sharing data. In this article, the members of the DTTF present an overview of developments toward transparent and accessible data within the IE community and more broadly. We argue that increased transparency, accessibility, and reusability of IE data will enhance IE research by enabling more detailed and reproducible research, and also facilitate meta‐analyses. These benefits will make the results of IE work more timely. They will enable independent verification of results, thus increasing their credibility and quality. They will also make the uptake of IE research results easier within IE and in other fields as well as by decision makers and sustainability practitioners, thus increasing the overall relevance and impact of the field. Here, we present two initial actions intended to advance these goals: (1) a minimum publication requirement for IE research to be adopted by the Journal of Industrial Ecology; and (2) a system of optional data openness badges rewarding journal articles that contain transparent and accessible data. These actions will help the IE community to move toward data transparency and accessibility. We close with a discussion of potential future initiatives that could build on the minimum requirements and the data openness badge system.     

Postsecondary Education in Industrial Ecology Across the World

In recent years, industrial ecology (IE) has become increasingly integrated into formal education as a distinct body of work. The aim of this article is to describe the state of IE in postsecondary education across the world by providing an inventory of programs and courses offered from a search conducted during the summer of 2012. Although some interpretation of the results is conducted, the aim of this article is to provide a snapshot of the state of IE in higher education in 2012 and serve as a starting point for future work. Data were collected on IE courses and programs across the world by Internet search in order to determine the prevalence of IE in postsecondary curricula. Subsequently, 190 universities and colleges from 46 countries were identified as offering courses and/or programs in IE. From this research, a total of 409 courses and 78 programs were inventoried and course content was analyzed (where available). The results indicate that IE is mainly studied at the graduate level within engineering and environmental disciplines, although undergraduate‐level curricula are emerging. In terms of disciplinary departments offering said curricula, IE is presented as a topic of instruction in varied fields of study, such as business and administration, and the arts. From the course syllabi analyzed, the main subjects being taught within IE education are introductory principles and general tools. Advanced or specialized aspects of the field are also covered, however, less frequently.     

Common Misconceptions about Recycling

The recycling of material resources lies at the heart of the industrial ecology (IE) metaphor. The very notion of the industrial ecosystem is motivated by the idea that we should learn from natural ecosystems how to “close the loop.” Recycling is not just central to IE, it is part of everyday life. Unfortunately, how the IE community and the public at large think about recycling includes several misconceptions that have the potential to misguide environmental assessments, policies, and actions that deal with recycling and thus undermine its environmental potential. One misconception stems from naïve assumptions regarding recycled material displacing primary production. Two others assert the environmental advantages of recycling material multiple times, or at least in a closed loop. A final misconception is the assumption that the distinction between closed and open recycling loops is generally useful. This article explains why these misconceptions are flawed, discusses the implications, and presents an alternative set of principles to better harness the potential environmental benefits of closing material loops.     

A Spatial Analysis of Loop Closing Among Recycling,Remanufacturing, and Waste Treatment Firms in Texas

Industrial ecology has emerged as a key strategy for improving environmental conditions. A central element of industrial ecology is the concept of closing the loop in material use (cycling) by directing used material and products (wastes) back to production processes. This article examines the issue of geographic scale and loop closing for heterogeneous wastes through an analysis of the location and materials flows of a set of recycling, remanufacturing, recycling manufacturing, and waste treatment (RRWT) firms in Texas. The results suggest that there is no preferable scale at which loop closing should be organized. RRWT firms are ubiquitous and operate successfully throughout the settlement hierarchy. The cycling boundaries of RRWT firms are dependent primarily upon how and where their products are redirected to production processes rather than the firm's location in the settlement hierarchy. In other words, loop closing is dominated by the spatial economic logic of the transactions of the firm involved. These results suggest that we cannot assign loop closing to any particular spatial scale a priori nor can we conceive of closing the loop via RRWT firms in terms of monolithic networks bounded in space or place with internal material flows.     

Global Material Flows and Resource Productivity: Forty Years of Evidence

The international industrial ecology (IE) research community and United Nations (UN) Environment have, for the first time, agreed on an authoritative and comprehensive data set for global material extraction and trade covering 40 years of global economic activity and natural resource use. This new data set is becoming the standard information source for decision making at the UN in the context of the post‐2015 development agenda, which acknowledges the strong links between sustainable natural resource management, economic prosperity, and human well‐being. Only if economic growth and human development can become substantially decoupled from accelerating material use, waste, and emissions can the tensions inherent in the Sustainable Development Goals be resolved and inclusive human development be achieved. In this paper, we summarize the key findings of the assessment study to make the IE research community aware of this new global research resource. The global results show a massive increase in materials extraction from 22 billion tonnes (Bt) in 1970 to 70 Bt in 2010, and an acceleration in material extraction since 2000. This acceleration has occurred at a time when global population growth has slowed and global economic growth has stalled. The global surge in material extraction has been driven by growing wealth and consumption and accelerating trade. A material footprint perspective shows that demand for materials has grown even in the wealthiest parts of the world. Low‐income countries have benefited least from growing global resource availability and have continued to deliver primary materials to high‐income countries while experiencing few improvements in their domestic material living standards. Material efficiency, the amount of primary materials required per unit of economic activity, has declined since around 2000 because of a shift of global production from very material‐efficient economies to less‐efficient ones. This global trend of recoupling economic activity with material use, driven by industrialization and urbanization in the global South, most notably Asia, has negative impacts on a suite of environmental and social issues, including natural resource depletion, climate change, loss of biodiversity, and uneven economic development. This research is a good example of the IE research community providing information for evidence‐based policy making on the global stage and testament to the growing importance of IE research in achieving global sustainable development.     

Industrial Ecology Education at Tsinghua University

As a leading university in engineering education in China, Tsinghua University implemented industrial ecology (IE) education in the 1990s. This article describes the evolution of IE education at Tsinghua. Tsinghua mainstreams IE education into green education and engineering education not only by establishing independent courses of IE for both undergraduate and graduate students, but also by incorporating IE principles and knowledge modules into an increasing number of courses. During 2002–2015, a total of 1,023 undergraduates from 33 schools and departments participated in an IE course. To cope with the diversity of participants, four knowledge modules were customized for an undergraduate course: concepts and history; methods and tools; topics and applications; and policy and perspectives. Meanwhile, an interdisciplinary teaching method was adopted by inviting experts from diverse disciplines and organizing group discussions. Though the course has received strong positive feedback, four challenges still remain in IE education: defining the knowledge boundary, presenting an integrated view, utilizing an interdisciplinary methodology, and cultivating a class culture.     

基于GIS的产业生态学研究述评

产业生态学由于缺少关于空间分析的工具,使得研究结果因缺乏空间维度信息而影响对管理效率和精准度的支持。基于GIS的产业生态学相关研究已成为产业生态学研究的一个新的方向。为总结已有的研究成果并展望未来的研究方向,运用文献计量及对比分析的手段,系统分析了国内外基于GIS的产业生态学的相关研究进展,得出以下结论:当前基于GIS的产业生态研究主要集中在物质代谢、产业共生和生命周期评价3个方面,将GIS技术引入到物质代谢研究中,可以更好的展示物质代谢的时空分布格局,为物质代谢研究提供了一种新的方法;基于GIS技术,不仅可以更加高效地挖掘潜在的产业共生机会,还可应用于生态产业园的规划管理如企业的选址、空间布局等以及废弃物的回收再利用方面;将GIS与LCA耦合在一起,可以很好地补充、完善和管理传统数据,有助于探索产品、活动或工艺的环境影响的空间特性以及进行土地利用相关的环境影响评价。另外,国内外研究的侧重点也不尽相同。在物质代谢研究中,国内研究较少,仅在城市尺度上进行了基础设施的物质代谢及其存量分析,国外在国家、城市尺度上研究了铜、锌等金属的物质代谢情况;在产业共生研究中,国内侧重于生态产业园的研究,而国外侧重于城市尺度的产业共生机会识别的研究;在LCA的研究中,国内开展了基于GIS的生命周期评价数据库和产品材料信息管理系统的研究,而国外侧重于进行区域化的生命周期评价、进行土地利用影响类型的相关评价以及污染物的追踪,国内在该方面尚处于起步阶段。国内外在研究方法上存在共性,都是基于GIS的空间分析方法、缓冲区分析方法以及数据库技术等。未来将GIS作为一个平台,面向产业转型展开产业生态学综合理论方法的研究,可以为产业的可持续性管理提供有效支持。     

Industrial Recycling Networks as Starting Points for Broader Sustainability‐Oriented Cooperation?

Closing loops by intercompany recycling of by‐products is a core theme of industrial ecology (IE). This article considers whether industrial recycling networks or industrial symbiosis projects can be used as a starting point for much broader intercompany cooperation for sustainable development. Evidence presented is based on the results of an empirical investigation of the recycling network Styria in Austria, the recycling network Oldenburger Münsterland in Germany, and the manufacturing sector in Austria. Statistical analysis shows that the percentage of by‐products that are passed on to other companies for recycling purposes is not higher in member companies of the recycling networks than in the other companies of the manufacturing sector in Austria. In terms of cooperation, the relationships with the respective recycling partners are found to be very similar to regular customer relations. Furthermore, the companies of the recycling networks remain unaware of the network to which they belong. Instead, one of the main findings of this study is that intercompany recycling activities are regarded by the company representatives as bilateral market transactions, not as collaborative network activities. This has potentially significant implications for the use of industrial symbiosis networks as starting points for sustainability networks with broader cooperation toward sustainability. The findings raise interesting questions as to whether such broader cooperation might result from a conscious planning process or might emerge largely spontaneously as part of normal market coordination. In any case, intercompany recycling is clearly considered to be a very important field of collaborative action for sustainability in industry.     

Breathing life into climate change adaptation

The exploration of evolutionary biology and biological adaptation can inform society's adaptation to climate change, particularly the mechanisms that bring about adaptability, such as phenotypic plasticity, epigenetics, and horizontal gene transfer. Learning from unplanned autonomous biological adaptation may be considered undesirable and incompatible with human endeavor. However, it is argued that there is no need for agency, and planned adaptation is not necessarily preferable over autonomous adaptation. What matters is the efficacy of adaptive mechanisms and their capacity to increase societal resilience to current and future impacts. In addition, there is great scope for industrial ecology (IE) to contribute approaches to climate change adaptation that generate system models and baseline data to inform decision making. The problem of “uncertainty” was chosen as an example of a challenge that is shared by biological systems, IE, and climate change adaptation to show how biological adaptation might contribute solutions. Finally, the Coastal Climate Adaptation Decision Support tool was used to demonstrate how IE and biological adaptation approaches may be mainstreamed in climate change adaptation planning and practice. In conclusion, there is close conceptual alignment between evolutionary biology and IE. The integration of biological adaptation thinking can enrich IE, add new perspectives to climate change adaptation science, and support IE's engagement with climate change adaptation. There should be no major obstacles regarding the collaboration of industrial ecologists with the climate change adaptation community, but mainstreaming of biological adaptation solutions depends greatly on successful knowledge transfer and the engagement of open‐minded and informed adaptation stakeholders.     

作为共享城市景观的滨水工业遗产改造策略——以苏州河为例

滨水工业遗产既是遗产,也是城市景观。从滨水工业遗产的空间形态出发,探讨城市景观的共享性,提出滨水工业遗产改造的3个特征和共享的5个特性。对上海苏州河两岸工业遗产更新案例进行分析,认为其共享性有待提升。并指出以共享为导向的滨水工业遗产改造,将对城市景观的发展做出新的引领和呈现     

Industrial Ecology and Ecological Engineering

Ecological engineering (EE) and industrial ecology (IE) strive to balance humanity's activities with nature. The disciplines have emerged separately but share theoretical foundations and philosophies on how to address today's complex environmental issues. Although EE and IE share motive, goals, theories, and philosophies, there are many differences. These similarities and differences may make for a strong symbiotic relationship between the two fields. The goals of this article are (1) to compare and contrast the two fields to identify opportunities for collaboration and integration and (2) to suggest three cross-disciplinary focal areas that bridge EE and IE.
The first symbiotic area, ecosystem engineering for byproduct recovery, is defined as the design, creation, and management of living ecosystems (e.g., forests, wetlands) that utilize the by-products of industrial systems. Examples of this exist, including constructed wetlands for lead recovery and phyto-mining of nickel tailings. The second symbiotic focus is entitled "ecosystem analogues for industrial ecology", which fits with a founding principle of IE to strive to have industry emulate the energy efficiencies and material cycles of natural ecosystems. This focal area quantifies the ecological analogy and exploits the tremendous library of design alternatives that nature has developed over thousands of years to deal with varied resource situations. The third focal area is termed "eco-system information engineering." The means by which living ecosystems have created robust knowledge systems and information cycles should be understood in terms useful for managing current society's information explosion. As industrial society evolves toward the information society, holistic models are needed that account for the available energy and material resources required to operate effective information ecosystems, such as service industries.     

山东省工业生态系统多样性

工业多样性是工业生态学关注和研究的重点,但其含义复杂,指标多种多样。选择了13个工业多样性指标,包括直接从生物多样性指数移植过来的4个指数,和根据特定目的专门构造出来的9个指数,以山东省140个县级行政单位2010年的四位码产业类型工业总产值和企业个数为统计单位,分析了山东省工业生态系统多样性的空间分布格局;采用探索性空间数据分析方法,解析了各县之间工业生态系统多样性的空间关联性。研究发现,13个工业多样性指标对山东省140个县的排序结果基本一致;2010年山东省各县工业发展很不平衡,不同县域工业发展水平有明显的差异,工业多样性高的县主要分布在青岛市、淄博市、烟台市、潍坊市、威海市、济南市、德州市、济宁市、临沂市、泰安市、枣庄市等11个地级市;各县之间工业多样性整体上表现为显著正相关的空间格局,即空间相似值的聚集分布,且以高-高聚集分布的县为主,呈现工业发展高地和洼地这种两极分化现象,其中工业发展核心区的县主要分布在青岛市、淄博市、泰安市、济南市、威海市、烟台市,工业发展洼地的县主要分布在滨州市、青岛市、枣庄市和东营市。此外,日照市、菏泽市、枣庄市存在工业发展不均衡的地区,与周边县的工业多样性空间差异较大。     

产业集聚对雾霾污染与生态效率的非线性影响及溢出效应

新常态背景下，"降霾增效"是促进城市协调可持续发展的重要保障。基于2008-2017年我国269个地级市面板数据，利用ArcGIS空间分析、EBM-DEA、空间杜宾等模型，探究雾霾污染与生态效率的时空演化格局及产业集聚对其非线性影响及空间溢出效应。结果显示：（1）我国城市雾霾污染具有"块状"与"集群分布"特征，并呈现以京津冀城市群为中心的"核心-边缘"扩散模式；城市生态效率呈东部 > 中部 > 西部依次递减态势，其H-H型城市主要分布在东部沿海地区；（2）产业集聚是"双刃剑"，其对雾霾污染与生态效率的影响存在显著的"U"型关系，即产业集聚每提升1%，雾霾污染和生态效率相应降低0.1388%和0.1409%，产业集聚平方项每提升1%则相应提升0.0188%和0.0113%；（3）产业集聚进一步提升对本地与邻近城市的雾霾污染具有较强的正向空间溢出效应，地方政府应采取联防联控的污染治理策略，构建长效环境治理合作机制；（4）产业集聚规模对雾霾污染和生态效率的影响表现出一定的区域异质性，应设计差异化的产业发展策略，为城市"降霾增效"提供支撑；通过重构权重矩阵、替换核心解释变量与设置滞后变量，证明了上述主要结论的稳健性。当前我国正处于工业文明向生态文明转换的关键阶段，期望本研究能为区域可持续发展提供参考。