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.     

Consumer Attitudes Toward Animal Welfare-Friendly Products and Willingness to Pay: Exploration of Mexican Market Segments

The study aim was to identify consumer segmentation based on nonhuman animal welfare (AW) attitudes and their relationship with demographic features and willingness to pay (WTP) for welfare-friendly products (WFP) in Mexico. Personal interviews were conducted with 843 Mexican consumers who stated they purchased most of the animal products in their home. Respondents were selected using a quota sampling method with age, gender, education, and origin as quota control variables. The multivariate analysis suggested there were three clusters or consumer profiles labeled “skeptical,” “concerned,” and “ethical,” which helped explain the association between AW attitudes, some demographic variables, and WTP for WFP. This study is one of the first to address consumer profiling in Latin America, and the findings could have implications for the commercialization of WFP. Hence, customers should receive information to consider welfare innovations when deciding to purchase animal products. The growth of the WFP food market establishes an element of a far more multifaceted phenomenon of sustainable consumption and support of a new paradigm called responsible marketing in emerging markets such as Mexico.     

The Influence of State‐Ownership on Eco‐Innovations in Russian Manufacturing Firms

This paper studies drivers for eco‐innovation in Russian manufacturing firms on a sample of 2,212 innovative firms, of which over 600 introduced eco‐innovations. The companies in our sample specifically mention environmental regulation as a reason for engaging in eco‐innovations. Furthermore, we show that those firms who engage in eco‐innovations are motivated even stronger by the desire to increase resource efficiency. Companies under state ownership are especially prone to a higher likelihood to invest. We conclude that regulations are mostly relevant to the late comers who are obliged to follow minimum standards. On the other hand, the state uses its controlling influence to press companies under their control to exceed these minimum standards. Thus, we argue, state ownership does indeed have an influence on both the likelihood to eco‐innovate and on the levels of spending. Eco‐innovative state‐owned companies are only prone to invest in eco‐innovations, if they get additional money.     

Industrial Ecosystems and Food Webs: An Expansion and Update of Existing Data for Eco‐Industrial Parks and Understanding the Ecological Food Webs They Wish to Mimic

Cyclical industrial networks are becoming highly desirable for their efficient use of resources and capital. Progress toward this ideal can be enhanced by mimicking the structure of naturally sustainable ecological food webs (FWs). The structures of cyclic industrial networks, sometimes known as eco‐industrial parks (EIPs), are compared to FWs using a variety of important structural ecological parameters. This comparison uses a comprehensive data set of 144 FWs that provides a more ecologically correct understanding of how FWs are organized than previous efforts. In conjunction, an expanded data set of 48 EIPs gives new insights into similarities and differences between the two network types. The new information shows that, at best, current EIPs are most similar to those FWs that lack the components that create a biologically desirable cyclical structure. We propose that FWs collected from 1993 onward should be used in comparisons with EIPs, given that these networks are much more likely to include important network functions that directly affect the structure. We also propose that the metrics used in an ecological analysis of EIPs be calculated from an FW matrix, as opposed to a community matrix, which, to this point, has been widely used. These new insights into the design of ecologically inspired industrial networks clarify the path toward superior material and energy cycling for environmental and financial success.     

Barriers to Promoting Eco‐Industrial Parks Development in China

For at least the past two decades, eco‐industrial parks (EIPs) have been promoted as policy and commercial instruments for achieving industrial sustainable development. Yet, few EIPs have seen successful operational implementation, especially if they begin as standard industrial parks. Rapid economic growth, commensurate with increasing environmental damage in China, has resulted in officials’ further pursuing EIP policy as a significant element of the broader circular economy and ecological modernization efforts. This article examines the barriers for EIP development from industrial park senior manager perspectives. Using resource dependence theory and the resource‐based view as theoretical lenses, we investigate the external and internal barriers for EIP development in 51 Chinese industrial parks. A number of barriers are identified and grouped through a factor analysis. Cluster analysis is utilized to help categorize and evaluate the perceived levels of barriers and hardships experienced by various senior officials that manage the EIPs. It is found that few respondents encounter no significant barriers. Barriers related to technological development and capacity building are the most prevalent. These results highlight the relative importance of various activities that may be necessary by policy makers and other stakeholders to overcome the barriers. For example, cooperation in developing technological solutions for EIPs seems to be a major thrust that should be pursued by EIP development stakeholders. Other policy and managerial insights based on the general findings of this study are also presented.     

Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks

Models of eco‐industrial parks (EIPs) might help us transform our production systems by fostering the emergence of sustainable EIPs since such models have the potential to support the decision‐making processes of cooperative companies that participate and to decrease operational uncertainties. In this article, a conceptual framework for modeling the operation of EIPs is presented. The framework is underpinned by complex adaptive systems theory, industrial ecology, and an analysis of the experiences of existing EIPs. The proposed framework draws on the observed strengths of two types of industrial symbiosis models—planned eco‐industrial parks (PEIPs) and EIPs that developed through self‐organizing symbiosis (SOS)—as well as their observed weaknesses and the features of complex adaptive systems. From this analysis, five key properties to be modeled are deduced: functionality, reliability, life span, theoretical knowledge, and adaptability. It is proposed that the properties of functionality and theoretical knowledge are determined by the goals of the EIP and its member companies, while the property of adaptability is determined by the understanding that the companies in an EIP have of the environment surrounding the EIP, while the properties of reliability and life span are determined by the internal and external relationships of the companies that make up an EIP.     

Developing Markets for Certified Wood Products: Greening the Supply Chain for Construction Materials

A growing worldwide movement is seeking to promote the greening of the construction sector. At the design level, proponents of frameworks such as LEED (Leadership in Energy and Environmental Design) seek to motivate designers and building owners to employ environmentally desirable materials. A prominent component of this approach is boosting availability of “green” building materials through programs that will certify to buyers that materials meet environmental standards. For wood products, this has resulted in several forms of “green certification” for forest management. Increasingly large areas of forest are now being certified worldwide. Yet it remains difficult for designers of green buildings, or consumers seeking green furniture, to obtain certified wood products. Many, if not most, of the logs now being harvested on green certified forest land worldwide are not reaching the store shelf with a certified label. Marketing certified wood all the way to the retail shelf has proved to be much harder than initially thought by proponents of certified products. This article explains the sources of these difficulties and outlines an approach to identifying products with high potential for marketing as certified products. Because of complex, multilevel supply chains for many wood products, support is required at all processing and distribution levels for a product to reach the retail customer with its green label. Market participants' purchase size and frequency, basis for product selection, buying influences, and price sensitivity are evaluated to identify product and market approaches likely to increase success rates for certified wood products. The article concludes with recommendations for expanding markets for green building materials.     

Scaling‐Up of Industrial Symbiosis in the Korean National Eco‐Industrial Park Program: Examining Its Evolution over the 10 Years between 2005–2014

In 2005, South Korea initiated the 15‐year National Eco‐Industrial Park Development Program in three stages to gradually transform aged industrial complexes into eco‐industrial parks (EIPs) by promoting industrial symbiosis (IS). Building upon the pilot experiences from the first 5 years, the second phase of the program focused on the scaling‐up of IS at a broader regional level. Key scaling‐up strategies included the expansion of target areas by connecting multiple industrial complexes, the standardization of processes and dissemination of learning, and the development of large‐scale projects that could contribute to the regional development. In this study, we examined the evolution of IS over the last 10 years between 2005 and 2014, primarily to understand the characteristics and impact of these scaling‐up strategies. Our findings showed that the scale of IS in the second phase had increased in various aspects in comparison to that in the first phase. The number of operating projects had increased from 52 to 159, the number of participating firms increased from 90 to 596, and the average distance of IS increased from 40 to 48 kilometers. The size of economic and environmental benefits also increased along with an increase in the private investment and government research funding. We further analyzed the role of the regional EIP centers as facilitators, how their activities influenced the scaling‐up of IS, and discussed the characteristics of the Korea's approach to IS.     

Eco‐oncology: Applying ecological principles to understand and manage cancer

Cancer is a disease of single cells that expresses itself at the population level. The striking similarities between initiation and growth of tumors and dynamics of biological populations, and between metastasis and ecological invasion and community dynamics suggest that oncology can benefit from an ecological perspective to improve our understanding of cancer biology. Tumors can be viewed as complex, adaptive, and evolving systems as they are spatially and temporally heterogeneous, continually interacting with each other and with the microenvironment and evolving to increase the fitness of the cancer cells. We argue that an eco‐evolutionary perspective is essential to understand cancer biology better. Furthermore, we suggest that ecologically informed therapeutic approaches that combine standard of care treatments with strategies aimed at decreasing the evolutionary potential and fitness of neoplastic cells, such as disrupting cell‐to‐cell communication and cooperation, and preventing successful colonization of distant organs by migrating cancer cells, may be effective in managing cancer as a chronic condition.     

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.     

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‐evolutionary partitioning metrics: assessing the importance of ecological and evolutionary contributions to population and community change

Interest in eco‐evolutionary dynamics is rapidly increasing thanks to ground‐breaking research indicating that evolution can occur rapidly and can alter the outcome of ecological processes. A key challenge in this sub‐discipline is establishing how important the contribution of evolutionary and ecological processes and their interactions are to observed shifts in population and community characteristics. Although a variety of metrics to separate and quantify the effects of evolutionary and ecological contributions to observed trait changes have been used, they often allocate fractions of observed changes to ecology and evolution in different ways. We used a mathematical and numerical comparison of two commonly used frameworks – the Price equation and reaction norms – to reveal that the Price equation cannot partition genetic from non‐genetic trait change within lineages, whereas the reaction norm approach cannot partition among‐ from within‐lineage trait change. We developed a new metric that combines the strengths of both Price‐based and reaction norm metrics, extended all metrics to analyse community change and also incorporated extinction and colonisation of species in these metrics. Depending on whether our new metric is applied to populations or communities, it can correctly separate intraspecific, interspecific, evolutionary, non‐evolutionary and interacting eco‐evolutionary contributions to trait change.     

An Approach for Calculating the Environmental External Costs of the Belgian Building Sector

This article describes an approach developed to estimate the environmental external costs of the Belgian building sector. Several existing methods and related data sets for determining the monetary value of environmental impacts were reviewed and compared in light of their relevance to an impact assessment of the construction sector. This study concludes that the methods available consider different impacts and differ substantially in monetary values for identical impacts. A harmonized and transparent method is recommended to improve the feasibility and acceptance of internalizing external costs; agreement on the impacts to be assessed and their external costs based on current insights is important. Here, a new method is proposed for a life cycle impact assessment‐based valuation of environmental external costs for application to the Belgian building sector. To enable a comprehensive assessment, it became clear that solely considering “key” pollutants is insufficient. Although this article focuses on the development and not on the implementation of the method proposed, implementation revealed that the life cycle environmental external cost of new buildings (meeting current insulation standards or better) is relatively small compared to the life cycle financial cost.     

Nestedness of eco‐industrial networks: Exploring linkage distribution to promote sustainable industrial growth

Eco‐industrial networks (EINs, of which eco‐industrial parks are a subset) have gained support as a solution that simultaneously reduces environmental burdens and promotes economic interests. EINs operate under a mutualistic framework, where waste materials and energy are exchanged between industries to their mutual benefit, creating a diverse web of flows. Recent studies have focused on analogies between food webs (FWs) and EINs, measuring a network's success at ecological imitation as representative of its sustainability. Studies have focused heavily on the number of links and nodes in a network, but have neglected the economic reality that each investment comes at the opportunity cost of all alternatives. This analysis focuses on the nestedness metric as used by ecologists to address this pivotal facet to the FW‐EIN analogy. Nestedness describes an ecological strategy for the position of links between nodes in a network in a way that maximizes network cycling for a given number of connections. This metric presents many advantages for EIN design and analysis, including maturity independence, size normalization, and a strong statistical record in highly mutualistic ecological systems. Application of nestedness to EINs indicates a lower presence of nested structures and more randomness than what is typically seen in FWs. The industrial networks also display a correlation between high nestedness and internal cycles, suggesting that the reuse of materials and energy in EINs can be improved upon by increasing the nestedness of structures.     

Longitudinal Analysis of the Eco‐Design Management Standardization Process in Furniture Companies

This article discusses how eco‐design management standards have been adopted and the environmental and economic results that have been obtained by the Spanish furniture manufacturers. This is precisely the industry sector in Spain where the dissemination of eco‐design standards has been most important. Using multiple case‐study methodology, the research has shown that, in three companies, more than 90% of the environmental impact of the companies’ products occurs within the manufacturing phase. Companies have implemented tools for life cycle assessment with eco‐indicators values that allow them to assess complex products and evaluate their significant environmental impacts at each stage. The environmental strategies of these companies are based on the continuous improvement of the internal processes and the review and monitoring of their activities. In this approach, the proper choice of materials and the environmental management of the supply chain are the main problems for companies. The outcomes achieved by the companies included some improvements, such as a greater control of product management and a reduction in operating costs, that have allowed them to obtain competitive advantages. Moreover, the adoption of standard management has enabled the companies to drive innovation of products, improve the image of companies and their products, significantly reduce the environmental impact of their products, and adapt to new, more demanding environmental laws and regulations.     

The Power of Association: Its Impact on Willingness to Buy GM Food

Affect, associations, and images associated with food technologies may be important factors influencing consumers’ perception of and willingness to accept new food technologies. The aim of the present study was to investigate free associations evoked by the term “biotechnology” and how they influence behavior. Therefore, participants (N = 632) were asked to name three associations they had in mind when confronted with the term “biotechnology.” After that, respondents indicated how positive or how negative these associations were. Additionally, an equivalent gain task was used to measure participants’ behavioral intentions related to genetically modified (GM) chocolate. Results of a log-linear analysis and a correspondence analysis suggest that attitudes toward biotechnology result in a wide range of associations. Participants having negative attitudes mentioned images related to the environment and industry more often compared with participants having positive attitudes. Results of the equivalent gain task show that willingness to buy GM chocolate can be predicted by the subjects’ three reported associations (p < .001), as well as by their gender (p = .003). The model explains 33.5% of the variance. Affect related to people's associations with gene technology strongly influenced their acceptance of GM foods.     

Environmental Impact Assessment of the Heterogeneity in Consumers’ Usage Behavior: An Agent‐Based Modeling Approach

The aim of this study is to develop a framework for understanding the heterogeneity and uncertainties present in the usage phase of the product life cycle through utilizing the capabilities of an agent‐based modeling (ABM) technique. An ABM framework is presented to model consumers’ daily product usage decisions and to assess the corresponding electricity consumption patterns. The theory of planned behavior (TPB), with the addition of the habit construct, is used to model agents’ decision‐making criteria. A case study is presented on the power management behavior of personal computer users and the possible benefits of using smart metering and feedback systems. The results of the simulation demonstrate that the utilization of smart metering and feedback systems can promote the energy conservation behaviors and reduce the total PC electricity consumption of households by 20%.     

Uncertainty Quantification in Life Cycle Assessments: Interindividual Variability and Sensitivity Analysis in LCA of Air‐Conditioning Systems

The life cycle environmental profile of energy‐consuming products, such as air conditioning, is dominated by the products’ use phase. Different user behavior patterns can therefore yield large differences in the results of a cradle‐to‐grave assessment. Although this variation and uncertainty is increasingly recognized, it remains often poorly characterized in life cycle assessment (LCA) studies. Today, pervasive sensing presents the opportunity to collect rich data sets and improve profiling of use‐phase parameters, in turn facilitating quantification and reduction of this uncertainty in LCA. This study examined the case of energy use in building cooling systems, focusing on global warming potential (GWP) as the impact category. In Singapore, building cooling systems or air conditioning consumes up to 37% of national electricity demand. Lack of consideration of variation in use‐phase interaction leads to the oversized designs, wasted energy, and therefore reducible GWP. Using a high‐resolution data set derived from sensor observations, energy use and behavior patterns of single‐office occupants were characterized by probabilistic distributions. The interindividual variability and use‐phase variables were propagated in a stochastic model for the life cycle of air‐conditioning systems and simulated by way of Monte Carlo analysis. Analysis of the generated uncertainties identified plausible reductions in global warming impact through modifying user interaction. Designers concerned about the environmental profile of their products or systems need better representation of the underlying variability in use‐phase data to evaluate the impact. This study suggests that data can be reliably provided and incorporated into the life cycle by proliferation of pervasive sensing, which can only continue to benefit future LCA.     

Environmental Assessment of Refuse‐Derived Fuel Co‐Combustion in a Coal‐Fired Power Plant

Municipal residual waste (RW) produced in the Venice area undergoes mechanical‐biological treatment (MBT) in the Fusina plant to produce refuse‐derived fuel (RDF) that is then co‐combusted in a nearby coal‐fired power station. Being the first significant project for RDF co‐firing in power plants in Italy, a number of different testing phases were performed starting in 2003, aimed at evaluating differences between so‐called blank operation (i.e., with only coal feeding) and RDF co‐firing at different feeding rates. The analysis of data gathered during the industrial experimentation shows a savings of 0.7 tonnes (t) of coal per each tonne of co‐fired RDF; stack concentrations of some pollutants (hydrochloric acid [HCl], ammonia [NH₃], carbon monoxide [CO], chromium [Cr], and lead [Pb]) appear slightly higher during co‐combustion compared with blank operation, whereas concentrations of dust, sulfur oxides (SOx), and some metals (manganese [Mn], nickel [Ni], vanadium [V]) are lower. To assess the overall environmental performance of this practice, a life cycle assessment (LCA) study was then performed, where different strategies of energy recovery from RW were compared: production of RDF and its co‐combustion in the Fusina power plant, RW combustion without any pretreatment in a mass‐burn waste‐to‐energy (WTE) plant, and production of RDF and its combustion in a dedicated WTE plant. The LCA results show that co‐combustion of RDF performs better than the other strategies for all impact categories evaluated. The only exception is when the WTE plant operates in combined heat and power mode, with very high overall conversion efficiencies.     

Environmental Implications and Costs of Municipal Solid Waste‐Derived Ethylene

Carbon recycling, in which organic waste is recycled into chemical feedstock for material production, may provide benefits in resource efficiency and a more cyclical economy—but may also create “trade‐offs” in increased impacts elsewhere. We investigate the system‐wide environmental burdens and cost associated with carbon recycling routes capable of converting municipal solid waste (MSW) by gasification and Fischer‐Tropsch synthesis into ethylene. Results are compared to business‐as‐usual (BAU) cases in which ethylene is derived from fossil resources and waste is either landfilled with methane and energy recovery (BAU#1) or incinerated (BAU#2) with energy recovery. Monte Carlo and sensitivity analysis is used to assess uncertainties of the results. Results indicate that carbon recycling may lead to a reduction in cumulative energy demand (CED), total material requirement (TMR), and acidification, when compared to BAU#1. Global warming potential is found to be similar or slightly lower than BAU#1 and BAU#2. In comparison to BAU#2, carbon recycling results in higher CED, TMR, acidification, and smog potential, mainly as a result of larger (fossil‐based) energy offsets from energy recovery. However, if a renewable power mix (envisioned for the future) is assumed to be offset, BAU#2 impacts may be similar or higher than carbon recycling routes. Production cost per kilogram (kg) MSW‐derived ethylene range between US$1.85 and US$2.06 (Jan 2011 US$). This compares to US$1.17 per kg for fossil‐based ethylene. Waste‐derived ethylene breaks even with its fossil‐based counterpart at a tipping fee of roughly US$42 per metric ton of waste feedstock.