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To solve the increasingly serious air pollution problem, regional air pollution collaborative governance as an effective way is introduced in this paper. Firstly, this study constructs a game model of regional air pollution collaborative governance, and three classic cost sharing methods are used to allocate the cost of air pollution governance; Then the emission reduction cost of regional cooperative governance is obtained; Finally, the study makes an empirical analysis on the cost sharing of SO2 emission reduction by four local governments of the Yangtze River Delta region in 2017. The results show that: (i) The emission reduction cost of regional cooperative governance is better than that of individual governance, and in 2017 the cost of SO2 cooperative governance in Yangtze River Delta region is reduced by about 1.8% compared with the individual governance; (ii) The Shapley value method is utilized to allocate the benefits of the cooperative SO2 governance of four provinces in the Yangtze River Delta region, which indicates that all local governments can obtain certain profits from this cooperation and the cooperative alliance is stable; (iii) Collaborative governance of regional air pollution can meet the requirements of both collective rationality and individual rationality at the same time.

Environmental licensing is a command-and-control (CC) instrument used at the state level in Brazil to enforce compliance with legal requirements and environmental standards; however, it does not encourage continuous improvement. The objective of this paper is to propose a methodology that can be used as a licensing and monitoring policy for industrial activities, based on both command and control and economic instruments. Therefore, the development of a matrix to measure the environmental performance of companies is proposed so as to include mandatory compliance requirements, environmental management requirements and continuous improvement indicators. Performance assessment could be used by the environmental agency as a tool to support environmental management policy change by working with environmental incentives for better-performing companies. The results obtained with the matrix will demonstrate exactly what the theory describes: in an environment where the control imposed to the entrepreneur is by the attendance of a legislative standard and not the demonstration of continuous improvement, there is no evolution of the environmental performance over the 3-year period of the companies. Consequently, the inclusion of a tool to assess environmental performance constitutes a requirement for the environmental evolution of the country.

Networks are increasingly popular in dealing with dynamic and complex environmental policy issues, including pollution control and abatement, which require solutions for collaborative and innovative actions involving multiple institutions or entities. Effective network implementation produces better environmental policy outcomes, but little is known about how to improve network implementation. Framed in the network implementation capacity-building approach, this study examines what strategies are adopted by network administrators to improve implementation, and how these strategies work. Evidence from two environmental financing networks in China shows that strategies designed to mobilize resources and maintain network long-term stability improve network implementation. We call for a research agenda that emphasizes network implementation capacity-building in emerging economies where collaborative activities are desired to pool resources and expertise in face of resource shortage and daunting environmental challenges.

The introduction of effective solid waste management strategies in developing countries should be considered for improving sustainability at global level. Many barriers should be overcome, concerning the introduction of environmental policies, effective investments, social inclusion and public awareness, which are significant issues in low-middle income countries. The Circular Economy could represent the answer for improving current solid waste management activities worldwide, since denote the principle of waste valorization and recycling for boosting developing economies. This paper is focused on this theme, analyzing main opportunities for improving the current state of solid waste management in developing big cities. The solid waste management of two countries are reviewed: Romania is the emerging country where Circular Economy is becoming a future objective due to economic aids and strength regulations which the European Union (EU) established for the nations forming parts the alliance; as a comparison, Bolivia is reported for evaluating main differences founded for developing recycling systems in a no-EU country. These two case studies could be of interest for highlighting main pros and cons of the participation into a wide organization like the EU for introducing in short terms Circular Economy principles. Moreover, a theoretical Circular Economy model for developing big cities in low-middle income countries is described within the study for effectively comparing which chances can spread for these countries as regard municipal solid waste exploitation. Despite the economic level, Romania and Bolivia are both facing with many solid waste management issues although in different magnitude. For the Romanian case study, it is visible how it cannot achieve the European goals for 2020 due the need of change in public recycling behavior. Bolivia, instead, represents the case where international aids and new investments are required, considering the informal sector into the formal management system as a real opportunity for improving local recycling rate. In conclusion, the comparison suggests how external supports led to implement the principles of the Circular Economy within a developing region. The model of Circular Economy proposed is recommended for developing big cities in order to advance a new form of safe employment, encouraging the activities that are still in action (i.e. informal sector) and boosting the principles of sustainable development.

The aim of this study is to examine the transformative capacity of top-down imposed collaborative institutions on participants' beliefs and coordination patterns. First, do collaborative arenas enhance learning in terms of belief change and belief convergence among participating actors? Second, what types of beliefs are changed and, third, how are changes in beliefs reflected in the formation of coalitions? To answer these questions, a longitudinal study encompassing three collaborative decision-making arenas in the highly adversarial system for wildlife management in Sweden is performed. The empirical analysis indicates both stability and change within the new management system that confirms, as well as challenges, the theoretical assumptions guiding the analysis. While beliefs overall are rather stable, we note, surprisingly, how some participants' more normatively oriented policy core beliefs have been slightly modified over time. A more expected result was that these adjustments in normative policy core beliefs were accompanied by a reformed coalition structure within the studied decision-making arenas. The study contributes to our understandings of policy beliefs and coalitions in conflicted policy areas; it underlines the mixed results of collaborative institutions found in previous research; yet, lends a modest support in favor of the transformative capacity of collaborative institutions.

In 1951, the Japanese government introduced a vehicle safety inspection system and this system has an effect of shortening the 'economic' lifetimes of automobiles and increasing CO2 emissions associated with vehicle life-cycle. This study develops an integrated assessment framework by combining dynamic discrete choice analysis with life-cycle environmental accounting analysis based on a dynamic stock model. From the empirical results, we found that (1) the economic lifetime of a Prius in the benchmark model is surprisingly short, 5.07 years, due to the strict car inspection system, and this replacement cycle has contributed to increasing CO2 over time; and (2) abolishing car inspections at the third and fifth years would considerably contribute to reducing life-cycle CO2 emissions associated with Prius sold during the study period, 1997 to 2016, accounting for approximately one million tons-CO2 eq. over 20 years. Thus, we conclude that modifying the regulation policy with a focus on the car inspection system to induce car owners to keep their automobiles longer would have environmental benefits.

To direct financial resources to cleaner production enterprises and achieve the goal of environmental governance, the Chinese government has devoted increasing efforts to facilitating green finance. As one of the major policies of green finance, the Green Credit Policy (GCP) was issued in 2012. Evaluating whether the GCP can promote green development has important significance, but few studies have explored its policy effects for the investment and financing behavior of "two high" (high energy consumption and high pollution) enterprises and environmental quality from both micro and macro perspectives. Taking the promulgation of the GCP as a quasi-natural experiment, based on a panel dataset involving 945 A-share listed companies and 30 provinces for the period of 2004-2017, this paper adopts the difference-in-difference model to explore the investment and financing behavior changes of enterprises and environmental impacts of the GCP. The following conclusions are derived. (1) The GCP provides incentives for the short-term financing behavior of "two high" enterprises, but it has a punitive effect in the long term and significantly inhibits the investment behavior of such enterprises. (2) The GCP contributes to the mitigation of sulfur dioxide and wastewater emissions. (3) The GCP has a greater effect on investment and financing behavior among state-owned and large-scale "two high" enterprises than among medium-sized and micro enterprises. (4) There exists regional heterogeneity in the effects of the GCP on the investment and financing of "two high" enterprises and environmental quality. The GCP has positive impacts in the eastern and western regions, and the policy effect is not obvious in the central region.

In the reforms pertaining to the energy structure in the automotive industry, new energy vehicles (NEVs) have long been the focus of government attention, as an effective means to reduce air pollution. Therefore, this paper employs the rolling-window Granger causality test, in order to discuss the environmental benefits of new energy vehicles, so as to explore the active role of the transportation sector in reducing air pollution. By studying the interactions between NEVs and particulate matter (PM2.5) from the time period spanning from 2013:M1 to 2020:M9, we have found that the positive influences from NEVs to PM2.5 ascertain that NEVs cannot be considered as an efficient measure to mitigate air pollution. Moreover, these results are not supported by the energy and environment interaction model, which essentially indicates that replacing traditional energy with renewable energy is an effective measure for controlling environmental pollution. In fact, PM2.5 tends to have a negative impact on NEVs, which underlines that the air quality index is a leading indicator, particularly when it comes to analyzing the development of the NEVs market. This essentially highlights that in China, NEVs still do not account for a high proportion of car sales, and therefore, its environmental protection effect is not obvious. At the same time, the factor of public awareness regarding environmental protection will thus occupy a considerable proportion in the transmission of NEVs sales. These revelations will help the government to formulate environmental governance policies, and expand the new energy vehicle market to achieve carbon neutrality targets in China.

The environmental and socioeconomic considerations of energy production have become crucial because of the increasingly complex relationship between energy and the environment. This study aims to develop possible mechanisms for perspectives on energy policy and the environment by exploring the mediating role of renewable energy patents. Non-radial data envelopment analysis and panel data models are applied using the panel data from 2010 to 2017 from 30 Chinese provinces. The results show an overall improvement in the environmental performance index (EPI) of China's provinces, but the average EPI is still relatively weak, with an average value between 0.44 and 0.52, which is far below the optimal value 1.. Furthermore, the econometric model offers evidence that provincial renewable energy and emission reduction policies positively impact the enhancement of EPI. The findings have several implications for energy and environmental policies.

Efficient environmental resource management is a serious concern for sustainable development in developing countries. This study determines the impact of institutional quality on sustainable development, based on total factor productivity improvements through the environmental regulatory process by way of abatement policies using an augmented endogenous sustainable growth model. Based on panel data covering 66 developing countries from 1984 to 2019, the employed methods involve the fixed effects and the system generalized method of moments (GMM). The main results indicate that institutional quality has a positive impact on sustainable development. Institutional quality has a more positive role in sustainable development in lower middle-income countries than low-income countries. The overall results indicate that the disaggregated performance of institutional quality variables is higher in lower middle-income countries than low-income countries. Two main policy implications are implied by our analyses: legislative backing in the form of institutional enforcement is mandatory to design efficient and productive policy relevant to environmental resource management; and various institutional forms should be considered when designing environmental resource protection policy from an environmental governance point of view.

Ecological environmental issues are global focus problems. Achieving carbon neutrality is a fundamental measure to protect the ecological environment. Government environmental governance plays a key role in the process of moving towards a carbon neutral vision since the externality of the environment. Therefore, it is of great significance for achieving the goal of carbon neutrality to evaluate the governmental ecological environment performance and propose improved suggestions based on the evaluation results. However, most existing evaluation methods have the disadvantages that it is difficult to avoid information distortion and loss during the evaluation process. To overcome these problems, an evaluation model based on a DPSIR-improved matter-element extension cloud model is proposed in this study, which combines the Drivers-Pressures-State-Impact-Response (DPSIR) model, the entropy weight method, the cloud model, matter element extension theory, and the cloud entropy optimization algorithm. The ecological environmental performance of China in 2019 was evaluated based on the proposed model, exampling as Jiangsu province. The results showed that the cloud digital eigenvalues of ecological environmental performance was (2.1852, 0.2956, 0.1), indicating that the ecological environmental performance was good level. However, the ambient air quality needed to be improved. To achieve carbon neutrality, suggestions including strengthening propagating, increasing investment, optimizing the industrial structure, and building a modern environmental governance system are proposed.

As one of the “four sharp teeth” of China's new environmental protection law, the daily penalty policy which is characterized by high deterrent effect and high violation cost plays an important role in restraining repeated violations of polluting firms. In order to further test the effectiveness of the daily penalty policy in pollution control and emission reduction, this study evaluates the policy through the time-varying difference-in-differences (DID) method using data from Chinese industrial firms from 2003 to 2012. The results show that the daily penalty policy significantly reduced industrial SO2 emissions, which is supported by a series of robustness tests. Further mechanistic tests found that the daily penalty policy can reduce emissions by promoting the use of clean energy at the front-end prevention and increasing pollution control equipment and product innovation at end-governance. Heterogeneity analysis indicates that the daily penalty policy has a significant emission reduction effect on low energy consumption firms, large-scale firms and firms in clean industry. The SO2 emission of foreign-funded firms is more reduced than that of state-owned and private firms. In addition, the level of emission reduction by exporting firms and firms in a mature recession are more affected by this policy. This study validates the effect of the daily penalty policy on emission reduction of firms. We found that the stringent command-and-control environmental regulations can also effectively encourage firms to control pollution and promote the transformation of firms toward long-term green development strategies and energy-saving and emission-reducing production patterns, and achieve a reasonable combination with market-based incentive environmental regulations. It provides new ideas and inspiration for implementation and improvement of the daily penalty policy and the strategic deployment of environmental governance in China.

Collaborative governance plays an important role in air pollution prevention (APP). This paper aims to evaluate the policy effects of collaborative governance for APP in the Yangtze River Delta (YRD) region, analyze the collaborative mechanism from the perspective of institutional collective action (ICA) theory, and discuss its implications for improving the policy effects and regional collaboration. First, the causal relationship between collaborative environmental governance and air pollutant reduction is confirmed using the regression discontinuity design (RDD). However, it is also established that regional APP policies initiated by the Regional Cooperation Office of Yangtze River Delta (RCOYRD) did not have a long-term effect on reducing air pollutants. Second, initiative heterogeneity and administrative hierarchy heterogeneity of policy effects between cities are analyzed. It demonstrates that the mechanism formulated by RCOYRD has very limited impact on the reduction of transaction costs and collaborative risks of collaborative environmental governance. Third, clear division of responsibilities, balanced cost-benefit sharing, and coordinated enforcement between local governments are needed to improve the policy effects of collaborative governance for APP.

Because of the size of its population and economy, good environmental governance in Asia is fundamental not only for the well-being of the region's population but also for the health of the planet. This article introduces the challenges of governing the environment in Asia. The issue evaluates the outcomes and institutional changes in selected countries related to substantive environmental issues such as air pollution, water quality, municipal solid waste, transport, land use, and climate change. By synthesizing the main research issues, methodology and findings of the growing literature on the region, we highlight the trends in environmental governance and gaps in policy and research. Despite the efforts made, there are still remaining environmental governance challenges to be addressed by both the academics and practitioners in Asia.

Land occupation by solar power installations has become a rising concern that may cause adverse impacts on natural ecosystems and biodiversity. Existing studies mainly adopt a local perspective to view land use requirements of solar power and forget that the solar-based electricity system is subordinate to the macro economy and nourished by the material, machinery and service support by various economic sectors. To manifest a key aspect of the footprint of solar power on land resources, this study uncovered the extensive industrial land use initiated by the infrastructure of a representative pilot solar-based electricity plant using a systems perspective. The results in this study show that in magnitude, land footprint by the infrastructure of the pilot solar plant amounts to three times as much as the onsite land area. Also, the land footprint calculated is revealed as one order of magnitude larger than a previous finding that includes primary materials only, and four to seven times higher than the onsite land use by coal-based electricity plants. The outcome implies that existing environmental management policies need to be re-evaluated by putting enough emphasis on the land displacement by solar power systems along the production chain.

The agri-food sector is under increased pressure from consumers to improve on the sustainability of production processes. Policies that incentivise farmers to improve environmental performance, such as agri-environment schemes (AES), are increasingly important. Understanding the choice to participate in these programmes aids policymakers in designing schemes that meet participation and environmental goals. While a number of studies have investigated the decision using cross-sectional data on one or multiple locations, very few have used longitudinal data to investigate the impact of institutional changes over time. Using Ireland as a case study, this paper uses a nationally representative panel of data spanning 23 years to model the impact of scheme and policy changes on the type of farms participating in AES. This paper argues that environmental issues surrounding intensive farms (such as the loss of nutrients and sediment to water and greenhouse gas emissions) are not being optimally addressed in scheme design and further development of such programmes is needed to reduce negative environmental impacts.

Improving air quality is an era task for China to transform its economic development model and enhance its environmental governance capabilities. This article take the Chinese government's Three-year Action Plan to Win the Blue Sky Defense War (abbreviated as the Blue Sky Defense War) as a quasi-natural experiment and use regression discontinuity design (RDD) to evaluate the governance effect of this policy. The study found that the Blue Sky Defense War reduced the monthly average concentration of PM2.5 and PM10 in cities by 14.49 and 23.43, respectively. Heterogeneity analysis shows that the Blue Sky Defence War has a more prominent effect on urban air quality management based on PM10 assessment; Jing-Jin-Ji region and surrounding areas are the key points to ensure the achievement of air management. Consistent and effective environmental governance policies, transparent and timely information disclosure and structural adjustment are all powerful guarantees for the effectiveness of the Blue Sky Defense War. These research conclusions provide new ideas for developing countries to formulate practical environmental pollution control policies.

Since the parties to Paris agreement ink ambitious emissions reduction targets, there is a growing debate - whether the existing environmental regulations have potential to spur enough technological base that could help to achieve the targets by 2030? Thus, this study attempts to empirically investigate the role of stringent environmental regulations towards environmentally friendly technological innovation, carbon emissions, GDP, exports and imports for 20 OECD countries. The results find long-run equilibrium relationship among the variables and suggest that the current environmental regulations encourage green innovation in the panel countries. Furthermore, stringent environmental policies couple with environmentally friendly innovation are impetus to sustainable development. Exports and imports have little to contribute green innovation but, exports reduce carbon emissions in the short-run only and imports are emissions intensive. The study suggests that the OECD countries need to revisit trade related environmental regulations.

Environmental governance in complex social-ecological systems involves multiple actors and institutions that interact across scales. Where hierarchical authority to command is lacking, actors may rely on resource sharing to steer actions across the landscape and reduce scale mismatch. An important resource for such cross-scale steering is scientific information. This study examines how actors in local collaborative organizations share and use scientific information across multiple parts of a polycentric governance system. Interviews from efforts in the Puget Sound, USA, to incorporate scientific information across scales reveal patterns in horizontal and vertical information sharing, the role of knowledge brokers, and scale mismatches in spatial scale and theory vs applied research. Results indicate collaborative group members frequently access scientific findings horizontally through their networks of contacts and conference attendance, as well as through document searches for journal articles and government reports. Vertical transmission relies more on knowledge brokers and guidance documents. The use of scientific findings by local collaborative organizations depends on the biophysical and political context, and there is often tension between scientific rigor and local applicability.

The carbon dioxide embodied in Chinese exports to developed countries increased rapidly from 1995 to 2008. We test the extent to which institutional reforms in China can explain this increase. We focus on five areas of reforms: trade liberalization, environmental institutions, legal and property rights, institutional risk and exchange rate policy. Our results show that trade liberalization, weak environmental institutions, exchange rate policy, and legal and property rights affect emissions. Our results also indicate that the lack of reform in the utilities sector is an important factor in the rapid increase in embodied emissions.

There is significant interest among policymakers and academics about whether or not green credit, which is a market-oriented environmental policy tool, has achieved its intended effect in improving the environment in China. This paper addresses this question from both theoretical and empirical perspectives. Using panel data from 30 provincial administrative regions of China from 2007 to 2016, we apply the fixed effect model and the gray correlation analysis method to examine the influence and its mechanism of green credit on China's environmental quality. The results show that green credit does improve China's environmental quality overall. Green credit can reduce environmental pollution through three mechanisms: improving enterprise performance, motivating enterprise innovation, and upgrading industrial structure. However, there are regional differences in the emission-reduction effect of green credit. Green credit improves the environmental quality in resource-based regions more than non-resource-based regions; the emission-reduction effect is significant in regions with developed financial markets, but not significant elsewhere. The results indicate that green credit policies should be regionally differentiated to more effectively achieve emission-reduction targets.

The pollution control of local government to industrial enterprises is actually a long-term, complex and dynamic game process. This study develops an evolutionary game model to analyze the operation mechanism of local governments’ different expenditure preferences on the production behavior of industrial polluting enterprises, so as to specify the behavioral characteristics and optimal strategy of local environmental governance. The results indicated that whether the relationship between local governments and polluting enterprises in environmental governance becomes cooperative or collusive depends on their game sequence and initial endowment. Under the condition of realizing a steady state of cooperation, polluting enterprises would advance faster toward clean production if local governments distribute more environmental expenditures on cost subsidies for enterprises to implement clean production. The findings of this study provide decision-making basis for local governments to control industrial pollution.

To achieve zero carbon or achieving carbon neutrality target is of great importance to many countries around the globe especially post Paris climate agreement. This study, unlike previous studies, evaluates the role of environmental policy, green innovation, composite risk index, and renewable energy R&D in achieving carbon neutrality targets for G7 economies from 1990 to 2019. The results confirmed the validity of the EKC hypothesis for G7 economies. Further, the result shows that environmental policy, green innovation, composite risk index, and renewable energy R&D help control carbon emissions. In contrast, income reveals a positive influence on environmental degradation. Furthermore, bidirectional causality has been reported in environmental policy, composite risk index, green innovation, and the CO2 emissions, while unidirectional causality running from GDP and renewable energy R&D to CO2 emissions. Based on the empirical findings, it is suggested that environmental policies should be strengthened, promote green innovation and renewable energy research and development expenditures, and political stability and institutional quality must be stabilized to lowers sectoral risks that would help a sustainable environment.

In response to the need for approaches to understand how citizen science is currently influencing environmental policy and associated decision making, we devised the Citizen Science Impact StoryTelling Approach (CSISTA). We iteratively designed instruments to be used as tools primarily for citizen science practitioners seeking to understand or communicate policy impacts. We then trialled the CSISTA and associated instruments on four exemplary citizen science initiatives, using different forms of inquiry and collaboration with respective initiative leaders. In this paper, we present CSISTA, with details of the steps for implementing inquiry and storytelling instruments. Additionally, we reflect on insights gained and challenges encountered implementing the approach. Overall, we found the versatility and structure of CSISTA as a process with multiple guiding instruments useful. We envision the approach being helpful, particularly with regards to: 1) gaining an understanding of a citizen science initiative's policy and decision-making impacts; 2) creating short policy impact stories to communicate such impacts to broader audiences; or 3) fulfilling both goals to understand and communicate policy impacts with a unified approach. We encourage others to explore, adapt, and improve the approach. Additionally, we hope that explorations of CSISTA will foster broader discussions on how to understand and strengthen interactions between citizen science practitioners, policy makers, and decision makers at large, whether at local, national, or international scales.

The Great East Japan Earthquake and subsequent Fukushima nuclear accident triggered citizen dialogue on energy and environmental management in Japan. However, an international survey has shown that the willingness of Japanese citizens to participate in political and social activities has declined since the Fukushima accident. Employing an internet-based survey in four urban or nuclear power plant-hosting prefectures in Japan, this study examines the willingness to participate in random sampling deliberation on post-disaster energy and environmental policy. It focuses on the effects of political, environmental, and social attitudes towards willingness to participate in citizen dialogue. The survey shows around 40% of respondents may participate in energy and environmental deliberation. Statistical analysis reveals that environmental consciousness raises the propensity to participate in deliberation, while political obedience and social hesitation decreases the will to participate. The effect of environmental attitudes is larger than that of political and social attitudes. The survey also finds that governmental response to deliberation, i.e., information generation and disclosure based on requests from citizen dialogue, encourages participation in deliberation in a conservative prefecture, when citizen dialogue is held at the national level. Random sampling deliberation opens a new mode of environmental governance regardless of local political and social characteristics.

Environmental Information Disclosure (EID) is a new tool for environmental governance in the era of big data and information. Based on the Pollution Information Disclosure Index (PITI) of 120 cities in China from 2003 to 2019, spatial data exploratory analysis and dynamic spatial panel model were adopted to analyze the spatial-temporal evolution characteristics and influencing factors of EID in China. The results show that (1) great progress of China's EID has been made in legislation and practice and its ways and channels are gradually becoming diversified, while it is accompanied by the problem of inadequate and unbalanced development; (2) EID shows the "superposition effect" promoted by previous accumulation has the "peer effect" of mutual imitation and learning and presents "demonstration effect", which shows significant agglomeration distribution pattern of spatial "club", while the spillover effect within the region is significant while the radiation effect between regions is weak. (3) In a dynamic process, cities with better economic development, firm performance, environmental performance and regulation, disclosure more environmental information, while the role of government competition and public participation needs further discussion. (4) Negative factors have a great influence during the economic crisis, while positive factors play a significant role in promoting the disclosure of environmental information during the economic expansion after crises. Cities in the developed regions (coastal, east and large cities) disclosure more than developing regions (inland, west, and small cities), and the positive factors are more likely to take effect.

Intensifying competition for water induces the growth of water markets in several countries for sharing water between rural communities and cities. While there is a growing recognition that adoption of market mechanisms in environmental governance relies on the state and different institutional arrangements, much less is known about how the interconnections among the state, market-tools, and the community work in practice. In China's distinctive political system, the central government has adopted a 'Two-Hands' approach () to water governance - a combination of strong central regulation and infrastructure development on the one hand, and adoption of market principles on the other to improve water reallocation. A recent study has explored the policy evolution underpinning this transition. However, no studies have systematically examined the implementation of the Two-Hands approach to reveal the underlying institutional hybrid patterns in environmental governance. This study fills this research gap by employing a Fuzzy Set Qualitative Comparative Analysis (fsQCA) to analyze how the interplay of the central government, market, and local governance shapes water rights trading patterns. A total of 29 water-scarce cities using water rights trading with 385 transactions were investigated for the period between 2000 and 2019 by combining evidence from fsQCA and qualitative case-studies. The implications drawn from interpreting the results are as follows: (1) the central government shapes the development of the market and its transactions but this is expressed in multiple ways through pilot projects and the national water exchange platform; (2) establishing water markets and investing in water infrastructure are mutually reinforcing, rather than mutually exclusive; and (3) local governments employ different property rights arrangements to adapt water markets in China's centralized politically institutional context.

Globally, community-based initiatives are effective in protecting ecosystems and the species within them. In this paper, we analyze the emergence and large-scale expansion of a community-based environmental protection system (the Voluntary Environmental Agents Program – VEA Program) in the Brazilian Amazon and identify factors that have determined its success since its inception, 25 years ago. Collective actions to protect the environment in the region have been undertaken by local people for at least 40 years, before their legal regulation in 2001 by the federal government of Brazil, and by the Amazonas state in 2007. The system is based on territorial surveillance and monitoring, and on guidelines for the better use of the territory and its natural resources. Between 1995 and 2020, the VEA Program expanded into the two protected areas where it was first implemented reaching approximately 9 thousand km2 of area protected by the system. The number of people participating also grew in this period by around 2050%, as did the participation of women, which grew by 5600%. The system was replicated in 37 protected areas in central Amazonia, and currently covers almost 200 thousand km2 of Amazon rainforest. From our analyses we unveil four main factors that may have allowed the VEA Program to expand and flourish: (a) the communities' previous demand for an effective control system, (b) its legal formalization and regulation, (c) the support from external institutions, and (d) the consolidation of community-based management programs to fund actions. These factors shall be further investigated as to confirm their critical role in the success of the VEA Program. We demonstrate that this community-based environmental protection system has established itself as a legitimate form of social control, and as a mechanism of socio-environmental governance in the areas in which it operates. By allowing more effective protection of territories, it generates consensus amongst users for the adequate management of natural resources, especially in contexts where government's actions are absent or inefficient. We claim that this system can be replicated in various parts of the world.

Industrial wastewater treatment is gaining significance in literature due to stricter environmental policies and increased environmental awareness. The selection of the wastewater configuration encompasses both the treatment as well as several decisions around wastewater collection and disposal pertaining industrial decision-making sphere. However, so far in the wastewater literature, research has mostly discussed either technical features of wastewater technologies, or wastewater policy issues at broader level, without focusing on the industrial decision-making issues and driving factors leading to the selection of a specific configuration. Starting from a literature review, the present study provides an innovative framework of the possible options for wastewater system configuration, as well as major adoption factors by industrial decision-makers. The factors have been classified according to 7 categories, namely: influent-related, technological, economic/financial, internal socio-cultural, external socio-cultural, regulation, site characteristics. The framework, validated with acknowledgeable experts, policy makers and firms, has been preliminarily applied to Italian and Australian food firms. Our investigation reveals that the framework was able to include all relevant problems faced by industries in the selection of a treatment system configuration; besides, the relative importance of factors has been assessed: legal requirements emerge as the most critical factors, followed by volume and discharge fee, the latter particularly interesting for policy makers purposes, since it may guide the decision-making process. Further, the wastewater volume seems to play a key role in our exploratory investigation, with smaller firms preferring a complete off-site treatment to reduce the complexity, whilst larger firms preferring instead more partial or complete on-site treatment configurations for compliance costs reduction. In conclusion, we have provided policy and managerial implications stemming from the study as well as sketched interesting future research avenues.

Aquatic invasive species (AIS) cause significant ecological and economic damages around the world. A major spread mechanism for AIS is traffic of boaters transporting their watercraft from invaded to uninvaded waterbodies. To inhibit the spread of AIS, several Canadian provinces and American states set up watercraft inspection stations at roadsides, where potentially infested boats are screened for AIS and, if necessary, decontaminated. However, since budgets for AIS control are limited, watercraft inspection stations can only be operated at specific locations and daytimes. Though theoretical studies provide managers with general guidelines for AIS management, more specific results are needed to determine when and where watercraft inspections would be most effective. This is the subject of this paper. We show how linear integer programming techniques can be used to optimize watercraft inspection policies under budget constraints. We introduce our approach as a general framework and apply it to the prevention of the spread of zebra and quagga mussels (Dreissena spp.) to the Canadian province British Columbia. We consider a variety of scenarios and show how variations in budget constraints, propagule sources, and model uncertainty affect the optimal policy. Based on these results, we identify simple, generally applicable principles for optimal AIS management., Comment: Keywords: aquatic invasive species; linear integer programming; optimal management; spatially explicit; zebra mussel

Multiple centers of authority in hybrid forms create conditions of radical openness where questions of value and fitness are in flux. Environmental accounting is suggested as a condition for steadying hybrid forms and opening up possibilities for institutional innovations. This paper advances a critical social science analysis of environmental accounting to help specify how, when, and in what ways strengthening accounting capacity advances hybrid governance. Social studies of accounting argue that accounting systems are contingent on institutions: rules and social conventions, not only data or science. Our practice-centered analysis of two cases of building environmental accounting tools to advance high profile institutional innovations in US agri-environmental governance finds that the systems of rules that structure and legitimize accounting protocols are not pre-given. The same radical openness that presents opportunities for hybridity also reinforces uncertainties in building accounting standards. We identify two major frictions: a) Conventions for determining technical consensus and b) Rules for determining levels of transaction costs. We conclude by identifying a need to think about hybrid forms critically. Although hybrid forms are an expression of creativity and collaboration, they are also performances of a certain contemporary political covenant that delegitimizes state-centered governance. The challenge ahead is to understand when and where hybrid arrangements add to socio-ecological regulation and where they undermine the possibility of more functional approaches through a performance of seriousness.

The objective of this research was to conduct a performance evaluation of three food waste/biowaste-to-biogas pilot projects across 7 scenarios in China based on multi-criteria decision analysis (MCDA) methodology. The projects ranked included a food waste-biogas project in Beijing, a food waste-biogas project in Suzhou and a co-digestion project producing biomethane in Hainan. The projects were ranked from best to worst based on technical, economic and environmental criteria under the MCDA framework. The results demonstrated that some projects are encountering operational problems. Based on these findings, six national policy recommendations were provided: (1) shift away from capital investment subsidies to performance-based subsidies; (2) re-design feed in tariffs; (3) promote bio-methane and project clustering; (4) improve collection efficiency by incentivizing FW producers to direct waste to biogas projects; (5) incentivize biogas projects to produce multiple outputs; (6) incentivize food waste-based projects to co-digest food waste with other substrates for higher gas output.

The attempt to design cost-effective adaptation policies incorporating non-market values to inhibit climate change impacts on water resources may increase the interest in applying the Benefit Transfer method. Benefit Transfer is a practical way to consider non-market values using functions and estimates acquired through primary valuation methods from other sites. Among the primary methods, Choice Experiments appear to particularly accommodate Benefit Transfer. Nevertheless, validity and reliability of international value transfers obtained from Choice Experiments have not been adequately examined. To this end, two identical Choice Experiments were conducted in Greece and Italy in the context of river services adaptation, testing validity and reliability of Benefit Transfer. The application of validity and reliability tests for different types of transfers is supportive for the use of Benefit Transfer, at least for the value transfer types. In particular the reliability of value transfer was higher when income adjustments were taken into account. Overall, Benefit Transfer can be attentively considered to evaluate cost-effective adaptation policies across countries experiencing similar climate change trends. The latter gains more importance given that an international Benefit Transfer setting as regards the non-market benefits of adaptation to climate change for river services is absent in the relevant literature.

In a world of increasing interconnections in global trade as well as rapid change in climate and land cover, the accelerating introduction and spread of invasive species is a critical concern due to associated negative social and ecological impacts, both real and perceived. Much of the societal response to invasive species to date has been associated with negative economic consequences of invasions. This response has shaped a war-like approach to addressing invasions, one with an agenda of eradications and intense ecological restoration efforts towards prior or more desirable ecological regimes. This trajectory often ignores the concept of ecological resilience and associated approaches of resilience-based governance. We argue that the relationship between ecological resilience and invasive species has been understudied to the detriment of attempts to govern invasions, and that most management actions fail, primarily because they do not incorporate adaptive, learning-based approaches. Invasive species can decrease resilience by reducing the biodiversity that underpins ecological functions and processes, making ecosystems more prone to regime shifts. However, invasions do not always result in a shift to an alternative regime; invasions can also increase resilience by introducing novelty, replacing lost ecological functions or adding redundancy that strengthens already existing structures and processes in an ecosystem. This paper examines the potential impacts of species invasions on the resilience of ecosystems and suggests that resilience-based approaches can inform policy by linking the governance of biological invasions to the negotiation of tradeoffs between ecosystem services.

China began to implement stringent water-saving policies in 2012. Mandatory water-saving measures implemented in arid inland river basins include the measures of allocating surface water among upper, middle and lower beaches, restricting household agricultural water use, closing wells, reducing farmland and increasing water prices. These measures have negative influences on the agricultural production of farmers. This study aimed to reveal the demographic and psychological correlates of farmers' attitudes toward these policies. The participants included 672 farmers in the Heihe River Basin and the Shule River Basin in northwest China. Structural equation analyses showed that farmers' awareness of the beneficial consequences of restricting household agricultural water and their perception of policy enforcement had significant relationships with their attitudes toward water-saving policies, whereas the effects of the New Ecological Paradigm and collectivism on farmers' attitudes were mediated through their awareness of beneficial consequences and their perception of policy enforcement. Multivariable regression analyses revealed that as a whole, there were no significant correlations between demographic variables and farmers' attitudes. Policy implications include propagandizing these policies among local farmers, strengthening open and fair policy enforcement, and cautiously using water prices as an instrument to control irrigation water.

Different regions in China face greatly dissimilar ecological and environmental problems due to large variations in natural conditions and socioeconomic development levels. Such spatial variability calls for regionalized environmental management and protection policies. Environmental function zoning is an effective tool for the design and implementation of differentiated environmental policies. To contain the ecological degradation in different regions of China, we first created a comprehensive environmental function evaluation index system that included 25 socioeconomic and environmental indicators for the three key elements of natural ecological security protection, healthy human living environment maintenance, and regional environment carrying capacity. To clarify the division of Chinese environmental function zoning in the new period, we use GIS and remote sensing technology. We generated 1-km resolution grid data for the 25 indicators and implemented this index system to evaluate the environmental function of the 2414 counties in China. Differentiated environmental management objectives and strategies were designed and implemented for different zones to avoid the phenomenon of one size fits all. This work lays a scientific foundation and provides a quantitative tool for the design and implementation of differentiated management. By considering not only the natural system but also the social and economic systems and their interactions, this evaluation of environmental function provides a more comprehensive view and thus offers new insights on balancing environmental protection and socioeconomic development.

Central Environmental Inspection (CEI) is a particularly important innovative strategy in the transition of environmental governance in China. The first round of CEI for all provincial regions in mainland China has been finished by the end of 2017, but its actual performance remains to be seen. In this study, a multi-dimensional index system was developed under the framework of Balanced Scorecard. Using the content analysis method, we comprehensively evaluated the performance of CEIs in all provinces inspected from the perspectives of target achievement, local rectification, direct effect, and social involvement. The results indicate that CEI has made encouraging progress in the area of environmental governance and the accumulated experiences of the inspections in the early stage greatly boosted the subsequent performance of CEIs. The provincial performance of the central region was significantly higher than that of other regions. For target achievement, the focal points has been basically realized. Despite some neglect of CEI feedback, local environmental governance is experiencing a promising shift from passive to active in general. For social involvement, the CEI has not only promoted the awakening of public environmental consciousness, but also driven public participation in environmental protection. It is notable that the implementation of environmental co-responsibility between Party and governmental officials needs to be further improved. In addition, the shortcomings of each province were identified as well and policy recommendations for existing problems were offered to guide future optimization of local environmental governance and CEI practice.

Rapid and large-scale industrial growth has imposed tremendous challenges to the sustainable development of cities in China. The evaluation of the environmental sustainability of industrial planning has become a top priority for improving urban sustainability. In this regard, a goal-oriented framework, called three-line environmental governance, was proposed in the latest Chinese environmental management policy. Three lines, consisting of an ecological conservation red line, an environmental quality bottom line and a resource utilization upper limit line are to be taken into account when evaluating the potential effects of an urban industrial development plan. In this paper, the fuzzy axiomatic design system was applied in the development of an evaluation process and an indicator system that can be used to evaluate industrial alternatives that are established based on the three lines requirement. In an application of this methodology, the Industrial Green Development Plan of the city of Ordos was taken as a case study to recommend an optimal alternative. The target accessibilities of five alternatives were evaluated by conducting a comprehensive comparison among the alternatives meeting the environmental sustainability objectives of all of the indicators. This research shows that the evaluation of environmental sustainability on the basis of the three-line environmental governance policy is an effective way of promoting industrial green development and integrating environmental management requirements into urban industrial planning. It proposes not only a universal process for evaluating the environmental sustainability of urban industrial alternatives, but also a feasible method of tracking and evaluating the performance of industrial green development.

Using firm establishment-level data combined with provincial socio-economic characteristic panel data in China for the period of 2011-2015, this study seeks to empirically examine the impact of environmental regulation on location choices of polluting firms. The results of the conditional logit model provide compelling evidence that environmental regulations do affect the location choice of firms in polluting industries. Instead of supporting the pollution haven effect, our results consistently confirm the Porter effect at the country level. This result is robust when taking endogeneity problem into account, adopting various model specifications and estimation strategies, using alternative measurements of environmental regulation and location choices, and subsampling excluding international political events. However, the results also show divergent effect of environmental regulation on location choices for heterogeneous firms. Specifically, polluting firms in eastern region prefer to invest in provinces with stringent environmental policies but those in other regions, especially in northeastern region, choose to locate in provinces with lax environmental regulation. While water-dependent polluting firms with a low level of footlooseness are more likely to enter locations with loose environmental regulation, air pollution-intensive firms tend to locate in provinces with tight environmental legislation. These results have policy implications for transitional China as well as other developing countries with similar experience.

Information disclosure in environmental governance, or informational governance conceptualized by Arthur Mol, has been increasingly utilized as a policy instrument to incentivize environmental policy enforcement in not only democratic societies but also authoritarian regimes like China. This study uses an explicit regulation, the air pollution ranking in Chinese cities as an example to illustrate how such informational governance policy instrument has an impact on local air pollution governance. Empirical evidence is based on monthly comprehensive air quality index ranking data of 74 key monitoring cities in China from 2013 to 2018. And a regression discontinuity design is applied to explore the relationship between air pollution ranking and air quality improvement in localities. The results show that (1) air quality of the bottom ten cities in the ranking will improve in the coming month compared with their counterparts; (2) such improvement happens upon the releasing of the ranking, but would not last for more than a month; (3) while top ten cities in the ranking do not experience such change in air quality. Therefore, we argue that the air pollution ranking system in China can be a useful informational governance instrument in providing negative incentives for environmental administrations in bottom cities to strengthen air pollution control. However, as a top-down environmental information disclosure program, such ranking institution could only mobilize local air quality governance temporarily. And new institutions ought to be established to further internalized local governments' environmental externalities.

This paper analyses the effect of an adapted - more participatory and more integrated - mass mobilization training approach on Ethiopian farmers' motivation to practice integrated farming and invest in Sustainable Land Management (SLM). It is based on the results of an experiment carried-out in the Sago-kara watershed in the Central highlands of Ethiopia, in which a group of 26 farmers received an adapted training at the start of the mass mobilization campaign in 2016, which aimed to strengthen farmers' knowledge and awareness about natural resource management, drought mitigation and integrated farm planning. One year later, both qualitative and quantitative data were collected through group discussions, field observations and household surveys. For the before-after comparison we used descriptive statistics to analyze the data; the with-without comparison (with a control group) differences were statistically tested at 1% and 5% probability levels. The results show that the adapted training approach enhanced awareness of farmers, created motivation for integrated farm management and fostered implementation of SLM practices in the field. Most interesting is that farmers who followed the training better plan for drought mitigation and are more aware of the possible effects of drought on their farming activities. The study concludes that the current mass mobilization approach in Ethiopia can have more impact on SLM if it would pay serious attention to: 1) creating awareness on the causes and effects of erosion and drought focusing on sustainability issues, 2) fostering farmers' intrinsic motivation to be good stewards of their land; 3) training in integrated farm planning, and 4) developing farm plans based on farmers' visions for resilient farming. In order to make agricultural extension in Ethiopia more effective, one has to start with capacity building of the rural extension staff in participatory training methods, followed by empowering and motivating farmers for SLM. This will not only lay a foundation for sustainable agriculture and more food security on the farm, but is also crucial for the scaling-up of resilient farming to watershed and landscape levels in Ethiopia.

Chinese government adopted a new environmental program during "Eleventh Five-Year Plan" period. Whether this program can achieve its goal of pollution reduction and quality improvement for exports is of vital importance for China's sustainable development. This paper constructs a quasi-difference-in-difference (DID) framework to identify the effects of the new environmental policy on export product quality by using highly disaggregated trade transaction data at the product level. Empirical results show that the implementation of pollution reduction targets is negatively correlated with export product quality. This negative impact is more profound in western regions, capital-intensive industries, privately owned firms and firms exporting to countries which are not members of Organization for Economic Co-operation and Development group. In addition, our extended analysis shows that the negative effects can be mitigated through product switching within the firms. The major policy implication is that local governments should take proper measures to strengthen the effects of innovation offsets caused by environmental regulation and effectively utilize the induced effects of environmental regulation on product switching. The goal is to achieve a win-win outcome for environmental protection and improvement in export product quality.

This paper explores the differences between public perceptions and existing monitoring indicators in environmental quality in Beijing. The results reveal, existing indicators do not accurately reflect public perceptions of the environment. Some environmental problems, such as fluffy catkins, are not reflected in the existing indicators, yet have a relatively large influence on public perception. The policymakers and public's variegated understanding of the environment, the lag period of public perceptions of environmental quality change, and lack of standards and monitoring for emerging problems are the three main reasons that resulted in a deviation of monitoring indicators from the public perceptions. Resultantly, to improve the level of environmental governance, it is necessary to take relevant measures that reduce the difference between public perceptions and monitoring indicators. Residents should be surveyed regularly to obtain their public perceptions, and the selection of indicators should not be limited to environmental pollution. In particular, some indicators based on public perception should be developed to complement the existing environmental monitoring protocol. In addition, due to the emerging environmental problems, quality standards and monitoring systems should be updated regularly.

Many studies demonstrate that the booming number of environmental non-governmental organizations (ENGOs) in China have substantially affected on the environmental issues. However, little research has paid attention to discern the different types of ENGOs' activities. Thus, this study aims to provide the first set of quantitative data analysis to demonstrate the effects of different types of ENGOs’ effects on the governance from two major perspectives, namely, top-down and grassroots. Both perspectives offer different assumptions of whether the effects of key ENGOs on promoting urban environmental governance are national or local. This paper collects unique data from the websites of several NGO list-collecting organizations, the urban statistical yearbooks published by the Chinese government, and the pollution information transparency index released by ENGOs annually, to accurately identify the characteristics and activities of ENGOs. By using the Ordinary Least Squares regression model in which the city fixed effects are included, this study analyzes the influences of ENGOs on the levels of environmental information disclosure among over 100 prefecture-level cities from 2008 to 2015. The results primarily support the grassroots perspective. Cities with more local ENGOs have better performance in terms of environmental information disclosure. In addition, although local ENGOs allying with national NGOs have certain influences in 2014–2015, they downgrade the effects of other local ENGOs. Taken together, the findings illustrate that, while national ENGOs have received great deal of attention, possessed more resources to align local ENGOs, and had extensive opportunities to connect with international ENGOs, local ENGOs within local contexts and activities play crucial roles in the local environmental governance. Furthermore, the results also imply that although the Chinese government has reinforced control over the civil society after 2012, local ENGOs still strengthen their influences on the environmental governance.

Complex policy-making situations around bioenergy production and use require examination of the operational environment of the society and a participatory approach. This paper presents and demonstrates a three-phase decision-making framework for analysing the operational environment of strategies related to increased forest bioenergy targets. The framework is based on SWOT (strengths, weaknesses, opportunities and threats) analysis and the Simple Multi-Attribute Rating Technique (SMART). Stakeholders of four case countries (Finland, Germany, Norway and Slovenia) defined the factors that affect the operational environments, classified in four pre-set categories (Forest Characteristics and Management, Policy Framework, Technology and Science, and Consumers and Society). The stakeholders participated in weighting of SWOT items for two future scenarios with SMART technique. The first scenario reflected the current 2020 targets (the Business-as-Usual scenario), and the second scenario contained a further increase in the targets (the Increase scenario). This framework can be applied to various problems of environmental management and also to other fields where public decision-making is combined with stakeholders' engagement. The case results show that the greatest differences between the scenarios appear in Germany, indicating a notably negative outlook for the Increase scenario, while the smallest differences were found in Finland. Policy Framework was a highly rated category across the countries, mainly with respect to weaknesses and threats. Intensified forest bioenergy harvesting and utilization has potentially wide country-specific impacts which need to be anticipated and considered in national policies and public dialogue.

Social, religious and economic facets of rural livelihoods in Sub-Saharan Africa are heavily dependent on natural resources, but improper resource management, drought, and social instability frequently lead to their unsustainable exploitation. In rural Tanzania, natural resources are often governed locally by informal systems of traditional resource management (TRM), defined as cultural practices developed within the context of social and religious institutions over hundreds of years. However, following independence from colonial rule, centralized governments began to exercise jurisdictional control over natural resources. Following decades of mismanagement that resulted in lost ecosystem services, communities demanded change. To improve resource protection and participation in management among stakeholders, the Tanzanian government began to decentralize management programs in the early 2000s. We investigated these two differing management approaches (traditional and decentralized government) in Sonjo communities, to examine local perceptions of resource governance, management influences on forest use, and their consequences for forest and water resources. While 97% of households understood the regulations governing traditionally-managed forests, this was true for only 39% of households for government-managed forests, leading to differences in forest use. Traditional management practices resulted in improved forest condition and surface water quality. This research provides an essential case study demonstrating the importance of TRM in shaping decision frameworks for natural resource planning and management.

With rapid economic growth, transboundary river basin pollution in China has become a very serious problem. Based on practical experience in other countries, cooperation among regions is an economic way to control the emission of pollutants. This study develops a game theoretic simulation model to analyze the cost effectiveness of reducing water pollutant emissions in four regions of the Jialu River basin while considering the stability and fairness of four cost allocation schemes. Different schemes (the nucleolus, the weak nucleolus, the Shapley value and the Separable Cost Remaining Benefit (SCRB) principle) are used to allocate regionally agreed-upon water pollutant abatement costs. The main results show that the fully cooperative coalition yielded the highest incremental gain for regions willing to cooperate if each region agreed to negotiate by transferring part of the incremental gain obtained from the cooperation to cover the losses of other regions. In addition, these allocation schemes produce different outcomes in terms of their fairness to the players and in terms of their derived stability, as measured by the Shapley-Shubik Power Index and the Propensity to Disrupt. Although the Shapley value and the SCRB principle exhibit superior fairness and stabilization to the other methods, only the SCRB principle may maintains full cooperation among regions over the long term. The results provide clear empirical evidence that regional gain allocation may affect the sustainability of cooperation. Therefore, it is implied that not only the cost-effectiveness but also the long-term sustainability should be considered while formulating and implementing environmental policies.

This research work has been conducted under the Training Program for University Professors of the Spanish Ministry of Education, Culture and Sport (AP2010-3810). The authors are also grateful for the funds awarded by the Government of the Balearic Islands through the Special Action Program (AAEE025/2012) and for the financial support from the CICYT Program of the Spanish Government (ECO2010-22143). Environmental cost-benefit analysis has traditionally assumed that the value of benefits is sensitive to their timing and that outcomes are valued higher, the sooner in time they occur following implementation of a project or policy. Though, this assumption might have important implications especially for the social desirability of interventions aiming at counteracting time-persistent environmental problems, whose impacts occur in the long- and very long-term, respectively involving the present and future generations. This study analyzes the time sensitivity of social preferences for preservation policies of adaptation to climate change stresses. Results show that stated preferences are time insensitive, due to sustainability issues: individuals show insignificant differences in benefits they can experience within their own lifetimes compared to those which occur in the longer term, and which will instead be enjoyed by future generations. Whilst these results may be specific to the experimental design employed here, they do raise interesting questions regarding choices over time-persistent environmental problems, particularly in terms of the desirability of interventions which produce longer-term benefits. Postprint

The revised Bathing Water Directive (2006/7/EC) requires EU member states to minimise the risk to public health from faecal pollution at bathing waters through improved monitoring and management approaches. While increasingly sophisticated measurement methods (such as microbial source tracking) assist in the management of bathing water resources, the use of deterministic predictive models for this purpose, while having the potential to provide decision making support, remains less common. This study explores an integrated, deterministic catchment-coastal hydro-environmental model as a decision-making tool for beach management which, based on advance predictions of bathing water quality, can inform beach managers on appropriate management actions (to prohibit bathing or advise the public not to bathe) in the event of a poor water quality forecast. The model provides a ‘moving window’ five-day forecast of Escherichia coli levels at a bathing water compliance point off the Irish coast and the accuracy of bathing water management decisions were investigated for model predictions under two scenarios over the period from the 11th August to the 5th September, 2012. Decisions for Scenario 1 were based on model predictions where rainfall forecasts from a meteorological source ( www.yr.no ) were used to drive the rainfall–runoff processes in the catchment component of the model, and for Scenario 2, were based on predictions that were improved by incorporating real-time rainfall data from a sensor network within the catchment into the forecasted meteorological input data. The accuracy of the model in the decision-making process was assessed using the contingency table and its metrics. The predictive model gave reasonable outputs to support appropriate decision making for public health protection. Scenario 1 provided real-time predictions that, on 77% of instances during the study period where both predicted and E. coli concentrations were available, would correctly inform a beach manager to either take action to mitigate for poor bathing water quality or take no action. However, Scenario 1 also provided data to support a decision to take action (when none was necessary – a type I error) in 4% of instances and to take no action (when action was required – a type II error) in 19% of the instances analysed. Type II errors are critical in terms of public health protection given that for this error, bathers can be exposed to risks from poor bathing water quality. Scenario 2, on the other hand, provided predictions that would support correct management actions for 79% of the instances but would result in type I and type II errors for 4% and 17% of the instances respectively. Comparison of Scenarios 1 and 2 for this study indicate that Scenario 2 gave a marginally better overall performance in terms of supporting correct management decisions, as it provided data that could result in a lower occurrence of the more critical type II errors. Given that the 28 member states of the European Union are required to engage with the public health provisions of the revised Bathing Water Directive, issues of compliance, pertaining particularly to the management of bathing water resources, remain topical. Decision supports for managing bathing waters in the context of the Directive are likely to become the focus of much attention and although, the current study has been validated in bathing waters off the east coast of Ireland, the approach of using a deterministic and integrated catchment-coastal model for such purposes is easily transferable to other bathing water jurisdictions.

The difficulty for developing regions to fulfil their industrial carbon emission control target commitments is to take into account the socio-economic and environmental governance. It is necessary not only to accelerate the process of industrialization, but also to rationally allocate carbon emission reduction tasks. This paper takes the northwestern provinces of China as a case study based on the calculation of the industrial carbon emissions of each province from 2006 to 2017. The Gini coefficients such as the industrial economy contribution coefficient, industrial employment contribution coefficient, and carbon carrying coefficient are constructed to evaluate the equity of regional industrial carbon emissions. The results show that the carbon pressure index in the northwestern provinces is increasing, carbon emissions are growing much faster than the carbon carrying capacity, and the differences among the provinces are obvious. The industrial economy contribution, the industrial employment contribution, and the carbon carrying Gini coefficients fluctuate significantly. Carbon emissions inequity has not been suppressed with the socio-economic development, and the "Matthew effect" is even more prominent. Evaluating the equity of carbon emissions allocation will help to rationally allocate carbon emission reduction tasks among provinces and achieve national emission reduction targets. Accordingly, recommendations are provided for formulating a differentiated carbon management policy, strengthening provincial cooperation, determining the provincial ecological function position, and improving the equity of regional carbon emissions allocation.