对南京市发展绿色经济的思考

简述了发展绿色经济的重要性,指出了南京市发展绿色经济的有利条件及存在问题。提出,南京发展绿色经济,必须树立绿色发展理念,推动科学发展实践;制定绿色发展战略,推进可持续发展;支持绿色技术研发,培育新经济增长点;打造绿色优势产业,促进结构向高端转型;倡导绿色消费行为,推进资源节约、环境友好型社会建设;建立健全绿色制度,提供经济社会发展保障。     

Can the green merger and acquisition strategy improve the environmental protection investment of listed company?

In recent years, heavy pollution enterprises often adopt green merger and acquisition (GMA) strategy to obtain green technology and resources, so as to realize the transformation and upgrading of pollution industry. Can GMA increase the environmental protection investment (EPI) and promote the green development of enterprises? The important marginal contribution of this paper is to explore the impact of GMA on EPI of heavy pollution listed companies, and compare the impact of different types of GMA on EPI. In this paper, PSM-DID method and nonlinear DID method are used for empirical analysis. The results show that GMA can promote EPI, and the marginal effect of horizontal GMA on EPI is greater than that of vertical GMA and mixed GMA. From the perspective of time effect, GMA has a U-shaped effect of first decreasing and then increasing on EPI. Impact path test shows that GMA inhibits EPI by increasing merger and acquisition cost and management cost, and promotes EPI by improving corporate reputation, environmental awareness, enhancing financing ability and subsidies. Based on the heterogeneity analysis of enterprise life cycle, horizontal GMA has a great impact on EPI in the growth stage. In maturation stage, vertical GMA can promote EPI greatly, but in recession stage, GMA can inhibit EPI.     

Industrial transformation towards sustainability of the energy system

Human induced climate change is one of the single most significant indicators that human society is not pursuing a sustainable trajectory. Managing the risks requires a major transformation of the way energy needs are met. Such a transformation includes changes in the production and consumption system and the incentive structure that shapes this system. The major driving force for transformation is the public concern about the environmental impact of the present fossil fuel based energy system. We may expect that energy producers, encouraged by governments, NGOs and consumer preferences will be responding to these concerns and expectations sooner or later. In fact a number of major international energy companies are presently adjusting their strategies to the needs and concerns of the public. A mix of measures including energy efficiency, a switch to natural gas, major investments in low carbon and renewable energy technologies and underground storage of carbon are elements of such new strategies. Consumers in a number of OECD countries have expressed their willingness to pay more for energy, provided it is green and clean. NGOs continue to put pressure on governments to deal with the climate problem. The challenge for governments is to develop an institutional framework that helps the producers and consumers to go through a transformation of the energy system. As different groups in society are likely to support different strategies, this paper suggests that a pluralistic policy approach including efficiency standards, renewable energy portfolio standards, carbon taxes, and the introduction of a system of tradable emission permits is the most promising approach for a transformation towards a low carbon energy economy. Research can support a transformation of the energy system by exploring the various transformation scenarios. Such research should take a multi-disciplinary approach, it should focus on the energy system as a whole, including production, consumption and the incentive structure that shapes the interaction between the two and it should be international in scope. This revised version was published online in July 2006 with corrections to the Cover Date.     

A transdisciplinary framework for environmental impact assessment: Opportunities and resistances among practitioners in Spain

Environmental issues, bringing together the natural and the social spheres, are probably one of the most appropriate fields of development for transdisciplinary research. Transdisciplinarity, in addition to other contemporary epistemological paradigms, stresses the need to approach complex problems by blending new forms of non-expert knowledge with combined epistemologies. However, practical application of the transdisciplinary approach is still almost non-existent in everyday socio-environmental management. This paper has a two-fold aim: firstly, to establish the suitability of the transdisciplinary approach in Environmental Impact Assessment (EIA) as a means of rectifying a common incapacity to address the social dimension in the assessment process; and secondly, to evaluate this idea from the perspective of technicians and professionals in the EIA sector in Spain. To this end, a qualitative methodology was used, based on semi-structured interviews, which enabled in-depth investigation of the willingness of specialists to effectively integrate new forms of knowledge into the EIA procedure. Further, interviewees evaluated the real possibilities of widening public participation in the process of identifying and assessing impacts and discussed the difficulties facing the treatment and analysis of the social dimension within the EIA process.     

Playing Pollution Games with Thermal Electricity Generators

This paper discusses the economic and environmental implications of a stylised electricity market with transmission grid constraints and shared temporal pollution standards that restrict the joint strategy space of the agents. These are problematic to enforce if individual monitoring is impossible or very expensive. For such situations, we propose a time-dependent (or “open-loop dynamic”), game-theoretic model capable of analysing coupled constraints equilibria, also known as generalised Nash. We compute these equilibria for thermal generators subjected to annual pollution limits and instantaneous grid restrictions for a three-node dc model with a two-period load duration curve. The model illustrates the possibility that well-meaning environmental regulation might harm consumer surplus. It also highlights the cost to efficiency of regulatory attempts to ease the burden of compliance.     

Human exposure, health hazards, and environmental regulations

United States environmental regulations, intended to protect human health, generally fail to address major sources of pollutants that endanger human health. These sources are surprisingly close to us and within our control, such as consumer products and building materials that we use within our homes, workplaces, schools, and other indoor environments. Even though these indoor sources account for nearly 90% of our pollutant exposure, they are virtually unregulated by existing laws. Even pollutant levels found in typical homes, if found outdoors, would often violate federal environmental standards. This article examines the importance of human exposure as a way to understand and reduce effects of pollutants on human health. Results from exposure studies challenge traditional thinking about pollutant hazards, and reveal deficiencies in our patchwork of laws. And results from epidemiological studies, showing increases in exposure-related diseases, underscore the need for new protections. Because we cannot rely solely on regulations to protect us, and because health effects from exposures can develop insidiously, greater efforts are needed to reduce and prevent significant exposures before they occur. Recommendations include the development and use of safer alternatives to common products, public education on ways to reduce exposure, systematic monitoring of human exposure to pollutants, and a precautionary approach in decision-making.     

Enhancing the effectiveness of multi-agent cooperation for green manufacturing: Dynamic co-evolution mechanism of a green technology innovation system based on the innovation value chain

A virtuous cycle of the green technology innovation (GTI) system (GTIS) can not only effectively serve GTI subjects in the system but also fully improve green manufacturing and reduce environmental pollution. The essence of the GTIS evolution of manufacturing enterprises (MEs) under multi-agent cooperation (MEUMAC) is encouraged by governments and led by MEs, which jointly promote the process of GTIS from low-end to high-end through interaction with universities, research institutions, supply chains, intermediaries and consumers. MEs cooperate with multiple GTI subjects to continuously improve the GTI level of MEUMAC, and the subsystems of the GTIS interact and coordinate dynamically. To promote the upgrade of the GTIS under multi-agent cooperation, the dynamic co-evolution mechanism of the GTIS needs to be explored. Innovation process is a value chain that transforms from knowledge creation to product promotion based on the innovation value chain. Based on system theory, this process can be solved through five parts: input, processing, output, feedback and upgrade. The structure and evolution path of the GTIS were analysed based on the innovation value chain theory and system theory. Logistic symbiotic response system is a typical system with self-organization characteristics, and the development law of the GTIS of MEUMAC is similar with the symbiotic system. Hence, an evolution model based on a Logistic model was constructed to determine state and control variables. The results show that the evolution of the GTIS of MEUMAC is the spatial advancement and temporal evolution of the system under the action of internal and external subjects, which is ultimately manifested as the process of the GTI performance output. The operation status of green technology is a key factor in the dynamic co-evolution of the GTIS of MEUMAC, which is the order parameter of the system. Environmental regulation policies (ERPs) have a strong positive incentive effect on the dynamic co-evolution of the GTIS of MEUMAC. Regarding the current ERPs, the effect intensity of different policies is command regulation, market regulation, public participation regulation and voluntary action regulation. The results of this study not only help MEs to optimize the implementation process of the GTIS and provide practical guidance to formulate ERPs but also extend the theoretical system of co-evolution and enrich the innovation value chain theory.     

The mediation of environmental assessment's influence: What role for power?

Considerable empirical research has been conducted on why policy tools such as environmental assessment (EA) often appear to have ‘little effect’ (after Weiss) on policy decisions. This article revisits this debate but looks at a mediating factor that has received limited attention to-date in the context of EA — political power. Using a tripartite analytical framework, a comparative analysis of the influence and significance of power in mediating environmental policy integration is undertaken. Power is analysed, albeit partially, through an exploration of institutions that underpin social order. Empirically, the research examines the case of a new approach to policy-level EA (essentially a form of Strategic Environmental Assessment) developed by the World Bank and its trial application to urban environmental governance and planning in Dhaka mega-city, Bangladesh. The research results demonstrate that power was intimately involved in mediating the influence of the policy EA approach, in both positive (enabling) and negative (constraining) ways. It is suggested that the policy EA approach was ultimately a manifestation of a corporate strategy to maintain the powerful position of the World Bank as a leading authority on international development which focuses on knowledge generation. Furthermore, as constitutive of an institution and reflecting the worldviews of its proponents, the development of a new approach to EA also represents a significant power play. This leads us to, firstly, emphasise the concepts of strategy and intentionality in theorising how and why EA tools are employed, succeed and fail; and secondly, reflect on the reasons why power has received such limited attention to-date in EA scholarship.     

How does environmental pollution erode political trust in China? A multilevel analysis

The impacts of environmental pollution extend beyond the issue of health. Using Chinese survey and administrative data, this study sheds new light on the political costs of environmental pollution. We show that citizens' trust in government officials declines significantly with higher levels of measured pollution, perceptions of increased pollution, and a greater degree of willingness to support environmental protection. Political trust is particularly low when measured as well as perceived pollution are severe. However, the effect of greater willingness to support environmental protection on the erosion of political trust is independent of measured pollution. Our findings suggest that there is a tipping point at which legitimacy acquired primarily through economic achievements could be undermined by environmental degradation, which is a byproduct of economic achievements. It is imperative for the Chinese government to achieve a balance between fast-paced growth and environmental sustainability, to pay attention to the potential political consequences of environmental issues, and to permit more public dialogues and deliberations on the topic of environmental governance.     

The impact of government preferences and environmental regulations on green development of China's marine economy

Green development is the fundamental way for high-quality development of marine economy. Achievement of green development goals of marine economy depends on the local government's decision-making preferences and reasonable marine-related environmental regulatory instruments. Based on 2007–2016 panel data of China's coastal provinces, this paper adopts the differential GMM(Gaussian Mixture Model) model to empirically analyze the impact of government preferences and environmental regulations on green development of marine economy. The results indicate that: lag exists in the promotion of environmental regulation on green development of marine economy.The impact of government preferences varies, in which, industrial preferences have a negative effect on green development of marine economy,while environmental preferences have a positive effect.The joint action of industrial preference and environmental preference inhibits green development of marine economy, while that of environmental preference and environmental regulation plays a promotion role. Different government preferences indicate different impacts in different regions. Environmental preference promotes the green development of marine economy in the Bohai Bay region, while industrial preference suppresses it. Both industrial preference and environmental preference in the Yangtze River Delta region have promotion effect, while only environmental preference in the Pan-Pearl River Delta region does so. Therefore, the government should establish a more complete official examination system, improve the marine environmental regulation system, and formulate differentiated green development policies for marine economy.     

Environmental design implementation in Taiwan's industries

This study investigated Taiwan's industries to identify the characteristics of companies most advanced in environmental design. Thirty design principles in five categories were used to define advanced environmental design. The five categories are: use of raw materials, use of energy, design for recyclability, product life cycle assessment, and packaging optimization. We found that of the 30 design principles only eight were applied consistently by Taiwanese manufacturers. Most effort was given to the “use of energy” category. The most advanced environmental design was found at large companies—those with over 2000 employees, 3 billion in capital, and/or 3 billion in annual sales.     

Follow-up to environmental impact assessment: Learning from the Canadian Government experience

The environmental impact assessment procedure for Canadian federal government projects is briefly described. In the non-legislated Canadian system, follow-up to assessments is one of the major means of encouraging and improving the implementation of environmental impact assessment and the quality of environmental work done around development projects. The results of a study on the status of follow-up in the Canadian Government are presented. Factors that limit and that are conducive to follow-up are discussed. The effectiveness of follow-up depends as much on the circumstances surrounding a project and the concerned parties as on the follow-up techniques used; both of these aspects can be addressed in the planning and management of follow-up and of environmental impact assessment overall. Areas for improving the management of follow-up are identified and discussed: planning of follow-up activities, coordination of concerned parties, generation of clear understandings, information management, resource allocation, and maintenance of credibility. A method for planning follow-up activities for specific projects is presented.     

Air Quality Improvement Estimation and Assessment Using Contingent Valuation Method, A Case Study in Beijing

The aim of the paper is to estimate and assess residents' willingness to pay to improve air quality in the urban area of Beijing using the Contingent Valuation Method (CVM). The mean willingness to pay (WTP) for a 50% reduction of harmful substances in the air was 143 CNY per household per year, and the total WTP of the residents in the study area was 336 million CNY per year. As a proportion of household annual income, the mean WTP amounted to 0.7%. Four socio-economic variables were found to have significant impacts on residents' willingness to pay. The analysis results illustrated that WTP increases with income and education level, and decreases with household population and age. The willingness was larger for residents in the urban districts than those in the suburban districts. It was found that most of the protest bids lay on interviewees' incomplete perception of the values of environmental amenity. The influence of household income on people's willingness to pay illustrated in this study reflects a causal force of Beijing's transition to market economy that households created to have disposable income are more likely to care about environmental quality. The results of this study strike an optimistic note on the possibility of measuring the total economic value of environmental quality improvement by using the CVM in China. Suggestions on implication of the CVM for both academics and policy makers are provided in the paper.     

An evidential reasoning-based AHP approach for the selection of environmentally-friendly designs

Due to the stringent environmental regulatory requirements being imposed by cross-national bodies in recent years, manufacturers have to minimize the environmental impact of their products. Among those environmental impact evaluation tools available, Life Cycle Assessment (LCA) is often employed to quantify the product's environmental impact throughout its entire life cycle. However, owing to the requirements of expert knowledge in environmental science and vast effort for data collection in carrying out LCA, as well as the common absence of complete product information during product development processes, there is a need to develop a more suitable tool for product designers. An evidential reasoning-based approach, which aims at providing a fast-track method to perform design alternative evaluations for non-LCA experts, is therefore introduced as a new initiative to deal with the incomplete or uncertain information. The proposed approach also enables decision makers to quantitatively assess the life cycle phases and design alternatives by comparing their potential environmental impacts, thus effectively and efficiently facilitates the identification of greener designs. A case application is carried out to demonstrate the applicability of the proposed approach.     

Ecosystem services inclusive strategic environmental assessment

A consistent framework to address biodiversity, ecosystem services and their societal values is now established with the MEA (Millennium Ecosystem Assessment) and the TEEB (The Economics of Ecosystems and Biodiversity). These and other studies point to the urgency in considering actions that can revert the process of degradation of biodiversity values and its supporting ecosystems. Safeguarding livelihoods is a common objective in ecosystem approaches as well as in strategic environmental assessment (SEA) effort to promote sustainability. Human activities, as direct and indirect development drivers, are crucial targets for SEA to have a strategic contribution in influencing priorities, by showing strategic reasons for change. Rather than keeping only a control and mitigation role on the assessment of effects and impacts of development on the environment, SEA has the capacity to understand the decisional and development context and to drive development opportunities into pathways that are inclusive of environmental and sustainability priorities. The development opportunities provided by ecosystem services can be explored in SEA through strategic approaches to enhance the value of the benefits and avoid the negative impact of human actions on ecosystem services. SENSU, a research team at IST-Portugal, advocates the strategic-based and collaborative oriented approach in SEA based on Partidario (2007) SEA framework of critical decision factors (CDF). A methodology to allow the consideration of ecosystem services in SEA is being developed and tested. This paper will share research advances on how ecosystem services can be incorporated into SEA as a fundamental component of strategic assessment in support of decision-making.     

Environmental degradation and remediation: is economics part of the problem?

It is argued that standard environmental economic and 'ecological economics', have the same fundamentals of valuation in terms of money, based on a demand curve derived from utilitymaximization. But this approach leads to three different measuresof value. An invariant measure of value exists only if the consumer has 'homothetic preferences'. In order to obtain a numerical estimate of value, specific functional forms are necessary, but typically these estimates do not converge. This is due to the fact that the underlying economic model is not structurally stable.According to neoclassical economics, any environmental remediation can be justified only in terms of increases in consumer satisfaction, balancing marginal gains against marginal costs. It is not surprising that the optimal policy obtained fromthis approach suggests only small reductions in greenhouse gases.We show that a unidimensional metric of consumer's utility measured in dollar terms can only trivialize the problem of global climate change.     

Artificial intelligence assisted intelligent planning framework for environmental restoration of terrestrial ecosystems

The environmental restoration of terrestrial ecosystems helps to protect the natural world and enhances sustainable land resource development. Modern and efficient approaches for the conservation of ecological functions must be established for more severe land degradation. In this paper, artificial intelligence assisted intelligent planning framework has been proposed to manage the environmental restoration of the terrestrial ecosystem. Facilitating balance of ecosystem service provision, demand, and using machine learning to dynamically build Biological Retreat Configuration (BRCs) that helps better to apprehend the influence of urban growth on environment-related procedures. Such factors can be used as a theoretical reference in the combination of commercial development and eco-friendly conservation. The BRC of the metro area of Changsha Zhuzhou Xiangtan (CZX) has been developed in this study to classify ecological sources using the Bayesian network model efficiently. Using the Least Collective Resistance (LCR) model and circuit theory, the environmental passage and environmental strategy points were established. The BRC was developed by integrating seven environmental factors with 35 ecological policy points. The results showed that the supply and demand of organic unit services (EUS) were spatially decoupled with the deterioration in locations with a significant EUS trend. The urban agglomeration's environmental sources and ecological corridors have been primarily located in forests and waters. The terrestrial environmental pathway has been scattered around the outer edge of the region, while the aquatic green corridor has been extended over the whole town. The environmentally sensitive areas were located primarily around the borders of the growing region and the intersections between land development and forest area. Finally, environmental components have been mainly identified in existing zones of biological defense, which support the effectiveness of Machine Learning (ML) in green sources forecasting and offer novel insight into the development of urban BRCs. The proposed approach has proven to be effective for the planning of assessing environmental restoration in terrestrial ecosystems.     

A performance evaluation of strategic environmental assessment (SEA) processes within the South African context

SEA has been described as being more about process than about product. Yet very little research has been conducted to gain a better understanding of how SEA processes perform within developing country contexts. To address this gap in knowledge the research underlying this paper aimed to evaluate the quality of SEA processes within the South African context against specifically designed key performance indicators. Comparison of the different data patterns revealed general SEA process features as well as three broad models, namely the ‘stand alone’, ‘central to decision making’ and ‘integrated’ models. The research results suggest a particularly poor performance in terms of process quality for the SEA case studies investigated. Moreover, it shows that there is no one understanding of SEA process within the South African context. The main limitations related to a weak understanding of the decision making processes SEA aimed to inform, as well as an inability to incorporate flexibility into process design. To take the debate forward it is proposed that SEA follow-up and effectiveness research be explored to determine which of these models (if any) ultimately contributed to influencing decision making and promote sustainability.     

Evaluating the environmental sustainability of biomass-based energy strategy: Using an impact matrix framework

A roadmap for a more sustainable energy strategy is complex, as its development interacts critically with the economic, social, and environmental dimensions of sustainable development. This paper applied an impact matrix method to evaluate the environmental sustainability and to identify the desirable policy objectives of biomass-based energy strategy for the case of Alberta. A matrix with the sustainability domains on one axis and areas of environmental impact on the other was presented to evaluate the nexus effect of policy objectives and bioenergy production.As per to our analysis, economic diversification, technological innovation, and resource conservation came up as the desirable policy objectives of sustainable development for Alberta because they demonstrated environmental benefits in all environmental impact categories, namely climate change, human health, and ecosystem. On the other hand, human health and ecosystem impacts were identified as trade-offs when the policy objectives for sustainability were energy security, job creation, and climate change. Thus, bioenergy can mitigate climate change but may impact human health and ecosystem which then in turn can become issues of concern. Energy strategies may result in shifting of risks from one environmental impact category to another, and from one sustainable domain to another if the technical and policy-related issues are not identified.