Environmental assessment and investment strategies of provincial industrial sector in China — Analysis based on DEA model

As an energy-intensive industry, the industrial sector consumes 70% of energy consumption and causes serious environmental pollution in China. Also, the government emphasized the promotion of R&D investment in the industrial sector in China's National Plan on Climate Change (2014–2020). It is meaningful and contributes to assessing energy and environmental performance, as well as R&D and industrial pollution control (IPC) investment strategies of China's industrial sector. A non-radial DEA model, as with natural and managerial disposability, was adopted to evaluate this from provincial and regional perspectives during the 2008–2012 period. Energy and environmental performance was evaluated by unified efficiency under natural disposability (UEN), unified efficiency under managerial disposability (UEM), and unified efficiency under natural and managerial disposability (UENM). The empirical results indicated that Shandong and Hainan were efficient under natural and managerial disposability, while other provinces had the potential to improve their energy and environmental performance. The number of provinces that was fit for investments of R&D and IPC increased from 2008 to 2010, then decreased in 2011 and 2012. In spite of this, many provincial industrial sectors should make efforts to reduce pollution by investment on technology. Tianjin, Heilongjiang, Jiangxi and Henan were especially the best investment objects because investments of R&D and IPC turned to be effective for them during the whole study period. Moreover, western China had the highest average UENM, followed by eastern China and central China. Eastern China and central China were rewarding to expand investments. Coal consumption was the main factor to negatively affect unified efficiency whereas the increase in economic development level was primarily responsible for the improvement of unified efficiency. According to the results, differentiated suggestions to further improve energy and environmental performance were proposed.     

Transboundary Pollution Control and Competitiveness Concerns in a Two-Country Differential Game

Environmental Modeling & Assessment - We analyze a transboundary pollution control problem in a heterogeneous two-country differential game setting in which regulators care for the implications...     

Mitigation Portfolio and Policy Instruments When Hedging Against Climate Policy and Technology Uncertainty

In this paper, we use a stochastic integrated assessment model to evaluate the effects of uncertainty about future carbon taxes and the costs of low-carbon power technologies. We assess the implications of such ambiguity on the mitigation portfolio under a variety of assumptions and evaluate the role of emission performance standards and renewable portfolios in accompanying a market-based climate policy. Results suggest that climate policy and technology uncertainties are important with varying effects on all abatement options. The effect varies with the technology, the type of uncertainty, and the level of risk. We show that carbon price uncertainty does not substantially change the level of abatement, but it does have an influence on the mitigation portfolio, reducing in particular energy R&D investments in advanced technologies. When investment costs are uncertain, investments are discouraged, especially during the early stages, but the effect is mitigated for the technologies with technological learning prospects. Overall, these insights support some level of regulation to encourage investments in coal equipped with carbon capture and storage and clean energy R&D.     

Human Capital,Innovation, and Climate Policy: an Integrated Assessment

This paper looks at the interplay between human capital and innovation when climate and educational policies are implemented. Following recent empirical studies, human capital and general purpose research and development (R&D) are introduced in an integrated assessment model used to study the dynamics of climate change mitigation. Our results suggest that climate policy stimulates general purpose as well as clean R&D but reduces the incentive to invest in human capital formation. Both innovation and human capital have a scale effect, which increases pollution, as well as a technique effect, which saves emissions for each unit of output produced. While the energy-saving effect prevails when innovation increases, human capital is pollution-using, also because of the gross complementarity between the labor and energy input. When the role of human capital is the key input in the production of general purpose and energy knowledge is accounted for, the crowding-out of education induced by climate policy is mitigated, though not completely offset. By contrast, a policy mix that combines educational as well as climate objectives offsets the human capital crowding-out, at moderate and short-term costs. Over the long run, the policy mix leads to global welfare gains.     

Prioritizing R&D for the U.S. Department of Energy's Weapons Complex Clean-Up

Prioritizing the U.S. Department of Energy's (DOE's) targeted R&D program supporting weapons-complex clean-up has been problematic. Considering issues common to all R&D evaluation, linking R&D prioritization to clean-up project prioritization, the latter aligned with institutional goals, offers a pragmatic solution. This method is illustrated with results of a clean-up prioritization model of DOE's Oak Ridge National Laboratory site.     

生物监测在跨界河流中的应用进展

综合分析了生物监测在跨界河流流经国家间的协调管理、生物类群的选择以及监测技术的选择方面所面临的问题;选择欧洲多瑙河、亚洲湄公河以及非洲尼日尔河等跨界河流作为典型案例,对比分析使用不同生物类群(例如底栖动物、浮游藻类以及鱼类)进行跨界河流生物监测的技术方法,阐述了跨界生物监测项目中的资金来源、管理办法和运行机制等;并对未来的跨界河流生物监测提出建议,以期为中国的跨界河流生物监测提供实践依据。     

Collaborative Science, Policy Development and Program Implementation in the Transboundary Georgia Basin/Puget Sound Ecosystem

The transboundary Georgia Basin Puget Sound ecosystem is situated in the southwest corner of British Columbia and northwest comer of Washington State. While bountiful and beautiful, this international region is facing significant threats to its marine and freshwater resources, air quality, habitats and species. These environmental challenges are compounded by rapid population growth and attendant uiban sprawl. As ecosystem stresses amplified and partnerships formed around possible solutions, it became increasingly clear that the shared sustainability challenges in the Georgia Basin and Puget Sound required shared solutions. Federal, state and provincial institutional arrangements were made between jurisdictions, which formalized small scale interest in transboundary management of this ecosystem. Formal agreements, however, can only do so much to further management of an ecosystem that spans international boarders. A transboundary regional research meeting, the 2003 GB/PS Research Conference, opened the doors for large-scale informal cross-boarder cooperation and management. In addition to cooperation, continued efforts to stem toxic pollution, contain urban growth, and protect and restore ecosystems, require a commitment from scientists, educators and policy makers to better integrate research and science with decision-making.Former Director of Planning and of Special Projects in the British Columbia Ministry of Municipal Affairs.     

The economics of transboundary air pollution in Europe

Acid rain is causing substantial damage in all Eastern and Western European countries. This article presents a stepwise linear optimisation model, that places transboundary air pollution by SO₂ and NO_x in a game theoretical framework. The national authorities of 28 countries are perceived as players in a game in which they can choose optimal strategies. It is illustrated that optimal national abatement programmes may be far from optimal if considered from an international point of view. Several scenarios are discussed, including a reference case, full cooperation, Pareto optimality and a critical loads approach. The need for international cooperation and regional differentiation of abatement programmes is emphasised.     

Saharan dust particles in snow samples of Alps and Apennines during an exceptional event of transboundary air pollution

Southern European countries are often affected in summer by transboundary air pollution from Saharan dust. However, very few studies deal with Saharan dust pollution at high altitudes in winter. In Italy, the exceptional event occurred on February 19, 2014, colored in red the entire mountain range (Alps and Apennines) and allowed to characterize the particulate matter deposited on snow from a morphological and chemical point of view. Snow samples were collected after this event in four areas in the Alps and one in the Apennines. The particulate matter of the melted snow samples was analyzed by scanning electron microscopy with energy dispersive X-ray spectrometry (SEM-EDS) and by inductively coupled plasma mass spectrometry (ICP-MS). These analyses confirmed the presence of Saharan dust particle components in all areas with similar percentages, supported also by the positive correlations between Mg-Ca, Al-Ca, Al-Mg, and Al-K in all samples.     

The Strategic Impact of Adaptation in a Transboundary Pollution Dynamic Game

This work studies the strategic impact of a region’s investment in adaptation measures on the equilibrium outcomes of a transboundary pollution dynamic game played in finite horizon. We incorporate adaptation as a region-specific capital stock that decreases local damages and study the feedback (subgame perfect) equilibrium of the non-cooperative game between two regions. In order to discern the impact of adaptation, we compare the equilibrium solutions of three scenarios, which differ in the regions’ ability to invest in adaptation measures. The results show that investing in adaptation gives regions an incentive to increase their emissions, which causes an inverse strategic response in the other region. The anticipation of a rise in pollution makes the other region respond by cutting its emissions and investing more in adaptation. The equilibrium trajectories of the stocks of pollution and adaptation capital follow the highest path over time when both regions adapt. When there is an asymmetry between regions in their adaptation capabilities, the region that does not (or cannot) adapt becomes worse off due to lower emissions and higher damages, while the adapting region finishes the game better off than the no-adaptation case.     

The role of physical and human capital in FDI-pollution-growth nexus in countries with different income groups: A simultaneity modeling analysis

This paper examines the causal links between foreign direct investment (FDI), CO₂ emissions, and economic growth in a global panel of 101 countries and four diverse income groups (low, lower-middle, upper-middle, and high) countries using the simultaneous equations framework, with data from 1990 to 2014. Considering physical capital and human capital, this is the first time these two determinants have been linked to the FDI-pollution-growth simultaneous equation model. The dependent variables in the three simultaneous equations are inflow of foreign direct investment, CO₂ emissions as a proxy for environmental pollution, and real gross domestic product. Three critical inferences can be drawn from the results. First, there is a two-way causal relationship between growth and FDI in the global panel and across all income groups (except for lower-middle-income groups). Likewise, except for high-income countries, there is a two-way causal relationship between FDI and CO₂ emissions in the global panel. Second, the results support a one-way causal relationship between economic growth and CO₂ emissions in the global panel and the income subgroup, but only in the low-middle and high-income groups support the environmental Kuznets curve (EKC) and pollution haven hypothesis (PHH). Third, the heterogeneous impact of human and physical capital on the environment is genuinely striking: human capital improves its quality while physical capital degrades it. The results suggest that physical and human capital contributes to economic growth and attracts foreign direct investment.     

江苏省土壤修复产业发展现状及对策分析

简述了江苏省土壤修复市场发展情况及土壤修复技术发展现状.从营商环境、市场竞争力、标准法规建设等方面分析存在的市场问题,提出应规范市场环境、培育企业竞争力,加强标准制定、模式创新和人才培养的建议.针对场地环境调查与风险评估技术有待提升、地下水修复技术研发工作投入不足、修复后土壤监测和安全再利用问题突出等技术问题,提出,应...     

Evolutionary game analysis of stakeholders' decision-making behaviours in construction and demolition waste management

Continuing industrial development has created large quantities of construction and demolition (C&D) waste, which has led to severe environmental and social problems. The aim of this study was to investigate the decision-making behaviours of stakeholders involved in C&D waste management. Based on evolutionary game theory, stakeholder decision-making behaviours in C&D waste management were analysed, and their influencing factors were identified, including government supervision costs, public participation costs, government penalties, government incentives, government supervisory intensity, probability of contractors conducting illegal dumping, probability of public participation, and probability of illegal dumping being detected. The results also revealed how government penalties and incentives impacted the decision-making behaviours of the contractors and public. Penalties and incentives can effectively reduce illegal C&D waste dumping behaviours, while excessive penalties and incentives have limitations in controlling illegal dumping. The model proposed in this research provides an experimental simulation platform to determine the appropriate values for government penalties and incentives for C&D waste management based on stakeholder decision-making behaviours. In addition, the research results for the stable strategy point of a three-party evolutionary game model demonstrated the importance of public participation in C&D waste management. These results may inform research hypotheses for future empirical studies and provide a simple model for developing appropriate government penalties and incentives in practice.     

Environmental quality control and environmental games

Conclusion  In this paper we have considered a specific environmental game emphasizing both control-prevention efforts and the propensity to pollute by a firm which adopts a given pollution abatement technology. A random payoff game was constructed and solved under a risk neutral assumption and quadratic utilities for both the firm and the environmental controller. The game thus defined, provides a wide range of interpretations and potential approaches for selecting a control-inspection policies to prevent environmental risks. There are of course many facets to this problem, which could be considered and have not been considered in sufficient depth. For example, more complex control mechanisms and liabilities, the effects of insurance and risk sharing, the application of cooperative efforts and subvention of pollution abatement investments (through tax incentives and their like), etc. have not been considered [5,7]. These are topics for further research. The basic presumption of this paper is that it is very difficult to fully enforce pollution prevention by firms, as a result, some controls are needed to ensure that firms be controlled so that appropriate efforts are carried.     

水库型河流锰污染应急监测技术研究

以贵州和湖南的跨省锰污染事故为例,详细阐述了该污染事故开展应急监测的全过程,并就水库型河流锰污染事故应急监测方案、分析技术选择、监测力量配置、质量控制等内容进行探讨,并总结了应急监测的技术和管理经验。     

我国环境污染治理投资的发展及存在问题

环境污染治理投资对于改善我国环境状况,遏制环境污染发展趋势具有重要作用.在界定了环境污染治理投资统计范围之后对我国环境污染治理投资的发展历程、投资结构进行了具体分析,其中重点分析了我国工业污染源治理投资的发展过程和投资结构,总结了我国环境污染治理投资存在的问题,以供决策部门参考.     

The Value of Better Information on Technology R&D Programs in Response to Climate Change

Expert elicitations are a promising method for determining how R&D investments are likely to have an impact on technological advance in climate change energy technologies. But, expert elicitations are time consuming and resource intensive. Thus, we investigate the value of the information gained in expert elicitations. More specifically, given baseline elicitations from one study, we estimate the expected value of better information (EVBI) from revisiting and improving these assessments. We find that the EVBI is very large in comparison with the cost of performing expert elicitations. We also find that EVBI is higher on technologies with larger budgets and with net values that are not too high or too low.     

Clustering the Concentrations of PM10 and O3: Application of Spatiotemporal Model–Based Clustering

Environmental Modeling & Assessment - Air pollution data are large-scale datasets that can be analyzed in low scales by clustering to recognize the pattern of pollution and have simpler and...     

Permits and effluent charges in the water pollution control policies of France,West Germany,and the Netherlands

In this article the water pollution control policies of these countries and their effects on emitters are analyzed. In the Netherlands, local water control boards levy pollution charges on both direct and indirect emitters. The charges are based upon measured emissions and actual treatment costs and they vary among the boards. Discharges into surface waters are by permission only. West German law sets nationally uniform rates only for direct emitters and some pollutants, irrespective of treatment costs. The States (Länder), however, may make indirect emitters liable to pay as well. In France, river basin agencies charge emitters and grant discounts where abatement facilities have been installed. Further policy instruments are tax cuts, subsidies, and standards set on local and national levels. France, in this complex policy, also uses contrats de branche where government and industries agree by contract on pollution abatement. Evidence shows that all these policies have reduced water pollution. As emissions decrease, problems of overcapacity might occur where collective water treatment plants have been installed already. Moreover, investment in additive abatement technology may inhibit the introduction of low-waste, integrated technologies. Yet the development of the latter, though expensive in the short run, should enable industry to meet more stringent standards in the future.     

Dynamic game strategies for construction and demolition waste recycling with learning and reference effects

Construction and demolition waste (C&DW) recycling can effectively reduce the environmental impacts caused by the massive amounts of untreated C&DW, and can promote the sustainable development of the construction industry. This study aims to provide relevant insights for the implementation of C&DW recycling, and can be practically used to guide participants' dynamic strategies in the presence of both the reference price effect and cost learning effect. Based on game theory, a static model is developed as a benchmark, including a construction materials manufacturer and a C&DW recycler under a government subsidy. Then, a dual-period dynamic model combining the learning and reference effects is established to broaden the understanding of C&DW recycling management. On this basis, the decisions and revenues of players are compared and analysed, and managerial insights are obtained through numerical analysis. It is found that both the learning and reference effects affect the manufacturer's decisions and revenues, and that the reference effect has a much greater impact on profit than the learning effect. In addition, only the learning effect has a positive influence on the recycler's recycling efforts and profits, thereby promoting C&DW recycling and reducing environmental impacts. Moreover, government subsidies always benefit the environment and recycler, and as the learning ability becomes stronger, the subsidy becomes more efficient in reducing the environmental impacts and improving the recycler's profit. Comparatively, the impact of subsidy on the manufacturer's profits depends on the learning ability. When the learning ability is relatively high, a higher subsidy is detrimental to the manufacturer in the short term but benefits it in the long term.