城市产业部门CO2排放三层次核算研究

城市是人类生产和生活的中心,超过75%的温室气体从城市产生,其中又以城市产业部门能源消费和工业过程非能源产生的CO2为主。本文基于投入产出模型,评价城市产业部门3个不同层次的CO2排放。以重庆为案例,核算其2002-2008年产业部门三个层次的CO2排放,包括能源消费直接排放、购买电力间接排放和全生命周期排放,并进行多层次对比。结果显示传统能源消耗和购买电力为对象的核算方法低估了产业部门CO2排放水平。2002-2008年,重庆各产业部门排放量逐年增加,碳排放强度整体呈现下降趋势。煤炭开采和洗选业、非金属矿采选业、非金属矿物制品业、电力、热力的生产和供应业,化学工业、金属冶炼及压延加工业、交通运输、仓储及邮电通讯业部门共7大行业是重庆碳排放的重点行业。部门交通设备制造业是重庆的优势产业,排放总量大,但是排放强度却相对较小,因此应大力发展该产业以促进重庆市低碳经济的发展。     

International trade,carbon leakage,and CO2 emissions of manufacturing industry

Foreign trade drives China’s growth,but as the trade scale continues to expand,the carbon emissions also increase quickly.Based on the industry panel data from 1996 to 2010,this paper calculates carbon emissions of 27manufacturing industries.According to the intensity of carbon emissions,this paper divides the manufacturing sectors into low carbon and high carbon manufacturing industry and then analyzes the carbon emission trends.Next,the paper uses the feasible generalized least square regression to verify the existence of environmental Kuznets curve（EKC）of the manufacturing industry’s carbon.In order to investigate the carbon leakage problem,the regression also includes the interaction term between trade and industrial value added.Our findings are as follows:the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry accord with the EKC curve,but have a linear relationship with the high carbon manufacturing industry;trade reduces the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry,but it increases those of the high carbon manufacturing industry;for the whole manufacturing industry and low carbon manufacturing industry,there is no carbon leakage,but it exists in the high carbon manufacturing industry.On the whole,pollution haven hypothesis does not hold up in China,and China does not need to limit industry foreign trade to reduce the emission of CO₂.But the manufacturing industry will still be the main engine of the economic growth,and therefore our country should make an effective low-carbon policy,introduce advanced technology,increase R&D investment into lowcarbon technologies,and upgrade and transform the original equipment to change the backward mode of production.     

基于二次能源省际调配的中国分省CO2排放量计算

节能减排目标任务的制定需要依据科学合理的CO2排放量测算。现有的IPCC提供的CO2排放量计算方法仅考虑一次能源燃料所产生的CO2,未考虑到二次能源省际调配的情况,不能真实反映各省CO2排放情况。本研究提出了考虑二次能源省际调配情况下CO2排放量的计算方法,并以2009年的数据为例,对各省能源消费CO2排放量进行了计算。考虑二次能源省际调配后,传统的能源大省如内蒙古、山西的CO2排放总量下降,东部沿海省份的CO2排放总量上升。中西部地区的CO2排放强度仍显著高于东部地区。中西部地区存在能源利用效率低、能源加工技术设备落后的情况,导致了西部地区的CO2排放强度偏高。建议中央在实施西部大开发"十二五"规划时,应当加强对中西部地区能源加工行业的投资,改善能源加工技术,改良加工设备,提高能源加工效率,降低CO2排放强度。建议由能源调入省向能源调出省份实施补偿。该部分补偿资金用于调出省的能源产业升级改造,以顺利实现节能减排的目标。     

技术进步路径选择与中国制造业出口隐含碳排放强度

本文采用考虑反馈性出口隐含碳的MRIO模型,测算了2000—2011年中国14个制造业行业出口隐含碳排放强度;在此基础上,基于全球价值链(GVC)分工地位的视角,理论分析并实证检验了不同技术进步路径对中国制造业出口隐含碳排放强度的影响。研究发现:中间品进口、自主研发、模仿创新显著降低了中国制造业出口隐含碳排放强度,而国外技术引进和外商直接投资(FDI)对中国制造业出口隐含碳排放强度的影响不显著;提升中国制造业在GVC中的国际分工地位能够显著降低其出口隐含碳排放强度。进一步研究发现,不同技术进步路径对中国制造业出口隐含碳排放强度的作用效果受到制造业在GVC中的国际分工地位的影响,并表现出明显的门槛特征,即只有中国制造业在GVC中的分工地位越过门槛值后,技术进步路径才能显著降低中国制造业出口隐含碳排放强度。此外,将制造业分为知识密集型、资本密集型和劳动密集型三类,发现不同技术进步路径对中国制造业出口隐含碳排放强度还存在着显著的行业差异。因此,中国制造业应充分发挥中间品进口、自主研发、模仿创新在降低中国制造业出口隐含碳排放强度中的作用,在引进FDI和国外技术的过程中,优先考虑引进发达国家的先进低碳制造技术和清洁生产技术。同时,中国制造业还应积极培育自身竞争优势,构建自我主导的国内价值链和区域价值链体系,主动嵌入全球创新链,提升中国制造业在GVC中的国际分工地位。此外,政府应根据技术创新和引进政策在不同制造业行业中的执行效果,有所侧重地制定和实施相关政策。     

Recent Changes in Stream Flashiness and Flooding,and Effects of Flood Management in North Carolina and Virginia

The southeastern United States has undergone anthropogenic changes in landscape structure, with the potential to increase (e.g., urbanization) and decrease (e.g., reservoir construction) stream flashiness and flooding. Assessment of the outcome of such change can provide insight into the efficacy of current strategies and policies to manage water resources. We (1) examined trends in precipitation, floods, and stream flashiness and (2) assessed the relative influence of land cover and flow‐regulating features (e.g., best management practices and artificial water bodies) on stream flashiness from 1991 to 2013. We found mean annual precipitation decreased, which coincided with decreasing trends in floods. In contrast, stream flashiness, overall, showed an increasing trend during the period of study. However, upon closer examination, 20 watersheds showed stable stream flashiness, whereas 5 increased and 6 decreased in flashiness. Urban watersheds were among those that increased or decreased in flashiness. Watersheds that increased in stream flashiness gained more urban cover, lost more forested cover and had fewer best management practices installed than urban watersheds that decreased in stream flashiness. We found best management practices are more effective than artificial water bodies in regulating flashy floods. Flashiness index is a valuable and straightforward metric to characterize changes in streamflow and help to assess the efficacy of management interventions.     

Characterization of coffee residues pellets and their performance in a residential combustor

Spent coffee grounds (SCG) and coffee husks (CH) were evaluated as biofuels, after densification, for energy production. CH represent a specific problem for the coffee industry due to a low calorific value, high ash content, and a very low bulk density. Hence, the energetic potential of SCG (95 wt%)/CH (5 wt%) blend and pure SCG (100%) were examined. The blend of SCG and CH was limited to 5 wt% of CH because of the low bulk density of CH. Therefore, physicochemical and energetic characterizations of the produced pellets were performed. Thermogravimetric analyses were performed under nitrogen and air atmospheres to evaluate the CH behavior in the blend. Characterization study shows that both produced pellets could reach the French Agropellets standard (AQI). Thermal degradation showed that the mean reactivity of the SCG/HC pellets was higher than pure SCG. Then, combustion experiments were performed in a domestic combustor, after modification of the boiler power in order to improve its energetic performances. The presence of CH led to a rise of CO, NOx, VOC’s, and particle emissions. Nevertheless, the performances of the biofuels are almost in agreement the NF EN 12809 standard.     

Regime shifts and resilience in China’s coastal ecosystems

Regime shift often results in large, abrupt, and persistent changes in the provision of ecosystem services and can therefore have significant impacts on human wellbeing. Understanding regime shifts has profound implications for ecosystem recovery and management. China’s coastal ecosystems have experienced substantial deterioration within the past decades, at a scale and speed the world has never seen before. Yet, information about this coastal ecosystem change from a dynamics perspective is quite limited. In this review, I synthesize existing information on coastal ecosystem regime shifts in China and discuss their interactions and cascading effects. The accumulation of regime shifts in China’s coastal ecosystems suggests that the desired system resilience has been profoundly eroded, increasing the potential of abrupt shifts to undesirable states at a larger scale, especially given multiple escalating pressures. Policy and management strategies need to incorporate resilience approaches in order to cope with future challenges and avoid major losses in China’s coastal ecosystem services.

Electronic supplementary material

The online version of this article (doi:10.1007/s13280-015-0692-2) contains supplementary material, which is available to authorized users.     

Reviving wood-pastures for biodiversity and people: A case study from western Estonia

Wood-pastures are associated with high cultural and biodiversity values in Europe. However, due to their relatively low productivity, large areas of wood-pastures have been lost over the last century. In some areas, incentive schemes have been developed to revive wood-pastures. We investigated the effects of one such scheme in western Estonia. We compared the structure of grazed wood-pastures (old and restored) to those of abandoned wood-pastures and ungrazed forest stands to explore the effects of management, and conducted interviews with 24 farmers to investigate their motivations to carry out the management. We found a positive influence of active management on the semi-open structure of wood-pastures. Financial support was vital for management, but personal values related to tradition also played an important role. The interviewees differed widely in their range of motivations, suggesting that other strategies in addition to financial incentives would further improve the management of wood-pastures in the region.

Electronic supplementary material

The online version of this article (doi:10.1007/s13280-015-0719-8) contains supplementary material, which is available to authorized users.     

Local and regional variability in snow conditions in northern Finland: A reindeer herding perspective

Weather station measurements were used to force the SNOWPACK snow model and combined with reindeer herders’ experiences to study the local and regional variations in snow conditions in a Finnish reindeer herding area for the 1981–2010 period. Winter conditions varied significantly between the four selected herding districts and between open and forest environments within the districts. The highest snow depths and densities, the thicknesses of ground ice, and the lengths of snow cover period were generally found in the northernmost districts. The snow depths showed the strongest regional coherence, whereas the thicknesses of ground ice were weakly correlated among the districts. The local variation in snow depths was higher than the regional variation and limits for rare or exceptional events varied notably between different districts and environments. The results highlight that forests diversify snow and foraging conditions, e.g., ground ice rarely forms simultaneously in different environments. Sufficient and diverse forest pastures are important during the critical winter season if reindeer herding is pursued on natural grazing grounds also in the future.     

中国工业CO_2排放的行业间传导网络及协同减排

工业是碳排放的主要部门,科学识别工业CO_2排放的行业间传导并揭示其联动结构对于跨行业协同减排具有重要的理论和现实意义。本文基于1991-2012年中国工业36个两位数行业数据,在VAR模型框架下,利用Granger因果检验方法对CO_2排放的行业间传导关系进行了识别,并从关系视角出发,借助社会网络分析方法(SNA)揭示工业CO_2排放行业间传导的整体和个体网络结构特征,研究发现:工业CO_2排放的行业间传导呈网络结构形态,网络密度在1-6期的滞后阶数下呈先升高后下降的趋势,并且在滞后2期达到最高;燃气生产和供应业、电力热力生产和供应业、服装业、造纸及纸制品业、木材加工业具有较高的度数中心度、中介中心度、接近中心度,在网络中处于核心位置,并发挥中介和桥梁作用;在CO_2排放的行业传导网络中,煤炭采选业、黑色金属矿采选业、有色金属矿采选业等10个行业属于经纪人板块,医药制造业、饮料制造业、化学纤维制造业等9个行业属于净受益板块,金属制品业、塑料制品业、农副食品加工业等11个行业属于双向溢出板块,烟草加工业、石油加工及炼焦业、燃气生产和供应业等6个行业属于净溢出板块。基于上述结论,本文提出了工业CO_2排放的跨行业协同减排思路。