排污权交易初探

主要探讨了排污权交易在配置社会资源和管理环境中所起的重要作用,以及排污权交易在我国的实施情况。     

Integrated models to support multiobjective ecological restoration decisions

Many objectives motivate ecological restoration, including improving vegetation condition, increasing the range and abundance of threatened species, and improving species richness and diversity. Although models have been used to examine the outcomes of ecological restoration, few researchers have attempted to develop models to account for multiple, potentially competing objectives. We developed a combined state‐and‐transition, species‐distribution model to predict the effects of restoration actions on vegetation condition and extent, bird diversity, and the distribution of several bird species in southeastern Australian woodlands. The actions reflected several management objectives. We then validated the models against an independent data set and investigated how the best management decision might change when objectives were valued differently. We also used model results to identify effective restoration options for vegetation and bird species under a constrained budget. In the examples we evaluated, no one action (improving vegetation condition and extent, increasing bird diversity, or increasing the probability of occurrence for threatened species) provided the best outcome across all objectives. In agricultural lands, the optimal management actions for promoting the occurrence of the Brown Treecreeper (Climacteris picumnus), an iconic threatened species, resulted in little improvement in the extent of the vegetation and a high probability of decreased vegetation condition. This result highlights that the best management action in any situation depends on how much the different objectives are valued. In our example scenario, no management or weed control were most likely to be the best management options to satisfy multiple restoration objectives. Our approach to exploring trade‐offs in management outcomes through integrated modeling and structured decision‐support approaches has wide application for situations in which trade‐offs exist between competing conservation objectives.     

Influences of Border Carbon Adjustments on China’s Foreign Trade

The EU, the United States and other economies, with the intention to implement unilateral trade measures Border Carbon Adjustments, impose emission reduction pressure on developing countries. Once implemented, the measures will have great impact on China’s foreign trade. Using the input-output table in 2007, this paper had analyzed the influences on China’s foreign trade as a whole and sub-sectors in three tax rates scenarios. The results showed that the tariff level of China’s exports will increase by 3.6%-6.3% if the tax was levied on exports embodied emissions, and by 1.0%-1.7% if levied on export direct emissions. In 2007, the former total amount of carbon tax was about US$42.6-73.0 billion, 4 times that of the latter. Based on export embodied emissions, sectors largely influenced were non-traditional energy intensive ones, such as textile, et al. These sectors should be encour-aged to carry out industrial upgrading, raising the value-added of export goods, and reducing their embodied emissions by reduction of energy intensity. Taking into account of the complexity of data collection, the tax levied on products direct emission is more operational. The results showed that the five top sectors most affected were other chemical materials, processing of petroleum and nuclear fuel, coking, smelting and rolling of ferrous metal and textile. Most of them were energy intensive sectors. Therefore, adjusting export products structure, and controlling too fast development of energy intensive industries are also important strategies in China.     

总量控制与交易机制中的碳补偿制度研究

总量控制与交易机制中的碳补偿制度是一种有助于受控企业灵活履行减排义务的制度,能有效降低企业减排成本、提高经济效率、增强减排动力。发达国家非常重视这一制度的发展,并在研究、立法、实际应用方面取得了一定的成效。本文从碳补偿制度在发达国家的发展现状入手,对该制度的基本架构和交易情况进行了分析与研究;同时结合国际经验,对碳补偿制度在中国的发展提出了几点建议,为正在进行的区域碳交易试点以及未来建设全国范围的碳交易市场做准备。     

The socioeconomic and environmental drivers of the COVID-19 pandemic: A review

In recent decades, there has been an intensification of the socioeconomic and environmental drivers of pandemics, including ecosystem conversion, meat consumption, urbanization, and connectivity among cities and countries. This paper reviews how these four systemic drivers help explain the dynamics of the COVID-19 pandemic and other recent emerging infectious diseases, and the policies that can be adopted to mitigate their risks. Land-use change and meat consumption increase the likelihood of pathogen spillover from animals to people. The risk that such zoonotic outbreaks will then spread to become pandemics is magnified by growing urban populations and the networks of trade and travel within and among countries. Zoonotic spillover can be mitigated through habitat protection and restrictions on the wildlife trade. Containing infectious disease spread requires a high degree of coordination among institutions across geographic jurisdictions and economic sectors, all backed by international investment and cooperation.     

The future of sustainability in the context of COVID-19

The COVID-19 pandemic is a global crisis emanating both from a virus (SARS-CoV-2) and from the drastic actions to contain it. Here, we reflect on the immediate responses of most world powers amid the pandemic chaos: totalitarian surveillance and nationalist isolation. Drawing on published literature, we consider measures such as wildlife-use bans, lockdowns and travel restrictions, along with their reverberations for people, economies and the planet. Our synthesis highlights significant shortfalls of applying command-and-control tactics in emergencies. For one, heavy-handed bans risk enormous unintended consequences and tend to fail if they lack legitimacy or clash with people’s values. Furthermore, reactive and myopic strategies typically view the pandemic as a stand-alone crisis, rather than unravelling the complex interplay of nature-society interactions through which zoonotic diseases originate. A return to adaptive management approaches that recognise root causes and foster socio-ecological resilience will be essential to improve human and planetary health and mitigate future pandemics.     

北京试点碳市场行业基准值研究——以供热行业为例

以北京试点碳市场的供热行业为例开展行业基准值研究,基于2013～2019年碳试点经核查的热力重点排放企业数据,采取4种基准线情景对北京市热力行业碳排放基准值进行分析,结果表明:随着北京市大气污染治理措施推进,供热行业燃煤清洁化改造基本完成,以2017年为分水岭,供热强度由快速下降过渡到平稳状态,适宜选择更近的历史年份作为分析的基准年,经综合评估基准线数值的先进性,行业配额的盈余程度和配额不足企业比例,建议北京市供热行业基准值取值为63.1kgCO₂/GJ,该基准值比已发布的北京市地方行业能耗限额标准严格,与已发布的北京市供热行业碳排放先进值具有较好一致性;北京市热力行业从历史强度法转变为基准线法后,通过划定统一的基准线,令行业整体配额处于不足状态,公平性相比历史强度法进一步提高,对实现全市双碳目标下热力系统重构具有积极促进作用.     

国际贸易“碳中和”研究热点领域及其动向

碳中和是世界各国面临的共同问题。经济全球化与贸易自由化背景下国际贸易总量快速增长,伴随着深度国际分工与产业转移,贸易产品的生产者与消费者在陆表形成严重的空间位移。利用文献计量软件CiteSpace分析国际贸易主题下碳中和相关文献,揭示国际贸易“碳中和”研究动向。研究发现：（1）温室气体在全球范围时空演变,使跨区域、多尺度的全球碳治理变得更加复杂,发达国家将高污染与低价值链产业转移至各发展中国家,以生产者责任划分的碳核算原则不再适用于国际贸易合作。（2）进出口贸易逐渐成为新兴经济体经济发展动力,全球碳治理应转向新兴经济体与区域一体化,全球气候政策设计应遵守国际碳市场公平性底线,不断优化碳排放量核算体系,完善碳会计方法,模拟全球碳减排预期效果。重点提高产业部门碳减排意识和产业清洁技术及能源利用效率,利用多种手段改变生态系统的增汇减碳能力。新兴经济体在承接发达国家技术援助同时,应重点关注本国能源产业,发展可再生能源产业,提高能源的利用效率,并运用经济政策与金融工具促进本国的气候变化投融资产业发展。全球碳治理应更加注重公平性与国家间的经济发展、环境资源差异,利用多样的碳治理工具与协商合作方式,促使更多国家参与全球化或区域一体化的碳治理模式。（3）中国亟待通过国内多产业、多部门的增汇减排与国际碳减排、碳中和实践,健全碳市场机制,提高碳治理水平,为国际碳治理合作提供“最大公约数”。     

京津冀及周边地区区域贸易隐含二氧化硫排放

京津冀及周边地区(包括北京、天津、河北、山东、山西和河南)是我国大气污染重点控制区域,厘清这一地区内部各省各行业之间贸易隐含污染物排放是加强区域产业协作、推进区域大气污染联防联控的重要前提.本研究以二氧化硫(SO_2)为对象,结合自下而上排放清单与中国多区域投入产出(MRIO)模型,估算了2012年京津冀及周边地区各省(直辖市)和各行业之间的贸易隐含污染排放,并基于产业链分析了区域贸易对重点行业SO_2的排放贡献,识别了主导排放的区域贸易产业链.研究结果表明,在京津冀及周边地区六省市之间,河北和山西是主要隐含排放输出区域,北京和天津是主要的隐含排放输入区域.京津冀及周边地区SO_2排放主要来源于能源动力行业、金属冶炼和制品制造业、非金属矿物制品和化学工业,而装备制造业、建筑业和服务业是拉动四类重点行业SO_2排放的主要产业.进一步分析六省市内部排放与区域产业链之间的关系发现,山西省是主要的能源消费SO_2排放输出区域;河北省是主要的金属冶炼和金属制品隐含排放输出区域;河北和河南是主要的非金属矿物制品隐含排放输出区域;山西是主要的石化与化工隐含排放输出区域.以上结果有助于理解京津冀及周边地区大气污染排放与产业结构的关系,为制定区域环境管理政策,优化区域产业结构提供支撑.     

近年来中国边境贸易研究的问题与发展趋势

自古以来,边境贸易是我国对外经济交流的主要方式.近年来对我国边境研究较多,主要集中在我国边境贸易发展的历史总结、政策规范、边境贸易与区域经发展等方面,但对边境贸易与边境安全、边境贸易过程中跨境民族问题和我国边境贸易的优势等方面的研究较少.随着研究的不断深入,针对边境贸易出现了边境地区当地居民参与边境贸易过程、边境贸易与大尺度区域经济发展、"区位论"视角下的边境贸易等新动向.