共查询到18条相似文献,搜索用时 46 毫秒
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有效的碳普惠机制与森林碳汇产品的价值实现对中国生态文明的建设至关重要,理清公众森林碳汇购买意愿影响因素对森林碳汇政策的制定具有现实意义。基于计划行为理论、规范激活理论并融合生态文明思想内核,选用结构方程模型,利用515份社会公众问卷数据,实证检验了公众森林碳汇购买愿意影响因素及作用机理。结果表明:(1)公众森林碳汇购买意愿是理性和道德交互作用的结果,而非纯理性或纯道德驱动行为;(2)行为态度、感知规范和知觉行为控制都对公众森林碳汇购买意愿具有显著正向影响,但影响程度具有差异性,其中感知规范对购买意愿影响最大,因此公众环境道德素养是影响其森林碳汇购买行为的最重要因素;(3)社会公众森林碳汇购买意愿影响因素表征变量的具体作用表现不同:感知规范中,公众个体道德规范对其森林碳汇购买意愿影响最大;行为态度中,公众森林碳汇生态、政治效益认知对购买意愿影响最大;知觉行为控制中,森林碳汇信息量、森林碳汇价格等都是影响公众森林碳汇购买意愿的因素,但影响程度差异不大。 相似文献
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林业温室气体自愿减排项目既可以作为碳交易标的参与碳交易,又能作为生态产品助力“双碳”战略的实施,其减排量核算与价值评估对于项目决策及规划上市交易后反哺当地开发具有重要意义。基于蓄积—生物量方程法与缺省值法对吉林红石项目进行了碳汇核算与实物期权价值评估,结果表明:(1)该项目总计减排3.50×107t,年均减排量5.84×105t/a;项目占地2.95×105hm2,可以创造2334.50元/hm2的欧式看涨期权价值。(2)我国林业CCER的交易预期并不明朗,林业部门应及时调整采伐政策,交易部门需适时调整抵消比例以调动交易热度,开发者也要充分规划项目进程,避免产生较大沉没成本或难以达到预期收益。 相似文献
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广东长隆碳汇造林项目作为我国首个获得国家发展和改革委员会签发的林业温室气体自愿减排(CCER)项目,对于我国林业碳汇参与应对气候变化具有重要的示范意义。本文对广东长隆碳汇造林项目进行了成本收益分析,发现林业碳汇交易价格被远远低估,从而使该项目不具备经济上的可复制性。为探究交易价格被低估的原因,本文考察了林业碳汇市场的供需关系,发现目前碳交易市场对林业碳汇CCER需求不足仅是表象,供需错配才是实质。首先,从需求侧来看,广东省碳排放配额设置过于宽松,缺乏林业碳汇CCER的接纳能力;其次,就供给侧而言,CCER的交易成本很高,且项目申报要求业主为企业法人,这严重限制了林业碳汇CCER的有效供给。鉴于以上问题,本文提出应同时从林业碳汇CCER的需求侧和供给侧着手改革。就需求侧而言,收紧广东省碳排放配额总量,并将林业碳汇CCER交易由补充机制改为配额管理。就供给侧而言,可以结合广东省推进林业碳普惠制度,将项目申报主体和交易主体放宽到独立法人和个人,广泛吸收民间资本、培育大型林业企业开展碳汇造林项目;降低碳汇项目进入门槛,根据省情制定方法学,简化签批手续。 相似文献
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Timo Karjalainen 《Journal of environmental management》1996,47(4):311-328
The aim of this study was to assess the effects of forest management on carbon sequestration in forests and wood products by using a gap-type forest model interfaced with a wood product model. The assessment is based on total carbon sequestration, i.e. the amount of carbon left in vegetation, litter, soil organic matter and products when the flows of carbon back to the atmosphere have been subtracted. Thirty mixed-species stands, representing medium fertility sites in southern Finland, were included in each simulation for 300 years under current climatic conditions and predicted conditions of changing climate. The average total balance for the first 100 years was higher in the unmanaged system than in the managed system, but for the second and third 100-year periods the results were clearly opposite. Differences in the total balance between the treatments were larger during the first 100 years than over the whole 300-year period. Under conditions of changing climate, differences in carbon sequestration between management options were more pronounced than under current climatic conditions. Under current climatic conditions with the 100-year time frame, the ratio between the total annual balance and annual gross production was 0·208–0·289. Over the whole 300 years, however, efficiency was much lower, 0·088–0·121. Under changing climatic conditions, efficiency was also lower, 0·182–0·252 and 0·081–0·096, respectively. Different management alternatives clearly produced different amounts of timber for the production process; under conditions of changing climate, timber production was substantially enhanced. However, total carbon storages at the end of the simulation varied less than timber production. In the managed system, the flow back into the atmosphere was largest from litter, 41–51% of the total outflow, the flow from vegetation was 23–28%, from soil organic matter 22–25%, emissions from products 1–7%, and emissions from landfills 0–3%. If emissions due to the use of machinery in timber harvesting and transportation were included, they made up only 0·03–0·33% of the total outflow. 相似文献
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低碳化、清洁化是我国电力行业未来发展的方向。碳市场启动,电力作为试点行业,碳市场和电力市场面临着协调和融合问题。为研究碳市场和电力市场的耦合关系,本文首先分析了碳市场机制的成本节约效应以及与电力市场改革的互动效应;然后给出考虑碳排放价格的电力市场发电电能成本模型——LCOEe;最后以广东省为例,对广东碳市场碳价传导至电价设定情景并进行模拟分析。结果显示,碳市场和电力市场存在相互制约的关系,碳排放外部成本内部化影响电力市场出清电价,而电力市场能够缓解碳市场的减排压力,抑制碳市场的活跃度。两市场的耦合研究对于优化电源结构、促进新能源市场的发展,以及启发政策制定者重视两大市场的协同发展具有非常重要的现实意义。 相似文献
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Changes in forest and agricultural land management practices have the potential to increase carbon (C) storage by terrestrial
systems, thus offsetting C emissions to the atmosphere from energy production. This study assesses that potential for three
terrestrial management practices within the state of Virginia, USA: afforestation of marginal agricultural lands; afforestation
of riparian agricultural lands; and changing tillage practices for row crops; each was evaluated on a statewide basis and
for seven regions within the state. Lands eligible for each practice were identified, and the C storage potential of each
practice on those lands was estimated through a modeling procedure that utilized land-resource characteristics represented
in Geographic Information System databases. Marginal agricultural lands’ afforestation was found to have the greatest potential
(1.4 Tg C yr−1, on average, over the first 20 years) if applied on all eligible lands, followed by riparian afforestation (0.2 Tg C yr−1 over 20 years) and tillage conversion (0.1 Tg C yr−1 over 14 years). The regions with the largest potentials are the Ridge and Valley of western Virginia (due to extensive areas
of steep, shallow soils) and in the Mid-Atlantic Coastal Plain in eastern Virginia (wet soils). Although widespread and rapid
implementation of the three modeled practices could be expected to offset only about 3.4% of Virginia’s energy-related CO2 emissions over the following 20 years (equivalent to about 8.5% of a Kyoto Treaty–based target), they could contribute to
achievement of C-management goals if implemented along with other mitigation measures. 相似文献
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制定净零排放目标的企业数量快速增长助推自愿碳市场迅猛发展。由于能够吸引私营部门资金、降低新兴技术成本、助力难减排领域的减排行动,自愿碳市场可在弥合目前的减排差距方面发挥重要作用。《巴黎协定》确定的全球温升控制目标促进了碳中和行动的广泛开展,对自愿碳市场的运行提出了新的要求。本文深入分析了自愿碳市场在新气候治理阶段中面临的机遇和挑战,识别了影响未来自愿碳市场运行的关键要素,总结了自愿碳市场的四种主要运行模式及其发展路径。同时,本文从项目开发商、需求侧企业和政府等三个层面系统分析了新形势下自愿碳市场对我国的影响并给出了对策建议。 相似文献
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在全面推进乡村振兴背景下,探索碳汇产品价值实现是对习近平生态文明思想的践行,也是实现生态保护补偿和绿色发展的重要市场化手段。进入数字时代,基于区块链技术的智能合约,因技术优势带来的发展优势,其与各行业不断融合,并形成新的发展思路和发展业态。探索将智能合约技术嵌入碳汇产品交易,可以降低碳汇产品交易成本,提高碳汇产品交易效率。然而,新兴技术的应用是一把双刃剑,智能合约能够为碳汇产品价值实现带来诸多优势,但同时也将引发实体法、程序法以及新业态监管方面的挑战。因此,为实现智能合约在碳汇产品价值实现领域的全面可持续应用,应当从实体法、程序法以及新业态监管机制等方面,探索法律应对路径的理性回归。 相似文献
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Monitoring Forest Carbon Sequestration with Remote Sensing and Carbon Cycle Modeling 总被引:1,自引:0,他引:1
Sources and sinks of carbon associated with forests depend strongly on the management regime and spatial patterns in potential productivity. Satellite remote sensing can provide spatially explicit information on land cover, stand-age class, and harvesting. Carbon-cycle process models coupled to regional climate databases can provide information on potential rates of production and related rates of decomposition. The integration of remote sensing and modeling thus produces spatially explicit information on carbon storage and flux. This integrated approach was employed to compare carbon flux for the period 1992–1997 over two 165-km2 areas in western Oregon. The Coast Range study area was predominately private land managed for timber production, whereas the West Cascades study area was predominantly public land that was less productive but experienced little harvesting in the 1990s. In the Coast Range area, 17% of the land base was harvested between 1991 and 2000. Much of the area was in relatively young, productive-age classes that simulations indicate are a carbon sink. Mean annual harvest removals from the Coast Range were greater than mean annual net ecosystem production. On the West Cascades study area, a relatively small proportion (< 1%) of the land was harvested and the area as a whole was accumulating carbon. The spatially and temporally explicit nature of this approach permits identification of mechanisms underlying land base carbon flux.
Published online 相似文献
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V. Krishna Prasad K.V.S. Badarinath H. Tsuruta S. Sudo S. Yonemura John Cardina Benjamin Stinner Richard Moore Deborah Stinner Casey Hoy 《The Environmentalist》2003,23(2):175-187
Forests and soils are a major sink of carbon, and land use changes can affect the magnitude of above ground and below ground carbon stores and the net flux of carbon between the land and the atmosphere. Studies on methods for examining the future consequences of changes in patterns of land use change and carbon flux gains importance, as they provide different options for CO2 mitigation strategies. In this study, a simulation approach combining Markov chain processes and carbon pools for forests and soils has been implemented to study the carbon flows over a period of time. Markov chains have been computed by converting the land use change and forestry data of India from 1997 to 1999 into a matrix of conditional probabilities reflecting the changes from one class at time t to another class time t+1. Results from Markov modeling suggested Indian forests as a potential sink for 0.94 Gt carbon, with an increase in dense forest area of about 75.93 Mha and decrease of about 3.4 Mha and 5.0 Mha in open and scrub forests, if similar land use changes that occurred during 1997–1999 would continue. The limiting probabilities suggested 34.27 percent as dense forest, 6.90 as open forest, 0.4 percent mangrove forest, 0.1 percent scrub and 58 percent as non-forest area. Although Indian forests are found to be a potential carbon sink, analysis of results from transition probabilities for different years till 2050 suggests that, the forests will continue to be a source of about 20.59 MtC to the atmosphere. The implications of these results in the context of increasing anthropogenic pressure on open and scrub forests and their contribution to carbon source from land use change and forestry sector are discussed. Some of the mitigation aspects to reduce greenhouse gas emissions from land use change and forestry sector in India are also reviewed in the study. 相似文献