聚丙烯腈基活性炭纤维对自来水中总铝的去除

以改性处理过的聚丙烯腈基活性炭纤维(PAN-ACF)为吸附剂分析了其对自来水中总铝的吸附去除效果。结果表明,ACF对水中总铝有较好的吸附效果,较小的吸附剂使用量即可使水中余铝浓度在接触吸附仅20 s后降至5μg/L以下,较低温度对余铝浓度影响大。用动力学方程对吸附数据进行拟合,并对ACF的吸附等温线进行了研究。结果显示,ACF对水中总铝的吸附对伪二级动力学方程有较好的线性拟合性;相对于Langmuir型吸附等温线,其吸附更符合Freundlich型吸附等温线。该方法具有较强的实用性,可应用于自来水中总残余铝的去除。     

我国开征碳税的经济效应实证分析——基于西部地区十省市的数据

发展低碳经济是我国的基本方向和重要动力。碳税是达到既定碳减排目标成本最小的减排政策工具。本文以西部十省市的数据为蓝本,对我国开征碳税的经济效应进行了分析。得到以下结论：对我国西部地区征收碳税能够减少石化能源的消耗,起到节能减排的作用。但同时也会一定程度上抑制经济增长并且扩大资本和劳动要素的收入分配差距。因此,政府在征收碳税的同时应该平衡环境保护与经济发展的关系以及平衡环境保护和社会福利的关系。     

低碳经济视角下的企业营销

低碳经济时代,企业作为社会生产的主要力量,必须顺应时代要求,满足自身发展诉求,转变经营模式,企业营销也必须向低碳营销模式转变。企业可以从营销观念、营销意识、营销策略、营销管理等方面进行转变,实现适应低碳经济时代要求的全新发展。     

普洱市低碳经济发展路径选择

在发展低碳经济的全球大背景下,云南省普洱市具有得天独厚的天然优势,同时也面临着巨大挑战,普洱市应抓住荣获"中国十佳绿色城市"称号的机会,找准定位,积极开发新能源,优化升级产业结构,变革居民消费方式,走出一条有普洱特色的低碳经济发展路子。     

铁氰化钴修饰碳糊电极过氧化氢传感器的研究

研究了铁、钴、镍、铜与铋形成的普鲁士蓝及类普鲁士蓝的制备,并将它们用于修饰碳糊电极得到电化学传感器。研究表明：铁氰化钴修饰碳糊电极对H2O2有明显的电催化作用,将它用于H2O2的测定取得较好的结果,测定的线性范围为5．34×10^-6～5．34×10^-4mol·L^-1。该电极具有灵敏度高、稳定性和重现性好等特点。     

螺旋碳纤维化学镀镍及其电磁参数研究

采用化学镀法,以联氨作为还原剂,在螺旋碳纤维表面沉积金属镍,获得一种新的复合功能材料。通过SEM和EDX能谱分析,碳纤维基体上包覆了一层致密均匀而且连续的纯金属镍层,没有引入其它杂质元素。通过对样品在2~18 GHz范围内的电磁参数进行分析讨论,可知表面金属化一定程度上提高了样品的介电损耗,尤其在10~18 GHz有较大增幅,最大达到了35.2左右,表面金属化对样品的电阻率产生了不可忽略的影响,并且在低频处复合材料的电磁损耗都较纯基体材料有较大提高。     

低碳经济背景下嵩县菩莲山旅游业发展建议

低碳旅游是低碳经济大背景下的一种新型旅游形式,是实现旅游业可持续发展的根本需要之所在.菩莲山旅游地正处在起步阶段,在分析菩莲山旅游地资源状况的同时,分析了菩莲山在旅游开发中可能存在和遇到的问题,为避免菩莲山旅游地在旅游开发、发展中出现跟低碳旅游经济相悖的问题,提出菩莲山旅游地要在产品、交通、宣传以及基础设施等方面加大低碳旅游的开发力度,以保障菩莲山旅游业可持续健康发展.     

碳风险意识、低碳创新与碳绩效

在碳规制加强的背景下，引导企业事先察觉碳风险并通过低碳创新提高碳绩效,已成为一个重要的政策问题。本文以2011—2015年连续出具社会责任报告或可持续发展的企业作为研究样本，实证探析了碳风险意识影响碳绩效的传导机制以及低碳创新在其中的中介效应。研究表明：碳风险意识与企业低碳创新呈正相关；碳风险意识强的企业更愿意进行低碳创新，因而低碳创新成果也越多。研究还发现，低碳创新在碳风险意识与碳绩效两者关系间起不完全中介作用，即碳风险意识不仅仅只通过低碳创新对碳绩效产生影响。上述发现对我国企业加强碳风险意识、提高低碳创新水平及有效提升碳绩效具有重要的参考价值。     

低碳城市试点对企业绿色技术创新的影响

The low-carbon pilot policy has played an important role when China make efforts to achieve the carbon emission reduction targets. In order to study whether the construction of low-carbon pilot policy can induce enterprises to carry out green technology innovation, this paper uses China′s low-carbon pilot policy as a quasi-natural experiment, constructs a difference-in-difference-in-differences (DDD) model that "before-after the implementation of the low-carbon pilot policy; if or not in the pilot city; if or not belongs to the high carbon emission industry". Since the third batch of low-carbon pilot cities was officially announced in 2017, the duration of the policy is not enough for us to evaluate its effect, so we take the pilot cities announced in 2010 and 2012 as the main research object. The number of enterprises authorized green patents and micro-economic characteristics of listed companies in China from 2006 to 2017 were used to evaluate the effect of the low-carbon pilot policy on enterprises′ green technology innovation, and explore whether the Porter hypothesis based on China′s low-carbon pilot policy is valid. The results show that: (1) The implementation of the low-carbon pilot policy has significantly improved the green technology innovation level of high-carbon emission enterprises in the pilot cities. The policy has increased the proportion of green patents of high-carbon emission enterprises in the pilot area by 0.929%, and the coefficient is significant at the 5% significance level. Furthermore, the low-carbon pilot policy has a positive effect on both green invention patent and green utility model patent of high-carbon emission enterprises in the pilot area, but has a more significant effect on the green utility model patent. The conclusion of the DDD estimation confirms the validity of the Porter hypothesis based on the low-carbon pilot policy in China. (2)In order to solve the problem of sample selection bias caused by the difference in initial conditions between the treat group and the control group, this paper introduces the propensity score matching method (PSM), and adopts the propensity score matching-DDD (PSM-DDD) method for the first time to explore the effect of the low-carbon pilot policy on green technological innovation of high carbon emission enterprises within pilot cities. The effectiveness of the matching process is proved through the matching balance test and drawing the propensity score value density function graph. The results of the PSM-DDD are basically similar to those obtained by the DDD method. At the same time, this paper proves the validity of the conclusions through parallel trend hypothesis test and a series of robustness tests. (3)The analysis of enterprises geographic heterogeneity shows that the low-carbon pilot policy has significantly improved the green technology innovation of high carbon emission enterprises within the pilot cities in the eastern and western regions, but for those in the central region, the low-carbon pilot policy even has a negative inhibitory effect on their green technology innovation. After grouping the data by patent types, we can see that, for green invention patents, the low-carbon pilot policy can significantly promote the green invention patents of high-carbon emission enterprises in the pilot cities in the eastern and western regions, but it has no significant impact on enterprises in the central region; for green utility model patents, the low-carbon pilot policy only has a positive effect on the utility model patents of high-carbon emission enterprises in the pilot cities in the eastern region, but has no significant impact on the green utility model patents of enterprises in the central and western regions.  (4)The analysis of enterprise ownership heterogeneity shows that the low-carbon pilot policy has significantly improved the green technological innovation of non-state-owned high-carbon emission enterprises in the pilot cities, but has no significant impact on the green technology innovation of state-owned enterprises in the pilot cities. Among them, the low-carbon pilot policy has a significant positive effect on promoting both green invention patents and utility model patents of non-state-owned high-carbon emission enterprises in the pilot cities. As for the state-owned high-carbon emission enterprises in the pilot cities, the low-carbon pilot policy only has a positive effect on their green utility model patents, but has no significant impact on green invention patents. The results of this paper further expand the study on the Porter hypothesis and the evaluation of the low-carbon pilot policy.     

基于STRPAT模型的碳排放情景分析

科学合理预测碳排放发展,对建设低碳城市具有重要的指导意义。本文以东莞市为例,采用基于扩展STIRPAT模型,通过岭回归拟合得到碳排放量与GDP、人口、城市化、人均消费支出、工业化及能源利用效率的多元线性模型,在此基础上,根据低碳社会发展各个不同阶段设定基准情景、低碳情景、节能情景等3种情景,对碳排放量进行预测及减排潜力分析。结果表明,人口数量对碳排放的影响最大,城市化率影响最小,碳排放量在基准情景下预计2020年为8246t,2025年达到8177t,而节能情景、低碳情景碳排放量均有不同程度的下降,在低碳发展的政策措施及一系列低碳发展行动与技术支撑下,东莞市碳排放仍具有较大的减排潜力。