世界区域经济合作发展与我国的战略抉择

区域经济一体化是当今国际经济合作的一个趋势,我国作为发展中大国和世界贸易大国应把握好这一机遇,积极参与并合理规划,为我国经济发展赢得良好和稳定的外部空间。从世界区域经济合作的发展历程、发展动因分析,进而归纳我国在这方面正确的应对策略。     

对俄贸易活动中的俄语语言文字使用规范

语言是人类交往的工具,尤其在贸易活动中规范化使用语言是贸易活动正常进行的必然要求。随着中俄经贸关系的发展,俄语作为中俄贸易的工具和栽体的作用不容忽视。而俄语在商贸活动中的规范使用主要通过正确互致称呼语、准确翻译名片、精确的拟定贸易函电、贸易文本等翻译性质的活动体现。     

贸易政策与制度创新

当今世界各国的贸易政策各不相同。正确认识当今各国对外贸易政策的性质和动机,才能正确定位中国的贸易政策。我国在入世后,对外经贸要有较大的发展,就需要一种创新的贸易管理体制来支撑,如果制度不创新,发展成本就大,也难以持久。反之,我国对外贸易就能以较小的代价得到持续的发展。管理贸易应是一种可行的制度安排。     

基于碳转移的部门碳分配研究

通过IOA分析碳排放在产业间的转移特征,分别从生产者原则及消费者原则研究各部门的碳排放,并通过ZSG-DEA对各部门的碳排放权进行分配,以实现帕累托最优时的最优碳配置。结果发现,两个原则下的碳分配情况存在很大的差异。因此,必须把握两种原则的异质性以实现"共同但有差异"的减排目标。     

Free radical generation and lipid peroxidation among the dry cell industry workers exposed to carbon

A total of 75 healthy male dry cell industry workers exposed to carbon for 5, 8 and 10 years were compared with 48 controls matched for age and economic status with respect to free radical generation, lipid peroxidation and antioxidant levels. Lymphocytes were seperated from the whole blood and used for estimation of free radicals and antioxidants. Plasma lipid peroxidation products were estimated in the form of thiobarbituric acid reactive substances. Significant increase in free radical generation and lipid peroxidation products were observed in carbon exposed population than controls, and the increase was found to be significant with increase in the period of exposure. The levels of antioxidants i.e., superoxide dismutase (SOD) and catalase were found to decrease with the increase in exposure to carbon in industrial workers. These results suggest that exposure to carbon augments free radical generation, lipid peroxidation and promotes decline in antioxidant enzymes.     

滨下武志的朝贡贸易体系理论述评

以中国为中心、包括东亚和东南亚各个国家和地区的朝贡贸易体系在该地区近代经济的发展中发挥了重要作用,在此基础上形成的亚洲经济圈,不仅在前近代,而且在近代也规定着东亚和东南亚经济的发展方向。     

关于我国期货投资咨询业务的定位探索

期货公司除了从事经纪业务之外,未来可从事期货投资咨询业务.本文立足于我国期货市场的发展现状,在吸取了我国证券投资咨询公司和美国商品交易顾问业务经验的基础上,分析了我国"新兴加转轨"的市场特征,提出了期货投资咨询业务的定位设想.     

新形势下西北地区碳排放及低碳化发展研究——以陕西省为例

在西部大开发战略实施十周年、基础设施建设瓶颈基本突破,国际金融危机持续影响和碳排放压力日趋增大的新形势下,我国西北地区面临着权衡发展权与排放权,促进区域社会经济全面快速发展与减少CO2排放的双重压力与挑战。本文以陕西省为例,对其自新中国成立以来碳排放的数量和结构变化进行回顾,并利用SPSS软件从经济总量、产业结构、消费特征、能源结构和利用效率等方面对影响其变化的主要因素进行分析。在此基础上结合陕西省的客观实际,指出其今后应从碳源和碳汇两个角度,三次产业、低碳生活和碳汇的五个层面走低碳化的发展道路,即:①创建有机、生态、高效的新农业;②优化二产结构,建立循环经济园区,改善能源消费;③聚焦产业链两端,大力发展现代服务业;④倡导绿色消费,塑造低碳生活;⑤植树种草,扩大碳汇。     

国家生态文明试验区背景下海南蓝碳开发的理论分析与路径建议

在国家生态文明试验区建设的背景下,海南蓝碳开发是一个具有理论与实践意义的重要问题.蓝碳在生态保护、经济发展、地区合作等方面具有重要开发价值.从政治学、经济学和管理学等跨学科视角,运用公共物品、外部性、协同治理等理论可以对蓝碳开发进行理论分析.基于开发价值与理论分析提出海南蓝碳开发的路径建议,包括基于公共物品理论的生态保护建议、基于外部性理论的经济发展建议和基于协同治理理论的地区合作建议等.     

Online portfolio management via deep reinforcement learning with high-frequency data

Recently, models that based on Transformer (Vaswani et al., 2017) have yielded superior results in many sequence modeling tasks. The ability of Transformer to capture long-range dependencies and interactions makes it possible to apply it in the field of portfolio management (PM). However, the built-in quadratic complexity of the Transformer prevents its direct application to the PM task. To solve this problem, in this paper, we propose a deep reinforcement learning-based PM framework called LSRE-CAAN, with two important components: a long sequence representations extractor and a cross-asset attention network. Direct Policy Gradient is used to solve the sequential decision problem in the PM process. We conduct numerical experiments in three aspects using four different cryptocurrency datasets, and the empirical results show that our framework is more effective than both traditional and state-of-the-art (SOTA) online portfolio strategies, achieving a 6x return on the best dataset. In terms of risk metrics, our framework has an average volatility risk of 0.46 and an average maximum drawdown risk of 0.27 across the four datasets, both of which are lower than the vast majority of SOTA strategies. In addition, while the vast majority of SOTA strategies maintain a poor turnover rate of approximately greater than 50% on average, our framework enjoys a relatively low turnover rate on all datasets, efficiency analysis illustrates that our framework no longer has the quadratic dependency limitation.