吉林市中低收入群体医疗服务需求的调查分析

对吉林省吉林市315户中低收入家庭进行问卷调查的结果表明：部分中低收入群体的医疗费用负担沉重;城镇居民基本医疗保险的实效性较差;居民对医保政策缺乏了解;社区卫生服务机构没有充分发挥作用。强化政府责任,加大宣传力度,加强社区基础医疗卫生服务机构建设,提高居民医疗保障待遇,是完善我国中低收入群体医疗需求的有效途径。     

保险公司诉讼与诉讼预期相关性研究

近年来我国保险诉讼案件增势不减,有的历经一审、二审,有的还要再审。从媒体披露的结果看,保险公司无论作为原告还是被告,似乎都是胜少败多。本文通过对北京某人寿保险股份有限公司2005年～2008年诉讼、诉讼预期数据的实证调研,探讨保险公司诉讼预期是否实现及实现程度,在此基础上提出更理性、更具可操作性的建议。     

行为公司财务的最新发展及其启示

行为金融学目前已逐渐成为金融学研究中的一个重要领域,在它的影响下,公司财务领域内也形成了行为公司财务的研究范式。与经典的公司财务理论相比,行为公司财务引入了行为因素的影响,它认为外部市场的非有效性和内部管理者的非理性影响着公司的财务决策和公司价值最大化的行为。文章简单总结了行为公司财务的最新研究进展,也就是市场的非有效性和管理者的非理性对公司的融资政策、投资政策、股利政策和并购行为等各方面的影响。针对目前我国资本市场的非有效性,文章认为在我国上市公司的财务研究中应该引入行为公司财务的理论范式和研究方法,才能使得研究前提和结果符合我国的实际经济情况。     

中美证券公司资本配置差异分析

中国证券行业发展速度很快,但是效益普遍不好,亏损面很大,除外部环境制约外,内部资本运营水平不高仍是关键因素.本文选择有代表性的美国若干证券公司,解析其资产负债结构、收入结构等资本配置和运营形式,从而为我国证券公司找到差距和提供可借鉴之处,以改善中国证券行业经营状况,增强其抵抗与日俱增的各种风险之能力.     

双寡头市场价格博弈分析——以我国国内成品油市场竞争主体为例

用博弈论分析市场行为是经济学的发展方向之一,本文从实证分析国内成品油市场中国石化与中国石油两大寡头的多种博弈情形及其收益变化过程,论证了在市场需求总量基本恒定状态下,双寡头市场价格博弈的纳什均衡解为(降价、降价),(不降价、不降价),前一种均衡解是双方在势均力敌、信息反馈充分的恶性竞争结果,后一种是在满足一定收益前提下的“双赢”策略。企业只有选择有别于竞争对手的非价格歧异性策略,形成自己的特色和优势,才能占领相应的市场,获得相应的经济效益。     

山东省城镇居民收入差距问题研究

随着市场经济的迅速发展,山东省城镇居民的收入水平有了大幅度的提高。但与此同时,城镇居民收入差距进一步扩大的问题也引起了社会的关注。本文通过采集山东省分阶层城镇居民家庭人均年收入的相关资料,对城镇居民收入差距问题进行了分析,明确差距形成的原因并提出相关对策建议。     

Government support and bank performance during the 2007–2008 financial crisis

Though previous studies suggest a state participation has a negative impact on banks, this paper highlights the potential benefits of state ownership for confidence and stability in the post-crisis period that can outweigh the inefficiencies and potential for corruption of political intervention. We find that the state guarantees are valuable during the crisis. The negative (positive) relation between state ownership and bank profitability (risk) is mitigated in the post-crisis period. Financially troubled banks that receive a transfer payment or capital injection experience improved performance during the post-bailout period.     

Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

Regional integration: an empirical assessment of Russia

Using a statistical model of commodity trade, we quantify the evolution of regional economic integration within Russia during 1995–1999, and explore potential determinants of this evolution. Our integration measure exhibits rich regional variation that, when aggregated to the national level, fluctuates substantially over time. In accounting for this behavior, we draw in part on theoretical models that emphasize the potential role of openness to international trade and regional disparities in income in threatening economic integration. Controlling for a host of additional regional- and national-level variables, we find a strong negative correspondence between openness to international trade and internal economic integration.     

Carbon taxes and the double dividend hypothesis in a recursive-dynamic CGE model for Spain

A carbon tax is potentially a policy that can reduce CO₂ emissions and mitigate climate risks, at lowest economy-wide costs. We develop a dynamic CGE model for Spain to assess the economic and environmental effects of a carbon tax, and test the double dividend (DD) hypothesis. We simulate the impact of three carbon taxes: €10, €20 and €30 per ton of CO₂. For each tax, four ‘revenue recycling’ scenarios are examined: a reduction of taxes on capital, on labor, on value-added tax, and a scenario in which revenues are not recycled. We find a DD for taxes of €10/ton and lower, within five to seven years of implementation. We estimate an annual CO₂ emissions reduction of around 10% with this tax. Under some circumstances, the DD can be achieved for a tax of €20/ton. In any case, recycling revenues to cut pre-existing taxes reduces costs of imposing carbon taxes.