外汇储备对我国物价水平的影响——基于协整检验与误差修正模型的分析

协整和格兰杰因果检验结果表明,我国外汇储备与物价水平存在协整关系,且外汇储备是物价水平的格兰杰原因,表明外汇储备增加将对通货膨胀形成压力。但从误差修正模型的检验结果看,我国外汇储备对物价水平的影响在短期内较为有限,其主要原因是我国央行短期内进行大量的外汇冲销操作。因此,我国需要采取有效的措施来缓解通胀压力,如加大央行公开市场业务操作、改革外汇管理体制、适当放宽汇率浮动幅度以及合理使用我国现有外汇储备等。     

人民币汇率预测及方法选择——基于ARIMA与GARCH模型

自2005年7月人民币汇率改革以来,人民币持续升值,已影响到经济生活的各个方面,正确分析与预测汇价及其波动对各经济主体金融政策与投融资决策的制定有着十分重要的意义。本文选取国内外学者较为认同的ARIMA和GARCH模型对人民币美元汇率建模,并对其预测误差进行分析,结果表明在对人民币兑美元中间价的预测中,GARCH模型预测相对ARIMA模型更优。     

不同控股比例下的国际转移定价模型

转移价格在跨国企业的国际经营活动中起着重要的作用。本文从企业税负驱动机制的微观层面上,扩展国际转移定价的理论模型,深入分析在不同控股比例和红利分配率情况下转移价格的理性选择;并且运用模拟方法,揭示不同变量条件下的最优转移价格策略。     

基于多维评价模型的农业多功能性价值评估

农业多功能性理念有助于重新全面认识农业诸多功能并为其评价提供分析框架.文章在考虑农业各项功能间相互独立但冲突关系的基础上构建多维评价模型.结合数据可获得性、评价方法与指标选取原则,应用三维评价模型对我国农业的食物生产、经济和生态功能进行定量评价.应用因子分析法对三大功能的主要影响因子进行提取;根据三大功能的价值间不同组合类型,用分层聚类法将我国农业分为九类情景模式.研究结果显示,多维评价模型能够在充分利用现有统计数据的基础上,对农业的生产、经济和生态功能进行较准确的价值评估,模型模拟结果及情景聚类基本符合我国农业发展现状.该多维评价模型具有很大的灵活性,可用于其他领域中不同尺度的多目标价值评估.     

农地城市流转规模决策模型

在综述前人研究的基础上,对农地城市流转规模的问题进行了理论探讨.在此基础上构建政府多目标条件下农地城市流转规模决策模型,并对其最优规模进行求解.最后就农地作为异质性商品时,利用特征价格模型对决策进行了探讨,研究认为:①农地城市流转决策是一种多目标决策,其效用指标的选取要注重经济因素、社会因素与生态因素的结合;②农地是一种典型的异质性商品,消费者消费农地的效用的高低往往取决于农地包含的特征种类和数量的多少.因此,决策者需要考虑其异质性;③对交错区的农地采取一味地保护,或者采取任由其不断发展的政策都是不利于经济的发展的,政府进行农地城市流转规模决策时,必须采取积极的措施协调城市化发展与区域性粮食安全之间的关系.     

中国寿险市场退保影响因素的实证分析

文章分析了影响寿险保单退保的主要因素,并利用中国寿险市场1983-2007年的退保数据,选择失业率、利率、物价指数三个变量建立了向量误差修正模型(VECM)对影响退保的"财务危机"、"利率替代"和"支付贬值"三个假说进行了实证检验,结果表明三个变量都影响退保率的变化,"支付贬值"因素的短期和长期影响最明显,"利率替代"因素的短期和长期效应也比较显著,而"财务危机"的长期效应不显著,文章最后根据分析结果提出了相应的应对措施.     

高新技术产品的反倾销规避—基于技术战略完善的反倾销规避机制

反倾销这个特殊的法律因素很大程度地"内生"于企业的内部战略,反倾销因这一内生性特点在企业层面具备了可被管理性;而且,反倾销还可能对高新技术竞争具有战略价值。因此,针对技术性产品,依托于原有的The 3rd Generation R&D思想,为企业建立一个"基于技术战略完善的反倾销规避机制"作为AD Little模型的新一"维",这既可丰富目前的技术战略模型,又能在当前的贸易环境和技术竞争形势下,使其为我国那些利用技术创新开拓国际市场的企业进行技术提升和反倾销规避更好地服务。     

关于中国商业银行营销战略体系的构建

为了在复杂多变的市场环境中求得长期生存和持续发展,中国商业银行必须以客户为导向,制定和实施适应市场需求的营销战略。中国商业银行构建的营销战略体系应包含：塑造多功能全方位的营销服务体系,打造类别系列化的营销产品体系,建立多层次立体化的营销渠道体系,建设高素质营销队伍体系,创建高品质的品牌营销体系。     

Societal preferences for fertility treatment in Australia: a stated preference discrete choice experiment

Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an “ideal” fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.

Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.

Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; “alternative” treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients’ relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.

Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an “ideal” package of treatment. The results can inform economic evaluations of fertility treatment programs.     

A Framework for the Simultaneous Measurement of Spatial Variation and Temporal Movement in Prices in a Heterogeneous Country: The Dynamic Household Regional Product Dummy Model

This paper contributes to the growing literature on spatial prices in large heterogeneous countries. While the literatures on spatial variation and temporal movement in prices have grown in parallel, this study marks a departure by providing a unified treatment and proposing a comprehensive framework that allows both approaches. The proposed model is based on twin extensions of the household version of the “country product dummy model” by allowing for a dynamic stochastic specification and interdependence of spatial prices of geographically adjacent regions. Tests of temporal stability and regional independence of the estimated spatial prices are proposed and applied in this paper. The paper shows that the introduction of an autoregressive error process of order one, AR(1), improves the efficiency of the estimates of parameters, urban‐rural and temporal price indices under certain conditions. The Indian application points to a rich potential for using the proposed framework in cross country comparisons such as the International Comparison Program (ICP) exercises.