向右下倾斜的非农劳动供给曲线——来自中国健康和营养调查的证据

本文运用经济学理论构建了中国农村转移劳动力的劳动供给行为分析框架,并利用中国健康和营养调查数据对其劳动供给曲线进行了实证分析。研究表明,无论是全体样本,还是性别分类样本,中国农村转移劳动力的非农劳动时间都与工资成反方向变化,非农劳动供给曲线呈现向右下倾斜。本文由此推出了实施最低工资标准这一重要的政策含义。     

公共财政框架下的农村养老保险制度建设研究

农村养老保险规定和完善着公共财政的职能范围;公共财政是农村养老保险的制度依托和物质基础,财政主体的权力结构、制度的包容性、法制化决定着养老保险制度的可持续性发展。我国要实现公共财政与农村养老保险之间的制度性耦合,需要根据农村养老保险的产品属性清晰界定公共财政的职责权限,规范公共财政各主体之间的权力资源配置,吸纳多元主体,共同参与农村养老保险事业的建设。     

食品安全监管长效机制建构研究

近年来食品安全问题时有发生,食品安全已经成为关系国计民生的一个极为突出的社会问题。因此,加强食品安全监管的研究,建立和完善我国食品安全监督管理体系,实施有效的食品安全应对措施,具有极其重要的意义。本文分析了我国食品安全监管存在的问题,并在借鉴国际经验的基础上,提出几点政策建议：健全食品安全检验检测体系;加强食品安全教育体系建设;充分发挥消费者组织、行业协会的监督作用等。     

循环经济的制度安排与制度创新

发展循环经济面临许多非技术性难题,需要通过制度创新加以破解.循环经济是一种全新的制度安排.科学合理的制度安排对循环经济作用和意义体现在以下几方面:协调循环经济运行中不同利益群体之间的关系,规范循环经济主体的经济行为,激励和引导人们作出符合循环经济要求的行为,降低循环经济技术创新所发生的交易费用,塑造民众的生态文明意识、构建人与自然和谐相处的秩序.循环经济的制度安排包括法律制度、政策和市场运行机制.循环经济制度安排要坚持"以人为本",循环经济制度创新要重视非正式制度的影响,循环经济制度构建要着力协调政府与市场的关系.     

我国上市公司财务危机预警系统研究

通过将Logistic回归分析法和因子分析法进行有效地组合,对我国上市公司的财务危机状况进行了研究。利用SPSS软件并以24个财务比率指标和5个因子变量为基础,建立了上市公司危机预警模型,并检验了其预测的准确率,结果表明判断准确率达到89.5%。同时对财务危机预警模型的两类错误成本进行了分析。     

中国创业板上市公司盈利能力的因素分析——基于分位数回归的实证研究

影响上市公司盈利能力的因素有很多,不同的分位数水平下各因素对盈利能力的影响可能存在差异。传统的回归模型只能描述因变量的条件均值受自变量的影响,而分位数回归模型能够依据因变量的条件分位数对自变量进行回归,从而更加精确地描述自变量对因变量的影响。选取截至2013年6月30日的355家创业板上市公司的截面数据,从分位数回归的角度研究了不同分位数水平下各因素对公司盈利能力的影响,并且加入了地区虚拟变量,研究了区位因素与盈利能力的关系。     

建立和完善我国竞争政策体系的探讨

随着国际贸易自由化和国际投资自由化进展进一步加快,世界贸易组织管理协调的重点也逐渐由贸易政策转为国内立法和竞争政策.在经济全球化日益深化的今天,传统的贸易保护手段的有效性越来越低,战略性贸易政策发生作用的外部条件已经基本不存在.开放市场、减少壁垒、进行公平有效的竞争,在竞争中求生存、求发展,可能是一种现实的选择.因此,一些国家的经济学家越来越将外贸政策研究的重点从战略性贸易政策转向竞争政策.在我国加入世界贸易组织以后,建立和健全我国的竞争体系,显得尤为重要.本文讨论了国际竞争政策的内涵和新特点,分析了我国竞争政策的现状,探讨了建立健全我国竞争政策的重点和思路,并提出了在全球范围内协调竞争政策的途径.     

毫米波多模单脉冲喇叭馈源的分析与设计

对多模单脉冲喇叭馈源的理论和设计方法进行了研究。针对高次模的模比计算和控制难点,提供了一种准确的分析理论,给出了高次模的产生规律和模比的计算方法。在此基础上分析设计了一个毫米波多模单脉冲喇叭馈源并加工了实物,其实测结果表明,该馈源具有带宽宽（>5%）、驻波比小（<1.2）、和差矛盾小（<1.5 dB）、方位和俯仰面方向图对称性好的特点,与理论分析结果、仿真设计结果非常吻合,达到了预期的设计效果。     

Households transport-home energy conservation strategies in response to energy price policies: A stated adaptation experiment based on portfolio choices and cross effects designs

This article explores consumer investment choice in long-term energy conservation technology and assesses trade-offs in energy saving behaviour between the housing and transportation domains. The long-term energy conservation choice problem is conceptualized as a portfolio choice problem. Consequently, to measure trade-offs between investments in housing and transport options, a cross effects choice design is developed in which respondents were shown one or more alternate ways to reduce their current energy consumption: (1) investing in new technology in the house, such as solar panels; (2) exchanging the current car for a more energy efficient car; (3) buying a new energy-efficient car, such as EV or solar car; (4) moving house to reduce current travel distances. To help respondents linking these options to their current energy consumption, a new Web-based survey system (SINA) to implement and administer stated adaptation experiments was developed. The system was used to collect two sets of data. First, data about out-of-home and in-home energy consumption, together with detailed time use data, was collected. Second, using a cross effects design, respondents were asked to select a portfolio of energy-saving strategies in response to different energy pricing policy scenarios. Results reported in this paper are based on 572 respondents who completed the survey and responded to seven adaptation questions based on their current energy expenditures. A random parameters logit model is estimated to predict the probability of choosing a particular portfolio of energy-saving options. Estimation results indicate that individuals from different socio-demographic groups exhibit varied preferences. The saving option characteristics, especially cost related characteristics have significant effects on individuals' preferences. Moreover, the results also showed significant effects of choice set composition on energy saving options. Further, the energy pricing policies had showed mixed effects on individual's preferences.     

Assessing recreation carrying capacity of the environment attributes based on visitors’ willingness to pay

Recreation carrying capacity (RCC) is one of the most important indictors used in measuring the usage limits for the forest park resources. However, the consensus has not been reached with respect to the RCC’s content and its measuring metrics. In this paper, we attempt to establish a new RCC theoretical framework based on the demand theory of the tourism product characteristics. In the process, the choice experiment and orthogonal design methods are used in questionnaire designs and the conditional Logit model is used for parameter estimates. More than 700 park visitors are surveyed for data collection at the Shenyang National Forest park of Liaoning province in China. The primary park attributes being considered encompass vegetation, coverage, water quality, number of rubbish on the park trail path, admission fees, and congestion. The carrying capacity threshold for each specific attribute is identified.