Points mechanisms and rewards programs

I study points programs, such as frequent flyer and other rewards programs, as a revenue management tool. I develop a two‐period contracting model where a capacity‐constrained firm faces consumers who privately learn their valuations over time. The firm cannot commit to long‐term contracts, but it can commit to allocate any unsold capacity through a points program. This points scheme creates an endogenous and type‐dependent outside option for consumers, which generates novel incentives in the firm's pricing problem. It induces the firm to screen less ex interim, and to offer lower equilibrium prices, reversing the intuition of demand cannibalization.     

试论国家加大工程质量整治行动

调动全社会各部门、各级领导高度重视工程质量的整治行动,抓住建筑市场混乱的源头和要害,还建筑业一个健康、规范、有序的建筑市场新秩序。     

Experts’ perceptions of the sloping land conversion program in the Loess Plateau,China

China’s Sloping Land Conversion Program (SLCP) is the world’s largest payment for ecosystem services program for improving ecological conditions and farmers’ livelihood. Communicating the SLCP outcomes across diverse stakeholder groups in ecological, socio-economic, political and institutional contexts can facilitate the effective implementation of the new round of the SLCP. Experts from various fields involved in the SLCP have developed good connections with governments, agencies, and farmers; therefore they can play an invaluable role in informing urgent policy changes. This study is based upon 24 interviews with the SLCP experts with the aims of assessing their perceptions of ecological, economic, political and social impacts of the SLCP on the Loess Plateau of China, and then gathering their policy recommendations to ensure that the new round of the SLCP would be implemented efficiently. Content analysis based on the grounded theory is used in present study. Judging from expert-based consensual statements from this study’s interviews, the main concerns about the first round of the SLCP on the Loess Plateau are that the dramatic increase in the farmer’s income and livelihood is mainly from off-farm sources rather than the SLCP subsidy, that equitable government compensation is dependent on the outcome of the SLCP, that the aggressive SLCP causes soil drought which have negative effects on ecological restoration, and that the stakeholders’ interaction could be improved. Based on the analyses of the experts’ interviews, the recommendations are summarised as follows: strengthening the farmers’ environmental awareness and vocational skills, establishing multi-source financial supports and flexible compensation mechanisms, establishing participatory planning that requires stakeholder involvement especially farmers and insisting that scientific studies on the ecological restoration of the Loess Plateau must be shared with local governments and farmers.     

A review of eye-tracking research in tourism

This study provides a review of eye-tracking as a technique for measurement of attention. The review discusses its theoretical basis, advantages and disadvantages, data collection procedures, analysis methods, and application in tourism and hospitality. Areas for further research in tourism and hospitality are provided based on a systematic review of tourism research using eye-tracking.     

对建筑企业转换经营机制的思考

建筑企业必须深化产权制度改革,建立和完善包括决策机制、发展机制、激励机制和约束机制在内的经营机制。对建筑企业在经营机制转换过程中需要良好的内外部环境进行了分析。     

由“问责风暴”谈公务员行政法律责任的完善

一段时间以来。国内安全事故频频见诸报端,有不少官员被依法追究行政法律责任,其影响之大被媒体形容为中国掀起“问责风暴”。这种现象应当引起我们对公务员行政法律责任完善的思考,问责应当形成常态机制,而不能是运动式的追责效果．在这方面可以借鉴香港地区的“廉政公署”制度,健全公务员行政问责机制。     

大股东掠夺行为与国有上市公司治理

与伯利和米恩斯所强调的上市公司面临所有权与经营权分离不同,现代企业的股权相当集中,普遍存在着掌握公司控制权的大股东,由此产生了大股东对中小股东的掠夺行为。这一问题在国有上市公司中普遍存在且相当严重。由于它不同于传统的委托-代理问题,既有的公司治理机制无法有效解决这一问题,因此有必要对其进行完善和补充。     

自然资源、社会地位与经济增长——一个资源约束框架下的增长模型

经济的持续稳定增长不仅关系到未来中国经济的发展,而且与一系列社会问题紧密相联。通过构建资源约束框架下的增长模型,可以分析自然资源和社会地位对经济系统均衡条件、动态转移的影响。理论分析表明,消费资本比足够大或消费足够多、且资本与消费的边际替代率足够小,是经济系统存在鞍点均衡的必要条件;当资源消耗足够多时,消费资本比会显著下降。     

A mechanisms-based explanation of nutrition policy (dis)integration processes in Uganda

Many African governments have recently invested in strengthened nutrition policy integration to address malnutrition; as a step towards realising the targets of the Sustainable Development Goal 2. Previous studies have identified various factors that enable or constrain how nutrition integration occurs across policy sectors. However, the explanatory value of these studies has remained relatively limited, as the causal processes through which independent variables affect policy outcomes remain unelucidated. This paper addresses this gap by applying a causal mechanisms approach to investigate the processes that explain observed patterns of nutrition policy (dis)integration in different ministries in Uganda. We employed a process-tracing research design to reconstruct the context-mechanism configurations that explain the observed patterns of nutrition integration in Uganda between 2000 and 2017. Data was collected from interviews with 34 respondents, various policy and programming documents, and a focus group discussion. Our analysis reveals that increased nutrition policy integration is explained by four causal mechanisms: (1) international policy promotion; (2) issue promotion by international actors; (3) issue promotion by domestic policy entrepreneurs; and (4) instrumental policy learning. Conversely, two mechanisms led to policy disintegration: (1) leadership contestation; and (2) turf wars. All mechanisms proved activated by configurations of contextual conditions that were time- and organisation-specific. This study showed how a mechanisms approach can provide a more refined understanding of policy successes and failures in nutrition governance. Whereas integration-fostering mechanisms cannot be automated, both government and international actors working to scale up investments in nutrition need to consider and invest in the contextual conditions that allow for sustained nutrition policy integration and, ultimately, a more effective delivery of nutrition services. These include developing leadership for nutrition at different governance levels, domestic ownership and integration-fostering capacity, and supporting policy-oriented learning.     

基于离散选择模型的推荐系统改进算法

准确地预估用户的点击率,并根据该概率对商品排序以供用户选择在推荐系统领域有着重要的意义。推荐系统中常用的因子分解机等机器学习模型一般只考虑用户选择单个商品的概率,忽略了候选商品之间的相互影响,离散选择模型则考虑将商品候选集作为整体进行考虑。提出了使用深度学习模型来改进离散选择模型,模型使用相对特征层、注意力机制等网络结构帮助深度学习模型进行不同商品间的特征比较,研究结果表明引入离散选择模型的深度学习模型表现优于梯度提升决策树、因子分解机等模型。