An economic evaluation of market development programmes for US dairy products

‘This study measured the effectiveness of US dairy export promotion programmes on increasing foreign demand and enhancing producers’ revenues. An import demand equation based on panel data was used to test whether export promotion has a positive and significant impact on US dairy exports. The effects of various promotion scenarios on the dairy market were then simulated, and benefit–cost ratios (BCRs) for these programmes were estimated. There were three key findings. First, the combined effort of public and private dairy export promotion expenditures had a positive and statistically significant impact on demand for US dairy products in the world market. The findings indicated that export promotion stimulated total dairy exports by 4.14 billion pounds, on average, per year, which represented 55.8% of total exports. Second, US dairy export promotion has been highly profitable for the nation’s dairy farmers. The calculated BCRs, based on assumed elasticity of supply, ranged from a low of 8.54 for the most elastic assumption to a high of 30.12. Third, from an optimality standpoint, dairy farmers are underinvesting in export promotion. The marginal BCRs ranged from a low of 3.79 to a high of 15.22, which means that, at the margin, increasing export promotion expenditures would be profitable for dairy farmers.     

How entrenched managers beat earnings expectations before and after SOX

This study investigates the relationship between managerial entrenchment and how firms meet or beat earnings forecasts. It further examines whether this relationship changes before and after the Sarbanes–Oxley Act (SOX). We find that, in the pre-SOX era, entrenched managers meet or exceed analyst forecasts more often than their unentrenched counterparts when analysts’ initial forecasts are high. This is mainly due to the drop in analysts’ consensus rather than earnings management. These results nearly disappear in the post-SOX era.     

Premium auctions and risk preferences: An experimental study

In premium auctions, the highest losing bidder receives a reward from the seller. This paper studies the private value English premium auction (EPA) for different risk attitudes of bidders. We explicitly derive the symmetric equilibrium for bidders with CARA utilities and conduct an experimental study to test the theoretical predictions. In our experiment, subjects are sorted into risk-averse and risk-loving groups. We find that revenues in the EPA are significantly higher when bidders are risk loving rather than risk averse. These results are partly consistent with theory and confirm the general view that bidders' risk preferences constitute an important factor that affects bidding behavior and consequently also the seller's expected revenue. However, individual subjects rarely follow the equilibrium strategy and revenue in our experiment is lower than in the symmetric equilibrium.     

Driver behaviour and business outcomes: An alternative approach to the psychology of the owner–manager

Previous psychological approaches to the study of owner–managers are reviewed and an alternative model based on the transactional analysis concept of Drivers is put forward. This model is tested out via a series of interviews and observations of 20 owner–managers of small and medium–sized businesses based in the North East of England. The relationship between driver behaviour and business performance is explored and the negative consequences of driver behaviour for the business are identified. Driver behaviour is also viewed as potentially beneficial and the inherent positive aspects of driver behaviour are proposed as the opposite end of a continuum of behaviours which are at the heart of business success. On a methodological level the need for an approach grounded in the owner–managers behaviour is confirmed.     

Does retail type matter? Consumer responses to channel integration in omni-channel retailing

A critical issue faced by marketing practitioners today is orchestrating strategies that provide a smooth consumer experience in an omni-channel environment. The extant literature offers limited guidance on managing the consumer journey in an omni-channel environment across different retail types. Using the S–O-R framework as its basis, this study generates novel insights by examining how different types of retailers influence consumer perceptions of channel integration (CPCI) as well as consumer empowerment, trust, satisfaction, and patronage intention. Data from 736 consumers was collected using purposive sampling to target those who interact with retailers from high-end specialty stores, department stores, and hypermarkets. The data was then analysed using partial least squares structural equation modelling (PLS-SEM). We find that consumers from high-end specialty stores, hypermarkets, and department stores have different perceptions when patronising the omni-channel retail business. The implications of the study are discussed and suggestions for future research are presented.     

县乡财政困境与财政立宪主义

中国县乡财政困难背后蕴含着深刻的政府与社会、政府之间的关系的矛盾。以往在技术层面上修修补补式的改革不能从根本上解决问题。因此,本文主张采取财政立宪的制度创新思路。包括两个方面的内容,一方面是通过完善法治和建立有效的民主决策监督机制,实现纳税人对政府的根本约束和监督;另一方面是规范政府间的财政分配关系,抑制政府间的过分自利倾向,实现政府间的合理分权与制衡。     

商业年金消费决策的行为经济学分析

商业年金是我国养老保险体系的重要组成部分,虽然近年来我国在政策层面不断推动商业年金的发展,但是我国居民的商业年金需求仍然十分低,存在“年金谜题”现象。本文从行为经济学的视角展开对商业年金消费决策的分析,首先从理论层面阐述了行为因素对商业年金消费决策的影响机制,随后设计调查问卷收集个体数据,从实证层面进行了验证。结果发现,主观概率、心理账户、信息感知、金融素养等行为因素会显著影响个人的商业年金消费水平,其他客观因素如性别、年龄、婚姻状况、风险态度以及收入水平等也会显著影响个人的商业年金消费水平。基于本文研究结果,认为未来商业年金回归保障属性、弱化个人账户概念以及发展保险咨询服务等可以带来商业年金需求的提升。     

The trend of the Gini coefficient of China (1978–2010)

ABSTRACT

This study proposes a new approach to analyse the effects of an overlap term on the calculation of the overall Gini coefficient and estimates China’s Gini ratios since the adoption of the economic reform and open-door policies. A decomposition of the Chinese Gini coefficient for 1978–2010 reveals that the key factor contributing to income inequalities is the income disparity between rural and urban inhabitants. We further investigate the features of this income inequality between rural and urban areas and employ statistical approaches to evaluate the effects of urbanisation and rural-to-urban average income on nationwide income inequality. The results show that accelerating the pace of urbanisation is mainly responsible for decreasing China’s income disparity. Drawing on these results, we conclude with suggestions for related policies.     

Saving–investment Correlations in Response to Monetary Policy Shocks: New Insights into the Feldstein–Horioka Puzzle?

In this paper, it is argued that the observed high positive correlation between national savings and investment which is found in the data can in part be explained by shocks to monetary policy. This hypothesis, which is established by reviewing some empirical findings, is tested in a two-country DSGE-model framework in the tradition of the New Open Economy Macroeconomics. The simulation results obtained support the idea that shocks to monetary policy might contribute to the explanation of the Feldstein-Horioka puzzle.

Machine learning for pricing American options in high-dimensional Markovian and non-Markovian models

In this paper we propose two efficient techniques which allow one to compute the price of American basket options. In particular, we consider a basket of assets that follow a multi-dimensional Black–Scholes dynamics. The proposed techniques, called GPR Tree (GRP-Tree) and GPR Exact Integration (GPR-EI), are both based on Machine Learning, exploited together with binomial trees or with a closed form formula for integration. Moreover, these two methods solve the backward dynamic programing problem considering a Bermudan approximation of the American option. On the exercise dates, the value of the option is first computed as the maximum between the exercise value and the continuation value and then approximated by means of Gaussian Process Regression. The two methods mainly differ in the approach used to compute the continuation value: a single step of the binomial tree or integration according to the probability density of the process. Numerical results show that these two methods are accurate and reliable in handling American options on very large baskets of assets. Moreover we also consider the rough Bergomi model, which provides stochastic volatility with memory. Despite that this model is only bidimensional, the whole history of the process impacts on the price, and how to handle all this information is not obvious at all. To this aim, we present how to adapt the GPR-Tree and GPR-EI methods and we focus on pricing American options in this non-Markovian framework.