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.     

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.     

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.     

深入社会改革,加快建设和谐无锡——无锡“十二五”社会改革途径探讨

经过三十多年的改革开放以后,无锡和全国一样,经济社会有了巨大的发展,但是,社会发展滞后于经济发展的情况仍然存在,急需深入社会改革,推动社会发展。本文在回顾无锡在"十一五"期间社会改革取得的成就基础上,分析了无锡社会发展存在的问题和面临的挑战和机遇,提出了"十二五"期间无锡深化社会改革的目标以及在政府职能转换、社会管理模式创新、实现公共服务均等化和城乡协调发展等四个方面的改革建议,最后提出了保障改革的一些措施。     

Agriculture–nutrition linkages with heterogeneous,unobserved returns and costs: Insights from Tajikistan

Agriculture–nutrition linkages (ANLs) have been increasingly investigated in the literature. However, nutritional returns and costs of household agricultural production practices (APPs) in semisubsistence settings are poorly understood. We fill these knowledge gaps using pooled cross-section data sets in Tajikistan, where semisubsistence farming and undernutrition coexist despite relatively good agricultural infrastructure and education systems. Agricultural diversification, yield enhancement, production expansion are positively associated with various nutritional outcomes, particularly in areas with poor food market access. Decomposition exercises suggest that nutritional returns and costs of these APPs vary across households, and the adoption of APPs is driven by the expected nutritional returns. In Tajikistan, improving nutrition through household ANLs requires growing the smallholder agricultural sector in multiple dimensions, including diversification, intensification, and expansion, while also understanding better the pathways of ANLs and addressing bottlenecks at appropriate stages of such pathways.     

Impacts of peer-to-peer accommodation on the hotel industry: Hoteliers’ perspectives

The sharing economy is a new phenomenon that has considerable implications for traditional industries in general and the hospitality sector in particular. Although some recent studies have investigated the effects of sharing economy on the hotel industry, they primarily focused on quantifying its effects which are not exploratory for a phenomenon. This study attempts to achieve two research objectives. First, an exploratory qualitative method via a semi-structured in-depth interview is employed to investigate the impacts of P2P accommodation on the industry from hoteliers’ perspectives in China. Second, the current study provides valuable insights about traditional hotel marketing and operations. A social science perspective is proposed because prior hospitality research, merely in its commercial sense, fails to capture the essence of hospitality. Results indicate that P2P accommodation has effects on the hotel industry in terms of host–guest interactions, product offerings, staff empowerment, and platform collaboration. The study also suggests that the extent to which P2P accommodation impacts the hotel industry is different in terms of hotel star ratings and operating model. P2P accommodation and the hotel industry in China have a supplementary relationship. This study contributes to social studies of the hospitality literature by gaining insights from hotel senior management level. It also has great implications for the hotel marketing and management practices within the sharing context.