The importance of farmer education in South Australia

There is a significant challenge involved with balancing food security at local and global levels whilst mitigating the environmental and social consequences of the historically productivist agri-food system. This work will address the importance of education in the South Australian agricultural sector as a tool to maximise beneficial outcomes. The results of a blended method research project, which involved farmers and governance stakeholders in South Australia, are presented as empirical evidence highlighting the positive roles that formal education, in particular university education, have in regard to increasing sustainability. It was found that higher levels of formal education contributed to farmers being more likely to prioritise the socio-environmental outcomes of their agricultural land use. There was also a dramatic reduction in farmer concerns with government support mechanisms as education levels went from secondary or less, through to vocational qualifications, and finally university degrees. Interviews with agricultural governance stakeholders emphasised the role of education in building the adaptive capacity of farmers, and the subsequent positive outcomes for the future development of the South Australian agricultural industry. These results suggest that further education provides farmers with the capacity to compete effectively in a liberalised economy.     

Mitigation of diffuse water pollution from agriculture in England and China,and the scope for policy transfer

This paper evaluates the existing policy frameworks for mitigation of diffuse water pollution from agriculture (DWPA) in England and China. With reference to a conceptual model of the process of policy transfer or international lesson drawing, and possible constraints to this, it assesses whether and how China can draw lessons to improve current policy from the supra-national and national provisions of the EU and a member state that by 2016 had comprehensively implemented EU agricultural and environmental policy. DWPA is first analysed as a public policy challenge to inform specification of a generic framework for its mitigation. The current policy frameworks for mitigation of DWPA in England and China are evaluated, and their potential for improvement is assessed. A number of barriers to lesson drawing for regulation, incentive payments schemes and advice provision are diagnosed. These barriers are potentially least in relation to advice provision and its use to promote voluntary action by farmers. Given its structure and capabilities the public agricultural extension system in China is also recognised as a key resource. A focus on three policy approaches to mitigate DWPA in China is recommended: i) targeted regulation to a ‘reference level’ of large intensive livestock, and ultimately other large commercial farms; ii) strategic use of incentive payment schemes to protect water resources from DWPA; and iii) re-orientation of the ethos and modalities of operation of the extension system, informed by international lesson drawing, with the aim of rebalancing farm productivity and environmental protection.     

Personalized multi-period tour recommendations

During a trip planning, tourists gather information from different sources, select and rank the places to visit according to their personal interests, and try to devise daily tours among them. This paper addresses the complex selection and touring problem and proposes a “filter-first, tour-second” framework for generating personalized tour recommendations for tourists based on information from social media and other online data sources. Collaborative filtering is applied to identify a subset of optional points of interest that maximize the potential satisfaction, while there are some preselected mandatory points that the tourists must visit. Next, the underlying orienteering problem is solved via an Iterated Tabu Search algorithm. The goal is to generate tours that contain all mandatory points and maximize the total score collected from the optional points visited daily, taking into account different day availabilities and opening hours, limitations on the tour lengths, budgets and other restrictions. Computational experiments on benchmark datasets indicate that the proposed touring algorithm is very competitive. Furthermore, the proposed framework has been evaluated on data collected from Foursquare. The results show the practical utility and the temporal efficacy of the recommended tours.     

Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice

Venice is one of the most popular tourist destinations in the world. In Venice, as in other middle-sized heritage European cities, strong tourism pressure is trapping the city in a vicious circle that is eroding the quality of its tourism attractions. This development is related to the growing numbers of excursionists who lack the time to make informed decisions about the quality of goods. Consequently, suppliers reduce the quality of their offerings and instead focus on market share. Consumer-generated media (CGM) may help resist this development by providing excursionists with aggregated, up-to-date information on the quality of tourism offerings as perceived by customers. In this paper, we investigate the efficiency of TripAdvisor in helping tourists to make informed decisions and in increasing the popularity of restaurants offering a higher expected quality. Our findings suggest that, although TripAdvisor's algorithm is designed to reward quality, it does not adequately meet these goals.     

Competitive effects of the airlines-within-airlines strategy – Pricing and route entry patterns

This paper investigates the effects of the airlines-within-airlines strategy adopted by Qantas airline group, which simultaneously runs a full-service airline (Qantas Airways) and a low-cost carrier (Jetstar Airways). Our empirical investigation of airline pricing and route entry patterns in the Australian domestic market suggests that Jetstar has been used as a fighting brand against rival low cost carriers. Such a strategy increases group airlines’ prices at the expenses of rival airlines. There is preliminary evidence that pricing benefits to Qantas Group come from increased market power as well as service quality improvements.     

Information and its impact on consumers׳ reactions to restrictive return policies

Designing an effective return policy is a difficult task for retailers. A very restrictive return policy can keep logistic costs down and prevent fraudulent returns but it can also have a negative effect on consumer behavior. Two experiments explore the role of assortment-related information in moderating consumers׳ negative reactions to more restrictive product return policies. The results demonstrate that consumers will view an assortment characterized by a more restrictive return policy as attractive to the extent that the assortment supports the information processing strategy triggered by the return policy.     

China’s megaregion policy: Performance evaluation framework,empirical findings and implications for spatial polycentric governance

Megaregion has emerged as a new dimension of global urbanization. A megaregion approach based on polycentric strategy is deemed to enhance regional economic competitiveness. Numerous studies have highlighted the economic benefits, celebrated the spill-over effects, and outlined the creative potentials of contemporary megaregion policies in different nations worldwide. However, further policy instruments require the knowledge about the achievement and failure of megaregion policies that seek for spatial, economic, social, and environmental efficiency and sustainability. This paper introduces China’s megaregion policy and proposes an analytical framework for performance evaluation from four principle domains (rational urban growth, economic development, social equity, environmental protection) at three levels (internal collaboration, integral development, and overall development). Using a case of the Megaregion around Hangzhou Bay (MAHB), we find very limited success of China’s megaregion policy. In particular, the megaregion policy only accomplishes the economic goal, and fails to achieve the goals of rational urban growth, environmental protection, and social equity. A series of mechanism based regressions are established and show that the implementation duration of megaregion policy: (1) associates positively with the economic growth; (2) relates negatively to social equity and urban rational growth; and (3) has no significant relationship with improved environmental quality. Institutional fragmentation, no unified spatial planning, and inadequate legislation at megaregional level are the underlying causes of the expected performances within the policy context of governance itself. We finally propose some possible solutions and discuss the implications for spatial polycentric governance. The demonstrated methodological framework can be applicable to other megaregions around the world. This paper is thus believed to provide some new insights for land use policy.     

The impact of the French Tobin tax

We analyze the impact of the introduction of the French Tobin tax on the turnover and measures of the liquidity and volatility of the affected stocks with nonparametric tests on individual stocks, difference-in-difference tests and other robustness checks controlling for simultaneous month-of-the-year and size effects. Our findings indicate that the tax produces a significant reduction in turnover and volatility (measured in terms of stock price volatility and the high–low price range) and inconclusive effects on liquidity when the latter is evaluated under the two dimensions of the estimated bid–ask spread and the Amihud (2002) price impact ratio.     

Solvability of perturbation solutions in DSGE models

We prove that the undetermined Taylor series coefficients of local approximations to the policy function of arbitrary order in a wide class of discrete time dynamic stochastic general equilibrium (DSGE) models are solvable by standard DSGE perturbation methods under regularity and saddle point stability assumptions on first order approximations. Extending the approach to nonstationary models, we provide necessary and sufficient conditions for solvability, as well as an example in the neoclassical growth model where solvability fails. Finally, we eliminate the assumption of solvability needed for the local existence theorem of perturbation solutions, complete the proof that the policy function is invariant to first order changes in risk, and attribute the loss of numerical accuracy in progressively higher order terms to the compounding of errors from the first order transition matrix.     

Constructive and computable Hahn–Banach theorems for the (second) fundamental theorem of welfare economics

The Hahn–Banach Theorem plays a crucial role in the second fundamental theorem of welfare economics. To date, all mathematical economics and advanced general equilibrium textbooks concentrate on using non-constructive or incomputable versions of this celebrated theorem. In this paper we argue for the introduction of constructive or computable Hahn–Banach theorems in mathematical economics and advanced general equilibrium theory. The suggested modification would make applied and policy-oriented economics intrinsically computational.