Data-based mechanistic modelling and forecasting globally averaged surface temperature

The main objective of this paper it to model the dynamic relationship between global averaged measures of Total Radiative Forcing (RTF) and surface temperature, measured by the Global Temperature Anomaly (GTA), and then use this model to forecast the GTA. The analysis utilizes the Data-Based Mechanistic (DBM) approach to the modelling and forecasting where, in this application, the unobserved component model includes a novel hybrid Box-Jenkins stochastic model in which the relationship between RTF and GTA is based on a continuous time transfer function (differential equation) model. This model then provides the basis for short term, inter-annual to decadal, forecasting of the GTA, using a transfer function form of the Kalman Filter, which produces a good prediction of the ‘pause’ or ‘levelling’ in the temperature rise over the period 2000 to 2011. This derives in part from the effects of a quasi-periodic component that is modelled and forecast by a Dynamic Harmonic Regression (DHR) relationship and is shown to be correlated with the Atlantic Multidecadal Oscillation (AMO) index.     

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

TERM is used to analyse the short‐term regional economic impact of an increase in industries' transport costs when paying E‐Tolls. Market‐clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed. 1 1 TERM is a bottom‐up CGE model designed for highly disaggregated regional data. The Enormous Regional Model's originate from Horridge et al. ( 2005 ) and are better explained in Horridge ( 2011 ).
We concluded that costs from levying E‐Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (?0.404%), gross domestic product (GDP) (?0.01) and consumer price inflation (?0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's.     

Learning in Design and Technology: The Impact of Social and Cultural Influences on Modelling

The paper introduces the highly problematic nature of modelling in design and technology education and examines the relationship between cognitive and concrete modelling. Its aim is to gain insight into what learners do, rather than what others say they ought to do in their learning activities. The variety of purposes that educators have for learners’ modelling are discussed through examining the contested curriculum justification for design and technology education itself. The paper proposes that learners’ modelling cannot be extracted from the social milieu in which they act and it provides some insights of these social influences through the analysis of two case studies. Their settings are a girls’ secondary school and a college of higher education. Each case study is presented independently but organised with a common format to consider a) the impact of assessment on learning intentions and outcomes; b) cultural influences on learning and modelling; c) social influences on learning and modelling. A discussion of the emergent themes considers implications for teachers. This revised version was published online in July 2006 with corrections to the Cover Date.     

An optimization approach for managing fresh food quality throughout the supply chain

One of the most challenging tasks in today's food industry is controlling the product quality throughout the food supply chain. In this paper, we integrate food quality in decision-making on production and distribution in a food supply chain. We provide a methodology to model food quality degradation in such a way that it can be integrated in a mixed-integer linear programming model used for production and distribution planning. The resulting model is applied in an illustrative case study, and can be used to design and operate food distribution systems, using both food quality and cost criteria.     

基于主体建模方法及其在宏观经济学中的应用

本文介绍了一种新型宏观经济学研究范式———基于主体建模方法。与主流的动态随机一般均衡模型相比,基于主体建模方法能更好地描述实际生活中经济主体的有限理性和适应性预期的行为,同时它还可以模拟复杂性系统中的异质性主体之间的交互作用,从而研究经济系统的演化过程及其宏观特征的“涌现”过程。此外,本文还介绍了基于主题建模方法在货币政策和经济波动理论中的应用：在政策分析中,基于主题建模方法能大量模拟市场参与者决策的“动物精神”和“羊群效应”,即使没有外部冲击,也可能形成金融危机等非均衡经济现象。随着计算机水平的发展,基于主题建模方法必将成为经济学分析的一个有力的新工具。     

Discussions on the spurious hyperbolic memory in the conditional variance and a new model

This paper studies the spurious hyperbolic memory in the conditional variance caused by the Markov Regime-Switching GARCH (MRS-GARCH) process. We firstly propose an illustrative cause of this spuriousness and provide simulation evidence. An MRS Hyperbolic GARCH (MRS-HGARCH) model is then developed to successfully address it. Related statistical properties including the stationarity conditions and asymptotic behaviours of the maximum likelihood estimators of the MRS-HGARCH process are also investigated. An empirical study of the S&P 500 and TOPIX indexes returns is then conducted which demonstrates that our MRS-HGARCH model can provide a more reliable estimator of the hyperbolic-memory parameter and outperform both the HGARCH and MRS-GARCH models.     

Tick size and market quality: Simulations based on agent‐based artificial stock markets

This paper investigates the way that minimum tick size affects market quality based on an agent‐based artificial stock market. Our results indicate that stepwise and combination systems can promote market quality in certain aspects, compared with a uniform system. A minimal combination system performed the best to improve market quality. This is the first study to analyse tick size systems that remain at the theory stage and compare four types of system under the same experimental environment. The results suggests that a minimal combination system could be considered a new direction for market policy reform to improve market quality.     

Impact of distance on the arrivals,behaviours and attitudes of international tourists in Hong Kong: A longitudinal approach

This study revisits the impact of distance on international tourist behaviours in Hong Kong. This work divides and cross-validates the concept of distance into physical and cultural distance. This work also proposes an alternative cultural distance measure by introducing optimal weight amongst Hofstede's dimensions and then compares the proposed measure with the traditional Kogut and Singh's and Kandogan's measures. By using data from the Visitor Profile Report of the Hong Kong Tourism Board and the World Trade Organisation from 2002 to 2017, along with latent growth curve modelling, multivariate regression and panel data analysis, findings confirmed the significant role of physical and cultural distance. In addition, quadratic relationships are detected using cross-validation methods. The effect of physical distance on tourist demands clearly dominates that of cultural distance in the overall market. The problem of spurious correlation and the results of three cultural distance measures are also discussed.     

A Multilevel investigation into the effect of cultural distance on bilateral trade: The roles of product type and uncertainty avoidance

Previous research shows mixed findings about how cultural distance may affect bilateral trade. To reconcile the mixed findings, we examine how key moderators at both the country-pair level (product type) and the country level (uncertainty avoidance) affect the magnitude of the effect of cultural distance on bilateral trade. Using trade data on electronic products from 90 nations during 2008–2 014, we show that cultural distance in general has a negative impact on bilateral trade. However, the effect is more pronounced when the trade is on experience (versus search) products, or if the importing country is low (versus high) in uncertainty avoidance. Apart from its moderating effect, experience (versus search) product also has a negative main effect on bilateral trade, but its impact is stronger for countries low (versus high) in uncertainty avoidance.     

Econometric modelling in the presence of evolutionary change

A methodology is offered which can be used to construct an econometricmodel in the presence of structural change of an evolutionarytype. The theoretical basis for such modelling is drawn fromthe self-organisation approach and operationalised in the contextof the logistic diffusion growth model. The latter is augmentedto allow for the impact of exogenous effects upon both the diffusionrate and boundary limit. We show how the hypothesis of augmentedlogistic diffusion can be falsified using econometric methods.An illustrative case study is used, namely the growth and declineof Australian Building Society Deposits. With the aid of thisexample, it is shown how the approach could be of use to botheconomic forecasters and regulators in conditions of structuralchange where conventional econometric methods are often inappropriate.