A new non-linear AR(1) time series model having approximate beta marginals

We consider the mixed AR(1) time series model $$X_t=\left\{\begin{array}{ll}\alpha X_{t-1}+ \xi_t \quad {\rm w.p.} \qquad \frac{\alpha^p}{\alpha^p-\beta ^p},\\ \beta X_{t-1} + \xi_{t} \quad {\rm w.p.} \quad -\frac{\beta^p}{\alpha^p-\beta ^p} \end{array}\right.$$ for ?1 < β ^p ≤ 0 ≤ α ^p  < 1 and α ^p ? β ^p  > 0 when X _t has the two-parameter beta distribution B₂(p, q) with parameters q > 1 and ${p \in \mathcal P(u,v)}$ , where $$\mathcal P(u,v) = \left\{u/v : u < v,\,u,v\,{\rm odd\,positive\,integers} \right\}.$$ Special attention is given to the case p = 1. Using Laplace transform and suitable approximation procedures, we prove that the distribution of innovation sequence for p = 1 can be approximated by the uniform discrete distribution and that for ${p \in \mathcal P(u,v)}$ can be approximated by a continuous distribution. We also consider estimation issues of the model.     

Going beyond the traditional destination competitiveness – reflections on a smart destination in the current research

ABSTRACT

This paper reviews the literature on tourism destination competitiveness from different aspects, focusing on comparative and competitive advantages. Also, the paper highlights the importance of information and communication technologies (ICTs) in tourism destinations and their increasing impact on the achievement of destination competitiveness. Thanks to the wider application of ICTs in tourism, tourists nowadays are well informed and have access to global market which creates a new dynamic environment by creating a smart demand. Since smartness emphasizes on ICT-based tools, including smartness integration for value co-creation, it can increase and enhance destination competitiveness. In this regard, special emphasis is placed on exploring the core components of smartness and smart tourism destination.     

生物技术产业集群的动力机制及其演进——基于国外典型集群的多案例研究

在产业集群理论的总体框架下,本文以国外五个典型集群为研究对象,归纳了生物技术产业集群演化的关键动力要素,即科学研究、风险投资、传统大企业介入、政府支持、中介机构、市场需求、创新文化、相关产业支撑、龙头企业以及"龙头企业-专家型公司-科研机构"之间的良性互动。在此基础上,研究了要素的演进和集群发展的内在规律。最后,结合我国的实际情况,基于政府的视角得出若干促进我国生物园区发展的启示。     

Tax System Sustainability Evaluation: A Model for EU Countries

Intereconomics - We follow the multi-dimensional approach to socio-economic sustainability and distinguish among the needs of society in the four dimensions that make up the basic pillars in our...     

The Decarbonisation Challenge of Southeast Europe: A Case Study of Romania

Intereconomics - Not only is Romania facing some crucial energy system problems, but the proposed solutions have often been improvised and incoherent. This also raises doubts about the...     

Optimal choice of order statistics under confidence region estimation in case of large samples

The problem of optimal estimation of location and scale parameters of distributions, by means of two-dimensional confidence regions based on L-statistics, is considered. The case, when the sample size tends to infinity, is analyzed.     

Specifics of Real Estate Taxation in the Czech and Slovak Republics

International Advances in Economic Research - This article is focused on the real estate tax in the Czech and Slovak Republics. Different approaches to the tax are applied (determination of...     

A path model of factors affecting secondary school students’ technological literacy

Technological literacy defines a competitive vision for technology education. Working together with competitive supremacy, technological literacy shapes the actions of technology educators. Rationalised by the dictates of industry, technological literacy was constructed as a product of the marketplace. There are many models that visualise different dimensions of technological literacy, but clear empirical evidence on how these interact is still lacking. A measurement method that comprehensively evaluates technological literacy is missing. Insights into the stem structure and interaction of technological literacy dimensions could be useful for technology education curriculum design and its implementation. In this study, the multifaceted nature of technological literacy was measured using a new assessment method, and dimensions of secondary school students’ technological literacy were empirically investigated. A total of 403 students participated in the quasi-experimental research design. The treatment group consisted of 121 students taught optional subjects relating to technology education. The control group consisted of 282 students. Results from variance analysis showed that optional technology subjects enhance technological literacy, especially students’ technological capacity where a large effect size (η ²  = 0.14) was noted. Results from a path analysis revealed critical thinking and decision-making as the most important dimensions of technological literacy while the predictor of active participation in out-of-school technical activities and technology homework was a key independent influencing factor. A large effect size (R ²  = 0.4) for career path orientation predictors was detected. Technological capacity was revealed as a decisive predictor for a career path in vocational education and technical high school.     

Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

Abstract

This research proposes an assessment and decision support model to use when a driver should be examined about their propensity for traffic accidents, based on an estimation of the driver’s psychological traits. The proposed model was tested on a sample of 305 drivers. Each participant completed four psychological tests: the Barratt Impulsiveness Scale (BIS-11), the Aggressive Driving Behaviour Questionnaire (ADBQ), the Manchester Driver Attitude Questionnaire (DAQ) and the Questionnaire for Self-assessment of Driving Ability. In addition, participants completed an extensive demographic and driving survey. Various fuzzy inference systems were tested and each was defined using the well-known Wang-Mendel method for rule-base definition based on empirical data. For this purpose, a programming code was designed and utilized. Based on the obtained results, it was determined which combination of the considered psychological tests provides the best prediction of a driver’s propensity for traffic accidents. The best of the considered fuzzy inference systems might be used as a decision support tool in various situations, such as in recruitment procedures for professional drivers. The validity of the proposed fuzzy approach was confirmed as its implementation provided better results than from statistics, in this case multiple regression analysis.     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.