Investigating the Difficulties in Assessing Aesthetic Pollution through Experimental Economics

This present work deals with the research of some difficulties that we encounter in the evaluation processing of aesthetic pollution.Experimental economics techniques,such as answering a questionnaire(including quantitative indicators in the form of Willingness to Pay/Accept),have been incorporated into the FTS/A(Fault Tree Synthesis/Analysis)methodology.Such a methodological application is presented in the present document with reference to the archaeological site of Eleusis,where the visual&aesthetic pollution is apparent due to the heavy anthropogenic impact that takes place in the major area.It has been proved that EAP(Extended Aesthetic Pleasure),used as an indicator of“visual exterior”,can contribute to the conceptual determination of the optimal value in the intensification effort and the resources expended(Iopt)to achieve a particular aesthetic result.According to this analysis,Iopt decreases in the short run(due to lack of dissemination of information,mainly to the public)and increases in the long run,due to the accumulation/transfer/dissemination of knowledge.The methodology presented herein has been successfully applied in the case of the archaeological site of Eleusis,where the corresponding extensive aesthetic enjoyment of EAP is reduced by the ongoing intensified industrial activities.

Externalities as Compensatory Criteria of Compulsory Expropriation Actions

Ownership/private property and property inheritance are concepts well-established and constitutionally protected in our modern societies.Nevertheless,numerous provisions in the national legal framework enable the states to expropriate individual private goods under certain severe circumstances through compensation prerequisites.The present manuscript presents a short comparative study of the constitutional articles of many countries,regarding expropriation actions,examines the compensation techniques employed,and interrelates expropriation implementation with economic analysis methods and experimental economics.Furthermore,this paper states that the current Greek expropriate methods consist of an economic disturbance and externality in economic terms.

Canonical Workflow for Experimental Research

The overall expectation of introducing Canonical Workflow for Experimental Research and FAIR digital objects(FDOs)can be summarised as reducing the gap between workflow technology and research practices to make experimental work more efficient and improve FAIRness without adding administrative load on the researchers.In this document,we will describe,with the help of an example,how CWFR could work in detail and improve research procedures.We have chosen the example of"experiments with human subjects"which stretches from planning an experiment to storing the collected data in a repository.While we focus on experiments with human subjects,we are convinced that CWFR can be applied to many other data generation processes based on experiments.The main challenge is to identify repeating patterns in existing research practices that can be abstracted to create CWFR.In this document,we will include detailed examples from different disciplines to demonstrate that CWFR can be implemented without violating specific disciplinary or methodological requirements.We do not claim to be comprehensive in all aspects,since these examples are meant to prove the concept of CWFR.

Multi-agents modelling of EV purchase willingness based on questionnaires

Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses.The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments.An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants.Taking the customers’willingness to purchase electric vehicles(EVs)as an example,multi-layer correlation information is extracted from a limited number of questionnaires.Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires.The authenticity of both the model and the algorithmis validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results.With the aid of agent models,the effects of minority agents with specific preferences on the results are also discussed.