Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Making use of Internet interactivity to propose a dynamic presentation of web questionnaires

Quality & Quantity - New methodologies that aim to collect data in innovative ways (e.g. big data) are putting pressure on the traditional surveys based on questionnaires. In order to obtain...     

Performance of methods to conduct mediation analysis with time-to-event outcomes

Previous studies have discouraged the use of the Cox proportional hazards (PH) model for traditional mediation analysis as it might provide biased results. Accelerated failure time (AFT) models have been proposed as an alternative for Cox PH models. In addition, the use of the potential outcomes framework has been proposed for mediation models with time-to-event outcomes. The aim of this paper is to investigate the performance of traditional mediation analysis and potential outcomes mediation analysis based on both the Cox PH and the AFT model. This is done by means of a Monte Carlo simulation study and the illustration of the methods using an empirical data set. Both the product-of-coefficients method of the traditional mediation analysis and the potential outcomes framework yield unbiased estimates with respect to their own underlying indirect effect value for simple mediation models with a time-to-event outcome and estimated based on Cox PH or AFT.     

Labor Reform in Mexico,Analysis of Principal Changes and Method of Recruitment

Actually, the country＇s development aims to achieve higher levels of productivity, so it had to adapt to international standards. This has served to ease the hiring of both operational and managerial controls, giving emphasis on training and allowing the pairing boss-worker to take the productivity like benchmark. The labor reform allows companies to make changes with their workers; such changes must be reflected in lower costs for businesses, by labor input and increased competitiveness, however, two years ago this guideline was implanted and society asks if the results are congruent, because Mexican society is undergoing economics problems issue as well as a deficit in generating jobs. Therefore, analyzing whether modifications made to the federal labor law （FLL） are designed to optimize safety of workers and enterprises in which they work is the subject of this research. The corresponding analysis was performed using the deductive method.     

Propuesta de un modelo de medición de la competitividad mediante análisis factorial

This article presents a proposal of a model to measure competitiveness at the three geographical levels simultaneously: country, states, and municipalities by using a multivariate factor analysis resulting in the identification of five factors, seven subfactors and thirty variables used to measure and to present the results of an empirical study of several entities: the country, the state of Sonora and nine municipalities that represent 80% of the population and 80% of its Total Gross Production (PBT). The results show that the municipality of Hermosillo was the most competitive in 2010.     

Selecting Computing Devices to Support Mobile Collaboration

Collaboration supported by mobile devices has brought advantages for users and also challenges for software developers and mobile computing devices manufacturers. Every kind of device used to support mobile collaboration has strengths and weaknesses depending on the work context where it is used. The idea is to use a specific device when advantages are most relevant and disadvantages do not affect team work. This paper proposes an evaluation framework that helps developers to identify the type of device that can be used to support mobile collaboration in specific work contexts. In addition, three mobile collaborative applications are analyzed using the evaluation framework. The results of the analysis are then compared with the empirically observed suitability.