Modeling height-diameter relationship in pinus pinaster ait. in the forest intervention zone of Lomba, NE-Portugal

In this work, the relationship between diameter at breast height (d) and total height (h) of individual-tree was modeled with the aim to establish provisory height-diameter (h-d) equations for maritime pine (Pinus pinaster Ait.) stands in the Lomba ZIF, Northeast Portugal. Using data collected locally, several local and generalized h-d equations from the literature were tested and adaptations were also considered. Model fitting was conducted by using usual nonlinear least squares (nls) methods. The best local and generalized models selected, were also tested as mixed models applying a first-order conditional expectation (FOCE) approximation procedure and maximum likelihood methods to estimate fixed and random effects. For the calibration of the mixed models and in order to be consistent with the fitting procedure, the FOCE method was also used to test different sampling designs. The results showed that the local h-d equations with two parameters performed better than the analogous models with three parameters. However a unique set of parameter values for the local model can not be used to all maritime pine stands in Lomba ZIF and thus, a generalized model including covariates from the stand, in addition to d, was necessary to obtain an adequate predictive performance. No evident superiority of the generalized mixed model in comparison to the generalized model with nonlinear least squares parameters estimates was observed. On the other hand, in the case of the local model, the predictive performance greatly improved when random effects were included. The results showed that the mixed model based in the local h-d equation selected is a viable alternative for estimating h if variables from the stand are not available. Moreover, it was observed that it is possible to obtain an adequate calibrated response using only 2 to 5 additional h-d measurements in quantile (or random) trees from the distribution of d in the plot (stand). Balancing sampling effort, accuracy and straightforwardness in practical applications, the generalized model from nls fit is recommended. Examples of applications of the selected generalized equation to the forest management are presented, namely how to use it to complete missing information from forest inventory and also showing how such an equation can be incorporated in a stand-level decision support system that aims to optimize the forest management for the maximization of wood volume production in Lomba ZIF maritime pine stands.

The adoption of IPSASs in the Iberian Peninsula: the perspective of the standar-setters

The last decades have been fruitful in reforms in public sector accounting across the world, namely moving from cash-based into accrual-based regimes. In this process of bringing public sector accounting close to business accounting, International Public Sector Accounting Standards (IPSASs) have been developed and adopted in several countries. In the EU context, public sector harmonization among member-States is currently being considered, namely via the development of European Public Sector Accounting Standards (EPSASs). Both IPSASs and EPSASs are understood as, among other things, important to contribute for a more informative and transparent financial reporting of public sector entities and governments. Moreover they are expected to approximate public sector accounting and the National Accounts, hence allowing for more reliable information to monitor fiscal discipline among EU countries. The Iberian countries, after using accrual accounting in the public sector for more than twenty years (Spain from middle 1980s and Portugal from 1990s), have acknowledged the need to embark in an international harmonization process adopting IPSASs, particularly after the adoption of IFRSs in the business sector, which was creating some difficulties for consolidated accounts. Spain has passed the Chart of Accounts for the Public Sector through the Order EHA/1037/2010, which is adapted to IPSASs; Portugal has just passed Law-decree 192/2015, September 11, and is expecting to start implementation in 2017. In both countries a central role in this reform has been assumed by the national standard-setters for public sector accounting. Based on the “Actor Network Theory” to help understanding how and why organizations interact and how this interaction could have an impact on their choice of accounting policies, this paper aims to analyse, from the Iberian public sector accounting standard-setters perspective, how the adoption/adaptation of IPSASs has been considered and developed in these countries. Research questions to be considered are the following, which will be asked in interviews to the members of the standard-setting committees in both Portugal and Spain: • What were the driving forces leading to the decision to adopt and implement IPSASs? • Which other governmental bodies’ experiences, if any, were considered in the adoption of IPSASs? • What specific steps were/are being undertaken to prepare for the conversion from the existing system to IPSASs? • What were/are the institutional challenges faced/expected to face? • What assistance have been received from IFAC and/or IPSASB, or from other sources, if any, throughout the adoption/implementation? • How can the success of the adoption/implementation be characterised? • What benefits can/have the government derive/derived from the adoption and implementation of IPSASs? The paper is expected to contribute to the understanding of the issues underlying the process of embarking in public sector accounting reforms towards IPSASs.

Factors that influence entrepreneurship activity by gender in the European Union

This research work aims to discuss the gender issue concerning entrepreneurship in European Union countries in a period of nine years, from 2007 to 2015, identifying the factors which drive individuals to be entrepreneurs. The study mainly concentrates on identifying and quantifying the personal, social, political and economic features which are motivating individuals, especially women, to be entrepreneurs, as well as the main difficulties they feel during the process of business creation. In order to explore the entrepreneurial activity across a set of developed countries the econometric methodology of panel data (in particular the fixed effects and random effects models) is applied to a data set of entrepreneurial statistical indicators calculated and made available by the Global Entrepreneurship Monitor. The results show that the knowledge of other start-up entrepreneurs, a desired career choice, the governmental support and the existence of public policies that promote entrepreneurship (specially within the framework of small and medium sized firms) and the transfer of R&D are factors influencing negatively on the rate of female entrepreneurship. None of the observed variables are barriers for male entrepreneurs. The perceived capabilities and opportunities, the entrepreneurial intention, the policies to lower taxes and bureaucracy and the social and cultural norms are identified drives for women for engaging in a process of running their own ventures. These findings offer a set of valid knowledge to understand which measures could be implemented or should be changed and improved at a political and managerial level for stimulating entrepreneurship, especially for women.