Multi-output Technical Efficiency for Argentinean Dairy Farms Using Stochastic Production and Stochastic Distance Frontiers with Unbalanced Panel Data

Published by Asociación de Economistas Agrarios de ChileArgentina, dairy farms, panel data, stochastic production and stochastic distance frontiers, technical efficiency, Production Economics, Productivity Analysis,

Engage D2.1 Communication plan, website, and visual identity material

The purpose of this document, Deliverable 2.1, is to describe the dissemination plan, dissemination policy and initial dissemination products of the SESAR 2020 Exploratory Research action Engage, taking into account its specifications and the target audience. The following pages document the corresponding tasks involved in D2.1

Productivity and Subsidies in European Union Countries: An Analysis for Dairy Farms Using Input Distance Frontiers

The major objective of this paper is to examine the association between agricultural subsidies and farm efficiency using data from the European Farm Accountancy Data Network (FADN) for operations specializing on dairy. The analysis covers the 18 year period going from 1990 to 2007 and includes the following seven countries: Denmark; France; Germany; Ireland; Spain; the Netherlands; and the United Kingdom. Separate translog stochastic input distance frontiers are estimated for each country. The key results show high average technical efficiency (TE) ranging from 91.8% to 94.9%, average rates of technological change going from -0.6% to 1.4%, and increasing returns to scale (1.24 to 1.44) across all seven countries. In addition, higher subsidy and hired labor dependence are found to be significantly associated with higher technical inefficiency across all seven countries. Moreover, the latest Common Agricultural Policy (CAP) regime introducing fully decoupled payments has reduced TE in all countries considered except Denmark.Subsidies, CAP, technical efficiency, technological progress, returns to scale, Europe, dairy production, input distance frontiers, Livestock Production/Industries, Productivity Analysis,

DATASET2050 D2.2 - Data-driven Model

The purpose of this document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to availability of data and the high number of involved stakeholders. There are additional phenomena that cannot be measured, so the approach to assess performance is by collecting sample data and/or model the different elements of the mobility processes. This modelling exercise, documented in D2.2, is a powerful tool that assesses how the process performs in the current scenario, and beyond that, identify bottlenecks how modelling paradigms can be improved to take Europe to the 4-hour door-to-door target. The model utilises data that has been sourced, analysed and documented thus far (D2.1), as well as the numerous inputs from the demand and supply profiles (WP3 and WP4, namely: D3.1 and D4.1). This deliverable documents how the model is to be built, along with its scope and the development strategy

DATASET2050 D2.1 - Data requirements and acquisition

The purpose of this document, Deliverable 2.1, is to describe the sources of data required by the H2020 coordination and support action DATASET2050. Data requirements have been categorised into seven broad groups to support WP3 and WP4: demographic; passenger demand; passenger type; door-to-kerb; kerb-to-gate; airside capacity and competing services. The current scenario is well supported by existing datasets, however the two future scenarios require modelled data

DATASET2050 D3.2 - Future Passenger Demand Profile

The FlightPath 2050 goal of enabling 90 per cent of European passengers to complete their door-to-door journey within four hours is a very challenging task. A major objective of the DATASET2050 project is to deliver insight into both current and future processes relating to the European transport system in this context. The deliverable D3.2 "Future Passenger Demand Profile" focuses on the future demand side of European (air) transport. Namely, the first goal is to develop a range of passenger profiles for the year 2035 and to provide implications for passenger profiles for 2050. For this purpose, the development of passenger characteristics - including demographic, geographic, socio-economic and behavioural aspects as well as particular mobility patterns - is analysed using available European data and forecasts. Based on this analysis, on specific mobility behaviour of the different member states (EU28 and EFTA countries) as well as on a high-level-factor identification, six different passenger profiles for 2035 are developed. These six profiles differ by main travel purpose (private, business and leisure, which is the combination of business and leisure trips), predominant age group, income level (low, medium, high) and several other characteristics. Furthermore, a demand model is applied showing the high relevance of gross domestic product (GDP) and education for a steady growth of passenger traffic volume in the EU28 and EFTA countries until 2050. The outcomes of the current deliverable will be put in contrast with those coming from D4.2 (Future supply profile), enabling thus a comprehensive assessment on the European door-to-door mobility in the future. Specifically, the deliverable results will be used in D5.1 (Mobility assessment), D5.2 (Assessment execution) and D5.3 (Novel concept foundations for European mobility)

DATASET2050 D5.1 - Mobility assessment

This document provides documentation on the mobility assessment metrics and methods for use within DATASET2050. On the one hand it describes what the key performance areas, attributes, indicators and metrics such as seamlessness, cost, duration, punctuality, comfort, resilience, etc. incorporated into the model are. On the other, it gives details about mobility metric computation, modelling methodology, visualisations used etc

DATASET2050 D4.1 - Current Supply Profile

The purpose of this document, Deliverable 4.1, is to describe the Current Supply Profile for its further use in different threads by the DATASET2050 Horizon 2020 coordination and support action. This deliverable comprises the work conducted in order to define and list the door-to-door mobility supply components, as described in task 4.1. It presents the baseline supply situation with respect to current door-to-door trips within Europe, including an assessment, identification and mode of the mobility services currently available in Europe (airport access/egress times, airport processes times etc.) All the above will allow the DATASET2050 project partners to determine the time required to undertake the current processes involved from leaving the place of origin (the "Door") to the point of arrival at the airport (the "Kerb"), from the Kerb to the moment the passenger has had their boarding card scanned immediately prior to embarkation (the "Gate"). The same approach is used for the Gate-to-Gate processes (including connecting flights and the transfer process), and finally Gate-to-Kerb and Kerb-to-Door. The inherent asymmetries of what are, in principle, symmetric processes have been assessed (e.g.: Door-to-Kerb vs. Kerb-to-Door). D4.1 directly feeds the supply side of the mobility model that will be run in WP5 of DATASET2050

An ecological and fishing approach to support management decisions

Leitão, F., Monteiro, J. N., Cabral, P., Teodósio, M. A., & Roa-Ureta, R. H. (2023). Revealing the role of crab as bait in octopus fishery: An ecological and fishing approach to support management decisions. Marine Policy, 158, 1-11. [105878]. https://doi.org/10.1016/j.marpol.2023.105878 --- This study received Portuguese National Funding from MAR2020 project CRUSTAPANHA (MAR-01.04.02-FEAMP-0005 CRUSTAPANHA). FL has received Portuguese national funds from FCT within the contract program DL57/2016/CP1361/CT0008 and FCT 2022.04803. CEECIND. JNM received an FCT PhD fellowship SFRH/BD/06336/2021. This study received Portuguese national funds from FCT - Foundation for Science and Technology through projects UIDB/04326/2020, UIDP/04326/2020 and LA/P/0101/2020. Authors would like to acknowledge all fishers’ associations that participated in CRUSTAPANHA project and helped the completion of the study: AAPF- Associação de Armadores e Pescadores da Fuseta (Fuseta); Associação Armalgarve Polvo Organização De Produtores (Quarteira); OLHAOPESCA Organização de Produtores de Pesca do Algarve, C.R.L. (Olhão). We acknowledge DGRM for fisheries data provided and for granting licenses for researchers onboard fishing vessel; To the coast guards forces of the following ports: Capitania do Porto de Albufeira; Capitania do Porto de Faro; Capitania do Porto de Olhão; Capitania do Porto de Lagos; Capitania do Porto de Tavira; We would like to acknowledge specific captains due to their role in the study, namely: Ricardo Santana; Francisco Molina; Arlindo da Silva Correia; Paulo Guerreiro. We would like to acknowledge all the members of ECOREACH group that help in the measurement of the octopus specimens, namely Andreia Ovelheiro, Daniela Nobre, Juan Bueno-Pardo and Miguel PintoIn southern Portugal, artisanal octopus fisheries play an important socioeconomic role. Live crab bait in traps was used up to 2010 and banned in 2012. Such regulation, based on co-management advice, was not established under a scientific fundament. As a result, a long-standing controversy ensued with some fishing associations claiming that live crab bait increased fishing effort and exploitation rates and therefore risked the octopus stock status, while other fishers denied all these alleged impacts. The issue has not been resolved so far due to lack of scientific studies. In this study, we resolve the controversy conducting experimental fishing to determine by-catch and octopus catch rates using live crab bait versus other types of baits based on fish and assess the stock status of octopus over-time with constant parameters (hypothesis of no effect of the use of live crab bait) versus time-varying parameters (hypothesis of raised exploitation rates and riskier stock status). Bycatch was very low regardless of bait type. Our experimental fishing trials showed that fish-based baits increase bycatch and octopus catch rates. Stock assessment models showed that exploitation rates and stock status do not worsen in years of use of crab bait. We conclude that the use of crab bait in octopus fishery does not lead to increased exploitation rate or risks for stock sustainability status. Other considerations involving fishing costs and fishing operations further highlight the advantages of lifting the ban on the use of live crab bait in the Algarve octopus fishery.publishersversionpublishe

Admission Control Policies in Multiservice Cellular Networks: Optimum Configuration and Sensitivity

Abstract. We evaluate different call admission control policies in various mul-tiservice cellular scenarios. For each of the studied policies we obtain the maximum calling rate that can be offered to the system to achieve a given QoS objective defined in terms of blocking probabilities. We propose an optimiza-tion methodology based on a hill climbing algorithm to find the optimum con-figuration for most policies. The results show that policies of the trunk reserva-tion class outperform policies that produce a product-form solution and the im-provement ranges approximately between 5 and 15 % in the scenarios studied.