Riccardo D'AlbertoUniversity of Bologna | UNIBO · Department of Statistical Sciences "Paolo Fortunati" STAT
Post-Doc Research Fellow in Stat Sci @AlmaMaterUNIBO. Project Member of CONSOLE H2020 Project and LIFT H2020 Project.
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Data integration of different data sources. Statistical Matching imputation, with a focus on data set building by means of the Non-parametric Micro Statistical Matching. Analysis of the hot deck techniques and distance functions applied to data integration problems. Causal effects analysis, impact evaluation and counterfactual approach analysis, with a focus on policy impact evaluation of the EU Common Agricultural Policy, the agri-environmental measures and the environment.
January 2020 - present
- LIFT project - Low-Input Farming and Territories – Integrating knowledge for improving ecosystem based farming; Program: H2020, SFS-2017-2; Call: H2020-SFS-2016-2017; GA number: 770747; Budget: 5.000.000,00 €; Duration: 48 months
May 2019 - present
- CONSOLE project - CONtract SOLutions for Effective and lasting delivery of agri-environmental-climate public goods by EU agriculture and forestry; Program: H2020, RUR-03; Call: H2020-RUR-2018-2; GA number: 817949; Budget: 4.999.998,75 €; Duration: 36 months
November 2016 - September 2018
- PROVIDE project - PROVIding smart DElivery of public goods by EU agriculture and forestry; Program: H2020, SC2; Call: H2020-ISIB-2014-2; GA number: 633838; Budget: 2.900.000 €; Duration: 36 months
A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental schemes (AESs), whose goal is to foster the provision of a wide range of environmental public goods. Despite this effort, little is known on the actual environmental and economic impact of the AESs, due to the non-experimental conditions of the assessment exerc...
Contract attributes are strong motivators for eliciting farmers’ preferences for a particular agri-environmental scheme. Our study aims to conduct a systematic literature review to highlight the attributes used in choice experiment studies of agri-environmental schemes using the PRISMA framework. We obtained 34 studies for an in-depth review, throu...
Land abandonment is affecting several areas of Europe, and the issue has since some years become a policy objective. The consequences of land abandonment are however difficult to assess as both agriculture and land abandonment are linked to socio-environmental public goods, but the relationship between public good provision and land use, as well as...
This document presents the results of Task 3.2 (farm technical-economic performance) in workpackage (WP) 3 (farm performance of ecological agriculture) of the LIFT project. The overall aim of Task 3.2 is to assess and compare technical-economic farm performance across the European Union (EU) depending on the degree of ecological approaches adopted...
Connections among Big Data, administrative registers, general censuses and smart surveying are receiving increasing attention in several domains where statistics is more and more important. When there are different data sets at hand, Record Linkage and Statistical Matching are usually applied to integrate the in- formation which they separately col...
Big Data and the ‘Internet of Things’ are transforming the processes of data collection, storage and use. The relationship between data collected first hand (primary data) and data collected by someone else (secondary data) is becoming more fluid. New possibilities for data collection are envisaged. Data integration is emerging as a reliable strate...
Researchers and policymakers seek a better understanding of the social demand for agri-environmental public goods (PGs), that, being nonmarket goods, are usually valuated by means of stated preference methods by eliciting people's willingness to pay (WTP). In actual policy design, benefit transfer (BT) is often preferred to novel surveys which are...
The integration of different data sources is a widely discussed topic among both the researchers and the Official Statistics. Integrating data helps to contain costs and time required by new data collections. The non-parametric micro Statistical Matching (SM) allows to integrate ‘live’ data resorting only to the observed information, potentially av...
This work addresses the challenge of integrating different farm data sources by exploiting all the information the researchers already have. Instead of making a new survey (hence reducing costs and time), information from different sources already at disposal can be integrated, building a new complete and homogeneous dataset, which can be used for...
Sometimes, the integration of different data sources is the only suitable solution to microdata shortage. Among the several data integration methodologies, Statistical Matching (SM) imputation allows to integrate different datasets when the same records are not uniquely identifiable through a detriment observed variable and/or beyond a modelled res...
This paper presents a compared approach to the valuation of public goods generated by agriculture and forestry in the hill and mountain areas of the Emilia-Romagna region. Indeed, applying both a Choice Experiment and a Contingent Valuation Method to a professional agency’s panel data of more than 1000 respondents, the present work aims at estimati...
This paper presents a first effort of integrating two different data sources referred to the same target farm population. Due to the lack of neither available (or accessible) nor homogeneous and completely detailed official administrative data on farm population, this work has the overall aim of integrating administrative and survey data through St...
Lately, I have been working on Choice Experiments and, above all, the Benefit Transfer methodology. I have some ideas and a methodological proposal concerning a further development of the BT approach and I would like to test it also with real data, maybe using WTP or WTA estimates and data related to CE surveys that are as much as possible trustful and robust.
I would need data on a study and policy site to test my methodological proposal and compare it with the classical BT approaches. I could also use a whole sample and randomly split it to create a policy and a study site.
I was wondering if you have a data set or elementary data to share that I can freely use for a paper application (potentially). Alternatively, I would like to know if you could indicate to me any repository where such data could be available.
Sincerely thanking you for your kind attention,
LIFT is a research project (2018-2022) aiming to identify and understand how socio-economic and policy drivers impact on the development of ecological approaches to farming and assess the performance and sustainability of such approaches, taking into account different farming systems at farm, farm-group and territorial scales. Coordinated by INRAE (French National Institute for Research on Agriculture, Food and the Environment, www.inrae.fr) the consortium includes 17 partners from 12 countries. Further information can be found on the project website: www.lift-h2020.eu. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 770747.
The objective of CONSOLE is to boost innovation in the lasting delivery of agri-environmental-climate public goods (AECPGs) by EU agriculture and forestry. To achieve this objective, CONSOLE builds a Community of Practice (CoP) to cocreate an empirically validated contractual framework, design and test effective and efficient contract models and support their implementation by multiple actors. The CONSOLE multi-actor and multidisciplinary team brings together 24 partners in 13 countries, covering representative typologies of actors involved in AECPGs contracts design and implementation. The CONSOLE framework will allow improved design and facilitate implementation of innovative contract solutions for the provision of AECPGs under various conditions across the EU. The CONSOLE framework includes: a) a catalogue showcasing successful experiences and good practices in AECPGs contracting and cooperation models; b) improved AECPGs contracts solutions and their assessment for different levels of governance; c) a comprehensive guide to the process for the design of AECPGs contracts; d) documentation, training and supporting materials. CONSOLE includes a comprehensive analysis of at least 52 case studies of existing experiences encompassing land tenure arrangements, result-based approaches, collective implementation and value chain-based remuneration, supported by surveys and modelling. Building upon these experiences, improved contract solutions will be developed in collaboration with the CoP. The CONSOLE framework will be tested in real decision-making contexts and will develop into a supporting tool for actors in the field, enabling the delivery and sustainability of AECPGs. Insights will improve policy design towards the achievement of the Sustainable Development Goals, in particular through environmental policies and the post-2020 CAP.
http://www.provide-project.eu/ Together with food, materials and energy, agriculture and forestry contribute to the production of a wide range of public goods. Examples are landscape, biodiversity, water quality and availability, soil fertility, climate stability, flood and fire protection, food security, animal welfare and rural vitality, as well as the management of the majority of land areas in the EU. Some of these goods are of primary importance for the environment and society welfare. However, as there is no market for such goods, they are often provided in quantity lower than socially optimal. The objective of the PROVIDE project is to develop a conceptual basis, evidence, tools and improved incentive and policy options to support the “smart” provision of public goods by the EU agriculture and forestry ecosystems. PROVIDE will consider a wide range of public goods and legislations, and will address the issue in a multi-scale framework, working both at the EU level and at case study level in thirteen Countries of the EU. The project will first perform a mapping and inventory of public goods and the mechanisms producing such goods, allowing to identify ’hotspots’ for mechanisms and policy development. Around these ’hotspots’, the project will then value different public goods and explore value transferability across several regions and ecosystems. Next, to meet a smart production of public goods, consistent with the current needs of productivity, bioeconomy strategy and rural development, innovative policy tools and mechanisms will be comparatively evaluated. The outcomes of these activities will feed information into a framework and toolbox. The practical results of the project will be: a renewed (“un-packed”) conceptualization of the notion of public goods; an operational framework to support the smart provision of public goods; a toolbox putting together an inventory of options, operational means for valuation and evaluation, and a selection of policy/sector mechanisms; a consolidated and long-lasting community of knowledge and practice. The project PROVIDE will mobilise 14 partners from 13 different countries in the EU.