pietro gennari - Profile on Academia.edu (original) (raw)
Papers by pietro gennari
CEOS/ESA, SATELLITE EARTH OBSERVATIONS IN SUPPORT OF THE SUSTAINABLE DEVELOPMENT GOALS, 2018
The Committee on Earth Observation Satellites (CEOS)-established under the aegis of the G7 Econom... more The Committee on Earth Observation Satellites (CEOS)-established under the aegis of the G7 Economic Summit of Industrial Nations in-ensures international coordination of the civil Earth-observing programmes of more than 30 of the world's leading space agencies. These agencies are collectively investing billions of dollars in space infrastructure with the capability to provide precise, continuous and sustained observations of the entire planet. Recognising that no single country can satisfy all of the observational requirements necessary for monitoring of the Earth system, governments are taking steps through CEOS to harmonise and integrate their observing network. This Handbook has been prepared for national agencies, UN bodies and other SDG stakeholders working towards a collective implementation of the 2030 Agenda and towards a cost-effective response of countries to the SDG monitoring and reporting challenges. It aims to explain how satellite EO are an essential tool in the development of the information and evidence required by many of the SDG Targets and Indicators. The Handbook seeks to improve understanding of readers from all sectors of society as to the role of satellite EO in support of a well-managed planet and society. Part II compiles a number of contributed articles (from EO data providers, national statistical institutions, UN Custodian Agencies, non-governmental organisations and other SDG stakeholders) aimed at inspiring prospective users as to the possibilities of using EO satellite data. This Part seeks to instruct by practical examples and showcases. Part III focuses on five specific Goals highlighting the potential nature of the contribution from EO satellite data to the 2030 Agenda, with a number of best practice examples.
ISTAT, Proceedings of the VII International Conference of Agricultural Statistics, 2016
The growing awareness of the importance of evidence-based decision making in governments and orga... more The growing awareness of the importance of evidence-based decision making in governments and organizations at all levels emphasises the role of statistics in monitoring and achieving national and international development targets. The Food and Agriculture Organization (FAO) of the United Nations plays an essential role in monitoring global food and agriculture statistics by developing methods and standards, providing capacity building support to member countries, and disseminating global databases. This paper aims to propose a methodology to assess, monitor and report on FAO's statistics work, by evaluating the quality of agricultural data at country level and of their use in evidence based decision-making. FAO's statistics work was last assessed as part of the Corporate Outcome Assessment in 2014 and 2015. Changes in the international policy environment and lessons learned from the previous assessment, led to a revised FAO Results Framework. The 2017 Corporate Outcome Assessment will leverage the last assessment while incorporating some significant improvements. The methodological revisions include the harmonization of the results chain and outcome formulation for FAO's statistics work across Strategic Objectives, alignment with the Sustainable Development Goals (SDGs), and changes to the survey design and sampling methodology.
Committee for the Coordination of Statistical Activities, 2016
Special issue paper of the Committee for the Coordination of Statistical Activities (CCSA) Case s... more Special issue paper of the Committee for the Coordination of Statistical Activities (CCSA) Case studies * : using non-official sources in international statistics CCSA-serving policy makers with international statistics * Earlier versions of the articles were presented at the
2020 Asia-Pacific Statistics Week, 2020
This paper presents the main results for Asia-Pacific countries of the "Statistical Capacity Asse... more This paper presents the main results for Asia-Pacific countries of the "Statistical Capacity Assessment for the Sustainable Development Goals (SDG) indicators under the custodianship of the Food and Agriculture Organization of the United Nations (FAO)" carried out by the Organization at the beginning of 2019. The paper focuses, in particular, on the socioeconomic indicators of the SDG monitoring framework, which countries are usually better equipped to produce and disseminate on a regular basis. In order to provide a comprehensive picture of the statistical capabilities on the National Statistics Systems, the objective of the assessment was not only to assess countries' capacity to monitor and report FAO-relevant SDG indicators, but also to collect information on the presence of national coordination mechanisms for SDG reporting, on the main data collection instruments and statistical infrastructure used at country-level, as well as on the needs for technical and financial assistance. A total of 25 countries in the Asia-Pacific region (52%) participated in the assessment. Despite most countries in the region seem to have established the required mechanisms for coordinating SDG monitoring, their contribution to global SDG reporting is still rather limited. The FAO survey showed that Asia-Pacific countries need to significantly improve their national data collection activities to compile even the SDG indicators related to the economic aspects of food and agriculture. More worryingly, it seems that most of the countries have no plans in the near future to upgrade their current data collection activities in order to generate the required statistical information to monitor progress towards the SDG targets. This provides a negative outlook on the possibility of Asia-Pacific countries to improve their capacity to compile the SDG indicators that are heavily relying on such data collection vehicles. Many countries report that unless they receive the required technical assistance, they will not be able to produce the SDG indicators under FAO custodianship and therefore contribute to global SDG reporting. This highlight the need to mobilize resources to support targeted interventions of technical assistance and to establish partnerships among the UN agencies to help these countries overcome the capacity and financial constraints they are facing.
Il turnover occupazionale: caratteristiche strutturali e andamenti recenti in Italia
Lavoro e relazioni industriali, 2002
Cyclical Evolution and Structural Changes in the Italian Labour Market
Proceedings of the 26° CIRET Conference, Taipei, 2002
Il Lavoro Sommerso: è possibile rilevarlo?
SIS 2000: ATTI DELLA XL RIUNIONE SCIENTIFICA, 2000
La partecipazione ad attività formative in Italia
Lavoro e relazioni industriali, 1999
La durata della disoccupazione nell’indagine sulle Forze di Lavoro
Lavoro e relazioni industriali, 1996
Il ruolo economico delle relazioni industriali
Lavoro e relazioni industriali, 1995
L’impiego di modelli a parametri variabili per la previsione della produzione industriale
Quaderni di Statistica ed Econometria, 1992
La mobilità del lavoro in Italia, un'analisi sui dati più recenti del Ministero del Lavoro
Rassegna di Statistiche del Lavoro, 1990
Le misure di durata della disoccupazione e le informazioni statistiche disponibili in Italia
Studi di Economia e Diritto, 1990
La stima trimestrale dei conti nazionali mediante modelli a parametri variabili
Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle R... more Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
Earth observations for official crop statistics in the context of scarcity of in-situ data
Statistical Journal of the IAOS
Remote sensing offers a scalable and low cost solution for the production of large-scale crop map... more Remote sensing offers a scalable and low cost solution for the production of large-scale crop maps, which can be used to extract relevant crop statistics. However, despite considerable advances in the new generation of satellite sensors and the advent of cloud computing, the use of remote sensing for the production of accurate crop maps and statistics remain dependant on the availability of ground truth data. Such data are necessary for the training of supervised classification algorithms and for the validation of the results. Unfortunately, in-situ data of adequate quality for producing crop statistics are seldom available in many countries. In this paper we compare the performance of two supervised classifiers, the Random Forest (RF) and the Dynamic Time Warping (DTW), the former being a data intensive algorithm and the latter a more data frugal one, in extracting accurate crop type maps from EO and in-situ data. The two classifiers are trained several times using datasets which c...
Statistical Journal of the IAOS
With the adoption of the 2030 Agenda for Sustainable Development, the production of high quality ... more With the adoption of the 2030 Agenda for Sustainable Development, the production of high quality disaggregated estimates of Sustainable Development Goal (SDG) indicators has taken greater significance. In this context, sample surveys are characterized by samples that are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or that do not cover all possible disaggregation domains. To address these issues, indirect estimation approaches such as small area estimation (SAE) techniques can be adopted. The literature on the use of SAE in official statistics is broad and in continuous progress, yet the number of case studies on SAE methods applied to SDG indicators can still be expanded. After a brief review of the main SAE approaches available along with their principal fields of application, the present paper aims contributing to fill this gap by presenting a case study on SAE to produce disaggregated estimates of SDG Indicator 2.3.1, measuring...
Statistical Journal of the IAOS
At the beginning of 2021, the global SDG database contained values of the indicator 5.a.11 for on... more At the beginning of 2021, the global SDG database contained values of the indicator 5.a.11 for only 10 countries. To address this gap, UN Women and FAO launched a concerted effort to accelerate national reporting on the indicators through a multi-pronged strategy. Starting in mid-2021, the initiative supported 10 pilot countries in Asia, the Pacific and Latin America to assess their data systems and determine the suitability of existing data collection vehicles for gathering the required data. The ultimate objective was to integrate an appropriately designed short module in an ongoing national survey in a large number of countries. In addition, the FAO-UN Women initiative developed methods for generating proxy measures from internationally-supported national surveys that gather information on agricultural land ownership but not sufficient enough to estimate 5.a.1 according to the internationally agreed methodology endorsed by the UN Statistical Commission. This exercise provided new...
The "1-2" Survey : a data collection strategy for informal sector and informal employment statistics
United Nations, 2009
Alternative methods for disaggregating Sustainable Development Goal indicators using survey data
Statistical Journal of the IAOS
Samples used in most surveys are either not large enough to guarantee reliable direct estimates f... more Samples used in most surveys are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or do not cover all possible disaggregation domains. After having described a holistic strategy for producing disaggregated estimates of Sustainable Development Goal (SDG) indicators, this paper discusses alternative sampling and estimation methods that can be applied when sample surveys are the primary data source. In particular, the paper focuses on strategies that can be implemented at different stages of the statistical production process. At the design stage, the paper describes a series of sampling approaches that ensure a “sufficient” sampling size for each disaggregation domain. In this context, the article highlights the main limitations of traditional sampling approaches and shows how ad-hoc techniques could overcome some of their key constraints. At the analysis stage, it discusses an indirect model-assisted estimation approach to integrate dat...
Role of international, regional and country organizations in adapting to statistical standards and regional differences: The case of food and agriculture statistics
Statistical Journal of the IAOS
The adoption of international standards is essential to producing internationally comparable offi... more The adoption of international standards is essential to producing internationally comparable official statistics. However, as the particular case of the adoption of SDG indicators demonstrates, this is by no means a linear process. According to FAO’s SDG data gap assessment conducted in 2019 and other statistical capacity assessment reports (e.g. World Bank, AfDB…), financial, professional and technological capacities of national statistical agencies vary greatly between countries and regions, as does the level of political support and commitment to statistics. These differences call for more targeted interventions by international institutions to support the uptake of statistical standards. To face this challenge, FAO is increasingly building the capacity of its regional and country offices to better mainstream food and agricultural statistics in regional and national cooperation strategies and activities, while also stepping up its resource mobilization efforts. Regional roadmaps ...
CEOS/ESA, SATELLITE EARTH OBSERVATIONS IN SUPPORT OF THE SUSTAINABLE DEVELOPMENT GOALS, 2018
The Committee on Earth Observation Satellites (CEOS)-established under the aegis of the G7 Econom... more The Committee on Earth Observation Satellites (CEOS)-established under the aegis of the G7 Economic Summit of Industrial Nations in-ensures international coordination of the civil Earth-observing programmes of more than 30 of the world's leading space agencies. These agencies are collectively investing billions of dollars in space infrastructure with the capability to provide precise, continuous and sustained observations of the entire planet. Recognising that no single country can satisfy all of the observational requirements necessary for monitoring of the Earth system, governments are taking steps through CEOS to harmonise and integrate their observing network. This Handbook has been prepared for national agencies, UN bodies and other SDG stakeholders working towards a collective implementation of the 2030 Agenda and towards a cost-effective response of countries to the SDG monitoring and reporting challenges. It aims to explain how satellite EO are an essential tool in the development of the information and evidence required by many of the SDG Targets and Indicators. The Handbook seeks to improve understanding of readers from all sectors of society as to the role of satellite EO in support of a well-managed planet and society. Part II compiles a number of contributed articles (from EO data providers, national statistical institutions, UN Custodian Agencies, non-governmental organisations and other SDG stakeholders) aimed at inspiring prospective users as to the possibilities of using EO satellite data. This Part seeks to instruct by practical examples and showcases. Part III focuses on five specific Goals highlighting the potential nature of the contribution from EO satellite data to the 2030 Agenda, with a number of best practice examples.
ISTAT, Proceedings of the VII International Conference of Agricultural Statistics, 2016
The growing awareness of the importance of evidence-based decision making in governments and orga... more The growing awareness of the importance of evidence-based decision making in governments and organizations at all levels emphasises the role of statistics in monitoring and achieving national and international development targets. The Food and Agriculture Organization (FAO) of the United Nations plays an essential role in monitoring global food and agriculture statistics by developing methods and standards, providing capacity building support to member countries, and disseminating global databases. This paper aims to propose a methodology to assess, monitor and report on FAO's statistics work, by evaluating the quality of agricultural data at country level and of their use in evidence based decision-making. FAO's statistics work was last assessed as part of the Corporate Outcome Assessment in 2014 and 2015. Changes in the international policy environment and lessons learned from the previous assessment, led to a revised FAO Results Framework. The 2017 Corporate Outcome Assessment will leverage the last assessment while incorporating some significant improvements. The methodological revisions include the harmonization of the results chain and outcome formulation for FAO's statistics work across Strategic Objectives, alignment with the Sustainable Development Goals (SDGs), and changes to the survey design and sampling methodology.
Committee for the Coordination of Statistical Activities, 2016
Special issue paper of the Committee for the Coordination of Statistical Activities (CCSA) Case s... more Special issue paper of the Committee for the Coordination of Statistical Activities (CCSA) Case studies * : using non-official sources in international statistics CCSA-serving policy makers with international statistics * Earlier versions of the articles were presented at the
2020 Asia-Pacific Statistics Week, 2020
This paper presents the main results for Asia-Pacific countries of the "Statistical Capacity Asse... more This paper presents the main results for Asia-Pacific countries of the "Statistical Capacity Assessment for the Sustainable Development Goals (SDG) indicators under the custodianship of the Food and Agriculture Organization of the United Nations (FAO)" carried out by the Organization at the beginning of 2019. The paper focuses, in particular, on the socioeconomic indicators of the SDG monitoring framework, which countries are usually better equipped to produce and disseminate on a regular basis. In order to provide a comprehensive picture of the statistical capabilities on the National Statistics Systems, the objective of the assessment was not only to assess countries' capacity to monitor and report FAO-relevant SDG indicators, but also to collect information on the presence of national coordination mechanisms for SDG reporting, on the main data collection instruments and statistical infrastructure used at country-level, as well as on the needs for technical and financial assistance. A total of 25 countries in the Asia-Pacific region (52%) participated in the assessment. Despite most countries in the region seem to have established the required mechanisms for coordinating SDG monitoring, their contribution to global SDG reporting is still rather limited. The FAO survey showed that Asia-Pacific countries need to significantly improve their national data collection activities to compile even the SDG indicators related to the economic aspects of food and agriculture. More worryingly, it seems that most of the countries have no plans in the near future to upgrade their current data collection activities in order to generate the required statistical information to monitor progress towards the SDG targets. This provides a negative outlook on the possibility of Asia-Pacific countries to improve their capacity to compile the SDG indicators that are heavily relying on such data collection vehicles. Many countries report that unless they receive the required technical assistance, they will not be able to produce the SDG indicators under FAO custodianship and therefore contribute to global SDG reporting. This highlight the need to mobilize resources to support targeted interventions of technical assistance and to establish partnerships among the UN agencies to help these countries overcome the capacity and financial constraints they are facing.
Il turnover occupazionale: caratteristiche strutturali e andamenti recenti in Italia
Lavoro e relazioni industriali, 2002
Cyclical Evolution and Structural Changes in the Italian Labour Market
Proceedings of the 26° CIRET Conference, Taipei, 2002
Il Lavoro Sommerso: è possibile rilevarlo?
SIS 2000: ATTI DELLA XL RIUNIONE SCIENTIFICA, 2000
La partecipazione ad attività formative in Italia
Lavoro e relazioni industriali, 1999
La durata della disoccupazione nell’indagine sulle Forze di Lavoro
Lavoro e relazioni industriali, 1996
Il ruolo economico delle relazioni industriali
Lavoro e relazioni industriali, 1995
L’impiego di modelli a parametri variabili per la previsione della produzione industriale
Quaderni di Statistica ed Econometria, 1992
La mobilità del lavoro in Italia, un'analisi sui dati più recenti del Ministero del Lavoro
Rassegna di Statistiche del Lavoro, 1990
Le misure di durata della disoccupazione e le informazioni statistiche disponibili in Italia
Studi di Economia e Diritto, 1990
La stima trimestrale dei conti nazionali mediante modelli a parametri variabili
Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle R... more Consiglio Nazionale delle Ricerche (CNR). Biblioteca Centrale / CNR - Consiglio Nazionale delle RichercheSIGLEITItal
Earth observations for official crop statistics in the context of scarcity of in-situ data
Statistical Journal of the IAOS
Remote sensing offers a scalable and low cost solution for the production of large-scale crop map... more Remote sensing offers a scalable and low cost solution for the production of large-scale crop maps, which can be used to extract relevant crop statistics. However, despite considerable advances in the new generation of satellite sensors and the advent of cloud computing, the use of remote sensing for the production of accurate crop maps and statistics remain dependant on the availability of ground truth data. Such data are necessary for the training of supervised classification algorithms and for the validation of the results. Unfortunately, in-situ data of adequate quality for producing crop statistics are seldom available in many countries. In this paper we compare the performance of two supervised classifiers, the Random Forest (RF) and the Dynamic Time Warping (DTW), the former being a data intensive algorithm and the latter a more data frugal one, in extracting accurate crop type maps from EO and in-situ data. The two classifiers are trained several times using datasets which c...
Statistical Journal of the IAOS
With the adoption of the 2030 Agenda for Sustainable Development, the production of high quality ... more With the adoption of the 2030 Agenda for Sustainable Development, the production of high quality disaggregated estimates of Sustainable Development Goal (SDG) indicators has taken greater significance. In this context, sample surveys are characterized by samples that are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or that do not cover all possible disaggregation domains. To address these issues, indirect estimation approaches such as small area estimation (SAE) techniques can be adopted. The literature on the use of SAE in official statistics is broad and in continuous progress, yet the number of case studies on SAE methods applied to SDG indicators can still be expanded. After a brief review of the main SAE approaches available along with their principal fields of application, the present paper aims contributing to fill this gap by presenting a case study on SAE to produce disaggregated estimates of SDG Indicator 2.3.1, measuring...
Statistical Journal of the IAOS
At the beginning of 2021, the global SDG database contained values of the indicator 5.a.11 for on... more At the beginning of 2021, the global SDG database contained values of the indicator 5.a.11 for only 10 countries. To address this gap, UN Women and FAO launched a concerted effort to accelerate national reporting on the indicators through a multi-pronged strategy. Starting in mid-2021, the initiative supported 10 pilot countries in Asia, the Pacific and Latin America to assess their data systems and determine the suitability of existing data collection vehicles for gathering the required data. The ultimate objective was to integrate an appropriately designed short module in an ongoing national survey in a large number of countries. In addition, the FAO-UN Women initiative developed methods for generating proxy measures from internationally-supported national surveys that gather information on agricultural land ownership but not sufficient enough to estimate 5.a.1 according to the internationally agreed methodology endorsed by the UN Statistical Commission. This exercise provided new...
The "1-2" Survey : a data collection strategy for informal sector and informal employment statistics
United Nations, 2009
Alternative methods for disaggregating Sustainable Development Goal indicators using survey data
Statistical Journal of the IAOS
Samples used in most surveys are either not large enough to guarantee reliable direct estimates f... more Samples used in most surveys are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or do not cover all possible disaggregation domains. After having described a holistic strategy for producing disaggregated estimates of Sustainable Development Goal (SDG) indicators, this paper discusses alternative sampling and estimation methods that can be applied when sample surveys are the primary data source. In particular, the paper focuses on strategies that can be implemented at different stages of the statistical production process. At the design stage, the paper describes a series of sampling approaches that ensure a “sufficient” sampling size for each disaggregation domain. In this context, the article highlights the main limitations of traditional sampling approaches and shows how ad-hoc techniques could overcome some of their key constraints. At the analysis stage, it discusses an indirect model-assisted estimation approach to integrate dat...
Role of international, regional and country organizations in adapting to statistical standards and regional differences: The case of food and agriculture statistics
Statistical Journal of the IAOS
The adoption of international standards is essential to producing internationally comparable offi... more The adoption of international standards is essential to producing internationally comparable official statistics. However, as the particular case of the adoption of SDG indicators demonstrates, this is by no means a linear process. According to FAO’s SDG data gap assessment conducted in 2019 and other statistical capacity assessment reports (e.g. World Bank, AfDB…), financial, professional and technological capacities of national statistical agencies vary greatly between countries and regions, as does the level of political support and commitment to statistics. These differences call for more targeted interventions by international institutions to support the uptake of statistical standards. To face this challenge, FAO is increasingly building the capacity of its regional and country offices to better mainstream food and agricultural statistics in regional and national cooperation strategies and activities, while also stepping up its resource mobilization efforts. Regional roadmaps ...