Fifth International Conference on Agricultural Statistics (ICAS-V)
“Integrating Agriculture into the National Statistical Systems”
Kampala, Uganda, 13-15 October 2010
Theme 1 – Conceptual Framework
Session 1.1 – Determining the scope and coverage of agriculture
Chair: Adrian Bugg Venue: Meera Room
47 Pica-Ciamarra, Ugo; Baker, Integrating livestock into agricultural statistics:
Derek; Emwanu, Thomas; The AU-IBAR, FAO, ILRI, WB Data Innovation
Morgan, Nancy Project
107 Everaers, Pieter; Selenius, John Convergence of the theoretical model with the
current situation in the EU
108 Tariku Abaye, Aberash The 2003 pastoral areas livestock census and the
data needs in the national strategy for the
development of statistics (NSDS) in Ethiopia
69 Tsuji, Sachiko; Santosa, Importance of the Global Strategy for the fishery
Bambang Heru and aquaculture sector and its implementation for
Indonesian economy data collection
Session 1.2 – Linking Agricultrual Economic and Social Statistics
Chairs: Cheryl Christensen and Todd Benson Venue: Meera Room
23 Acs, Szvetlana; Delincé, The link between Agricultural and Rural Statistic
Jacques; Ferrari, Emanuele; and Agricultural Modelling
Gonzalez-Mellado, Aida;
Sammeth, Frank
82 Kalibbala, Juliet N. Ssekandi Exploring the Linkages between Public Service
Delivery and Food and Nutrition Security
Outcomes in Uganda
26 Azzarri, Carlo; Carletto, Gero; Measure for Measure: Systematic Patterns of
Covarrubias, Katia; De La O, Deviation between Measures of Income and
Ana Paula; Petracco, Carly; Consumption in Developing Countries - Evidence
Scott, Kinnon; Zezza, Alberto from a New Dataset
109 Dillon, Andrew; Beaman, Lori; Survey Design Choices and their Consequences:
Bardasi, Elena; Beegle, Implications for Economic, Agricultural and Social
Kathleen; Serneels, Pieter Surveys
125 Badiane, Ousmane; Odjo, Promoting Evidence and Outcome Based
Sunday; Ulimwengu, John M. Food Policy Planning and Implementation in
Africa - Data, Analysis, and Policy Evaluation
Session 1.3 – Linking Agricultural and Environment Statistics with Land Use
Chair: Mary Bohman Venue: Meera Room
78 Nickerson, Cynthia Integrating Agriculture and Other Land Use
Statistics: the U.S. Experience
79 Murray, Siobhan; Larson, Gauging the productivity gap in Africa: Matching
Donald the potential from natural endowments with
outcomes from household surveys
96 Barasa, Bernard; Egeru, Analysis of Land Use/Cover Trends in Kirima
Anthony; Okello, Patrick sub/County Kanungu District;
61 Watt, Jean Frames used for agricultural and forestry surveys
in New Zealand
Theme 2 – New Technologies
Session 2.1 – Remote Sensing Applications
Chair: Jeff Bailey Venue: Sheena Room
17 Benedetti, Roberto; Filipponi, Small Area Estimation Of Crop Area Using
Danila; Piersimoni, Federica; Remotely Sensed Data
Postiglione, Paolo
48 Bailey, Jeffrey T.;Boryan, Claire Remote Sensing Uses in Agriculture at the
National Agricultural Statistics Service
59 Carletto, Calogero; Savastano, Using Global Position System for Land
Sara; Zezza, Alberto Measurement: Testing the Farm size-Productivity
Relationship
n.a. Laykam, Konstantin Not available
Session 2.2 – Technology for data collection
Chairs: Flavio Bolliger and George MuAmmar Venue: Sheena Room
14 Asare-Marfo, Dorene; Birol, Investigating Farmers’ Choice of Pearl Millet
Ekin; Roy, Devesh Varieties in India to Inform Targeted
Biofortification Interventions: Modalities of Multi-
Stakeholder Data Collection
25 Harris, James M.; Gerling, Technology Advancing Data Collection: Thin
Michael W. Client Computer Assisted Personal Interviewing
in the National Agricultural Statistics Service’s
2010 Field Data Collection Program
97 Keita, Naman; MuAmmar, Issues and guidelines for the emerging use of
George; Carfagna, Elisabetta GPS and PDAs in agricultural statistics in
developing countries ;
100 Chalmers, Neil; Broadbent, Computer Assisted Personal Interviews in the
Louise Context of Agricultural Surveys:
Key Features and Preliminary Ideas for Further
Development
Session 2.3 – Integrated Data Dissemination (data Warehouse, Data Fusion)
Chair: Giovanni Alfredo Barbieri Venue: Sheena Room
4 Mudesir Seid, Yakob Use of technologies for data collection, capturing,
archiving and dissemination-the Ethipian
expereince
36 Weicheng, Du Unify collection tools to improve information
sharing and enhance early warning
49 Lehman, Joel M. Data Warehousing and Web 2.0 Data
Dissemination
118 Jern, Mikael Publishing dynamic statistics visualization stories
technique helps increasing people’s analysis and
information sharing
Theme 3 – Global Strategy Implementation Components
Session 3.1 – Agricultural Statistics Country Assessment (developing the agricultural
DQAF)
Chair: E.S.K Muwanga-Zake Venue:
Victoria Ballroom
24 Kamgaing, Serge From metadata for agricultural statistics to data
quality assessment: the case of Cameroon
32 Recide, Romeo S. Enhancing the Metadata System to Support the
Data Quality Assurance Framework: The
Philippine Experience
133 Tempelman,Diana Improving data quality using a gender sensitive
perspective of agricultural statistics: "HOW TO"
lessons learned from Africa
111 Mayinza, Seth; Ouma, Flavia; In the Construction of an International Agricultural
MUWANGa-ZaKE, E.S.K; Data Quality Assessment Framework (ADQAF)
Xiaoning Gong
Session 3.2 – Training Component
Chairs: Graham Eele and Oumar Sarr Venue:
Victoria Ballroom
30 Bhatia, V.K. Teaching and Training of Agricultural Statistics
93 Mathai, Jose Role of universities in statistical capacity building:
The case of the Department of Applied Statistics
at National University of Rwanda
112 Ssekiboobo, A.M.N; Muwanga- Prospects And Challenges Of Training In
Zake, E.S.K. Agricultural Statistics At Different Levels In A
Developing Country
113 Eele, G.J; Sarr, O. Putting in Place the Training Capacity Needed to
Implement the Global Strategy for Agricultural
Statistics in Africa
Session 3.3 – Technical Assistance Component
Chairs: Ronald Luttikhuizen and Adalbert Nshimyumuremyi Venue:
Victoria Ballroom
90 Luttikhuizen, Ronald; KAMARA; Technical Assistance for Agriculture Statistics:
Momodu World Banks role and GDDS II and Sierra Leone
experiences
105 Gennari, Pietro; Keita, Naman New approaches to Technical Assistance for
sustainable national agricultural statistics systems
in the framework of the Global Strategy to
Improve Agricultural Statistics
114 Kiregyera, Ben; Global Strategy for Improving Agricultural
Ngendakumana, Vincent; statistics: Technical Assistance Component of the
Nshimyumuremyi, Adalbert Implementation Plan for Africa
126 Mayinza, Seth Technical Assistance in Agricultural Statistics, the
Experience of Uganda
Session 3.4 – Research Agenda
Chairs: Cynthia Clark and Naman Keita Venue: Sheena
101 Keita, Naman; Carfagna, Overview of methodological issues for research to
Elisabetta improve agricultural statistics in developing
countries
123 Clark, Cynthia Development and Acquisition of Research
Expertise and Resources
124 Young, Linda Setting a Research Agenda
Theme 4 – Core Data and Indicators
Session 4.1 – Rural and Social Statistics Core Indicators from the Wye City Group
Handbook
Chairs: Graham Eele and Carola Fabi Venue: Meera Room
12 Chandra, Hukum; Sud, U. C.; Estimation of District Level Poor Households in
Salvati, Nicola the State of Uttar Pradesh in India by Combining
NSSO Survey and Census Data
13 Pothy, Pich Agricultural Households Livelihood Activities in
Cambodia
Derived from the 2008 Cambodia Socio-Economic
Survey
88 Keita, Naman ;Pizzoli, Edoardo Agricultural and Rural Households Income
Statistics in Countries in Less-Than-Ideal
Conditions: an Insight Thinking to African
Countries
116 Eele, Graham; Hill, Berkeley; The Updated and Revised Wye Handbook and
Fabi Carola Links to Implementing the Global Strategy for
Agricultural Statistics
Session 4.2 – Environment Statistics including land and water use Core indicators, cross-
sectoral indicators, etc.
Chair: Amerigo Liotti Venue: Sheena Room
31 Narain, P. Land use classification: concepts & methods-
towards an improved information basis
35 Moss, Ole Osvald Agri-environmental reporting - a national
experience
75 Selenius, Johan Identifying the core data needed for agri-
environmental statistics: Eurostat "DireDate
project”
117 Mayo, Robert; Sessa, Reuben Challenges and solutions for data on agricultural
greenhouse gas emissions
Session 4.3 – Economic Statistics
Chairs: Jan Smit Venue: Sheena Room
20 Zhang, Mingmei Improve Data Quality of The Chinese Agriculture
Economic Accounting
42 Gbegbelegbe Sika; Gelan, Towards developing intra-regional trade indicators
Ayele; Wanjiku, Julliet; Karugia, for staple food products in EAC and COMESA
Joseph; Massawe, Stella;
Jonesmus, Wambua
87 Agarwal, Ankush; Mitra, Arup
Agriculture and its Integration with National
Accounts Statistics:
The Indian Case
92 Boone, Koen; Dolman, Mark Monitoring sustainability of Dutch agriculture
121 Havinga, Ivo Not available
Theme 5 – Survey Methodology and Survey Integration
Session 5.1 – Linking Population and Agriculture Census
Chairs: Samia Zekaria Venue:
Victoria Ballroom
72 Nhanzimo, Azarias ;Cravo, Julia Linking Population Census 2007 and Agricultural
Census 2009/2010
95 Srivastava, Mukesh;Keita, Collecting Agricultural Data from Population
Naman; Ouedraogo, Eloi; Census: Overview of FAO recommendations and
Kabore, Moussa experiences of Burkina Faso and other countries
106 Ardief, Achmad Linking Population and Agriculture Census in
Indonesia
Session 5.2 – Integrated Agricultural and Household Surveys
Chairs: Gero Carletto and Samia Zakaria Venue: Meera Room
8 Yigezu, Biratu; Zekaria, Samia Integrated Agricultural and Household surveys:
The case of Ethiopia
52 Messer, Christina S. Expanding Usability of the U.S. Census of
Agriculture: Moving from General Information to
Specific Details through Follow-on Surveys
65 Zhao, Jianhua; Zhou, Wei The Integrated Survey Framework in the
Redesign of Sample Surveys in China Agricultural
and Rural Statistics
84 Soares, Wagner Lopes; Agricultural household in the context of the
Bolliger, Flavio Pinto; Costa, household surveys and Agricultural Census: a
André Luiz Martins methodological assessment in Brazil
99 Lubulwa, Milly; Martin, Peter; Statistical integration in designing Australian farm
Shafron, Walter; Bowen, Bruce surveys
Session 5.3 – Frames for agricultural surveys, Sample design
Chairs: Naman Keita and Jacques Delince’ Venue: Meera Room
9 TARIKU ABAYE, Aberash Combining Enumeration Area Maps and Satellite
Images (land cover) for the development of Area
Frame (Multiple Frame) in an African country:
preliminary lessons from the experience of
Ethiopia
34 Pan, Yaozhong; Wang, Application of Area-frame sampling for agricultural
Minghua; Wei, Ge; Wei, statistics in China
Fenghua; Shi, Kaifen;
Li, Le; Sun, Guannan
55 Qualey, Suzette; Steiner, Sample Design Issues for Agricultural Statistics
Michael; Kvinikadze, George
Theme 6 – Governance of the Implementation Plan
Session 6.1 – National Governance Mainstreaming the Global Strategy and Agriculture
Statistics into the NSDS’s
Chairs: Christophe Duhamel and Adalbert Nshimyumuremyi Venue:
Victoria Ballroom
n.a. Ajayi Oladejo, Chinganya; Framework for mainstreaming agricultural
Nshimyumuremyi Adalbert statistics into the NSDS process
98 Castano, jairo Integration of Agriculture into the National
Strategy for the Development of Statistics (NSDS)
in Lao PDR
83 Miramontes, Ulises Integrating Agriculture into National Information
Systems: The Case of Mexico
56 Kibuuka, Edmund Formulating a country’s agricultural statistics
strategy: The South African experience
Session 6.2 – International Governance
Chairs: Pieter Everaers and Adalbert Nshimyumuremyi Venue:
Victoria Ballroom
128 Kiregyera, Ben; Global Strategy for Improving Agricultural
Ngendakumana, Vincent; statistics: Governance Arrangements for Its
Nshimyumuremyi, Adalbert Implementation in Africa
129 Everaers, Pieter; Gennari, Global Strategy: Governance Arrangements from
Pietro an International Perspective
130 Zekaria, Samia Global Strategy Governance from a Paris 21 and
Country Perspective
131 Harper, Frances Strategy implementation: a donor's perspective on
what could work