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2011 | 12 | 3 | 445-452

Article title

International Cooperation Through Official Statistics on Food Security, The Environment, Climate Change and Poverty

Content

Title variants

Languages of publication

EN

Abstracts

EN
The ongoing debate about the causes and effects of food price volatility, especially on the number of people living in poverty, is occurring at the same time there is increased concern about the effect of agriculture on the environment and global warming. Practices to increase food production have consequences on the environment and global warming. From a statistical point of view, these are issues that transcend national boundaries. International cooperation will be essential to resolve these issues; it is dependent on official statistics. This paper will describe statistical tools that could be used to describe the intertwined relationships between food price volatility, food security, poverty, the environment, and global warming. These statistical tools and outcomes need to be developed to provide results comparable across countries. The lessons learned from the well-known International Comparison Program will be applied to suggestions how to develop official statistics about the above issues to shape policy decisions across national boundaries.

Keywords

Year

Volume

12

Issue

3

Pages

445-452

Physical description

Contributors

  • The World Bank
  • The World Bank

References

  • VOGEL, FA, 2009, “Lessons Learned from ICP 2005” Report to the ICP Technical Advisory Group, the World Bank, October 2009. (www.worldbank.org/data/icp).
  • ILO/IMF/OECD/Euroatat/the World Bank, (2004), Consumer Price Index Manual, Theory and Practice, International Labor Office, Geneva.
  • BIGGERI, LUIGI and LAURETI, IIZIANA (2011), “Extrapolation of PPPs over time using CPI data: Methods and Interpretation”. Proceedings of the 58th World Congress of the International Statistical Institute, Dublin, Ireland, August 2011.
  • PANDA, S.S; AMES, D.P. and PANIGRAHI, S. (2010) “Application of Vegetation Indices for Agricultural Crop Yield Prediction using Neural Network Techniques, Remote Sensing, 2010.
  • 2010. “The Global Strategy to Improve Agricultural and Rural Statistics” Report no. 56719-BLB, The World Bank, September 2010.
  • MISHA V. BELKINDAS (2011) “Rising Demands in Era of Shrinking Budgets Proceedings of the 58th World Congress of the International Statistical Institute, Dublin, Ireland, August 2011. “Statistics for Transparency, Accountability and Results”, Draft, September 2011.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-01a263b2-84eb-4b53-9429-607da924e008
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