A model of West African millet prices in rural markets

Food Policy

Volumn 52, Issue , 2015, Pages 33-43

  Higgins, Nathaniel ^a   Hintermann, Beat ^b   Brown, Molly E ^c  

^a ECONOMIC RESEARCH SERVICE   (United States)

^b UNIVERSITY OF BASEL   (Switzerland)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Cereal; Millet; NDVI; Price forecasting; Regional panel data; Remote sensing; West Africa

Indexed keywords

AGRICULTURAL MARKET; AGRICULTURAL PRODUCTION; CONSUMPTION BEHAVIOR; FOOD MARKET; MILLET; NDVI; PANEL DATA; PRICE DYNAMICS; RURAL AREA;

BURKINA FASO; MALI; NIGER [WEST AFRICA];

EID: 84925356911     PISSN: 03069192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodpol.2014.09.011     Document Type: Article

References (58)

1. Abdulai A., CroleRees A. Determinants of income diversification amongst rural households in Southern Mali. Food Policy 2001, 26:437-452.
2. Allen T. From 'informal sectors' to 'real economies': changing conception of Africa's hidden livelihoods. Contemp. Polit. 1998, 4:357-373.
3. Baker R.D. Millet Production, Guide A-414 2003, New Mexico State University, College of Agriculture and Home Economics, Las Cruces, NM.
4. Barrett C.B., Maxwell D.G. Food Aid after Fifty Years: Recasting its Role 2005, Routledge, New York.
5. Basnyat P., McConkey B., Lafond G.R., Moulin A., Pelcat Y. Optimal time for remote sensing to relate to crop grain yield on the Canadian Prairies. Can. J. Plant Sci. 2004, 84:311-326.
6. Beekhuis G., Laouali I. Cross-border Trade and Food Markets in Niger: Why Market Analysis is Important for Humanitarian Action, Humanitarian Exchange Magazine 2007, Humanitarian Practice Network at the Overseas Development Institute (ODI), London.
7. Breman H. West Africa's Subsistence Farming 2003, Food and Agriculture Organization, Rome, p. 16.
8. Brown M.E. Famine Early Warning Systems and Remote Sensing Data 2008, Springer Verlag, Heidelberg.
9. Brown M.E., Brickley E.B. Evaluating the use of remote sensing data in the USAID famine early warning systems network. J. Appl. Remote Sens. 2012, 6:063511.
10. Brown M.E., Pinzon J.E., Prince S.D. The sensitivity of millet prices to vegetation dynamics in the informal markets of Mali, Burkina Faso and Niger. Clim. Change 2006, 78:181-202.
11. Brown M.E., Hintermann B., Higgins N. Markets, climate change and food security in West Africa. Environ. Sci. Technol. 2009, 43:8016-8020.
12. Brown M.E., Hintermann B., Higgins N. Markets, climate change, and food security in West Africa. Environ. Sci. Technol. 2009, 43(21):8016-8020.
13. Bryceson D.F. The scramble in Africa: reorienting rural livelihoods. World Dev. 2002, 30:725-739.
14. Buchanan-Smith M., Davies S.M. Famine Early Warning and Response 1995, IT Press.
15. Cekan J. Seasonal coping strategies in Central Mali: five villages during the 'Soudure'. Disasters 1992, 16:66-73.
16. Choi I. Unit root tests for panel data. J. Int. Money Finance 2001, 20:249-272.
17. Chopak C. Price Analysis for Early Warning Monitoring and Reporting 1999, FEWS, Harare, Zimbabwe, p. 78.
18. Cornia G.A., Deotti L., Sassi M. Food price volatility over the last decade in Niger and Malawi: Extent, Sources and Impact on Child Malnutrition 2012, United Nations Development Programme, Rome, Italy.
19. Dembele N.N., Staatz J. The response of cereal traders to agricultural market reform in Mali 1999, Michigan State University, East Lansing, MI, p. 18.
20. Dorosh, P.A., Subran, L., 2009. Food aid, external trade and domestic markets: implications for food security in Darfur. Contributed paper for presentation at the International Association of Agricultural Economists Conference, Beijing.
21. FAIS, 2014. World Food Aid Flows. UN World Food Program.
22. Food and Agriculture Organization and the Organisation for Economic Co-operation and Development, 2011. Price Volatility in Food and Agricultural Markets: Policy Responses. Policy Report, including contributions by FAO, IFAD, IMF, OECD, UNCTAD, WFP, the World Bank, the WTO, IFPRI, and the UN HLTF.
23. Fuller D.O. Trends in NDVI time series and their relation to rangeland and crop production in Senegal, 1987-1993. Int. J. Remote Sens. 1998, 19:2013-2018.
24. Funk C.C., Brown M.E. Intra-seasonal NDVI change projections in semi-arid Africa. Remote Sens. Environ. 2006, 101:249-256.
25. Godfrey L.G., Wickens M.R. Testing linear and log-linear regressions for functional form. Review of Economic Studies XLVIII 1981, 487-496.
26. Holben B. Characteristics of maximum-value composite images from temporal AVHRR data. Int. J. Remote Sens. 1986, 7:1417-1434.
27. Husak, G. J., Williams, A. P., Funk, C., 2008. Forecasting Food Production for Zimbabwe. American Geophysical Union, Fall Meeting 2008, abstract #B21C-0382.
28. IMF West African Economic and Monetary Union (WAEMU): Staff Report on Common Policies for Member Countries, IMF Country Report No 13/92 2013, International Monetary Fund, Washington DC, p. 106.
29. Jiang D., Yang X., Clinton N., Wang N. An artificial neural network model for estimating crop yields using remotely sensed information. Int. J. Remote Sens. 2004, 25:1723-1732.
30. Jones, M., Alexander, C., Lowenberg-DeBoer, J., 2011. Profitability of Hermetic Purdue Improved Crop Storage (PICS) Bags for African Common Bean Producers. Working Paper #11-6, Dept. of Agricultural Economics, Purdue University.
31. Justice C.O., Dugdale G., Townshend J.R.G., Narracott A.S., Kumar M. Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa. Int. J. Remote Sens. 1991, 12:1349-1368.
32. Kelly V., Dembele N.N., Staatz J. Potential Food Security Impacts of Rising Commodity Prices in the Sahel: 2008-2009. Famine Early Warning Systems Network (FEWS NET) 2008, USAID and Michigan State University, p. 50.
33. Kastensa J.H., Kastens T.L., Kastens D.L.A., Price K.P., Martinko E.A., Lee R.Y. Image masking for crop yield forecasting using AVHRR NDVI time series imagery. Remote Sens. Environ. 2005, 99:341-356.
34. Maddala G.S., Wu S. A comparative study of unit root tests with panel data and a new simple test. Oxford Bull. Econ. Stat. 1999, 61:631-652.
35. Maselli F., Conese C., Petkov L., Gilabert M.A. Environmental Monitoring and Crop Forecasting in the Sahel through the use of NOAA NDVI data. A case study: Niger 1986-1989. Int. J. Remote Sens. 1993, 14:3471-3487.
36. Maselli F., Romanelli L., Bottai L., Maracchi G. Processing of GAC NDVI data for yield forecasting in the Sahelian region. Int. J. Remote Sens. 2000, 21:3509-3523.
37. May C.A. Update Report to USAID/N'Djamena on the Market Information System (SIM) in Chad 1991, FEWS, Washington, p. 86.
38. Monfreda C., Ramankutty N., Foley J.A. Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochem. Cy. 2008, 22. GB1022.
39. Nicholson S.E. On the use of the Normalized Difference Vegetative Index as an indicator of rainfall. Global Precipitations and Climate Change 1994, 293-305. NATO ASI Series, Berlin. M. Desbois, F. Desalmand (Eds.).
40. Prince S.D. Satellite remote sensing of primary production: comparison of results for Sahelian Grasslands. Int. J. Remote Sens. 1991, 12:1301-1311.
41. Rasmussen M.S. Assessment of millet yields and production in northern Burkina Faso using integrated NDVI from the AVHRR. Int. J. Remote Sens. 1992, 13:3431-3442.
42. Rasmussen M.S. Operational yield forecast using AVHRR NDVI data: reduction of environmental and inter-annual variability. Int. J. Remote Sens. 1997, 18:1059-1077.
43. Rasmussen M.S. Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information: Part I. Assessment of net primary production. Int. J. Remote Sens. 1998, 19:97-117.
44. Rasmussen M.S. Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information. Part I: Assessment of net primary production. Int. J. Remote Sens. 1998, 19:97-119.
45. Reynolds C.A., Yitayew M., Slack D.C., Hutchinson J.M., Huete A., Petersen M.S. Estimating crop yields and production by integrating the FAO Crop Specific Water Balance model with real-time satellite data and ground-based ancillary data. Int. J. Remote Sens. 2000, 21:3487-3508.
46. Sargan J.D. Wages and prices in the United Kingdom. Econometric Analysis for National Economic Planning 1964, 320. Butterworths, London. P.E. Hart, G. Mills, J.K. Whitaker (Eds.).
47. Shepherd A.W. Grain storage in Africa: Learning from past experiences. Food Chain 2012, 2:149-163.
48. Swinnen J. The right price of food. Development Policy Review 2011, 29(6):667-688.
49. Taylor J.E., Lambin E.F., Stephenne N., Harding R.J., Essery R.L.H. The influence of land use change on climate in the Sahel. J. Clim. 2002, 15:3615-3629.
50. Terpend N. An Assessment of Knowledge About Trade and Markets Related to Food Security in West Africa 2006, United Nations World Food Program Rome, Italy.
51. Townshend J.R.G. Global data sets for land applications from the advanced very high resolution radiometer: an introduction. Int. J. Remote Sens. 1994, 15:3319-3332.
52. Tucker C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8:127-150.
53. Tucker C.J., Holben B.N., Elgin J.H., McMurtrey Remote sensing of total dry matter accumulation in winter wheat. Remote Sens. Environ. 1981, 11:171.
54. Tucker C.J., Vanpraet C.L., Sharman M.J., van Ittersum G. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sens. Environ. 1985, 17:233-249.
55. Tucker C.J., Pinzon J.E., Brown M.E., Slayback D., Pak E.W., Mahoney R., Vermote E., El Saleous N. An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. Int. J. Remote Sens. 2005, 26:4485-4498.
56. Verdin J., Funk C., Senay G., Choularton R. Climate science and famine early warning. Philos. Trans. Royal Soc. B: Biol. Sci. 2005, 360:2155-2168.
57. WorldBank Doing Business 2014 Regional Profile: Sub-Saharan Africa (SSA), Understanding Smarter Regulations for Small and Medium-Size Enterprises 2014, The World Bank, Washington DC.
58. Yu, B., You, L., Fan, S., 2009. A typology of food security in developing countries under high food prices. Contributed paper for presentation at the International Association of Agricultural Economists Conference, Beijing.