When the Data Source Writes the Conclusion: Evaluating Agricultural Policies

References

• Addinson, C., Boto, I., & Mofolo, L. (2015). Briefing nr. 40. Data: The next revolution for agriculture in ACP countries. Brussels: Brussels rural development briefings.
   Google Scholar
• Ali, D. A., Deininger, K., & Goldstein, M. (2014). Environmental and gender impacts of land tenure regularization in Africa: Pilot evidence from Rwanda. Journal of Development Economics, 110, 262–275. doi:10.1016/j.jdeveco.2013.12.009
   Web of Science ®Google Scholar
• Altazin, Y. (2014, March 4). Les paysan exclus du succès économique rwandais (idées). Le monde.
   Google Scholar
• André, C., & Platteau, J.-P. (1998). Land relations under unbearable stress: Rwanda caught in the Malthusian trap. Journal of Economic Behavior & Organization, 34(1), 1–47. doi:10.1016/S0167-2681(97)00045-0
   PubMed Web of Science ®Google Scholar
• Ansoms, A. (2008). Striving for growth, bypassing the poor? A critical review of Rwanda’s rural sector policies. The Journal of Modern African Studies, 46, 1–32. doi:10.1017/S0022278X07003059
   Web of Science ®Google Scholar
• Ansoms, A. (2010). Views from below on the pro-poor growth challenge: The case of rural Rwanda. African Studies Review, 53(2), 97–123. doi:10.1353/arw.2010.0037
   PubMed Web of Science ®Google Scholar
• Ansoms, A., & Hilhorst, T. (2014). Losing your land: Dispossession in the Great Lakes. Suffolk: James Currey.
   Google Scholar
• Ansoms, A., & Rostagno, D. (2012). Rwanda’s Vision 2020 halfway through: What the eye does not see. Review of African Political Economy, 39, 427–450. doi:10.1080/03056244.2012.710836
   Web of Science ®Google Scholar
• Beegle, K., Carletto, C., & Himelein, K. (2012a). Reliability of recall in agricultural data. Journal of Development Economics, 98(1), 34–41. doi:10.1016/j.jdeveco.2011.09.005
   Web of Science ®Google Scholar
• Beegle, K., De Weerdt, J., Friedman, J., & Gibson, J. (2012b). Methods of household consumption measurement through surveys: Experimental results from Tanzania. Journal of Development Economics, 98(1), 3–18. doi:10.1016/j.jdeveco.2011.11.001
   Web of Science ®Google Scholar
• Carletto, C., Jolliffe, D., & Banerjee, R. (2013). The emperor has no data! Agricultural statistics in Sub-Saharan Africa. Washington, DC: World Bank.
   Google Scholar
• Carletto, C., Jolliffe, D., & Banerjee, R. (2015). From tragedy to renaissance: Improving agricultural data for better policies. The Journal of Development Studies, 51(2), 133–148. doi:10.1080/00220388.2014.968140
   Web of Science ®Google Scholar
• Chen, S., Fonteneau, F., Jütting, J., & Klasen, S. (2013). Towards a post 2015 framework that counts: Aligning global monitoring demand with national statistical capacity development ( PARIS21 Discussion Paper Series). Paris: PARIS 21.
   Google Scholar
• Datt, G., & Ravallion, M. (1998). Farm productivity and rural poverty in India. The Journal of Development Studies, 34(4), 62–85. doi:10.1080/00220389808422529
   Web of Science ®Google Scholar
• Deininger, K., Carletto, C., Savastano, S., & Muwonge, J. (2012). Can diaries help in improving agricultural production statistics? Evidence from Uganda. Journal of Development Economics, 98(1), 42–50. doi:10.1016/j.jdeveco.2011.05.007
   Web of Science ®Google Scholar
• Desiere, S., Vellema, W., & D’Haese, M. (2015). A validity assessment of the Progress out of Poverty Index (PPI)™. Evaluation and Program Planning, 49, 10–18. doi:10.1016/j.evalprogplan.2014.11.002
   PubMed Web of Science ®Google Scholar
• Desrosières, A. (2002/1993). The politics of large numbers: A history of statistical reasoning. Cambridge, MA: Harvard University Press.
   Google Scholar
• Devarajan, S. (2013). Africa’s statistical tragedy. Review of Income and Wealth, 59, S9–S15. doi:10.1111/roiw.2013.59.issue-s1
   Web of Science ®Google Scholar
• Druilhe, Z., & Barreiro-Hurlé, J. (2012). Fertilizer subsidies in Sub-Saharan Africa ( ESA Working Paper). Rome: FAO.
   Google Scholar
• FAO. (2006). Independent external evaluation of the FAO: Inception report submitted to the Council Committee for the Independent External Evaluation (CC-IEE) by the Independent External Evaluation Core Team. Rome: Author.
   Google Scholar
• FAO. (2012). Action plan of the global strategy to improve agricultural and rural statistics. Rome: Author.
   Google Scholar
• FAO. (2014). Reference manual: An insight into CountrySTAT- food and agriculture data network. Rome: Author.
   Google Scholar
• Fermont, A., & Benson, T. (2011). Estimating yield of food crops grown by smallholder farmers. Washington, DC: International Food Policy Research Institute.
   Google Scholar
• GoR. (2000). Vision 2020. Kigali: Ministry of Finance and Economic Planning.
   Google Scholar
• GoR. (2005). Organic law determining the use and management of land in Rwanda (N° 08/2005 of 14/07/2005). Kigali: Official Gazette of the Republic of Rwanda.
   Google Scholar
• GoR. (2006). Preliminary Poverty Update Report: Integrated living conditions survey 2005/06. Kigali: National Institute of Statistics of Rwanda.
   Google Scholar
• GoR. (2009). Strategic Plan for the Transformation of Agriculture in Rwanda – Phase II (PSTA II) Final report. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• GoR. (2010). National Agricultural Survey 2008 (NAS 2008). Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• GoR. (2012a). EICV 3: Thematic report Agriculture. Kigali: National Institute of Statistics of Rwanda.
   Google Scholar
• GoR. (2012b). The evolution of poverty in Rwanda from 2000 to 2011: Results from the household surveys (EICV). Kigali: National Institute of Statistics of Rwanda.
   Google Scholar
• GoR. (2012c). Farm land use consolidation in Rwanda: Assessment from the perspective of agriculture sector. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• GoR. (2012d). The third integrated household living conditions survey (EICV3). Kigali: National Institute of Statistics of Rwanda.
   Google Scholar
• GoR. (2013). Seasonal agricultural survey report 2013. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• GoR. (2014). National fertilizer policy. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• GoR. (2015a). Crop Intensification Program (CIP). Kigali: Ministry of Agriculture and Animal Resources (MINAGRI). Retrieved from http://www.minagri.gov.rw/index.php?id=618
   Google Scholar
• GoR. (2015b). Privatized fertilizer importation and distribution system in Rwanda: Contribution to boosting productivity. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• IMF. (2013a). Regional economic outlook: Sub-Saharan Africa keeping the pace. Washington, DC: Author.
   Google Scholar
• IMF. (2013b). World economic outlook: Rwanda economic overview. Washington, DC: Author.
   Google Scholar
• Ingelaere, B. (2010). Peasants, power and ethnicity: A bottom-up perspective on Rwanda’s political transition. African Affairs, 109, 273–292. doi:10.1093/afraf/adp090
   Web of Science ®Google Scholar
• Irz, X., Lin, L., Thirtle, C., & Wiggins, S. (2001). Agricultural productivity growth and poverty alleviation. Development Policy Review, 19, 449–466. doi:10.1111/dpr.2001.19.issue-4
   Google Scholar
• Jerven, M. (2013). Poor numbers: How we are misled by African development statistics and what to do about it. Ithaca, NY: Cornell University Press.
   Google Scholar
• Jerven, M. (2014a). Measuring African development: Past and present. Introduction to the Special Issue. Canadian Journal of Development Studies/Revue canadienne d’études du développement, 35, 1–8. doi:10.1080/02255189.2014.876617
   Web of Science ®Google Scholar
• Jerven, M. (2014b). The political economy of agricultural statistics and input subsidies: Evidence from India, Nigeria and Malawi. Journal of Agrarian Change, 14, 129–145. doi:10.1111/joac.2014.14.issue-1
   Web of Science ®Google Scholar
• Jerven, M., & Johnston, D. (2015). Statistical tragedy in Africa? Evaluating the data base for African Economic Development. The Journal of Development Studies, 51, 111–115. doi:10.1080/00220388.2014.968141
   Web of Science ®Google Scholar
• Kalibata, A., & Roy, A. (2015, February 19). The fertile roots of Rwanda’s green revolution (opinion). The Guardian Online. Retrieved from http://www.theguardian.com/global-development/2015/feb/19/rwanda-africa-green-revolution-fertiliser-mdgs
   Google Scholar
• Kuhn, T. S. (1961). The function of measurement in modern physical science. Isis, 52, 161–193. doi:10.1086/349468
   Web of Science ®Google Scholar
• Marysse, S., Ansoms, A., & Cassimon, D. (2007). The aid ‘darlings’ and ‘orphans’ of the Great Lakes region in Africa. The European Journal of Development Research, 19, 433–458. doi:10.1080/09578810701504453
   Google Scholar
• Mensink, J. (2012). Poverty measures: From production to use. London: London School of Economics and Political Science.
   Google Scholar
• Monitor Group. (2013). The business case for investing in the import and distribution of fertilizer in Rwanda. Kigali: Ministry of Agriculture and Animal Resources.
   Google Scholar
• Morgan, M. S. (2001). Making measuring instruments. History of Political Economy, 33(Suppl 1), 235–251. doi:10.1215/00182702-33-Suppl_1-235
   Web of Science ®Google Scholar
• Mosley, P. (1992). Policy-making without facts: A note on the assessment of structural adjustment policies in Nigeria, 1985–1990. African Affairs, 91, 227–240.
   Web of Science ®Google Scholar
• Pottier, J. (2006). Land reform for peace? Rwanda’s 2005 land law in context. Journal of Agrarian Change, 6, 509–537. doi:10.1111/joac.2006.6.issue-4
   Web of Science ®Google Scholar
• Pritchard, M. F. (2013). Land, power and peace: Tenure formalization, agricultural reform, and livelihood insecurity in rural Rwanda. Land Use Policy, 30(1), 186–196. doi:10.1016/j.landusepol.2012.03.012
   Web of Science ®Google Scholar
• Przeworski, A., & Teune, H. (1966). Equivalence in cross-national research. Public Opinion Quarterly, 30, 551–568. doi:10.1086/267455
   Web of Science ®Google Scholar
• Rask, K., & Rask, N. (2014). Measuring food consumption and production according to resource intensity: The methodology behind the cereal equivalent approach. Worcester, MA: College of the Holy Cross.
   Google Scholar
• Reiss, J. (2013). Philosophy of economics: A contemporary introduction. London: Routledge.
   Google Scholar
• Reyntjens, F. (2004). Rwanda, ten years on: From genocide to dictatorship. African Affairs, 103, 177–210. doi:10.1093/afraf/adh045
   Web of Science ®Google Scholar
• Sandefur, J., & Glassman, A. (2015). The political economy of bad data: Evidence from African Survey and administrative statistics. The Journal of Development Studies, 51, 116–132. doi:10.1080/00220388.2014.968138
   Web of Science ®Google Scholar
• Smith, L. C. (1998). Can FAO’s measure of chronic undernourishment be strengthened? Food Policy, 23(5), 425–445. doi:10.1016/S0306-9192(98)00049-9
   Web of Science ®Google Scholar
• Thirtle, C., Lin, L., & Piesse, J. (2003). The impact of research-led agricultural productivity growth on poverty reduction in Africa, Asia and Latin America. World Development, 31(12), 1959–1975. doi:10.1016/j.worlddev.2003.07.001
   Web of Science ®Google Scholar
• Van Damme, J., Ansoms, A., & Baret, P. V. (2014). Agricultural innovation from above and from below: Confrontation and integration on Rwanda’s Hills. African Affairs, 113, 108–127. doi:10.1093/afraf/adt067
   Web of Science ®Google Scholar
• Vandercasteelen, J., Dereje, M., Minten, B., & Taffesse, A. S., 2013. Scaling-up adoption of improved technologies: The impact of the promotion of row planting on farmers’ teff yields in Ethiopia ( LICOS Discussion Paper Series No. 344). Leuven: KU Leuven.
   Google Scholar
• Versailles, B. (2012). Country learning notes: Rwanda: Performance contract (imihigo). London: Overseas Development Institute (ODI).
   Google Scholar
• Verwimp, P. (2013). Peasants in power: The political economy of development and genocide in Rwanda. Dordrecht: Springer.
   Google Scholar
• Whitfield, S. (2012). Evidence-based agricultural policy in Africa: Critical reflection on an emergent discourse. Outlook on Agriculture, 41, 249–256. doi:10.5367/oa.2012.0101
   Web of Science ®Google Scholar
• Woods, D. (2014). The use, abuse and omertà on the “noise” in the data: African democratisation, development and growth. Canadian Journal of Development Studies/Revue canadienne d’études du développement, 35, 120–135. doi:10.1080/02255189.2014.873021
   Web of Science ®Google Scholar
• World Bank. (2013). Rwanda economic update: Maintaining momentum with a special focus on Rwanda’s pathway out of poverty. Kigali: Author.
   Google Scholar
• World Bank, United Nations and Food and Agricultural Organization. (2010). Global strategy to improve agricultural and rural statistics. Washington, DC: Author.
   Google Scholar