DIME Impact Evaluation Workshop. Innovations for Agriculture June 2014, Kigali, Rwanda
|
|
- Adam Park
- 5 years ago
- Views:
Transcription
1 DIME Impact Evaluation Workshop Innovations for Agriculture June 2014, Kigali, Rwanda
2 Impact Evaluation Workshop Innovations for Agriculture Learn from Surveys Data Collection Experiments Florence Kondylis Siyao Jessica Zhu (DIME) June 2014 Kigali, Rwanda
3 Overall Motivation What are the tradeoffs in measuring agricultural outcomes? Lessons from 3 impact evaluation data collections Measuring the diffusion of a technology knowledge and adoption Measuring farming input and labor usage Plot by plot / input by input vs. Aggregate measures
4 Measuring technology diffusion Project: Mozambique Market Led Smallholder Development in the Zambezi Valley Impact Evaluation (Kondylis, Mueller, Zhu, 2014) 4,000 HHs sampled in remote central Mozambique Compare three measures of knowledge Know by memory Know by name Knowledge score Compare measures of adoption self-reported objective
5 Knowledge Know by memory vs. knowledge score Farmers understate actual knowledge Know by name vs. knowledge score Farmers understate actual knowledge These differences varies widely by techniques 50-90% of correct reporting Cost Benefit of knowledge score Additional 50 cents on each survey percent increase in correct answers Up to one third of the magnitude of your effect LOST to measurement!!! Worth administering a knowledge score!
6 Adoption Self-reported vs. Observed adoption Farmers overstate their adoption About 80% of correct reporting This difference varies by technique Cost benefit additional $6 on each survey 7-27 percent increase in correct answers, depending on the technique May be cheaper to sub-sample
7 Results: False Reporting
8 Results: Cost-Effective Analysis Cost Effectiveness of the Inclusion of the SLM Knowledge Exam and Measuring SLM Objective Adoption (2012 USD)
9 Correlates of misreports Knowledge Adoption # of plots + + If many plots then get objective Interview duration + 0 Respondent fatigue Trained - + Social desirability bias
10 Measuring Input Use 2 IEs [Jones, Kondylis, Mobarak, Stein, Zhu, ongoing] Rwanda Land Husbandry, Water Harvesting and Hillside Irrigation (LWH) Project Sample size: 2802 households. each household has few plots, average: 1 plot/hh. Bangladesh Integrated Agricultural Productivity (IAPP) Project Sample size: 4820 households. each household has a lot of plots, average: 7 plots/hh.
11 Randomized survey design Questions at household level vs. plot level: Did the household apply composting in Season A 2013? Did the household apply composting on Plot 1,2,3 in Season A 2013? Questions that aggregate/not prompted vs. breakdown/prompted key words: Which inputs did you apply to this plot? Did you apply composting to this plot? (repeat for each input)
12 Quiz Right or Wrong? Asking questions plot by plot always increases the length of a survey WRONG!
13 Interview Time Interview time: no statistically measurable difference. in minutes By Aggregate By Plot All plots sample HH with 1 plot sample HH with more than 1 plot sample Male sample Female sample
14 Quiz Right or Wrong? Asking questions plot by plot always changes the mean of the outcome WRONG!
15 it depends!
16 it depends!
17 it depends!
18 Quiz Right or Wrong? The way inputs are recorded will likely affect the sample size required to detect an impact RIGHT!
19 Example: Rwanda (labor), Bangladesh (all inputs) Finding: Different ways of collecting input data significantly affects the variance of outcomes Implication: To detect the same effect size (all else being equal) the required sample size may be very different when collecting input use by plot / by input Example: Labor use, H: power=0.8, alpha=0.05, MDES 10% Aggregate measure: N>=377 By Plot: N>=1150
20 When designing your survey When choosing N using secondary data, check the survey design! You may end up really under/over powered! You may not detect the effect size you bargained for, even if the outcome is realized OR You may overspend on your data collection
21 Overall Conclusion There are clear cost/precision tradeoffs in collecting agricultural data More intensive ways of collecting data may be too costly (e.g. adoption in the field) inexpensive enough to be worthwhile (e.g. knowledge scores, plot by plot / input by input records) There is some interaction between the way you measure and the sample you need Be mindful! Re-run your power calculations at baseline to make decisions on your follow-up sample
22 In case you are still here with me
23 Rwanda DS: Inputs Mean Farming Inputs Aggregate By Plot Difference Mean Mean of Mean Dummy Variables Applied compost ** Applied manure Applied fertilizer Applied lime Applied pesticides Applied any farming inputs Continuous Variables (winsorized at high 1%) Total amount of compost purchased (kg) Total amount of manure purchased (kg) Total amount of fertilizer purchased (kg) * Total amount of lime purchased (kg) Total amount of pesticides purchased (kg) Total amount farming inputs purchased (kg) Total amount spent on compost (RWF) ** Total amount spent on manure (RWF) *** Total amount spent on fertilizer (RWF) Total amount spent on lime (RWF) Total amount spent on pesticides (RWF) Total amount spent on farming inputs (RWF) ***
24 Rwanda DS: Labor Mean Labor Inputs Aggregate By Plot Difference Mean Mean of Mean Dummy Variables HH hired labor to assist proudcing compst HH hired labor to assist preparing fields HH hired labor to assist planting HH hired labor to assist applying inputs HH hired labor to assist weeding HH hired labor to assist irrigating HH hired labor to assist harvesting HH hired labor to assist processing crops HH hired labor to assist farming Continuous Variables (winsorized at high 1%) Total number of labor days HH spent on proudcing compst *** Total number of labor days HH spent on preparing fields *** Total number of labor days HH spent on planting *** Total number of labor days HH spent on applying inputs *** Total number of labor days HH spent on weeding *** Total number of labor days HH spent on irrigating *** Total number of labor days HH spent on harvesting *** Total number of labor days HH spent on processing crops *** Total number of labor days HH spent on farming ***
25 Rwanda DS: Inputs Variance Farming Inputs Aggregate Plot Level Levene s test (winsorized at high 1%) Std. Deviation Std. Deviation P-value Total amount of compost purchased (kg) Total amount of manure purchased (kg) Total amount of fertilizer purchased (kg) Total amount of lime purchased (kg) Total amount of pesticides purchased (kg) Total amount farming inputs purchased (kg) Total amount spent on compost (RWF) Total amount spent on manure (RWF) Total amount spent on fertilizer (RWF) Total amount spent on pesticides (RWF) Total amount spent on farming inputs (RWF)
26 Rwanda DS: Labor Variance Labor Inputs Aggregate Plot Level Levene s test (winsorized at high 1%) Std. Deviation Std. Deviation P-value Total number of labor days HH spent on proudcing compst Total number of labor days HH spent on preparing fields Total number of labor days HH spent on planting Total number of labor days HH spent on applying inputs Total number of labor days HH spent on weeding Total number of labor days HH spent on irrigating Total number of labor days HH spent on harvesting Total number of labor days HH spent on processing crops Total number of labor days HH spent on any other task Total number of labor days HH spent on farming
27 Rwanda MDES: Inputs Farming Inputs (winsorized at high 1%) Aggregate Plot Level (power=0.8, alpha=0.05) N N Total amount of compost purchased (kg) Total amount of manure purchased (kg) Total amount of fertilizer purchased (kg) Total amount of lime purchased (kg) Total amount of pesticides purchased (kg) Total amount farming inputs purchased (kg) Total amount spent on compost (RWF) Total amount spent on manure (RWF) Total amount spent on fertilizer (RWF) Total amount spent on pesticides (RWF) Total amount spent on farming inputs (RWF)
28 Rwanda MDES: Labor Labor Inputs (winsorized at high 1%) Aggregate Plot Level (power=0.8, alpha=0.05) N N Total number of labor days HH spent on producing compost Total number of labor days HH spent on preparing fields Total number of labor days HH spent on planting Total number of labor days HH spent on applying inputs Total number of labor days HH spent on weeding Total number of labor days HH spent on irrigating Total number of labor days HH spent on harvesting Total number of labor days HH spent on processing crops Total number of labor days HH spent on any other task Total number of labor days HH spent on farming
29 Rwanda Distribution: Inputs Farming Inputs Combined K-S P-Value Applied compost Applied manure Applied fertilizer Applied lime Applied pesticides Applied any farming inputs Total amount of compost purchased (kg) Total amount of manure purchased (kg) Total amount of fertilizer purchased (kg) Total amount of lime purchased (kg) Total amount of pesticides purchased (kg) Total amount of farming inputs (RWF) Total amount spent on compost (RWF) Total amount spent on manure (RWF) Total amount spent on fertilizer (RWF) Total amount spent on lime purchased (RWF) Total amount spent on pesticides purchased (RWF) Total amount spent on farming inputs purchased (RWF)
30 Rwanda Distribution: Labor Labor Inputs Combined K-S P-Value HH hired labor to assist producing compost HH hired labor to assist preparing fields HH hired labor to assist planting HH hired labor to assist applying inputs HH hired labor to assist weeding HH hired labor to assist irrigating HH hired labor to assist harvesting HH hired labor to assist processing crops HH hired labor to assist any other task HH hired labor to assist farming Total number of labor days HH spent on producing compost Total number of labor days HH spent on preparing fields Total number of labor days HH spent on planting Total number of labor days HH spent on applying inputs Total number of labor days HH spent on weeding Total number of labor days HH spent on irrigating Total number of labor days HH spent on harvesting Total number of labor days HH spent on processing crops Total number of labor days HH spent on any other task Total number of labor days HH spent on farming
31 DIME Impact Evaluation Workshop Innovations for Agriculture June 2014, Kigali, Rwanda
Dan Stein, DIME. Baselines in Action: DIME-GAFSP Baseline Results from Rwanda, Bangladesh, and Mongolia
Dan Stein, DIME Baselines in Action: DIME-GAFSP Baseline Results from Rwanda, Bangladesh, and Mongolia DIME-GAFSP Collaboration DIME-GAFSP collaboration: Rwanda, Bangladesh, Mongolia, Nepal, Haiti, and
More informationBoosting Coffee Yields Through Activity Based Learning
Boosting Coffee Yields Through Activity Based Learning Carole Hemmings EAFCA C Hemmings, TNS 17 th February 2012 CONTENTS Introduction Results from the field Training methodology Lessons learned 2 3 IN
More informationReducing the carbon footprint of coffee production through improved fertilizer management. Katharina Plassmann
Reducing the carbon footprint of coffee production through improved fertilizer management Katharina Plassmann Product carbon footprinting product carbon footprinting is a tool for estimating and reducing
More informationOvercoming barriers to agricultural productivity for smallholder farmers
Overcoming barriers to agricultural productivity for smallholder farmers Temina Madon, PhD University of California, Berkeley Center for Effective Global Action what drives productivity? labor technology
More informationJacob Ricker-Gilbert Ϯ, Charles Jumbe, Joseph Kanyamuka, Jordan Chamberlin, Rodney Lunduka, and Stevier Kaiyatsa
Do Farm Land Rental Markets Really Promote Efficiency, Equity and Investment in Smallholder African Agriculture? Evidence from a Matched Tenant-Landlord Survey in Malawi. Jacob Ricker-Gilbert Ϯ, Charles
More informationAre contract farming schemes a solution to improving maize productivity and profitability?
Are contract farming schemes a solution to improving maize productivity and profitability? Catherine Ragasa, Isabel Lambrecht, Doreen Kufoalor Research Fellow, International Food Policy Research Institute
More informationFormalizing Rural Land Rights in West Africa: Results from a Randomized Impact Evaluation in Benin
Annual World Bank Conference on Land and Poverty, April 26, 2012, Washington DC Formalizing Rural Land Rights in West Africa: Results from a Randomized Impact Evaluation in Benin Harris Selod (presenter)
More informationEvaluating & Learning in Haiti: Household Impacts of SRI
Evaluating & Learning in Haiti: Household Impacts of SRI JEAN CLAUDE O FIGNOLE, ALIX PERCINTHE, SARAH BELFORT, BARRY SHELLEY, OXFAM AMERICA ABBIE TURIANSKY AND TRAVIS LYBBERT, UC-DAVIS OXFAM BROWNBAG 22
More informationChapter VII: Economics of sweet sorghum feedstock production for bioethanol
Chapter VII: Economics of sweet sorghum feedstock production for bioethanol A Ashok Kumar and Belum VS Reddy I. Introduction Sweet sorghum is similar to grain sorghum but possesses sugar-rich stalks, with
More informationESTIMATING GENDER DIFFERENCES IN AGRICULTURAL PRODUCTIVITY: BIASES DUE TO OMISSION OF GENDER-INFLUENCED VARIABLES AND ENDOGENEITY OF REGRESSORS
ESTIMATING GENDER DIFFERENCES IN AGRICULTURAL PRODUCTIVITY: BIASES DUE TO OMISSION OF GENDER-INFLUENCED VARIABLES AND ENDOGENEITY OF REGRESSORS by Nina Lilja, Thomas F. Randolph and Abrahmane Diallo* Selected
More informationDIME Impact Evaluation Workshop
DIME Impact Evaluation Workshop DIME Impact Evaluation Workshop Innovations for Agriculture Innovations for Agriculture 16-20 June 2014, Kigali, Rwanda 16-20 June 2014, Kigali, Rwanda Impact Evaluation
More informationInnovations for Agriculture
DIME Impact Evaluation Workshop Innovations for Agriculture 16-20 June 2014, Kigali, Rwanda Impact Evaluation Workshop Innovations for Agriculture Managing Risk with Rainfall Insurance Daniel Stein Economist
More informationBASELINE SURVEY. Stakeholder AWARENESS of and INTEREST in using GRAFTING and GREENHOUSES (Low/High Tunnels) in Tomato Production
BASELINE SURVEY Stakeholder AWARENESS of and INTEREST in using GRAFTING and GREENHOUSES (Low/High Tunnels) in Tomato Production KARI-The OSU as supported by USAID HORT-CRSP, March-May 2011 (contacts: Dr.
More informationEvidence in Agriculture: Credit for Smallholders. Becca Toole, Policy Associate, J-PAL Global / ATAI June 22, 2017
Evidence in Agriculture: Credit for Smallholders Becca Toole, Policy Associate, J-PAL Global / ATAI June 22, 2017 Overview Introduction to ATAI/J-PAL Smallholder credit constraints on agricultural technology
More informationImpact Evaluation of TechnoServe s Rwanda Coffee Agronomy Program & the Monitoring Effect
Presentation to 3 rd African Coffee Sustainability Forum Impact Evaluation of TechnoServe s Rwanda Coffee Agronomy Program & the Monitoring Effect February 13, 2013 Agenda 1. Background & Study Objectives
More informationOn farm evaluation of a screwhead emitter based low cost drip irrigation system
Innovative Agriculture Research Initiative (iagri) Collaborative Research Workshop April 28 29, 2016 On farm evaluation of a screwhead emitter based low cost drip irrigation system Jackson N. Masakia,
More informationEvidence in Agriculture: Extension and Information Delivery. Kyle Murphy Policy Manager, J-PAL April 6 th, 2017
Evidence in Agriculture: Extension and Information Delivery Kyle Murphy Policy Manager, J-PAL April 6 th, 2017 Overview Background on J-PAL Agriculture Sector and ATAI Our approach Evaluations on Extension
More informationMeasuring Agricultural Knowledge and Adoption
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Policy Research Working Paper 7058 Measuring Agricultural Knowledge and Adoption Florence
More informationPractical Sampling for Impact Evaluations
L.Chioda (adopted by DIME, LCRCE) Practical Sampling for Impact Evaluations innovations & solutions in infrastructure, agriculture & environment April 23-27, 2012, Naivasha, Kenya Introduction Now that
More information2018 ARMS Phase 2 Home Study Quiz
2018 ARMS Phase 2 Home Study Quiz Enumerator Name: The following quiz relates directly to information needed to complete the 2018 ARMS Phase 2 PPCR/PPR questionnaire (s). Mark the box next to all correct
More informationAcceptability High Effectiveness High Affordability High Timing / Urgency High
Case study - Rainwater harvesting basins Case Study Background Data Tool category: Adaptation on the farm Variety: Arabica Climatic Hazard: intermitted rains unpredictable rain drought during flowering
More informationMeasuring farm labor: survey experimental evidence from Ghana +
Measuring farm labor: survey experimental evidence from Ghana + Isis Gaddis *, Gbemisola Oseni *, Amparo Palacios-Lopez * and Janneke Pieters ** * World Bank ** Wageningen University October 2017 Preliminary,
More informationHighlight. Smart farming: Hope for the world, opportunity for Thailand. 12 October 2016
Smart farming: Hope for the world, opportunity for Thailand 12 October 2016 Highlight The global demand for agricultural products is rapidly rising, while agricultural land remains limited. To produce
More informationThe Impact of Seasonal Food and Cash Loans on Smallholder Farmers in Zambia
The Impact of Seasonal Food and Cash Loans on Smallholder Farmers in Zambia Günther Fink (Harvard SPH) Kelsey Jack (Tufts University) Felix Masiye (UNZA) Tuesday, 22 March 2016 UNZA School of Veterinary
More informationUsing the Progress Out of Poverty Index in Agricultural Value Chains. A Case Study in Kenyan Tea
Using the Progress Out of Poverty Index in Agricultural Value Chains A Case Study in Kenyan Tea Sustainable Food Laboratory February 2014 The Progress Out of Poverty Index () developed by Mark Schreiner
More informationSustainable land management under rural transformation in Africa
Sustainable land management under rural transformation in Africa T. S. Jayne, Frank Place, and Sieglinde Snapp Presentation at the ICAE pre-conference workshop Rural Transformation in the 21st Century:
More informationCDI RWANDA POST HARVEST REPORT FOR SEASON A 2016
CDI RWANDA POST HARVEST REPORT FOR SEASON A 2016 1 MAY 2016, KIGALI RWANDA Table of Contents Pages List of ACRONYMS... 2 1. Introduction and project background... 3 2. Post-harvest results findings of
More informationImpact of Crop Intensification Program on Sustainable Maize Production in Rwanda
Int. Journal of Management and Development Studies 4(3): 318-324 (2015) ISSN (Online): 2320-0685. ISSN (Print): 2321-1423 Impact of Crop Intensification Program on Sustainable Maize Production in Rwanda
More informationImpact Evaluation Report of Integrated Agriculture and Productivity Project: Interim Report
Impact Evaluation Report of Integrated Agriculture and Productivity Project: Interim Report DEVELOPMENT IMPACT EVALUATION (DIME) The World Bank Funding for this study generously provided by the Global
More informationSummary report of the P4P Instrument Review workshop,
Summary report of the P4P Instrument Review workshop, Nairobi, 4-5 February 2013 hosted by the African Economic Research Consortium Introduction In September 2008, WFP launched an innovative agricultural
More informationImpact Evaluation and the Project Cycle
Aidan Coville Florence Kondylis (DIME) Impact Evaluation the Project Cycle Development Impact Evaluation Initiative innovations & solutions in infrastructure, agriculture & environment naivasha, april
More informationCONSTRAINTS OF ADOPTING ECOFRIENDLY RICE FARMING PRACTICES
j. innov.dev.strategy. 1(1): 6- (December 2007) CONSTRAINTS OF ADOPTING ECOFRIENDLY RICE FARMING PRACTICES M. S. KABIR 1, M. E. HAQUE 2, M. M. UDDIN 3, A. M. SAMSUDDULA 4, M. M. H. SARKER 5 1 MS Student,
More informationKnowledge on SRI (System of Rice Intensification) of Farmers in Tripura, India
International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 03 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.703.412
More informationCost and benefit analysis of cropping systems for sorghum and maize production under the Africa RISING project in Mali Felix Badolo
Cost and benefit analysis of cropping systems for sorghum and maize production under the Africa RISING project in Mali Felix Badolo Produced by Published by International Crops Research Institute for the
More informationSmallholder Diaries Building the Evidence Base with Farming Families in Mozambique, Tanzania and Pakistan. Jamie Anderson Agrifin Webinar 24 May 2016
Smallholder Diaries Building the Evidence Base with Farming Families in Mozambique, Tanzania and Pakistan Jamie Anderson Agrifin Webinar 24 May 2016 Financial innovation for smallholder families Build
More informationTHE IMPACT OF CLIMBING BEAN ADOPTION ON WELFARE OF SMALLHOLDER COMMON BEAN GROWERS IN RWANDA
THE IMPACT OF CLIMBING BEAN ADOPTION ON WELFARE OF SMALLHOLDER COMMON BEAN GROWERS IN RWANDA Enid Katungi Catherine Larochelle Josephat Mugabo Robin Buruchara Outline Setting the context-- Role of bean
More informationSurvey Statistician to provide assistance for the Randomized rural household survey Scope of Work (SOW)
AgResults Kenya On-Farm Storage Pilot Survey Statistician to provide assistance for the Randomized rural household survey Scope of Work (SOW) 1. Consultant Name: TBD 2. Period of Performance: TBD 3. Level
More informationFGD Guide For Qualitative Data collection for LOL Mozambique Smallholder Dairy Development Project (MSDDP) Check list for Mixed FGDs
FGD Guide For Qualitative Data collection for LOL Mozambique Smallholder Dairy Development Project (MSDDP) Check list for Mixed FGDs Only beneficiaries from households that have received a dairy cow in
More informationMAPPING ADOPTION OF ISFM PRACTICES STUDY
MAPPING ADOPTION OF ISFM PRACTICES STUDY The Case of Kenya, Rwanda & Zambia Ephraim Nkonya, Carlo Azzari, Edward Kato, Jawoo Koo, Generose Nziguheba, & Bernard Vanlauwe Outline Summary of results Introduction
More informationAsiatic cotton can generate similar economic benefits to Bt cotton under rainfed conditions
Asiatic cotton can generate similar economic benefits to Bt cotton under rainfed conditions Supplementary note The minimum effect size (d) that our test is able to detect considering our sample size (n=17
More information2016 Post-Distribution Assessment Results
2016 Post-Distribution Assessment Results FAO s Meher season emergency seed response to the El Niño-induced drought in Ethiopia 1 Food and Agriculture Organization of the United Nations Ethiopia Country
More informationThe SMaRT Approach: Delivering Balanced Fertilizers to Smallholders
The SMaRT Approach: Delivering Balanced Fertilizers to Smallholders John Wendt, Ph.D. Deputy Director for Field Research International Fertilizer Development Center Nairobi, Kenya 5 Mt/ha maize removes:
More informationReport on the System of Rice Intensification (SP 36 02)
Report on the System of Rice Intensification (SP 36 02) by AM Muazzam Husain 1 Gopal Chowhan 2 ABM Ziaur Rahman 3 Razib Uddin 4 Proloy Barua 5 Prepared for PETRRA Technology Workshop BRRI Auditorium, Gazipur
More informationGender and Cash Crops: The Case of Coffee Production in Ethiopia
ETHIOPIAN DEVELOPMENT RESEARCH INSTITUTE Gender and Cash Crops: The Case of Coffee Production in Ethiopia Mekdim Dereje, Ermias Engida, Bart Minten, Silvia Possenti and Fanaye Tadesse IFPRI/ESSP Ethiopian
More informationSWAZILAND A HOLISTIC APPROACH TO NUTRITION FOR VULNERABLE HOUSEHOLDS: A CASE STUDY FOR SWAZILAND AT HOUSE HOLD LEVEL 9-13 SEPTEMBER 2013
SWAZILAND A HOLISTIC APPROACH TO NUTRITION FOR VULNERABLE HOUSEHOLDS: A CASE STUDY FOR SWAZILAND AT HOUSE HOLD LEVEL 9-13 SEPTEMBER 2013 IMPLEMENTING INSTITUTION MINISTRY OF AGRICULTURE HOME ECONOMICS
More informationReliability of Recall in Agricultural Data
PRELIMINARY DRAFT DO NOT CITE Reliability of Recall in Agricultural Data Kathleen Beegle Calogero Carletto Kristen Himelein Development Research Group, World Bank 1818 H Street NW, Washington DC, 20433,
More informationCentral Statistical Agency National Integrated Household Survey Agricultural Sample Survey, 2009/2010 (2002 E.C)
QUESTIONNAIRE 1 Central Statistical Agency National Integrated Household Survey Agricultural Sample Survey, 2009/2010 (2002 E.C) Ag.S.S. Form 2002/0 Part I - Identification Particulars 1 2 3 4 5 Region
More informationImpact of Drought Index Insurance on Supplemental Irrigation: A Randomized Controlled Trial Experimental Evidence in Northern Ghana
Impact of Drought Index Insurance on Supplemental Irrigation: A Randomized Controlled Trial Experimental Evidence in Northern Ghana Francis H. Kemeze Department of Agricultural Economics and Agribusiness,
More informationThe Benefits and Limitations of Permaculture in Central Malawi. Abigail Conrad, PhD September 8, 2015 IPC UK
The Benefits and Limitations of Permaculture in Central Abigail Conrad, PhD September 8, 2015 IPC UK Permaculture in central Permaculture programs and organizations in 2 Aerial photo of a permaculture
More informationEconomic impacts of GM crops on smallholders in the Philippines, Honduras, Colombia and Bolivia
Economic impacts of GM crops on smallholders in the Philippines, Honduras, Colombia and Bolivia Melinda Smale, Patricia Zambrano, Jose Yorobe and José Falck-Zepeda Outline I. Project goals II. Highlights
More informationTHE FARM SIZE-PRODUCTIVITY RELATIONSHIP REVISITED
THE FARM SIZE-PRODUCTIVITY RELATIONSHIP REVISITED Milu Muyanga *, Ayala Wineman*, Debrah Godwin*, Chewe Nkonde+, T.S. Jayne* * Agricultural, Food and Resource Economics Department, MSU +University of Zambia,
More informationDEPARTMENT OF ECONOMICS YALE UNIVERSITY P.O. Box New Haven, CT
DEPARTMENT OF ECONOMICS YALE UNIVERSITY P.O. Box 208268 New Haven, CT 06520-8268 http://www.econ.yale.edu/ Economic Growth Center Discussion Paper No. 1020 Economics Department Working Paper No. 111 Probability
More informationA review of methods for estimating yield and production impacts
A review of methods for estimating yield and production impacts Andrew Dorward and Ephraim Chirwa December 2010 Summary This paper documents methodological lessons from experience in estimating yield and
More informationSocial Protection From Protection to Production. Livelihoods and Food Security Programme: Baseline data analysis for a LEWIE model Silvio Daidone
Social Protection From Protection to Production Livelihoods and Food Security Programme: Baseline data analysis for a LEWIE model Silvio Daidone A quick chronology December 2013: LFSP signed by FAO to
More informationFood security and value supply chain: the case of Ugandan maize
0. 4 th AIEAA Conference Ancona, Italy June 11-12, 2015 Food security and value supply chain: the case of Ugandan maize Pierluigi Montalbano* Rebecca Pietrelli** Luca Salvatici*** *University of Sussex
More informationName of the experiment: Estimation of production cost and benefit cost ratio of some vegetable crops
Name of the experiment: Estimation of production cost and benefit cost ratio of some vegetable crops A. Production cost Production cost of a crop refers to the total cost per unit area during producing
More informationSourcing from Smallholders Sarah Roberts All-Party Parliamentary Group Food and Development Meeting, March 2015
Sourcing from Smallholders Sarah Roberts All-Party Parliamentary Group Food and Development Meeting, March 2015 ETP Members The ETP vision is of a thriving tea industry that is socially just and environmentally
More informationAgricultural Technology and the Hungry Season: Evidence from NERICA Rice in Sierra Leone Rachel Glennerster and Tavneet Suri
Agricultural Technology and the Hungry Season: Evidence from NERICA Rice in Sierra Leone Rachel Glennerster and Tavneet Suri Nidhi Parekh 7 th July, 2017 Impacts of international agricultural research:
More informationTypology characterization of farmers in West Africa
Typology characterization of farmers in West Africa Sara Signorelli Africa RISING M&E team, IFPRI Africa RISING West Africa Review and Planning Meeting, Accra, 30 March 1 April 2016 Why do we need typologies?
More informationCurrent Issues and Empirical Evidence from Malawi, Zambia, and Kenya. Isaac Minde, T.S. Jayne, Joshua Ariga, Jones Govereh, and Eric Crawford
Fertilizer Subsidies and Sustainable Agricultural Growth in Africa: Current Issues and Empirical Evidence from Malawi, Zambia, and Kenya Isaac Minde, T.S. Jayne, Joshua Ariga, Jones Govereh, and Eric Crawford
More informationFINAL PROJECT REPORT
Trellis Fund FINAL PROJECT REPORT Institution: Environmental Conservation and Agricultural Enhancement Uganda (Eco-Agric Uganda) Project Number: 09-002945-47 Project Title: Promotion and expansion of organic
More informationReducing the carbon footprint of coffee production through improved fertilizer management. Katharina Plassmann
Reducing the carbon footprint of coffee production through improved fertilizer management Katharina Plassmann Introduction Global climate change: the size of the challenge http://climateactiontracker.org
More informationCambodia HARVEST Commercial Horticulture Evaluation. June 2016
Cambodia HARVEST Commercial Horticulture Evaluation June 2016 Evaluation Team Dr. Murari Suvedi, Michigan State University Dr. Raul Pitoro, Michigan State University Ms. Bineeta Gurung, Michigan State
More informationFertilizer Sector Improvement (FSI+) Crop Cut Survey Report
Fertilizer Sector Improvement (FSI+) Crop Cut Survey Report (2015/16 Dry Season) Agreement Number BFS-10-10-00001r Funded by Implemented by P.O. Box 2040 Muscle Shoals, Alabama 35662, USA www.ifdc.org
More informationCHAPTER VI SUMMARY AND CONCLUSION
CHAPTER VI SUMMARY AND CONCLUSION In this chapter, a nutshell description of the study in respect of the summary, conclusion, implication and suggestions for the further research is included. This chapter
More informationGayatri Datar (World Bank, IEG) Ximena V. Del Carpio (World Bank, IEG) Vivian Hoffmann (University of Maryland, AREC)
Can a Market-Assisted Land Redistribution Program Improve the Lives of the Poor? Evidence from Malawi Gayatri Datar (World Bank, IEG) Ximena V. Del Carpio (World Bank, IEG) Vivian Hoffmann (University
More informationA NEW APPROACH. to mechanized farming for rural communities in Africa
A NEW APPROACH to mechanized farming for rural communities in Africa Agricultural mechanization is key to unlocking the enormous potential of small-scale farming in Africa. There is an urgent need to empower
More informationA METHODOLOGICAL CLUSTER-RANDOMIZED CONTROLLED TRIAL IN BURKINA FASO TO ASSESS BIAS IN ESTIMATES OF AGRICULTURE-NUTRITION RELATIONSHIPS
A METHODOLOGICAL CLUSTER-RANDOMIZED CONTROLLED TRIAL IN BURKINA FASO TO ASSESS BIAS IN ESTIMATES OF AGRICULTURE-NUTRITION RELATIONSHIPS Agriculture, Nutrition, Health Scientific Symposium Kathmandu, Nepal,
More informationAn Organic Primer ebook
An Organic Primer ebook A guide to Organics in the Produce Department including USDA Standards, Organic VS Conventional, and key terms A Quick Note from the Author A note to the Organics buyer Organic
More informationGender and Agriculture: Building smarter policy. Markus Goldstein
Gender and Agriculture: Building smarter policy Markus Goldstein Why should we care about women farmers? Women farmers produce less per hectare than men FAO: Addressing this could have big payoffs. Women
More informationAn Analysis on the Policy of Promoting Rubber Trees Cultivation for Replacing Garlic and Longan Growing: A Case Study of Chiang Mai, Thailand
Research article erd An Analysis on the Policy of Promoting Rubber Trees Cultivation for Replacing Garlic and Longan Growing: A Case Study of Chiang Mai, Thailand JUKKAPHONG POUNG-NGAMCHUEN* Faculty of
More informationc) What optimality condition defines the profit maximizing amount of the input to use? (Be brief and to the point.)
AAE 320 Fall 2016 Exam #1 Name: 1) (10 pts.) Based on material covered in class, are these True or False? Mark your answer. a) T F Wisconsin farmers produce more milk than farmers in any other state. b)
More informationTHE COMMON MARKET FOR EASTERN AND SOUTHERN AFRICA REGIONAL TOBACCO FARMING STUDY CALL FOR APPLICATIONS
THE COMMON MARKET FOR EASTERN AND SOUTHERN AFRICA REGIONAL TOBACCO FARMING STUDY CALL FOR APPLICATIONS November 2017 0 P a g e A. Background Project title: Assignment title: An analysis of the trade, social,
More informationThe evaluation effect and the unintended consequences of measuring impact
Laterite Working Paper Series Working Paper no3 [DRAFT VERSION. NOT TO BE QUOTED OR CIRCULATED] The evaluation effect and the unintended consequences of measuring impact HOW DATA COLLECTION BOOSTS OUTCOMES
More informationSession - II. Livelihood Linkages of Trade in Agricultural Products. A Presentation By
Session - II Livelihood Linkages of Trade in Agricultural Products A Presentation By Rahul Arora, Policy Analyst CUTS International, Jaipur India Email: rha@cuts.org 1 Importance of Agriculture Trade and
More informationAllocation of costs in complex cropping and mixed farming systems
Allocation of costs in complex cropping and mixed farming systems Regional Training Course on Agricultural Cost of Production Statistics 21 25 November 2016, Daejeon, Republic of Korea 1 Introduction and
More informationLow input aquaculture systems in Lao PDR
Low input aquaculture systems in Lao PDR Simon Funge-Smith, Aquaculture Development Advisor Provincial Aquaculture Development Project LAO/97/007 By definition very low input aquaculture systems have the
More informationIMPACT EVALUATION NOTE
IMPACT EVALUATION NOTE NOVEMBER 2018 This brief provides an update on findings and experiences from impact evaluations carried out by the Development Impact Evaluation (DIME) unit and other technical partners
More informationCost of Production for Maize & Rice in Kenya, Presented by Tim Njagi Fairveiw Hotel, 5 th October, 2017
Cost of Production for Maize & Rice in Kenya, 2017 Presented by Tim Njagi Fairveiw Hotel, 5 th October, 2017 Maize production Maize is the most important cereal grain in the country 65% of staple food
More informationThe Public Agricultural Extension System in China: Development and Reform
The Public Agricultural Extension System in China: Development and Reform Ruifa Hu 1,2 1 School of Management and Economics (SME), Beijing Institute of Technology (BIT) 2 Center for Chinese agricultural
More informationAgronomy and the Economy:
Agronomy and the Economy: Using soil analysis to understand fertilizer use and effectiveness on smallholder farms in Zambia William J. Burke, Center on Food Security and the Environment, Stanford University
More informationDetailed Crop Cost Calculations
Detailed Crop Cost Calculations USAID - ADVANCE Project, June 2012 The table below indicates the estimated costs per hectare and acres for RICE production in Northern Ghana in the 2012 cultivation season
More informationEfficiency Analysis of Rice Farmers in the Upper East Region of Ghana
Efficiency Analysis of Rice Farmers in the Upper East Region of Ghana Kofi Kyei, University of Tsukuba, Japan Kenichi Matsui, University of Tsukuba, Japan The IAFOR International Conference on Sustainability,
More informationThe farmer should answer the questions for their rice field for the season they desire a fertilizer recommendation.
Nutrient Manager for Rice (Cauvery Delta, Tamil Nadu India) Beta version The farmer should answer the questions for their rice field for the season they desire a fertilizer recommendation. 1. Where is
More informationMeasuring the Impacts of Malawi s Farm Input Subsidy Program
Measuring the Impacts of Malawi s Farm Input Subsidy Program Christopher Chibwana, Monica Fisher, Charles Jumbe and Gerald Shively Paper presented at the COMESA/ACTESA/MSU 5 th AAMP Policy Symposium April
More informationCassava Climate-Smart Agriculture Practices at Yen Binh District, Yen Bai Province, Vietnam
International Journal of Political Science (IJPS) Volume 2, Issue 4, 2016, PP 28-33 ISSN 2454-9452 http://dx.doi.org/10.20431/2454-9452.0204003 www.arcjournals.org Cassava Climate-Smart Agriculture Practices
More informationNAME... INDEX NO... KENYA CERTIFICATE OF SECONDARY EDUCATION FORM FOUR EVALUATION EXAMINATION
NAME... INDEX NO... GATUNDU SUB COUNTY FORM FOUR 2014 EVALUATION EXAM 443/1 AGRICULTURE PAPER I JULY/AUGUST 2014 TIME: 2 HOURS KENYA CERTIFICATE OF SECONDARY EDUCATION FORM FOUR EVALUATION EXAMINATION
More informationPalay Production by Seed Type and Class in Nueva Ecija, Leyte and Davao del Norte
Palay Production by Seed Type and Class in Nueva Ecija, Leyte and Davao del Norte Department of Agriculture BUREAU OF AGRICULTURAL STATISTICS May 2006 FOREWORD This report presents the results of the Survey
More informationAN EFFECTIVE POLICY STRATEGY FOR UTILIZATION OF FRAGMENTED LANDS IN RWANDA: LAND USE CONSOLIDATION FROM FARMERS PERSPECTIVES
AN EFFECTIVE POLICY STRATEGY FOR UTILIZATION OF FRAGMENTED LANDS IN RWANDA: LAND USE CONSOLIDATION FROM FARMERS PERSPECTIVES Niyonasenze S 1, P. Mulyungi 2, Shukla 2, E. Ntaganira 3 1 Graduate Student,
More informationQUESTIONNAIRE. Application of Chemical Fertilizer in Agriculture a study with special reference to the farmers in Andhra Pradesh, India.
ANNEXURE QUESTIONNAIRE Application of Chemical Fertilizer in Agriculture a study with special reference to the farmers in Andhra Pradesh, India. I, T. Sudhakar Reddy, Research Scholar (Ph.D) at Acharya
More informationGender Dimensions of Agricultural Innovation Awareness and Adoption
Gender Dimensions of Agricultural Innovation Awareness and Adoption Workshop on BioSight/SustainableFutures Project December 4, 2013 Presented by: Eric Haglund, IFPRI Research with: Quinn Bernier, Elizabeth
More informationGender Comparison in Production and Productivity of Cocoa Farmers in Ile Oluji Local Government Area of Ondo State, Nigeria
Global Journal of Science Frontier Research Agriculture & Biology Volume 12 Issue 5 Version 1.0 April 2012 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc.
More informationEco311, Final Exam, Fall 2017 Prof. Bill Even. Your Name (Please print) Directions. Each question is worth 4 points unless indicated otherwise.
Your Name (Please print) Directions Each question is worth 4 points unless indicated otherwise. Place all answers in the space provided below or within each question. Round all numerical answers to the
More information1. What variable costs are associated with corn and grain sorghum production?
UNIT VI - CORN AND GRAIN SORGHUM PRODUCTION Lesson 8: Figuring Crop Costs Competency/Objective: Calculate cost per acre. Study Questions References 1. What variable costs are associated with corn and grain
More informationDIME Impact Evaluation Workshop
DIME Impact Evaluation Workshop DIME Impact Evaluation Workshop Innovations for Agriculture Innovations for Agriculture 16-20 June 2014, Kigali, Rwanda 16-20 June 2014, Kigali, Rwanda make extension services
More informationTECHNOLOGY AND INNOVATION MEETING
International Irrigation General and Territory Sales Managers TECHNOLOGY AND INNOVATION MEETING May 8 12, 2017 Valley, NE CIRCLES Rich Berkland Top Fifteen: World Irrigation 325 Million Hectares India
More informationHorticulture CRSP Project Report
Horticulture CRSP Project Report Promoting Fruit and Vegetable Production to Improve Nutrition in Nkokonjeru, Uganda Improving community nutrition in Nkokonjeru, Uganda by promoting fruit and vegetable
More informationUnlocking the potential of agrobiodiversity conservation for food and nutrition security and mitigating the effects of climate change
Unlocking the potential of agrobiodiversity conservation for food and nutrition security and mitigating the effects of climate change SIMON MBURU KENYATTA UNIVERSITY Quantitative methods for integrated
More informationHarvesting and FAO e-agriculture Webinar
Harvesting and FAO e-agriculture Webinar Driving Financial Inclusion for Smallholder Farmers using Satellite Data and Machine Learning October 25, 2018 Harvesting, Inc Julie Cheng Director, Financial Inclusion
More informationSMALL FARMS ARE "REAL" FARMS. John Ikerd University of Missouri
SMALL FARMS ARE "REAL" FARMS John Ikerd University of Missouri What is a small farm? When we talk about small farms, do we mean small in acreage, small in production or value of sales, small in income,
More information