| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Duration Analysis Approach to Variety Change in Wheat Farms in Bihar, India |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
17 |
| A STAKEHOLDER ASSESSMENT OF AGRICULTURAL POLICY PROCESSES IN MALI: RESULTS OF A BASELINE SURVEY |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
14 |
| A Systematic Review of the Impact of School Feeding Programs on Educational, Nutritional, and Agricultural Development Goals |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
31 |
| ASSESSMENT OF THE QUALITY OF AGRICULTURE AND FOOD SECURITY POLICY PROCESSES AND INSTITUTIONAL ARCHITECTURE IN TANZANIA: RESULTS OF THE 2016 STAKEHOLDER SURVEY |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
17 |
| Accounting for selection bias in impact analysis of a rural development program: An application using propensity score matching |
0 |
0 |
2 |
53 |
0 |
0 |
6 |
178 |
| An Overview of Bean Production Practices, Varietal Preferences, and Consumption Patterns in the Milpa System of the Guatemalan Highlands: Results of a Farm Household Survey |
0 |
0 |
1 |
20 |
0 |
2 |
5 |
102 |
| Are There Gender Differences in the Perceived Impact of Land Security? Evidence from Urban Lesotho |
0 |
0 |
0 |
45 |
0 |
0 |
0 |
67 |
| Are we done yet? Response fatigue and rural livelihoods |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
10 |
| Are we measuring what we think we are measuring? Recent experience in using DNA fingerprinting and implications for tracking varietal adoption and assessing impacts |
0 |
1 |
2 |
32 |
0 |
1 |
3 |
76 |
| Assessing Heterogeneity in the Child Growth Impacts of In-Utero Rainfall Shocks in Rural Rwanda |
0 |
1 |
1 |
11 |
0 |
1 |
1 |
38 |
| Assessing the Impact of the Bean/Cowpea Collaborative Research Support Program (B/C CRSP) Graduate Degree Training |
0 |
0 |
0 |
7 |
0 |
1 |
2 |
87 |
| CAN THE MOMENTUM BE SUSTAINED? AN ECONOMIC ANALYSIS OF THE MINISTRY OF AGRICULTURE/SASAKAWA GLOBAL 2000'S EXPERIMENT WITH IMPROVED CEREALS TECHNOLOGY IN ETHIOPIA |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
84 |
| COVID-19 in rural Malawi: Perceived risks and economic impacts |
0 |
0 |
0 |
8 |
1 |
1 |
3 |
36 |
| COVID-19 in rural Malawi: Perceived risks and economic impacts round 2 |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
3 |
| COVID-19 in rural Malawi: Perceived risks and economic impacts rounds 1-4 |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
12 |
| CYCLICAL CONCENTRATION AND BIOTECH R&D ACTIVITY: A NEO-SCHUMPETERIAN MODEL |
0 |
0 |
1 |
15 |
0 |
0 |
2 |
93 |
| CYCLICAL CONCENTRATION AND CONSOLIDATION IN BIOTECH R&D: A NEO-SCHUMPETERIAN MODEL |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
85 |
| Can The Momentum be Sustained? An Economic Analysis of the Ministry of Agriculture/Sasakawa Global 2000's Experiment with Improved Cereals Technology in Ethiopia |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
45 |
| Changes in Stakeholder Perceptions of the Quality of Institutional Architecture and Quality of Agriculture and Food Security Policy Processes in Zambia |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
22 |
| Changes in Stakeholder Perceptions of the Quality of Institutional Architecture and Quality of Agriculture and Food Security Policy Processes in Zambia |
0 |
0 |
3 |
6 |
0 |
0 |
3 |
20 |
| Constraints and Strategies for the Development of the Seed System in Mozambique |
0 |
0 |
0 |
26 |
0 |
0 |
1 |
110 |
| Constrangimentos e Estratégias para o Desenvolvimento do Sistema de Sementes em Moçambique |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
62 |
| Consumers’ Willingness to Pay for High Zinc and Low Milled Rice in Bangladesh |
0 |
0 |
0 |
20 |
0 |
0 |
2 |
43 |
| Cost-effectiveness of Computer Assisted Personal Interviewing vs paper-and-pen based interviewing methods for data collection |
0 |
0 |
0 |
30 |
0 |
0 |
0 |
94 |
| Curriculum Enhancement and Reform to Meet the Needs of Smallholder Farmers in Developing Countries: Survey of Literature |
1 |
1 |
3 |
68 |
1 |
1 |
6 |
392 |
| Determinants of Sustainability of Community Seed Banks in Nicaragua: A Duration Analysis Approach |
0 |
0 |
0 |
20 |
0 |
0 |
1 |
94 |
| Do Farmers Value Seeds of Different Quality Differently? Evidence from Willingness to Pay Experiments in Tanzania and Ghana |
0 |
1 |
1 |
25 |
0 |
1 |
3 |
86 |
| Do Smaller States Lead to More Development? Evidence from Splitting of Large States in India |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
45 |
| Do Smaller States Lead to More Development? Evidence from Splitting of Large States in India |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
25 |
| Do farmers economically value seeds of different quality differently? Evidence from willingness to pay studies in Tanzania and Ghana |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
7 |
| EX-ANTE ASSESSMENT OF THE IMPACT OF DISEASE-RESISTANT CUCURBITS GERMPLASM IN INDONESIA AND SOUTH AFRICA |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
174 |
| Early Impacts of COVID-19 on Household Incomes and Food Consumption – The Kenyan Case |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
3 |
| Early Impacts of COVID-19 on Household Incomes and Food Consumption – The Zambian Case |
0 |
0 |
1 |
5 |
0 |
0 |
1 |
4 |
| Economic Impact of Research Investment in the Development and Dissemination of Improved Cowpea Varietal Technology |
0 |
0 |
1 |
6 |
0 |
0 |
1 |
27 |
| Economic Impacts of Bio-control Research to Manage Field Insect Pests of Cowpea in Burkina Faso: Baseline Survey Report |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
104 |
| Economic impacts of COVID-19 in urban and rural Africa: Surprising results from five countries |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
4 |
| Effectiveness of Lead-Farmer Extension: The Role of Physical, Social and Personality Distance |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
4 |
| Effectiveness of Scaling up Bio-fortified Crops: Evidence from a Field Experiment in Rwanda |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
27 |
| Effectiveness of the bean seed dissemination models implemented under the Bean Technology Dissemination (BTD) Project: Results of key informant interviews in Guatemala, Honduras and Nicaragua |
1 |
1 |
1 |
33 |
1 |
1 |
1 |
48 |
| Evaluation du processus d’élaboration des politiques agricoles et de sécurité alimentaire par les intervenants au Mali |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
| Ex Ante Economic Analysis in AKIS Projects: Methods and Guidelines for Good Practice |
0 |
1 |
2 |
6 |
0 |
1 |
2 |
30 |
| Facilitating Seed Sector Transformation in Africa: Key Findings from the Literature |
0 |
0 |
0 |
34 |
0 |
0 |
3 |
106 |
| Farmer Valuation of Improved Bean Seed Technologies: Real Auction Evidence from Tanzania |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
33 |
| Farmer perspective on the use of and demand for seeds of improved bean varieties: Results of beneficiary surveys in Guatemala, Honduras and Nicaragua |
0 |
0 |
0 |
25 |
0 |
0 |
1 |
57 |
| Farmers’ willingness to pay for quality seed: What role does credence, experience, and observation play? |
0 |
0 |
1 |
17 |
0 |
0 |
1 |
24 |
| GLOBAL IMPLICATIONS FROM A NORTH-NORTH-SOUTH TRADE MODEL: A BIOTECH REVOLUTION |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
162 |
| Global and Regional Trends in Production, Trade and Consumption of Food Legume Crops |
0 |
0 |
3 |
91 |
0 |
0 |
9 |
388 |
| Green Revolution Technology Takes Root In Africa: The Promise and Challenge of the Ministry of Agriculture/SG2000 Experiment with Improved Cereals Technology in Ethiopia; Statistical Annex and Copies of Questionnaire |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
55 |
| Green Revolution Technology Takes Root in Africa The Promise and Challenge of the Ministry of Agriculture/SG2000 Experiment with Improved Cereals Technology in Ethiopia |
0 |
0 |
0 |
35 |
0 |
0 |
0 |
209 |
| Green Revolution Technology Takes Root in Africa: The Promise and Challenge of the Ministry of Agriculture/Sg2000 Experiment with Improved Cereals Technology in Ethiopia |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
112 |
| How should government spend its budgetary resources for agricultural development? |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
11 |
| IMPACT OF LEGUME TECHNOLOGIES ON FOOD SECURITY: EVIDENCE FROM ZAMBIA |
0 |
0 |
0 |
21 |
0 |
0 |
3 |
40 |
| INSTITUTIONAL ARCHITECTURE AND QUALITY OF AGRICULTURE AND FOOD SECURITY POLICY PROCESSES IN ZAMBIA |
0 |
0 |
0 |
16 |
0 |
0 |
4 |
35 |
| INVESTMENT STRATEGIES FOR BIOTECHNOLOGY IN EMERGING RESEARCH SYSTEMS |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
81 |
| IS AGRICULTURAL RESEARCH STILL A PUBLIC GOOD? |
0 |
0 |
0 |
31 |
0 |
0 |
0 |
193 |
| Impact Evaluation of the Feed the Future Cambodia Helping Address Rural Vulnerabilities and Ecosystem Stability (HARVEST) Project |
4 |
4 |
7 |
49 |
4 |
5 |
10 |
124 |
| Impact of COVID-19 on Household Incomes and Food Consumption – The Zambian Case |
0 |
0 |
0 |
4 |
0 |
0 |
2 |
7 |
| Impacts of U.S. Graduate Degree Training on Capacity Building in Developing Countries: A Case Study of the Pulse CRSP |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
85 |
| Improving the methods of measuring varietal adoption by farmers in developing countries: Recent experience with the use of DNA fingerprinting and impiactions for tracking adoption and assessing impacts |
0 |
0 |
0 |
35 |
0 |
1 |
2 |
59 |
| Improving the proof: Evolution of and emerging trends in impact assessment methods and approaches in agricultural development |
0 |
0 |
1 |
96 |
0 |
0 |
1 |
267 |
| Increasing Seed System Efficiency in Africa: Concepts, Strategies and Issues |
0 |
0 |
0 |
180 |
0 |
0 |
1 |
459 |
| Labor (mis?)measurement in agriculture |
0 |
0 |
0 |
11 |
0 |
0 |
0 |
8 |
| Legume Technologies as a Sustainable Solution to Climatic Shocks: Evidence from Malawi |
0 |
0 |
1 |
8 |
0 |
0 |
2 |
32 |
| Les impacts économiques du COVID-19 en Afrique urbaine et rurale: Des résultats inattendus dans cinq pays |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
3 |
| Long recall loss in estimates of rural labor supply: Evidence from phone surveys in Malawi |
0 |
0 |
1 |
2 |
0 |
0 |
1 |
7 |
| Market participation and sale of potatoes by smallholder farmers in the central highlands of Angola: A Double Hurdle approach |
0 |
0 |
6 |
84 |
0 |
2 |
13 |
281 |
| Measuring employment in the agri-food system: Existing data and directions for future research |
0 |
1 |
3 |
16 |
0 |
1 |
5 |
30 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural commodity traders - Late June 2020 survey round |
0 |
0 |
0 |
9 |
1 |
1 |
1 |
17 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural commodity traders - May 2020 survey round |
0 |
0 |
1 |
9 |
0 |
0 |
2 |
30 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural commodity traders - May 2020 survey round - An analytical summary [in Burmese] |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
12 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural commodity traders - Synopsis of results from three survey rounds through early August 2020 |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
13 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural commodity traders - Synopsis of results from three survey rounds through early August 2020 [in Burmese] |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
6 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural input retailers - June 2020 survey round |
0 |
0 |
0 |
28 |
0 |
0 |
3 |
238 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural input retailers - May 2020 survey round |
0 |
0 |
0 |
33 |
0 |
0 |
0 |
92 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural input retailers - Mid-June and early July 2020 survey rounds |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
4 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural input retailers - Synopsis of results from five survey rounds through late July 2020 |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
8 |
| Monitoring the impact of COVID-19 in Myanmar: Agricultural input retailers - Synopsis of results from five survey rounds through late July 2020 [in Burmese] |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
4 |
| Monitoring the impact of COVID-19 in Myanmar: Urban food retailers - Early July 2020 survey round |
0 |
0 |
0 |
26 |
0 |
0 |
2 |
78 |
| Monitoring the impact of COVID-19 in Myanmar: Urban food retailers - Early July 2020 survey round [in Burmese] |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
8 |
| Monitoring the impact of COVID-19 in Myanmar: Urban food retailers - Late July 2020 survey round |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
24 |
| NORTH-NORTH-SOUTH AG-BIOTECH POLICY: IMPLICATIONS FOR GROWTH AND TRADE |
0 |
0 |
0 |
8 |
0 |
0 |
0 |
48 |
| No Shortcuts to Progress: An Assessment of Agricultural Research Planning and Priority Setting in Africa |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
28 |
| Opportunities Seized, Opportunities Missed: Differences in the Economic Impact of Bean Research in Five Latin American Countries |
1 |
1 |
1 |
14 |
1 |
1 |
3 |
61 |
| PROGRESS AND PROBLEMS IN PROMOTING HIGH EXTERNAL-INPUT TECHNOLOGIES IN SUB-SAHARAN AFRICA: THE SASAKAWA GLOBAL 2000 EXPERIENCE IN ETHIOPIA AND MOZAMBIQUE |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
65 |
| PROGRESS AND PROBLEMS IN PROMOTING HIGH EXTERNAL-INPUT TECHNOLOGIES IN SUB-SAHARAN AFRICA: THE SASKAWA GLOBAL 2000 EXPERIENCE IN ETHIOPIA AND MOZAMBIQUE |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
47 |
| Profitable but Vulnerable: Assessment of the Nicaraguan Bean Seed Enterprises Using Duration Analysis |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
6 |
| RESULTS FROM THE 2015 MALAWI AGRICULTURE AND FOOD SECURITY POLICY PROCESSES BASELINE SURVEY |
0 |
0 |
1 |
11 |
0 |
1 |
3 |
27 |
| RESULTS FROM THE 2015 MALAWI AGRICULTURE AND FOOD SECURITY POLICY PROCESSES BASELINE SURVEY |
0 |
0 |
0 |
34 |
0 |
0 |
2 |
118 |
| Recycling water sachet plastic wastes in Nigeria: Is there a difference between what people say and do? |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
17 |
| Regulatory options to improve seed systems for vegetatively propagated crops in developing countries |
0 |
0 |
1 |
10 |
0 |
1 |
2 |
25 |
| Risk Preferences and Adoption of Climate Smart Agricultural Technologies - Evidence from India |
0 |
0 |
0 |
27 |
0 |
0 |
0 |
28 |
| Risk Preferences and Adoption of Climate Smart Agricultural Technologies- Evidence from India |
0 |
0 |
0 |
17 |
0 |
0 |
0 |
30 |
| Risk Preferences and Climate Smart Technology Adoption: A Duration Model Approach for India |
0 |
1 |
6 |
34 |
0 |
2 |
16 |
61 |
| Risk Preferences and the Pace of Climate Smart Technology Adoption: A Duration Model Approach from India |
0 |
0 |
0 |
10 |
0 |
0 |
1 |
25 |
| Rural Bangladeshi Consumers' Willingness to Pay for Rice with Improved Nutrition via Zinc Biofortified Rice and Decreased Milling Practices |
0 |
0 |
1 |
8 |
1 |
1 |
4 |
16 |
| Rural Labor and Long Recall Loss |
0 |
1 |
1 |
10 |
0 |
1 |
2 |
13 |
| Seed Sector Evolution in Zambia and Zimbabwe: Has Farmer Access Improved Following Economic Reforms? |
0 |
0 |
0 |
29 |
0 |
1 |
3 |
79 |
| Smallholder Farmers' and Other Agricultural Sector Stakeholders' Priorities for Government Spending: Evidence from Zambia |
0 |
0 |
0 |
9 |
0 |
0 |
0 |
20 |
| Smallholder farmers' and other agricultural sector stakeholders' priorities for government spending: Evidence from Zambia |
0 |
0 |
0 |
12 |
0 |
0 |
4 |
23 |
| Status of land ownership, land conflict, and perceptions and knowledge about the land law in Mozambique: Analysis of nationally representative data to assess the impact of land policy monitoring and capacity building activities |
0 |
0 |
0 |
23 |
0 |
0 |
0 |
52 |
| Survey design and rural labor measurement: Lessons from three studies |
0 |
0 |
1 |
2 |
0 |
1 |
2 |
5 |
| THE ECONOMICS OF BIOSAFETY: IMPLICATIONS FOR BIOTECHNOLOGY IN DEVELOPING COUNTRIES |
0 |
0 |
0 |
49 |
0 |
0 |
8 |
414 |
| THE QUALITY OF AGRICULTURE AND FOOD SECURITY POLICY PROCESSES AT NATIONAL LEVEL IN MALAWI: RESULTS FROM THE 2015 MALAWI AGRICULTURE AND FOOD SECURITY POLICY PROCESSES BASELINE SURVEY |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
9 |
| THE QUALITY OF AGRICULTURE AND FOOD SECURITY POLICY PROCESSES AT THE FEDERAL AND STATE LEVEL IN NIGERIA: RESULTS OF A STAKEHOLDER SURVEY |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
25 |
| TRANSFORMATION VERSUS STAGNATION IN THE OIL PALM INDUSTRY: A COMPARISON BETWEEN MALAYSIA AND NIGERIA |
1 |
1 |
1 |
163 |
2 |
2 |
3 |
585 |
| Testing Alternative Methods of Varietal Identification Using DNA Fingerprinting: Results of Pilot Studies in Ghana and Zambia |
0 |
1 |
2 |
32 |
0 |
1 |
4 |
94 |
| Testing the Local Enumerator Approach for Farm Level Data Collection: The Case of Natural Resource Management Technology Adoption in India |
0 |
0 |
0 |
14 |
0 |
0 |
0 |
7 |
| The Effect of Quality Signaling and Trust on Willingness to Pay for Potato Planting Material: A Research Study in Kenya |
0 |
0 |
1 |
12 |
1 |
1 |
4 |
21 |
| The Effects of COVID-19 on Food Security in Urban and Rural Mali |
0 |
0 |
0 |
2 |
0 |
2 |
2 |
12 |
| The Quality of Agriculture and Food Security Policy Processes at National Level in Malawi Results from the 2017/18 Malawi Agriculture and Food Security Policy Processes Endline Survey |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
15 |
| The Quality of Agriculture and Food Security Policy Processes at National Level in Malawi. Results from the 2017/18 Malawi Agriculture and Food Security Policy Processes Endline Survey |
0 |
0 |
0 |
18 |
0 |
0 |
1 |
21 |
| The Quality of Agriculture and Food Security Policy Processes at National Level in Malawi: Results from the 2015 Malawi Agriculture and Food Security Policy Processes Baseline Survey |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
33 |
| The Quality of Agriculture and Food Security Policy Processes at the National Level in Malawi Results from the 2017–18 Malawi Agriculture and Food Security Policy Processes End Line Survey |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
14 |
| The Quality of Agriculture and Food Security Policy Processes in Senegal: Results from the 2017-18 Stakeholder Survey |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
| The Role of Legume Technologies in the Agriculture-Nutrition-Food Security Nexus: Evidence from Zambia |
0 |
0 |
0 |
36 |
0 |
1 |
2 |
120 |
| The quality of agriculture and food security policy processes at national level in Malawi: Results from the 2017/18 Malawi Agriculture and Food Security Policy Processes Endline Survey |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
12 |
| Urban and Rural Areas Have Seen Similar Impacts From COVID-19 in Kenya |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
6 |
| What determines the long time lags in farmer’s decision to adopt new rice varieties? Evidence from Lampung, Indonesia |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
10 |
| Total Working Papers |
8 |
16 |
59 |
2,226 |
14 |
39 |
195 |
8,019 |
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