The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Microeconomics of Technology Adoption
Open accessAbstract
Differences in technology levels across countries account for a large component of the differences in wages and per-capita GDP across countries worldwide. This article reviews micro studies of the adoption of new technologies and the use of inputs complementary with new technologies to shed light on the barriers to technology diffusion in low-income countries. Among the factors examined affecting decisions pertaining to technology choice and input allocations are the financial and nonfinancial returns to adoption, one's own learning and social learning, technological externalities, scale economies, schooling, credit constraints, risk and incomplete insurance, and departures from behavioral rules implied by simple models of rationality.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This could be due to time delays in the effect of extension participation as the herd calving rate is determined by complex practices that do not give an immediate and observable return and require more learning time (Foster and Rosenzweig, 2010;Kuehne et al., 2017;Montes de Oca Munguia and Llewellyn, 2020).”
From Extension and management pathways for enhanced farm sustainability: evidence from Irish dairy farms (2023) · cites this paper as Foster and Rosenzweig, 2010
In the citing paper
“This could be because of time delays in learning about new practices, implementing adjustments in farm management and observing changes in farm performance (Chavas and Nauges, 2020;Foster and Rosenzweig, 2010;Weersink and Fulton, 2020).”
From Extension and management pathways for enhanced farm sustainability: evidence from Irish dairy farms (2023) · cites this paper as Foster and Rosenzweig, 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Identification of Endogenous Social Effects: The Reflection Problem
Manski, C. F. (1993) · The Review of Economic Studies · doi:10.2307/2298123 · Cited by 6,209
Adoption of Agricultural Innovations in Developing Countries: A Survey
Feder, G., Just, R. E., & Zilberman, D. (1985) · Economic Development and Cultural Change · doi:10.1086/451461 · Cited by 3,482
Hybrid Corn: An Exploration in the Economics of Technological Change
Griliches, Z. (1957) · Econometrica · doi:10.2307/1905380 · Cited by 3,363
Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities
Miguel, E., & Kremer, M. (2004) · Econometrica · doi:10.1111/j.1468-0262.2004.00481.x · Cited by 2,268
Learning about a New Technology: Pineapple in Ghana
Conley, T. G., & Udry, C. R. (2010) · American Economic Review · doi:10.1257/aer.100.1.35 · Cited by 2,180
Learning by doing and learning from others: Human capital and technical change in agriculture
Foster, A. D., & Rosenzweig, M. R. (1995) · Journal of Political Economy · doi:10.1086/601447 · Cited by 2,038
Self-citationSocial Networks and Technology Adoption in Northern Mozambique
Bandiera, O., & Imran Rasul, A. (2006) · The Economic Journal · doi:10.1111/j.1468-0297.2006.01115.x · Cited by 1,366
Duflo, E., & Saez, E. (2003) · The Quarterly Journal of Economics · doi:10.1162/00335530360698432 · Cited by 1,229
Barriers to Technology Adoption and Development
Parente, S. L., & Prescott, E. C. (1991) · Journal of Political Economy · doi:10.1086/261933 · Cited by 1,224
Wealth, Weather Risk and the Composition and Profitability of Agricultural Investments
Rosenzweig, M. R., & Binswanger, H. P. (1993) · The Economic Journal · doi:10.2307/2234337 · Cited by 1,177
Self-citation
Research works printed but not linked: 10
- Besley T, 1993, AER Pap. Proc., 83, 396
- Bhalla SS. 1979. Farm size, productivity, and technical change in Indian agriculture. In Agrarian Structure and Productivity in Developing Countries, ed. R Berry, WCline, pp. 141–93. Baltimore: Johns Hopkins Univ. Press
- Foster A, 1996, Am. Econ. Rev., 86, 931
- Foster A, 2009, Should poor farmers use more inputs?
- Lleras-Muney A, 2006, Ann. Econ. Stat., 79
- Miyata S, 2007, Learning, risk, and credit in households' new technology investments: the case of aquaculture in rural Indonesia
- Morduch J, 1990, Risk, production, and saving: theory and evidence from Indian households
- Nelson RR, 1966, Am. Econ. Rev., 56, 69
- Rosenzweig MR, 1995, Amer. Econ. Rev. Pap. Proc., 85, 153
- 10.2139/ssrn.1539670 · DOI
Cited by
Sorted by citations
Items 201–300 of 1,001
Seasonal, annual, and spatial variation in cereal prices in Sub-Saharan Africa
Bonilla, C., Chamberlin, J., & Hijmans, R. J. (2020) · Global Food Security · doi:10.1016/j.gfs.2020.100438 · Cited by 47
Kassa, Y., Giziew, A., & Ayalew, D. (2021) · CABI Agriculture and Bioscience · doi:10.1186/s43170-021-00045-8 · Cited by 47
Jena, P. R., & Tanti, P. C. (2023) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2023.922038 · Cited by 46
Big Constraints or Small Returns? Explaining Nonadoption of Hybrid Maize in Tanzania
Kathage, J., Kassie, M. B., Shiferaw, B. A., & Qaim, M. (2015) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/ppv009 · Cited by 46
Human-Robot Interactions in Investment Decisions
Milo Bianchi, Y., & Brière, M. (2024) · Management Science · doi:10.1287/mnsc.2022.03886 · Cited by 45
Livestock asset transfers with and without training: Evidence from Rwanda
Argent, J., Augsburg, B., & Imran Rasul, A. (2014) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2014.07.008 · Cited by 45
Owolabi, E. O., Goon, D. T., Adeniyi, O. V., & Seekoe, E. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014349 · Cited by 45
Reconciling yield gains in agronomic trials with returns under African smallholder conditions
Laajaj, R., Macours, K., Masso, C., Thuita, M., & Vanlauwe, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-71155-y · Cited by 45
Birhanu, M. Y., Bruno, J. E., Alemayehu, T., Esatu, W., Geremew, K., Yemane, T., Kebede, F. G., & Dessie, T. (2022) · International Journal of Agricultural Sustainability · doi:10.1080/14735903.2022.2041235 · Cited by 45
Zilberman, D., Reardon, T., Silver, J., Lu, L., & Heiman, A. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115880119 · Cited by 45
Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems
Bergman, P. (2019) · Education Finance and Policy · doi:10.1162/edfp_a_00291 · Cited by 44
Mendes, J. D. J., Carrer, M. J., Vinholis, M. D. M. B., & Filho, H. M. D. S. (2023) · Journal of Agribusiness in Developing and Emerging Economies · doi:10.1108/jadee-09-2022-0194 · Cited by 44
Tong, Q., Yuan, X., Zhang, L., Zhang, J., & Li, W. (2023) · Climate Risk Management · doi:10.1016/j.crm.2023.100583 · Cited by 44
Melons as Lemons: Asymmetric Information, Consumer Learning and Seller Reputation
Bai, J. (2025) · The Review of Economic Studies · doi:10.1093/restud/rdaf006 · Cited by 44
Anticipating complexity in the deployment of gene drive insects in agriculture
Baltzegar, J., Barnes, J. C., Elsensohn, J. E., Gutzmann, N., Jones, M. S., King, S., & Sudweeks, J. D. (2017) · Journal of Responsible Innovation · doi:10.1080/23299460.2017.1407910 · Cited by 44
Potential contributions of market-systems development initiatives for building climate resilience
Kuhl, L. (2018) · World Development · doi:10.1016/j.worlddev.2018.02.036 · Cited by 44
Lu, H., Chen, Y., Huan, H., & Duan, N. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.901097 · Cited by 44
Wu, H., Li, J., & Ge, Y. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122037 · Cited by 44
The Value of Advice: Evidence from Mobile Phone-Based Agricultural ExtensionPreprint
Cole, S. A., & Fernando, A. N. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2179008 · Cited by 44
Sustainability transition for Indian agriculture
D., B. P. G., Murari, K. K., Patnaik, U., Bahinipati, C. S., & Sasidharan, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-34092-0 · Cited by 43
Kimaro, D. J., Nyangarika, A. M., & Kivevele, T. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40726 · Cited by 43
Salazar, C., Jaime, M., Pinto, C., & Acuña, A. (2019) · Australian Journal of Agricultural and Resource Economics · doi:10.1111/1467-8489.12307 · Cited by 43
Evaluating the impact of market-assisted land reform in Brazil
Fitz, D. (2017) · World Development · doi:10.1016/j.worlddev.2017.10.007 · Cited by 42
New exports from emerging markets: Do followers benefit from pioneers?
Wagner, R. A., & Zahler, A. (2014) · Journal of Development Economics · doi:10.1016/j.jdeveco.2014.12.002 · Cited by 42
Miller, G., & Mobarak, A. M. (2011) · Cited by 42
Reardon, T., Lu, L., & Zilberman, D. (2017) · Food Policy · doi:10.1016/j.foodpol.2017.10.003 · Cited by 42
Tractor vs. animal: Rural reforms and technology adoption in China
Chen, S., & Lan, X. (2020) · Journal of Development Economics · doi:10.1016/j.jdeveco.2020.102536 · Cited by 42
Speaking from experience: Preferences for cooking with biogas in rural India
Talevi, M., Pattanayak, S. K., Das, I., Lewis, J., & Singha, A. (2022) · Energy Economics · doi:10.1016/j.eneco.2021.105796 · Cited by 42
Grimm, M., & Luck, N. (2022) · Ecological Economics · doi:10.1016/j.ecolecon.2022.107727 · Cited by 42
Social networks, heterogeneity, and adoption of technologies: Evidence from India
Varshney, D., Mishra, A. K., Joshi, P. K., & Roy, D. (2022) · Food Policy · doi:10.1016/j.foodpol.2022.102360 · Cited by 41
Ali, D. A., Bowen, D., & Deininger, K. (2019) · The Journal of Development Studies · doi:10.1080/00220388.2019.1666978 · Cited by 41
The Speed of Innovation Diffusion in Social Networks
Arieli, I., Babichenko, Y., Peretz, R., & Young, H. P. (2020) · Econometrica · doi:10.3982/ecta17007 · Cited by 41
Dams: Effects of Hydrological Infrastructure on Development
Dillon, A., & Fishman, R. (2019) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-100518-093913 · Cited by 41
Sanya, L. N., Sseguya, H., Kyazze, F. B., Diiro, G., & Nakazi, F. (2020) · Agriculture & Food Security · doi:10.1186/s40066-020-00257-7 · Cited by 41
Celebrating 40 years of panel data analysis: Past, present and future
Sarafidis, V., & Wansbeek, T. J. (2020) · Journal of Econometrics · doi:10.1016/j.jeconom.2020.06.001 · Cited by 41
What’s Your Identification Strategy? Innovation in Corporate Finance Research
Bowen, D. E., Frésard, L., & Taillard, J. P. (2016) · Management Science · doi:10.1287/mnsc.2016.2437 · Cited by 40
Access to information affects the adoption of integrated systems by farmers in Brazil
Perosa, B. B., Newton, P., & Carrer, M. J. (2021) · Land Use Policy · doi:10.1016/j.landusepol.2021.105459 · Cited by 40
Khanna, M., Swinton, S. M., & Messer, K. D. (2017) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/ppx055 · Cited by 40
Information and the Acquisition of Social Network ConnectionsPreprint
Barsbai, T., Licuanan, V., Steinmayr, A., Tiongson, E. R., & Yang, D. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3626847 · Cited by 40
Assessing the Energy-Efficiency GapPreprint
Gerarden, T., Newell, R. G., & Stavins, R. N. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2599532 · Cited by 40
Zou, J., Shen, L., Wang, F., Tang, H., & Zhou, Z. (2024) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2024.07.016 · Cited by 39
Gilligan, D. (2012) · CESifo Economic Studies · doi:10.1093/cesifo/ifs020 · Cited by 39
Jordan, C., & Speelman, S. (2020) · Agricultural Water Management · doi:10.1016/j.agwat.2020.106147 · Cited by 39
Producers, consumers, and value chains in low- and middle-income countries
Bellemare, M. F., Bloem, J. R., & Lim, S. (2022) · Handbook of agricultural economics · doi:10.1016/bs.hesagr.2022.03.005 · Cited by 39
Smallholder Participation in Agricultural Value Chains: Comparative Evidence from Three ContinentsPreprint
Barrett, C. B., Bachke, M. E., Bellemare, M. F., Michelson, H., Narayanan, S., & Walker, T. F. (2011) · SSRN Electronic Journal · doi:10.2139/ssrn.1733942 · Cited by 39
Trait‐based Adoption Models Using Ex‐Ante and Ex‐Post Approaches
Useche, P., Barham, B. L., & Foltz, J. D. (2012) · American Journal of Agricultural Economics · doi:10.1093/ajae/aas044 · Cited by 38
Kos, D., Lensink, R., & Meuwissen, M. (2022) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2022.10.027 · Cited by 38
Deveci, M. (2023) · Soft Computing · doi:10.1007/s00500-023-08906-2 · Cited by 38
RetractedDesigning Impact Evaluations for Agricultural Projects
Winters, P., Salazar, L., & Maffioli, A. (2010) · doi:10.18235/0008595 · Cited by 38
Learning from Others' Outcomes
Wolitzky, A. (2018) · American Economic Review · doi:10.1257/aer.20170914 · Cited by 37
Peer Effects in Product Adoption
Bailey, M., Johnston, D., Kuchler, T., Stroebel, J., & Wong, A. (2019) · National Bureau of Economic Research · doi:10.3386/w25843 · Cited by 37
Improved Dairy Cows in Uganda: Pathways to Poverty Alleviation and Improved Child Nutrition
Kabunga, N. S. (2014) · European Journal of Nutrition & Food Safety · doi:10.9734/ejnfs/2015/21146 · Cited by 36
Energy Efficiency and Electricity Reliability
Carranza, E., & Meeks, R. C. (2020) · The Review of Economics and Statistics · doi:10.1162/rest_a_00912 · Cited by 36
Asif, A. S., Uddin, M. N., Dev, D. S., & Miah, M. A. M. (2017) · Journal of Agricultural Informatics · doi:10.17700/jai.2017.8.2.376 · Cited by 36
Learning to Disagree in a Game of Experimentation
Bonatti, A., & Hörner, J. (2015) · Journal of Economic Theory · doi:10.1016/j.jet.2017.02.007 · Cited by 36
Firm-Level Upgrading in Developing Countries
Verhoogen, E. (2021) · National Bureau of Economic Research · doi:10.3386/w29461 · Cited by 36
The widespread adoption of large language model-assisted writing across society
Liang, W., Zhang, Y., Codreanu, M., Wang, J., Cao, H., & Zou, J. (2025) · Patterns · doi:10.1016/j.patter.2025.101366 · Cited by 35
Ahmed, H., Ekman, L., & Lind, N. (2023) · Journal of Dairy Science · doi:10.3168/jds.2023-23861 · Cited by 35
Social capital and resilience to drought among smallholding farmers in Sri Lanka
Carrico, A. R., Truelove, H. B., & Williams, N. E. (2019) · Climatic Change · doi:10.1007/s10584-019-02449-y · Cited by 35
Supply Chain Design and Adoption of Indivisible Technology
Lu, L., Reardon, T., & Zilberman, D. (2016) · American Journal of Agricultural Economics · doi:10.1093/ajae/aaw076 · Cited by 35
Rao, S., Chen, F., Hu, W., Gao, F., Huang, J., & Yi, H. (2023) · Food Control · doi:10.1016/j.foodcont.2023.109827 · Cited by 34
Kirungi, D., Senyange, B., Wesana, J., Sseguya, H., Gellynck, X., & Steur, H. D. (2023) · Cogent Food & Agriculture · doi:10.1080/23311932.2023.2282236 · Cited by 34
Channa, H., Ricker-Gilbert, J. E., Groote, H. D., & Bauchet, J. (2021) · Agricultural Economics · doi:10.1111/agec.12651 · Cited by 34
Veettil, P. C., Raghu, P. T., & Ashok, A. (2020) · Environment and Development Economics · doi:10.1017/s1355770x20000212 · Cited by 34
Natkhov, T., & Vasilenok, N. (2021) · Explorations in Economic History · doi:10.1016/j.eeh.2021.101399 · Cited by 34
Saengavut, V., & Jirasatthumb, N. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06633 · Cited by 34
Chen, X., & Liu, T. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20032323 · Cited by 34
Aspirations, risk preferences, and investments in agricultural technologies
Villacis, A. H., Bloem, J. R., & Mishra, A. K. (2023) · Food Policy · doi:10.1016/j.foodpol.2023.102477 · Cited by 35
Delavallade, C. (2014) · Health Economics · doi:10.1002/hec.3337 · Cited by 33
Marketing and Technology Adoption and Diffusion
Heiman, A., Ferguson, J., & Zilberman, D. (2020) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13005 · Cited by 33
Li, X., Chertow, M. R., Guo, S., Johnson, E., & Jiang, D. (2020) · Waste Management · doi:10.1016/j.wasman.2020.08.056 · Cited by 33
Factors enhancing agricultural productivity under innovation technology: Insights from Cameroon
Andrianarison, F., Kamdem, C. B., & Kameni, B. C. (2021) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2021.1937816 · Cited by 33
Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference
Ambali, O. I., Areal, F., & Georgantzı́s, N. (2021) · Agriculture · doi:10.3390/agriculture11080691 · Cited by 33
Mwaura, G. G., Kiboi, M., Mugwe, J. N., Nicolay, G. L., Bett, E., Muriuki, A. W., Musafiri, C. M., & Ngetich, F. K. (2021) · Environmental Challenges · doi:10.1016/j.envc.2021.100282 · Cited by 33
Chen, Z., Li, X., Xia, X., & Zhang, J. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.139880 · Cited by 33
Crane‐Droesch, A. (2017) · American Journal of Agricultural Economics · doi:10.1093/ajae/aax090 · Cited by 33
Climate change and adoption of sustainable land management practices in the Niger basin of Benin
Lokonon, B. O. K., & Mbaye, A. A. (2018) · Natural Resources Forum · doi:10.1111/1477-8947.12142 · Cited by 33
Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities
Naghizadeh, P., & Liu, M. (2017) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2017.2755003 · Cited by 33
An Empirical Examination of the Dynamics of Varietal Turnover in Indian WheatPreprint
Krishna, V. V., Spielman, D. J., Veettil, P. C., & Ghimire, S. (2014) · SSRN Electronic Journal · doi:10.2139/ssrn.2417342 · Cited by 33
Regulating Transformative Technologies
Acemoğlu, D., & Lensman, T. (2023) · National Bureau of Economic Research · doi:10.3386/w31461 · Cited by 33
Representation and Extrapolation: Evidence from Clinical Trials
Alsan, M. M., Durvasula, M., Gupta, H., Schwartzstein, J., & Williams, H. (2023) · The Quarterly Journal of Economics · doi:10.1093/qje/qjad036 · Cited by 32
Maloney, W. F., & Caicedo, F. V. (2022) · Journal of the European Economic Association · doi:10.1093/jeea/jvac014 · Cited by 32
Lybbert, T. J., Magnan, N., Spielman, D. J., Bhargava, A. K., & Gulati, K. (2017) · Economic Development and Cultural Change · doi:10.1086/695284 · Cited by 32
Kasirye, I., & Ibrahim, K. (2013) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.151979 · Cited by 32
Incentivizing and nudging farmers to spread information: Experimental evidence from Ethiopia
Balew, S., Bulte, E., Abro, Z., & Kassie, M. B. (2022) · American Journal of Agricultural Economics · doi:10.1111/ajae.12346 · Cited by 31
Georgopoulos, V. P., Gkikas, D. C., & Theodorou, J. Α. (2023) · Sustainability · doi:10.3390/su152316385 · Cited by 31
Simutowe, E., Ngoma, H., Manyanga, M., Silva, . V., Baudron, F., Nyagumbo, I., Kalala, K., Habeenzu, M., & Thierfelder, C. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26460 · Cited by 32
SME digital transformation and the COVID-19 pandemic: a case study of a hard-hit metropolitan area
Holl, A., & Rama, R. (2024) · Science and Public Policy · doi:10.1093/scipol/scae023 · Cited by 31
Irrigation, Technical Efficiency, and Farm Size: The Case of Brazil
Morais, G. A. D. S., Silva, F. F., de Freitas, C. O., & Braga, M. J. (2021) · Sustainability · doi:10.3390/su13031132 · Cited by 31
Labour, profitability and gender impacts of adopting row planting in Ethiopia
Vandercasteelen, J., Dereje, M., Minten, B., & Taffesse, A. S. (2018) · European Review of Agricultural Economics · doi:10.1093/erae/jby001 · Cited by 31
Jeuland, M., Pattanayak, S. K., Tan‐Soo, J., & Usmani, F. (2019) · Journal of the Association of Environmental and Resource Economists · doi:10.1086/706937 · Cited by 31
Seasonal Migration and Risk Aversion
Bryan, G., Chowdhury, S., & Mobarak, A. M. (2011) · eCommons (Cornell University) · Cited by 31
Human + AI in accounting: Early evidence from the field
Choi, J. H., & Xie, C. L. (2026) · Journal of Accounting Research · doi:10.1111/1475-679x.70052 · Cited by 30
Social networks and technology adoption: Evidence from church mergers in the U.S. Midwest
Burlig, F., & Stevens, A. W. (2023) · American Journal of Agricultural Economics · doi:10.1111/ajae.12429 · Cited by 30
Urpelainen, J., & Yoon, S. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.07.036 · Cited by 30
Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data
Mishra, K., Sam, A. G., Diiro, G., & Miranda, M. J. (2020) · Agricultural Economics · doi:10.1111/agec.12596 · Cited by 30
Ragasa, C., Mzungu, D., Kalagho, K., & Kazembe, C. (2021) · Journal of Development Effectiveness · doi:10.1080/19439342.2020.1853793 · Cited by 30
Can plant clinics enhance judicious use of pesticides? Evidence from Rwanda and Zambia
Tambo, J. A., Romney, D. L., Mugambi, I., Mbugua, F., Bundi, M., Uzayisenga, B., Matimelo, M., & Ndhlovu, M. (2021) · Food Policy · doi:10.1016/j.foodpol.2021.102073 · Cited by 30
Seeking the treated: The impact of mobile extension on farmer information exchange in India
Fernando, A. N. (2021) · Journal of Development Economics · doi:10.1016/j.jdeveco.2021.102713 · Cited by 30
Oyetunde‐Usman, Z. (2022) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.761498 · Cited by 30
Metadata
- Authors
- Foster, A. D., & Rosenzweig, M. R.
- Affiliations
- Brown University (US)
- Yale University (US)
- Venue
- Annual Review of Economics
- Publisher
- Annual Reviews
- Published
- 2010-09-04
- Volume
- 2
- Issue
- 1
- Pages
- 395-424
- ISSN
- 1941-1383 (ISSN-L)
- 1941-1391
- PMC
- PMC3876794
- OpenAlex
- W2117834723
- Cited by
- 1,055
- References
- 45
- Citations by year
- 2026: 97 · 2025: 93 · 2024: 86 · 2023: 96 · 2022: 85 · 2021: 86 · 2020: 76 · 2019: 79 · 2018: 76 · 2017: 77 · 2016: 46 · 2015: 46 · 2014: 41 · 2013: 31 · 2012: 23
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Economics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24HD041020)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Keywords
- technology adoption, technology diffusion, low-income countries, complementary inputs, social learning, technological externalities, economies of scale, school education, credit constraints, behavioral economics, wage differentials, GDP per capita
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review