IDEAS home Printed from https://ideas.repec.org/p/ags/iaae21/315123.html
   My bibliography  Save this paper

Assessing Peer Effects and Subsidy Impacts in Technology Adoption: Application to Grazing Management Choices with Farm Survey Data

Author

Listed:
  • Che, Yuyuan
  • Feng, Hongli
  • Hennessy, David

Abstract

No abstract is available for this item.

Suggested Citation

  • Che, Yuyuan & Feng, Hongli & Hennessy, David, 2021. "Assessing Peer Effects and Subsidy Impacts in Technology Adoption: Application to Grazing Management Choices with Farm Survey Data," 2021 Conference, August 17-31, 2021, Virtual 315123, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae21:315123
    DOI: 10.22004/ag.econ.315123
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/315123/files/0-0_Paper_18822_handout_377_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.315123?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gillespie, Jeffrey M. & Wyatt, Wayne & Venuto, Brad & Blouin, David & Boucher, Robert, 2008. "The Roles of Labor and Profitability in Choosing a Grazing Strategy for Beef Production in the U.S. Gulf Coast Region," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 301-313, April.
    2. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    3. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    4. Pascaline Dupas, 2014. "Short‐Run Subsidies and Long‐Run Adoption of New Health Products: Evidence From a Field Experiment," Econometrica, Econometric Society, vol. 82(1), pages 197-228, January.
    5. Milgrom, Paul & Roberts, John, 1990. "Rationalizability, Learning, and Equilibrium in Games with Strategic Complementarities," Econometrica, Econometric Society, vol. 58(6), pages 1255-1277, November.
    6. Kristen Nelson & Rachel Brummel & Nicholas Jordan & Steven Manson, 2014. "Social networks in complex human and natural systems: the case of rotational grazing, weak ties, and eastern US dairy landscapes," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(2), pages 245-259, June.
    7. Marc Rysman, 2019. "The reflection problem in network effect estimation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 153-158, January.
    8. Cowan, Robin & Gunby, Philip, 1996. "Sprayed to Death: Path Dependence, Lock-In and Pest Control Strategies," Economic Journal, Royal Economic Society, vol. 106(436), pages 521-542, May.
    9. Beugnot, Julie & Fortin, Bernard & Lacroix, Guy & Villeval, Marie Claire, 2019. "Gender and peer effects on performance in social networks," European Economic Review, Elsevier, vol. 113(C), pages 207-224.
    10. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    11. Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 2000. "Network Effects and Welfare Cultures," The Quarterly Journal of Economics, Oxford University Press, vol. 115(3), pages 1019-1055.
    12. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    13. Jing Cai & Alain de Janvry & Elisabeth Sadoulet, 2020. "Subsidy Policies and Insurance Demand," American Economic Review, American Economic Association, vol. 110(8), pages 2422-2453, August.
    14. Michael Carter & Rachid Laajaj & Dean Yang, 2021. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 206-229, April.
    15. Windh, Jessica L. & Ritten, John P. & Derner, Justin D. & Paisley, Steven I. & Lee, Brian P., 2019. "Economic cost analysis of continuous-season-long versus rotational grazing systems," Western Economics Forum, Western Agricultural Economics Association, vol. 17(1), April.
    16. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    17. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    18. Emily Breza & Arun G. Chandrasekhar, 2019. "Social Networks, Reputation, and Commitment: Evidence From a Savings Monitors Experiment," Econometrica, Econometric Society, vol. 87(1), pages 175-216, January.
    19. Thomas J. Holmes & Sanghoon Lee, 2012. "Economies of Density versus Natural Advantage: Crop Choice on the Back Forty," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 1-19, February.
    20. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    21. Omar M. G. Keshk, 2003. "CDSIMEQ: A program to implement two-stage probit least squares," Stata Journal, StataCorp LP, vol. 3(2), pages 157-167, June.
    22. Teague, W.R. & Kreuter, U.P. & Grant, W.E. & Diaz-Solis, H. & Kothmann, M.M., 2009. "Economic implications of maintaining rangeland ecosystem health in a semi-arid savanna," Ecological Economics, Elsevier, vol. 68(5), pages 1417-1429, March.
    23. Arora, Gaurav & Feng, Hongli & Hennessy, David A. & Loesch, Charles R. & Kvas, Susan, 2021. "The impact of production network economies on spatially-contiguous conservation– Theoretical model with evidence from the U.S. Prairie Pothole Region," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    24. Marcello Graziano & Kenneth Gillingham, 2015. "Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 815-839.
    25. Nicholas Epley & Thomas Gilovich, 2016. "The Mechanics of Motivated Reasoning," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 133-140, Summer.
    26. Kenneth A. Baerenklau, 2005. "Toward an Understanding of Technology Adoption: Risk, Learning, and Neighborhood Effects," Land Economics, University of Wisconsin Press, vol. 81(1).
    27. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    28. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    29. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2018. "Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 564(7735), pages 249-253, December.
    30. Brian Roe & Elena G. Irwin & Jeff S. Sharp, 2002. "Pigs in Space: Modeling the Spatial Structure of Hog Production in Traditional and Nontraditional Production Regions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 259-278.
    31. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    32. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
    33. Park, Jong-Yoon & Ale, Srinivasulu & Teague, W. Richard, 2017. "Simulated water quality effects of alternate grazing management practices at the ranch and watershed scales," Ecological Modelling, Elsevier, vol. 360(C), pages 1-13.
    34. Sampson, Gabriel & Perry, Edward & Hendricks, Nathan P., 2017. "The Role of Peer Effects in Resource Extraction - The Case of Kansas Groundwater," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258286, Agricultural and Applied Economics Association.
    35. Gabriel S Sampson & Edward D Perry, 2019. "The Role of Peer Effects in Natural Resource Appropriation – The Case of Groundwater," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(1), pages 154-171.
    36. Wang, Tong & Richard Teague, W. & Park, Seong C. & Bevers, Stan, 2018. "Evaluating long-term economic and ecological consequences of continuous and multi-paddock grazing - a modeling approach," Agricultural Systems, Elsevier, vol. 165(C), pages 197-207.
    37. Kolady, Deepthi & Zhang, Weiwei & Wang, Tong & Ulrich-Schad, Jessica, 2021. "Spatially Mediated Peer Effects in the Adoption of Conservation Agriculture Practices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 53(1), pages 1-20, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    2. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    3. Fernando, A. Nilesh, 2021. "Seeking the treated: The impact of mobile extension on farmer information exchange in India," Journal of Development Economics, Elsevier, vol. 153(C).
    4. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2015. "The Impact of Training on Technology Adoption and Productivity of Rice Farming in Tanzania: Is Farmer-to-Farmer Extension Effective?," Working Papers 90, JICA Research Institute.
    5. Gabriel S. Sampson & Edward D. Perry, 2019. "Peer effects in the diffusion of water‐saving agricultural technologies," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 693-706, November.
    6. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2018. "Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania," World Development, Elsevier, vol. 105(C), pages 336-351.
    7. Tisorn Songsermsawas & Kathy Baylis & Ashwini Chhatre & Hope Michelson, 2014. "Can Peers Improve Agricultural Productivity?," CESifo Working Paper Series 4958, CESifo.
    8. Che, Yuyuan & Feng, Hongli & Hennessy, David A., 2023. "Will adoption occur if a practice is win-win for profit and the environment? An application to a rancher's grazing practice choices," Ecological Economics, Elsevier, vol. 209(C).
    9. Doris Läpple & Garth Holloway & Donald J Lacombe & Cathal O’Donoghue, 2017. "Sustainable technology adoption: a spatial analysis of the Irish Dairy Sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 810-835.
    10. Mekonnen, Daniel Ayalew & Gerber, Nicolas & Matz, Julia Anna, 2018. "Gendered Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," World Development, Elsevier, vol. 105(C), pages 321-335.
    11. Feng, Yao, 2011. "Local spillovers and learning from neighbors: Evidence from durable adoptions in rural China," MPRA Paper 33924, University Library of Munich, Germany.
    12. Muzhe Yang & Hsien-Ming Lien & Shin-Yi Chou, 2014. "Is There A Physician Peer Effect? Evidence From New Drug Prescriptions," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 116-137, January.
    13. Christopher B. Busch & Colin Vance, 2011. "The Diffusion of Cattle Ranching and Deforestation: Prospects for a Hollow Frontier in Mexico’s Yucatán," Land Economics, University of Wisconsin Press, vol. 87(4), pages 682-698.
    14. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    15. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    16. Kondylis, Florence & Mueller, Valerie, 2012. "Seeing is Believing? Evidence from a Demonstration Plot Experiment in Mozambique:," MSSP working papers 1, International Food Policy Research Institute (IFPRI).
    17. Chowdhury, Shyamal & Satish, Varun & Sulaiman, Munshi & Sun, Yi, 2022. "Sooner rather than later: Social networks and technology adoption," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 466-482.
    18. Wang, Honglin & Yu, Fan & Reardon, Thomas & Huang, Jikun & Rozelle, Scott, 2013. "Social learning and parameter uncertainty in irreversible investments: Evidence from greenhouse adoption in northern China," China Economic Review, Elsevier, vol. 27(C), pages 104-120.
    19. Mary Thuo & Alexandra Bell & Boris Bravo-Ureta & Michée Lachaud & David Okello & Evelyn Okoko & Nelson Kidula & Carl Deom & Naveen Puppala, 2014. "Effects of social network factors on information acquisition and adoption of improved groundnut varieties: the case of Uganda and Kenya," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(3), pages 339-353, September.

    More about this item

    Keywords

    Research and Development/Tech Change/Emerging Technologies; Livestock Production/Industries;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae21:315123. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.