(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ags/iaae21/315134.html
   My bibliography  Save this paper

Social Networks and Agricultural Performance: A Multiplex Analysis of Interactions Among Indian Rice Farmers

Author

Listed:
  • Konda, Bruhan
  • González-Sauri, Mario
  • Cowan, Robin
  • Yashodha, Yashodha
  • Veetill, Prakashan Chellattan
Abstract
Most network studies in agriculture examine uni-dimensional connections between individuals to understand the effect of social networks on outcomes. However, in most real-world scenarios, network members' exchanges happen through multiple relationships and not accounting for such multi-dimensional interconnections may lead to biased estimate of social network effects. This study aims to unravel the consequences of not accounting such multidimensional networks by investigating the individual and joint effects of multiple connections (relationships) that exist among households on agricultural output. We use census data from three villages of Odisha, India that enables us to account for three types of relationships viz. information networks (knowledge sharing), credit networks (resource sharing) and friendship (social bonding) between households. We estimate the social network effect by combining both econometric (IV regression) and network (directed networks) techniques to address the problems of endogeneity. The joint effect of multiple networks is estimated using the multiplex network framework. We find that information flows are crucial to improve agricultural output when networks are accounted individually. However, the joint effect of all three networks using multiplex shows a significantly positive influence, indicating complementarity across relationships. In addition, we found evidence for the mediating role of interpersonal relationships (friendship network) in enhancing gains from the information flow.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Konda, Bruhan & González-Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Veetill, Prakashan Chellattan, 2021. "Social Networks and Agricultural Performance: A Multiplex Analysis of Interactions Among Indian Rice Farmers," 2021 Conference, August 17-31, 2021, Virtual 315134, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae21:315134
    DOI: 10.22004/ag.econ.315134
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/315134/files/0-0_Paper_18865_handout_389_0.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.315134?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    2. Janaiah, Aldas & Xie, Fangming, 2010. "Hybrid rice adoption in India: farm level impacts and challenges," IRRI Technical Bulletins 287643, International Rice Research Institute (IRRI).
    3. Matous, Petr & Todo, Yasuyuki & Ishikawa, Tatsuya, 2014. "Emergence of multiplex mobile phone communication networks across rural areas: An Ethiopian experiment," Network Science, Cambridge University Press, vol. 2(2), pages 162-188, August.
    4. Anne-Maree Dowd & Nadine Marshall & Aysha Fleming & Emma Jakku & Estelle Gaillard & Mark Howden, 2014. "The role of networks in transforming Australian agriculture," Nature Climate Change, Nature, vol. 4(7), pages 558-563, July.
    5. 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.
    6. Marcel Fafchamps, 2006. "Development and social capital," Journal of Development Studies, Taylor & Francis Journals, vol. 42(7), pages 1180-1198.
    7. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Post-Print hal-02945454, HAL.
    8. Katleen Van den Broeck & Stefan Dercon, 2011. "Information Flows and Social Externalities in a Tanzanian Banana Growing Village," Journal of Development Studies, Taylor & Francis Journals, vol. 47(2), pages 231-252.
    9. Tak Wai Chau, 2017. "Identification through Heteroscedasticity: What If We Have the Wrong Form?," Economics Bulletin, AccessEcon, vol. 37(4), pages 2413-2421.
    10. 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.
    11. Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
    12. Kaisa Henttonen & Minna Janhonen & Jan‐Erik Johanson, 2013. "Internal social networks in work teams: structure, knowledge sharing and performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 34(6), pages 616-634, September.
    13. Mahabub HOSSAIN & Manik L. BOSE & Bazlul A. A. MUSTAFI, 2006. "Adoption And Productivity Impact Of Modern Rice Varieties In Bangladesh," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 149-166, June.
    14. Yating Chuang & Laura Schechter, 2015. "Social Networks in Developing Countries," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 451-472, October.
    15. Sharada Weir & John Knight, 2007. "Production Externalities of Education: Evidence from Rural Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 16(1), pages 134-165, January.
    16. M. Shahe Emran & Forhad Shilpi, 2012. "The extent of the market and stages of agricultural specialization," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 1125-1153, August.
    17. Gutmann, Jerg & Padovano, Fabio & Voigt, Stefan, 2020. "Perception vs. experience: Explaining differences in corruption measures using microdata," European Journal of Political Economy, Elsevier, vol. 65(C).
    18. Boris E. Bravo‐Ureta & Mario González‐Flores & William Greene & Daniel Solís, 2021. "Technology and Technical Efficiency Change: Evidence from a Difference in Differences Selectivity Corrected Stochastic Production Frontier Model," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 362-385, January.
    19. 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.
    20. Alejandro Nin-Pratt & Bingxin Yu & Shenggen Fan, 2010. "Comparisons of agricultural productivity growth in China and India," Journal of Productivity Analysis, Springer, vol. 33(3), pages 209-223, June.
    21. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.
    22. Magnan, Nicholas & Spielman, David J. & Lybbert, Travis J. & Gulati, Kajal, 2015. "Leveling with friends: Social networks and Indian farmers' demand for a technology with heterogeneous benefits," Journal of Development Economics, Elsevier, vol. 116(C), pages 223-251.
    23. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    24. Cai, Meng & Wang, Wei & Cui, Ying & Stanley, H. Eugene, 2018. "Multiplex network analysis of employee performance and employee social relationships," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1-12.
    25. Sen, Amartya, 1987. "Reply: Famine and Mr Bowbrick," Food Policy, Elsevier, vol. 12(1), pages 10-14, February.
    26. Lyon, Fergus, 2000. "Trust, Networks and Norms: The Creation of Social Capital in Agricultural Economies in Ghana," World Development, Elsevier, vol. 28(4), pages 663-681, April.
    27. Kumar, Praduman & Mittal, Surabhi, 2006. "Agricultural Productivity Trends in India: Sustainability Issues," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 19(Conferenc).
    28. Fafchamps, Marcel & Lund, Susan, 2003. "Risk-sharing networks in rural Philippines," Journal of Development Economics, Elsevier, vol. 71(2), pages 261-287, August.
    29. M. N. Asadullah & S. Rahman, 2009. "Farm productivity and efficiency in rural Bangladesh: the role of education revisited," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 17-33.
    30. Svetlana Golovina & Sebastian Hess & Jerker Nilsson & Axel Wolz, 2014. "Social capital in Russian agricultural production co-operatives," Post-Communist Economies, Taylor & Francis Journals, vol. 26(4), pages 522-536, December.
    31. Johny, Judit & Wichmann, Bruno & Swallow, Brent M., 2017. "Characterizing social networks and their effects on income diversification in rural Kerala, India," World Development, Elsevier, vol. 94(C), pages 375-392.
    32. Das, S.R., 2012. "Rice in Odisha," IRRI Technical Bulletins 287645, International Rice Research Institute (IRRI).
    33. Christopher F Baum & Arthur Lewbel & Mark E Schaffer & Oleksander Talavera, 2012. "Instrumental variables estimation using heteroskedasticity-based instruments," United Kingdom Stata Users' Group Meetings 2012 07, Stata Users Group.
    34. Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
    35. Pesämaa, Ossi & Hair Jr, Joseph F, 2006. "More than friendship is required : an empirical test of cooperative firm strategies," MPRA Paper 8427, University Library of Munich, Germany, revised 2007.
    36. Manlio De Domenico & Vincenzo Nicosia & Alexandre Arenas & Vito Latora, 2015. "Structural reducibility of multilayer networks," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
    37. Aldas JANAIAH & Mahabub HOSSAIN & Keijiro OTSUKA, 2006. "Productivity Impact Of The Modern Varieties Of Rice In India," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 190-207, June.
    38. Krishna, Anirudh, 2001. "Moving from the Stock of Social Capital to the Flow of Benefits: The Role of Agency," World Development, Elsevier, vol. 29(6), pages 925-943, June.
    39. Kaisa Henttonen & Minna Janhonen & Jan‐Erik Johanson, 2013. "Internal social networks in work teams: structure, knowledge sharing and performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 34(6), pages 616-634, September.
    40. Irina Mozhaeva, 2019. "Who cares? Evidence on informal and formal home care use in Estonia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 136-154.
    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. 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.
    2. Huanxiu GUO & Mary-Françoise RENARD, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," Working Papers 201306, CERDI.
    3. Mary-Françoise Renard & Huanxiu Guo, 2013. "Social activity and collective action for agricultural innovation: a case study of New Rural Reconstruction in China," CERDI Working papers halshs-00802119, HAL.
    4. Carol Newman & Finn Tarp & Katleen Van Den Broeck, 2011. "Social Capital and Savings Behaviour: Evidence from Vietnam," The Institute for International Integration Studies Discussion Paper Series iiisdp351, IIIS.
    5. 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.
    6. Lan, Jing & Liu, Zhen, 2019. "Social network effect on income structure of SLCP participants: Evidence from Baitoutan Village, China," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    7. 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).
    8. Pan He & Marcella Veronesi, 2015. "The Diffusion of Information and Behavior in Social Networks: Renewable Energy Technology Adoption in Rural China," Working Papers 06/2015, University of Verona, Department of Economics.
    9. 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.
    10. Liverpool-Tasie, Lenis Saweda O. & Winter-Nelson, Alex, 2009. "Poverty status and the impact of social networks on smallholder technology adoption in rural Ethiopia," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49357, Agricultural and Applied Economics Association.
    11. Bet Caeyers, 2014. "Peer effects in development programme awareness of vulnerable groups in rural Tanzania," CSAE Working Paper Series 2014-11, Centre for the Study of African Economies, University of Oxford.
    12. Pramila Krishnan & Emanuela Sciubba, 2009. "Links and Architecture in Village Networks," Economic Journal, Royal Economic Society, vol. 119(537), pages 917-949, April.
    13. Huanxiu Guo & Sébastien Marchand, 2013. "Is participatory social learning a performance driver for Chinese smallholder farmers?," Working Papers halshs-00878886, HAL.
    14. Fiona Burlig & Andrew W. Stevens, 2024. "Social networks and technology adoption: Evidence from church mergers in the U.S. Midwest," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1141-1166, May.
    15. Mbugua, M. & Nzuma, J. & Muange, E. & Njuguna, M. & Jaeckering, L., 2018. "Social Networks and Household Dietary Diversity, Evidence from Smallholder Farmers in Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277341, International Association of Agricultural Economists.
    16. Stephane, Victor, 2021. "Hiding behind the veil of ashes: Social capital in the wake of natural disasters," World Development, Elsevier, vol. 145(C).
    17. Adjognon, Serge & Liverpool-Tasie, Lenis Saweda O., 2014. "Spatial Dependence in the Adoption of the Urea Deep Placement for Rice Production in Niger State, Nigeria: A Bayesian Spatial Autoregressive Probit Estimation Approach," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170515, Agricultural and Applied Economics Association.
    18. Fikret Adaman & Oya Pinar Ardic & Didem Tuzemen, 2006. "Network Effects in Risk Sharing and Credit Market Access: Evidence from Istanbul," Working Papers 2006/17, Bogazici University, Department of Economics.
    19. Mekonnen Daniel Ayalew & Gerber Nicolas & Matz Julia Anna, 2016. "Working Paper 235 - Social Networks, Agricultural Innovations, and Farm Productivity in Ethiopia," Working Paper Series 2330, African Development Bank.

    More about this item

    Keywords

    Agribusiness; Crop Production/Industries;

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

    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:iaae21:315134. 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.