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Capturing social network effects in technology adoption: the spatial diffusion of hybrid rice in Bangladesh

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  • Patrick S. Ward
  • Valerien O. Pede

Abstract

type="main" xml:id="ajar12058-abs-0001"> In this paper, we demonstrate a method for measuring the effect of spatial interactions on the use of hybrid rice using a unique, nationally representative data set from Bangladesh. In order to circumvent the ‘reflection problem’, we consider an identification and estimation strategy employing a generalised spatial two-stage least squares procedure with near-ideal instruments to effectively identify causal influences. Results indicate that neighbour effects are a significant determinant of hybrid rice use. Further, using two specifications of spatial network systems, one based on same-village membership (irrespective of distance) and the other based on geographical distance (irrespective of village boundary), we demonstrate that a network including nearby hybrid rice adopters is more influential than a network of more distant hybrid rice adopters, and merely having a network with a large number of adopters may be relatively meaningless if they are far away. Furthermore, we show that these network effects are much more important to hybrid cultivation than interactions with agricultural extension officers.

Suggested Citation

  • Patrick S. Ward & Valerien O. Pede, 2015. "Capturing social network effects in technology adoption: the spatial diffusion of hybrid rice in Bangladesh," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 225-241, April.
    • Handle: RePEc:bla:ajarec:v:59:y:2015:i:2:p:225-241
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    File URL: http://hdl.handle.net/10.1111/ajar.2015.59.issue-2
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    1. Jiabin Xu & Zhaoda Cui & Tianyi Wang & Jingjing Wang & Zhigang Yu & Cuixia Li, 2023. "Influence of Agricultural Technology Extension and Social Networks on Chinese Farmers’ Adoption of Conservation Tillage Technology," Land, MDPI, vol. 12(6), pages 1-23, June.
    2. Jinhua Xie & Gangqiao Yang & Ge Wang & Shuoyan He, 2024. "How does social capital affect farmers’ environment-friendly technology adoption behavior? A case study in Hubei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18361-18384, July.
    3. 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.
    4. Martey, Edward & Etwire, Prince M. & Mockshell, Jonathan & Armah, Ralph & Akorsikumah, Eli, 2023. "Ecological shocks and children’s school attendance and farm work in Ghana," World Development Perspectives, Elsevier, vol. 31(C).
    5. Herrington, Caitlin L. & Maredia, Mywish & Ortega, David L. & Taleon, Victor & Birol, Ekin & Sarkar, Abdur Rouf & Rahaman, Shajedur, 2021. "Rural Bangladeshi Consumers' Willingness to Pay for Rice with Improved Nutrition via Zinc Biofortified Rice and Decreased Milling Practices," 2021 Conference, August 17-31, 2021, Virtual 315079, International Association of Agricultural Economists.
    6. Faruque-As-Sunny & Zuhui Huang & Taonarufaro Tinaye Pemberai Karimanzira, 2018. "Investigating Key Factors Influencing Farming Decisions Based on Soil Testing and Fertilizer Recommendation Facilities (STFRF)—A Case Study on Rural Bangladesh," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    7. Gatto, Marcel & Mgomezulu, Wisdom R. & Okello, Julius J. & Pradel, Willy & Kwikiriza, Norman & Hareau, Guy G., 2023. "Direct and spillover effects of biofortified sweetpotato interventions on sustained adoption in Malawi," Food Policy, Elsevier, vol. 121(C).
    8. Pede, Valerien O. & McKinley, Justin & Singbo, Alphonse & Kajisa, Kei, 2015. "Spatial Dependency of Technical Efficiency in Rice Farming: The Case of Bohol, Philippines," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205456, Agricultural and Applied Economics Association.
    9. Yongfeng Tan & Apurbo Sarkar & Airin Rahman & Lu Qian & Waqar Hussain Memon & Zharkyn Magzhan, 2021. "Does External Shock Influence Farmer’s Adoption of Modern Irrigation Technology?—A Case of Gansu Province, China," Land, MDPI, vol. 10(8), pages 1-16, August.
    10. Hasibuan, Abdul Muis & Gregg, Daniel & Stringer, Randy, 2022. "Risk preferences, intra-household dynamics and spatial effects on chemical inputs use: Case of small-scale citrus farmers in Indonesia," Land Use Policy, Elsevier, vol. 122(C).
    11. 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.
    12. Yazeed Abdul Mumin & Awudu Abdulai & Renan Goetz, 2023. "The role of social networks in the adoption of competing new technologies in Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 510-533, June.
    13. Li, Qi & Li, Kai, 2021. "Re-examining the Effect of Social Embeddedness on Technology Diffusion from the Perspective of Scale Differentiation— A Case Study from China," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329394, Asian Society of Agricultural Economists (ASAE).
    14. Ambali, Omotuyole I. & Areal, Francisco J. & Georgantzis, Nikolaos & Oyetunde-Usman, Zainab, 2021. "Examining the Role of Spatially-Dependent Time Preference in Improved Rice Technology Adoption Decisions," 2021 Conference, August 17-31, 2021, Virtual 315286, International Association of Agricultural Economists.
    15. Martınez, Daniel Morales & Maia, Alexandre Gori & Garcia, Junior Ruiz, 2022. "Spatial diffusion of efficient irrigation systems: a study of S˜ao Paulo, Brazil," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(03), January.
    16. Li, Kai & Li, Qi, . "Social embeddedness and agricultural technology diffusion from the perspective of scale differentiation – a case study from China," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 26(01).
    17. Funes, Jose E., "undated". "The role of social interaction in the adoption and geographic diffusion of an agricultural technology: The case of high-iron bean (Phaseolus vulgaris) in Rwanda," 2018 Annual Meeting, August 5-7, Washington, D.C. 273872, Agricultural and Applied Economics Association.
    18. Yanbing Wang & Niklas Möhring & Robert Finger, 2023. "When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 256-273, March.
    19. Jose Funes & Laixiang Sun & Fernando Sedano & Giovanni Baiocchi & Todd Benson, 2022. "Social interaction and geographic diffusion of iron‐biofortified beans in Rwanda," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 503-528, July.
    20. Hongyun Zheng & Wanglin Ma & Gucheng Li, 2021. "Learning from neighboring farmers: Does spatial dependence affect adoption of drought‐tolerant wheat varieties in China?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(4), pages 519-537, December.
    21. Ke Liu & Zhenhong Qi & Li Tan & Canwei Hu, 2023. "How Neighbors Influence Rice–Crayfish Integrated System Adoption: Evidence from 980 Farmers in the Lower and Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 20(5), pages 1-13, March.
    22. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.

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