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

Australian Journal of Agricultural and Resource Economics

Volumn 59, Issue 2, 2015, Pages 225-241

  Ward, Patrick S ^a   Pede, Valerien O ^b  

^a INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^b INTERNATIONAL RICE RESEARCH INSTITUTE   (Philippines)

Author keywords

Hybrid rice; Social network; Spatial diffusion; Technology spillover

Indexed keywords

EID: 84926418866     PISSN: 1364985X     EISSN: 14678489     Source Type: Journal    
DOI: 10.1111/1467-8489.12058     Document Type: Article

References (34)

1. Ahmed, A. (2013). Bangladesh Integrated Household Survey (BIHS) 2011-2012 [dataset] International Food Policy Research Institute, Washington, D.C.
2. Anselin, L. (1995). Local indicators of spatial association-LISA, Geographical Analysis 27, 93-115.
3. Arraiz, I., Drukker, D., Kelejian, H. and Prucha, I. (2010). A spatial Cliff-Ord-type model with heteroskedastic innovations: Small and large sample results, Journal of Regional Science 50, 592-614.
4. Azad, M.A.S., Mustafi, B.A.A. and Hossain, M. (2008). Hybrid rice: Economic assessment of a promising technology for sustainable food grain production in Bangladesh, In AARES 52nd Annual Conference.
5. Bandiera, O. and Rasul, I. (2006). Social networks and technology adoption in northern Mozambique, The Economic Journal 116, 869-902.
6. Bardhan, P. (1979). Agricultural development and land tenancy in a peasant economy: A theoretical and empirical analysis, American Journal of Agricultural Economics 61, 48-57.
7. Case, A. (1992). Neighborhood influence and technological change, Regional Science and Urban Economics 22, 491-508.
8. Chandrasekhar, A. and Lewis, R. (2011). Econometrics of social networks, Mimeograph.
9. Cliff, A.D. and Ord, J.K. (1981). Spatial Processes: Models & Applications. Pion, London.
10. Conley, T. and Udry, C. (2010). Learning about a new technology: Pineapple in Ghana, American Economic Review 100, 35-69.
11. Dercon, S. and Krishnan, P. (1996). Income portfolios in rural Ethiopia and Tanzania: Choices and constraints, Journal of Development Studies 32, 850-875.
12. Duflo, E., Kremer, M. and Robinson, J. (2006). Why don't farmers use fertilizer? evidence from field experiments in Eastern Kenya, Unpublished manuscript.
13. Feder, G. (1980). Farm size, risk aversion and the adoption of new technology under uncertainty, Oxford Economic Papers 32, 263-283.
14. Feder, G. and Umali, D. (1993). The adoption of agricultural innovations: A review, Technological Forecasting and Social Change 43, 215-239.
15. Feder, G., Just, R.E. and Zilberman, D. (1985). Adoption of agricultural innovations in developing countries: A survey, Economic Development and Cultural Change 33, 255-298.
16. Fischer, A.J. and Lindner, R.K. (1980). The effect of distance to the information source or information quality and the time to adoption, Unpublished University of Adelaide.
17. Foster, A. and Rosenzweig, M. (1995). Learning by doing and learning from others: Human capital and technical change in agriculture, Journal of Political Economy 103, 1176-1209.
18. Foster, A. and Rosenzweig, M. (1996). Technical change and human capital returns and investments: Evidence from the Green Revolution, American Economic Review 86, 931-953.
19. Holloway, G., Shankar, B. and Rahman, S. (2002). Bayesian spatial probit estimation: A primer and an application to HYV rice adoption, Agricultural Economics 27, 383-402.
20. Kelejian, H. and Prucha, I. (1998). A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances, Journal of Real Estate Finance and Economics 17, 99-121.
21. Kelejian, H.H. and Prucha, I.R. (1999). A generalized moments estimator for the autoregressive parameter in a spatial model, International Economic Review 40, 509-533.
22. Kelejian, H. and Prucha, I. (2010). Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances, Journal of Econometrics 157, 53-67.
23. Kolenikov, S. and Angeles, G. (2009). Socioeconomic status measurement with discrete proxy variables: Is principal component analysis a reliable answer? Review of Income and Wealth 55, 128-165.
24. Langyintuo, A. and Mekuria, M. (2008). Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture, African Journal of Agricultural and Resource Economics 2, 151-169.
25. Lipton, M. (1976). Agricultural finance and rural credit in poor countries, World Development 4, 543-553.
26. Liu, E. (2013). Time to change what to sow: Risk preferences and technology adoption decisions of cotton farmers in China, Review of Economics and Statistics 95, 1386-1403.
27. Maertens, A. and Barrett, C. (2012). Measuring social networks' effects on agricultural technology adoption, American Journal of Agricultural Economics 95, 353-359.
28. Manski, C.F. (1993). Identification of endogenous social effects: The reflection problem, Review of Economic Studies 60, 531-542.
29. Ostrom, E. (2000). Collective action and the evolution of social norms, Journal of Economic Perspectives 14, 137-158.
30. Rashid, H.-A., Julfiquar, A. and Ali, S. (2011). History, Impact and Current Status of Hybrid Rice Research, Development and Delivery in Bangladesh. Agricultural Advisory Services, Dhaka, Bangladesh.
31. Sandmo, A. (1971). On the theory of the competitive firm under price uncertainty, American Economic Review 61, 65-73.
32. Spielman, D., Kolady, D., Ward, P., Rashid, H.-A. and Gulati, K. (2012) Public expenditures, private incentives and technology adoption: The economics of hybrid rice in South Asia, Discussion Paper 01233, IFPRI.
33. Staal, S., Baltenweck, I., Waithaka, M., DeWolff, T. and Njoroge, L. (2002). Location and uptake: Integrated household and GIS analysis of technology adoption and land use, with application to smallholder dairy farms in Kenya, Agricultural Economics 27, 295-315.
34. Ward, P.S., Florax, R.J.G.M. and Flores-Lagunes, A. (2014). Climate change and agricultural productivity in Sub-Saharan Africa: A spatial sample selection model. European Review of Agricultural Economics 41, 199-226.