Genius, Margarita and Koundouri, Phoebe and Nauges, Celine and Tzouvelekas, Vangelis (2013): Information Spillovers in Irrigation Technology Diffusion: Social Learning, Extension Visits and Spatial Effects. Published in:
Preview |
PDF
MPRA_paper_122342.pdf Download (377kB) | Preview |
Abstract
In this article we investigate the role of information spillovers in promoting irrigation technology adoption and diffusion. In particular, we investigate the effect of different channels of information spillovers, namely informal social learning and formal extension services, while acknowledging that this effect is a function of farm-speci c spatial, environmental and socioeconomic characteristics, the latter including the efficient identification of the farmers' influential peers. For doing so, we develop a theoretical model of irrigation technology adoption and diffusion, which we then empirically apply using duration analysis on a micro-dataset of olive producing farms in Crete. Because unobserved variables are potentially relevant for quantifying the effect of information provision (formal and informal) we use observable indicators in a factor analytic model to proxy the unobserved latent variables used in our econometric estimation of the duration model. To the best of our knowledge, this is the first paper that brings together, both theoretically and empirically,three strands of the adoption and diffusion literature: (i) the literature on social learning, (ii) the literature on extension services, while (iii) proposing an econometric approximation of the involved unobserved variables that crucially contribute in the identification of informational cascades among rural population. The paper concludes with policy recommendations based on our empirical results, which suggest that both formal and informal information spillovers are strong determinants of technology adoption and diffusion.
Item Type: | MPRA Paper |
---|---|
Original Title: | Information Spillovers in Irrigation Technology Diffusion: Social Learning, Extension Visits and Spatial Effects |
Language: | English |
Keywords: | irrigation technology adoption and diffusion, informational spillovers, social learning, extension services, factor analytic model, duration analysis, olive farms |
Subjects: | O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification |
Item ID: | 122342 |
Depositing User: | Prof. Phoebe Koundouri |
Date Deposited: | 17 Oct 2024 06:42 |
Last Modified: | 17 Oct 2024 06:42 |
References: | Abdulai, A., and W.E. Huffman (2005). The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania. American Journal of Agricultural Economics, 87: 645-659. Bandiera, O. and I. Rasul (2006). Social Networks and Technology Adoption in Northern Mozambique. Economic Journal, 116: 869-902. Besley, T. and A. Case (1983). Modeling Technology Adoption in Developing Countries. American Economic Review, 83: 396-402. Birkhaeuser, D., Evenson, R.E., and G. Feder (1991). The Economic Impact of Agricultural Extension: A Review. Economic Development and Cultural Change, 39: 610-50. Carroll, R.J., Ruppert, D., and L.A. Stefanski (1995). Nonlinear Measurement Error Models. Chapman and Hall, London. Caswell, M.F., and D. Zilberman (1986). The Effects of Well Depth and Land Quality on the Choice of Irrigation Tecnology. American Journal of Agricultural Economics, 68: 798-811. Conley, T.G, and C.R. Udry (2010). Learning about a New Technology: Pineapple in Ghana. American Economic Review, 100: 35-69. Dinar, A., Campbell, M., and D. Zilberman (1992). Adoption of Improved Irrigation and Drainage Reduction Technologies under Limiting Environmental Conditions. Environmental and Resource Economics, 2: 373-398. Dridi, C., and M. Khanna (2005). Irrigation Technology Adoption and Gains from Water Trading under Asymmetric Information. American Journal of Agricultural Economics, 87: 289-301. Evenson, R. and L. Westphal (1995). Technological Change and Technology Strategy in J. Behrman and T.N. Srinivasan (eds.), Handbook of evelopment Economics, Amsterdam: North Holland. Foster, A.D., and M.R. Rosenzweig (1995). Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture. Journal of Political Economy, 103: 1176-1209. Gervais, J.P., Lambert, R. and F. Boutin-Dufrense (2001). On the Demand for Information Services: An Application to Lowbush Blueberry Producers in Eastern Canada. Canadian Journal of Agricultural Economics, 49: 217-232. Gisselquist, D., Nash, J. and C. Pray (2002). Deregulating the Transfer of Agricultural Technology: Lessons from Bangladesh, India,Turkey, and Zimbabwe. The World Bank Research Observer, 17: 237-265. Greene, W.H. (2003). Econometric Analysis. Prentice Hall; 5th International Edition. Groom, B., Koundouri, P., Nauges, C. and A. Thomas (2008). The Story of the Moment: Risk Averse Cypriot Farmers Respond to Drought Management. Applied Economics, 40: 315-326. Huffman, W.E. and S. Mercier (1991). Joint Adoption of Microcomputer Technologies: An Analysis of Farmers’ Decisions. Review of Economics and Statistics, 73: 541-546. Just, R.E. and D. Zilberman (1983). Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture. Oxford Economic Papers, 35: 307-328. Kalbfleisch, J.D. and R. Prentice (2002). The Statistical Analysis of Failure Time Data. Wiley Interscience, New Jersey. Karshenas, M. and P. Stoneman (1993). Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model. Rand Journal of Economics, 24: 503-28. Kerr, S., and R.G. Newell (2003). Policy-Induced Technology Adoption: Evidence from the U.S. Lead Phasedown. Journal of Industrial Economics, 51: 317-343. Koundouri, P., Nauges, C. and V. Tzouvelekas (2006). Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology. American Journal of Agricultural Economics, 88: 657-670. Krzanowski, W.J. (2000). Principles of Multivariate Analysis: A User’s Perspective. Oxford University Press, New York. Larse, K., Kim, R. and F. Theus (2009). Agribusiness and Innovation Systems in Africa. Agriculture and Rural Development Division, The World Bank: Washington DC. Manski, C.F. (1993). Identification of Endogenous Social Effects: The Reflection Problem. Review of Economic Studies, 60: 531-542. Moriana, A., Orgaz, F., Pastor, M. and E. Fereres (2003). Yield Responses of a Mature Olive Orchard to Water De?cits. Journal of the American Society of Horticultural Science, 128: 425-431. Munshi, K. (2004). Social Learning in Heterogeneous Population: Social Learning in the Indian Green Revolution. Journal of Development Economics, 73: 185-213. Pereira, A.R., Green, S.R. and N.A. Villa Nova (2006). Penman-Monteith Reference Evapotran-spiration Adapted to Estimate Irrigated Tree Transpiration. Agricultural Water Managment, 83:153-161 Perrin, R. and D. Winkelmann (1976). Impediment to Technical Progress on Small versus Large Farms. American Journal of Agricultural Economics, 58: 888-894. Putler, D.S. and D. Zilberman (1984). Computer Use in Agriculture: Evidence from Tulare County, California. American Journal of Agricultural Economics, 70: 790-802. Rahm, M. and W. Huffman (1984). The Adoption of Reduced Tillage: The Role of Human Capital and Other Variables. American Journal of Agricultural Economics, 66: 405-413. Rivera, W.M. and G. Alex (2003). Extension Reform for Rural Development. World Bank, Washington, DC. Rogers, E.M. (1995). Diffusion of Innovations, 4th edition, Free Press, New York. Saha, A., Love, A.H. and R. Schwart (1994). Adoption of Emerging Technologies under Output Uncertainty. American Journal of Agricultural Economics, 76: 386-846. Stallings, J.L. (1968). Weather Indexes. Journal of Farm Economics, 42: 180-186. Weber, J.G. (2012). Social Learning and Technology Adoption: The Case of Coffee Pruning in Peru. Agricultural Economics, 43: 1-12. Woittiez, I. and A. Kapteyn (1998). Social Interactions and Habit Formation in a Model of Female Labour Supply. Journal of Public Economics, 70: 185-205. World Bank (2006). Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems. Agriculture and Rural Development Division, The World Bank: Washington DC. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/122342 |