Quantitative evaluation on effect of farmers' interaction in rural community:Evidence from Mengzhai Village, Henan Province
Received date: 2009-11-03
Revised date: 2010-05-26
Online published: 2010-10-20
Agriculture information flows will produce interactive learning effect, and the existence of interactive learning effect plays very important roles in the spread of agricultural technology. Based on the surveys in Mengzhai Village, Henan Province, we collect the data concerning the social and economic conditions on garlic production of neighbors, relatives and nearby-plot farmers, examine interactive learning effect, and analyze the interaction consequences in different types of groups. Results show that: (1) endogenous interaction effects exist only in the kinship group; (2) contextual interaction effect exists in nearby-plot groups and neighborhood group, but interactive learning effects have remarkable differences between the groups; (3) correlated effect exists in all the groups. Compared with the kinship group, the other groups have more correlated effect. Correlated effect is much weaker than endogenous interaction effect in the kinship group, and it is also smaller than contextual interaction effect in nearby-plot group and neighborhood group; (4) direction can be identified in farmers' interactive learning. This suggests that a few farmers learn new methods by communicating with external actors or accumulating the new knowledge by planting the garlic, and their interaction with other farmers might result in knowledge externalities. The size of externalities depends on the degree of intimacy between farmers. The above conclusions have some important policy implications for the diffusion of new technology in Mengzhai Village. For example, in the extension of new technology, we can select a few farmers with stronger absorptive ability in different kinship groups, encourage them to adopt new technology, and thus affect other farmers to accept new technology by the interactive effect. These results revise the findings of foreign scholars. This academic research has important meanings for policy-making.
Key words: farmer interaction; interaction effects; information flow
LUO Qing, LI Xiao-jian . Quantitative evaluation on effect of farmers' interaction in rural community:Evidence from Mengzhai Village, Henan Province[J]. GEOGRAPHICAL RESEARCH, 2010 , 29(10) : 1757 -1766 . DOI: 10.11821/yj2010100004
[1] Feder G, Just R E, Zilberman D. Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, 1985, 33(2): 255~298.
[2] Besley T, Case A. Modeling technology adoption in developing countries. American Economic Review, 1993, 83(2): 396~402.
[3] 辛良杰, 李秀彬, 朱会义, 等. 农户土地规模与生产率的关系及其解释的印证——以吉林省为例. 地理研究, 2009, 28(5): 1276~1284.
[4] 鲁礼新, 马昌河, 鲁奇. 水城县沙坡村农户经济行为调查研究. 地理研究, 2004, 23(2): 218~226.
[5] Bardhan P, Udry C. Development Microeconomics. Oxford: Oxford University Press, 1999.
[6] Bala V, Goyal S. Learning from neighbours. The Review of Economic Studies, 1998, 65: 595~621.
[7] Ellison G, Fudenberg D. Rules of thumb for social learning. Journal of Political Economy, 1993, 101(4): 612~643.
[8] Ellison G, Fudenberg D. Word-of-mouth communication and social learning. The Quarterly Journal of Economics, 1995, 110(1): 93~125.
[9] Foster A D, Rosenzweig M R. Learning by doing and learning from others: Human capital and technical change in agriculture. Journal of Political Economy, 1995, 103(6): 1176~1209.
[10] Manski C F. Identification of endogenous social effects: The reflection problem. The Review of Economic Studies, 1993, 60(3): 531~542.
[11] Manski C F. Economic analysis of social interaction. Journal of Economic Perspectives, 2000, 14: 115~136.
[12] Case A. Neighborhood influence and technological change. Regional Science and Urban Economics, 1992, 22: 491~508.
[13] Munshi K. Social learning in a heterogeneous population: Technology diffusion in the Indian green revolution. Journal of Development Economics, 2004, 73(1): 185~213.
[14] Borjas G J. Ethnicity, neighborhoods, and human capital externalities. American Economic Review, 1995,85(3): 365~390.
[15] Udry C, Conley T. Social learning through networks: The adoption of new agricultural technologies in Ghana. American Journal of Agricultural Economics, 2001, 83(3): 668~673.
[16] Bandiera O, Rasul I. Social networks and technology adoption in northern Mozambique. The Economic Journal, 2006, 116(514): 869~902.
[17] 李小建. 农户地理论. 北京: 科学出版社, 2009.
[18] 刘鹤玲. 亲缘选择理论:生物有机体的亲缘利他行为及其基因机制. 华中师范大学学报(自然科学版), 2008, 42(1): 114~118.
[19] 郑传贵. 社会资本与农村社区发展. 上海: 学林出版社, 2007.
[20] 叶航. 利他行为的经济学解释. 经济学家, 2005, (3): 22~29.
[21] 班杜拉. 社会学习理论. 沈阳: 辽宁人民出版社, 1989.
[22] 高峰强. 罗推尔社会行为学习理论述评. 山东师范大学学报(社会科学版), 1996, (1): 55~62.
[23] Becker G. A theory of social interaction. The Journal of Political Economy, 1974, 82(6): 1063~1093.
[24] 李涛. 社会互动与投资选择. 经济研究, 2006, (8): 45~57.
[25] Durlauf S. Neighborhood effects. In: Henderson J V, Thisse J F. Handbook of Regional and Urban Economics. Amsterdam: North Holland, 2004.2174~2242.
[26] 陆铭, 张爽. "人以群分":非市场互动和群分效应的文献评论. 经济学(季刊), 2007, 6(3): 991~1020.
[27] Brock W A, Durlauf S N. Interactions-based models. In: Heckman J, Leamer E. Handbook of Econometrics. Amsterdam:Elsevier, 2001. 3297~3380.
[28] Durlauf S N. On the empirics of social capital. The Economic Journal, 2002, 112(483): 459~479.
[29] Isham J. The effect of social capital on fertilizer adoption: Evidence from rural Tanzania, The Journal of African Economies, 2002, 11(1): 39~60.
[30] 李小建.还原论与农户地理研究.地理研究, 2010,29(5): 767~777.
[31] 林毅夫. 制度、技术与中国农业发展. 上海: 上海人民出版社, 1994.
/
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