Knowledge Sharing and Learning Among Smallholders in Developing Economies: Implications, Incentives, and Reward Mechanisms

48 Pages Posted: 20 Mar 2016 Last revised: 12 Aug 2019

See all articles by Shihong Xiao

Shihong Xiao

Fudan University

Ying-Ju Chen

Hong Kong University of Science & Technology (HKUST) - Department of Information Systems, Business Statistics and Operations Management

Christopher S. Tang

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area

Date Written: March 19, 2016

Abstract

In developing economies, smallholders apply their own specialized knowledge and exert costly effort to manage their farms. To raise overall productivity, NGOs and governments are advocating various knowledge sharing and learning platforms for farmers to exchange a variety of farming techniques. Putting altruism aside, we examine the overall economic implications for heterogeneous farmers to share their private knowledge voluntarily with others under (implicit) competition. By analyzing a multiperson sequential game, we find that farmers with high knowledge are reluctant to share knowledge, and consequently the voluntary shared level is always lower than or equal to the “efficient” shared level that maximizes farmer welfare under coordination. This finding is motivational in developing a reward mechanism to entice farmers to elevate their knowledge shared level in a decentralized system so as to maximize farmer welfare. Upon reviewing different mechanisms, we propose a quota-based reward mechanism that can entice farmers to share knowledge voluntarily up to the efficient shared level.

Keywords: knowledge sharing, learning effect, incentive mechanisms

Suggested Citation

Xiao, Shihong and Chen, Ying-Ju and Tang, Christopher S., Knowledge Sharing and Learning Among Smallholders in Developing Economies: Implications, Incentives, and Reward Mechanisms (March 19, 2016). Available at SSRN: https://ssrn.com/abstract=2750337 or http://dx.doi.org/10.2139/ssrn.2750337

Shihong Xiao (Contact Author)

Fudan University ( email )

670 Guoshun Road
Shanghai
China

Ying-Ju Chen

Hong Kong University of Science & Technology (HKUST) - Department of Information Systems, Business Statistics and Operations Management ( email )

Clear Water Bay
Kowloon
Hong Kong

Christopher S. Tang

University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

HOME PAGE: http://www.anderson.ucla.edu/x980.xml

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