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Misperceiving and misreporting input quality: Implications for input use and productivity
Tesfamicheal Wossen1, Kibrom A Abay2, Tahirou Abdoulaye3
1International Institute of Tropical Agriculture (IITA), Kenya.
Journal of Development Economics
|June 17, 2022
Summary
Farmers often misperceive agricultural input quality, leading to measurement errors in farm data. Addressing these misperceptions can improve input allocation and boost farmer productivity.
Area of Science:
- Agricultural Economics
- Development Economics
- Econometrics
Background:
- Measurement error in farm survey data is a significant issue in developing countries.
- Farmers' misperception and misreporting of input quality contribute to this error.
- Unique crop variety identification data from Nigeria provides an opportunity to study these phenomena.
Purpose of the Study:
- To analyze the inferential and behavioral implications of input quality misperception and misreporting.
- To differentiate between misperception and misreporting in farm survey data.
- To assess the impact of misperception on agricultural input allocation and farmer productivity.
Main Methods:
- Utilized a non-parametric framework to detect measurement error.
- Employed analytical and empirical methods to illustrate implications.
- Analyzed unique crop variety identification data from Nigeria.
Main Results:
- Crop variety misclassification is primarily driven by farmer misperception, not misreporting.
- Treating misperception as misreporting (and vice versa) poses significant inferential challenges.
- Misperception leads to suboptimal allocation of complementary agricultural inputs, potentially hindering yield enhancement.
Conclusions:
- Farmer misperception of input quality is a key source of measurement error in agricultural surveys.
- Policy interventions addressing agricultural input market imperfections are crucial.
- Rectifying misperception can lead to improved farmer investment decisions and enhanced agricultural productivity.
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